Latest release

Census of Population and Housing: Census dictionary

Detailed information about Census variables, concepts and terms.

Reference period
2021
15/10/2021

Introduction

The 2021 Census dictionary contains detailed information about Census variables and concepts. The dictionary helps data users better understand and interpret Census data.

The main sections of the dictionary include:

  • What’s new for 2021 - summary of changes to classifications, Census variables and Census questions since 2016. Lists new variables for 2021.
  • Variables index - alphabetical list of all variables. Variables can be selected to see more details.
  • Variables by topic - helps users find variables based on topic group. Variables can be selected to see more details.
  • Glossary - terms and definitions to assist data users gain a broader understanding of the Census and Census topics.

About Census variables

Information collected through the Census questions become data, which is output through variables. The Census dictionary details each variable and contains information on:

  • Variable definition
  • Scope (the population that the variable is applicable to)
  • Categories
  • How the variable is created
  • Questions on the Census form related to the variable
  • History and changes
  • Data use considerations (including non-response rates)
  • Related variables and glossary terms
  • Useful links

Census data is available through a suite of standard products, or as data customised for individual user requirements. This reference material should be used in conjunction with Census data.

What's new for 2021

Classifications

Census uses the current Australian standard classifications where applicable to ensure Census data is comparable and compatible with previous censuses and other ABS data. These classifications are reviewed on an irregular basis to reflect changes in the Australian society. Several changes have occurred to these classifications since 2016.

Changes to classifications

Variables

The following tables outline:

  • New variables - there are 56 new variables for 2021. Most of these are derived from the new questions on long-term health conditions and service in the Australian Defence Force.
  • Changed variables - changes to questions, standards and classifications can affect how the data is output. This table describes key changes to variables from 2016 to 2021. 
  • Removed variables - details the three variables that were removed for 2021.

New variables

Changed variables

Removed variables

Variables index

Mnemonic  Variable  Topic Release  
ADCP Australian Defence Force service, detailed Service with the Australian Defence Force June 2022 New
ADFP Australian Defence Force service Service with the Australian Defence Force June 2022 New
AGE10P Age in ten year groups Population June 2022
AGE5P Age in five year groups Population June 2022
AGEP Age Population June 2022
ANC1P Ancestry 1st response  Cultural diversity  June 2022
ANC2P Ancestry 2nd response  Cultural diversity  June 2022
ANCP Ancestry multi response Cultural diversity June 2022
ANCRP Ancestry one or two response indicator Cultural diversity June 2022 New
ASSNP Core activity need for assistance Disability and carers June 2022
BEDD Number of bedrooms in private dwelling  Housing June 2022
BEDRD Number of bedrooms in private dwelling (ranges)  Housing  June 2022
BPFP Country of birth of mother Cultural diversity June 2022
BPLP Country of birth of person Cultural diversity June 2022
BPMP Country of birth of father Cultural diversity June 2022
BPPP Country of birth of parents Cultural diversity June 2022
C3SP Attainment of certificate III or higher or working towards a non-school qualification National reporting October 2022
CACF Count of all children in family Household and families June 2022
CALTHD Count of adults (15 years and over) with selected long-term health condition(s) in household Health June 2022 New
CCLTHD Count of children with selected long-term health condition(s) in household Health June 2022 New
CDCAF Count of dependent children under 15 in family temporarily absent Household and families June 2022
CDCF Count of dependent children in family Household and families June 2022
CDCUF Count of dependent children under 15 in family Household and families June 2022 New
CDPP Community Development Program participation Income and work  October 2022
CDSAF Count of dependent students (15-24 years) in family temporarily absent Household and families June 2022
CDSF Count of dependent students (15-24 years) in family Household and families June 2022 New
CHCAREP Unpaid child care Unpaid work and care June 2022
CITP Australian citizenship Cultural diversity June 2022
CLTHP Count of selected long-term health conditions Health June 2022 New
CNDAF Count of non-dependent children in family temporarily absent Household and families June 2022
CNDCF Count of non-dependent children in family Household and families June 2022
COARASP Whether has arthritis and asthma Health June 2022 New
COARDBP Whether has arthritis and diabetes Health June 2022 New
COARHDP Whether has arthritis and heart disease Health June 2022 New
COARMHP Whether has arthritis and mental health condition Health June 2022 New
COASHDP Whether has asthma and heart disease Health June 2022 New
COASLCP Whether has asthma and lung condition Health June 2022 New
COCNHDP Whether has cancer and heart disease Health June 2022 New
CODBHDP Whether has diabetes and heart disease Health June 2022 New
CODBKDP Whether has diabetes and kidney disease Health June 2022 New
COHDKDP Whether has heart disease and kidney disease Health June 2022 New
COHDMHP Whether has heart disease and mental health condition Health June 2022 New
COLCMHP Whether has lung condition and mental health condition Health June 2022 New
CPAD Count of persons temporarily absent from household Household and families June 2022
CPAF Count of persons temporarily absent from family Household and families June 2022
CPLTHD Count of persons with selected long-term health condition(s) in household Health June 2022 New
CPLTHRD Count of persons with selected long-term health condition(s) in household (ranges) Health June 2022 New
CPRF Count of persons in family Household and families June 2022
CTGP Child type (including grandchildren) Household and families June 2022
CTPP Child type Household and families June 2022
DLOD Dwelling location Housing June 2022
DOMP Unpaid domestic work: number of hours Unpaid work and care June 2022
DTWP  Distance to work (ranges) Transport April 2023
DWIP Dwelling type indicator for persons Housing April 2023
DWTD Dwelling type Housing June 2022
EETP Engagement in employment, education and training Education and training October 2022
EMFP Employment flag National reporting October 2022
EMPP Number of employees Income and work October 2022
ENGLP Proficiency in spoken English Cultural diversity June 2022
FBLF Family blending Household and families June 2022
FGAF Main type of family government benefit payment (administrative data) Income and work April 2023 New
FIAASF Total family income as available (administrative data) (weekly) Income and work April 2023 New
FIDF Family income derivation indicator Income and work June 2022
FINAF Total family income (administrative data) (weekly) Income and work April 2023 New
FINASF Total family income as stated (weekly) Income and work June 2022
FINF Total family income (weekly) Income and work June 2022
FMCF Family composition Household and families June 2022
FMGF Grandparent families Household and families June 2022
FNOF Family number Household and families June 2022
FPIP Parent indicator Household and families June 2022 New
FRLF Relationship between families Household and families June 2022
FSAF Main source of family income (administrative data) Income and Work April 2023 New
FTCP Form type Population April 2023  
GNGP Public/private sector Income and work October 2022
HARTP Whether has arthritis Health June 2022 New
HASTP Whether has asthma Health June 2022 New
HCANP Whether has cancer (including remission) Health June 2022 New
HCFMD Family household composition (dwelling) Household and families June 2022
HCFMF Family household composition (family) Household and families June 2022
HDEMP Whether has dementia (including Alzheimer's) Health June 2022 New
HDIAP Whether has diabetes (excluding gestational diabetes) Health June 2022 New
HEAP Level of highest educational attainment Education and training October 2022
HGAD Main type of household government benefit payment (administrative data) Income and Work April 2023 New
HHCD Household composition Household and families June 2022
HHEDP Whether has heart disease (including heart attack or angina) Health June 2022 New
HIAASD Total household income as available (administrative data) (weekly) Income and work April 2023 New
HIDD Household income derivation indicator Income and work June 2022
HIED Equivalised total household income (weekly) Income and work June 2022
HINAD Total household income (administrative data) (weekly) Income and work April 2023 New
HINASD Total household income as stated (weekly) Income and work June 2022
HIND Total household income (weekly) Income and work June 2022
HKIDP Whether has kidney disease Health June 2022 New
HLTHP Whether has one or more long-term health condition(s) Health June 2022 New
HLUNP Whether has lung condition (including COPD and emphysema) Health June 2022 New
HMHCP Whether has mental health condition (including depression or anxiety) Health June 2022 New
HOLHP Whether has other long-term health condition(s) Health June 2022 New
HOSD Housing suitability Housing  June 2022
HRSP Hours worked Income and work October 2022
HRWRP Hours worked (ranges)  Income and work  October 2022
HSAD Main source of household income (administrative data) (weekly) Income and work April 2023 New
HSCP Highest year of school completed Education and training June 2022
HSTRP Whether has had a stroke Health June 2022 New
IFAGEP Imputation flag for age Population June 2022
IFDTWP  Imputed distance to work Transport April 2023
IFMSTP Imputation flag for registered marital status Household and families June 2022
IFNMFD Imputation flag for number of males and females in dwelling Household and families June 2022
IFPOWP Imputation flag for place of work Location October 2022
IFPURP Imputation flag for place of usual residence Location June 2022
IFSEXP Imputation flag for sex Population June 2022
IGAP Main type of personal government benefit payment (administrative data) Income and work April 2023 New
INCAP Total personal income (administrative data) (weekly) Income and work April 2023 New
INCP Total personal income (weekly) Income and work June 2022
INDP Industry of employment Income and work October 2022
INGDWTD Indigenous household indicator Aboriginal and Torres Strait Islander peoples June 2022
INGF Aboriginal and Torres Strait Islander family indicator Aboriginal and Torres Strait Islander peoples June 2022 New
INGP Indigenous status Aboriginal and Torres Strait Islander peoples June 2022  
ISAP Main source of personal income (administrative data) Income and work April 2023 New
LANP Language used at home Cultural diversity June 2022
LFFP Labour force participation flag National reporting October 2022
LFHRP Labour force status and hours worked not stated Income and work October 2022
LFSF Labour force status of parents/partners in families Income and work October 2022
LFSP Labour force status Income and work October 2022
LLDD Landlord type  Housing June 2022
LNGP Whether reported using an Aboriginal and/or Torres Strait Islander language at home Aboriginal and Torres Strait Islander peoples June 2022 New
LTHP Type of long-term health condition Health June 2022 New
MAID Mortgage affordability indicator Housing June 2022 New
MDCP Social marital status Household and families June 2022
MRED Mortgage repayments (monthly) dollar values Housing June 2022
MRERD Mortgage repayments (monthly) ranges  Housing  June 2022
MSTP Registered marital status Household and families June 2022
MTW06P  Method of travel to work (6 travel modes) Transport October 2022
MTW15P Method of travel to work (15 travel modes) Transport October 2022
MTWP Method of travel to work Transport October 2022
MV1D Household one year mobility indicator Location October 2022
MV5D Household five year mobility indicator Location October 2022
NPDD Type of non-private dwelling Housing June 2022
NPRD Number of persons usually resident in dwelling Household and families June 2022
OCCP Occupation Income and work October 2022
OCCEV1P Occupation experimental update version 1 Income and work October 2022 New
OCSKP Occupation skill level Income and work October 2022 New
OCSKEV1P Occupation skill level experimental update version 1 Income and work October 2022 New
OPGP Homelessness operational groups Housing April 2023
POWP Place of work Location October 2022
PUR1P Place of usual residence one year ago Location  October 2022
PUR5P Place of usual residence five years ago Location  October 2022
PURP Place of usual residence Location  June 2022
QALFP Non-school qualification: field of study Education and training October 2022
QALLP Non-school qualification: level of education Education and training October 2022
RAID Rent affordability indicator Housing June 2022 New
RELP Religious affiliation Cultural diversity June 2022
RLCP Relationship as reported for couples Household and families June 2022
RLGP Relationship in household (including grandchildren) Household and families June 2022
RLHP Relationship in household Household and families June 2022
RLNP Residential status in a non-private dwelling Housing June 2022
RNTD Rent (weekly) dollar values Housing June 2022
RNTRD Rent (weekly) ranges Housing  June 2022
RPIP Family/household reference person indicator Household and families June 2022
SEXP Sex Population June 2022
SIEMP Status in employment Income and work October 2022
SLPP Sex of lone parent Household and families June 2022
SPIP Spouse/partner indicator Household and families June 2022 New
SPLF Location of spouse Household and families June 2022
SSCF Same-sex couple indicator Household and families June 2022
STRD Dwelling structure Housing June 2022
STUP Full-time/part-time student status Education and training June 2022
SVFP Level of workforce participation survey comparison flag National reporting October 2022
TEND Tenure type Housing June 2022
TENLLD Tenure and landlord type  Housing June 2022
TISP Number of children ever born  Population June 2022
TISRP Number of children ever born (ranges)  Population  June 2022
TYPP Type of educational institution attending Education and training June 2022
TYSTAP Educational institution: attendee status Education and training June 2022
UAI1P Usual address one year ago indicator Location  October 2022
UAI5P Usual address five years ago Indicator Location  October 2022
UAICP Usual address indicator Census night Location June 2022
UEFP Unemployment flag National reporting October 2022
UNCAREP Unpaid assistance to a person with a disability, health condition, or due to old age Disability and carers June 2022
VEHD Number of motor vehicles Transport June 2022
VEHRD Number of motor vehicles (ranges)  Transport  June 2022
VOLWP Voluntary work for an organisation or group Unpaid work and care June 2022
WTNSQP People with or working towards a non-school qualification National reporting October 2022 New
YARP Year of arrival in Australia Cultural diversity June 2022
YARRP Year of arrival in Australia (ranges)  Cultural diversity  June 2022
YR12C2P Attainment of year 12 or certificate II or higher National reporting October 2022
YR12C3P Attainment of year 12 or certificate III or higher National reporting October 2022

Variables by topic

Aboriginal and Torres Strait Islander peoples

Cultural diversity

Disability and carers

Education and training

Health

Household and families

Housing

Income and work

Location

Population

Service with the Australian Defence Force

Transport

Unpaid work and care

National reporting indicators

Aboriginal and Torres Strait Islander peoples

Mnemonic  Variable  Release  
INGDWTD Indigenous household indicator June 2022  
INGF Aboriginal and Torres Strait Islander family indicator June 2022 New
INGP Indigenous status June 2022  
LNGP Whether reported using an Aboriginal and/or Torres Strait Islander language at home June 2022 New

Indigenous household indicator (INGDWTD)

Definition

This variable indicates households which have at least one person who identified as being Aboriginal and/or Torres Strait Islander. On Census Night the person needs to have been present and a usual resident at the dwelling.

Scope

Occupied private dwellings

Categories

CodeCategory
1Household with Aboriginal and/or Torres Strait Islander person(s)
2Other households
@Not applicable

Number of categories: 3

Other households (2) category comprises of households where all persons were one, or a combination of, the following:

  • Persons who identified as non-Indigenous
  • Persons who had their Indigenous status set to not stated because the Indigenous status question was blank on the returned Census form
  • Persons who had their Indigenous status set to not stated because they were wholly imputed records for non-responding dwellings deemed occupied on Census night
     

Not applicable (@) category comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is the person of Aboriginal or Torres Strait Islander origin?

How this variable is created

This variable is created from the Usual address indicator (UAICP) variable, Indigenous status (INGP) variable and Household composition (HHCD) variable. It is created by identifying whether at least one person in an occupied private dwelling is:

  • Aboriginal and/or Torres Strait Islander
  • Counted at home on Census Night.

Persons temporarily absent are excluded from this variable.

History and changes

This variable was introduced in 2011. For previous censuses, information about households with Aboriginal and/or Torres Strait Islander people was available on request. In 2016, there were some minor changes made to the wording of the output categories.

No changes have been made for 2021.

Data use considerations

Changes in Indigenous status between censuses can affect the interpretation of Census data for Aboriginal and Torres Strait Islander peoples. It is important to remember that Indigenous status is collected through self-identification and any change in how a person chooses to identify will affect the count of Aboriginal and Torres Strait Islander peoples in the Census.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. 

The 2021 Post Enumeration Survey estimated that 983,257 Aboriginal and Torres Strait Islander people should have been counted in the Census, compared with 812,505 persons who were counted. This is equivalent to a net undercount of 170,752 persons, or a rate of 17.4%. For further information see Estimates of Aboriginal and Torres Strait Islander Australians methodology or Report on the quality of 2021 Census data: Statistical Independent Assurance Panel.

A person’s decision to identify as being of Aboriginal and/or Torres Strait Islander origin in the Census may be considered personal and sensitive. How a person responds to this question can be informed by many personal and external influences, both historical and contemporary (see Understanding change in counts of Aboriginal and Torres Strait Islander Australians: Census, 2021). The response given may also depend on whether Indigenous status is provided directly by the individual or by someone else on behalf of the household. As a result, some people choose not to answer the Indigenous status question in the Census. 

If no answer is provided to the Indigenous status question, a person’s Indigenous status is set to ‘not stated’. A person’s Indigenous status is also set to ‘not stated’ where person records are imputed for dwellings that were deemed occupied on Census night but for which no Census form was received. The Census does not impute Indigenous status for people or dwellings. 

In 2024, an error was identified where 15 dwellings were incorrectly classified to the category 'Household with Aboriginal and/or Torres Strait Islander person(s)' when they should have been categorised to 'Other households'. These dwellings are spread across 13 Local Government Areas (LGAs) in Queensland and South Australia and they are composed of 45 persons in 19 families.

Related variables and glossary terms

Aboriginal and Torres Strait Islander family indicator (INGF)

Definition

This variable indicates families with at least one person who identified as Aboriginal and/or Torres Strait Islander origin, who is a usual resident in the dwelling, and was at home on Census Night.

Scope

Families in family households

Categories

Code Category
1 Family with Aboriginal and/or Torres Strait Islander person(s)
2 Other families
& Not stated
@ Not applicable

Number of categories: 4

Not applicable (@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is the person of Aboriginal or Torres Strait Islander origin?

How this variable is created

This variable is created from Usual address indicator (UAICP), Indigenous status (INGP) and Family composition (FMCF). It is created by identifying whether at least one person in a family is:

Persons temporarily absent are excluded from this variable.

History and changes

This variable is new for the 2021 Census. In previous censuses information about families was only available on request.

Data use considerations

Changes between censuses can affect the interpretation of Aboriginal and Torres Strait Islander peoples data. It is important to remember that this variable is collected through self-identification and any change in identification will affect the count of Aboriginal and Torres Strait Islander peoples.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. 

The 2021 Post Enumeration Survey estimated that 983,257 Aboriginal and Torres Strait Islander people should have been counted in the Census, compared with 812,505 persons who were counted. This is equivalent to a net undercount of 170,752 persons, or a rate of 17.4%. For further information see Estimates of Aboriginal and Torres Strait Islander Australians methodology or Report on the quality of 2021 Census data: Statistical Independent Assurance Panel.

A person’s decision to identify as being of Aboriginal and/or Torres Strait Islander origin in the Census may be considered personal and sensitive. How a person responds to this question can be informed by many personal and external influences, both historical and contemporary (see Understanding change in counts of Aboriginal and Torres Strait Islander Australians: Census, 2021). The response given may also depend on whether Indigenous status is provided directly by the individual or by someone else on behalf of the household. As a result, some people choose not to answer the Indigenous status question in the Census. 

If no answer is provided to the Indigenous status question, a person’s Indigenous status is set to ‘not stated’. A person’s Indigenous status is also set to ‘not stated’ where person records are imputed for dwellings that were deemed occupied on Census night but for which no Census form was received. The Census does not impute Indigenous status for people or dwellings. 

Related variables and glossary terms

Indigenous status (INGP)

Definition

This variable records the response of persons who identified themselves as being of Australian Aboriginal and/or Torres Strait Islander origin in the Census.

Scope

All persons

Categories

Code Category
1 Non-Indigenous
2 Aboriginal
3 Torres Strait Islander
4 Both Aboriginal and Torres Strait Islander
& Not stated
V Overseas visitor

Number of categories: 6

See Understanding supplementary codes for more information.

Question(s) from the Census form

Is the person of Aboriginal or Torres Strait Islander origin?

How this variable is created

Responses are captured automatically from mark box responses on the form, so the risk of processing error is minimised. Where respondents identify as both Aboriginal and Torres Strait Islander, they are instructed to mark both the 'Yes, Aboriginal' and 'Yes, Torres Strait Islander' boxes. In cases where a respondent marked both ‘No’ and ‘Yes’ boxes, their Indigenous Status is set to ‘Not stated’.

In Australia, the method for collecting information about indigenous status is through self-identification. The ABS Standard Indigenous question is used in all ABS data collections. It is also used across a wide range of government agencies and Australian Aboriginal and Torres Strait Islander organisations. For more information please see the Indigenous Status Standard, 2014, Version 1.5.

The term Aboriginal and Torres Strait Islander 'origin' is used in the 2021 Census question. When used in the context of the ABS Standard Indigenous question it relates to a person's Australian Aboriginal and/or Torres Strait Islander descent and for some, but not all, their cultural identity.

Torres Strait Islander peoples come from the islands of the Torres Strait, between the tip of Cape York and Papua New Guinea.

History and changes

Indigenous status data is available from the 1971 Census onwards. A question on origin has been asked in every Census. However, prior to the 1971 Census, Aboriginal peoples were counted in order to exclude them from population estimates for each state and territory.

The 1967 Referendum changed section 127 of the Constitution to allow Aboriginal people to be included in official Census population counts. The 1971 and 1976 censuses asked each person's racial origin. Since the 1981 Census the word 'racial' has been dropped from the question. The 1996 Census was the first Census to allow people's origins to be recorded as both Aboriginal and Torres Strait Islander, prior to this only one or the other could be recorded.

No changes have been made for 2021.

Data use considerations

Changes in Indigenous status between censuses can affect the interpretation of Census data for Aboriginal and Torres Strait Islander peoples. It is important to remember that Indigenous status is collected through self-identification and any change in how a person chooses to identify will affect the count of Aboriginal and Torres Strait Islander peoples in the Census.

The non-response rate for Indigenous status (INGP) was 4.9% in 2021. This is a decrease from 6.0% in 2016.

The 2021 Post Enumeration Survey estimated that 983,257 Aboriginal and Torres Strait Islander people should have been counted in the Census, compared with 812,505 persons who were counted. This is equivalent to a net undercount of 170,752 persons, or a rate of 17.4%. For further information see Estimates of Aboriginal and Torres Strait Islander Australians methodology or Report on the quality of 2021 Census data: Statistical Independent Assurance Panel.

A person’s decision to identify as being of Aboriginal and/or Torres Strait Islander origin in the Census may be considered personal and sensitive. How a person responds to this question can be informed by many personal and external influences, both historical and contemporary (see Understanding change in counts of Aboriginal and Torres Strait Islander Australians: Census, 2021). The response given may also depend on whether Indigenous status is provided directly by the individual or by someone else on behalf of the household. As a result, some people choose not to answer the Indigenous status question in the Census. 

If no answer is provided to the Indigenous status question, a person’s Indigenous status is set to ‘not stated’. A person’s Indigenous status is also set to ‘not stated’ where person records are imputed for dwellings that were deemed occupied on Census night but for which no Census form was received. The Census does not impute Indigenous status for people or dwellings. 

Related variables and glossary terms

Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP)

Definition

This variable indicates whether a person reports using an Aboriginal and/or Torres Strait Islander language at home.

Scope

All persons

Categories

Code Category
1 Aboriginal and/or Torres Strait Islander language used at home
2 Aboriginal and/or Torres Strait Islander language not used at home
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Does the person use a language other than English at home?

How this variable is created

This variable is derived from the Census variable Language used at home (LANP), which is coded using the Australian Standard Classification of Languages (ASCL), 2016.

This variable defines a speaker of Aboriginal and Torres Strait Islander language as a person who reported using a language that was coded to ASCL broad group 8 – Australian Indigenous languages.

History and changes

This variable is new for the 2021 Census. Prior to this, data was obtained manually from the Language used at home (LANP) variable.

Additional instructional text was added to the Census form regarding Aboriginal and/or Torres Strait Islander languages and stated, 'Include use of Aboriginal or Torres Strait Islander languages in the ‘please specify’ option.

An enhancement to the online form presented a check box for Aboriginal and/or Torres Strait Islander language for those respondents who identified as Aboriginal and/or Torres Strait Islander in the Indigenous status question. To improve the data collected on Aboriginal and Torres Strait Islander languages, these respondents also had the option to provide a specific language in the ‘please specify’ box if they wished.

Additional instructions were added to the Interviewer Household Form question to improve the reporting of specific Aboriginal and Torres Strait Islander languages. The Interviewer Household Form is used in Aboriginal and Torres Strait Islander communities. Additional instructions included: 

  • Where possible, write the full name of the language
  • If the person speaks Creole, where possible provide more information. For example: Cape York Creole, Broome Kriol, Yumplatok (Torres Strait Creole). 

Data use considerations

The Main language used at home Census question is designed to find out which languages other than English are spoken by people at home. This question only allows for one answer and therefore the number of responses shown in the category ‘Speaker of an Aboriginal and Torres Strait Islander language’ is not all persons who speak an Aboriginal and Torres Strait Islander language.

Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP) is derived from Language used at home (LANP). The non-response rate for Language used at home (LANP) was 5.7% in 2021. This is a decrease from 6.5% in 2016.

Related variables and glossary terms

Cultural diversity

Mnemonic  Variable  Release  
ANC1P Ancestry 1st response  June 2022
ANC2P Ancestry 2nd response  June 2022
ANCP Ancestry multi response June 2022
ANCRP Ancestry one or two response indicator June 2022 New
BPFP Country of birth of mother June 2022
BPLP Country of birth of person June 2022
BPMP Country of birth of father June 2022
BPPP Country of birth of parents June 2022
CITP Australian citizenship June 2022
ENGLP Proficiency in spoken English June 2022
LANP Language used at home June 2022
RELP Religious affiliation June 2022
YARP Year of arrival in Australia June 2022
YARRP Year of arrival in Australia (ranges)  June 2022

Ancestry 1st response (ANC1P)

Definition

This variable indicates how a person identifies their ancestry. Respondents are able to provide up to two responses. The first ancestry provided is output into Ancestry 1st response (ANC1P).  

See also: Ancestry 2nd response (ANC2P), Ancestry multi response (ANCP)

Scope

All persons

Categories

Ancestry is coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG), 2019. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Oceanian 

2 North-West European

3 Southern and Eastern European

4 North-African and Middle Eastern

5 South-East Asian

6 North-East Asian

7 Southern and Central Asian

8 Peoples of the Americas

9 Sub-Saharan African

Supplementary codes

Number of categories: 

  • One-digit level: 12
  • Two-digit level: 41     
  • Four-digit level: 321

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s ancestry?

How this variable is created

The three ancestry variables are created from responses to the ancestry question on the Census form. The allocation of ancestries to the variables ANC1P and ANC2P are administrative only and based on the order in which the responses are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.

Respondents can select their ancestry by using the mark boxes, and/or the write in response boxes. The most common ancestry responses from the 2016 Census are the mark box options on the 2021 Census form, with the addition of separate Aboriginal and Torres Strait Islander mark boxes. Most responses for ancestry are captured in the mark box responses, but overall, the following scenarios apply.

Written responses are first coded using a combination of automatic reading and coding. The remaining responses require manual coding.

  • Where respondents report more than two ancestries, only two are processed.
  • Where only one ancestry was provided, ANC2P is recorded as ‘Not applicable’.
  • Ancestry is coded using the ASCCEG. If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

Ancestry was first included as a question in the 1986 Census. The aim of the question was to measure the ethnic composition of the population, but it did not perform as expected for this purpose as there was a high level of subjectivity and lack of clarity about what the question meant. Consequently, ancestry was not included in either the 1991 or 1996 Censuses.

In 2001, the question was asked again with instructions to 'Provide more than one ancestry if necessary', and to consider their parents, grandparents, and great grandparents.

For the 2006 and 2011 Censuses, respondents were asked to mark the ancestries they most closely identified with and to consider their ancestry back as far as two generations (i.e. their parents and grandparents). Respondents were asked to report at least one ancestry, but no more than two ancestries.

For the 2016 Census the format of the ancestry question was revised to provide two distinct text response areas for separate written ancestry responses. This change aimed to clarify responses and improve autocoding rates.

The 2021 Census includes mark boxes for both Aboriginal and Torres Strait Islander ancestries. It is expected these additional mark boxes will result in less people checking the ‘Australian’ mark box, and instead choosing to specify Aboriginal or Torres Strait Islander ancestries. For people completing the Census online and who identify as an Aboriginal and/or Torres Strait Islander person, the new response categories were presented at the top of the list.

For 2021, the order of the response categories has been updated based on frequency of reporting in the 2016 Census:

  • ‘Italian’ moved from 3rd position to 5th position
  • ‘German’ moved from 5th position to 6th position
  • ‘Chinese’ moved from 6th position to 4th position

As with previous Censuses, 'Australian' is placed as the last option for selection - prior to the text entry boxes for 'Other ancestry/s' - to encourage reporting of non-Australian ancestries where relevant.

For 2021, the other examples in the instructional text were updated.

For 2021, Norfolk Islander (code 1105) has been added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016.

Data use considerations

Ancestry can be related to the place a person or their parents or grandparents were born or the cultural group they most identify with. For example, a person may have been born in Australia, but they have Papua New Guinean ancestry. This helps us understand our diverse culture.

To accurately understand ancestry data, both ancestry variables (ANC1P and ANC2P) must be used. There are two ancestry variables because Census respondents are able to report up to two ancestries in their response to the question on ancestry. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, they have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is based on the order in which they are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable ANCP.

The non-response rate for Ancestry 1st response (ANC1P) was 6.2% in 2021. This is a decrease from 7.0% in 2016. 

Ethnicity

The ancestry variables provide a self-assessed measure of ethnicity and cultural background, which, when used in conjunction with the person’s and their parents' countries of birth provides a good indication of the ethnic background of first and second generation Australians. Ancestry in the Australian context is complex as there are many Australians with origins and heritage that do not, in practice, relate to their current ethnic identity.  When ancestry data is used alone, it should only be done to represent a broad measure of cultural diversity. Ancestry is particularly useful to identify distinct ethnic or cultural groups within Australia such as Maoris or Australian South Sea Islanders, and groups which are spread across countries such as Kurds. Surrogate measures of ethnicity such as country of birth or languages other than English spoken at home, alone cannot identify these groups. This information is useful in developing policies which reflect the needs of our society and for the effective delivery of services to particular ethnic communities.

Ancestry multi response - counting people or responses

When ANCP is added to a table and all the individual ancestries are summed together, a total count of responses, not people, is produced. This is because each person can provide up to two ancestries. So the total count of responses for all ancestries in Australia exceeds Australia’s total population. However, when using ANCP to look at individual ancestries, the count of responses is also the count of people. This is because respondents can only state a particular ancestry once (either as ANC1P or ANC2P).

Measurement issues

The ancestry question records all claims of association with ancestries, ethnic origins and cultures.  Whilst some people may respond according to how they may identify with a particular cultural group (subjectively), the intent of the question is to capture the cultural context in which they were raised (objectively).  Multiple responses are encouraged. Responses to the ancestry question are coded to the ASCCEG. The classification is not intended to classify people, but rather all claims of association with an ethnic origin or cultural group, i.e. one ancestry response is not equal to one person. Many people do not relate to a single ethnic origin or cultural group and will give multiple responses to a question on ancestry, ethnicity or cultural identity. The ABS has developed guidelines for the coding, storage and presentation of multiple responses to questions on ancestry, ethnicity or cultural identity data. These guidelines are included in the ASCCEG publication.

Related variables and glossary terms

  • Ancestry multi response (ANCP)
  • Ancestry 2nd response (ANC2P)
  • Ancestry one or two response indicator (ANCRP)
  • Birthplace of mother (BPFP)
  • Birthplace of father (BPMP)
  • Indigenous status (INGP)

Data downloads

Ancestry first response classification

Ancestry 2nd response (ANC2P)

Definition

This variable indicates how a person identifies their ancestry. Respondents are able to provide up to two responses. The second ancestry provided is output into Ancestry 2nd response (ANC2P).  

See also: Ancestry 1st response (ANC1P), Ancestry multi response (ANCP).

Scope

All persons

Categories

Ancestry is coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG), 2019. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Oceanian 

2 North-West European

3 Southern and Eastern European

4 North-African and Middle Eastern

5 South-East Asian

6 North-East Asian

7 Southern and Central Asian

8 Peoples of the Americas

9 Sub-Saharan African

Supplementary codes

Not applicable (@@@@) comprises:

  • Persons who provided a first ancestry but did not provide a second
  • ANC1P not stated

ANC2P does not have a ‘Not stated’ category. People who did not answer the ancestry question are included in ‘Not applicable’.

Number of categories: 

  • One-digit level: 12
  • Two-digit level: 41
  • Four-digit level: 321

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s ancestry?

How this variable is created

This variable is created from responses to the ancestry question on the Census form. The allocation of ancestries is administrative only and based on the order in which the responses are processed.

Respondents can select their ancestry by using the mark boxes, and/or the write in response boxes. The most common ancestry responses from the 2016 Census are the mark box options on the 2021 Census form, with the addition of separate Aboriginal and Torres Strait Islander mark boxes. Most responses for ancestry are captured in the mark box responses, but overall, the following scenarios apply:

  • Written responses are first coded using a combination of automatic reading and coding. The remaining responses require manual coding.
  • Where respondents report more than two ancestries, only two are processed.
  • Where only one ancestry was provided, ANC2P is recorded as ‘Not applicable’.
  • Ancestry is coded using the ASCCEG. If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

Ancestry was first included as a question in the 1986 Census. The aim of the question was to measure the ethnic composition of the population, but it did not perform as expected for this purpose as there was a high level of subjectivity and lack of clarity about what the question meant. Consequently, ancestry was not included in either the 1991 or 1996 censuses.

In 2001, the question was asked again with instructions to 'Provide more than one ancestry if necessary', and to consider their parents, grandparents, and great grandparents.

For the 2006 and 2011 censuses, respondents were asked to mark the ancestries they most closely identified with and to consider their ancestry back as far as two generations (i.e. their parents and grandparents). Respondents were asked to report at least one ancestry, but no more than two ancestries.

For the 2016 Census the format of the ancestry question was revised to provide two distinct text response areas for separate written ancestry responses. This change aimed to clarify responses and improve autocoding rates.

The 2021 Census includes mark boxes for both Aboriginal and Torres Strait Islander ancestries. It is expected these additional mark boxes will result in less people checking the ‘Australian’ mark box, and instead choosing to specify Aboriginal or Torres Strait Islander ancestries. For people completing the Census online and who identify as an Aboriginal and/or Torres Strait Islander person, these new response categories will be displayed at the top of the list.

For 2021, the order of the response categories has been updated based on frequency of reporting in the 2016 Census:

  • ‘Italian’ moved from 3rd position to 5th position
  • ‘German’ moved from 5th position to 6th position
  • ‘Chinese’ moved from 6th position to 4th position

As with previous censuses, 'Australian' is placed as the last option for selection (prior to the text entry boxes for 'Other ancestry/s') to encourage reporting of non-Australian ancestries where relevant.

For 2021, the other examples in the instructional text were updated.

For 2021, Norfolk Islander (code 1105) has been added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016.

Data use considerations

Ancestry can be related to the place a person or their parents or grandparents were born or the cultural group they most identify with. For example, a person may have been born in Australia, but they have Papua New Guinean ancestry. This helps us understand our diverse culture.

To accurately understand ancestry data, both ancestry variables (ANC1P and ANC2P) must be used. There are two ancestry variables because Census respondents are able to report up to two ancestries in their response to the question on ancestry. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, they have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is based on the order in which they are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.

The item non-response rate for the Ancestry question was 6.2% in 2021. This is a decrease from 7.0% in 2016. 

Ethnicity

The ancestry variables provide a self-assessed measure of ethnicity and cultural background, which, when used in conjunction with the person’s and their parents' countries of birth provides a good indication of the ethnic background of first and second generation Australians. Ancestry in the Australian context is complex as there are many Australians with origins and heritage that do not, in practice, relate to their current ethnic identity. When ancestry data is used alone, it should only be done to represent a broad measure of cultural diversity. Ancestry is particularly useful to identify distinct ethnic or cultural groups within Australia such as Maoris or Australian South Sea Islanders, and groups which are spread across countries such as Kurds. Surrogate measures of ethnicity such as country of birth or languages other than English spoken at home, alone cannot identify these groups. This information is useful in developing policies which reflect the needs of our society and for the effective delivery of services to particular ethnic communities.

Ancestry multi response - counting people or responses

When ANCP is added to a table and all the individual ancestries are summed together, a total count of responses, not people, is produced. This is because each person can provide up to two ancestries. So the total count of responses for all ancestries in Australia exceeds Australia’s total population. However, when using ANCP to look at individual ancestries, the count of responses is also the count of people. This is because respondents can only state a particular ancestry once (either as ANC1P or ANC2P).

Measurement issues

The ancestry question records all claims of association with ancestries, ethnic origins and cultures. Whilst some people may respond according to how they may identify with a particular cultural group (subjectively), the intent of the question is to capture the cultural context in which they were raised (objectively). Multiple responses are encouraged. Responses to the ancestry question are coded to the ASCCEG. The classification is not intended to classify people, but rather all claims of association with an ethnic origin or cultural group, i.e. one ancestry response is not equal to one person. Many people do not relate to a single ethnic origin or cultural group and will give multiple responses to a question on ancestry, ethnicity or cultural identity. The ABS has developed guidelines for the coding, storage and presentation of multiple responses to questions on ancestry, ethnicity or cultural identity data. These guidelines are included in the ASCCEG publication.

Related variables and glossary terms

  • Ancestry multi response (ANCP)
  • Ancestry 1st response (ANC1P)
  • Ancestry one or two response indicator (ANCRP)
  • Birthplace of mother (BPFP)
  • Birthplace of father (BPMP)
  • Indigenous status (INGP)

Data downloads

Ancestry 2nd response classification

Ancestry multi response (ANCP)

Definition

This variable indicates how a person identifies their ancestry. Respondents are able to provide up to two responses. These responses are combined and output into Ancestry multi response (ANCP).  

See also: Ancestry 1st response (ANC1P), Ancestry 2nd response (ANC2P).

Scope

All persons

Categories

Ancestry is coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG), 2019. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Oceanian

2 North-west European

3 Southern and Eastern European

4 North African and Middle Eastern

5 South-East Asian

6 North-East Asian

7 Southern and Central Asian

8 Peoples of the Americas

9 Sub-Saharan African

Supplementary codes

Not applicable (@@@@) comprises:

  • Persons who provided a first ancestry but did not provide a second
  • ANC1P not stated

Number of categories: 

  • One-digit level: 13
  • Two-digit level: 42   
  • Four-digit level: 323

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s ancestry?

How this variable is created

The three ancestry variables are created from responses to the ancestry question on the Census form. The allocation of ancestries to the variables ANC1P and ANC2P are administrative only and based on the order in which the responses are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.

Respondents can select their ancestry by using the mark boxes, and/or the write in response boxes. The most common ancestry responses from the 2016 Census are the mark box options on the 2021 Census form, with the addition of separate Aboriginal and Torres Strait Islander mark boxes. Most responses for ancestry are captured in the mark box responses, but overall, the following scenarios apply:

  • Written responses are first coded using a combination of automatic reading and coding. The remaining responses require manual coding.
  • Where respondents report more than two ancestries, only two are processed.
  • Where only one ancestry was provided, ANC2P is recorded as ‘Not applicable’.
  • Ancestry is coded using the ASCCEG. If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

Ancestry was first included as a question in the 1986 Census. The aim of the question was to measure the ethnic composition of the population, but it did not perform as expected for this purpose as there was a high level of subjectivity and lack of clarity about what the question meant. Consequently, ancestry was not included in either the 1991 or 1996 censuses.

In 2001, the question was asked again with instructions to 'Provide more than one ancestry if necessary', and to consider their parents, grandparents, and great grandparents.

For the 2006 and 2011 censuses, respondents were asked to mark the ancestries they most closely identified with and to consider their ancestry back as far as two generations (i.e. their parents and grandparents). Respondents were asked to report at least one ancestry, but no more than two ancestries.

For the 2016 Census the format of the ancestry question was revised to provide two distinct text response areas for separate written ancestry responses. This change aimed to clarify responses and improve autocoding rates.

The 2021 Census includes mark boxes for both Aboriginal and Torres Strait Islander ancestries. It is expected these additional mark boxes will result in less people checking the ‘Australian’ mark box, and instead choosing to specify Aboriginal or Torres Strait Islander ancestries. For people completing the Census online and who identify as an Aboriginal and/or Torres Strait Islander person, these new response categories will be displayed at the top of the list.

For 2021, the order of the response categories has been updated based on frequency of reporting in the 2016 Census:

  • ‘Italian’ moved from 3rd position to 5th position
  • ‘German’ moved from 5th position to 6th position
  • ‘Chinese’ moved from 6th position to 4th position

As with previous censuses, 'Australian' is placed as the last option for selection (prior to the text entry boxes for 'Other ancestry/s') to encourage reporting of non-Australian ancestries where relevant.

For 2021, the other examples in the instructional text were updated.

For 2021, Norfolk Islander (code 1105) has been added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016.

Data use considerations

Ancestry can be related to the place a person or their parents or grandparents were born or the cultural group they most identify with. For example, a person may have been born in Australia, but they have Papua New Guinean ancestry. This helps us understand our diverse culture.

To accurately understand ancestry data, both ancestry variables (ANC1P and ANC2P) must be used. There are two ancestry variables because Census respondents are able to report up to two ancestries in their response to the question on ancestry. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, they have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is based on the order in which they are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.

The item non-response rate for the Ancestry question was 6.2% in 2021. This is a decrease from 7.0% in 2016. 

Ethnicity

The ancestry variables provide a self-assessed measure of ethnicity and cultural background, which, when used in conjunction with the person’s and their parents' countries of birth provides a good indication of the ethnic background of first and second generation Australians. Ancestry in the Australian context is complex as there are many Australians with origins and heritage that do not, in practice, relate to their current ethnic identity. When Ancestry data is used alone, it should only be done to represent a broad measure of cultural diversity. Ancestry is particularly useful to identify distinct ethnic or cultural groups within Australia such as Maoris or Australian South Sea Islanders, and groups which are spread across countries such as Kurds. Surrogate measures of ethnicity such as country of birth or languages other than English spoken at home, alone cannot identify these groups. This information is useful in developing policies which reflect the needs of our society and for the effective delivery of services to particular ethnic communities.

Ancestry multi response -  counting people or responses

When ANCP is added to a table and all the individual ancestries are summed together, a total count of responses, not people, is produced. This is because each person can provide up to two ancestries. So the total count of responses for all ancestries in Australia exceeds Australia’s total population. However, when using ANCP to look at individual ancestries, the count of responses is also the count of people. This is because respondents can only state a particular ancestry once (either as ANC1P or ANC2P).

Measurement issues

The Ancestry question records all claims of association with ancestries, ethnic origins and cultures. Whilst some people may respond according to how they may identify with a particular cultural group (subjectively), the intent of the question is to capture the cultural context in which they were raised (objectively). Multiple responses are encouraged. Responses to the ancestry question are coded to the ASCCEG. The classification is not intended to classify people, but rather all claims of association with an ethnic origin or cultural group, i.e. one ancestry response is not equal to one person. Many people do not relate to a single ethnic origin or cultural group and will give multiple responses to a question on ancestry, ethnicity or cultural identity. The ABS has developed guidelines for the coding, storage and presentation of multiple responses to questions on ancestry, ethnicity or cultural identity data. These guidelines are included in the ASCCEG publication.

Related variables and glossary terms

  • Ancestry 1st response (ANC1P)
  • Ancestry 2nd response (ANC2P)
  • Ancestry one or two response indicator (ANCRP)
  • Birthplace of mother (BPFP)
  • Birthplace of father (BPMP)
  • Indigenous status (INGP)

Data downloads

Ancestry multi response classification

Ancestry one or two response indicator (ANCRP)

Definition

This variable indicates whether a person provided one response or two responses to the ancestry question.

Scope

All persons

Categories

Code Category
1 One response
2 Two responses
& Not stated
V Overseas visitor

Number of categories:  4

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s ancestry?

How this variable is created

This variable is derived from responses to the ancestry question. Respondents can provide up to two ancestries. When a respondent reports one ancestry they are coded to ‘One response’ and when a respondent reports two ancestries, they are coded to ‘Two responses’. Where a respondent does not answer the question, they are coded to ‘Not stated’.

History and changes

This is a new variable for 2021.

Data use considerations

This variable allows data users to understand whether a person provided one or two responses to the ancestry question.

The item non-response rate for the Ancestry question was 6.2% in 2021. This is a decrease from 7.0% in 2016. 

Related variables and glossary terms

  • Ancestry multi response (ANCP)
  • Ancestry 1st response (ANC1P)
  • Ancestry 2nd response (ANC2P)

Country of birth of mother (BPFP)

Definition

This variable indicates the country in which a person’s mother was born.

Scope

All persons

Categories

Country of birth of mother is coded using the Standard Australian Classification of Countries (SACC), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Oceania and Antarctica

2 North-West Europe

3 Southern and Eastern Europe

4 North Africa and the Middle East

5 South-East Asia

6 North-East Asia

7 Southern and Central Asia

8 Americas

9 Sub-Saharan Africa

 Supplementary Codes

Number of categories:

  • One-digit level: 12
  • Two-digit level: 39
  • Four-digit level: 293

See Understanding supplementary codes for more information.

Question(s) from the Census form

In which country was the person’s mother born?

How this variable is created

Country of birth of mother (BPFP) is a person variable that is created based on the response to country of birth of mother question. On the paper form, respondents may either use a mark box to indicate Australia or write the name of any other country in the text field. On the online form, the question uses a combination of mark boxes for the most frequent responses expected, accompanied by a text field to capture all other responses. The options are ordered based on the relative number of responses received in the 2016 Census.

Any typed country of birth response will also appear as an option for that person’s country of birth of mother.

The majority of responses for country of birth of person are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they cannot be coded or derived automatically.

If a person:

  • uses a former country name, it is coded to the current country name (for example, Siam would be coded to Thailand)
  • has marked Australia and given a text response, the responses are accepted in the order they appear on the form and the extra response is rejected
  • does not answer the question, and a mother has been identified for the family unit on the same Census form, then the mother’s birthplace is coded as the mother’s country of birth, for that respondent.

BPFP is coded using the SACC.  If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

A question relating to BPFP was first asked in the 1921 Census, but not included again until 1971 and has been included in all Australian censuses from 1971.

Prior to the 2001 Census, respondents were asked to write in their mother's birthplace as a text response.

From 2001 to 2011, the question was simplified to a simple mark box with two options for either Australia or Overseas. This was done following the introduction of a question on a person's ancestry.

For the 2016 Census, the question format was changed to again allow respondents to provide details for the country of birth of their mother where it was not Australia. Respondents were asked to use a mark box to respond for Australia, or a text field to specify any other country.

For the first time, the 2021 Census included instructions to provide guidance on situations where the birth parent is unknown and there is a second parent, or the person has same-sex parents.

There have been changes to the SACC for 2021:

  • 3302 'Czech Republic' has been changed to 'Czechia'
  • 9226 'Swaziland' has been changed to 'Eswatini'
  • 3206 'Former Yugoslav Republic of Macedonia' has been changed to 'North Macedonia'
  • 2402 spelling of 'Faeroe Islands' has been changed to 'Faroe Islands'

Data use considerations

Data on country of birth provide important information on ethnicity when used with Ancestry multi response (ANCP), Language used at home (LANP) and Religious affiliation (RELP).

The non-response rate for Country of birth of mother (BPFP) was 5.6% in 2021. This is a decrease from 6.7% in 2016.

Related variables and glossary terms

Data downloads

Country of birth of mother classification

Country of birth of person (BPLP)

Definition

This variable indicates in which country a person was born.

Scope

All persons

Categories

Country of birth of person is coded using the Standard Australian Classification of Countries (SACC), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Oceania and Antarctica

2 North-West Europe

3 Southern and Eastern Europe

4 North Africa and the Middle East

5 South-East Asia

6 North-East Asia

7 Southern and Central Asia

8 Americas

9 Sub-Saharan Africa

Supplementary Codes

Number of categories:

  • One-digit level: 12
  • Two-digit level: 39  
  • Four-digit level: 293

See Understanding supplementary codes for more information.

Question(s) from the Census form

In which country was the person born?

How this variable is created

This variable is created based on the response to the country of birth of person question. Respondents may either use a mark box to indicate the country of birth or write the name of the country in the text field.

The majority of responses for country of birth of person are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they cannot be coded or derived automatically.

If a person:

  • uses a former country name, it is coded to the current country name (for example, Siam would be coded to Thailand)
  • has marked Australia and given a text response, the responses are accepted in the order they appear on the form and the extra response is rejected.

In a small number of cases where country of birth is not stated, the category 'Born in Australia' is derived. This occurs when the person's father or mother was counted in the same dwelling and reported that they were born in Australia. If insufficient information was provided to derive a country response category, it remains as ‘Not stated’.

Country of birth is coded using the SACC. If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

This variable was first reported in 1911, and prior to 2006, it was referred to as 'Birthplace' rather than 'Country of birth'.

For 2021, the order of the response categories has been updated to reflect the most common answers from the 2016 Census:

  • ‘Philippines’ moved from 7th to 5th position
  • ‘Italy’ moved from 5th to 7th position.

Although China is a country in which a large proportion of Australia's population were born, China does not have a response category on the form. This is to allow people to write in:

  • China
  • Hong Kong
  • Macau, or
  • Taiwan.

There have been changes to the SACC for 2021:

  • 3302 'Czech Republic' has been changed to 'Czechia'
  • 9226 'Swaziland' has been changed to 'Eswatini'
  • 3206 'Former Yugoslav Republic of Macedonia' has been changed to 'North Macedonia'
  • 2402 spelling of 'Faeroe Islands' has been changed to 'Faroe Islands'.

Data use considerations

The measurement of the ethnic and cultural diversity of the Australian population, and the degree to which Australians retain their ethnic and cultural identity, is primarily based on the use of a number of Census variables related to a person's origin, including:

  • Ancestry multi response (ANCP)
  • Language used at home (LANP)
  • Religious affiliation (RELP)

The non-response rate for Country of birth of person (BPLP) was 5.3% in 2021. This is a decrease from 6.9% in 2016. 

Related variables and glossary terms

Data downloads

Country of birth of person classification

Country of birth of father (BPMP)

Definition

This variable indicates the country of birth of each person's father.

Scope

All persons

Categories

Country of birth of father is coded using the Standard Australian Classification of Countries (SACC), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Oceania and Antarctica

2 North-West Europe

3 Southern and Eastern Europe

4 North Africa and the Middle East

5 South-East Asia

6 North-East Asia

7 Southern and Central Asia

8 Americas

9 Sub-Saharan Africa

 Supplementary Codes

Number of categories:

  • One-digit level: 12
  • Two-digit level: 39  
  • Four-digit level: 293

See Understanding supplementary codes for more information.

Question(s) from the Census form

In which country was the person’s father born?

How this variable is created

Country of birth of father (BPMP) is a person variable that is created based on the response to country of birth of father question. On the paper form, respondents may either use a mark box to indicate Australia or write the name of any other country in the text field. On the online form, the question uses a combination of mark boxes for the most frequent responses expected, accompanied by a text field to capture all other responses. The options are ordered based on the relative number of responses received in the 2016 Census.

Any typed country of birth response will also appear as an option for that person’s country of birth of father.

The majority of responses for country of birth of person are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they cannot be coded or derived automatically.

If a person:

  • uses a former country name, it is coded to the current country name (for example, Siam would be coded to Thailand)
  • has marked Australia and given a text response, the responses are accepted in the order they appear on the form and the extra response is rejected
  • does not answer the question, and a father has been identified for the family unit on the same Census form, then the father's birthplace is coded as the father's country of birth, for that respondent.

BPMP is coded using the SACC. If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

A question relating to BPMP was first asked in the 1921 Census, but not included again until 1971. It has been included in all Australian censuses from 1971.

Prior to the 2001 Census, respondents were asked to write in their father's birthplace as a text response.

From 2001 to 2011, the question was simplified to a simple mark box with two options for either Australia or Overseas. This was done following the introduction of a question on a person's ancestry.

For the 2016 Census, the question format was changed to again allow respondents to provide details for the country of birth of their father where it was not Australia. Respondents were asked to use a mark box to respond for Australia, or a text field to specify any other country.

For the first time, the 2021 Census included instructions to provide guidance on situations where the birth parent is unknown and there is a second parent, or the person has same-sex parents.

There have been changes to the SACC for 2021:

  • 3302 'Czech Republic' has been changed to 'Czechia'
  • 9226 'Swaziland' has been changed to 'Eswatini'
  • 3206 'Former Yugoslav Republic of Macedonia' has been changed to 'North Macedonia'
  • 2402 spelling of 'Faeroe Islands' has been changed to 'Faroe Islands'.

Data use considerations

Data on country of birth provide important information on ethnicity when used with Ancestry multi response (ANCP), Language used at home (LANP) and Religious affiliation (RELP).

The non-response rate for Country of birth of father (BPMP) was 5.7% in 2021. This is a decrease from 6.9% in 2016. 

Related variables and glossary terms

Data downloads

Country of birth of father classification

Country of birth of parents (BPPP)

Definition

This variable indicates if a person's father and/or mother was born in Australia or overseas. It combines responses for Country of birth of mother (BPFP) and Country of birth of father (BPMP) to identify the country of birth of a person’s parents (Country of birth of parents, BPPP).

The data gained from this variable, together with Country of birth of person (BPLP), allows the study of first-generation and second-generation Australians.

Scope

All persons

Categories

Code Category
1 Both parents born overseas
2 Father only born overseas
3 Mother only born overseas
4 Both parents born in Australia
& Not stated - birthplace for either or both parents not stated
V Overseas visitor

Number of categories: 6

See Understanding supplementary codes for more information.

Question(s) from the Census form

In which country was the person’s father born?

In which country was the person’s mother born?

How this variable is created

This variable is derived from responses for BPFP and BPMP. Responses are captured automatically from mark boxes and text responses on the form.

If a person has a 'Not stated' response for their father and/or mother’s country of birth, then BPPP is coded to 'Not stated'.

History and changes

The two questions used to derive this variable were first asked in the 1921 Census, but not asked again until 1971. Since then, they have been asked in every Census.

Until 2001, the question asked people to write in their parents’ birthplaces. In the 2001 Census a question was also asked on ancestry. As a result, for the 2001-2011 Censuses the country of birth of parents response categories were changed to ask whether a person’s parents were born in Australia or overseas rather than collect detail on the parents’ overseas birthplaces.

For 2016 the name of the variable changed from 'Birthplace of parents' to 'Country of birth of parents'. After consultation with key data users, the question responses changed to again ask the specific birthplace of parents where it is not Australia.

No changes have been made for 2021.

Data use considerations

The questions used to derive BPPP (Country of birth of mother and Country of birth of father) changed in 2016. In 2011 both items only asked if a person's mother and father were born in Australia or overseas, whereas since 2016 the specific country of birth is asked for both parents.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Australian citizenship (CITP)

Definition

This variable records whether a person has Australian citizenship. The data is used to understand the tendency of different migrant groups to take up citizenship and to measure the size of the groups eligible to vote.

Scope

All persons

Categories

Code Category
1 Australian citizen
2 Not an Australian citizen
& Not stated
V Overseas visitor

Number of categories: 4 

See Understanding supplementary codes for more information.

Question(s) from the Census form

Is the person an Australian citizen?

How this variable is created

This variable is created from responses to the Australian citizen question. The responses are captured automatically from mark box responses so the risk of processing error is minimal. Respondents are asked to mark only one response. When respondents provide more than one, responses are accepted in the order they appeared on the form and the extra response is rejected.

History and changes

A question on national citizenship has been asked on every Census since 1911. However, prior to 1986 the specific question wording asked to specify country of citizenship or their 'nationality' rather than ask if they were an Australian citizen.

For 2021 the category labels have been updated:

  • Category 1 has changed from 'Australian' to 'Australian citizen'
  • Category 2 has changed from 'Not Australian' to 'Not an Australian citizen'

Data use considerations

Australian citizenship (CITP) data is useful when cross-classified with Country of birth of person (BPLP), Year of arrival in Australia (YARP) and Age (AGEP) data. When analysing Australian citizenship data cross-classified with Country of birth of person data, users may find that a small proportion of people have responded to the citizenship question as Australian citizen, but not a country of birth and vice versa. 

The non-response rate for Australian citizenship (CITP) was 5.1% in 2021. This is a decrease from 6.9% in 2016.

Related variables and glossary terms

  • Age (AGEP)
  • County of birth of person (BPLP)
  • Year of arrival in Australia (YARP)

Proficiency in spoken English (ENGLP)

Definition

This variable classifies a person's self-assessed proficiency in spoken English where they have identified they use a main language other than English at home (LANP). While people who use English only at home are included in this variable as a distinct category, they are not included in categories 2 to 5 which is the self-assessed ability in spoken English.

Scope

All persons

Categories

Code Category
1 Speaks English only
2 Uses other language and speaks English: Very well
3 Uses other language and speaks English: Well
4 Uses other language and speaks English: Not well
5 Uses other language and speaks English: Not at all
6 Not stated - both language (LANP) and proficiency in spoken English not stated
& Not stated - language (LANP) stated, proficiency in spoken English not stated
V Overseas visitor

Number of categories: 8

See Understanding supplementary codes for more information.

Question(s) from the Census form

Does the person use a language other than English at home?

How well does the person speak English?

How this variable is created

This variable is derived from the responses to two questions on the 2021 Census.

Speaks English only

Where respondents mark that they use English only at home, they are coded to category 1, 'Speaks English only'.

Uses other language

The remainder of respondents who do use a language other than English at home are asked, 'How well does the person speak English?'. Responses to this question are captured automatically from mark box responses on the form so the risk of processing error is minimal. Respondents are asked only to mark one response. These responses are output in categories 2 to 5. Where an incorrect number of responses is provided, responses are accepted in the order they appeared on the form and the extra responses are rejected.

Not Stated

Where a respondent marks that they do use a language other than English at home but does not answer the 'How well does the person speak English?' question, they are coded to category &, 'Not stated - language (LANP) stated, proficiency in spoken English not stated'. 

Where a respondent does not answer the Language used at home question and the proficiency in spoken English question, they are coded to category 6, 'Not stated - both language (LANP) and proficiency in spoken English not stated'.

History and changes

A question relating to proficiency in spoken English/Language (ENGLP) was first asked in 1981. Prior to this, some censuses had also asked what languages were regularly used.

For 2021, the variable name changed from 'Proficiency in spoken English/language' to 'Proficiency in spoken English'.

For 2021, some category labels have been updated:

  • Categories 2 to 5 changed from 'Speaks other languages and speaks English' to 'Uses other language and speaks English'
  • Not stated categories 6 and & have had references to 'ENGP' removed.

Data use considerations

This variable is used to understand how well people can speak English, when they use a language at home that is not English. It is useful in planning and providing multilingual services.

The non-response rate for Proficiency in spoken English (ENGLP) was 5.5% in 2021. This is a decrease from 6.5% in 2016. The non-response rate for Proficiency in spoken English (ENGLP) includes Not Stated responses where:

  • both Language (LANP) and proficiency in spoken English is not stated (category 6)
  • where Language (LANP) is stated and proficiency in spoken English not stated (category &). 
2016 variables

In 2016 there were two output variables relating to proficiency in spoken English:

  • Proficiency in spoken English (ENGP)
  • Proficiency in spoken English/Language (ENGLP)

The ENGP variable was only applicable to those who used a language other than English or who did not state a language, whereas ENGLP was applicable to all persons. This difference caused confusion for users.

ENGP has been removed for the 2021 Census to avoid data misuse. ENGLP will be output for 2021, however the name of the variable has been changed to 'Proficiency in spoken English'.

Measurement issues

Responses to the question on proficiency in English are subjective. For example, one respondent may consider that a response of 'Well' is appropriate if they can communicate well enough to do the shopping, while another respondent may consider such a response appropriate only for people who can hold a social conversation. Proficiency in spoken English should be regarded as an indicator of a person's ability to speak English rather than a definitive measure of their ability and should be interpreted with care.

Related variables and glossary terms

  • Language Spoken at Home (LANP)

Language used at home (LANP)

Definition

This variable identifies whether a person uses a language other than English at home and if so, records the main non-English language which is used. The purpose of this variable is to identify the main languages other than English which are used in households across Australia.

Scope

All persons

Categories

Language used at home (LANP) is classified using the Australian Standard Classification of Languages (ASCL), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page.

1 Northern European Languages

2 Southern European Languages

3 Eastern European Languages

4 Southwest and Central Asian Languages

5 Southern Asian Languages

6 Southeast Asian Languages

7 Eastern Asian Languages

8 Australian Indigenous Languages

9 Other Languages

 Supplementary codes 

Number of categories:

  • One digit level: 12
  • Two digit level: 63
  • Three digit level: 63
  • Four digit level: 505

See Understanding supplementary codes for more information.

Question(s) from the Census form

Does the person use a language other than English at home?

How this variable is created

This variable is created from responses to the language used at home question. Respondents may either use a mark box to indicate the language used at home or write the name of the language in the text field. When a person marks more than one language or marks a language and gives a text response, responses are accepted in the order they appeared on the form and the extra response is rejected.

The majority of responses for LANP are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they could not be coded or derived automatically.

If a response is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

A question relating to languages spoken was first asked in the 1933 Census, but not again until the 1976 Census. All Censuses since then have included a similar question.

In 1933, the question asked people who could not read and write in English but were able to read and write in a foreign language, to state that language. In 1976, people were asked for all languages spoken. In 1981 and 1986, all people were asked if they spoke a language other than English at home and, if so, how well they spoke English. In addition to this, since 1991 people have been asked to name their non-English language.

In the 2021 Census, the question wording was amended to include the word 'use' rather than 'speak' to better accommodate members of the community who use sign language. 

The response category order has changed based on the most common answers from the 2016 Census:

  • 'Yes, Italian' changed from 3rd to 6th position
  • 'Yes, Arabic' changed from 4th to 3rd position
  • 'Yes, Cantonese' changed from 5th to 4th position
  • 'Yes, Greek' changed from 6th to 7th position
  • 'Yes, Vietnamese' changed from 7th to 5th position

An enhancement to the online form presented a check box for Aboriginal and/or Torres Strait Islander language for those respondents who identified as Aboriginal and/or Torres Strait Islander in the Indigenous status question. To improve the data collected on Aboriginal and Torres Strait Islander languages, the person also had the option of specifying the language.

Data use considerations

This question only allows for one answer and therefore the number of responses shown in the category '1201 English' is not all persons who use English, but specifically persons who use only English at home.

Persons who report a language other than English to the 'language used at home' question are then asked 'How well does the person speak English?'. Responses to this question are coded to the variable Proficiency in spoken English (ENGLP).

The non-response rate for Language used at home (LANP) was 5.7% in 2021. This is a decrease from 6.5% in 2016.

Related variables and glossary terms

  • Proficiency in spoken English (ENGLP)
  • Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP)
  • Indigenous Status (INGP)
  • Ethnicity

Data downloads

Language used at home classification

Religious affiliation (RELP)

Definition

This variable records a person's religious affiliation. Answering this Census question is optional.

Scope

All persons

Categories

ASCRG major review 

The categories using the ASCRG are listed in groups below. The full list is available from the Data downloads on this page.

1 Buddhism

2 Christianity

3 Hinduism

4 Islam

5 Judaism

6 Other Religions

7 Secular Beliefs and Other Spiritual Beliefs and No Religious Affiliation

Supplementary Codes

Number of categories:

  • One digit level: 10
  • Two digit/three digit level: 38
  • Four digit level: 151

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person's religion?

How this variable is created

This variable is created from responses to the religious affiliation question, which are coded to the ASCRG.

Respondents could use one of the mark boxes to indicate their religious affiliation or write the name of their religion in the text field. The question includes the 10 most common responses from the 2016 Census as mark boxes, as well as a write in text box. 

Responses are coded accordingly:

  • Most responses are captured automatically from a mark box response.
  • Written responses are coded using a combination of automatic reading and coding processes.
  • Remaining responses require manual coding processes when they could not be coded or derived automatically.
  • When more than one religion or a mark box religion and a text response is recorded, the responses are accepted in the order they appear on the form and the extra response is rejected.
  • If a religion is not listed in the classification, it is coded to 'Inadequately described'.

History and changes

A question on religion has been included in all Australian censuses since 1911. Answering this question has always been optional, the very nature of which is provided for in legislation.

The ASCRG was first published in 1996 and has been used to code religious affiliation for all Australian censuses since. Throughout this time, the classification has evolved to reflect the diverse religious affiliations identified amongst Australia’s population.

From 1991 to 2011 the 'No religion' response category was the last response option. For 2016, a change was made to the question format, moving this category to the first response option. This change was made following the 2016 Census topic review process, where many submissions recommended changes to the Religious affiliation question. 'No religion' was again the first response option in 2021.

For 2021, the response category order has been updated based on the most common responses in the 2016 Census:

  • 'Presbyterian' moved from 5th to 7th position
  • 'Islam' moved from 7th to 5th position
  • 'Greek Orthodox' moved from 8th to 9th position
  • 'Baptist' moved from 9th to 10th position
  • 'Hinduism' moved from 10th to 8th position.

Changes have also been made to the 'other' examples given in the question instructions.

Data use considerations

The Census question is intended to measure religious affiliation, which may be different from a person's practice of or participation in a religious activity. It allows people to respond with secular or spiritual beliefs and to indicate if they have no religious affiliation at all.

Data on religious affiliation is used for:

  • planning the location of educational facilities, aged care and other social services provided by religion-based organisations
  • planning the location of church buildings
  • the assigning of chaplains to hospitals, prisons, armed services, and universities
  • the allocation of time on public radio and other media
  • sociological research.

The non-response rate for Religious affiliation (RELP) was 6.9% in 2021. This is a decrease from 9.1% in 2016.

Related variable and glossary terms

Data downloads

Religious affiliation classification

Year of arrival in Australia (YARP)

Definition

This variable is applicable to persons born overseas and records the year they first arrived in Australia to live for one year or more.

See also, Year of arrival in Australia (ranges) (YARRP).

Scope

Persons born overseas who will be in Australia for more than one year

Categories

Code Category
1905 - 2021 1905 to 2021 singly
&&&& Not stated
@@@@ Not applicable
VVVV Overseas visitor

Number of categories: 120

Not applicable (@@@@) category comprises:

  • Persons who did not state their country of birth
  • Persons born in Australia (includes Other Territories)

See Understanding supplementary codes for more information.

Question(s) from the Census form

In which country was the person born?

In what year did the person first arrive in Australia to live for one year or more?

How this variable is created

The Country of birth of person (BPLP) variable is used to determine if a person was born in Australia or overseas. Australia refers to the geographical Australia defined in the Australian Statistical Geography Standard (ASGS).

Data for this variable is captured automatically from written numeric responses, or the 'Will be in Australia less than one year' mark box. High and low values are checked manually to ensure that they match the actual response on the form. A check is made to ensure that a person's stated age is compatible with period of residence.

If a respondent answers they:

  • Usually reside in another country, they are coded to 'Overseas visitor'
  • Were born overseas and usually reside in Australia but will be in Australia for less than one year, they are coded to 'Not stated'
  • Were born in Australia, they are coded to 'Not applicable'

History and changes

A question on year of arrival in Australia, or length of residence, was first asked in the 1911 Census and has been asked in every Census since.

In censuses prior to 1991, the question was asked in terms of number of completed years of residence in Australia.

In 1996, data was collected in categories ranging from 'Before 1981' to '1996'.

From 2001 onwards, data was collected by single year with valid responses in 2011 being in the range 1895 to 2011. For 2016, data was collected by single year with valid responses in the range 1900 to 2016.

For 2021, data is collected by single year with valid responses in the range of 1905 to 2021.

Data use considerations

When this variable is cross-classified with other Census data, it is useful for analysing how the characteristics of migrants change with their length of time in Australia. 

Data is available in years singly from 1905 to 2021 (YARP), with 2021 referring to the period from 1 January to 10 August 2021 only.

A check is performed to ensure that a person's stated age is compatible with their period of residence.

The non-response rate for Year of arrival in Australia (YARP) was 2.4% in 2021. This is a decrease from 3.5% in 2016. Where an applicable person has not provided a year of arrival, but has marked the 'Will be in Australia less than one year' mark box, this response is set to not stated.

Related variables and glossary terms

  • Country of birth of person (BPLP)
  • Year of arrival in Australia (ranges) (YARRP)
  • Ethnicity

Year of arrival in Australia (ranges) (YARRP)

Definition

This variable is applicable to persons born overseas and records the year in ranges when they first arrived in Australia to live for one year or more.

See also, Year of Arrival in Australia (YARP).

Scope

Persons born overseas who will be in Australia for more than one year

Categories

Code Category
1 Arrived 1905 - 1950
2 Arrived 1951 - 1960
3 Arrived 1961 - 1970
4 Arrived 1971 - 1980
5 Arrived 1981 - 1990
6 Arrived 1991 - 2000
7 Arrived 2001 - 2010
8 Arrived 2011 - 2020
9 Arrived 1 January 2021 - 10 August 2021
& Not stated
@ Not applicable
V Overseas visitor

 Number of categories: 12

Not applicable (@) category comprises:

  • Persons who did not state their country of birth
  • Persons born in Australia (includes Other Territories)

See Understanding supplementary codes for more information.

Question(s) from the Census form

In which country was the person born?

In what year did the person first arrive in Australia to live for one year or more?

How this variable is created

The Country of birth of person (BPLP) variable is used to determine if a person was born in Australia or overseas. Australia refers to the geographical Australia defined in the Australian Statistical Geography Standard (ASGS).

Data for this variable is captured automatically from written numeric responses, or the 'Will be in Australia less than one year' mark box. High and low values are checked manually to ensure that they match the actual response on the form. A check is made to ensure that a person's stated age is compatible with period of residence.

If a respondent answers they:

  • Usually reside in another country, they are coded to 'Overseas visitor'
  • Were born overseas and usually reside in Australia but will be in Australia for less than one year, they are coded to 'Not stated'
  • Were born in Australia, they are coded to 'Not applicable'.

History and changes

A question on year of arrival in Australia, or length of residence, was first asked in the 1911 Census and has been asked in every Census since.

In censuses prior to 1991, the question was asked in terms of number of completed years of residence in Australia.

In 1996, data was collected in categories ranging from 'Before 1981' to '1996'.

From 2001 onwards, data was collected by single year with valid responses in 2011 being in the range 1895 to 2011. For 2016, data was collected by single year with valid responses in the range 1900 to 2016.

For 2021, the year ranges for Year of arrival (YARRP) have been updated.

Data use considerations

There are no known data use considerations at this time.

This variable is derived from Year of arrival in Australia (YARP). The non-response rate for Year of arrival in Australia (YARP) was 2.4% in 2021. This is a decrease from 3.5% in 2016. Where an applicable person has not provided a year of arrival, but has marked the 'Will be in Australia less than one year' mark box, this response is set to not stated.

Related variables and glossary terms

Disability and carers

Mnemonic  Variable  Release  
ASSNP Core activity need for assistance June 2022
UNCAREP Unpaid assistance to a person with a disability, health condition, or due to old age June 2022

Core activity need for assistance (ASSNP)

Definition

This variable records the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of:

  • a long-term health condition (lasting six months or more)
  • a disability (lasting six months or more)
  • old age

Scope

All persons

Categories

Code Category
1 Has need for assistance with core activities
2 Does not have need for assistance with core activities
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Does the person ever need someone to help with, or be with them for, self-care activities?

Does the person ever need someone to help with, or be with them for, body movement activities?

Does the person ever need someone to help with, or be with them for, communication activities?

What are the reasons for the need for assistance or supervision shown in Questions 24, 25 and 26?

How this variable is created

The Census uses a set of four questions (paper form questions 24-27) to derive ‘core activity need for assistance’. Responses to the questions are captured automatically from mark box responses.

To determine if a person’s need for assistance in one or more of the three core activity areas is due to a long-term health condition, disability or old age, the question on the Census form asks, ‘What are the reasons for the need for assistance or supervision?’.

To be coded to the category ‘Has need for assistance with core activities’, the response needs to be one or more of the following:

  • Long-term health condition (lasting six months or more)
  • Disability (lasting six months or more)

To be coded to the category ‘Does not have need for assistance with core activities’, the response needs to be one or more of the following:

  • No need for assistance
  • Short-term health condition (lasting less than six months)
  • Difficulty with English language
  • Other cause

If a person’s only response is ‘Old or young age’, they are coded as follows:

  • If under 40 years of age – ‘Does not have need for assistance with core activities’
  • If 40 years or over – ‘Has need for assistance with core activities’

History and changes

The Census ‘Core activity need for assistance’ concept was developed for the 2006 Census to indicate the disability status of people in Australia according to geographic area, and for small groups within the population.

No changes have been made for 2021.

Data use considerations

This variable helps service providers and governments plan what local facilities, services and support are required, such as in-home support, respite care and support to carers.

Of all ABS collections of disability data, only the Survey of Disability, Ageing and Carers (SDAC) is considered to comprehensively measure disability populations, and to provide rates of prevalence at the national and state levels.  The Census concept ‘Core activity need for assistance’ is related to the ‘disability status’ information collected in the SDAC.  The purpose of the Census is to identify people with a ‘profound or severe core activity limitation’ using similar criteria to the SDAC.

Users wanting more comprehensive information about the disability status of people in Australia should instead refer to the publication Disability, Ageing and Carers, Australia: Summary of Findings, 2018. Despite the conceptual consistency of the measures in the Census and SDAC, abbreviating the set of questions used to collect data on disability, as required for the Census, reduces the number of people who can be classified as having a disability or to a particular level of disability, depending on the concept being collected. The publication, ABS Sources of Disability Information, 2012-2016 examines the different ABS sources of disability data. 

The non-response rate for Core activity need for assistance (ASSNP) was 5.9% in 2021. This is a decrease from 7.1% in 2016. 

Related variables and glossary terms

Unpaid assistance to a person with a disability, health condition, or due to old age (UNCAREP)

Definition

This variable records the number of people who in the two weeks prior to Census Night spent time providing unpaid care, help or assistance to family members or others because of:

  • a disability
  • a long-term health condition
  • problems related to old age 

This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include care provided through a voluntary organisation or group. Occasional help or assistance, such as shopping, is included if the person needs this type of assistance because of their condition.

Scope

Persons aged 15 years and over

Categories

Code Category
1 No unpaid assistance provided
2 Provided unpaid assistance
& Not stated
@ Not applicable
V Overseas visitor

Number of categories: 5

Not applicable (@) category comprises:

  • persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the last two weeks did the person spend time providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition, or problems related to old age?

How this variable is created

The responses to the unpaid assistance to a person with a disability, health condition or due to old age question are captured automatically from the mark box responses on the Census form.

History and changes

Questions on unpaid work and care, including ‘Unpaid assistance to a person with a disability’, were first asked for the 2006 Census.

In 2021, the name of the variable changed from ‘Unpaid assistance to a person with a disability’ to ‘Unpaid assistance to a person with a disability, health condition, or due to old age’.

Data use considerations

The question asked about care or assistance provided to another person to assist with daily activities because of disability, long-term illness, or problems related to old age in the two weeks prior to the Census. No information on the amount of time spent on providing such unpaid care was collected. Further to the instructions in the question, the online form prompted respondents to include activities such as (but not limited to):

  • bathing
  • dressing
  • toileting and feeding someone
  • helping someone to move around
  • helping someone be understood by others
  • providing emotional support and helping maintain friendships and social activities
  • helping with or supervising medication or dressing wounds
  • cleaning
  • laundry
  • cooking
  • managing diets and preparing meals
  • performing housework
  • light household repairs or maintenance
  • managing household finances
  • driving or accompanying someone to appointments or activities

Care should be taken when comparing Census data on ‘Unpaid assistance to a person with a disability, health condition, or due to old age’ with information from other surveys and publications. The Survey of Disability, Ageing and Carers collects information on the number of carers and their characteristics. Definitions and methodology can differ between different statistical collections and may not match Census definitions.

The name of this variable changed in 2021, however the scope and content remains the same. If using time series data, the variable was previously called ‘Unpaid assistance to a person with a disability’.

The non-response rate for Unpaid assistance to a person with a disability, health condition, or due to old age (UNCAREP) was 6.7% in 2021. This is a decrease from 8.9% in 2016. 

Related variables and glossary terms

Education and training

Mnemonic  Variable Release  
EETP Engagement in employment, education and training October 2022
HEAP Level of highest educational attainment October 2022
HSCP Highest year of school completed June 2022
QALFP Non-school qualification: field of study October 2022
QALLP Non-school qualification: level of education October 2022
STUP Full-time/part-time student status June 2022
TYPP Type of educational institution attending June 2022
TYSTAP Educational institution: attendee status June 2022

Engagement in employment, education and training (EETP)

Definition

This variable indicates whether a person is engaged or not engaged in work and/or study. Data can be used to better understand groups of interest, such as youth, or people approaching retirement age, by analysing by age cohorts.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Fully engaged
11 Fully engaged - Engaged through full-time study and full-time employment
12 Fully engaged - Primarily engaged through full-time study
13 Fully engaged - Primarily engaged through full-time employment
14 Fully engaged - Engaged through part-time study and part-time employment
15 Fully engaged - Engaged other
2 Partially engaged
21 Partially engaged - Engaged in part-time study only
22 Partially engaged - Engaged in part-time work only
3 At least partially engaged
31 At least partially engaged
4 Not engaged
41 Not engaged
& Engagement status undetermined/not stated
&& Engagement status undetermined/not stated
@ Not applicable
@@ Not applicable
V Overseas visitor
VV Overseas visitor

Number of categories:

  • One digit: 7
  • Two digit: 12

Not applicable (@@) comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s date of birth and age?

Is the person attending a school or other education institution?

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business

Last week, how many hours did the person work in all jobs?

Did the person actively look for work at any time in the last four weeks?

If the person had found a job, could the person have started work last week?

How this variable is created

Data is derived from the following variables:

  • Labour force status and hours worked not stated (LFHRP)
  • Full-time/part-time student status (STUP)
  • Age (AGEP)

The variables are cross tabulated to identify the type of engagement in work and/or study. Further information is shown in the matrix in the Data downloads section below. 

History and changes

This variable was first reported in 2016.

In 2021, the categories have been expanded to provide a more detailed breakdown for 'fully engaged' and 'partially engaged'. This is required for several national reporting measures and allows for more complex analysis.

Data use considerations

For the 2006 and 2011 Censuses, data for this variable can be derived based on existing data items.

People are included in the variable categories according to the criteria below:

Engagement in Employment, Education and Training categories People included in this category

Fully engaged

People engaged in full-time work or study

People engaged in both work and study (regardless of hours for each)

Partially engaged

People employed or studying part-time (and not engaged in both work and study)

Examples:

  • Employed part-time and not attending an educational institution
  • Studying part-time and either unemployed or not in the labour force

At least partially engaged

People engaged in study or in the labour force, but did not provide enough information to determine if they were fully or partially engaged.

Example:

  • Person who was studying part-time but who did not state their labour force status

Not engaged

People who are unemployed or not in the labour force (and not attending an educational institution)

Engagement status undetermined/Not stated

People who did not state their student status and who were either unemployed or not in the labour force.

This category also includes persons who were non-responding (not stated) for both their student status and their labour force status

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Age (AGEP)
  • Labour force status (LFSP)
  • Labour force status and hours worked not stated (LFHRP)
  • Hours worked (HRSP)
  • Full-time/part-time student status (STUP)

Downloads

National reporting indicators 2021

Level of highest educational attainment (HEAP)

Definition

This variable records a single measure of a person’s overall highest level of educational attainment, whether it be a school or non-school qualification. It helps to build a picture of educational attainment and qualifications across Australia and can be used to:

  • compare with data collected in previous Censuses to help understand the changes of educational achievement in Australia over time
  • determine the general level of educational achievement of the Australian population and of specific groups in Australian society
  • investigate the relationship between levels of education and employment outcomes, income and other socioeconomic variables.

Scope

Persons aged 15 years and over

Categories

Categories for Level of highest educational attainment (HEAP)

Question(s) from the Census form

What is the highest year of primary or secondary school the person has completed?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

What is the main field of study for the person’s highest qualification completed?

How this variable is created

Level of highest educational attainment (HEAP) is derived using a combination of two variables:

  • Highest year of school completed (HSCP)
  • Non-school qualification: level of education (QALLP)

These variables are sourced from the Census questions.

The derivation process determines which of the 'non-school' and 'school' attainments will be regarded as the highest. Usually the higher-ranking attainment is self-evident, but in some cases Secondary education is regarded as higher than some Certificate level attainments. The following decision table describes how Certificate levels and Highest year of school completed are coded.

Table 1. Derivation of level of Highest educational attainment decision table
Highest year of school completed (HSCP) Certificate nfd*
(500)
Certificate III & IV nfd*
(510)
Certificate IV
(511)
Certificate III
(514)
Certificate I & II nfd*
(520)
Certificate II
(521)
Certificate I (524) Level of education inadequately described
(011)
Level of education
not stated
(&&&)

Year 12 (1)

Inadequately described

Certificate III & IV, nfd

Certificate IV

Certificate III

Year 12

Year 12

Year 12

Inadequately described

Not stated

Year 11 (2)

Inadequately described

Certificate III & IV, nfd

Certificate IV

Certificate III

Year 11

Year 11

Year 11

Inadequately described

Not stated

Year 10 (3)

Inadequately described

Certificate III & IV, nfd

Certificate IV

Certificate III

Year 10

Year 10

Year 10

Inadequately described

Not stated

Year 9 (4)

Inadequately described

Certificate III & IV, nfd

Certificate IV

Certificate III

Certificate I & II nfd

Certificate II

Certificate I

Inadequately described

Not stated

Year 8 or below (5)

Inadequately described

Certificate III & IV, nfd

Certificate IV

Certificate III

Certificate I & II nfd

Certificate II

Certificate I

Inadequately described

Not stated

Did not go to school (6)

Inadequately described

Certificate III & IV, nfd

Certificate IV

Certificate III

Certificate I & II nfd

Certificate II

Certificate I

Inadequately described

Not stated

Not stated (&)

Not stated

Certificate III & IV, nfd

Certificate IV

Certificate III

Not stated

Not stated

Not stated

Not stated

Not stated

Note: the number in brackets refer to the classification code used for Highest year of school completed (HSCP) and Non-school qualification: level of education (QALLP).

*nfd: not further defined

History and changes

While questions regarding educational qualifications in general have been asked for every Census since 1911, Level of highest educational attainment, which combines measures of school and non-school education, was first reported in 2006.

In 2011, people in the following categories were assigned a Level of highest educational attainment the same as their highest year of school completed:

  • Highest Year of School Completed of Year 8 or below to Year 12
  • Certificate not further defined

In 2016, people with ‘Highest Year of School Completed of Year 8 or below to Year 12’ and a ‘Certificate not further defined’ were assigned a Level of highest educational attainment as 'Inadequately described'.

For 2021, Undergraduate certificates are a new qualification and will be coded to category '420 Diploma level, nfd'. In previous Censuses, nothing has been coded to this category. See also Non-school qualification: level of education (QALLP).

Data use considerations

This variable can be used to provide data on Target 6 for the National Agreement for Closing the Gap.

  • By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-34 years who have completed a tertiary qualification (Certificate III and above) to 70 per cent.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Highest year of school completed (HSCP)

Definition

This variable records the highest level of primary or secondary schooling completed. The data is used to help build a picture of the education levels attained in each area of Australia and to assist in the planning of educational facilities.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Year 12 or equivalent
2 Year 11 or equivalent
3 Year 10 or equivalent
4 Year 9 or equivalent
5 Year 8 or below
6 Did not go to school
& Not stated
@ Not applicable
V Overseas visitor

Coded using the Australian Standard Classification of Education (ASCED), 2001.

Number of categories: 9

Not applicable (@) category comprises:

  • Persons aged under 15 years

See the Glossary for further information about the meaning of ‘or equivalent level of education’.

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the highest year of primary or secondary school the person has completed?

How this variable is created

This variable is sourced directly from the highest year of primary or secondary school question on the Census form. The responses are captured automatically from mark box responses. Respondents are asked to only mark one response. Where respondents provided more than one response, the responses are accepted in the order they appear on the form and extra responses are rejected.

History and changes

The question relating to Highest year of school completed where respondents reported their highest level of educational attainment was first asked in the 1911 Census. In 2016 some minor adjustment to the wording of the question instructions was made for the purposes of clarity.

No changes have been made for 2021.

Data use considerations

The 'Still at school' category has been excluded from the classification since 2006. It allowed the level of highest educational attainment to be determined for people still at school. From 2006 onwards, those still studying at school and the year level they are currently in can be identified by cross-classifying Highest year of school completed (HSCP) and Type of educational institution attending (TYPP). Full-time/part-time student status (STUP) may also be used.

The non-response rate for Highest year of school completed (HSCP) was 6.6% in 2021. This is a decrease from 8.6% in 2016. 

Related variables and glossary terms

  • Type of educational institution attending (TYPP)
  • Full-time/part-time student status (STUP)
  • Level of highest educational attainment (HEAP)
  • Attainment of Year 12 or Certificate II or higher (YR12C2P)
  • Attainment of Year 12 or Certificate III or higher (YR12C3P)

Non-school qualification: field of study (QALFP)

Definition

This variable describes the field of study of a person’s highest completed non-school qualification. Qualifications data is used to:

  • help build a picture of the different non-school qualifications undertaken in Australia and how this has changed over time
  • assess the skill level of the labour force, and potential labour force
  • understand the characteristics of Australia’s workforce when compared with occupation and industry of employment.

Scope

Persons aged 15 years and over who stated a completed qualification

Categories

Non-school qualification: field of study (QALFP) is coded using the Australian Standard Classification of Education (ASCED), 2001. The categories are listed in groups below. The full list is available from the Data downloads on this page.

01 Natural and Physical Sciences

02 Information Technology

03 Engineering and Related Technologies

04 Architecture and Building

05 Agriculture, Environmental and Related Studies

06 Health

07 Education

08 Management and Commerce

09 Society and Culture

10 Creative Arts

11 Food, Hospitality and Personal Services

12 Mixed Field Programmes

Supplementary codes

Number of categories:

  • Two digit: 16
  • Four digit: 87
  • Six digit: 435

Not applicable (@@@@@@) comprises:

  • Persons who have a qualification that is out of scope of this classification
  • Persons with no qualifications
  • Persons still studying for a first qualification
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the highest year of primary or secondary school the person has completed?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

What is the main field of study for the person’s highest qualification completed?

Did the person complete this qualification before 1998?

How this variable is created

Non-school qualification: field of study (QALFP) is mainly coded based on written responses for qualification level and qualification field questions. The following questions may also be used:

  • Highest year of primary or secondary school completed
  • Qualification indicator (question asking whether person has completed any educational qualification)
  • Whether the qualification was completed before 1998

History and changes

The question on main field of study was first asked in the 1971 Census and has been asked in every Census since then.

In 2001, the Australian Standard Classification of Education (ASCED) replaced the ABS Classification of Qualifications (ABSCQ).

In the 2006 Census, the year completed question was reworded to ask if the qualification was obtained before 1998 or from 1998 onward, with 1998 being the year the Australian Qualifications Framework (AQF) was introduced. The distinction between certificates awarded pre-1998 and from 1998 onward is also used to assist in coding some certificates to finer levels of the ASCED classification.

In 2021, minor instructional text changes to the main field of study question have been made to provide guidance for people with double degrees. The field examples were updated based on prevalence in the 2016 Census and selected to include fields found at the VET and University levels.

Data use considerations

When using this variable, the directly applicable population (i.e. those who answered 'Yes' to the Qualifications indicator question) is not identifiable in the output data set. This is because those who answered 'Yes, other qualification' to the Qualifications indicator question, and then subsequently did not provide a response to the question on main field of highest qualification, are coded to 'not stated' in this variable. Therefore, this variable cannot be used as a count of people who hold a qualification.

The non-response rate for Non-school qualification: field of study (QALFP) was 12.3% in 2021. This is a decrease from 15.1% in 2016.

A large component of non-response for this variable is due to people not answering the Qualification Indicator question and the Non-school qualification: field of study questions. People may have: 

  • not seen the question relevant to themselves, and did not respond 
  • been imputed into occupied dwellings where no form had been returned.

It may not be appropriate to consider these groups of non-respondents when calculating non-response for the directly applicable population.

When Non-school qualification: field of study (QALFP) is analysed in conjunction with a 'Yes' response to the Qualifications Indicator question, the non-response rate was 2.3% in 2021. This is an increase from 2.0% in 2016.

Related variables and glossary terms

  • Full-time/part-time student status (STUP)
  • Non-school qualification: level of education (QALLP)
  • Highest year of school completed (HSCP)

Data downloads

Non-school qualification: field of study classification

Non-school qualification: level of education (QALLP)

Definition

This variable describes the level of a person’s highest completed non-school qualification. Non-school qualifications are educational attainments other than those of a pre-primary, primary or secondary education level. This information about education will help to:

  • build a picture of educational levels in each area of Australia
  • show how different groups of people take part in education
  • help to plan education services in different areas.

Scope

Persons aged 15 years and over who stated a completed qualification

Categories

Non-school qualification: level of education (QALLP) is coded using the Australian Standard Classification of Education (ASCED), 2001, Level of Education Classification.

Categories for Non-school qualification: level of education (QALLP)

Question(s) from the Census form

What is the highest year of primary or secondary school the person has completed?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

What is the main field of study for the person’s highest qualification completed?

Did the person complete this qualification before 1998?

How this variable is created

This variable is mainly coded based on written responses for qualification level and qualification field questions. The following questions may also be used:

  • Highest year of primary or secondary school completed
  • Qualification indicator (question asking whether a person has completed any educational qualification)
  • Whether the qualification was completed before 1998 

History and changes

A question relating to level of education was first asked in the 1911 Census and has been asked in every Census since then. In many Censuses, school and non-school qualification were not necessarily separate questions.

In 2001, the Australian Standard Classification of Education (ASCED) replaced the ABS Classification of Qualifications (ABSCQ).

In the 2006 Census, the year completed question was reworded to ask if the qualification was obtained before 1998 or from 1998 onward, with 1998 being the year the Australian Qualifications Framework (AQF) was introduced. The distinction between certificates awarded pre-1998 and from 1998 onward is also used to assist in coding some certificates to finer levels of the ASCED classification.

In 2021, a new qualification called Undergraduate certificates will be coded to ‘420 Diploma Level, nfd’.

Data use considerations

When using this variable, the directly applicable population (i.e. those who answered 'Yes' to the Qualifications indicator question) is not identifiable in the output data set. This is because those who answered 'Yes, other qualification' to the Qualifications indicator question, and then subsequently did not provide a response to the question on level of highest qualification, are coded to 'not stated' in this variable. Therefore, this variable cannot be used as a count of people who hold a qualification.

The non-response rate for Non-school qualification: level of education (QALLP) was 12.4% in 2021. This is a decrease from 16.0% in 2016.

A large component of non-response for this variable is due to people not answering the Qualification Indicator question and the Non-school qualification: level of education questions. People may have: 

  • not seen the question relevant to themselves, and did not respond 
  • been imputed into occupied dwellings where no form had been returned.

It may not be appropriate to consider these groups of non-respondents when calculating non-response for the directly applicable population.

When Non-school qualification: level of education (QALLP) is analysed in conjunction with a 'Yes' response to the Qualifications Indicator question, the non-response rate was 2.3% in 2021. This is a decrease from 2.8% in 2016.

Related variables and glossary terms

  • Non-school qualification: field of study (QALFP)
  • Level of highest educational attainment (HEAP)
  • Highest year of school completed (HSCP)
  • Attainment of year 12 or certificate II or higher (YR12C2P)
  • Attainment of year 12 or certificate III or higher (YR12C3P)
  • Attainment of certificate III or higher or working towards a non-school qualification (C3SP)
  • With or working towards a non-school qualification (WTNSQP)
  • Or equivalent level of education

Full-time/part-time student status (STUP)

Definition

This variable describes the full-time or part-time status of students.

Scope

All persons

Categories

Code Category
1 Not attending
2 Full-time student
3 Part-time student
4 Institution (TYPP) stated, full-time/part-time status (STUP) not stated
& Both not stated - both institution (TYPP) and full-time/part-time status (STUP) not stated
V Overseas visitor

Number of categories: 6

See Understanding supplementary codes for more information.

Question(s) from the Census form

Is the person attending a school or other education institution?

How this variable is created

This variable is collected from a mark box response to the Full-time/part-time student status question on the Census form. Respondents are asked to mark only one response. In cases where respondents mark more than one response, they are accepted in the order they appear on the form and the extra responses are rejected.

History and changes

A question on current type of attendance at school or other educational institution has been asked since 1976. The categories for Full-time/part-time student status (STUP) were revised for 2011.

For 2021, minor changes were made to the question wording and instructional text to improve clarity. In addition, to emphasise that respondents should include attendance at preschool, the question wording in the online form has changed for people in the household aged six and under. The question asks ‘Is the person attending a preschool, school or other education institution?’.

For 2021, a question instruction was added to the online form to provide guidance to people in COVID-19 affected areas on Census day.

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Full-time/part-time student status (STUP) was 5.6% in 2021. This is a decrease from 6.8% in 2016.

The non-response rates for this variable include 0.1% of respondents (0.2% in 2016) who did not indicate whether they were students at the Full-time/part-time student status question (question 29 on the Census Household form) but went on to state the type of educational institution attended at the next question, Type of of educational institution attending (TYPP)

Related variables and glossary terms

  • Type of educational institution attending (TYPP)
  • Educational institution: attendee status (TYSTAP)
  • Engagement in employment, education and training (EETP)

Type of educational institution attending (TYPP)

Definition

This variable records the type of education institution being attended by people who are full-time or part-time students. The category covers preschool through to tertiary institutions. Information on whether a person is attending an education institution is essential for education and labour market planning. It is also used to identify dependent children in family coding.

Scope

Persons attending an education institution

Categories

Code Category
10 Preschool
21 Primary - Government
22 Primary - Catholic
23 Primary - other non-Government
29 Primary – not further defined
31 Secondary - Government
32 Secondary - Catholic
33 Secondary - other non-Government
39 Secondary – not further defined
41 Tertiary - vocational education (including TAFE and private training providers)
42 Tertiary – university or other higher education
49 Tertiary – not further defined
60 Other
&& Not stated
@@ Not applicable
VV Overseas visitor

Number of categories: 16

Not applicable (@@) category comprises:

  • Persons not attending an education institution

See Understanding supplementary codes for more information.

Question(s) from the Census form

On the online form the type of education institution attending question is split into two parts. When a respondent selects either 'Primary', 'Secondary' or 'Tertiary institution' they are presented with a second question to described the education institution in more detail. 

What type of education institution is the person attending?

How this variable is created

This variable is collected from mark box responses to the Type of education institution question on the Census form. Respondents are asked to mark only one response. In cases where respondents mark more than one response, they are accepted in the order they appear on the form and the extra responses are rejected.

History and changes

Questions relating to current education institution were first asked in the 1911 Census and have been asked at most censuses since then, though the amount of detail asked has varied.

In 2021, output categories have been changed to reflect the question wording changes:

  • 'Infants' has been removed from the Primary categories
  • 'Technical or Further Educational Institution (including TAFE Colleges)' has been changed to 'Tertiary - Vocational education (including TAFE and private training providers)'
  • 'University or other Tertiary Institution' has been changed to 'Tertiary - University or other higher education'

Primary, secondary and tertiary not further defined fields have been added (categories 29, 39, 49) as this question is in two parts on the online form. The not further defined fields will get populated when a person only answers if they are attending an institution but does not specify the type, e.g. Catholic.

To further emphasise attendance at preschool, the question relating to attendance at a school or an education institution has changed on the online form. For people in the household aged six and under, the question asks, ‘Is the person attending a preschool, school or other education institution?’.

For 2021, a question instruction was added to the online form to provide guidance to people in COVID-19 affected areas on Census day. Additional instructions were also added to the Census website – see Data use considerations for more details.

Data use considerations

Lockdown

A number of regions across the country were in various stages of COVID-19 lockdowns on Census day, and the week preceding it, resulting in a greater number of students being educated from home. Guidance on how to correctly respond was provided at the time on the Census website, as follows: 

'If you or your child are currently learning from home due to COVID restrictions, please answer the questions reflecting the school or other educational institution you or your child would normally attend.'

Preschool

Users of the data on preschool attendance should be aware that some children who are in childcare may be included in the preschool figures. This has been identified as a problem with interpretation of categories by respondents. See the History and changes section for new instructions for 2021 to help resolve this misunderstanding.

The non-response rate for Type of educational institution attending (TYPP) was 0.8% in 2021. This is a decrease from 2.7% in 2016. This rate is lower than most Census variables as it is only applicable to persons who answered they are a student to the previous question (Full-Time/Part-Time Student Status).

Related variables and glossary terms

  • Full-time/part-time student status (STUP)
  • Educational institution: attendee status (TYSTAP)
  • Attainment of Certificate III or higher or working towards a non-school qualification (C3SP)
  • People with or working towards a non-school qualification (WTNSQP)
  • Derivation
  • Imputation

Educational institution: attendee status (TYSTAP)

Definition

This variable combines responses from Type of educational institution attending (TYPP), Full-time/part-time student status (STUP) and Age (AGEP) to indicate a person's attendee status at an education institution. We use this information to understand the education levels of the future workforce of Australia and whether people are taking part in employment, education, or training.

Scope

Persons attending an education institution

Categories

Code Category
10 Preschool
21 Primary - Government
22 Primary - Catholic
23 Primary - other non-Government
29 Primary - not further defined
31 Secondary - Government
32 Secondary - Catholic
33 Secondary - other non-Government
39 Secondary - not further defined
41 Tertiary - vocational education (including TAFE and private training providers): full-time student: aged 15-24 years
42 Tertiary - vocational education (including TAFE and private training providers): full-time student: aged 25 years and over
43 Tertiary - vocational education (including TAFE and private training providers): part-time student: aged 15-24 years
44 Tertiary - vocational education (including TAFE and private training providers): part-time student: aged 25 years and over
45 Tertiary - vocational education (including TAFE and private training providers): full-time/part-time student status not stated
51 Tertiary - university or other higher education: full-time student: aged 15-24 years
52 Tertiary - university or other higher education: full-time student: aged 25 years and over
53 Tertiary - university or other higher education: part-time student: aged 15-24 years
54 Tertiary - university or other higher education: part-time student: aged 25 years and over
55 Tertiary - university or other higher education: full-time/part-time student status not stated
61 Tertiary - not further defined:  full-time student: aged 15-24 years
62 Tertiary - not further defined:  full-time student:  aged 25 years and over
63 Tertiary - not further defined: part-time student: aged 15-24 years
64 Tertiary - not further defined: part-time student: aged 25 years and over
65 Tertiary - not further defined: full-time/part-time student status not stated
71 Other: full-time student
72 Other: part-time student
73 Other: full-time/part-time student status not stated
&& Type of educational institution not stated
@@ Type of educational institution not applicable
VV Overseas visitor

Number of categories: 30

Not applicable (@@) category comprises:

  • Persons not attending an education institution

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s date of birth and age?

Is the person attending a school or other education institution?

What type of education institution is the person attending?

How this variable is created

This variable is derived using responses captured from the questions for Type of education institution attending, Full-time/part-time student status and the Age indicated on the Census form.

History and changes

Education institution: attendee status (TYSTAP) was first created for the 2011 Census. 

In 2021 the following changes occurred:

  • Code numbers have been updated to align better with the TYPP variable.
  • Category names have been updated to reflect changes to the question wording (See TYPP).

Also for 2021, primary, secondary and tertiary not further defined fields have been added (categories 29, 39, 61-65) as this question is in two parts on the online form. The not further defined fields will get populated when a person only answers if they are attending an institution but does not specify the type, e.g. Secondary - Catholic.

Data use considerations

There are no data use considerations for this variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Age (AGEP)
  • Full-time/part-time student status (STUP)
  • Type of educational institution attending (TYPP)

Health

Mnemonic  Variable  Release  
CALTHD Count of adults (15 years and over) with selected long-term health condition(s) in household June 2022 New
CCLTHD Count of children with selected long-term health condition(s) in household June 2022 New
CLTHP Count of selected long-term health conditions June 2022 New
COARASP Whether has arthritis and asthma June 2022 New
COARDBP Whether has arthritis and diabetes June 2022 New
COARHDP Whether has arthritis and heart disease June 2022 New
COARMHP Whether has arthritis and mental health condition June 2022 New
COASHDP Whether has asthma and heart disease June 2022 New
COASLCP Whether has asthma and lung condition June 2022 New
COCNHDP Whether has cancer and heart disease June 2022 New
CODBHDP Whether has diabetes and heart disease June 2022 New
CODBKDP Whether has diabetes and kidney disease June 2022 New
COHDKDP Whether has heart disease and kidney disease June 2022 New
COHDMHP Whether has heart disease and mental health condition June 2022 New
COLCMHP Whether has lung condition and mental health condition June 2022 New
CPLTHD Count of persons with selected long-term health condition(s) in household June 2022 New
CPLTHRD Count of persons with selected long-term health condition(s) in household (ranges) June 2022 New
HARTP Whether has arthritis June 2022 New
HASTP Whether has asthma June 2022 New
HCANP Whether has cancer (including remission) June 2022 New
HDEMP Whether has dementia (including Alzheimer's) June 2022 New
HDIAP Whether has diabetes (excluding gestational diabetes) June 2022 New
HHEDP Whether has heart disease (including heart attack or angina) June 2022 New
HKIDP Whether has kidney disease June 2022 New
HLTHP Whether has one or more long-term health condition(s) June 2022 New
HLUNP Whether has lung condition (including COPD and emphysema) June 2022 New
HMHCP Whether has mental health condition (including depression or anxiety) June 2022 New
HOLHP Whether has other long-term health condition(s) June 2022 New
HSTRP Whether has had a stroke June 2022 New
LTHP Type of long-term health condition June 2022 New

Count of adults (15 years and over) with selected long-term health condition(s) in household (CALTHD)

Definition

This variable counts the number of adults aged 15 years and over in a household who reported they had at least one of the selected long-term health conditions. Selected long-term health conditions include:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke

‘Any other long-term health condition(s)’ are excluded from the count.

Scope

Occupied private dwellings

Categories

Code Category
0 No adults reported a selected long-term health condition
1 One adult reported a selected long-term health condition
2 Two adults reported a selected long-term health condition
3 Three adults reported a selected long-term health condition
4 Four adults reported a selected long-term health condition
5 Five or more adults reported a selected long-term health condition
6 Some adults in household had not stated long-term health condition
& All adults in household not stated
@ Not applicable

Number of categories: 9

Not applicable (@) comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s date of birth and age?

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and the Age (AGEP) variable. It counts the number of people aged 15 years and over in a household who have marked one of the following long-term health conditions:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer's)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke

If all people aged 15 years or over in the household did not answer the long-term health conditions question, this variable is set to ‘Not stated’.

If some people aged 15 years or over in the household did not answer the long-term health conditions question, this variable is set to category 6, ‘Some adults in household had not stated long-term health condition’.

If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 0 'No adults reported a selected long-term health condition'.

Visitor only households and other non-classifiable households are excluded. People away from the dwelling on Census Night are excluded from this variable.

History and changes

This is a new variable for 2021.

Data use considerations

Count of adults (15 years and over) with selected long-term health condition(s) in household (CALTHD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 6.3%.

Related variables and glossary terms

  • Count of children with selected long-term health condition(s) in household (CCLTHD)
  • Count of persons with selected long-term health condition(s) in household (CPLTHD)
  • Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD)
  • Relationship in household (RLHP)
  • Long-term health condition(s)

Count of children with selected long-term health condition(s) in household (CCLTHD)

Definition

This variable counts the number of children under 15 years in a household who reported they had at least one of the selected long-term health conditions. Selected long-term health conditions include:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke

‘Any other long-term health condition(s)’ are excluded from the count.

Scope

Occupied private dwellings with children

Categories

Code Category
0 No children reported a selected long-term health condition
1 One child reported a selected long-term health condition
2 Two children reported a selected long-term health condition
3 Three children reported a selected long-term health condition
4 Four children reported a selected long-term health condition
5 Five or more children reported a selected long-term health condition
6 Some children in household had a not stated long-term health condition
& All children in household not stated
@ Not applicable

Number of categories: 9

Not applicable (@) comprises:

  • Lone person households
  • Visitor only households
  • Other non-classifiable households
  • One family household: Couple family with no children
  • Two family household: Couple family with no children
  • Three or more family household: Couple family with no children
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s date of birth and age?

What is the person’s relationship to Person 1/Person 2?

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and the Age (AGEP) variable. It counts the number of people aged under 15 years in a household who have marked one of the following long-term health conditions:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke

If all people under 15 years in the household did not answer the long-term health conditions question, this variable is set to ‘Not stated’.

If some people aged under 15 years in the household did not answer the long-term health conditions question, this variable is set to category 6, ‘Some children in household had not stated long-term health condition’

If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 0 'No children reported a selected long-term health condition'.

Visitor only households, other non-classifiable households and lone person households are excluded. People away from the dwelling on Census Night are excluded from this variable.

History and changes

This is a new variable for 2021.

Data use considerations

Count of children with selected long-term health condition(s) in household (CCLTHD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 5.6%.

Related variables and glossary terms

  • Count of adults (15 years and over) with selected long-term health conditions in household (CALTHD)
  • Count of persons with selected long-term health conditions in household (CPLTHD)
  • Count of persons with selected long-term health conditions in household (ranges) (CPLTHRD)
  • Relationship in household (RLHP)
  • Long-term health condition(s)

Count of selected long-term health conditions (CLTHP)

Definition

This variable describes the number of selected long-term health conditions a person has reported. The selected long-term health conditions include:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke

‘Any other long-term health condition(s)’ are excluded from the count.

Scope

All persons

Categories

Code Category
0 None of the selected conditions
1 One condition
2 Two conditions
3 Three or more conditions
& Not stated
V Overseas visitor

Number of categories: 6 

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the Long-term health conditions question. It counts the number of selected long-term conditions a person reports.

If a person marks only ‘Any other long-term health condition(s)’ on the Census form, they are not counted as having a long-term health condition in this variable. These people are counted in category 0, 'None of the Selected Conditions'. However, if a person selects, for example, ‘Asthma’ and ‘Any other long-term health condition(s)’ on the Census form, they would be included in category 1, ‘One condition’.

People who report over three conditions are grouped together in category 3, ‘Three or more conditions’.

History and changes

This is a new variable for 2021.

Data use considerations

The count of selected long-term health condition responses, including no conditions, are not comparable to similar counts derived from other health collections such as the National Health Survey (NHS) and National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS). Different sets of selected health conditions questions are asked in these other collections. For more information, see Comparing ABS long-term health conditions data sources.

The non-response rate for Count of long-term health conditions (CLTHP) was 8.1% in 2021. 

Related variables and glossary terms

Whether has arthritis and asthma (COARASP)

Definition

This variable describes whether a person has reported having both arthritis and asthma.

Scope

All persons

Categories

Code Category
1 Has arthritis and asthma
2 Does not have arthritis and asthma
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Arthritis’ and ‘Asthma’ they are coded to '1 Has arthritis and asthma’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to '2 Does not have arthritis and asthma’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of long-term health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Survey (NATSIHS).

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has arthritis (HARTP)
  • Whether has asthma (HASTP)

Whether has arthritis and diabetes (COARDBP)

Definition

This variable describes whether a person has reported having both arthritis and diabetes (excluding gestational diabetes).

Scope

All persons

Categories

Code Category
1 Has arthritis and diabetes
2 Does not have arthritis and diabetes
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Arthritis’ and ‘Diabetes (excluding gestational diabetes)’ they are coded to category 1 'Has arthritis and diabetes’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to category 2 'Does not have arthritis and diabetes’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has arthritis (HARTP)
  • Whether has diabetes (excluding gestational diabetes) (HDIAP)

Whether has arthritis and heart disease (COARHDP)

Definition

This variable describes whether a person has reported having both arthritis and heart disease (including heart attack or angina).

Scope

All persons

Categories

Code Category
1 Has arthritis and heart disease
2 Does not have arthritis and heart disease
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

When a respondent selects ‘Arthritis’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has arthritis and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have arthritis and heart disease’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has arthritis (HARTP)
  • Whether has heart disease (including heart attack and angina) (HHEDP)

Whether has arthritis and mental health condition (COARMHP)

Definition

This variable describes whether a person has reported having both arthritis and a mental health condition (including depression and anxiety).

Scope

All persons

Categories

Code Category
1 Has arthritis and mental health condition
2 Does not have arthritis and mental health condition
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Arthritis’ and ‘Mental health condition (including depression and anxiety)’ they are coded to 1 ‘Has arthritis and mental health condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have arthritis and mental health condition’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has arthritis (HARTP)
  • Whether has mental health condition (including depression or anxiety) (HMHCP)

Whether has asthma and heart disease (COASHDP)

Definition

This variable describes whether a person has reported having both asthma and heart disease (including heart attack or angina).

Scope

All persons

Categories

Code Category
1 Has asthma and heart disease
2 Does not have asthma and heart disease
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Asthma’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has asthma and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have asthma and heart disease’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has asthma (HASTP)
  • Whether has heart disease (including heart attack or angina) (HHEDP)

Whether has asthma and lung condition (COASLCP)

Definition

This variable describes whether a person has reported having both asthma and a lung condition (including COPD or emphysema).

Scope

All persons

Categories

Code Category
1 Has asthma and lung condition
2 Does not have asthma and lung condition
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Asthma’ and ‘Lung condition (including COPD or emphysema)’ they are coded to 1 ‘Has asthma and lung condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have asthma and lung condition’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has asthma (HASTP)
  • Whether has lung condition (including COPD or emphysema) (HLUNP)

Whether has cancer and heart disease (COCNHDP)

Definition

This variable describes whether a person has reported having both cancer (including remission) and heart disease (including heart attack or angina).

Scope

All persons

Categories

Code Category
1 Has cancer and heart disease
2 Does not have cancer and heart disease
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Cancer (including remission)’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has cancer and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have cancer and heart disease’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has cancer (including remission) (HCANP)
  • Whether has heart disease (including heart attack or angina) (HHEDP)

Whether has diabetes and heart disease (CODBHDP)

Definition

This variable describes whether a person has reported having both diabetes (excluding gestational diabetes) and heart disease (including heart attack or angina).

Scope

All persons

Categories

Code Category
1 Has diabetes and heart disease
2 Does not have diabetes and heart disease
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Diabetes (excluding gestational diabetes)’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has diabetes and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have diabetes and heart disease’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has diabetes (excluding gestational diabetes) (HDIAP)
  • Whether has heart disease (including heart attack or angina) (HHEDP)

Whether has diabetes and kidney disease (CODBKDP)

Definition

This variable describes whether a person has reported having both diabetes (excluding gestational diabetes) and kidney disease.

Scope

All persons

Categories

Code Category
1 Has diabetes and kidney disease
2 Does not have diabetes and kidney disease
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Diabetes (excluding gestational diabetes)’ and ‘Kidney disease’ they are coded to 1 ‘Has diabetes and kidney disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have diabetes and kidney disease’.

If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has diabetes (excluding gestational diabetes) (HDIAP)
  • Whether has kidney disease (HKIDP)

Whether has heart disease and kidney disease (COHDKDP)

Definition

This variable describes whether a person has reported having both heart disease (including heart attack or angina) and kidney disease.

Scope

All persons

Categories

Code Category
1 Has heart disease and kidney disease
2 Does not have heart disease and kidney disease
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Heart disease (including heart attack or angina)’ and ‘Kidney disease’ they are coded to 1 ‘Has heart disease and kidney disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have heart disease and kidney disease’.

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has heart disease (including heart attack or angina) (HHEDP)
  • Whether has kidney disease (HKIDP)

Whether has heart disease and mental health condition (COHDMHP)

Definition

This variable describes whether a person has reported having both heart disease (including heart attack or angina) and a mental health condition (including depression and anxiety).

Scope

All persons

Categories

Code Category
1 Has heart disease and mental health condition
2 Does not have heart disease and mental health condition
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Heart disease (including heart attack or angina)’ and ‘Mental health condition (including depression and anxiety) they are coded to 1 ‘Has heart disease and mental health condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have heart disease and mental health condition’.

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has heart disease (including heart attack or angina) (HHEDP)
  • Whether has mental health condition (including depression or anxiety) (HMHCP)

Whether has lung condition and mental health condition (COLCMHP)

Definition

This variable describes whether a person has reported having both a lung condition (including COPD and emphysema) and a mental health condition (including depression and anxiety).

Scope

All persons

Categories

Code Category
1 Has lung condition and mental health condition
2 Does not have lung condition and mental health condition
& Not stated
V Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).

Where a respondent selects ‘Lung condition (including COPD and emphysema)’ and ‘Mental health condition (including depression and anxiety)’ they are coded to 1 ‘Has lung condition and mental health condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have lung condition and mental health condition’.

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

History and changes

This is a new variable for 2021.

Data use considerations

If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

  • Whether has lung condition (including COPD or emphysema) (HLUNP)
  • Whether has mental health condition (including depression or anxiety) (HMHCP)

Count of persons with selected long-term health condition(s) in household (CPLTHD)

Definition

This variable counts the number of people in a household who reported they had at least one of the selected long-term health conditions. Selected long-term health conditions include:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke.

‘Any other long-term health condition(s)’ are excluded from the count. 

Scope

Occupied private dwellings

Categories

Code Category
00 No persons in household reported a long-term health condition
01 One person in household reported a long-term health condition
02 Two persons in household reported a long-term health condition
03 Three persons in household reported a long-term health condition
04 Four persons in household reported a long-term health condition
05 Five persons in household reported a long-term health condition
06 Six persons in household reported a long-term health condition
07 Seven persons in household reported a long-term health condition
08 Eight persons in household reported a long-term health condition
09 Nine persons in household reported a long-term health condition
10 Ten or more persons in household reported a long-term health condition
11 Some persons in household had not stated a long-term health condition
&& All persons in household not stated
@@ Not applicable

Number of categories: 14

Not applicable (@@) comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people in a household who have marked one of the following long-term health conditions:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke.

If all people in the household did not answer the long-term health conditions question, this variable is set to ‘All persons in household not stated’.

If some people in the household did not answer the long-term health conditions question, this variable is set to category 11, ‘Some persons in household had not stated a long-term health condition’.

If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 00 'No persons in the household have a long-term health condition'.

Visitor only households and Other non-classifiable households are excluded. Persons temporarily absent are excluded from this variable.

History and changes

This is a new variable for 2021. 

Data use considerations

Count of persons with selected long-term health condition(s) in household (CPLTHD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 7.3%.

Related variables and glossary terms

  • Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD)
  • Count of adults (15 years and over) with selected long-term health conditions in household (CALTHD)
  • Count of children with selected long-term health conditions in household (CCLTHD)
  • Long-term health condition(s)

Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD)

Definition

This variable counts the number of people in a household who reported they had at least one of the selected long-term health conditions in ranges. Selected long-term health conditions include:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke.

‘Any other long-term health condition(s)’ are excluded from the count.

Scope

Occupied private dwellings

Categories

Code Category
0 No persons in household reported a long-term health condition
1 One person in household reported a long-term health condition
2 Two persons in household reported a long-term health condition
3 Three persons in household reported a long-term health condition
4 Four persons in household reported a long-term health condition
5 Five or more persons in household reported a long-term health condition
6 Some persons in household had not stated a long-term health condition
& All persons in household not stated
@ Not applicable

Number of categories: 9

Not applicable (@) comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people in a household who have marked one of the following long-term health conditions:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke.

If all people in the household did not answer the long-term health conditions question, this variable is set to ‘All persons in household not stated’.

If some people in the household did not answer the long-term health conditions question, this variable is set to category 6, ‘Some persons in household had not stated a long-term health condition’.

If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 0 'No persons in household reported a long-term health condition'.

Visitor only households and Other non-classifiable households are excluded. Persons temporarily absent are excluded from this variable.

History and changes

This is a new variable for 2021. 

Data use considerations

Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 7.3%.

Related variables and glossary terms

  • Count of persons with selected long-term health condition(s) in household (CPLTHD)
  • Count of adults (15 years and over) with selected long-term health conditions in household (CALTHD)
  • Count of children with selected long-term health conditions in household (CCLTHD)
  • Long-term health condition(s)

Whether has arthritis (HARTP)

Definition

This variable describes whether a person reported that they have arthritis.

Scope

All persons

Categories

Code Category
011 Has arthritis
012 Does not have arthritis
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Arthritis’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

The question does not distinguish between osteoarthritis and rheumatoid arthritis therefore this variable will include respondents reporting both forms of arthritis.

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has arthritis and asthma (COARASP)
  • Whether has arthritis and diabetes (COARDBP)
  • Whether has arthritis and heart disease (COARHDP)

Whether has asthma (HASTP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have asthma. This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
021 Has asthma
022 Does not have asthma
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Asthma’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has arthritis and asthma (COARASP)
  • Whether has asthma and heart disease (COASHDP)

Whether has cancer (including remission) (HCANP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have cancer. This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
031 Has cancer (including remission)
032 Does not have cancer (including remission)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Cancer (including remission)’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

Respondents may have reported both malignant and benign neoplasms (cancers) in response to this question.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has cancer and heart disease (COCNHDP)

Whether has dementia (including Alzheimer's) (HDEMP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have dementia (including Alzheimer’s). This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
041 Has dementia (including Alzheimer’s)
042 Does not have dementia (including Alzheimer's)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Dementia (including Alzheimer’s)’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)

Whether has diabetes (excluding gestational diabetes) (HDIAP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have diabetes (excluding gestational diabetes). This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
051 Has diabetes (excluding gestational diabetes)
052 Does not have diabetes (excluding gestational diabetes)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Diabetes (excluding gestational diabetes)’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

The Census Health question does not distinguish between type 1 and type 2 diabetes. Therefore, this variable will include respondents reporting both forms of diabetes.

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has arthritis and diabetes (COARDBP)
  • Whether has diabetes and heart disease (CODBHDP)
  • Whether has diabetes and kidney disease (CODBKDP)

Whether has heart disease (including heart attack or angina) (HHEDP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have heart disease (including heart attack or angina). This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
061 Has heart disease (including heart attack or angina)
062 Does not have heart disease (including heart attack or angina)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Heart disease (including heart attack or angina)’ on the Census form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has arthritis and heart disease (COARHDP)
  • Whether has asthma and heart disease (COASHDP)
  • Whether has cancer and heart disease (COCNHDP)
  • Whether has diabetes and heart disease (CODBHDP)

Whether has kidney disease (HKIDP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have kidney disease. This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
071 Has kidney disease
072 Does not have kidney disease
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Kidney disease’ on the Census form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has diabetes and kidney disease (CODBKDP)
  • Whether has heart disease and kidney disease (COHDKDP)

Whether has one or more long-term health condition(s) (HLTHP)

Definition

This variable identifies the population who has at least one long-term health condition (including any other long-term health conditions) and the population who reported they did not have a long-term health condition.

Scope

All persons

Categories

Code Category
121 Does not have a long-term health condition
122 Has one or more long-term health condition(s)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked that they have one or more long-term health conditions (including ‘Any other long-term health condition(s)’). It also counts the number of people who marked ‘No long-term health condition’.

For a count of the number of selected long-term health conditions a person has, refer to Count of selected long-term health conditions (CLTHP).

History and changes

This is a new question for the 2021 Census.

Data use considerations

There are no data use considerations for this variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

Whether has lung condition (including COPD and emphysema) (HLUNP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have a lung condition (including Chronic Obstructive Pulmonary Disorder (COPD) or emphysema). This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
081 Has a lung condition (including COPD or emphysema)
082 Does not have a lung condition (including COPD or emphysema)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Lung condition (including COPD or emphysema)’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has asthma and lung condition (COASLCP)
  • Whether has lung condition and mental health condition (COLCMHP)

Whether has mental health condition (including depression or anxiety) (HMHCP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have a mental health condition (including depression or anxiety). This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
091 Has a mental health condition (including depression or anxiety)
092 Does not have a mental health condition (including depression or anxiety)
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Mental health condition (including depression or anxiety)’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)
  • Whether has heart disease and mental health condition (COHDMHP)
  • Whether has lung condition and mental health condition (COLCMHP)

Whether has other long-term health condition(s) (HOLHP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have a long-term health condition that is not:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease 
  • lung conditions (including COPD or emphysema)
  • mental health conditions (including depression or anxiety)
  • stroke

This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons 

Categories

Code Category
111 Has one or more other long-term health conditions
112 Does not have any other long-term health conditions
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Any other long-term health condition(s)’.

History and changes

This is a new variable for 2021.

Data use consideration

There are no data use considerations for this variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Type of long-term health condition (LTHP)

Whether has had a stroke (HSTRP)

Definition

This variable describes whether a person has been told by a doctor or nurse that they have had a stroke. This variable does not indicate whether a person has multiple long-term health conditions.

Scope

All persons

Categories

Code Category
101 Has had a stroke
102 Has not had a stroke
&&& Not stated
VVV Overseas visitor

Number of categories: 4

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Stroke’ on the form.

History and changes

This is a new variable for 2021.

Data use considerations

Long-term health conditions data from the Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.

Related variables and glossary terms

  • Long term health condition (LTHP)

Type of long-term health condition (LTHP)

Definition

This variable records the type of selected long-term health condition(s) a person has reported. Respondents can record multiple long-term health conditions including:

  • arthritis
  • asthma
  • cancer (including remission)
  • dementia (including Alzheimer’s)
  • diabetes (excluding gestational diabetes)
  • heart disease (including heart attack or angina)
  • kidney disease
  • lung condition (including COPD or emphysema)
  • mental health condition (including depression or anxiety)
  • stroke
  • any other long-term health condition(s)

Scope

All persons

Categories

Code Category
011 Arthritis
021 Asthma
031 Cancer (including remission)
041 Dementia (including Alzheimer’s)
051 Diabetes (excluding gestational diabetes)
061 Heart disease (including heart attack or angina)
071 Kidney disease
081 Lung condition (including COPD or emphysema)
091 Mental health condition (including depression or anxiety)
101 Stroke
111 Any other long-term health condition(s)
121 No long-term health condition(s)
&&& Not stated
VVV Overseas visitor

Number of categories: 14

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person been told by a doctor or nurse that they have any of these long-term health conditions?

How this variable is created

Data for this variable is derived from the long-term health conditions question. If the respondent marks ‘No long-term health condition’ and also marks other fields, the ‘No long-term health condition’ response is ignored. 

As respondents can select multiple conditions, the count of components for this variable will not equal the total number of people.

History and changes

This is a new variable for 2021.

Data use considerations

The rationale for including the long-term health conditions topic in the 2021 Census was to: 

  • allow for cross-classification with other Census topics 
  • enable output for sub-populations (e.g. culturally and linguistically diverse (CALD) or Aboriginal and Torres Strait Islander populations) 
  • enable data outputs at finer geographies than what can be achieved through existing health collections.

Long-term health condition information collected in the 2021 Census will not have the same level of detail as the larger health collections such as the National Health Survey (NHS) and National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS). Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the NHS or NATSIHS.

As Type of long-term health condition allows for multiple responses, proportions of people with a particular condition should be derived using the total population in the denominator for the relevant aggregation, and not the sum of all conditions.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.

Related variables and glossary terms

Household and families

Mnemonic  Variable  Release  
CACF Count of all children in family June 2022
CDCAF Count of dependent children under 15 in family temporarily absent June 2022
CDCF Count of dependent children in family June 2022
CDCUF Count of dependent children under 15 in family June 2022 New
CDSAF Count of dependent students (15-24 years) in family temporarily absent June 2022
CDSF Count of dependent students (15-24 years) in family June 2022 New
CNDAF Count of non-dependent children temporarily absent June 2022
CNDCF Count of non-dependent children in family June 2022
CPAD Count of persons temporarily absent from household June 2022
CPAF Count of persons temporarily absent from family June 2022
CPRF Count of persons in family June 2022
CTGP Child type (including grandchildren) June 2022
CTPP Child type June 2022
FBLF Family blending June 2022
FMCF Family composition June 2022
FMGF Grandparent families June 2022
FNOF Family number June 2022
FPIP Parent indicator June 2022 New
FRLF Relationship between families June 2022
HCFMD Family household composition (dwelling) June 2022
HCFMF Family household composition (family) June 2022
HHCD Household composition June 2022
IFMSTP Imputation flag for registered marital status June 2022
IFNMFD Imputation flag for number of males and females in dwelling June 2022
MDCP Social marital status June 2022
MSTP Registered marital status June 2022
NPRD Number of persons usually resident in dwelling June 2022
RLCP Relationship as reported for couples June 2022
RLGP Relationship in household (including grandchildren) June 2022
RLHP Relationship in household June 2022
RPIP Family/household reference person indicator June 2022
SLPP Sex of lone parent June 2022
SPIP Spouse/partner indicator June 2022 New
SPLF Location of spouse June 2022
SSCF Same-sex couple indicator June 2022

Count of all children in family (CACF)

Definition

This variable counts the number of dependent and non-dependent children in the family. It includes up to three children who were temporarily absent from the household on Census Night.

Scope

Families with children in family households

Categories

Code  Category
1 One child in family
2 Two children in family
3 Three children in family
4 Four children in family
5 Five children in family
6 Six or more children in family
@ Not applicable

Number of categories: 7

Not applicable (@) category comprises:

  • Couples in families with no children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is Person 2's relationship to Person 1?

What is Person 1's date of birth?

Is Person 1 attending a school or any other education institution?

For each person away, complete the following questions:

How this variable is created

This variable is created from the relationship in household, age, attendance at an educational institution and persons temporarily absent (PTA) questions on the Census form.

Children present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:

  • children under 15 (categories 31-36)
  • dependent student (categories 41-43)
  • non-dependent child (categories 51-53)

Children who are absent from the household on Census Night are counted from responses to the PTA questions. The responses are first categorised based on age and student status and then counted in this variable. The three temporarily absent child variables are:

  • Count of dependent children under 15 temporarily absent (CDCAF)
  • Count of dependent students (15-24 years) temporarily absent (CDSAF)
  • Count of non-dependent children temporarily absent (CNDAF)

History and changes

This variable was first introduced in 2011.

No changes have been made for 2021.

Data use considerations

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of dependent children under 15 in family (CDCUF)
  • Count of dependent children in family (CDCF)   
  • Count of dependent students in family (15 – 24 years) (CDSF)
  • Count of non-dependent children in family (CNDCF)
  • Relationship in household (RLHP)
  • Child
  • Family

Count of dependent children under 15 in family temporarily absent (CDCAF)

Definition

This variable counts the number of dependent children aged under 15 years that were reported as temporarily absent from the family.

Scope

Families which include children aged under 15 years

Categories

Code Category
0 No dependent children under 15 years temporarily absent
1 One dependent child under 15 years temporarily absent
2 Two dependent children under 15 years temporarily absent
3 Three dependent children under 15 years temporarily absent
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Couple families with no children under 15 years, no dependent students and no non-dependent children
  • One parent or couple families with no children under 15 years, and with dependent students and non-dependent children
  • One parent or couple families with no children under 15 years, and with dependent students and no non-dependent children
  • One parent or couple families with no children under 15 years, no dependent students and with non-dependent children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

For each person away, complete the following questions:

How this variable is created

This variable is derived from the persons temporarily absent (PTA) questions on the Census form to count the number of children under 15 who were absent from the family on Census Night. Dependent children under 15 are classified if they form a parent child relationship and are 0-14 years of age.

History and changes

This variable was first introduced in 1996. Prior to 2016, information on dependent children was available in a variable called Dependent offspring present (CDPF). This was a single count of dependent children Temporarily absent.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Count of dependent children in family (CDCF)

Definition

This variable counts the number of dependent children in the family. A dependent child is a person who is either a child under 15 years of age, or a dependent student aged 15-24 years. It includes up to three dependent children who were temporarily absent from the dwelling on Census Night.

Scope

Families with children in family households

Categories

Code Category
Couple family with:
00 No dependent children
01 One dependent child
02 Two dependent children
03 Three dependent children
04 Four dependent children
05 Five dependent children
06 Six or more dependent children
One parent family with:
07 No dependent children
08 One dependent child
09 Two dependent children
10 Three dependent children
11 Four dependent children
12 Five dependent children
13 Six or more dependent children
Not applicable:
@@ Not applicable

Number of categories: 15

Not applicable (@@) category comprises:

  • Couple families with no children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is Person 1's date of birth?

Is Person 1 attending a school or any other education institution?

For each person away, complete the following questions:

How this variable is created

This variable is created from responses to relationship in household, age, attendance at an educational institution and persons temporarily absent (PTA) questions on the Census form. 

It counts the number of dependent children in couple families and one parent families.

The Family composition (FMCF) variable is used to determine whether the family is a couple family or a one parent family. 

Dependent children present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:

  • children under 15 (categories 31-36)
  • dependent student (categories 41-43)

Dependent children who are temporarily absent from the household on Census Night are counted from the following variables:

  • Count of dependent children under 15 temporarily absent (CDCAF)
  • Count of dependent students (15-24 years) temporarily absent (CDSAF)

History and changes

This variable was first introduced in 2011.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of non-dependent children in family (CNCDF)
  • Relationship in household (RLHP)
  • Child

Count of dependent children under 15 in family (CDCUF)

Definition

This variable counts the number of dependent children aged under 15 years in a family. It includes up to three dependent children aged under 15 years who were temporarily absent from the household on Census Night.

Scope

Families which include dependent children aged under 15 years in household

Categories

Code Category
Couple family with:
00 No dependent children under 15 years
01 One dependent child under 15 years
02 Two dependent children under 15 years
03 Three dependent children under 15 years
04 Four dependent children under 15 years
05 Five dependent children under 15 years
06 Six or more dependent children under 15 years
One parent family with:
07 No dependent children under 15 years
08 One dependent child under 15 years
09 Two dependent children under 15 years
10 Three dependent children under 15 years
11 Four dependent children under 15 years
12 Five dependent children under 15 years
13 Six or more dependent children under 15 years
@@ Not applicable

Number of categories: 15

Not applicable (@@) category comprises:

  • Couple family with no children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is Person 2's relationship to Person 1?

For each person away, complete the following questions:

How this variable is created

This variable is derived from responses to the Relationship in household question and persons temporarily absent (PTA) questions on the Census form. It counts the number of dependent children in couple families and one parent families using the following variables:

  • Family composition (FMCF)
  • Relationship in household (RLHP)
  • Count of dependent children under 15 years in family temporarily absent (CDCAF)

History and Changes

This variable is new for 2021.

Data use considerations

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of dependent children under 15 in family temporarily absent (CDCAF)   
  • Relationship in household (RLHP)
  • Child

Count of dependent students (15-24 years) in family temporarily absent (CDSAF)

Definition

This variable counts the number of dependent students aged 15-24 years that were reported as temporarily absent in a family. It includes up to three dependent students who were temporarily absent from the dwelling on Census Night.

Scope

Families which include dependent students aged 15-24 years

Categories

Code Category
0 No dependent students (15-24 years) temporarily absent
1 One dependent student (15-24 years) temporarily absent
2 Two dependent students (15-24 years) temporarily absent
3 Three dependent students (15-24 years) temporarily absent
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Couple families with no children under 15 years, no dependent students and no non-dependent children
  • One parent or couple families with children under 15 years, no dependent students and with non-dependent children
  • One parent or couple families with children under 15 years, no dependent students and no non-dependent children
  • One parent or couple families with no children under 15 years, no dependent students and with non-dependent children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

For each person away, complete the following questions:

How this variable is created

This variable is derived from responses to the persons temporarily absent (PTA) questions on the Census form. Dependent students (15-24 years) are classified if they are 15-24 years of age and a full-time student.

History and changes

This variable was first introduced in 1996. Prior to 2016, information on dependent children was available in the Dependent offspring present (CDPF) variable. This was a single count of dependent children temporarily absent.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Count of dependent students (15-24 years) in family (CDSF)

Definition

This variable counts the number of dependent students aged 15-24 years in a family. It includes up to three dependent students aged 15-24 years who were temporarily absent from the household on Census Night. 

Scope

Families which include dependent students aged 15-24 years

Categories

Code Category
Couple family with:
00 No dependent students (15-24 years)
01 One dependent student (15-24 years)
02 Two dependent students (15-24 years)
03 Three dependent students (15-24 years)
04 Four dependent students (15-24 years)
05 Five dependent students (15-24 years)
06 Six or more dependent students (15-24 years)
One parent family with:
07 No dependent students (15-24 years)
08 One dependent student (15-24 years)
09 Two dependent students (15-24 years)
10 Three dependent students (15-24 years)
11 Four dependent students (15-24 years)
12 Five dependent students (15-24 years)
13 Six or more dependent students (15-24 years)
@@ Not applicable

Number of categories: 15

  • Not applicable (@@) category comprises:
  • Couple family with no children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is Person 1's date of birth?

Is Person 1 attending a school or any other education institution?

For each person away, complete the following questions:

How this variable is created

This variable is created from responses to relationship in household, age, attendance at a educational institution and persons temporarily absent (PTA) questions on the Census form. 

It counts the number of dependent students (15-24 years) in couple families and one parent families.

The Family composition (FMCF) variable is used to determine whether the family is a couple family or a one parent family. 

Dependent  students present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:

  • 41 Natural or adopted dependent student
  • 42 Student step child
  • 43 Student foster child

Up to three dependent students (15-24 years) who are temporarily absent from the household on Census Night can be counted in the Count of dependent students (15-24 years) temporarily absent (CDSAF) variable.

History and changes

This variable is new for 2021.

Data use considerations

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of dependent students (15 – 24 years) in family temporarily absent (CDSAF)
  • Relationship in household (RLHP)
  • Child

Count of non-dependent children in family temporarily absent (CNDAF)

Definition

This variable counts the number of non-dependent children reported as temporarily absent from the family on Census Night. A maximum of three people can be reported and coded as temporarily absent from the dwelling.

A non-dependent child refers to a natural, adopted, step or foster child of a couple or lone parent usually resident in the household. They are aged 15 years and over and not a full-time student aged 15-24 years. They also have no identified partner or child of their own usually resident in the household.

Scope

Families which include non-dependent children

Categories

Code Category
0 No non-dependent children temporarily absent
1 One non-dependent child temporarily absent
2 Two non-dependent children temporarily absent
3 Three non-dependent children temporarily absent
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Couple families with no children under 15 years, no dependent students and no non-dependent children
  • One parent or couple families with children under 15 years, dependent students and no non-dependent children
  • One parent or couple families with children under 15 years, no dependent students and no non-dependent children
  • One parent or couple families with no children under 15 years, and with dependent students and no non-dependent children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

For each person away, complete the following questions:

How this variable is created

This variable is derived from responses to the persons temporarily absent (PTA) questions on the Census form. Non-dependent children are classified if they are:

  • children who are 15-24 years of age who are not full-time students
  • children aged 25 years and over

History and changes

This variable was first introduced in 1996. It replaced a variable called Other offspring temporarily absent (COAF).

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Count of non-dependent children in family (CNDCF)

Definition

This variable counts the number of non-dependent children in the family. It includes up to three non-dependent children who were temporarily absent from the household on Census Night.

A non-dependent child refers to a natural, adopted, step or foster child of a couple or lone parent usually resident in the household. They are aged 15 years and over and not a full-time student aged 15-24 years. They also have no identified partner or child of their own usually resident in the household.

Scope

Families with children in family households

Categories

Code Category
Couple family with:
00 No non-dependent children
01 One non-dependent child
02 Two non-dependent children
03 Three non-dependent children
04 Four non-dependent children
05 Five non-dependent children
06 Six or more non-dependent children
One parent family with:
07 No non-dependent children
08 One non-dependent child
09 Two non-dependent children
10 Three non-dependent children
11 Four non-dependent children
12 Five non-dependent children
13 Six or more non-dependent children
Not applicable:
@@ Not applicable

Number of categories: 15

Not applicable (@@) category comprises:

  • Couple families with no children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is Person 1's date of birth?

Is Person 1 attending a school or any other education institution?

For each person away, complete the following questions:

How this variable is created

This variable is created from responses to relationship in household, age, attendance at a educational institution and persons temporarily absent (PTA) questions on the Census form. 

It counts the number of non-dependent children in couple families and one parent families.

The Family composition (FMCF) variable is used to determine whether the family is a couple family or a one parent family. 

Non-dependent children present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:

  • 51 Non-dependent natural, or adopted child
  • 52 Non-dependent step child
  • 53 Non-dependent foster child

Up to three non-dependent children who are temporarily absent from the household on Census Night can be counted from the variable Count of dependent students (15-24 years) temporarily absent (CDSAF).

History and changes

This variable was first introduced in 2011.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of dependent children in family (CDCF)
  • Count of non-dependent children in family temporarily absent (CNDAF) 
  • Relationship in household (RLHP)
  • Child

Count of persons temporarily absent from household (CPAD)

Definition

This variable counts the total number of people who were reported as temporarily absent from the household. A maximum of three people can be reported and coded as temporarily absent.

Scope

Family and group households

Categories

Code Category
0 No persons temporarily absent from household
1 One person temporarily absent from household
2 Two persons temporarily absent from household
3 Three persons temporarily absent from household
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Lone person households
  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

For each person away, complete the following questions:

How this variable is created

This variable is derived from the persons temporarily absent (PTA) questions on the Census form. The count includes:

  • husbands/wives
  • de facto partners
  • unrelated flatmates or co-tenants
  • children (i.e. dependent children under 15 years, dependent students (15-24 years) and non-dependent children).

History and changes

This question was first asked in the 1986 Census.

No changes have been made for 2021.

Data use considerations

This data is subject to a family coding process so that only those persons who form a Family group (that is partners, children and grandchildren aged under 15 years), and Unrelated persons living in group households are included. Family members who are not identified as members of the Family group are not included in Count of persons temporarily absent from household.

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both Family and Group households. Due to form limitations, a maximum of three people can be reported and coded as Temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of dependent children under 15 in family temporarily absent (CDCAF)   
  • Count of dependent students (15 – 24 years) in family temporarily absent (CDSAF)
  • Count of non-dependent children in family temporarily absent (CNDAF) 
  • Temporarily absent

Count of persons temporarily absent from family (CPAF)

Definition

This variable counts the total number of people who were temporarily absent from a family on Census Night. The count of persons temporarily absent includes husbands/wives/partners, de facto partners, and children (dependent children aged under 15 years, dependent students (15-24 years) and non-dependent children). A maximum of three people can be coded as temporarily absent in the dwelling.

Scope

Families in family households

Categories

Code Category
0 No persons temporarily absent from family
1 One person temporarily absent from family
2 Two persons temporarily absent from family
3 Three persons temporarily absent from family
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

For each person away, complete the following questions:

How this variable is created

This variable is derived from the persons temporarily absent (PTA) questions on the Census form. Persons included in the main family structure are processed to create this variable. They include:

  • partner
  • child
  • grandchild aged under 15.

Other family members not included in the main family structure are removed.

History and changes

This question was first introduced in 1996.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of dependent children under 15 in family temporarily absent (CDCAF)   
  • Count of dependent students (15 – 24 years) in family temporarily absent (CDSAF)
  • Count of non-dependent children in family temporarily absent (CNDAF) 
  • Count of persons in family (CPRF)
  • Family
  • Temporarily absent

Count of persons in family (CPRF)

Definition

This variable counts the number of people in a family.

It includes other related people such as: 

  • people outside of the primary couple relationship
  • people outside of a lone parent-child relationship
  • non blood relatives (e.g. in-laws).

Scope

Families in family households

Categories

Code Category
2 Two persons in family
3 Three persons in family
4 Four persons in family
5 Five persons in family
6 Six or more persons in family
@ Not applicable

Number of categories: 6

Not applicable (@) category comprises:

  • Unrelated persons living in family households
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable is derived from the following variables:

  • Relationship in household (RLHP)
  • Count of persons temporarily absent family (CPAF)

It includes up to three persons who were temporarily absent from the family on Census Night.

History and changes

This variable was first introduced in 2011.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Count of persons temporarily absent from family (CPAF)
  • Relationship in household (RLHP)
  • Family

Child type (including grandchildren) (CTGP)

Definition

This variable records the different child types within a family, including grandchildren. It recognises a grandchild regardless of the age of the grandchild. This variable is different to the standard Child type (CTPP) variable which does not capture grandchildren. 

This variable can only be used with other related grandparent/grandchild variables. These variables are:

  • Grandparent families (FMGF)
  • Relationship in household (including grandchildren) (RLGP)

It cannot be used with standard family variables.

Scope

All children

Categories

Code Category
1 Natural, or adopted child of both parents or lone parent
2 Step child of male parent
3 Step child of female parent
4 Foster child, so stated
5 Grandchild
6 Otherwise related child (under 15)
7 Unrelated child (under 15)
@ Not applicable
V Overseas visitor

Number of categories: 9

Not applicable (@) category comprises:

  • Husband, wife, partners, lone parents, other related individuals, non-family members, or visitors (from within Australia) in family households
  • Persons in non-family/non-classifiable households
  • Persons in non-private dwellings
  • Persons in migratory, off-shore and shipping SA1s

See Understanding supplementary codes for more information.

An overcount of step children has been identified for some states and territories in the 2021 Census. This will impact some of the category counts for this variable. For more information, read the Data use considerations section below.

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is the person's date of birth and age?

Is the person attending a school or other education institution?

For each person away, complete the following questions:

How this variable is created

This variable is created using responses to the relationship in household, age, attendance at an educational institution and persons temporarily absent (PTA) questions on the Census form. It is derived from the Relationship in household (including grandparents) (RLGP) variable.

This variable classifies a person as a grandchild, regardless of age, if their Relationship in household (including grandchildren) (RLGP) to the family reference person is either a:

  • 34 Grandchild under 15
  • 44 Dependent student grandchild
  • 54 Non dependent grandchild

Child type (including grandchildren) (CTGP) is different to the standard family variable Child type (CTPP). The table below outlines these differences and how each variable classifies the child.

Scenario How it would be coded in CTGP How it would be coded in CTPP
Person aged 15 years or more and has relationship of grandchild to Person 1/Person 2 5 Grandchild @ Not applicable
Person aged under 15 and has relationship of grandchild to Person 1/Person 2 5 Grandchild 35 Otherwise related child under 15

History and changes

This variable was created in 2011.

No changes have been made for 2021.

Data use considerations

Users should note that grandparent-grandchild relationships are constructed for the purposes of family coding in order to create a statistical family. It may not be representative of who provides care.

For example, a scenario could be that a 20 year old grandchild lives with her grandmother. She is a full-time student and is dependent on her grandmother. Alternatively, she may have moved in with her grandmother specifically to take care of her. It is important that users do not make assumptions about grandparent families.

An overcount of step children and an undercount of natural or adopted children for couple families has been identified for Western Australia, New South Wales, Queensland, Northern Territory and Other Territories. Victoria was partially affected. South Australia, Tasmania and the Australian Capital Territory remain unaffected. Only step children in couple families where the spouse was temporarily absent were impacted. These children have been incorrectly categorised to the step child of male parent or female parent categories for both Child type (CTPP) and Child type (including grandchildren) (CTGP) variables. These children have also been incorrectly categorised to step child under 15, student step child or non-dependent step child for both Relationship in household (RLHP) and Relationship in household (including grandchildren) (RLGP) variables. This also means these families have been incorrectly categorised as step families in the Family blending (FBLF) variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Grandparent families (FMGF)
  • Relationship in household (including grandchildren) (RLGP)
  • Child

Child type (CTPP)

Definition

This variable identifies different parent-child relationships within families.

Scope

All children

Categories

CodeCategory
1Natural, or adopted child of both parents or lone parent
2Step child of male parent
3Step child of female parent
4Foster child, so stated
5Otherwise related child (under 15)
6Unrelated child (under 15)
@Not applicable
VOverseas visitor

Number of categories: 8

Not applicable (@) category comprises:

  • Husband, wife, partners, lone parents, other related individuals, non-family members, or visitors (from within Australia) in family households
  • Persons in non-family/non-classifiable households
  • Persons in non-private dwellings
  • Persons in migratory, off-shore and shipping SA1s

See Understanding supplementary codes for more information.

An overcount of step children has been identified for some states and territories in the 2021 Census. This will impact some of the category counts for this variable. For more information, read the Data use considerations section below.

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable is derived from the Relationship in household question on the Census form.

Children are classified as:

  • A ‘child’ if the person is aged under 15 years of age
  • 'Otherwise related child' when they live with another adult relative (e.g. older sibling, aunt, uncle) and no natural, adoptive, step-, foster-, or grand- parent is identified
  • 'Unrelated child' when no relative is identified within the same dwelling.

Persons aged over 15 years and over are classified as:

  • ‘Children’ if they are living with a natural, adoptive, step, foster or grandparent
  • 'Not applicable’ if they are a boarder and/or lodger aged 15 years and over

In some cases, children are listed on the Census form as Person 2. In this case, if both parents are usual residents, the response 'Child of both Person 1 and Person 2' is not available in the relationship question for Person 2. Coders attempt to establish whether the child was a step child or child of both parents using other information such as surname.

History and changes

A question on the relationships between members of a household has been asked in all censuses since 1911. This variable has been output since 1991.

No changes have been made for 2021.

Data use considerations

This variable captures complex family structures such as blended families or multiple generations of families within a household. The quality of family data in the Census is partly dependent on people’s ability to describe these relationships within the constraints of the generalised questionnaire format required by a Census.

The categories 'step child' and 'foster child' are not necessarily pure counts as a parent may report such a child as being a child of Person 1 and Person 2. In this case the child would be classified as a 'natural child'.

Cross classification of Child type (CTPP) with Family composition (FMCF) allows analysis of different family types.

An overcount of step children and an undercount of natural or adopted children for couple families has been identified for Western Australia, New South Wales, Queensland, Northern Territory and Other Territories. Victoria was partially affected. South Australia, Tasmania and the Australian Capital Territory remain unaffected. Only step children in couple families where the spouse was temporarily absent were impacted. These children have been incorrectly categorised to the step child of male parent or female parent categories for both Child type (CTPP) and Child type (including grandchildren) (CTGP) variables. These children have also been incorrectly categorised to step child under 15, student step child or non-dependent step child for both Relationship in household (RLHP) and Relationship in household (including grandchildren) (RLGP) variables. This also means these families have been incorrectly categorised as step families in the Family blending (FBLF) variable.  

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Family blending (FBLF)

Definition

This variable classifies couple families with children living in private dwellings, based on the parent-child relationships within them.

Scope

Couple families with children

Categories

Code Category
1 Intact family with no other children present
2 Step family with no other children present
3 Blended family with no other children present
4 Intact family with other children present
5 Step family with other children present
6 Blended family with other children present
7 Other couple family with other children only
@ Not applicable

Number of categories: 8

Not applicable (@) category comprises:

  • One parent families
  • Couple families with no children
  • Other families
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Intact, step and blended families can also include other children who are not the natural children of either parent in the couple, such as:

  • Foster children
  • A grandchild being raised by their grandparents

A child who is either the natural child of one partner but not of the other, or who is reported as being the step child of both parents is classified as a step child.

An overcount of step children has been identified for some states and territories in the 2021 Census. This will impact some of the category counts for this variable. For more information, read the Data use considerations section below.

Family type definitions

Family blending category definitions

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable is derived from the Relationship in household and Persons temporarily absent questions on the Census form. Temporarily absent children are taken into consideration when classifying families.

Families are only derived for occupied private dwellings where a family composition can be determined from the relationship within the household.

History and changes

This variable was first introduced in 2006.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both Family and Group households.

Due to form limitations, a maximum of three people can be reported and coded as Temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Reporting relationships in respect to ‘Person 1’ on the Census form can make it difficult to establish the relationships within a household, especially dwellings containing blended families. In some cases, further information is used during processing to help determine relationships. This includes:

  • Surname or family name
  • Usual residence
  • Marital status

If a child is listed on the Census form as 'Person 2' and both parents are usual residents, the response 'Child of both Person 1 and Person 2' is not available in the relationship question for 'Person 2'. In these cases an attempt is made to establish whether the child was a step-child or child of both parents using information such as surname. Despite these attempts there may be a small proportion of children coded to 'step-child' who may be a child of both parents. There may also be cases where the child of reference person (and a step-child of the partner) is incorrectly coded as a child of both parents.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

An overcount of step children and an undercount of natural or adopted children for couple families has been identified for Western Australia, New South Wales, Queensland, Northern Territory and Other Territories. Victoria was partially affected. South Australia, Tasmania and the Australian Capital Territory remain unaffected. Only step children in couple families where the spouse was temporarily absent were impacted. These children have been incorrectly categorised to the step child of male parent or female parent categories for both Child type (CTPP) and Child type (including grandchildren) (CTGP) variables. These children have also been incorrectly categorised to step child under 15, student step child or non-dependent step child for both Relationship in household (RLHP) and Relationship in household (including grandchildren) (RLGP) variables. This also means these families have been incorrectly categorised as step families in the Family blending (FBLF) variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Family composition (FMCF)

Definition

This variable classifies families into different family types. It uses a single family reference person and classifies each member around that person.

When classifying families into different types, information about temporarily absent family members is used.

This variable distinguishes between different types of families based on the presence or absence of couple relationships, parent-child relationships, child dependency relationships or other familial relationships, in that order of preference.

Scope

Families in family households

Categories

1 Couple family with no children
  12 Couple family with no children
    122 Couple family with no children
      1222 Couple family with no children
2 Couple family with children
  21 Couple family with children under 15
    211 Couple family with children under 15 and dependent students
      2111 Couple family with children under 15, dependent students and non-dependent children
      2112 Couple family with children under 15, dependent students and no non-dependent children
    212 Couple family with children under 15 and no dependent students
      2121 Couple family with children under 15, no dependent students and with non-dependent children
      2122 Couple family with children under 15, no dependent students and no non-dependent children
  22 Couple family with no children under 15
    221 Couple family with no children under 15 and with dependent students
      2211 Couple family with no children under 15, and with dependent students and non-dependent children
      2212 Couple family with no children under 15, and with dependent students and no non-dependent children
    222 Couple family with no children under 15 and no dependent students
      2221 Couple family with no children under 15, no dependent students and with non-dependent children
3 One parent family
  31 One parent family with children under 15
    311 One parent family with children under 15 and dependent students
      3111 One parent family with children under 15, dependent students and non-dependent children
      3112 One parent family with children under 15, dependent students and no non-dependent children
    312 One parent family with children under 15 and no dependent students
      3121 One parent family with children under 15, no dependent students and with non-dependent children
      3122 One parent family with children under 15, no dependent students and no non-dependent children
  32 One parent family with no children under 15
    321 One parent family with no children under 15 and with dependent students
      3211 One parent family with no children under 15, with dependent students and non-dependent children
      3212 One parent family with no children under 15, with dependent students and no non-dependent children
    322 One parent family with no children under 15 and no dependent students
      3221 One parent family with no children under 15, no dependent students and with non-dependent children
9 Other family  
  92 Other family  
    922 Other family
      9222 Other family
@@@@ Not applicable      

Number of categories:

  • One digit level: 4
  • Two digit level: 6
  • Three digit level: 10
  • Four digit level: 17

Not applicable (@@@@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable is derived from the Relationship and persons temporarily absent questions on the Census form. During data processing, families are identified and created based around a ‘family reference person’, usually person 1 recorded on the Census form.

This variable distinguishes between different types of families based on the presence or absence of couple relationships, parent-child relationships, child dependency relationships or other family relationships, in that order of preference. Families are classified in terms of the relationships that exist between a single family reference person and each other member of that family.

Reporting relationships in respect of 'Person 1' on the form, can make it difficult to establish all the relationships that exist in a household, or to identify whether more than one family is living in the dwelling. In some cases, additional information such as surname, usual residence and marital status are used during data processing to help determine these relationships.

History and changes

This variable was first introduced in the 2006 Census to replace Family type (FMTF).

No changes have been made for 2021.

Data use considerations

Across the community, a wide variety of living arrangements exist therefore family structures can be complex and dynamic in nature. The quality of family data in the Census is dependent on people’s ability to describe these relationships with the usual residence in the household.

This variable relates only to the basic composition of a family and is the principle family variable used in family tabulations. Demographic characteristics of the different family compositions can be established with cross tabulation with:

Note: There is no provision for 'other related individuals' in second and third families.

If more than three families are found in a household, only three families are separately classified. Any other people are classified as either related family members or non-family members as appropriate and are attached to family one.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Grandparent families (FMGF)

Definition

This variable classifies families into different family types depending on the composition of the family. It differs from the standard Family composition (FMCF) variable because it recognises grandparent-grandchild relationships.

Grandparent families are recognised when there is a grandparent-grandchild relationship present and no parent-child relationship present in a family.

This variable can only be used with other related grandparent/grandchild variables. These variables are:

  • Child type (including grandchildren) (CTGP)
  • Relationship in household (including grandchildren) (RLGP)

It cannot be used with standard family variables.

Scope

Families with grandchildren

Categories

Code Category
1 Couple family with grandchildren
11 Couple family with grandchildren under 15 (with or without other children)
12 Couple family with no grandchildren under 15 and with dependent student grandchildren (with or without other children)
13 Couple family with no grandchildren under 15, no dependent student grandchildren and with non-dependent grandchildren (with or without other children)
2 Lone grandparent
21 Lone grandparent with grandchildren under 15 (with or without other children)
22 Lone grandparent with no grandchildren under 15 and with dependent student grandchildren (with or without other children)
23 Lone grandparent with no grandchildren under 15, no dependent student grandchildren and with non-dependent grandchildren (with or without other children)
@@ Not applicable

Number of categories:

  • One digit level: 2
  • Two digit level: 7

Not applicable (@@) category comprises:

  • Families with no grandchildren
  • Non-family/non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is the person’s date of birth and age?

Is Person 1 attending a school or any other education institution?

For each person away, complete the following questions:

How this variable is created

This variable is created using responses to the relationship in household, age, attendance at an education institution and persons temporarily absent (PTA) questions on the Census form.

It only counts families where there is a grandparent-grandchild relationship present and no parent-child relationship present in a family. All other families are coded to not applicable.

When classifying families into different grandparent family types the following information is used:

  • Relationship in household (including grandchildren) (RLGP) variable for family members present in the household on Census Night
  • PTA questions for family members who were temporarily absent from the household on Census Night

The table below shows how grandparent-grandchild relationships are coded differently between the Grandparent families (FMGF) and the standard Family composition (FMCF) variable.

Scenario

How it would be coded in FMGF

How it would be coded in FMCF

Grandparents who are a couple with a grandchild under 15 years old

11 Couple family with grandchildren under 15 (with or without other children)

2 Couple family with children

Grandparents who are a couple with a grandchild who is a dependent student (aged 15-24 years)

12 Couple family with no grandchildren under 15 and with dependent student grandchildren (with or without other children)

1 Couple family with no children

Grandparents who are a couple with a non-dependent grandchild

13 Couple family with no grandchildren under 15, no dependent student and with non-dependent grandchildren (with or without other children)

2 Couple family with no children

Lone grandparent with a grandchild under 15 years old

21 Lone grandparent with grandchildren under 15 (with or without other children)

3 One parent family

Lone grandparent with a grandchild who is a dependent student (aged 15-24 years)

22 Lone grandparent with no grandchildren under 15 and with dependent student grandchildren (with or without other children)

3 One parent family

Lone grandparents with a non-dependent grandchild

23 Lone grandparent with no grandchildren under 15, no dependent student grandchildren and with non-dependent grandchildren (with or without other children)

9 Other family

History and changes

This variable was first introduced in 2011 to enable grandparent families to be identified more easily within the data.

No changes have been made for 2021.

Data use considerations

During Census family coding, all children under 15 years of age are allocated a nominal parent if their parent/s are not present in the household on Census Night, or if the parent/s were not reported as temporarily absent. Nominal parents can be the child's sibling, grandparent, aunt/uncle or other related individuals.

Grandparent families are recognised where a grandparent/s is allocated as the nominal parent or where there is only a grandparent-grandchild relationship present in the family (and no parent-child relationship). When a parent is temporarily absent from the family and their relationship to the child cannot be determined, the relationship cannot be coded. This can result in a small number of children being reported incorrectly as grandchildren when a parent is simply absent on Census Night.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Child type (including grandchildren) (CTGP)
  • Relationship in household (including grandchildren) (RLGP)
  • Family

Family number (FNOF)

Definition

This variable categorises multiple families in a household as either the primary, second or third family. Families in a one family household are always classified as the primary family.

Scope

Families in family households

Categories

Code Category
1 Primary family
2 Second family
3 Third family
@ Not applicable

Number of categories: 4

Not applicable (@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

How this variable is created

This variable is derived from the Relationship in household question on the Census form.

In a multiple family household, a maximum of three families can be identified. In cases where more than three families are identified in a household, the first three families are coded. The other persons are classified as either related family members of the primary family or non-family members.

Where there is more than one family in a household on Census Night, the family with dependent children is designated as the primary family. If there was more than one family, and no children were present in the household, then the first family identified on the Census form becomes the primary family.

History and changes

This variable was first introduced in 1971, to replace the previously used Family group (FMGF) variable. The mnemonic used has changed several times.

No changes have been made for 2021.

Data use considerations

The maximum of three families in a household may have only a small effect on the total number of families overall. However, the impact may be more significant among population groups who are more likely to live in multi-generational households or with large numbers of extended family members.

The term 'Primary family' is an ABS term that is used to aid coding of household relationships. This should not be misinterpreted as signifying that this is the main family in the household or the family that owns the house or for any other reason, other than for ABS relationship coding purposes.

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.

Related variables and glossary terms

Parent indicator (FPIP)

Definition

This variable records the usually resident parent in a family household. It identifies parents of children in family households, provided the parent and child were counted in the same family, or were reported as temporarily absent on Census Night.

Scope

Parents present in the household on Census Night

Categories

CodeCategory
1Male parent
2Female parent
@Not applicable
VOverseas visitor

Number of categories: 4

Not applicable (@) category comprises:

  • Other families
  • Non-family/non-classifiable households
  • Group household member
  • Lone person
  • Other non-classifiable relationship
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s
  • Visitor (from within Australia)

See Understanding supplementary codes for more information.

Question(s) from the Census form

Is the person: Male, Female, Non-binary sex

What is the person’s relationship to Person 1/Person 2?

How this variable is created

This variable is derived from the sex and relationship in household questions on the Census form.

This variable identifies parents of children in family households, provided the parent and child were counted in the same family on Census Night, or reported as 'Person temporarily absent' (PTA) on Census Night.

Parents are counted if there are:

  • dependent children aged under 15 years
  • dependent students aged 15–24 years
  • non-dependent children present in the family.

Children under 15 years of age are allocated a 'nominal parent' if their parent/s are not present in the household on Census Night, or if the parent/s were not reported as temporarily absent. 'Nominal parents' can be the child's sibling, grandparent, aunt/uncle or other related individuals. Only dependent grandchildren-grandparent relationships are counted. Non-dependent grandchildren are excluded.

History and changes

This variable is new for 2021.

Data use considerations

Parents of children or students reported in Census data releases will include same-sex parents and opposite sex parents.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Relationship between families (FRLF)

Definition

This variable describes the relationship between families within a household. The variable Family number (FNOF) is required to identify the primary, second or third family counted within the household.

The relationship described is between the primary family and the second or third family. For example, in a household there is a primary couple family with children and a second couple family. The second family consists of the parents of the reference person in the primary family. This second family would be identified as ‘Mother’s/father’s family'.

Scope

Two or three family households

Categories

Code Category
1 Mother's/father's family
2 Grandparent's family
3 Son's/daughter's family
4 Grandchild's family
5 Brother's/sister's family
6 Other related family
7 Unrelated family
@ Not applicable

Number of categories: 8

Not applicable (@) category comprises:

  • Primary families in multi-family households
  • One family households
  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

How this variable is created

This variable is derived from the Relationship in household question on the Census form. This question is used to determine the relationships people have with others in a multi-family household. Persons temporarily absent are also taken into consideration.

History and changes

This variable was first introduced in 1991.

No changes have been made for 2021.

Data use considerations

Relationship between families categories of 'Mother's/father's family' (FRLF category 1) and 'Son's/daughter's family' (FRLF category 3) are complementary. To find the number of families living with a family that contains a parent or child of one of the family members, users should consider both categories combined.

Users are faced with a similar situation when looking at 'Grandparent's families' and 'Grandchild families' (FRLF categories 2 and 4). Any one of these categories used in isolation will not give a full count of family pairs bound by a specified relationship.

During data processing the relationships identified are used to derive the relationship of each family to the household’s ‘primary family’. A 'primary family' is an ABS term that is used to aid coding of household relationships, and should not be misinterpreted as signifying the family that owns the house, or the 'main' family for any reason other than ABS family and household coding purposes.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Family household composition (dwelling) (HCFMD)

Definition

This variable counts the types of families within family households at the dwelling level. In multiple family households, only the family composition of the primary family is recorded.

Scope

Occupied private dwellings

Categories

Code Category
1 One family household
11 One family household: Couple family with no children
12 One family household: Couple family with children
13 One family household: One parent family
14 One family household: Other family
2 Multiple family household
21 Two family household: Couple family with no children
22 Two family household: Couple family with children
23 Two family household: One parent family
24 Two family household: Other family
25 Three or more family household: Couple family with no children
26 Three or more family household: Couple family with children
27 Three or more family household: One parent family
28 Three or more family household: Other family
3 Other household
31 Lone person household
32 Group household
33 Visitors only household
34 Other non-classifiable household
@@ Not applicable

Number of categories:

  • One digit level: 3
  • Two digit level: 17

Not applicable (@@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable uses information collected from the Relationship in household and the Persons temporarily absent questions on the Census form.

Family and Household structures are identified during Census data processing and are created around a family or household reference person. This variable is derived from the Family composition (FMCF) and Household composition (HHCD) variables.

History and changes

This variable was first introduced in 2011.

No changes have been made for 2021.

Data use considerations

Across the community, a wide variety of living arrangements exist with complex family structures. The quality of family data in the Census is partly dependent on people’s ability to describe these relationships within the constraints of the generalised questionnaire format required by a Census. Reporting relationships in respect of 'Person 1' only, can make it difficult to establish all the relationships which exist in a household, or to identify whether more than one family is living in the dwelling.

A maximum of three families can be coded to a household. Lone person households can contain visitors. Visitor only households can contain overseas visitors.

The 'Other not classifiable' category consists mainly of occupied dwellings where a form was not received. It also includes households:

  • Which the ABS Field Officer determined were occupied on Census Night but where the ABS Field Officer could not make contact
  • That contained only persons aged under 15 years
  • Which could not be classified elsewhere in this classification because there was insufficient information on the Census form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Family composition (FMCF)
  • Household composition (HHCD)
  • Family household composition (family) (HCFMF)
  • Relationship in household (RLHP)

Family household composition (family) (HCFMF)

Definition

This variable counts the types of families within family households at the family level. In multiple family households all family types are counted.

Scope

Families in family households

Categories

Code Category
1 One family household
11 One family household: Couple family with no children
12 One family household: Couple family with children
13 One family household: One parent family
14 One family household: Other family
2 Two family household
21 Two family household: Couple family with no children
22 Two family household: Couple family with children
23 Two family household: One parent family
24 Two family household: Other family
3 Three or more family household
31 Three or more family household: Couple family with no children
32 Three or more family household: Couple family with children
33 Three or more family household: One parent family
34 Three or more family household: Other family
@@ Not applicable

Number of categories:

  • One digit level: 3
  • Two digit level: 13

Not applicable (@@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable uses information collected from the Relationship in household and the Persons temporarily absent questions on the Census form.

Family and household structures are identified during Census data processing and are created around a family or household reference person. This variable is derived from the Family composition (FMCF) and Household composition (HHCD) variables.

History and changes

This variable was first introduced in 2011.

No changes have been made for 2021.

Data use considerations

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Family composition (FMCF)
  • Family household composition (dwelling) (HCFMD)
  • Household composition (HHCD)
  • Relationship in household (RLHP)

Household composition (HHCD)

Definition

This variable describes the type of household within a dwelling. It indicates if a family is present on Census Night and if other unrelated household members are present.

Scope

Occupied private dwellings

Categories

1 One family household    
  11 One family household with only family members present
    110 One family household with only family members present
  12 One family household with non-family members present
    120 One family household with non-family members present
2 Multiple family household    
  21 Two family household
    211 Two family household with only family members present
    212 Two family household with non-family members present
  22 Three or more family household
    221 Three or more family household with only family members present
    222 Three or more family household with non-family members present
3 Non-family household    
  31 Lone person household
    310 Lone person household
  32 Group household
    320 Group household
4 Non-classifiable    
  41 Visitors only
    410 Visitors only
  42 Other non-classifiable
    420 Other non-classifiable
Not applicable      
@@@ Not applicable    

 

Number of categories:

  • One digit level: 4
  • Two digit level: 8
  • Three digit level: 11

Not applicable (@@@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable is derived from the Relationship in household and Persons temporarily absent questions on the Census form.

Family and Household structures are identified during Census data processing and are created around a family or household reference person. Persons identified as temporarily absent on Census Night are taken into consideration when deriving Household composition. This allows for identification of some family types and helps distinguish between lone person and group households.

History and changes

This variable was first used in the 2006 Census. Between 1986 and 2001 some information had been collected through the variable Household type. Other information on families was also collected prior to 1986, though the older variables did not contain as much detail as what has been collected in recent years.

No changes have been made for 2021.

Data use considerations

Across the community, a wide variety of living arrangements exist with complex family structures. The quality of family data in the Census is partly dependent on people’s ability to describe these relationships within the constraints of the generalised questionnaire format required by a Census. Reporting relationships in respect of 'Person 1' only, can make it difficult to establish all the relationships which exist in a household, or to identify whether more than one family is living in the dwelling.

A maximum of three families can be coded to a household. Lone person households can contain visitors. Visitor only households can contain overseas visitors.

The 'Other not classifiable' category consists mainly of occupied dwellings where a form was not received (3.8% of all occupied private dwellings). It also includes households:

  • which the ABS Field Officer determined were occupied on Census Night but where the ABS Field Officer could not make contact
  • that contained only persons aged under 15 years
  • which could not be classified elsewhere in this classification because there was insufficient information on the Census form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Imputation flag for registered marital status (IFMSTP)

Definition

This variable indicates if a person's Registered marital status (MSTP) was imputed.

Scope

Applicable to:

  • all responding people aged 15 years and over
  • all imputed people in private dwellings
  • imputed people aged 15 years and over in non-private dwellings and migratory, off-shore, and shipping areas

Categories

Code Category
1 Marital status not imputed
2 Marital status imputed
@ Not applicable

Number of categories: 3

Not applicable (@) category comprises:

  • Responding persons aged under 15 years
  • Imputed persons aged under 15 years in non-private dwellings and migratory, off-shore, and shipping areas

Question(s) from the Census form

What is the person’s current marital status?

How this variable is created

Registered marital status imputation is carried out by finding a similar person in a similar responding dwelling based on the variables:

Registered marital status is only imputed for people aged 15 years and over and set to 'Not applicable' for people aged under 15 years.

For further information on imputation see, Registered Marital status (MSTP) and Imputation in the Census Glossary. 

History and changes

No changes have been made for 2021.

Data use considerations

The primary imputation method used for the 2021 Census is known as hotdecking. Other imputation processes use probability methods. In general the hotdecking method involves locating a donor record and copying the relevant responses to the record requiring imputation. The donor record will have similar characteristics and must also have the required variable(s) stated. In addition the donor record will be located geographically as close as possible to the location of the record to be imputed. The match must occur within the same Capital City or Balance of State.

Using the Imputation Flag for Registered Marital Status (IFMSTP), the non-response rate for Registered marital status was 5.5% in 2021. This is a decrease from 6.9% in 2016. For more information on imputation, see 2021 Census Methodology.

Related variables and glossary terms

Imputation flag for number of males and females in dwelling (IFNMFD)

Definition

This variable indicates whether the number of males and females were counted for an occupied private dwelling or were imputed. This flag indicates dwellings where no form was received and therefore people needed to be imputed into the dwelling.

Scope

Occupied private dwellings

Categories

Code Category
1 Persons not imputed into dwelling
2 Persons imputed into dwelling
@ Not applicable

Number of categories:  3

Not applicable (@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

This variable is not collected from a direct question on the Census form.

How this variable is created

Most occupied private dwellings return a completed form, so the number of persons is known. This variable identifies those private dwellings where the number of people are imputed.

History and changes

This variable was first used in the 2006 Census. The categories for this item were changed in 2016 due to the changes in dwelling enumeration.

Prior to the 2016 Census, Census Field Officers would collect information on number of males and females in residence during their visits to the dwelling. This information would be recorded in their collector record books and could be used instead of imputation if there was no response from the dwelling. This information was not collected during the 2016 Census and if a dwelling did not respond the only option was to impute the number of males and females based on similar dwellings. This flag is set during Census processing.

No changes have been made for 2021.

Data use considerations

For imputed persons, the following person variables are also imputed:

All other person variables are set to ‘Not stated’ or ‘Not applicable’ for imputed persons.

Non-response rate only applies to data items that directly reflect responses to individual Census form questions. This imputation flag does not have a non-response rate as it is used to indicate whether the number of males and females were imputed during Census processing for applicable households. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Social marital status (MDCP)

Definition

This variable records a person's relationship status based on their current living arrangements. It identifies whether they form a couple relationship with another person living in the same usual residence, and the nature of that relationship.

Scope

Persons aged 15 years and over usually resident and present in the household on Census Night

Categories

Code Category
1 Married in a registered marriage
2 Married in a de facto marriage
3 Not married
@ Not applicable
V Overseas visitor

Number of categories: 5

Not applicable (@) category comprises:

  • Persons aged under 15 years
  • Persons who are visitors (from within Australia)
  • Persons in non-classifiable households
  • Persons in non-private dwellings
  • Persons in migratory, off-shore and shipping SA1s

See Understanding supplementary codes for more information.

Category definitions

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is the person’s current marital status?

How this variable is created

Data on the relationships people have with others in the same dwelling, including de facto partnerships or social marriages, is from the relationship in household question on the Census form. This variable is derived from the Relationship in household (RLHP) and Registered marital status (MSTP) variables.

Relationships are based off a ‘reference person’. This is usually Person 1 on the Census form. Where this isn’t Person 1, a more appropriate person on the form is chosen during coding. For example, an adult is chosen rather than a child, or in the event of multiple family households, additional reference people are chosen.

To further identify some partnerships, additional information is used during data processing. This includes considering people who were recorded as temporarily absent on Census Night, registered marital status, name, and usual residence. Unless a social marriage is identified for a person, they are regarded as 'not married'.

History and changes

A question on Marital status has been asked in every Census since 1911. A separate variable recording de-facto or social marital status was first created in 1986 and has been used in every Census since then.

In 2011, this variable provided data about how a person is married in a 'social way' (i.e. their current living status), regardless of response to the Registered marital status.

In 2016, the processing of Social marital status was changed to align with ABS Family Standards. A social marital status of 'Married in a registered marriage' is defined as a person who lives with another person in a couple relationship and to whom they are also legally married to in a registered marriage.

In December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'. Registered marriages reported in Census data releases will include same-sex couples and opposite sex couples.

In 2021, no changes have been made to the question on the form. However, changes were made to the way responses were processed as all couples can now be in registered marriages.

Data use considerations

Marriage law changes

Registered marriages now include all couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling all couples to legally marry. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'.

No changes have been made to the output categories, however more people will be applicable to category 1 – Married in a registered marriage than in previous censuses. Conversely, less people will be applicable to category 2 - Married in a de facto marriage, and 3 - Not married.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Registered marital status (MSTP)

Definition

This variable records a person’s formal registered marital status. If registered marital status is not stated, it is imputed.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Never married
2 Widowed
3 Divorced
4 Separated
5 Married
@ Not applicable

Number of categories: 6

Not applicable (@) category comprises:

  • Persons aged under 15 years

Question(s) from the Census form

What is the person’s current marital status?

How this variable is created

This variable captures the response from the marital status question on the Census form.

If a person provides more than one response, the first response that appears on the form will be used.

Where a respondent does not answer the Marital status question, marital status is imputed using other information on the form and using a marital status distribution of the population. For more information about imputation, please see imputation in the Census Glossary.

The Imputation flag for registered marital status (IFMSTP) variable indicates if a person's marital status was imputed in the Census.

History and changes

A question on Marital status has been asked in every Census since 1911.

In December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'. Registered marriages reported in Census data releases will include same-sex couples and opposite sex couples.

In 2021, no changes have been made to the question on the form. However, changes were made to the way responses were processed as all couples can now be in registered marriages.

Data use considerations

The Registered marital status variable provides data about a person's current registered marital status, regardless of their reported relationship to another person in their household. During the time of the Census the following instructions were available on the Census website to help people answer the registered marital status question.

  • If the person is a child and therefore not married, select ‘Never married’.
  • If the person is divorced or widowed and has remarried, select ‘Married’.
  • If the person is divorced and has not remarried, select ‘Divorced’, even if the person lives in a de facto relationship.
  • If the person is in a de facto relationship and has not been in a registered marriage, select ‘Never married’.
  • If the person is in a traditional Aboriginal or Torres Strait Islander marriage, select ‘Married’.

Information on de facto relationships is derived from responses to the Relationship in household question and output in the Social marital status (MDCP) variable.

Due to the amendments to the Marriage Act 1961 in 2017, all couples are able to identify as being in registered marriages. While the categories for the variable have not changed, more people are in scope of category 5 - Married.

Using the Imputation Flag for Registered Marital Status (IFMSTP), the non-response rate for Registered marital status (MSTP) was 5.5% in 2021. This is a decrease from 6.9% in 2016. For more information on imputation, see 2021 Census methodology.

Related variables and glossary terms

Number of persons usually resident in dwelling (NPRD)

Definition

This variable counts the number of people who usually reside in an occupied private dwelling. It includes up to three residents who were temporarily absent from the household on Census Night.

Scope

Occupied private dwellings

Categories

Code Category
1 One person
2 Two persons
3 Three persons
4 Four persons
5 Five persons
6 Six persons
7 Seven persons
8 Eight or more persons
@ Not applicable

Number of categories: 9

Not applicable (@) category comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Were there any people away on the night of Tuesday 10 August who usually live in this dwelling?

For each person away, complete the following questions:

How this variable is created

This variable is derived by counting the number of usual residents who were present in the household on Census Night plus the Count of people who were temporarily absent from household (CPAD).

CPAD allows for up to three people to be temporarily absent from the household on Census Night.

History and changes

This variable was first used during the 2011 Census.

No changes have been made for 2021.

Data use considerations

Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Relationship as reported for couples (RLCP)

Definition

This variable records the partner relationship as it is reported for all couples in an occupied dwelling. It shows the number of people who reported their relationship as being 'husband, wife or partner' or 'de facto partner'.

Scope

Persons in Couple families

Categories

Code Category
1 Husband, wife or partner as reported, opposite-sex couple
2 De facto partner as reported, opposite-sex couple
3 Husband, wife or partner as reported, same-sex couple
4 De facto partner as reported, same-sex couple
@ Not applicable
V Overseas visitor

Number of categories: 6

Not applicable (@) category comprises:

  • Lone Parent and Other Families
  • Persons in Non-family/Non-classifiable households
  • Persons in Non-private dwellings
  • Persons in migratory, off-shore or shipping SA1s

See Understanding supplementary codes for more information.

Question(s) from the Census form

Is the person: Male, Female, Non-binary sex

What is the person’s relationship to Person 1/Person 2?

How this variable is created

Data on the relationships people have with others in the same dwelling, including husband/wife or de facto partner, is derived from the Relationship in household and Sex questions on the Census form.

History and changes

This variable was introduced in 2011.

In December 2017, amendments to the Marriage Act 1961 came into effect enabling equality for all couples. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'. Registered marriages reported in Census data releases will include same-sex couples and opposite sex couples only.

In 2021, no changes have been made to the question. However, due to the amendments in 2017, more couples will be able to identify as being in registered marriages.

Data use considerations

Due to the amendments in 2017 to the Marriage Act 1961, more couples may identify in category 3 ‘Husband, wife or partner as reported, same-sex couple’ resulting in higher figures to previous censuses. Conversely, category 4 will decrease.

For this derivation, the binary sex variable (SEXP) is used. Where a respondent has answered the sex question with ‘non-binary sex’ and provided a male or female response, the male or female response will be used to determine the binary sex variable. Otherwise, SEXP will be derived by statistical process using random allocation.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Imputation flag for registered marital status (IFMSTP)
  • Registered marital status (MSTP)
  • Relationship in household (RLHP)
  • Same-sex couple indicator (SSCF)
  • Sex (SEXP)
  • Social marital status (MDCP)
  • Same-sex couple

Relationship in household (including grandchildren) (RLGP)

Definition

This variable describes the relationship of each person in a family to the family reference person. Where a person is not part of a family their relationship to the reference person is described.

This variable is different from the Relationship in household (RLHP) variable, as it:

  • has an extra grandchild type, being ‘Dependent student grandchild’
  • classifies lone grandparents (with no parent-child relationship present in the household) as ‘Lone parent’

This variable can only be used with other related grandparent/grandchild variables. These variables are:

  • Child type (including grandchildren) (CTGP)
  • Grandparent families (FMGF)

It cannot be used with standard family variables.

Scope

Persons present in an occupied private dwelling on Census Night

Categories

Code Category
Husband, Wife or Partner
10 Husband, wife or partner, opposite-sex couple
15 Husband, wife or partner, same-sex couple
Lone parent 
21 Lone parent
Child under 15
31 Natural or adopted child under 15
32 Step child under 15
33 Foster child under 15
34 Grandchild under 15
35 Otherwise related child under 15
36 Unrelated child under 15
Dependent student
41 Natural or adopted dependent student
42 Dependent student step child
43 Dependent student foster child
44 Dependent student grandchild
Non-dependent child
51 Non-dependent natural, or adopted child
52 Non-dependent step child
53 Non-dependent foster child
54 Non-dependent grandchild
Other related individual
61 Brother/sister
62 Father/mother
64 Grandfather/grandmother
65 Cousin
66 Uncle/aunt
67 Nephew/niece
69 Other related individual (nec)
Non-family member
71 Unrelated individual living in family household
72 Group household member
73 Lone person
Non-classifiable
91 Visitor from within Australia
99 Other non-classifiable relationship
Not applicable 
@@ Not applicable
VV Overseas visitor

Number of categories: 31

Not applicable (@) category comprises:

  • Persons in non-private dwellings
  • Persons in migratory, off-shore or shipping SA1s

See Understanding supplementary codes for more information.

An overcount of step children has been identified for some states and territories in the 2021 Census. This will impact some of the category counts for this variable. For more information, read the Data use considerations section below.

Question(s) from the Census form

What is the person's relationship to Person 1/Person 2?

What is the person's date of birth and age?

Is the person: Male; Female; Non-binary sex

Is the person attending a school or any other education institution?

How this variable is created

This variable is created using responses to the relationship in household, sex, age and attendance at an educational institution on the Census form.

Sex (SEXP) is used to determine whether the person is in a same-sex or opposite-sex couple.

Age (AGEP) and Student status (STUP) information is used to determine what type of child the person is:

  • child under 15 (including grandchild under 15)
  • dependent student (including dependent student grandchild)
  • non-dependent child (including non-dependent grandchild)

This variable is similar to Relationship in household (RLHP), but there are three key differences in how Relationship in household (including grandchildren) (RLGP) is processed. The table below outlines these scenarios and how each variable classifies the person.

Scenario How it would be coded in RLGP How it would be coded in RLHP
Person is a dependent student (15-24 years) and has a relationship of grandchild to Person 1/Person 2 44 Dependent student grandchild 63 Non-dependent grandchild
Person is aged over 24 years and has a relationship of grandchild to Person 1/Person 2 54 Non-dependent grandchild 63 Non-dependent grandchild
Person is a lone grandparent (no parent-child relationship present in the household) 21 Lone parent 64 Grandfather/grandmother

Persons temporarily absent on Census Night are also taken into consideration when deriving this variable. This helps with the identification of some families and for distinguishing between lone person and group households.

During data processing, families are identified and created based around a ‘family reference person’. For cases where a child or non-family member was listed as Person 1, a more appropriate person is selected to be the reference person.

History and changes

This variable was first included in 2011.

No changes have been made for 2021.

Data use considerations

Family coding processes

During Census family coding, all children under 15 years of age are allocated a nominal parent if their parent/s are not present in the household on Census Night, or if the parent/s were not reported as temporarily absent. Nominal parents can be the child's sibling, grandparent, aunt/uncle or other related individuals.

Grandparent families are recognised where a grandparent/s is allocated as the nominal parent or where there is only a grandparent-grandchild relationship present in the family and no parent child relationship. When a parent is temporarily absent from the family and their relationship to the child cannot be determined, the relationship cannot be coded. This can result in a small number of children being reported incorrectly as grandchildren when a parent is simply absent on Census Night.

RLGP may not represent caring responsibilities

Users should note that grandparent-grandchild relationships are constructed for the purposes of family coding in order to create a statistical family. It may not be representative of who provides care.

For example, a scenario could be that a 20 year old grandchild lives with her grandmother. She is a full-time student and is dependent on her grandmother. Alternatively, she may have moved in with her grandmother specifically to take care of her. It is important that users do not make assumptions about grandparent families.

Data quality

An overcount of step children and an undercount of natural or adopted children for couple families has been identified for Western Australia, New South Wales, Queensland, Northern Territory and Other Territories. Victoria was partially affected. South Australia, Tasmania and the Australian Capital Territory remain unaffected. Only step children in couple families where the spouse was temporarily absent were impacted. These children have been incorrectly categorised to the step child of male parent or female parent categories for both Child type (CTPP) and Child type (including grandchildren) (CTGP) variables. These children have also been incorrectly categorised to step child under 15, student step child or non-dependent step child for both Relationship in household (RLHP) and Relationship in household (including grandchildren) (RLGP) variables. This also means these families have been incorrectly categorised as step families in the Family blending (FBLF) variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Child type (including grandchildren) (CTGP)
  • Grandparent families (FMGF)
  • Relationship in Household (RLHP)

Relationship in household (RLHP)

Definition

This variable describes the relationship of each person in a family to the family reference person. Where a person is not part of a family, that person's relationship to the household reference person is captured. This is a key variable which enables Census data for people in private dwellings to be output on a family and household basis as well as on a person basis.

Scope

Persons present in the household on Census Night

Categories

Code Category
Husband, Wife or Partner
12 In a registered marriage, opposite-sex couple
13 In a registered marriage, male same-sex couple
14 In a registered marriage, female same-sex couple
15 In de facto marriage, opposite-sex couple
17 In de facto marriage, male same-sex couple
18 In de facto marriage, female same-sex couple
Lone parent
21 Lone parent
Child under 15
31 Natural or adopted child under 15
32 Step child under 15
33 Foster child under 15
34 Grandchild under 15
35 Otherwise related child under 15
36 Unrelated child under 15
Dependent student
41 Natural or adopted dependent student
42 Student step child
43 Student foster child
Non-dependent child
51 Non-dependent natural, or adopted child
52 Non-dependent step child
53 Non-dependent foster child
Other related individual
61 Brother/sister
62 Father/mother
63 Non-dependent grandchild
64 Grandfather/grandmother
65 Cousin
66 Uncle/aunt
67 Nephew/niece
69 Other related individual (nec)
Non-family member
71 Unrelated individual living in family household
72 Group household member
73 Lone person
Non-classifiable
91 Visitor (from within Australia)
99 Other non-classifiable relationship
Supplementary Codes
@@ Not applicable
VV Overseas visitor

Number of categories: 34

Not applicable (@) category comprises:

  • Persons in non-private dwellings
  • Persons in migratory, off-shore or shipping SA1s

See Understanding supplementary codes for more information.

An overcount of step children has been identified for some states and territories in the 2021 Census. This will impact some of the category counts for this variable. For more information, read the Data use considerations section below.

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

What is the person's date of birth and age?

Is the person: Male; Female; Non-binary sex

Is the person attending a school or other education institution?

How this variable is created

This variable is derived from the relationship in household, sex, age and full-time/part-time student questions on the Census form. Persons temporarily absent on Census Night are also taken into consideration when deriving this variable. This helps with the identification of some families and for distinguishing between lone person and group households.

During data processing, families are identified and created based around a ‘family reference person’. For cases where a child or non-family member was listed as Person 1, a more appropriate person is selected to be the reference person.

Sex (SEXP) is used to determine whether the person is in a same-sex or opposite-sex registered marriage or de facto marriage.

Age (AGEP) and Student status (STUP) information is used to determine what type of child the person is:

  • child under 15
  • dependent student
  • non-dependent child

Children classifications

Dependent children are classified if they:

  • form a parent child relationship and are 0-14 years of age
  • are 15-24 years of age and a full-time student (in secondary or tertiary education)

Non-dependent children are classified if they are:

  • children who are 15-24 years of age who are not full-time students
  • children aged 25 years and over

Other children are classified according to their relationships if:

  • children are full-time students aged 15-24 years of age with a child or partner of their own
  • they are aged 25 years and over with a child or partner of their own

History and changes

This variable was first reported in 1911 and every Census since. In the 1986 Census, relationship to Person 1 and/or Person 2 has been asked in respect of each child. This is necessary to classify step children.

The category, 'Other non-classifiable relationship' was added to this variable in 2011. People in occupied private dwellings who were coded to not applicable in previous censuses have been coded to ‘Other non-classifiable relationship’ from 2011.

Registered marriages include same-sex couples and opposite-sex couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling marriage equality for all couples.

In 2021, the category '11 Registered marriage' has been replaced with three categories:

  • 12 In a registered marriage, opposite-sex couple
  • 13 In a registered marriage, male same-sex couple
  • 14 In a registered marriage, female same-sex couple

Data use considerations

Priority is given to identifying those relationships which form a ‘family group’, i.e. partnerships and parent/child relationships. For many households, identifying relationships to assist the coding of family or household structure for that dwelling is quite straightforward.

For dwellings containing blended families or multiple generations of families, the nature of the family structure can be complex. The quality of family data in the Census is partly dependent on people’s ability to describe relationships within the constraints of the questionnaire format required by a Census.

The reporting of relationships to Person 1 can sometimes mean that closer relationships between other people in the household are lost. For example, reporting ‘niece’ (of Person 1) instead of ‘daughter’ of Person 2. In other cases, respondents have reported a relationship that is the reverse of what the question is intended to capture, for example, reporting 'grandparent' instead of 'grandchild'. While in many cases these errors are recognised and rectified, some are automatically accepted and cannot be reviewed.

More complex or unusual relationships are not automatically accepted by the processing system and are presented for manual coding. In some cases, additional information is used to determine relationships, such as:

  • name
  • usual residence
  • marital status
  • number of children given birth

An overcount of step children and an undercount of natural or adopted children for couple families has been identified for Western Australia, New South Wales, Queensland, Northern Territory and Other Territories. Victoria was partially affected. South Australia, Tasmania and the Australian Capital Territory remain unaffected. Only step children in couple families where the spouse was temporarily absent were impacted. These children have been incorrectly categorised to the step child of male parent or female parent categories for both Child type (CTPP) and Child type (including grandchildren) (CTGP) variables. These children have also been incorrectly categorised to step child under 15, student step child or non-dependent step child for both Relationship in household (RLHP) and Relationship in household (including grandchildren) (RLGP) variables. This also means these families have been incorrectly categorised as step families in the Family blending (FBLF) variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Family/household reference person indicator (RPIP)

Definition

This variable identifies a household member as the reference person used in Census coding. The reference person is used to identify the relationships between usual residents of a household. Relationships are defined between the family reference person and all other family members. It has limited statistical value but is included for use in population and dwelling projection models.

Scope

Persons in family, group and lone person households

Categories

Code Category
Reference person in a family household
1 Reference person in primary family
2 Reference person in second family
3 Reference person in third family
Reference person in non-family household
4 Reference person in non-family household
Other
5 Other household member
Supplementary codes
@ Not applicable
V Overseas visitor

Number of categories: 7

Not applicable (@) category comprises:

  • Persons in visitor only households
  • Persons in other non-classifiable households
  • Persons in non-private dwellings
  • Persons in migratory, off-shore and shipping SA1s

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

How this variable is created

This variable is derived from the Relationship in household question on the Census form.

Relationships are based off a ‘reference person’. This is usually Person 1 on the Census form. Where this isn’t Person 1, a more appropriate person on the form is chosen during coding. This is based on age, marital status, and relationship considerations. A reference person must be a usual resident of the dwelling aged 15 years and over, and present on Census Night. For example, an adult is chosen rather than a child, or in the event of multiple family households, additional reference people are chosen.

In multiple family households, there is a reference person for each family. The reference person for the primary family is usually defined as the household reference person. The identification of a family reference person allows each family within a dwelling to be treated as a separate entity for tabulation purposes.

For group households, the first person on the form who meets the criteria will become the reference person. For visitor only households and households with no person present aged 15 years and over, the household is considered 'non-classifiable' and no reference person is assigned.

History and changes

This variable was first reported in 1911 and every Census year since.

No changes have been made in 2021.

Data use considerations

This variable is not an indication that a person is 'head of the household'.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Sex of lone parent (SLPP)

Definition

This variable indicates the sex, either male or female, of lone parents present in the household on Census Night.

Scope

Lone parents present in the household on Census Night

Categories

Code Category
1 Male lone parent
2 Female lone parent
@ Not applicable
V Overseas visitor

Number of categories: 4

Not applicable (@) category comprises:

  • Husbands, wives or partners
  • Children
  • Dependent students
  • Other related individuals
  • Non-family members
  • Visitors (from within Australia)
  • Persons in other non-classifiable households
  • Persons in non-private dwellings
  • Persons in migratory, off-shore or shipping SA1s

See Understanding supplementary codes for more information.

Question(s) from the Census form

Is the person: Male, Female

What is the person’s relationship to Person 1/Person 2?

For each person away, complete the following questions:

How this variable is created

This variable is derived from responses to the Sex and Relationship in household questions on the Census form. In a small proportion of cases, responses to Persons temporarily absent questions are also used.

Sex is captured automatically from mark box responses on the form. If a form was received but there was no response, sex is imputed. Where a respondent selected 'non-binary sex' for the Sex question, a 'male' or 'female' response is allocated using statistical processes. More information is available in the Sex (SEXP) variable. 

History and changes

This variable was first introduced in 2011.

No changes have been made in 2021.

Data use considerations

Sex of lone parent (SLPP) can provide useful information when cross-classified against variables such as Labour force status (LFSP) and Occupation (OCCP).

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Spouse/partner indicator (SPIP)

Definition

This variable records the usually resident husband/wife/partner or de facto partner in a couple family. It identifies the husband/wife/partner of each family reference person counted in the same family on Census Night, or reported as temporarily absent on Census Night.

Scope

Couple families present in the household on Census Night

Categories

CodeCategory
1Family reference person
2Spouse/partner
@Not applicable
VOverseas visitor

Number of categories: 4

Not applicable category comprises:

  • Other families
  • Non-family/non-classifiable households
  • Group household member
  • Lone person
  • Other non-classifiable relationship
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s
  • Visitor (from within Australia)

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

How this variable is created

This variable is derived from the the following variables:

  • Family/household reference person indicator (RPIP)
  • Relationship in household (RLHP)

Where a person is both the reference person in the family (RPIP category 1, 2 or 3) and is in a registered or de facto marriage they are coded to '1 Family reference person'.

Where a person is not the reference person in the family (RPIP category 5) and is in a registered or de facto marriage they are coded to '2 Spouse/partner'.

History and changes

This variable is new for 2021.

Data use considerations

A family is based off a ‘reference person’. This is usually Person 1 on the Census form. Where this isn’t Person 1, a more appropriate person on the form is chosen during coding. This is based on age, marital status, and relationship considerations. A reference person must be a usual resident of the dwelling aged 15 years and over, and present on Census Night. For example, an adult is chosen rather than a child, or in the event of multiple family households, additional reference people are chosen.

This variable identifies the spouse or partner of each family reference person counted in the same family on Census Night or reported as temporarily absent on Census Night. The couple may be in a registered or de facto marriage.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Location of spouse (SPLF)

Definition

This variable records whether the usually resident husband/wife/partner or de facto partner is present or temporarily absent from a couple family on Census Night.

Scope

Couple families in family households

Categories

Code Category
1 Present
2 Temporarily absent
@ Not applicable 

Number of categories: 3

Not applicable (@) category comprises:

  • One parent families
  • Other families
  • Non-family/non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

For each persons away, complete the following questions:

How this variable is created

This variable is derived from the Persons temporarily absent question on the Census form.

History and changes

This variable was first introduced in 1986.

No changes have been made for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households.

Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household the additional people are unable to be included on the form.

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Same-sex couple indicator (SSCF)

Definition

This variable uses relationship information to indicate whether a family are a same-sex couple family.

Scope

Couple families

Categories

Code Category 
1 Male same-sex couple
2 Female same-sex couple
3 Opposite-sex couple
@ Not applicable

Number of categories: 4

Not applicable (@) category comprises:

  • One parent families
  • Other families
  • Lone person households
  • Group households
  • Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is Person 2's relationship to Person 1?

Is the person: Male; Female; Non-binary sex

How this variable is created

This variable uses responses from the Relationship in household and Sex questions on the Census form.

Sex is captured automatically from mark box responses on the form. If a form was received but there was no response, sex is imputed. Where a respondent selected 'non-binary sex' for the Sex question, a 'male' or 'female' response is allocated using statistical processes. More information is available in the Sex (SEXP) variable. 

The responses are used in family coding where a person is classified as a 'partner in a de facto marriage' or ‘husband, wife or partner’. Persons temporarily absent are also taken into account. This information is then used to derive the Same-sex couple indicator (SSCF).

History and changes

This variable was first introduced in 2011.

For 2021 this variable includes same-sex marriages.  Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling all couples to legally marry. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'.

Data use considerations

Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Relationship as reported for couples (RLCP
  • Relationship in household (RLHP)
  • Family

Housing

Mnemonic  Variable  Release  
BEDD Number of bedrooms in private dwelling  June 2022
BEDRD Number of bedrooms in private dwelling (ranges)  June 2022
DLOD Dwelling location June 2022
DWIP Dwelling type indicator for persons April 2023
DWTD Dwelling type June 2022
HOSD Housing suitability June 2022
LLDD Landlord type  June 2022
MAID Mortgage affordability indicator June 2022 New
MRED Mortgage repayments (monthly) dollar values June 2022
MRERD Mortgage repayments (monthly) ranges  June 2022
NPDD Type of non-private dwelling June 2022
OPGP Homelessness operational groups April 2023
RAID Rent affordability indicator June 2022 New
RLNP Residential status in a non-private dwelling June 2022
RNTD Rent (weekly) dollar values June 2022
RNTRD Rent (weekly) ranges June 2022
STRD Dwelling structure June 2022
TEND Tenure type June 2022
TENLLD Tenure and landlord type  June 2022

Number of bedrooms in private dwelling (BEDD)

Definition

This variable records the count of bedrooms in each occupied private dwelling. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.

This variable is available as a single Count of all bedrooms (BEDD) and in ranges (BEDRD).

In standard Census products (Quickstats, Community Profiles), number of bedrooms data are generally published in the range categories for BEDRD.

Scope

Occupied private dwellings

Categories

Code Category
00 None (includes studio apartments or bedsitters)
01-29 1 to 29 bedrooms singly
30 30 or more bedrooms
&& Not stated
@@ Not applicable

Number of categories:  33

Not applicable (@@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

How many bedrooms are there in this dwelling?

How this variable is created

This variable is created based on responses given for the Number of bedrooms question on the Census form. The responses are captured automatically from written numeric responses, or from the 'None' mark box on the paper form.

Number of bedrooms in private dwelling codes numeric responses from 0 to 29 bedrooms as reported and responses of 30 or more bedrooms are coded into the grouped category '30 or more bedrooms'.

History and changes

A question on the number of rooms/bedrooms has been included in every Australian Census since 1911. However, the question relating to number of bedrooms in a private dwelling was first asked in the 1976 Census.

The 1986 Census form asked householders to indicate the numbers of various room types within the dwelling. Only the number of bedrooms was retained in the computer record. The 1991 and 1996 censuses collected data on the number of bedrooms only.

Since the 2001 Census, respondents have been asked to write in the number of bedrooms in their dwelling rather than mark a response category. An additional 'None' mark box was added to the paper form in 2006.

In 2021, the category has been reworded from ‘None (includes bedsitters)’ to ‘None (includes studio apartments or bedsitters)’.

Data use considerations

Number of bedrooms data is commonly used to provide an indication of:

  • Dwelling size
  • Overcrowding by calculating occupancy ratios (i.e. the number of people per room/bedroom).

When calculating occupancy ratios, it is preferable to use the number of people usually resident in the home, rather than the number of people present in the household on Census Night. This data can be used with Dwelling structure (STRD) and Dwelling location (DLOD) to provide more context to the number of bedrooms. 

The data may include a small proportion of dwellings with unusually high number of bedrooms, as all numeric responses are accepted as reported.

The non-response rate for Number of bedrooms in private dwelling (BEDD) was 5.4% in 2021. This is a decrease from 7.4% in 2016. 

Related variables and glossary terms

  • Number of bedrooms in private dwelling (ranges) (BEDRD)
  • Residential status in a non-private dwelling (RLNP)
  • Housing suitability (HOSD)
  • Dwelling structure (STRD)
  • Dwelling location (DLOD)
  • Dwelling type (DWTD)

Useful links

Number of bedrooms in private dwelling (ranges) (BEDRD)

Definition

This variable records the number of bedrooms in each occupied private dwelling in ranges. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.

In standard Census products (Quickstats, Community Profiles) number of bedrooms data is generally published in ranges.

Number of bedrooms is also available as a single count of all bedrooms (BEDD).

Scope

Occupied private dwellings

Categories

Code Category
0 None (includes studio apartments or bedsitters)
1 One bedroom
2 Two bedrooms
3 Three bedrooms
4 Four bedrooms
5 Five bedrooms
6 Six bedrooms or more
& Not stated
@ Not applicable

Number of categories:  9

Not applicable (@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

How many bedrooms are there in this dwelling?

How this variable is created

This variable is created based on responses given for the Number of bedrooms question on the Census form. The responses are captured automatically from written numeric responses, or from the 'None' mark box on the paper form.

The Number of bedrooms in private dwelling (ranges) (BEDRD) variable groups responses to this question. Responses from 0 to 5 are reported singly while responses for 6 or more bedrooms are coded into the grouped category of '6 or more bedrooms'.

History and changes

A question on the number of rooms/bedrooms has been included in every Australian Census since 1911. However, the question relating to number of bedrooms in a private dwelling was first asked in the 1976 Census.

The 1986 Census form asked householders to indicate the numbers of various room types within the dwelling. Only the number of bedrooms was retained in the computer record. The 1991 and 1996 Censuses collected data on the number of bedrooms only.

Since the 2001 Census, respondents have been asked to write in the number of bedrooms in their dwelling rather than mark a response category. An additional 'None' mark box was added to the paper form in 2006.

In 2021, the category has been reworded from ‘None (includes bedsitters)’ to ‘None (includes studio apartments or bedsitters)’.

Data use considerations

Number of bedrooms data is commonly used to provide an indication of:

  • Dwelling size
  • Overcrowding by calculating occupancy ratios (i.e. the number of people per room/bedroom).

When calculating occupancy ratios, it is preferable to use the number of people usually resident in the home, rather than the number of people present in the household on Census Night. This data can be used with Dwelling structure (STRD) and Dwelling location (DLOD) to provide more context to the number of bedrooms. 

The data may include a small proportion of dwellings with unusually high number of bedrooms, as all numeric responses are accepted as reported.

This variable is derived from the Number of bedrooms in a private dwelling (BEDD) variable. The non-response rate for Number of bedrooms in private dwelling (BEDD) was 5.4% in 2021. This is a decrease from 7.4% in 2016. 

Related variables and glossary terms

  • Number of bedrooms in private dwelling (BEDD)
  • Residential status in a non-private dwelling (RLNP)
  • Housing suitability (HOSD)
  • Dwelling structure (STRD)
  • Dwelling locations (DLOD)
  • Dwelling type (DWTD)

Useful links

Dwelling location (DLOD)

Definition

This variable describes the location of dwellings. It classifies them into large communal locations, such as caravan parks and marinas. The majority of Private dwellings are in the ‘other’ category because they are not located within these types of communal locations.

The Dwelling structure for Private dwellings at these locations can be identified by using the variable Dwelling structure (STRD).

The term ‘residential park’ refers to caravan parks with predominantly long-term residents.

Scope

Private dwellings

Categories

Code Category
1 Caravan/residential park or camping ground
2 Marina
3 Manufactured home estate
4 Retirement village (self-contained)
5 Other
@ Not applicable

Number of categories:  6

Not applicable (@) category comprises:

  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

This variable is not collected from a question on the Census form.

How this variable is created

Information on Dwelling location is mainly sourced from the Address Register.

Dwelling location data was recorded by ABS Address Canvassing Officers in the lead up to the 2016 Census as a once-off part of establishing the Address Register as a mail-out frame for designated areas. Dwelling location was also verified or collected by ABS Field Officers during the 2016 and 2021 Census collection periods.

If the Dwelling location can not be determined it is set to 'Other'. Most Private dwellings fall into the 'Other' category for this data item.

History and changes

Collection methods 

This variable was introduced for the 1996 Census to cater for changes in the scope of Private dwellings.

For the 2006 and 2011 censuses, information regarding this variable was collected by ABS Field officers rather than being included on the Census form.

Dwelling location has been sourced from the ABS Address Register since 2016. It is verified during field and office processes.

Categories

From 2006, the description for category 1 changed from 'Caravan park' to 'Caravan/residential park or camping ground', and the description for category 4 changed from 'Accommodation for the retired or aged (self-care)' to 'Retirement village (self-contained)'.

Data use considerations

As this variable is mainly determined by the ABS Address Register, the risk of misclassifying is low.

While the misclassification of Dwelling location (DLOD) is rare, on occasion identification and amendments were made to correct a small number of dwellings. In rare cases, an establishment may fall into more than one category of dwelling location, such as a retirement village that contains manufactured homes, or a residential park that is made up of a mixture of caravans and manufactured homes. However, a dwelling can only be allocated to a single category and in these cases a determination was made during Census processing of the most appropriate category for the dwellings in question. 

Dwelling location (DLOD) does not have a non-response rate as it is sourced from the Address Register, or during Census enumeration or Processing.

Related variables and glossary terms

Useful links

Dwelling type indicator for persons (DWIP)

Definition

This variable indicates whether a person was enumerated in a private or a non-private dwelling. It is included in the microdata products as a way of allowing users to more easily distinguish between those people enumerated in private dwellings and those enumerated in non-private dwellings without having to link to the household file.

A dwelling is a structure which is intended to have people live in it, that is it was established for short-stay or long-stay accommodation.

Scope

All persons enumerated within an occupied private or non-private dwelling.

As this is a person indicator, unoccupied private dwellings are out of scope.

Categories

 
Code Category
1 Enumerated in an occupied private dwelling
2 Enumerated in a non-private dwelling
3 Enumerated in other dwellings

Number of categories: 3

Category definitions

Question(s) from the Census form

This variable is not collected from a question on the Census form.

How this variable is created

This variable is derived from the Dwelling Type (DWTD) variable.

The correspondence between the two variable's categories is highlighted below.

 
DWTD DWIP
1 Occupied private dwellings 1 Enumerated in an occupied private dwelling
2 Unoccupied private dwellings Out of scope
3 Non-private dwellings 2 Enumerated in a non-private dwelling
4 Migratory 3 Enumerated in other dwellings
5 Off-shore 3 Enumerated in other dwellings
6 Shipping 3 Enumerated in other dwellings

 

History and changes

This indicator has been included in every Census basic and detailed microdata product since 2006. There have been no changes made to this variable.

Data use considerations

A data error has been discovered with this variable, there is a small number of people with incorrectly coded migratory, off-shore, or shipping statuses.

The ABS does its best to have accurate Dwelling type information. However it can sometimes be difficult to determine Dwelling type for dwellings with mixed occupancy or where we were not able to make contact with the residents to confirm the type of dwelling.

Examples of mixed occupancy

 
  Private dwelling Non-private dwelling
Self-contained apartments Long-term private apartment accommodation Short-term hotel-style accommodation
Aged care and retirement villages Private self-contained dwellings Communal accommodation with supported nursing care

 

Examples of misclassified dwelling types

Some non-private dwellings such as group homes for the disabled or convents and monasteries may not be easily identifiable as Non-private dwellings and may be treated as Private dwellings.

There may be misclassification between Unoccupied private dwellings and out-of-scope Private dwellings; non-residential premises and construction sites may have dwellings that are not habitable but are identified as Unoccupied private dwellings.

Related variables and glossary terms

Useful links

Dwelling type (DWTD)

Definition

This variable classifies dwellings into the following types:

  • Private dwellings (occupied and unoccupied)
  • Non-private dwellings
  • Migratory, off-shore and shipping areas

A dwelling is a structure which is intended to have people live in it, that is it was established for short-stay or long-stay accommodation.

The definitions for the dwellings that make up the following categories, are described below.

Scope

All dwellings

Categories

Code Category
1 Occupied private dwellings
2 Unoccupied private dwellings
3 Non-private dwellings
4 Migratory
5 Off-shore
6 Shipping

Number of categories: 6

Category definitions

Question(s) from the Census form

This variable is not collected from a question on the Census form.

How this variable is created

This variable is either inherited from the existing ABS Address Register (see ABS Address Register, User’s Guide) or created by Census field staff on a case by case basis. Census field staff check with some areas and establishments prior to, and after Census Night to confirm dwelling information. New dwellings may be discovered through this process and added to the the count of Census dwellings, along with any updates to dwelling types for existing addresses.

The occupancy for the majority of dwellings in Australia is determined by the returned Census form:

  • a form with one or more people present on Census Night is set to 'occupied'
  • a form with all usual residents away on Census Night is set to 'unoccupied'.

Dwellings from which no form is received have their occupancy determined by using a number of sources of information, including:

  • ‘not at home’ forms submitted by residents through ABS online services
  • residents who contacted the ABS with information
  • intelligence from Census field staff making follow up visits to dwellings after Census Night
  • other requests and point of contacts with dwellings.

Where these methods cannot determine dwelling occupancy, outcomes from a newly introduced Census Occupancy Model are used.

History and changes

This topic has been included in every Census release.

Since 2006:

  • This data has been collected by ABS field officers rather than as part of the Census form.
  • The Off-shore category was implemented for off-shore rigs and drilling platforms such as those off northern Australia. It also included people enumerated aboard ships in Australian waters, but since then, these people have been included as enumerated in the Shipping category.
  • Unoccupied dwellings in self-contained retirement villages have been coded to Unoccupied private dwelling.

Data use considerations

A data error has been discovered with this variable, there is a small number of people with incorrectly coded migratory, off-shore, or shipping statuses.

The ABS does its best to have accurate Dwelling type information. However it can sometimes be difficult to determine Dwelling type for dwellings with mixed occupancy or where we were not able to make contact with the residents to confirm the type of dwelling.

Dwelling Type (DWTD) does not have a non-response rate as it is sourced from the ABS Address Register or created during Census enumeration. 
 

Examples of mixed occupancy

  Private dwelling Non-private dwelling
Self-contained apartments Long-term private apartment accommodation Short-term hotel-style accommodation
Aged care and retirement villages Private self-contained dwellings Communal accommodation with supported nursing care

 

Examples of misclassified dwelling types

Some non-private dwellings such as group homes for the disabled or convents and monasteries may not be easily identifiable as Non-private dwellings and may be treated as Private dwellings.

There may be misclassification between Unoccupied private dwellings and out-of-scope Private dwellings; non-residential premises and construction sites may have dwellings that are not habitable but are identified as Unoccupied private dwellings.

Related variables and glossary terms

Housing suitability (HOSD)

Definition

This variable is a measure of housing utilisation based on a comparison of the number of bedrooms in a dwelling with a series of household demographics, such as:

  • the number of usual residents
  • their relationship to each other
  • age
  • sex.

The criteria are based on the Canadian National Occupancy Standard. It can be used to identify if a dwelling is either under or over utilised.

Scope

Occupied private dwellings

Categories

Code Category
01 Four or more extra bedrooms needed
02 Three extra bedrooms needed
03 Two extra bedrooms needed
04 One extra bedroom needed
05 No bedrooms needed or spare
06 One bedroom spare
07 Two bedrooms spare
08 Three bedrooms spare
09 Four or more bedrooms spare
10 Unable to determine
&& Not stated
@@ Not applicable

Number of categories: 12

Not applicable (@@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s
  • Visitor only and Non-classifiable households

Question(s) from the Census form

Is the person: Male, Female, Non-binary sex

What is the person’s date of birth and age?

What is the person’s relationship to Person 1/Person 2?

How many bedrooms are there in this dwelling?

How this variable is created

This variable is derived from responses to housing and household demographic questions from the Census form. The criteria used to derive the variable are based on the Canadian National Occupancy Standard for housing appropriateness and are sensitive to both household size and composition. The measure assesses the bedroom requirements of a household by specifying that: 

  • there should be no more than two people per bedroom
  • children less than five years of age of different sexes may reasonably share a bedroom
  • children less than 18 years of age and of the same sex may reasonably share a bedroom
  • single household members 18 years and over and parents or couples should have a separate bedroom
  • a lone person household may reasonably occupy a bedsitter or studio.

The Housing suitability variable compares the number of bedrooms required with the actual number of bedrooms in the dwelling. It can be used to analyse the under or over utilisation of dwellings and the dwelling's suitability for the resident household.

History and changes

The data has been available through customised data requests prior to the 2016 Census. In 2016, this variable was first reported.

No changes have been made for 2021.

Data use considerations

There is no single standard measure for Housing suitability. However, the Canadian National Occupancy Standard is widely used in Australia and internationally.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Landlord type (LLDD)

Definition

This variable records the landlord type of rented dwellings. It applies to all occupied private dwellings that are being rented, including being occupied rent free. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.

Rented dwellings are classified in Tenure type (TEND).

Scope

Occupied private dwellings being rented (including being occupied rent free)

Code Category
10 Real estate agent
20 State or territory housing authority
21 Community housing provider
31 Person not in the same household - parent/other relative
32 Person not in the same household - other person
40 Owner/Manager of a residential park (including caravan parks and manufactured home estates)
51 Employer – Government (includes Defence Housing Australia)
52 Employer – other employer
&& Not stated
@@ Not applicable

Number of categories:  10

Not applicable (@@) category comprises:

  • Occupied private dwellings with Tenure type (TEND) of owned outright, owned with a mortgage, purchased under a shared equity scheme, occupied under a life tenure scheme, other and not stated
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

Who is this dwelling being rented from?

How this variable is created

This variable is created based on responses from the Tenure type and Landlord type questions on the Census form.

Only one response can be given for this item. If respondents provide more than one response to this question in error, the first response is used.

History and changes

The question about landlord type was first asked in the 1954 Census and has been included in every subsequent Census.

In 1971, the response categories increased to three: State Housing Authority; Employer; and Other landlord. The number of response categories continued to increase from three (from 1971 until 1991) to seven (in 1996 and 2001) and then to eight for subsequent censuses.

For 2021, instructional text has been added for the Community housing provider category and the response order changed to place this category closer to the top. Additionally, the following categories have been amended as follows:

2016 2021
Code Category Code Category
60 Housing co-operative/community/church group 21 Community housing provider
40 Residential park (includes caravan parks and marinas) 40 Owner/manager of a residential park (includes caravan parks and manufactured home estates)
51 Employer - Government (includes Defence Housing Authority) 51 Employer - Government (includes Defence Housing Australia) 

Data use considerations

Landlord type allows data to be produced for studies of the socioeconomic characteristics of different tenants. It also allows for comparisons with residents in privately owned accommodation.

This data can be used with Dwelling structure (STRD) and Dwelling location (DLOD) to provide more context to the Landlord type.

The non-response rate for Landlord type (LLDD) was 0.9% in 2021. This is a decrease from 1.8% in 2016. 

Related variables and glossary terms

Useful links

Mortgage affordability indicator (MAID)

Definition

This variable allocates an in scope household to one of two categories:

  • mortgage repayments less than or equal to 30% of household income
  • mortgage repayments more than 30% of household income.

Scope

Occupied private dwellings owned with a mortgage or purchased under a shared equity scheme  

Categories

Code Category
1 Households where mortgage repayments are less than or equal to 30% of household income
2 Households where mortgage repayments are more than 30% of household income
3 Unable to be determined
@ Not applicable

Number of categories: 4

Not applicable (@) category comprises:

  • Unoccupied private dwellings
  • Visitor only households
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable dwellings
  • Tenure type (TEND) - Owned outright, Rented, Occupied rent-free, Occupied under a life tenure scheme, Other tenure type, Not stated, Not applicable

Question(s) from the Census form

What is the total of all income the person usually receives?

Is this dwelling: (please open this section to view response categories)

How much does your household pay for this dwelling?

How this variable is created

The Mortgage affordability indicator is calculated by dividing Mortgage repayments (MRED) by an imputed household income. Both variables are expressed as single dollar values. The calculation determines whether mortgage repayments are:

  • less than or equal to 30% of household income
  • more than 30% of household income

The Census collects the income of each person in the household aged 15 years or over in ranges. To sum these personal income values to calculate a household income, a specific dollar amount is allocated to each person. A median dollar value for each range, derived using data from the Survey of Income and Housing, is used for this purpose. For more information about this survey see the Survey of Income and Housing, User Guide. 

Mortgage repayments are already collected in a single dollar amount.

Mortgage affordability indicator is coded to ‘Unable to be determined’ where:

  • Mortgage (monthly) dollar value (MRED) is Not stated
  • at least one resident aged 15 and over was either not at home on Census Night or did not state their Total personal income (INCP)
  • no residents aged 15 and over who were at home on Census Night stated their Total personal income (INCP)

History and changes

This is a new variable for 2021. QuickStats will use the Mortgage affordability indicator variable, and therefore comparisons shouldn’t be made with previous Census data in QuickStats.

In previous censuses, a measure of mortgage affordability could only be obtained from QuickStats. This measure was different from MAID as it used all occupied private dwellings whether owned outright, owned with a mortgage or rented, as the denominator population.

MAID only applies to dwellings owned with a mortgage or purchased under a shared equity scheme, which is a more accurate representation of the population to measure mortgage affordability.

Data use considerations

As housing costs are usually a major component of total living costs they are often analysed in relation to income and referred to as a housing affordability ratio. However, comparisons using these measures are subject to certain limitations.

As described above, the Census collects personal income in ranges. For this purpose, a single median value for each income range is calculated. It should also be noted that individuals may tend to understate their incomes on the Census, compared with the amounts that would be reported in surveys designed specifically to measure incomes. As a result of these limitations, the use of Census imputed incomes in the calculation of each household’s housing costs to income ratio may significantly overstate the true proportion of households with mortgage repayments greater than 30% of income.

Mortgage repayments may be greater than 30% of income for a number of reasons, and do not necessarily indicate being in financial stress.

  • Mortgage repayments normally include both an interest component and a principal or capital component. For some analyses, repayments of principal may be considered a form of saving rather than a housing cost.
  • High mortgage repayments may reflect a choice to buy a more expensive home, for example in an area that is close to their place of employment, or a preference for a relatively high standard of housing compared with other consumption possibilities.
  • Some households choose to pay more than the minimum required payment, to pay off a mortgage faster.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Tenure type (TEND)
  • Total personal income (weekly) (INCP)
  • Mortgage repayment (monthly) (MRED)

Mortgage repayments (monthly) dollar values (MRED)

Definition

This variable records the monthly mortgage repayments being paid by a household for the dwelling in which they were counted on Census Night. It is applicable to occupied private dwellings. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.

The Census collects this information in single dollar values. For practical purposes this information is recoded to a specific number of ranges for standard Census products (such as QuickStats and Community Profiles). The ranges are listed in Mortgage repayments (monthly) ranges (MRERD).

Scope

Occupied private dwellings that are owned with a mortgage (including being purchased under a shared equity scheme)

Categories

Code Category
0000 - 9999 $0 to $9,999 singly
&&&& Not stated
@@@@ Not applicable

Number of categories:  10,002

Not applicable (@@@@) category comprises:

  • Occupied private dwellings with Tenure type (TEND) of owned outright, rented, being occupied rent free, being occupied under a life tenure scheme, other and not stated
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

How much does your household pay for this dwelling?

How this variable is created

Data for this variable is derived from the Tenure type and Housing costs questions on the Census form. Household repayments data is automatically captured from numeric text responses.

History and changes

The question relating to Mortgage repayments (monthly) dollar values was first asked for the 1976 Census, though in some previous years this variable has been referred to as ‘Housing loan repayments (monthly)’. Since 2011, Nil repayments is recorded as $0 in Mortgage repayments (monthly) dollar values and as a separate category called ‘Nil repayments’ in Mortgage repayments (monthly) ranges. Prior to 2011 a response of nil was coded as ‘Not Stated’.

No changes have been made for 2021.

Data use considerations

The data in these variables is important for the analysis of home ownership and for providing benchmark data for evaluating housing needs, housing finance and housing demand.

Processing Mortgage repayments (monthly) dollar values is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. Some high or low values when combined with income may form unlikely combinations. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by the respondents on the form.

The non-response rate for Mortgage repayments (monthly) dollar values (MRED) was 6.0% in 2021. This is an increase from 4.2% in 2016.

Related variables and glossary terms

Useful links

Mortgage repayments (monthly) ranges (MRERD)

Definition

This variable records the mortgage repayments being paid by a household in ranges. It is applicable to occupied private dwellings on Census Night. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.

For practical purposes this information is recoded to a specific number of ranges for standard Census products (such as QuickStats and Community Profiles).

The Census also collects this information in single dollar values (MRED).

Scope

Occupied private dwellings that are owned with a mortgage (including being purchased under a shared equity scheme)

Categories

Code Category
01 Nil repayments
02 $1-$149
03 $150-$299
04 $300-$449
05 $450-$599
06 $600-$799
07 $800-$999
08 $1,000-$1,199
09 $1,200-$1,399
10 $1,400-$1,599
11 $1,600-$1,799
12 $1,800-$1,999
13 $2,000-$2,199
14 $2,200-$2,399
15 $2,400-$2,599
16 $2,600-$2,799
17 $2,800-$2,999
18 $3,000-$3,499
19 $3,500-$3,999
20 $4,000-$4,999
21 $5,000 and over
&& Not stated
@@ Not applicable

Number of categories:  23

Not applicable (@@) category comprises:

  • Occupied private dwellings with Tenure type (TEND) of owned outright, rented, being occupied rent free, being occupied under a life tenure scheme, other and not stated
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

How much does your household pay for this dwelling?

How this variable is created

Data for this variable is derived from the Tenure type and Housing costs questions on the Census form. Household repayments data is automatically captured from numeric text responses.

History and changes

The question relating to Mortgage repayments (monthly) dollar values was first asked for the 1976 Census, though in some previous years this variable has been referred to as ‘Housing loan repayments (monthly)’. Since 2011, Nil repayments is recorded as $0 in Mortgage repayments (monthly) dollar values and as a separate category called ‘Nil repayments’ in Mortgage repayments (monthly) ranges. Prior to 2011 a response of nil was coded as ‘Not Stated’.

No changes have been made for 2021.

Data use considerations

The data in these variables is important for the analysis of home ownership and for providing benchmark data for evaluating housing needs, housing finance and housing demand.

Processing Mortgage repayments (monthly) dollar values is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. Some high or low values when combined with income may form unlikely combinations. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by the respondents on the form.

This variable is derived from Mortgage repayments (monthly) dollar values (MRED). The non-response rate for Mortgage repayments (monthly) dollar values (MRED) was 6.0% in 2021. This is an increase from 4.2% in 2016.

Related variables and glossary terms

  • Mortgage repayments (monthly) dollar values (MRED)
  • Dwelling structure (STRD)
  • Household composition (HHCD)
  • Tenure type (TEND)
  • Mortgage affordability indicator (MAID)
  • Rent affordability indicator (RAID)

Useful links

Type of non-private dwelling (NPDD)

Definition

This variable classifies the Type of non-private dwelling in which people were counted on Census Night. Non-private dwellings (NPDs) are establishments which provide a communal and often short-term type of accommodation.

'Other and non-classifiable' includes all other types of NPDs not listed, including ski lodges and youth or backpacker hostels.

Scope

Non-private dwellings

Categories

Code Category
01 Hotel, motel, bed and breakfast
02 Nurses’ quarters
03 Staff quarters
04 Boarding house, private hotel
05 Boarding school
06 Residential college, hall of residence
07 Public hospital (not psychiatric)
08 Private hospital (not psychiatric)
09 Psychiatric hospital or institution
10 Hostel for the disabled
11 Nursing home
12 Accommodation for the retired or aged (not self-contained)
13 Hostel for homeless, night shelter, refuge
14 Child care institution
15 Corrective institution for children
16 Other welfare institution
17 Prison, corrective institution for adults
18 Immigration detention centre
19 Convent, monastery, etc
20 Other and non-classifiable
&& Not stated
@@ Not applicable

Number of categories:  22

Not applicable (@@) category comprises:

  • Occupied and unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

This variable is not collected from a question on the Census form.

How this variable is created

The types of Non-private dwelling is sourced from the ABS Address Register. For information on how the Address Register is maintained, refer to ABS Address Register, Users' Guide.

It is reviewed by Census enumeration management staff prior to Census Night and verified by Census Field Officers after calls or visits to the establishments. Non-private dwellings can also be created or have their details modified throughout this time.

History and changes

Information on the types of Non-private dwellings that people are located in on Census Night has been collected in every Census since 1911.

Since the 2006 Census, additional response options were introduced to identify immigration detention centres, youth or backpacker hostels and ski lodges.

Since 2016, NPD type is sourced from the ABS Address Register and is updated as needed from information collected by ABS field officers during enumeration.

The output categories for this classification were unchanged for 2021.

Data use considerations

Hotels (01) and private hotels (04) are categorised differently within Type of non-private dwelling (NPDD). This is mainly because of differences in length of residency, service provision, and how the hotel or private hotel classifies itself.

‘Accommodation for the retired or aged (not self-contained)’ (12) is accommodation where meals are provided.

Self-contained retirement villages where the residents live independently are not classified as Non-private dwellings. These are Occupied private dwellings and can be identified by the variable Dwelling location (DLOD).

'Other welfare institutions' (16) have increased in 2021. Address lists are sourced from state and territory governments and non-government organisations to identify accommodation for the homeless. These lists were more comprehensive in the 2021 Census than in previous censuses.

The 2021 Census also requested tenure information from these list providers so that addresses could be more accurately classified as 'Hostels for the homeless' (13) or 'Other welfare institutions' (16). Short-term accommodation was coded as 'Hostels for the homeless' (13) while medium-term accommodation/transitional housing and long-term accommodation was coded as 'Other welfare institutions' (16). 

The coding is based on the Australian Institute of Health and Welfare (AIHW) definition of Supported accommodation type that also informs the Supported Accommodation flag that indicates homelessness.

Type of non-private dwelling (NPDD) does not have a non-response rate as it is sourced from the ABS Address Register

Related variables and glossary terms

Rent affordability indicator (RAID)

Definition

This variable allocates an in scope household to one of two categories:

  • rent payments less than or equal to 30% of household income
  • rent payments more than 30% of household income.

Scope

Occupied private dwellings being rented

Categories

Code Category
1 Households where rent repayments are less than or equal to 30% of household income
2 Households where rent repayments are more than 30% of household income
3 Unable to be determined
@ Not applicable

Number of categories:  4

Not applicable (@) category comprises:

  • Unoccupied private dwellings
  • Visitor only households
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable dwellings
  • Tenure type (TEND) - Owned outright, Occupied rent-free, Occupied under a life tenure scheme, Other tenure type, Not stated, Not applicable

Question(s) from the Census form

What is the total of all income the person usually receives?

Is this dwelling: (please open this section to view response categories)

How much does your household pay for this dwelling?

How this variable is created

The Rent affordability indicator is calculated by dividing rent payments (RNTD) by an imputed household income. Both variables are expressed as single dollar values. The calculation determines whether rent payments are:

  • less than or equal to 30% of household income
  • more than 30% of household income

The Census collects the income of each person in the household aged 15 years or over in ranges. To sum these personal income values to calculate a household income, a specific dollar amount is allocated to each person. A median dollar value for each range, derived using data from the Survey of Income and Housing, is used for this purpose. For more information about this survey see the Survey of Income and Housing, User Guide.

Rent payments are already collected in a single dollar amount.

Rent affordability indicator is coded to ‘Unable to be determined’ where:

  • Rent (weekly) dollar values (RNTD) is Not stated
  • at least one resident aged 15 and over was either not at home on Census Night or did not state their Total personal income (INCP)
  • no residents aged 15 and over who were at home on Census Night stated their Total personal income (INCP)

History and changes

This is a new variable for 2021. QuickStats will use the Rent affordability indicator (RAID) variable, and therefore comparisons shouldn’t be made with previous Census data in QuickStats.

In previous censuses, a measure of rental affordability could only be obtained from QuickStats. This measure was different from RAID as it used all occupied private dwellings whether owned outright, owned with a mortgage or rented, as the denominator population.

RAID only applies to dwellings being rented, which is a more accurate representation of the population to measure rental affordability.

Data use considerations

As housing costs are usually a major component of total living costs they are often analysed in relation to income, and referred to as a housing affordability ratio. However, comparisons using these measures are subject to certain limitations. As described above, the Census collects personal income in ranges. For this purpose, a single median value for each income range is calculated. It should also be noted that individuals may tend to understate their incomes on the Census, compared with the amounts that would be reported in surveys designed specifically to measure incomes. As a result of these limitations, the use of Census imputed incomes in the calculation of each household’s housing costs to income ratio may significantly overstate the true proportion of households with rent payments greater than 30% of income.

Households are often reimbursed some of their housing costs, but these reimbursements may not be offset in housing costs reported in the Census but included instead in income. Employer subsidies and Commonwealth Rent Assistance (CRA) are examples where the housing costs to income ratio is significantly affected by the default treatment of these amounts in Census reporting. This is particularly important when comparing ratios for households in public housing with those who are in receipt of CRA.

Rent payments greater than 30% of income may not necessarily indicate that a household is in financial stress.

  • Some households may choose to live in an area with high property values because it is close to their place of employment or they prefer a relatively high standard of housing compared with other consumption possibilities.
  • Higher income households may be able to spend more of their income on housing without this affecting their ability to pay for other costs of living. Lower income households may have less choice and capacity in this regard. For this reason, housing affordability ratios, such as this, are usually limited to lower income households.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Total personal income (weekly) (INCP)
  • Tenure type (TEND)
  • Rent (weekly) dollar values (RNTD)

Residential status in a non-private dwelling (RLNP)

Definition

This variable describes the residential status of each person in a non-private dwelling. It records whether people enumerated in non-private dwellings (such as motels, hospitals and colleges) are staying there as:

  • members of staff of the accommodation (e.g. owner, proprietor, porter, cook, teacher, warden, family of owner or family of staff)
  • residents
  • guests
  • patients
  • inmates.

Housing and family relationship information is not available for people in non-private dwellings because they are counted using Personal forms.

Scope

All persons in a non-private dwelling on Census Night

Categories

Code Category
1 Owner, proprietor, staff and family
2 Guest, patient, inmate, other resident
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  5

Not applicable (@) category comprises:

  • Persons in occupied private dwellings
  • Persons in migratory, off-shore or shipping SA1s

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the person’s residential status in this dwelling?

How this variable is created

This variable is collected through the Census Personal form. Data is captured from the Residential status in this dwelling question, and responses are captured in 8 separate mark box responses. These responses are then grouped into two output categories.

History and changes

A question on status in a non-private dwelling was first asked in the 1976 Census and has been asked for every Census since then.

No changes have been made for 2021.

Data use considerations

Residential status in a non-private dwelling is only applicable to persons who were in a non-private dwelling on Census Night and were enumerated on a Census Personal form.

The non-response rate for Residential status in a non-private dwelling (RLNP) was 42.0% in 2021. This is an increase from 27.6% in 2016. Non-response is generally higher for persons who were staying at a non-private dwelling on Census Night than those counted in an occupied private dwelling.

The higher percentage of non-response may be related to COVID-19, the uptake of the online form and the introduction of a new pathway to complete a Census form without receiving Census material in the mail. COVID-19 related restrictions limited the ability to enumerate non-private dwellings using the Personal Form. Additionally, some people staying in non-private dwellings accessed the Household form rather than the Personal form using the new pathway to the Census website. The Household form does not capture details on NPD type and Residential status that are collected on Personal Forms.

Related variables and glossary terms

Rent (weekly) dollar values (RNTD)

Definition

This variable records the individual dollar amounts of rent paid by households on a weekly basis for the dwelling in which they were counted on Census Night. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.  

In standard Census products (Quickstats, Community profiles), ranges are used rather than individual dollar amounts. The ranges are listed in Rent (weekly) ranges (RNTRD).

Scope

Occupied private dwellings being rented

Categories

Code Category
0001-9999 $1 to $9,999 singly
&&&& Not stated
@@@@ Not applicable

Number of categories:  10,001

Not applicable (@@@@) category comprises:

  • Occupied private dwellings with Tenure type (TEND) of Owned outright, Owned with a mortgage, Being purchased under a shared equity scheme, Being occupied under a life tenure scheme, Occupied rent free, Other and Not stated
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

How much does your household pay for this dwelling?

How this variable is created

This variable is derived from the Tenure type and Household payments questions on the Census form.

Household payments data is automatically captured from numeric text responses. If rental payment responses are reported as a fortnightly or monthly figure they are derived to a weekly figure. Responses to the tenure type question are used to determine whether payments are recorded as rent or mortgage repayments.

History and changes

Information on how much rent is paid for a private dwelling has been collected for all censuses since 1911.

Since the 1996 Census, the actual dollar amount paid for a dwelling has been collected rather than the range.

In 2021, the applicability has changed so that dwellings with the Tenure type of 'Occupied rent free' are included in the Not applicable category. Consequently $0 (category 0000) has been removed.

Data use considerations

The Census is the only source of rent data for small areas and for small groups of the population. Such data is important for housing policy and planning, and for studying the housing conditions of small populations.

Processing Rent (weekly) dollar values (RNTD) is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by respondents on the form.

The non-response rate for Rent (weekly) dollar values (RNTD) was 3.9% in 2021. This is an increase from 3.4% in 2016. 

Related variables and glossary terms

Useful links

Rent (weekly) ranges (RNTRD)

Definition

This variable records the rent paid for a dwelling on a weekly basis in ranges. It is applicable to the dwelling the household was counted in on Census Night. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.

This data is output in standard Census products (QuickStats, Community profiles) in ranges.

Rent is also captured in individual dollar amounts in Rent (weekly) dollar values (RNTD).

Scope

Occupied private dwellings being rented

Categories

Code Category
01 $1 - $74
02 $75 - $99
03 $100 - $124
04 $125 - $149
05 $150 - $174
06 $175 - $199
07 $200 - $224
08 $225 - $249
09 $250 - $274
10 $275 - $299
11 $300 - $324
12 $325 - $349
13 $350 - $374
14 $375 - $399
15 $400 - $424
16 $425 - $449
17 $450 - $474
18 $475 - $499
19 $500 - $524
20 $525 - $549
21 $550 - $649
22 $650 - $749
23 $750 - $849
24 $850 - $949
25 $950 and over
&& Not stated
@@ Not applicable

Number of categories:  27

Not applicable (@@) category comprises:

  • Occupied private dwellings with Tenure type (TEND) of Owned outright, Owned with a mortgage, Being purchased under a rent/buy scheme, Being occupied under a life tenure scheme, Occupied rent free, Other and Not stated
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

How much does your household pay for this dwelling?

How this variable is created

This variable is derived from the Tenure type and Household payments questions on the Census form.

Household payments data is automatically captured from numeric text responses. If rental payment responses are reported as a fortnightly or monthly figure they are derived to a weekly figure. Responses to the Tenure type question are used to determine whether payments are recorded as rent or mortgage repayments.

History and changes

Information on how much rent is paid for a private dwelling has been collected for all censuses since 1911.

Since the 1996 Census, the actual dollar amount paid for a dwelling has been collected rather than the range.

In 2021, the output categories for the dollar ranges have been revised. Category 18 splits into four $25 intervals (categories 18-21), increasing the number of categories from 25 in 2016 to 27 in 2021. The applicability has changed so that now dwellings with the Tenure type of 'Occupied rent free' are included in the Not applicable category and the 01 category starts at $1.

Data use considerations

The Census is the only source of rent data for small areas and for small groups of the population. Such data is important for housing policy and planning, and for studying the housing conditions of small populations.

Processing Rent (weekly) dollar values (RNTD) is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by respondents on the form.

This variable is derived from Rent (weekly) dollar values (RNTD). The non-response rate for Rent (weekly) dollar values (RNTD) was 3.9% in 2021. This is an increase from 3.4% in 2016. 

Related variables and glossary terms

  • Rent (weekly) dollar values (RNTD)
  • Tenure type (TEND)
  • Mortgage repayments (monthly) dollar values (MRED)

Useful links

Dwelling structure (STRD)

Definition

This variable records the structure of private dwellings.

Scope

Private dwellings

Categories

Code Category
11 Separate house
21 Semi-detached, row or terrace house, townhouse etc. with one storey
22 Semi-detached, row or terrace house, townhouse etc. with two or more storeys
31 Flat or apartment in a one or two storey block
32 Flat or apartment in a three storey block
33 Flat or apartment in a four to eight storey block
34 Flat or apartment in a nine or more storey block
35 Flat or apartment attached to a house
91 Caravan
92 Cabin, houseboat
93 Improvised home, tent, sleepers out
94 House or flat attached to a shop, office, etc.
&& Not stated
@@ Not applicable

Number of categories:  14

Not applicable (@@) category comprises:

  • Non-private dwellings
  • Migratory, off-shore and shipping SA1

Category definitions

Question(s) from the Census form

This variable is not collected from a question on the Census form.

How this variable is created

Initially, this data is sourced from the ABS Address Register. For more details, refer to the ABS Address Register, Users' Guide.

In some cases the Dwelling structure is updated after information is returned from ABS field officers during their visits to dwellings.

New dwellings added by Census staff can have their Dwelling structure added by the field officer or imputed from the surrounding dwellings during processing.

Depending on Dwelling structure type and the method by which the Address Register is updated, the private dwelling’s structure can be derived from the Address Register (with Building Approvals data also assisting in some cases) or information obtained by Census field officers. Structure for Non-private dwellings (NPDs) are set to ‘not applicable’.

Certain types of dwelling structures, such as 'Improvised homes, tent, sleepers-out' are given particular attention during data processing to quality assure the homeless population.

History and changes

Some information on the structure of Private dwellings has been collected for all censuses since 1911, though the specific types of classification used have varied significantly.

Cabins and Houseboats

Prior to the 1986 Census, occupied craft in marinas were treated as Non-private dwellings, however occupied houseboats and occupied small boats are now treated as Occupied private dwellings.

Collection methods before 2016

From 1976 to 2011, the information on Dwelling structure was collected by Census Field Officers in the Collector Record Book at the time the Census forms were delivered instead of being on the Census form.

In 2016 there was a change in the way the data was collected. It was initially recorded by ABS Address Canvassing Officers in the lead up to the Census, as part of establishing the Address Register as a mail-out frame for designated areas (93% of Australian addresses). In areas enumerated using the traditional approach of delivering forms, the information was collected by ABS Field Officers during the Census collection period. Location of private dwelling data was also updated as required by ABS Field Officers during the Census enumeration period. Dwellings in remote areas continue to have their structure collected solely by field officers.

In 2021, the Address Register is considered the main source of Dwelling location data, and real-world frame amendments are made when appropriate, by Field and Office staff.

Categories

For the 2016 Census, there was a change to one of the response categories for this variable. The previous category of 'Caravan, cabin or houseboat' was separated into two categories:

  • Caravan
  • Cabin, houseboat

In 2021, there has been further disaggregation of the flat/apartment categories to align with different building rules in place for buildings with a height greater than 25 metres and to meet increasing stakeholder demand for more data about high rise apartment buildings. The previous category ‘In a four or more storey block’ is separated into two categories:

  • In a four to eight storey block
  • In a nine or more storey block
Separate house and semi-detached definitions

For the 2021 Census, there is a change to the half a metre rule that had previously distinguished separate houses from semi-detached dwellings. The new definition is purely structural in which a separate house (constructed in the last 20 years) must be structurally independent, regardless of separation from adjacent dwellings. This change aligns with the way structure data is provided for the Building Approvals collection. See Housing variables for more information.

Missing dwelling structure

For the 2021 Census, addresses that do not have Dwelling structure recorded from observation or by the ABS address register can have the information populated by imputation.

Data use considerations

Data on Dwelling structure is used to monitor changes in housing characteristics, to help formulate housing policies and to review existing housing stock.

Minor inconsistencies in Dwelling structure counts may exist between censuses due to updated information on structure to the ABS Address Register and the subjective interpretation of structural definitions between individual Field Officers.

Although a review has been conducted to update Dwelling structure in light of changes to the half a metre rule for buildings constructed in the last 20 years, some older dwellings may still reflect the old definition.

Flats attached to houses are at a high risk of being missed as they are hard to identify, this is also the case for flats above shops.

The non-response rate for Dwelling structure (STRD) was 0.3% in 2021. This is a decrease from 0.5% in 2016.

Non-response for this variable was largely caused by previously unidentified dwellings being added to the census frame. This can occur when a member of the public submits their form online for an address that is not on the ABS Address Register or contacts the Census Inquiry Service. This results in dwelling structure not being recorded and is therefore left as a not stated response. 

Dwellings with no dwelling structure coded went through an imputation process to try and assign a structure code based on surrounding dwellings. Where a structure was unable to be assigned, the dwelling structure remained as not stated. 

Related variables and glossary terms

Useful links

Tenure type (TEND)

Definition

This variable describes whether a dwelling is owned, being purchased or rented.

The tenure category 'Being purchased under a shared equity scheme' refers to households who are purchasing less than 100% equity in the dwelling, and may or may not be paying rent for the remainder. 

‘Occupied under a life tenure scheme' refers to households or individuals who have a 'life tenure' contract to live in the dwelling but usually have little or no equity in the dwelling. This is a common arrangement in retirement villages.

Scope

Occupied private dwellings

Categories

Code Category
1 Owned outright
2 Owned with a mortgage
3 Purchased under a shared equity scheme
4 Rented
5 Occupied rent free
6 Occupied under a life tenure scheme
7 Other
& Not stated
@ Not applicable

Number of categories:  9

Not applicable (@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

How this variable is created

This variable is derived from responses to the Tenure type question on the Census form which asks if the dwelling is owned, being purchased or being rented.

Respondents are asked to only mark one response. Where a respondent provides more than one response, the responses are accepted in the order they appear on the form and the extra responses are rejected.

History and changes

The question relating to Tenure type (TEND) was first asked for the 1911 Census. From 1976 to 1991, nature of occupancy data was derived from mortgage and rent questions. For all other censuses a direct question on nature of occupancy was included.

Since 2006, the question on tenure type has changed to remain consistent with the current ABS statistical standard for tenure type. It captures the difference between owners with and without a mortgage. Prior to this it differentiated whether a dwelling was owned outright or being purchased.

For 2021, minor changes were made to category labels.

Data use considerations

There are no known data use considerations at this time.

The non-response rate for Tenure type (TEND) was 5.4% in 2021. This is a decrease from 7.7% in 2016. 

Related variables and glossary terms

Useful links

Tenure and landlord type (TENLLD)

Definition

This variable combines Tenure type (TEND) and Landlord type (LLDD) to provide more detailed information for rented dwellings.

Scope

Occupied private dwellings

Categories

Code Category
1 Owned outright
2 Owned with a mortgage
3 Rented:  Real estate agent
4 Rented:  State or territory housing authority
5 Rented:  Community housing provider
6 Rented:  Person not in same household
7 Rented:  Other landlord type
8 Rented:  Landlord type not stated
9 Other tenure type
& Tenure type not stated
@ Tenure type not applicable

Number of categories:  11

  • Other tenure type includes dwellings being occupied rent free and dwellings being occupied under a life tenure scheme
  • Owned with a mortgage includes dwellings being purchased under a shared equity scheme

Not applicable (@) category comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Is this dwelling: (please open this section to view response categories)

Who is this dwelling being rented from?

How this variable is created

This variable is derived from responses to the Tenure type and Landlord type questions on the Census form.

History and changes

The Tenure and landlord type (TENLLD) combined variable was first available for use during the 2011 Census. Prior to this, data was obtained by manually combining the Tenure type (TEND) and Landlord type (LLDD) variables.

For 2021, the category ‘Rented: Housing co-operative, community or church group’ has been reworded to ‘Rented: Community housing provider’, and it has been repositioned to category 5, moving the category ‘Rented: Person not in same household’ to category 6.

‘Other tenure type’ has been rescoped for 2021 to include houses being occupied rent free, which in previous censuses have been covered by the rented categories (4-8), to align with the ABS Standard for Tenure Type.

Data use considerations

'Other tenure type' includes dwellings occupied under a life tenure scheme and dwellings occupied rent free. 'Owned with a mortgage' includes dwellings being purchased under a shared equity scheme (termed a rent/buy scheme in 2011).

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Useful links

Homelessness operational groups (OPGP)

Definition

This variable records the operational group of persons estimated to be homeless or marginally housed on Census Night.

Scope

All persons who are estimated to be homeless or marginally housed

Categories

Code Category
Homelessness operational groups
1 Persons living in improvised dwellings, tents or sleeping out
2 Persons in supported accommodation for the homeless
3 Persons staying temporarily with other households
4 Persons living in boarding houses
5 Persons in other temporary lodgings
6 Persons living in ‘severely’ crowded dwellings
Other marginal housing groups
7 Persons living in other crowded dwellings
8 Persons in other improvised dwellings
9 Persons who are marginally housed in caravan parks
Not applicable
@ Not Applicable

Number of categories: 10

Not applicable comprises:

  • Persons who were not estimated to be homeless or marginally housed on Census Night

Question(s) from the Census form

Where does the person usually live?

The homelessness enumeration strategy uses support from service providers and a range of Census forms to capture the data. Rough sleepers were captured using the Special short form. Couch surfers and other people in temporary lodgings were captured using the Census Household form and were instructed to respond 'none' to the usual address question. Some Aboriginal and Torres Strait Islander discrete communities were captured using the Interviewer household form.

How this variable is created

Homelessness is not a characteristic that is directly measured in the Census. Estimates of the homeless population are derived from the Census using analytical techniques, based on both the characteristics observed in the Census and assumptions about the way people may respond to Census questions.

The categories listed under Homeless operational groups (categories 1-6) can be summed to form a Total estimate of homelessness.

The categories listed under Other marginal housing groups (categories 7-9) are considered to be ‘Marginally housed’. This means that the living arrangements are close to the statistical boundary of homelessness and the person may be at risk of homelessness. Other types of marginal housing, such as housing with major structural problems or where residents are in constant threat of violence, cannot be obtained from the Census and are therefore not included.

While these categories will overlap in a small number of circumstances, people are only assigned to one category to avoid double counting. This is done by only including them in the group that is the highest on the hierarchy. For example, a person in supported accommodation for the homeless may also be living in 'severely' crowded dwellings, but the person will only be coded to the category 2 Persons in supported accommodation for the homeless. This category is higher on the hierarchy than category 6 Persons living in 'severely' crowded dwellings'.

History and changes

There is a long history of collecting information relevant to identifying homeless people in the Census.

1933-1991:

  • in the 1933 and 1947 Censuses, a question was asked for the ‘number of persons (if any) who slept out throughout the year on verandahs (not enclosed sleep-outs)'
  • in 1986, a dwelling structure category ‘Improvised dwelling’ was provided on the form for the Census collector to mark
  • in 1991 ‘Improvised dwelling’ was changed to ‘Improvised home, campers out’. There was no distinction between homeless people and those who were camping (such as on holiday)
  • in 1976 to 1991, collectors were instructed to seek out all people camping or sleeping and to provide a Household form. This was done by visiting ‘any places in your Collection District on Census Night where it is likely that persons may be sleeping out e.g. camping areas, park benches, derelict building etc.'

1996

For the first time there was a special targeted strategy for the homeless population. The strategy aimed to maximise the coverage of the population and to provide information to policy makers and services providers. This information included the number and characteristics of people experiencing homelessness.

1996-2006

Experimental estimates of homelessness were published for the 1996, 2001 and 2006 Censuses based on a ‘cultural’ understanding of homelessness that distinguished between primary, secondary and tertiary homelessness.

2012

The statistical definition was first developed in 2012. The first official estimates of prevalence of homelessness were published in 2012 using data from 2011 and back-cast to the 2001 Census. Estimated since have been produced on this definitional basis. 

No changes have been made for 2021. 

Data use considerations

The ABS statistical definition of homelessness is:

When a person does not have suitable accommodation alternatives, they are considered homeless if their current living arrangement: 

  • is in a dwelling that is inadequate
  • has no tenure, or if their initial tenure is short and not extendable
  • does not allow them to have control of, and access to, space for social relations.

The definition has been constructed from a conceptual framework centred around the following elements:

  • adequacy of the dwelling
  • security of tenure in the dwelling
  • control of, and access to, space for social relations.

People must lack one or more of these elements to be defined as homeless. However, people who lack one or more of these elements may not necessarily be classified as homeless if they are living in special circumstances (for example, in hospitals, prisons, student halls or religious orders). While homelessness is not a choice, some people may choose to live in situations that might parallel the living situations of people who are homeless. For example, people may be living in a shed while building a home on their own property, or on holiday travelling and staying with friends. These people have choice because they have the capacity to access other accommodation that is safe, adequate and provides for social relations. Having access to accommodation alternatives is contingent on having the financial, physical, psychological and personal means to access these alternatives. For more information, see Information Paper - A Statistical Definition of Homelessness.

The homeless and marginally housed categories represent an operationalisation of this definition of homelessness within the limits of the data collected in the Census.

To calculate the total homeless population, use only the Homeless Operational categories 1 to 6.

This variable does not have a non-response rate as it is derived from responses to the Census.

Related variables and glossary terms

Income and work

Mnemonic  Variable  Release  
CDPP Community Development Program participation October 2022
EMPP Number of employees October 2022
FGAF Main type of family government benefit payment (administrative data) April 2023 New
FIAASF Total family income as available (administrative data) (weekly) April 2023 New
FIDF Family income derivation indicator June 2022
FINASF Total family income as stated (weekly) June 2022
FINAF Total family income (administrative data) (weekly) April 2023 New
FINF Total family income (weekly) June 2022
FSAF Main source of family income (administrative data) April 2023 New
GNGP Public/private sector October 2022
HGAD Main type of household government benefit payment (administrative data) April 2023 New
HIAASD Total household income as available (administrative data) (weekly) April 2023 New
HIDD Household income derivation indicator June 2022
HIED Equivalised total household income (weekly) June 2022
HINAD Total household income (administrative data) (weekly) April 2023 New
HINASD Total household income as stated (weekly) June 2022
HIND Total household income (weekly) June 2022
HRSP Hours worked October 2022
HRWRP Hours worked (ranges)  October 2022
HSAD Main source of household income (administrative data) April 2023 New
IGAP Main type of personal government benefit payment (administrative data) April 2023 New
INCAP Total personal income (administrative data) (weekly) April 2023 New
INCP Total personal income (weekly) June 2022
INDP Industry of employment October 2022
ISAP Main source of personal income (administrative data) April 2023 New
LFHRP Labour force status and hours worked not stated October 2022
LFSF Labour force status of parents/partners in families October 2022
LFSP Labour force status October 2022
OCCP Occupation October 2022
OCCEV1P Occupation experimental update version 1 October 2022 New
OCSKP Occupation skill level October 2022 New
OCSKEV1P Occupation skill level experimental update version 1 October 2022 New
SIEMP Status in employment October 2022

Total family income as available (administrative data) (weekly) (FIAASF)

Definition

This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each family member aged 15 years or older who was present in the household on Census night. This includes families where one or more family members did not have income information available in administrative data or was absent from the dwelling on Census Night.  

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Families in family households

Categories

Two-digit level (annual income ranges are displayed within brackets)
CodeCategory
01Negative income  
02Nil income  
03$1-$149 ($1-$7,799) 
04$150-$299 ($7,800-$15,599) 
05$300-$399 ($15,600-$20,799) 
06$400-$499 ($20,800-$25,999) 
07$500-$649 ($26,000-$33,799) 
08$650-$799 ($33,800-$41,599) 
09$800-$999 ($41,600-$51,999) 
10$1,000-$1,249 ($52,000-$64,999) 
11$1,250-$1,499 ($65,000-$77,999) 
12$1,500-$1,749 ($78,000-$90,999) 
13$1,750-$1,999 ($91,000-$103,999) 
14$2,000-$2,499 ($104,000-$129,999) 
15$2,500-$2,999 ($130,000-$155,999) 
16$3,000-$3,499 ($156,000-$181,999) 
17$3,500-$3,999 ($182,000-$207,999) 
18$4,000-$4,499 ($208,000-$233,999) 
19$4,500-$4,999 ($234,000-$259,999) 
20$5,000-$5,999 ($260,000-$311,999) 
21$6,000-$7,999 ($312,000-$415,999) 
22$8,000-$9,999 ($416,000-$519,999) 
23$10,000 or more ($520,000 or more) 
99Admin not available 
@@Not applicable 
Four-digit level
CodeCategory
0001Negative income  
0002Nil income  
0003$1-$9  
0004 - 1002$10-$19 to $9,990-$9,999 in ten-dollar ranges 
1003$10,000 or more 
9999Admin not available 
@@@@Not applicable 

Number of categories:   

  • Two-digit level: 25 
  • Four-digit level: 1005   

Admin not available (99, 9999) category comprises: 

  • Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available   

Not applicable (@@, @@@@) category comprises: 

  • Non-family/Non-classifiable households 
  • Unoccupied private dwellings 
  • Non-private dwellings 
  • Migratory, off-shore and shipping SA1s  

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) data asset to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.   

This variable is calculated by summing the personal incomes recorded in administrative data for all family members aged 15 years and over.  

The income ranges for this variable include families where one or more members aged 15 years and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data; or was absent from the dwelling on Census Night. In the variable Total family income (administrative data) (weekly) (FINAF), these families were excluded from the family income calculation and coded to the category 'Partial incomes available'. 

Families where no family member aged 15 and over was able to be linked to PLIDA, and therefore did not have administrative income information available are set to 'Admin not available'. 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.  

Comparison to Census income data 

Although this variable provides an alternative, more detailed view on income to the income data collected via the Census form, there are differences to consider. 

Method to calculate family income 

The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate family income. 

Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.  

Comparisons to other family data 

This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions. 

Related variables and glossary terms

Useful links

Community Development Program participation (CDPP)

Definition

This variable indicates whether a person participated in the Community Development Program (CDP). 

In the Census, the question on whether the person participated in the CDP is only included on the Interviewer household form. Interviewer household forms are designed specifically for use in discrete Aboriginal and Torres Strait Islander communities.

The CDP is a government initiative that aims to improve the economic and social well-being of remote communities. It assists job seekers in remote areas to gain skills, training, and capabilities to find:

  • sustainable employment
  • contribute to their communities through a range of flexible activities

CDP participants receive income support payments and are not considered to be in an employer/employee relationship with their provider. People who are only participating in this program are not considered to be employed unless they also have a non-CDP job. CDP participants who are not employed are classified as either unemployed or not in the labour force, depending on their job search activities.

A similar program, Community Development Employment Projects (CDEP) was present in 2011, which was then reformed into the Remote Jobs and Communities Program (RJCP). From 1 July 2015, RJCP was replaced by the CDP.

Scope

All persons aged 15 years and over who responded on an Interviewer household form

Categories

Code Category
1 Participant in the Community Development Program
2 Not a participant in the Community Development Program
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  5

Not stated (&) category comprises:

  • Persons who did not have a job and did not state on the Interviewer household form if they participated in the Community Development Program
  • Persons who did not respond to the labour force question on the Interviewer household form

Not applicable (@) category comprises:

  • Persons not counted on an Interviewer household form
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a paid job of any kind?

How this variable is created

Community Development Program (CDP) participation is derived from mark boxes to indicate the responses to this question on the Interviewer household form.

It is a multi-mark question, and the following multi-mark rules apply:

  • If a respondent answered they had a CDP job as well as a non-CDP job, the non-CDP job has precedence over the CDP job and they are classified as 'Not a participant in the Community Development Program' (note that this does not relate to CDP participation rules).
  • If there is not enough information to determine whether the respondent was a CDP participant or not, they are classified as 'Not stated'. For example, if 'No, did not have a job' was the only response marked.
  • The derivation rules for classifying an applicable person (15 years and over who responded using Interviewer household form) are summarised in the table below.

CDPP categories and the corresponding responses on the Interviewer household form

CDPP categories Interviewer household form responses to question

Participant in the Community Development Program

‘Yes, CDP job’ only
‘Yes, CDP job’ and ‘No, did not have a job’

Not a participant in the Community Development Program

'Yes, job not CDP'
'Yes, job not CDP' and/or 'Yes, worked in own business'
'Yes, job not CDP' and/or 'Yes, worked in own business' and/or 'Yes, CDP job'

Not stated

Did not provide a response at all to the question or responded as 'No, did not have a job' but did not provide an answer to subsequent questions.

Not applicable

Persons not counted on an Interviewer household form
Persons aged under 15 years

History and changes

This variable was first introduced in 2016. It replaced the following programs:

  • 2015 – Remote Jobs and Communities Program (RJCP)
  • 2011 – Community Development Employment Projects (CDEP)

No changes have been made for 2021.          

Data use considerations

Care should be taken in the use of this variable. The Community Development Program (CDP) involves a broader range of activities than would be captured from the question on the Interviewer household form. The question asked is aimed at identifying participation in a CDP job rather than measuring all CDP participation. This is for the purpose of deriving Labour force status (LFSP).

Participation in the CDP is only captured on the Interviewer household form and not across all form types used in the Census. People counted on forms other than the Interviewer household form will not have the option to indicate if they participated in the CDP.

If comparing 2016 Community Development Program participation (CDPP) data with 2011 Community Development Employment Projects (CDEP) data, users should be aware that these are two different programs even though to some extent they cover the same applicable population. Payment arrangements for participants changed, which changed the nature of their labour force status.

  • In 2011, people who participated in CDEP received wages from their community. They were considered as having an employer/employee relationship and were classified as employed in the 2011 Census.
  • In 2016 and 2021, people who participated in CDP received income support payments directly from the government and were not considered to be in an employer/employee relationship with their provider. They were classified as not employed unless they had a non-CDP job.

This difference in the classification of people participating in these different programs since 2011 may contribute to changes in comparisons over time of labour force (employment and unemployment) numbers in discrete Aboriginal and Torres Strait Islander communities.

As part of the 2021-22 Budget, the Australian government announced a new remote jobs program commencing in 2023 which will replace the CDP. Pilot programs will begin by the end of 2021. Since May 2021, job seekers are able to participate in some CDP activities on a voluntary basis but will continue to have compulsory requirements like attending appointments with service providers or looking for work.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Number of employees (EMPP)

Definition

This variable records the number of employees (in ranges) employed by owner managers (excluding the owner managers themselves).

Scope

Persons aged 15 years and over, who are owner managers of incorporated or unincorporated enterprises

Categories

Code Category
1 Nil employees
2 1-19 employees
3 20 or more employees
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  6

Not applicable (@) category comprises:

  • Employees
  • Contributing family workers
  • Unemployed persons
  • Persons not in the labour force
  • Persons with Labour Force Status (LFSP) not stated
  • Persons with Status in Employment (SIEMP) not stated
  • Persons aged under 15 years      

See Understanding supplementary codes for more information.

Question(s) from the Census form

Does the person’s business employ people?

How this variable is created

This variable is created based on the response to the question of whether the respondent’s business employs people. In cases where more than one response is marked, the responses are accepted in the order they appear on the form and the extra responses are deleted.

History and changes

The question relating to number of employees was first asked in the 2006 Census and has been asked in each Census since then.

For the 2016 Census a change was made to the question to indicate that the owner should exclude themselves from the count of people they employ. Also, in 2016, the number of employees question was asked for the first time on the Interviewer Household Form. This form type is primarily used in discrete Aboriginal and Torres Strait Islander communities across Australia.

No changes have been made for 2021.

Data use considerations

The number of employees employed in a business is used to help understand:

  • Whether the business employs people who are not owners.
  • The nature of self-employment (whether working on own account, or as an employer).
  • The characteristics of small business owners.

Unlike most Census variables, the non-response rate for Number of employees (EMPP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a Status of Employment as owner/managers of incorporated and unincorporated enterprises. Persons who did not respond, and are imputed, have a Status of Employment of 'not stated' and fall into the 'not applicable' category for Number of employees. For more information, see Census Methodology

The non-response rate for Number of employees (EMPP) was 0.4% in 2021. This is a decrease from 1.2% in 2016.

Related variables and glossary terms

Family income derivation indicator (FIDF)

Definition

This variable identifies families where one or more family members were temporarily absent, did not state their income or stated a negative income. It can be used to estimate the impact on total family income caused by negative or no income or where people were absent from the household on Census Night.

Scope

Families in family households

Categories

Code Category
No members aged 15 years and over temporarily absent
All incomes stated
1 No negative incomes stated
2 One or more negative incomes stated
One or more incomes not stated
3 No negative incomes stated
4 One or more negative incomes stated
One or more members aged 15 years and over temporarily absent
Incomes stated for all members present
5 No negative incomes stated
6 One or more negative incomes stated
One or more incomes of members present not stated
7 No negative incomes stated
8 One or more negative incomes stated
Not applicable
@ Not applicable

Number of categories:  9

Not applicable (@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person1/Person 2?

What is the total of all income the person usually receives?

For each person away, complete the following questions:

How this variable is created

Data for this variable is collected from the Relationship in household and Income questions on the Census form. It also uses the questions asked of people who were away from the household on Census Night.

This variable is derived from the Family composition (FMCF) and Total personal income (INCP) variables. It also uses the Count of persons/dependent children temporarily absent from family variables (CPAF and CDCAF) to isolate families with members aged 15 and over temporarily absent on Census Night.

History and changes

This variable was first introduced in 1991.

No changes have been made for 2021.

Data use considerations

This variable can be used in conjunction with Total personal income (weekly) (INCP) to create a new family income variable.

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the section of the form for people who were away on Census Night. This can occur in both family and group households. Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.

Family income derivation indicator (FIDF) should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

  • Total family income (weekly) (FINF)
  • Total personal income (weekly) (INCP)
  • Family composition (FMCF)
  • Count of persons temporarily absent from family (CPAF)
  • Count of dependent children under 15 in family temporarily absent (CDCAF)
  • Temporarily absent

Main source of family income (administrative data) (FSAF)

Definition

This variable indicates the main source of income that a family received. This is based on all income recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census Night. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Families in family households

Categories

CodeCategory
0Nil or negative income
1Employee wages and salary
2Government benefits and allowances
3Own unincorporated business income
4Superannuation income
5Investment income
6Other income
9Admin not available
@Not applicable

Number of categories: 9

Admin not available (9) category comprises: 

  • Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available   

Not applicable (@) category comprises: 

  • Non-family/Non-classifiable households 
  • Unoccupied private dwellings 
  • Non-private dwellings 
  • Migratory, off-shore and shipping SA1s 

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.   

This variable is calculated based on all income recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census night (see FIAASF). This includes families where one or more members did not have income information available in administrative data, or where one or more members were absent from the dwelling on Census Night. 

The main source of income is the category with the largest total income recorded between 1 July 2020 and 30 June 2021. This variable does not record the dollar amount of income earned; it records what the main source of income is.  

For example, a family may have earned substantial income from a salary and received a small amount of additional income from investments. This variable only records the main source of their income, in this case a salary.  

In the case of a family receiving the same amount of income from two or more sources, the main source of income was selected by choosing the income type which was higher in the following ranked list: 

  1. Employee wages and salary 
  2. Government benefits and allowances 
  3. Own unincorporated business income 
  4. Superannuation income 
  5. Investment income 
  6. Other income 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on income information recorded in linked administrative data, and not data collected from a Census question. 

Superannuation income in administrative data 

The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office.  

This means that we have under-recorded the amount of income families received from superannuation. In these cases the main source of family income would either be set to another income type (where the family also received income from another source) or income for this family would be incorrectly set to Nil.  

This has resulted in a known undercount of the number of families with superannuation as their main source of family income, and an overcount of the number of families with other income types as their main source of family income.   

Comparisons to other family data 

This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions. 

Related variables and glossary terms

Useful links

Total family income as stated (weekly) (FINASF)

Definition

This variable records the total family income by summing the Total personal income (weekly) (INCP) of each family member aged 15 years and over present in the household on Census Night.

This includes families where one or more family member's income details were not stated or they were away from the dwelling on Census Night.  

Scope

Families in family households

Categories

Annual income ranges are displayed within brackets.

Code Category
01 Negative income
02 Nil income
03 $1-$149 ($1-$7,799)
04 $150-$299 ($7,800-$15,599)
05 $300-$399 ($15,600-$20,799)
06 $400-$499 ($20,800-$25,999)
07 $500-$649 ($26,000-$33,799)
08 $650-$799 ($33,800-$41,599)
09 $800-$999 ($41,600-$51,999)
10 $1,000-$1,249 ($52,000-$64,999)
11 $1,250-$1,499 ($65,000-$77,999)
12 $1,500-$1,749 ($78,000-$90,999)
13 $1,750-$1,999 ($91,000-$103,999)
14 $2,000-$2,499 ($104,000-$129,999)
15 $2,500-$2,999 ($130,000-$155,999)
16 $3,000-$3,499 ($156,000-$181,999)
17 $3,500-$3,999 ($182,000-$207,999)
18 $4,000-$4,499 ($208,000-$233,999)
19 $4,500-$4,999 ($234,000-$259,999)
20 $5,000-$5,999 ($260,000-$311,999)
21 $6,000-$7,999 ($312,000-$415,999)
22 $8,000 or more ($416,000 or more)
&& All incomes not stated
@@ Not applicable

Number of categories:  24

Not applicable (@@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person1/Person 2?

What is the total of all income the person usually receives?

For each person away, complete the following questions:

How this variable is created

Data for this variable is collected from the Relationship in household and Income questions on the Census form. Data can also be collected from the questions asked of people who were away from the household on Census Night.

Total family income as stated (weekly) (FINASF) is calculated by summing the personal incomes reported by all family members aged 15 years and over present in the household on Census Night who state their income. The Census collects personal income in ranges, so before these can be summed, a specific dollar amount needs to be allocated to each person. Median incomes for each range, derived using data from the Survey of Income and Housing are used for this purpose.

Where no family member aged 15 years and over has stated their income, the household is classified as 'All incomes not stated'.

History and changes

This variable was first introduced in 2006. For the 2016 Census, categories for family income in dollar ranges were revised.

No changes have been made to the family income categories for 2021.

Data use considerations

Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the section of the form for people who were away on Census Night. This can occur in both family and group households. Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household the additional people are unable to be included on the form.

Total family income as stated (weekly) (FINASF) can be used in conjunction with Total personal income (weekly) (INCP) to create a new family income variable.

Total family income as stated (weekly) (FINASF) should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

Increases to counts in the higher family income ranges can be partly attributed to the addition of a higher income range to the personal income question. For more details, see Total personal income (weekly) (INCP).

Total family income as stated (weekly) (FINASF) does not have a non-response rate is it created during Census processing using responses from the Relationship in household, Income and persons temporarily absent questions on the Census form.

Related variables and glossary terms

  • Family income derivation indicator (FIDF)
  • Total family income (weekly) (FINF)
  • Total personal income (weekly) (INCP)

Total family income (weekly) (FINF)

Definition

This variable records the total family income by summing the Total personal income (weekly) (INCP) of each family member aged 15 years and over present in the household on Census Night. This excludes families where one or more family members aged 15 years and over did not state their income or was absent from the dwelling on Census Night. These families are coded to the 'Partial income stated' and total family incomes are not calculated.

Scope

Families in family households

Categories

Annual income ranges are displayed within brackets.

Code Category
01 Negative income
02 Nil income
03 $1-$149 ($1-$7,799)
04 $150-$299 ($7,800-$15,599)
05 $300-$399 ($15,600-$20,799)
06 $400-$499 ($20,800-$25,999)
07 $500-$649 ($26,000-$33,799)
08 $650-$799 ($33,800-$41,599)
09 $800-$999 ($41,600-$51,999)
10 $1,000-$1,249 ($52,000-$64,999)
11 $1,250-$1,499 ($65,000-$77,999)
12 $1,500-$1,749 ($78,000-$90,999)
13 $1,750-$1,999 ($91,000-$103,999)
14 $2,000-$2,499 ($104,000-$129,999)
15 $2,500-$2,999 ($130,000-$155,999)
16 $3,000-$3,499 ($156,000-$181,999)
17 $3,500-$3,999 ($182,000-$207,999)
18 $4,000-$4,499 ($208,000-$233,999)
19 $4,500-$4,999 ($234,000-$259,999)
20 $5,000-$5,999 ($260,000-$311,999)
21 $6,000-$7,999 ($312,000-$415,999)
22 $8,000 or more ($416,000 or more)
23 Partial income stated
&& All incomes not stated
@@ Not applicable

Number of categories:  25

Not applicable (@@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

What is the person’s relationship to Person1/Person 2?

What is the total of all income the person usually receives?

For each person away, complete the following questions:

How this variable is created

Data for this variable is collected from the Relationship in household and Income questions on the Census form. Data can also be collected from the questions asked of people who were away from the household on Census Night.

Total family income (weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. As personal income is collected in ranges, median values are assigned to each range using data from the Survey of Income and Housing.

Families where all or at least one family member aged 15 and over did not state an income are set to either:

  • 'All incomes not stated'
  • 'Partial income stated'

Families where at least one member aged 15 and over was absent from the dwelling on Census Night are also set to 'Partial incomes stated'. 

History and changes

This variable was first introduced in 1976 as Family income (annual) (FINP). The name and mnemonics used, and methods used to calculate family income have changed several times over the years. For the 2016 Census, categories for family income in dollar ranges were revised.

No changes have been made to the family income categories for 2021.

Data use considerations

If there is a need to recalculate this variable under different circumstances users can use the derived variable Family income derivation indicator (FIDF) in conjunction with Total personal income (weekly) (INCP) to create a new family income variable.

Total family income (weekly) should be used carefully when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

Increases to counts in the higher family income ranges can be partly attributed to the addition of a higher income range to the personal income question. For more details, see Total personal income (weekly) (INCP).

Total family income (weekly) (FINF) does not have a non-response rate as it is created during Census processing using responses from the Relationship in household, Income and persons temporarily absent questions on the Census form.

Related variables and glossary terms

Public/private sector (GNGP)

Definition

This variable classifies employed people according to whether they are employed in the government (public) or non-government (private) sector. The public sector is further broken down into National, State and Territory or Local Government.

Scope

Employed persons 15 years of age and over

Categories

Code Category
1 National Government
2 State/Territory Government
3 Local Government
4 Private Sector
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  7

Not applicable (@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with Labour Force Status (LFSP), not stated
  • Persons aged under 15 years       

See Understanding supplementary codes for more information.

Question(s) from the Census form

For the main job held last week, what was the employer’s business name?

What best describes the industry or business of the employer at the location where the person works?

What are the main goods produced or main services provided by the employer’s business?

For the main job held last week, what was the person’s workplace address?

How this variable is created

Data for this variable is captured automatically from written responses to Labour Force questions on the Census form. The employer's business name and the workplace address of the employed person is used to classify employed persons into the public or private sector. If the person's employment cannot be determined as public sector, responses are coded to private sector as the default code. If the person's employment in the public sector cannot be further broken down into National, State and Territory or Local Government, responses are imputed on a proportional basis to National, State and Territory or Local Government.

History and changes

Questions on what industry people are employed in has been asked in all Censuses since 1911. A separate variable to classify the sector as public or private was first provided for the 1971 Census.

Over time, the name of this variable has changed, but the meaning and the purpose of the question has remained the same:

  • 1971: Industry Sector (GOVT)
  • 1976-2006: Industry Sector (GNGP) - noting that in 1996-2001 a category for Community Development Employment Program was included
  • 2011-2021: Public/Private Employer Indicator (GNGP)

No changes have been made for 2021.

Data use considerations

There are no data use considerations for this variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Related variables and glossary terms

Total household income as available (administrative data) (weekly) (HIAASD)

Definition

This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each resident aged 15 years or older who was present in the household on Census Night. This includes households where one or more residents did not have income information available in administrative data or was absent from the dwelling on Census Night. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Occupied private dwellings

Categories

Two-digit level (annual income ranges are displayed within brackets)
CodeCategory
01Negative income  
02Nil income  
03$1-$149 ($1-$7,799) 
04$150-$299 ($7,800-$15,599) 
05$300-$399 ($15,600-$20,799) 
06$400-$499 ($20,800-$25,999) 
07$500-$649 ($26,000-$33,799) 
08$650-$799 ($33,800-$41,599) 
09$800-$999 ($41,600-$51,999) 
10$1,000-$1,249 ($52,000-$64,999) 
11$1,250-$1,499 ($65,000-$77,999) 
12$1,500-$1,749 ($78,000-$90,999) 
13$1,750-$1,999 ($91,000-$103,999) 
14$2,000-$2,499 ($104,000-$129,999) 
15$2,500-$2,999 ($130,000-$155,999) 
16$3,000-$3,499 ($156,000-$181,999) 
17$3,500-$3,999 ($182,000-$207,999) 
18$4,000-$4,499 ($208,000-$233,999) 
19$4,500-$4,999 ($234,000-$259,999) 
20$5,000-$5,999 ($260,000-$311,999) 
21$6,000-$7,999 ($312,000-$415,999) 
22$8,000-$9,999 ($416,000-$519,999) 
23$10,000 or more ($520,000 or more) 
99Admin not available 
@@Not applicable 
Four-digit level
CodeCategory
0001Negative income  
0002Nil income  
0003$1-$9  
0004 - 1002$10-$19 to $9,990-$9,999 in ten-dollar ranges 
1003$10,000 or more 
9999Admin not available 
@@@@Not applicable

Number of categories:

  • Two-digit level: 25
  • Four-digit level: 1005

Admin not available (99, 9999) category comprises:

  • Households where no persons were able to be linked to PLIDA, and therefore the household did not have any administrative income information available

Not applicable (@@, @@@@) category comprises:

  • Non-private dwellings 
  • Unoccupied private dwellings 
  • Migratory, off-shore and shipping SA1s 
  • Other non-classifiable households 

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.   

This variable is calculated by summing the personal incomes recorded in administrative data of all household members aged 15 years and over. 

The income ranges for this variable include households where one or more members aged 15 years and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data; or were temporarily absent. In the variable Total household income (administrative data) (weekly) (HINAD), these households were excluded from the household income calculation and coded to the category 'Partial incomes available'. 

Where no member of a household aged 15 years and over had administrative income information available, the household is classified as 'Admin not available'. 

In most cases, the income of visitors to a household is excluded from Total household income as stated. The exception to this is households that comprise only visitors. 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.  

Comparison to Census income data 

Although this variable provides an alternative, more detailed view on income to the  income data collected via the Census form, there are differences to consider. 

Method to calculate household income 

The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate household income. 

Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.  

Comparison to other ABS Surveys 

Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to household income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.  

Related variables and glossary terms

Useful links

Household income derivation indicator (HIDD)

Definition

This variable identifies households where people were absent from the dwelling on Census Night, did not state their income, or stated a negative income.

Scope

Occupied private dwellings

Categories

Code Category
No members aged 15 years and over temporarily absent
All incomes stated
1 No negative incomes stated
2 One or more negative incomes stated
One or more incomes not stated
3 No negative incomes stated
4 One or more negative incomes stated
One or more members aged 15 years and over temporarily absent 
Incomes stated for all members present
5 No negative incomes stated
6 One or more negative incomes stated
One or more incomes of members present not stated
7 No negative incomes stated
8 One or more negative incomes stated
Not applicable
@ Not applicable

Number of categories:  9

Not applicable (@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable households

Question(s) from the Census form

What is the total of all income the person usually receives?

How this variable is created

This variable is derived from the following variables:

To identify households with members aged 15 years and over temporarily absent on Census Night the following variables are used:

  • Count of persons temporarily absent from dwelling (CPAD)
  • Count of persons/dependent children temporarily absent from family variables (CPAF)

History and changes

This variable was first introduced in the 1991 Census.

No changes have been made for 2021.

Data use considerations

This variable allows household income to be derived from individual incomes based on certain conditions as listed in the categories.

Household income derivation indicator can also be used:

  • to remove these households from the population of a table, or to estimate the impact on total household income caused by negative income or people away from the dwelling on Census Night
  • in conjunction with Total personal income (weekly) (INCP) to create a new household income variable.

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Total household income (weekly) (HIND)
  • Total personal income (weekly) (INCP)

Equivalised total household income (weekly) (HIED)

Definition

Equivalised total household income is household income adjusted by the application of an equivalence scale to facilitate comparison of income levels between households of differing size and composition. This variable reflects that a larger household would normally need more income than a smaller household to achieve the same standard of living. The 'modified OECD' equivalence scale is used.

Equivalised total household income can be viewed as an indicator of the economic resources available to a standardised household. For a lone person household, it is equal to household income. For a household comprising more than one person, it is an indicator of the household income that would be needed by a lone person household to enjoy the same level of economic wellbeing.

Scope

Family, lone person and group households

Categories

Annual income ranges are displayed within brackets.

Code  Category
01 Nil income
02 $1-$149 ($1-$7,799)
03 $150-$299 ($7,800-$15,599)
04 $300-$399 ($15,600-$20,799)
05 $400-$499 ($20,800-$25,999)
06 $500-$649 ($26,000-$33,799)
07 $650-$799 ($33,800-$41,599)
08 $800-$999 ($41,600-$51,999)
09 $1,000-$1,249 ($52,000-$64,999)
10 $1,250-$1,499 ($65,000-$77,999)
11 $1,500-$1,749 ($78,000-$90,999)
12 $1,750-$1,999 ($91,000-$103,999)
13 $2,000-$2,499 ($104,000-$129,999)
14 $2,500-$2,999 ($130,000-$155,999)
15 $3,000-$3,499 ($156,000-$181,999)
16 $3,500 or more ($182,000 or more)
17 Partial income stated
&& All incomes not stated
@@ Not applicable

Number of categories:  19

Not applicable (@@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable households
  • Visitor only households

Question(s) from the Census form

What is the total of all income the person usually receives?

How this variable is created

This variable is created by summing the personal incomes reported by all household members aged 15 years and over and applying a weighting according to the 'modified OECD' equivalence scale.

The equivalence factor is built by summing all equivalence points allocated to each person in a household:

  • 1 point to the first adult
  • 0.5 points to each additional person who is 15 years and over
  • 0.3 points to each child under the age of 15

As personal income is collected in ranges, median values are assigned to each range using data from the Survey of Income and Housing. For more information about this survey see the Survey of Income and Housing, User Guide.

Households where all or at least one member aged 15 and over did not state an income are set to either:

  • 'All incomes not stated'
  • 'Partial income stated'

Households where at least one member aged 15 and over was away from the dwelling on Census Night are also set to 'Partial incomes stated'. 

Where children under 15 years were absent from the household on Census Night, they were included in the calculation. Visitors and people in 'Not applicable' categories are excluded from the calculation. HIED is not calculated for households that comprise only visitors.

History and changes

This variable was first used in 2006, though other measures of household income had been used in previous censuses. For 2016 the categories for annual income dollar ranges were revised.

For 2021, additional higher end income ranges were added, to reflect changes that were made to the personal income variable. The '$3,000 or more ($156,000)' range has been split into two categories:

  • '$3,000-$3,499 ($156,000-$181,999)' 
  • '$3,500 or more ($182,000 or more)'

Data use considerations

Equivalised total household income can be viewed as an indicator of the economic resources available to a standardised household. For a lone person household it is equal to household income. For a household comprising more than one person, it is an indicator of the household income that would be needed by a lone person household to enjoy the same level of economic wellbeing.

Alternatively, equivalised total household income can be viewed as an indicator of the economic resources available to everyone in a household. Mean equivalised household income is therefore calculated by adding the equivalised total household income of all households, and then dividing by the number of people. This enables people in large households to have the same contribution to the mean as people living alone.

Equivalised total household income is set to zero when total household income is negative, such as when losses incurred in a household's unincorporated business or other investments are greater than any positive income from any other sources.

Total family income is not equivalised. All people in a household benefit from the economies of scale for housing and other shared costs, regardless of whether they are in the same family or not. Therefore the most appropriate indicator of the standard of living of a family is still the equivalised income of the household in which they live.

A more detailed explanation is provided in Survey of Income and Housing, User Guide, Australia.

Increases to counts in the higher household equivalised income ranges can be partly attributed to the addition of a higher income range to the Personal income question. For more details, see Total personal income (weekly) (INCP).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. 

Related variables and glossary terms

  • Total household income (weekly) (HIND)
  • Total personal income (weekly) (INCP)

Total household income as stated (weekly) (HINASD)

Definition

This variable provides the total weekly income of a private household based on the reported personal incomes of all members that are aged 15 years or older.

Scope

Occupied private dwellings

Categories

Annual income ranges are displayed within brackets.

Code Category
01 Negative income
02 Nil income
03 $1-$149 ($1-$7,799)
04 $150-$299 ($7,800-$15,599)
05 $300-$399 ($15,600-$20,799)
06 $400-$499 ($20,800-$25,999)
07 $500-$649 ($26,000-$33,799)
08 $650-$799 ($33,800-$41,599)
09 $800-$999 ($41,600-$51,999)
10 $1,000-$1,249 ($52,000-$64,999)
11 $1,250-$1,499 ($65,000-$77,999)
12 $1,500-$1,749 ($78,000-$90,999)
13 $1,750-$1,999 ($91,000-$103,999)
14 $2,000-$2,499 ($104,000-$129,999)
15 $2,500-$2,999 ($130,000-$155,999)
16 $3,000-$3,499 ($156,000-$181,999)
17 $3,500-$3,999 ($182,000-$207,999)
18 $4,000-$4,499 ($208,000-$233,999)
19 $4,500-$4,999 ($234,000-$259,999)
20 $5,000-$5,999 ($260,000-$311,999)
21 $6,000-$7,999 ($312,000-$415,999)
22 $8,000 or more ($416,000 or more)
&& All incomes not stated
@@ Not applicable

Number of categories:  24

Not applicable (@@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable households

Question(s) from the Census form

What is the total of all income the person usually receives?

How this variable is created

Total household income as stated (weekly) is the sum of Total personal income (weekly) (INCP) of each resident aged 15 years and over present in the household on Census Night. As personal income is collected in ranges, median values are assigned to each range using data from the Survey of Income and Housing. For more information about this survey see the Survey of Income and Housing, User Guide. 

The income ranges for Total household income as stated (weekly) include households where one or more household members aged 15 years and over did not state their income, or were temporarily absent. In the variable Total household income (weekly) (HIND), these households would be excluded from the household income calculation and be coded to the category 'Partial income stated'.

Where no member of a household aged 15 years and over has stated their income, the household is classified as 'All incomes not stated'.

In most cases, the income of visitors to a household is excluded from Total household income as stated. The exception to this is households that comprise only visitors.

History and changes

This variable was first used in 2006, though other measures of household income had been used in previous censuses. For 2016 the categories for annual income dollar ranges were revised.

No changes have been made to the household income categories for 2021.

Data use considerations

Total household income as stated is calculated for visitor only households in order to collect data on household income in tourist areas.

Increases to counts in the higher household income ranges can be partly attributed to the addition of a higher income range to the Personal income question. For more details, see Total personal income (weekly) (INCP).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. 

Related variables and glossary terms

  • Total household income (weekly) (HIND)
  • Total personal income (weekly) (INCP)

Total household income (weekly) (HIND)

Definition

This variable is the sum of Total personal income (weekly) (INCP) of each resident aged 15 years or older who was present in the household on Census Night. 

Scope

Occupied private dwellings

Categories

Annual income ranges are displayed within brackets.

Code Category
01 Negative income
02 Nil income
03 $1-$149 ($1-$7,799)
04 $150-$299 ($7,800-$15,599)
05 $300-$399 ($15,600-$20,799)
06 $400-$499 ($20,800-$25,999)
07 $500-$649 ($26,000-$33,799)
08 $650-$799 ($33,800-$41,599)
09 $800-$999 ($41,600-$51,999)
10 $1,000-$1,249 ($52,000-$64,999)
11 $1,250-$1,499 ($65,000-$77,999)
12 $1,500-$1,749 ($78,000-$90,999)
13 $1,750-$1,999 ($91,000-$103,999)
14 $2,000-$2,499 ($104,000-$129,999)
15 $2,500-$2,999 ($130,000-$155,999)
16 $3,000-$3,499 ($156,000-$181,999)
17 $3,500-$3,999 ($182,000-$207,999)
18 $4,000-$4,499 ($208,000-$233,999)
19 $4,500-$4,999 ($234,000-$259,999)
20 $5,000-$5,999 ($260,000-$311,999)
21 $6,000-$7,999 ($312,000-$415,999)
22 $8,000 or more ($416,000 or more)
23 Partial income stated
&& All incomes not stated
@@ Not applicable

Number of categories:  25

Not applicable (@@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable households

What is the total of all income the person usually receives?

How this variable is created

This variable is calculated by summing the personal incomes reported by all household members aged 15 years and over. The Census collects personal income in ranges, so before these can be summed, a specific dollar amount needs to be allocated to each person. Median incomes for each range, derived using data from the Survey of Income and Housing, are used for this purpose. For more information about this survey see the Survey of Income and Housing, User Guide.

Households where all or at least one member aged 15 and over did not state an income are set to:

  • 'All incomes not stated' and
  • 'Partial income stated' respectively.

Households where at least one member aged 15 and over was away from the dwelling on Census Night are also set to 'Partial incomes stated'. 

In most cases, the income of visitors to a household are excluded from Total household income as stated. The exception to this is households that comprise only visitors.

History and changes

A variable relating to household income was first used in the 1976 Census.

No changes have been made to the household income categories for 2021.

Data use considerations

If there is a need to recalculate this variable under different circumstances, the derived variable Household income derivation indicator (HIDD) can be used in conjunction with Total personal income (weekly) (INCP) to create a new household income variable.

Total household income is calculated for visitor only households to collect data on household income in tourist areas.

Increases to counts in the higher household income ranges can be partly attributed to the addition of a higher income range to the Personal income question. For more details, see Total personal income (weekly) (INCP).

This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. 

Related variables and glossary terms

Hours worked (HRSP)

Definition

This variable indicates the number of hours worked by the employed person in all jobs during the week prior to Census night. This excludes any time off but includes overtime and extra time worked.

In standard Census products the data is generally published in ranges using Hours worked (ranges) (HRWRP).

Scope

Employed persons aged 15 years and over

Categories

Code Category
00-99 0 to 99 hours singly
&& Not stated
@@ Not applicable
VV Overseas visitor

Number of categories:  103

Not applicable (@@) category comprises:

  • Unemployed persons
  • Persons not in the labour force
  • Persons with Labour force status (LFSP), not stated
  • Persons aged under 15 years                             

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, how many hours did the person work in all jobs?

How this variable is created

Data for this variable is captured automatically from written numeric responses or the 'None' mark box on the paper form. Outlying values are checked manually to ensure that they match the actual response on the form. The data may include a small proportion of persons with an unusual number of hours worked, as all numeric responses are accepted as reported.

History and changes

The question relating to Hours worked was first asked in the 1966 Census. In 1971, 1976 and since 1996, the Hours worked question has focused on hours worked in all jobs held in the week prior to the Census.

No changes have been made for 2021.

Data use considerations

Information on hours worked, classified by industry and occupation, allows changes in the labour force to be analysed. It also enhances the use of Journey to Work data for transport studies.

Hours worked, when used in combination with Labour force status (LFSP), provides information on full-time and part-time employment. For Census purposes, a person is considered to be working full-time if they worked 35 hours or more in all jobs during the week prior to Census night.

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down. Even if lockdowns impacted a person's normal working hours, respondents were asked to answer this question accurately per their current situation. 

Unlike most Census variables, the non-response rate for Hours worked (HRSP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond to the labour force status questions have a labour force status of not stated and fall in the 'not applicable' category within the Hours Worked variable.

The non-response rate for Hours worked (HRSP) was 1.7% in 2021. This is a decrease from 1.9% in 2016.

Related variables and glossary terms

Hours worked (ranges) (HRWRP)

Definition

This variable indicates the number of hours worked in ranges by the employed person in all jobs during the week prior to Census night. This excludes any time off but includes overtime and extra time worked.

In standard Census products the data is generally published in ranges. Hours worked are also produced in single hours in Hours worked (HRSP).

Scope

Employed persons aged 15 years and over

Categories

Code Category
00 0 hours
01 1-9 hours
02 10-19 hours
03 20-29 hours
04 30-34 hours
05 35-39 hours
06 40-44 hours
07 45-49 hours
08 50-59 hours
09 60-69 hours
10 70 hours or more
&& Not stated
@@ Not applicable
VV Overseas visitor

Number of categories:  14

Not applicable (@@) category comprises:

  • Unemployed persons
  • Persons not in the labour force
  • Persons with Labour force status (LFSP), not stated
  • Persons aged under 15 years                         

  See Understanding supplementary codes for more information.              

Question(s) from the Census form

Last week, how many hours did the person work in all jobs?

How this variable is created

Data for this variable is captured automatically from written numeric responses, or the 'None' mark box on the paper form. Outlying values are checked manually to ensure that they match the actual response on the form. The data may include a small proportion of persons with an unusual number of hours worked, as all numeric responses are accepted as reported.

History and changes

The question relating to Hours worked was first asked in the 1966 Census. In 1971, 1976 and since 1996, the hours worked question has focused on hours worked in all jobs held in the week prior to the Census.

The Hours worked (ranges) variable was first introduced for the 2011 Census. Since 2016, the 'None' mark box from the question was removed from the online version of the Census form. 

For 2021, the output categories (ranges) for this variable have been updated to align with the Standards for labour force statistics, 2018. There are now more categories available.  

Data use considerations

Information on hours worked, classified by industry and occupation, allows changes in the labour force to be analysed. It also enhances the use of Journey to Work data for transport studies.

Hours worked, when used in combination with Labour force status (LFSP), provides information on full-time and part-time employment. For Census purposes, a person is considered to be working full-time if they worked 35 hours or more in all jobs during the week prior to Census night.

This variable is derived from the Hours worked (HRSP) variable. Unlike most Census variables, the non-response rate for Hours Worked (HRSP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status (LFSP) of 'employed'. Persons who do not respond to the labour force status questions have a labour force status of not stated and fall in the 'not applicable' category within the Hours Worked variable.

The non-response rate for Hours worked (HRSP) was 1.7% in 2021. This is a decrease from 1.9% in 2016.

Related variables and glossary terms

Total personal income (weekly) (INCP)

Definition

This variable indicates the total income (in ranges) that a person usually receives each week. Equivalent annual income amounts appear in brackets.

Scope

Persons aged 15 years and over

Categories

Code Category
01 Negative income
02 Nil income
03 $1-$149 ($1-$7,799)
04 $150-$299 ($7,800-$15,599)
05 $300-$399 ($15,600-$20,799)
06 $400-$499 ($20,800-$25,999)
07 $500-$649 ($26,000-$33,799)
08 $650-$799 ($33,800-$41,599)
09 $800-$999 ($41,600-$51,999)
10 $1,000-$1,249 ($52,000-$64,999)
11 $1,250-$1,499 ($65,000-$77,999)
12 $1,500-$1,749 ($78,000-$90,999)
13 $1,750-$1,999 ($91,000-$103,999)
14 $2,000-$2,999 ($104,000-$155,999)
15 $3,000-$3,499 ($156,000-$181,999)
16 $3,500 or more ($182,000 or more)
&& Not stated
@@ Not applicable
VV Overseas visitor

Number of categories:  19

Not applicable (@@) category comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the total of all income the person usually receives?

How this variable is created

This variable is captured automatically from mark box responses on the Census form. Respondents are asked to only mark one response. Where a respondent provides more than one response, the responses are accepted in the order they appear on the form and the extra responses are rejected.

History and changes

Questions on income were first included in the Census in 1933 and have been asked in each Census since 1976. In 2006, this variable was referred to as 'Individual Income (weekly)'.

Income ranges were updated in 2016.

For 2021, an additional income range has been added to reflect changes to the personal income question options. '15 $3,000 or more ($156,000)' has been split into two categories:

  • '15 $3,000-$3,499 ($156,000-$181,999)' 
  • '16 $3,500 or more ($182,000 or more)'

This change accounts for higher income ranges.

Data use considerations

Comparison to other ABS surveys

Even though the Census and other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, 2011-2012 to 2017-2018, collect similar data relating to personal income, they are not directly comparable. This is due to differences in scope, collection methodology, the time period the collection relates to, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection in order to most appropriately use it. 

Negative income

Negative income in the Census includes people who own their own business and report negative income due to losses or negative gearing of rentals.

Lockdown

A number of regions across the country were in various stages of lockdown on Census Night, and the week preceding it, resulting in a greater number of people being temporarily stood down, which impacted their income. To gain a better understanding of the true income levels of Australians, guidance for people in lockdown on how to correctly respond was provided at the time on the Census website, as follows: 

'Please reflect your usual income, as it was before the commencement of the current COVID-19 lockdown period.'

The non-response rate for Total personal income (weekly) (INCP) was 7.2% in 2021. This is a decrease from 9.0% in 2016. 

Related variables and glossary terms

Main source of household income (administrative data) (HSAD)

Definition

This variable indicates the main source of income that a household received. This is based on all income recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Occupied private dwellings

Categories

CodeCategory
0Nil or negative income
1Employee wages and salary
2Government benefits and allowances
3Own unincorporated business income
4Superannuation income
5Investment income
6Other income
9Admin not available
@Not applicable

Number of categories:  9

Admin not available (9) category comprises:

  • Households where no persons were able to be linked to PLIDA, and therefore the household did not have any administrative income information available

Not applicable (@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable households

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) data asset to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.   

This variable is calculated based on all income recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night (see HIAASD). This includes households where one or more residents did not have income information available in administrative data or where one or more residents was absent from the dwelling on Census Night. 

The main source of income is the category with the largest total income recorded. This variable does not record the dollar amount of income earned; it records what the main source of income is.  

For example, a household may have earned substantial income from a salary and received a small amount of additional income from investments. This variable only records the main source of their income, in this case a salary.  

In the case of a household receiving the same amount of income from two or more sources, the main source of income was selected by choosing the income type which was higher in the following ranked list: 

  1. Employee wages and salary 
  2. Government benefits and allowances 
  3. Own unincorporated business income 
  4. Superannuation income 
  5. Investment income 
  6. Other income 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on income information recorded in linked administrative data, and not data collected from a Census question. 

Superannuation income in administrative data 

The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office.  

This means that we have under-recorded the amount of income households received from superannuation. In these cases the main source of household income would either be set to another income type (where the household also received income from another source) or income for this household would be incorrectly set to Nil.  

This has resulted in a known undercount of the number of households with superannuation as their main source of household income, and an overcount of the number of households with other income types as their main source of household income.   

Comparison to other ABS Surveys 

Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to household income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.  

Related variables and glossary terms

Useful links

Industry of employment (INDP)

Definition

This variable describes the industry of the main job held by the employed person in the week prior to Census night.

Scope

Employed people aged 15 years and over

Categories

Industry of employment is coded to the Australian and New Zealand Standards Industrial Classification (ANZSIC), 2006 (Revision 2.0). The categories are listed in groups below. The full list is available from the Data downloads section on this page. 

A - Agriculture, Forestry and Fishing

B - Mining

C - Manufacturing

D - Electricity, Gas, Water and Waste Services

E - Construction

F - Wholesale Trade

G - Retail Trade

H - Accommodation and Food Services

I - Transport, Postal and Warehousing

J - Information Media and Telecommunications

K - Financial and Insurance Services

L - Rental, Hiring and Real Estate Services

M - Professional, Scientific and Technical Services

N - Administrative and Support Services

O - Public Administration and Safety

P - Education and Training

Q - Health Care and Social Assistance

R - Arts and Recreation Services

S - Other Services

T - Inadequately described

 Supplementary Codes

Number of categories: 

  • One digit level: 20
  • Two digit level: 106
  • Three digit level: 293
  • Four digit level: 721

Not applicable (@@@@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with labour Force status (LFSP) not stated
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

For the main job held last week, what was the employer’s business name?

What best describes the industry or business of the employer at the location where the person works?

Targeted supplementary questions for industry

What are the main goods produced or main services provided by the employer’s business?

For the main job held last week, what was the person’s workplace address?

How this variable is created

A person's industry of employment is classified based on responses to a range of questions. These questions include asking for a description of the:

  • business name
  • industry or business
  • main goods produced
  • main services provided.

Industry of Employment is coded to the ANZSIC, 2006 (Revision 2.0).

To code the information, industry of employment is first obtained by matching business name and address responses to ABS lists of business names for which main industry activity is already known. These responses are automatically coded.

The remaining responses are coded using write-in responses about type of industry and about main goods or services produced. If a response is captured to a Targeted Supplementary Question (TSQ) in the online form this is used, otherwise the responses are examined by ABS staff and independently assessed for an ANZSIC code. In the absence of adequate industry, business goods or services information, occupation and task responses may be used as supplementary information to help decide which industry to code to. Responses with insufficient information to assign an ANZSIC code are coded to ‘Inadequately described.’

'Not further defined' categories are used when there is insufficient information to code the response to a detailed category in the classification. A response of 'education' for example is not enough to code to a detailed industry such as Preschool or University and would be coded to the 'Education and Training, not further defined' category. 

History and changes

The name of employer and address of workplace has been collected since the 1954 Census.          

The questions relating to industry of employment or similar were first asked in the 1911 Census and have been asked in all Censuses since then.

In 2016, the question on industry or business changed from a mark box format response to a write-in format. Targeted supplementary questions (TSQs) were also introduced in the online form to clarify responses. Responses to TSQs were taken as a priority over the data in other fields.

In 2021, several minor wording and response order changes were made to the TSQs. The TSQ for repairs and maintenance service was removed for 2021. Responses to TSQs were not taken as a priority over the data in other fields as was done in 2016.

Data use considerations

The occupation or task of an individual, in general, should not be used to determine the industry in which the person works because industry coding based on occupation can give a very different result to that based on the employer's activity. For example, a person works for a coal mining company as a driver of the company's coal trucks. The individual's occupation is 'truck driver'. However, the industry of the individual's employer is 'coal mining' and not 'transport'. This example illustrates how using an individual's occupation as a proxy for industry can lead incorrect assumptions about what industry the person is actually in.

Unlike most Census variables, the non-response rate for Industry of employment (INDP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Industry of Employment. 

The non-response rate for Industry of employment (INDP) was 1.3% in 2021. This is an increase from 1.2% in 2016.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows: 

'If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and  information about your employer (such as industry and number of employees).'

Comparing Census with ABS Labour Force Survey

The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey

Related variables and glossary terms

Data downloads

Data files

Main type of personal government benefit payment (administrative data) (IGAP)

Definition

This variable indicates the main type of government benefit payment that a person received based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Persons aged 15 years and over

Categories

CodeCategory
00Nil or negative income
01Age Pension
02Austudy/ABSTUDY
03Carer Allowance
04Carer Payment
05Dad and Partner Pay
06Disability Support Pension
07Family Tax Benefits
08Future Flexible Support Payment
09Mobility Allowance
10Newstart Allowance and JobSeeker
11Paid Parental Leave Payment
12Parenting Payment
13Special Benefit
14Widow Allowance
15Youth Allowance
16Other government pensions and allowances
17Type of benefit unknown
18Did not receive government pension or allowance
99Admin not available
@@Not applicable
VVOverseas visitor 

Number of categories: 22

Admin not available (99) category comprises:

  • Persons who were not able to be linked to PLIDA, and therefore did not have administrative income information available

Not applicable (@@) category comprises:

  • Persons aged under 15 years

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative data on government benefits, pensions, and allowances from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable. 

The payments received between 1 July 2020 and 30 June 2021 are added together within each category. The main type of government benefit payment is the category with the largest amount recorded. This variable does not record the dollar amount of government benefits, pensions, and allowances received; it records what the main benefit type is. 

All payments recorded in the administrative data are included, however some Government benefit payments have been excluded from this variable as they are deemed not to represent income. The excluded payments are: 

  • Rent Assistance 
  • Fares Allowance 
  • HECS or Course Fees 
  • Student Start-up Loan 
  • Home Equity Access Scheme / Pension Loans Scheme 
  • Commonwealth Seniors Health Card 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on Government benefit, pension and allowance information recorded in linked administrative data, and is not data collected from a Census question. 

Financial Year income as a measure of usual income 

Financial Year income from the administrative data is used to measure the main type of Government benefit payment received. The Financial Year captures longer term trends of income and is not subject to short term changes around Census time. This means that this variable may not align with what a person received, or usually received around the time of the Census.  

Linkage rates between Census and administrative data 

This variable relies upon the accurate linkage of Census to the administrative data. Data linkage rates (denoted through the 99 and 9999 categories) need to be considered when assessing totals.  

Lockdown 

A number of regions across the country were in various stages of lockdown due to the COVID-19 pandemic throughout the 2020-2021 Financial Year. This resulted in a greater number of people being temporarily stood down, which impacted the government benefit payments recorded in administrative data. 

Related variables and glossary terms

Useful links

Labour force status and hours worked not stated (LFHRP)

Definition

This variable combines Labour force status (LFSP) with the 'Not stated' category from the Hours worked (HRSP) variable to provide more detailed information on employed persons.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Employed, worked full-time
2 Employed, worked part-time
3 Employed, away from work
4 Employed, hours of work not stated
5 Unemployed, looking for full-time work
6 Unemployed, looking for part-time work
7 Not in the labour force
& Labour force status not stated
@ Not applicable
V Overseas visitor

Number of categories:  10

Not applicable (@) category comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business?

Last week, how many hours did the person work in all jobs?

Did the person actively look for work at any time in the last four weeks?

If the person had found a job, could the person have started work last week?

How this variable is created

This variable is derived by combining Labour force status (LFSP) and Hours worked (HRSP) data to determine how many people did not state their hours of work.

History and changes

This variable was introduced in 2011. No changes have been made for 2021.  

Data use considerations

There are no data use considerations for this variable. 

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

Labour force status of parents/partners in families (LFSF)

Definition

This variable records the labour force status of parents/partners in couple and lone parent families.

Scope

Families in family households

Categories

Code Category
01 Couple family: Both employed, worked full-time
02 Couple family: One employed full-time, other part-time
03 Couple family: One employed full-time, other away from work
04 Couple family: One employed full-time, other unemployed
05 Couple family: One employed full-time, other not in the labour force
06 Couple family: One employed full-time, other labour force status not stated
07 Couple family: Both employed, worked part-time
08 Couple family: One employed part-time, other away from work
09 Couple family: One employed part-time, other unemployed
10 Couple family: One employed part-time, other not in the labour force
11 Couple family: One employed part-time, other labour force status not stated
12 Couple family: Both employed, away from work
13 Couple family: One away from work, other unemployed
14 Couple family: One away from work, other not in the labour force
15 Couple family: One away from work, other labour force status not stated
16 Couple family: Both unemployed
17 Couple family: One unemployed, other not in the labour force
18 Couple family: One unemployed, other labour force status not stated
19 Couple family: Both not in the labour force
20 Couple family: One not in the labour force, other labour force status not stated
21 Couple family: Both labour force status not stated
22 One parent family: Employed, worked full-time
23 One parent family: Employed, worked part-time
24 One parent family: Employed, away from work
25 One parent family: Unemployed
26 One parent family: Not in the labour force
27 One parent family: Labour force status not stated
28 Other family
@@ Not applicable

Number of categories:  29

Not applicable (@@) category comprises:

  • Non-family/Non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

'Away from work' includes parents/partners who either:

  • did not state the number of hours worked
  • did not work any hours in the week prior to Census night

'Labour force status not stated' includes couple families where:

  • one or both parents/partners did not state their labour force status
  • one parent/partner was temporarily absent on Census night

‘Part-time’ is classified as a person who worked less than 35 hours in all jobs during the week prior to Census night.

‘Full-time’ is classified as a person who has worked 35 hours or more in all jobs during the week prior to Census night.

Question(s) from the Census form

What is the person’s relationship to Person 1/Person 2?

Last week, did the person have a job of any kind?

Last week, how many hours did the person work in all jobs?

How this variable is created

Couple families and one parent families are identified from the Family composition (FMCF) variable. For these families the Labour force status (LFSP) and Hours worked (HRSP) for each parent in the family is used to determine which category the family fits into.

History and changes

This variable was first introduced in 2011, with some minor changes implemented in 2016.  

No changes have been made for 2021.

Data use considerations

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Comparing Census with ABS Labour Force Survey

The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey

Related variables and glossary terms

Labour force status (LFSP)

Definition

This variable records a person’s labour force status for the week prior to Census Night.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Employed, worked full-time
2 Employed, worked part-time
3 Employed, away from work
4 Unemployed, looking for full-time work
5 Unemployed, looking for part-time work
6 Not in the labour force
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  9

Not applicable (@) category comprises:

  • Persons aged under 15 years

'Employed, away from work' also includes persons who stated they worked but who did not state the number of hours worked.

'Full-time' work means 35 hours or more per week in all jobs.

'Part-time' work means less than 35 hours per week in all jobs. 

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business?

Last week, how many hours did the person work in all jobs?

Did the person actively look for work at any time in the last four weeks?

If the person had found a job, could the person have started work last week?

How this variable is created

Labour force status (LFSP) is derived using responses to questions on:

  • full/part-time job
  • job last week
  • hours worked
  • looking for work and
  • availability to start work

The derivation method takes into account answers to these questions to derive the most appropriate Labour force status. Occupation information may sometimes be used.

History and changes

Questions relating to labour force status were first asked in the 1911 Census. Response categories were revised in 2006 to align more closely with ABS labour force concepts.

Minor changes were made in 2016 to two of the five questions that contribute to the Labour force status variable. Minor changes were also made to the instructions on the online Census form.

For 2021, an instruction was added to the online form to provide guidance to people in COVID-19 affected areas on Census day. Additional instructions were also added to the Census website – see Data use considerations below for more details.

Data use considerations

The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond to the employment question was provided at the time on the Census website, as follows: 

'If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Those who were not working four weeks prior to the lockdown were asked to select 'No, did not have a job'. People who responded 'No, did not have a job' are not considered to be ‘employed’ and will instead be either ‘unemployed’ or ‘not in the labour force’, depending on their responses to other questions. This is regardless of whether they still have an attachment to their job during lockdown. People can be ‘unemployed’ or ‘not in the labour force’ while receiving the COVID-19 Disaster Payment or the JobSeeker Payment. To be categorised as ‘unemployed’ people must have not worked, be actively looking for work and available to start work. During lockdowns many people leaving employment will also leave the labour force entirely, given the challenges in actively look for work and being available for work.

Community Development Program

People participating only in the Community Development Program are not considered to be employed for the Census. They are considered unemployed or not in the labour force, depending on their job search activities and availability. For further information see Community Development Program participation (CDPP).

Comparing Census with ABS Labour Force Survey

The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.

Related variables and glossary terms

Occupation (OCCP)

Definition

This variable describes the primary job or occupation held by employed people in the week prior to Census Night.

Occupation data in 2021 is available up to the 6-digit level. This allows for a more detailed look at occupation.

The variable Occupation experimental update version 1 (OCCEV1P) is also available, this is coded using the Australian and New Zealand Standard Classification of Occupations, 2021 Australian Update.

Scope

Employed persons aged 15 years and over

Categories

Occupation is coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2013, Version 1.3. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Managers

2 Professionals

3 Technicians and Trades Workers

4 Community And Personal Service Workers

5 Clerical And Administrative Workers

6 Sales Workers

7 Machinery Operators and Drivers

8 Labourers

Supplementary Codes

Number of categories: 

  • One digit level: 8   
  • Two digit level: 51
  • Three digit level: 134
  • Four digit level: 478
  • Six digit: 1,357

Not applicable (@@@@@@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP), not stated
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the main job held last week, what was the person’s occupation?

Targeted supplementary questions for occupation

What are the main tasks that the person usually performs in that occupation?

For the main job held last week, what was the employer’s business name?

What best describes the industry or business of the employer at the location where the person works?

What are the main goods produced or main services provided by the employer’s business?

How this variable is created

This variable is mainly coded based on the write-in responses to questions asking for the person’s occupation title and main tasks performed. Other occupation questions may also be used to assist with quality coding.

Occupation is coded using the ANZSCO, 2013, Version 1.3. Since the 2016 Census, the ANZSCO has been updated from Version 1.2 to Version 1.3.

Not all responses easily fit into an occupation as listed in the classification, so are coded to a higher level which covers any possible options, for that response. These are more general ‘not further defined (nfd)’ codes and end in one or more zeroes.

Occupation coding is reliant on a variety of processes. All text response fields that contribute to occupation coding are first auto-repaired before being sent through an auto-coding process. The remaining responses that did not successfully achieve a code are examined by ABS clerical staff and independently assessed for an ANZSCO code.

Where insufficient information is provided in a response for assigning an ANZSCO code an 'Inadequately described' code is allocated during processing.

History and changes

Questions relating to Occupation were first asked in the 1911 Census. Prior to the 1986 Census, a single question was asked about title of occupation. In 1986 a second question on main tasks or duties that a person usually performed in their job was included to improve the quality of coding. The questions have remained the same for subsequent censuses with some revision of the examples and instructions only.

From 2016, targeted supplementary questions (TSQs) were asked in the online form to clarify common not further defined responses.

In 2016 the ANZSCO, 2013 version 1.2 was used. For 2021, Occupation is coded to the updated version to Australian and New Zealand Standard Classification of Occupations, 2013, Version 1.3  

In 2021, several minor wording and response order changes were made to the targeted supplementary questions (TSQs). Additionally, from 2021 Occupation is now output down to the 6-digit level to allow for more detailed occupation data to be accessible. Previously the 6-digit level data was only accessible via data requests.

Data use considerations

Collecting both occupation title and task information ensures more accurate coding of occupations. This data is essential for:

  • labour market analysis
  • policy formation

Changes in the occupational composition of the labour force are important for planning at the industry and geographic area levels.

The data is used in analyses of education and training needs, and as indicators for industry assistance programs.

Small area data on occupation are important in regional planning; in examining the occupational mobility of ethnic and other minority groups; and in measuring socioeconomic status variability between regions.

The introduction of targeted supplementary questions in the online Census has reduced 'not further defined' categories across some Occupations and classified responses into more detailed Occupation categories. 

Unlike most Census variables, the non-response rate for Occupation (OCCP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Occupation.

The non-response rate for Occupation (OCCP) was 0.8% in 2021. This is an increase from 0.7% in 2016.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows: 

'If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).'
 

Related variables and glossary terms

Data downloads

Data files

Main source of personal income (administrative data) (ISAP)

Definition

This variable indicates the main source of income that a person received based on all income recorded in administrative data for the 2020/2021 financial year. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Persons aged 15 years and over

Categories

CodeCategory
0Nil or negative income
1Employee wages and salary
2Government benefits and allowances
3Own unincorporated business income
4Superannuation income
5Investment income
6Other income
9Admin not available
@Not applicable
VOverseas visitor 

Number of categories: 10

Admin not available (9) category comprises:

  • Persons who were not able to be linked to PLIDA, and therefore did not have administrative income information available

Not applicable (@) category comprises:

  • Persons aged under 15 years

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable. 

The main source of income is the category with the largest total income recorded between 1 July 2020 and 30 June 2021. This variable does not record the dollar amount of income earned; it records what the main source of income is.  

For example, a person may have earned substantial income from a salary and received a small amount of additional income from investments. This variable only records the main source of their income, in this case a salary.  

In the case of a person receiving the same amount of income from two or more sources, the main source of income was selected by choosing the income type which was higher in the following ranked list: 

  1. Employee wages and salary 
  2. Government benefits and allowances 
  3. Own unincorporated business income 
  4. Superannuation income 
  5. Investment income 
  6. Other income 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on income information recorded in linked administrative data, and not data collected from a Census question. 

Comparison to other ABS Surveys 

Although other ABS surveys, such as the Survey of Income and Housing and Person Income in Australia, collect similar data relating to personal income, they are not directly comparable. This is due to differences in scope, collection methodology, the time period the collection relates to, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately. 

Financial Year income as a measure of usual income 

Financial Year income from the administrative data is used to measure the main source of income. The Financial Year captures longer term trends of income and is not subject to short term changes around Census time. This means that this variable may not align with what a person earned, or usually earned around the time of the Census. 

Superannuation income in administrative data 

The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office.  

This means that we have under-recorded the amount of income people received from superannuation. In these cases, the main source of personal income would either be set to another income type (where the person also received income from another source) or income for this person would be incorrectly set to Nil.  

This has resulted in a known undercount of the number of people with superannuation as their main source of personal income, and an overcount of the number of people with other income types as their main source of personal income.   

Linkage rates between Census and administrative data 

This variable relies upon the accurate linkage of Census to the administrative data. Data linkage rates (denoted through the 99 and 9999 categories) need to be considered in conjunction with the administrative income when assessing totals.  

Lockdown 

A number of regions across the country were in various stages of lockdown due to the COVID-19 pandemic throughout the 2020/2021 Financial Year. This resulted in a greater number of people being temporarily stood down, which impacted the main source of income recorded in administrative data. 

Related variables and glossary terms

Useful links

Occupation experimental update version 1 (OCCEV1P)

Definition

This variable describes the primary job or occupation held by employed people in the week prior to Census Night. Occupation data in 2021 is available to the 6-digit level, allowing for a detailed look at occupation.

The classification used for the creation of this variable was an experimental Australian update to the Australian and New Zealand Standard Classification of Occupations (ANZSCO). This was a targeted update limited to occupations relating to agriculture, cyber security, naval ship building and emerging occupations and relates to the Australian labour market only. The ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 represents the 2021 Australian update.

The variable Occupation (OCCP) is also available, this is coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2013, Version 1.3.

Scope

Employed persons aged 15 years and over

Categories

Occupation experimental update version 1 (OCCEV1P) is coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2021 Australian Update. The categories are listed in groups below. The full list is available from the Data downloads on this page. 

1 Managers

2 Professionals

3 Technicians and Trades Workers

4 Community and Personal Service Workers

5 Clerical and Administrative Workers

6 Sales Workers

7 Machinery Operators and Drivers

8 Labourers

Supplementary Codes

Number of categories: 

  • One digit level: 8   
  • Two digit level: 51
  • Three digit level: 137
  • Four digit level: 483
  • Six digit: 1,409

Not applicable (@@@@@@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP), not stated
  • Persons aged under 15 years
  • See Understanding supplementary codes for more information.

Question(s) from the Census form

In the main job held last week, what was the person’s occupation?

Targeted supplementary questions for occupation

What are the main tasks that the person usually performs in that occupation?

For the main job held last week, what was the employer’s business name?

What best describes the industry or business of the employer at the location where the person works?

What are the main goods produced or main services provided by the employer’s business?

How this variable is created

This variable is primarily coded based on the write-in responses to questions asking for the person’s occupation title and main tasks performed. Other occupation questions may also be used to assist with quality coding.

Not all responses easily fit into an occupation as listed in the classification. In these cases responses are coded to a higher level of the ANZSCO 2021 Australian Update which covers any possible options for that response. These are more general ‘not further defined (nfd)’ codes and end in one or more zeroes.

Occupation coding is reliant on a variety of processes. All text response fields that contribute to occupation coding are first auto-repaired before being sent through an auto-coding process. The remaining responses that did not successfully achieve a code are examined by ABS clerical staff and independently assessed for an ANZSCO 2021 Australian Update code.

Responses with insufficient information to assign an ANZSCO code are coded to ‘Inadequately described’.

History and changes

This is a new variable for 2021 based on the 2021 Australian update to the ANZSCO.

Data use considerations

Collecting both occupation title and task information ensures more accurate coding of occupations. This data is essential for:

  • labour market analysis
  • policy formation

Changes in the occupational composition of the labour force are important for planning at the industry and geographic area levels.

The data is used in analyses of education and training needs, and as indicators for industry assistance programs.

Small area data on occupation are important in regional planning; in examining the occupational mobility of ethnic and other minority groups; and in measuring socioeconomic status variability between regions.

The introduction of targeted supplementary questions in the online Census has reduced 'not further defined' categories across some Occupations and classified responses into more detailed Occupation categories. 

Care should be taken when using this variable. The update is only relevant to occupations relating to agriculture, cyber security, naval ship building, and emerging occupations identified by the National Skills Commission. If these occupations are not relevant to your data needs, it is recommended to use the Occupation (OCCP) variable instead.

The non-response rate for Occupation experimental update version 1 (OCCEV1P) was 0.8% in 2021.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows: 

'If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).'

Related variables and glossary terms

  • Industry of employment (INDP)
  • Occupation (OCCP)
  • Occupation skill level (OCSKP)
  • Occupation skill level experimental update version 1 (OCSKEV1P)
  • Job

Data downloads

Occupation experimental update version 1 classification

Occupation skill level (OCSKP)

Definition

This variable describes the skill level of a person's occupation. Level one is the highest level of skill and level five is the lowest level of skill. The skill level is determined from the characteristics of the person's occupation (OCCP), rather than the skill level of the person themselves.

Scope

Employed persons aged 15 years and over

Categories

Code Category
1 Skill level one
2 Skill level two
3 Skill level three
4 Skill level four
5 Skill level five
9 Skill level not determined
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  9

Not applicable (@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP), not stated
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the main job held last week, what was the person’s occupation?

What are the main tasks that the person usually performs in that occupation?

For the main job held last week, what was the employer’s business name?

What best describes the industry or business of the employer at the location where the person works?

What are the main goods produced or main services provided by the employer’s business?

How this variable is created

This variable is created from the Occupation (OCCP) variable. An occupation is coded using the ANZSCO – Australian and New Zealand Standard Classification of Occupations, 2013, Version 1.3 at the 6-digit level to determine the Occupation skill level for the stated occupations. The relationship between occupation and occupation skill level is defined in the ANZSCO. Occupations that are not further defined (nfd) (e.g. 'Manager nfd') do not have a corresponding skill level in the ANZSCO. 2016 Census data was used to determine what skill levels should be assigned to occupations that were not further defined.

History and changes

This variable is new for 2021.

Data use considerations

It is possible for a highly skilled person to work in a low skilled job/occupation, and it's also possible for a low skilled person (or a person with low or no formal qualifications) to work in a high skilled job.

This variable is derived from the Occupation (OCCP) variable. The non-response rate for Occupation (OCCP) was 0.8% in 2021. This is an increase from 0.7% in 2016.

Related variables and glossary terms

  • Occupation (OCCP)
  • Occupation Skill Level Experimental Update Version 1 (OCSKEV1P)

Occupation skill level experimental update version 1 (OCSKEV1P)

Definition

This variable describes the skill level of a person's occupation. Level one is the highest level of skill and level five is the lowest level of skill. The skill level is set by the person's occupation (OCCP), rather than the skill level of the person themselves.

Occupation skill level experimental update version 1 has been created based on the ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 Australian Update. This update relates to the Australian labour market only.

Scope

Employed persons aged 15 years and over

Categories

Code Category
1 Skill level one
2 Skill level two
3 Skill level three
4 Skill level four
5 Skill level five
9 Skill level not determined
& Not stated
@ Not applicable
V Overseas visitors

Number of categories: 9

Not applicable (@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with labour force status (LFSP),not stated
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the main job held last week, what was the person’s occupation?

Targeted supplementary questions for occupation

What are the main tasks that the person usually performs in that occupation?

For the main job held last week, what was the employer’s business name?

What best describes the industry or business of the employer at the location where the person works?

What are the main goods produced or main services provided by the employer’s business?

How this variable is created

This variable is created from the Occupation Experimental Update Version 1 (OCCEV1P) variable. An occupation is coded using the ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 at the 6-digit level to determine the Occupation skill level for the stated occupations. The relationship between occupation and occupation skill level is defined in the ANZSCO. Each 6-digit occupation is assigned a single skill level, however, the higher level categories (e.g. ‘Managers’) may comprise occupations at multiple skill levels. Therefore some ‘not further defined’ (nfd) codes (e.g. 'Managers nfd') do not have a corresponding skill level in the ANZSCO. In such cases, 2016 Census data was used to determine which skill level should be assigned to the ‘not further defined’ code.

History and changes

This variable is new for 2021.

Data use considerations

It is possible for a highly skilled person to work in a low skilled job/occupation, and it's also possible for a low skilled person (or a person with low or no formal qualifications) to work in a high skilled job.

Care should be taken when using this variable. The update is only relevant to occupations relating to agriculture, cyber security, naval ship building, and emerging occupations identified by the National Skills Commission. If these occupations are not relevant to your data needs, it is recommended to use the Occupation skill level (OCSKP) variable instead.

This variable is derived from the Occupation experimental update version 1 (OCCEV1P) variable. The non-response rate for Occupation experimental update version 1 (OCCEV1P) was 0.8% in 2021. 

Related variables and glossary terms

  • Industry of employment (INDP)
  • Occupation (OCCP)
  • Occupation skill level (OCSKP)
  • Occupation experimental update version 1 (OCCEV1P)
  • Job

Status in employment (SIEMP)

Definition

This variable defines a person’s employment status for the main job held in the week prior to Census Night. 

If a person's status in employment cannot be determined as an owner manager of an incorporated or unincorporated enterprise, responses are categorised to 'Not stated'.

Scope

Employed persons aged 15 years and over

Categories

Code Category
1 Employee
2 Owner manager of incorporated enterprise with employees
3 Owner manager of incorporated enterprise without employees
4 Owner manager of incorporated enterprise - employees not stated
5 Owner manager of unincorporated enterprise with employees
6 Owner manager of unincorporated enterprise without employees
7 Owner manager of unincorporated enterprise - employees not stated
8 Contributing family worker
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  11

Not applicable (@) category comprises:

  • Persons aged under 15 years
  • Persons who are unemployed
  • Persons with Labour force status (LFSP) not stated
  • Persons not in the labour force

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business

Was the person’s business: Unincorporated; Incorporated (e.g. Pty Ltd)

Does the person’s business employ people?

How this variable is created

This variable is derived from responses to several questions on the Census form. Data is captured automatically from mark box responses. 

History and changes

Status in employment (SEIMP) was first introduced in 2016 to replace Employment type (EMTP) which was discontinued. This variable collects the same information at a more detailed level on whether the incorporated or unincorporated enterprise is with or without employees.

No changes have been made for 2021.

Data use considerations

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows: 

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Unlike most Census variables, the non-response rate for Status in employment (SIEMP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'Not stated' are not applicable to Status in employment (SIEMP).

The non-response rate for Status in employment (SIEMP) was 0.6% in 2021. This is a decrease from 1.0% in 2016.

Related variables and glossary terms

Total personal income (administrative data) (weekly) (INCAP)

Definition

This variable indicates the total weekly income (in ranges) that a person received, based on all income recorded in administrative data for the 2020/2021 financial year. Annual income amounts appear in brackets. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.

Scope

Persons aged 15 years and over

Categories

Two-digit level (annual income ranges are displayed within brackets)
CodeCategory
01Negative income  
02Nil income  
03$1-$149 ($1-$7,799) 
04$150-$299 ($7,800-$15,599) 
05$300-$399 ($15,600-$20,799) 
06$400-$499 ($20,800-$25,999) 
07$500-$649 ($26,000-$33,799) 
08$650-$799 ($33,800-$41,599) 
09$800-$999 ($41,600-$51,999) 
10$1,000-$1,249 ($52,000-$64,999) 
11$1,250-$1,499 ($65,000-$77,999) 
12$1,500-$1,749 ($78,000-$90,999) 
13$1,750-$1,999 ($91,000-$103,999) 
14$2,000-$2,499 ($104,000-$129,999) 
15$2,500-$2,999 ($130,000-$155,999) 
16$3,000-$3,499 ($156,000-$181,999) 
17$3,500-$3,999 ($182,000-$207,999) 
18$4,000-$4,499 ($208,000-$233,999) 
19$4,500-$4,999 ($234,000-$259,999) 
20$5,000-$5,999 ($260,000-$311,999) 
21$6,000-$7,999 ($312,000-$415,999) 
22$8,000-$9,999 ($416,000-$519,999) 
23$10,000 or more ($520,000 or more) 
99Admin not available
@@Not applicable
VVOverseas visitor 
Four-digit level
CodeCategory
0001Negative income 
0002Nil income  
0003$1-$9  
0004 - 1002$10-$19 to $9,990-$9,999 in ten-dollar ranges 
1003$10,000 or more 
9999Admin not available 
@@@@Not applicable 
VVVVOverseas visitor  

Number of categories:   

  • Two-digit level: 26
  • Four-digit level: 1006    

Admin not available (99, 9999) categories comprise: 

  • Persons who were not able to be linked to PLIDA, and therefore did not have administrative income information available. 

Not applicable (@@, @@@@) categories comprise: 

  • Persons aged under 15 years 

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.  

This variable captures weekly income, based on all income recorded between 1 July 2020 and 30 June 2021 from the following types of income: 

  • Employee wages and salary 
  • Government benefits and allowances 
  • Own unincorporated business income 
  • Superannuation income 
  • Investment income 
  • Other income (for example transfer or trust income; controlled foreign company income; net foreign pension and annuity income; and foreign investment and life insurance income) 

The weekly income is calculated by dividing the total income recorded by 52. 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.  

Comparison to Census income data 

Although this variable provides an alternative, more detailed view on income to the income data collected via the Census form, there are several important differences to consider.

Collection method 

This variable was not derived from data collected via the Census form, rather it was collected directly from administrative data sources. Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.  

Financial year income used to determine weekly income 

Financial year income from the administrative data is used as a measure of weekly income. This captures longer term trends of income and is not subject to short term changes around Census time. This means that this variable may not align with what a person reported they earned, or usually earned around the time of the Census.  

The administrative variable may include lump sums or one-off payments that don’t reflect a person’s usual income.  

This variable may understate usual weekly income where a person worked for only part of the year. 

Superannuation income in administrative data 

The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office. This has resulted in the undercount of total income received for some people with superannuation income. 

Linkage between Census and administrative data 

This variable relies upon the accurate linkage of Census to the administrative data. Data linkage rates (denoted through the 99 and 9999 categories) need to be considered in conjunction with the administrative income when assessing totals.  

Lockdown 

A number of regions across the country were in various stages of lockdown due to the COVID-19 pandemic throughout the 2020/2021 financial year. This resulted in a greater number of people being temporarily stood down, which impacted their income recorded in administrative data.  

Comparison to other ABS Surveys 

Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to personal income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.  

Related variables and glossary terms

Useful links

Total family income (administrative data) (weekly) (FINAF)

Definition

This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each family member aged 15 years or older who was present in the household on Census Night. This excludes families where one or more family members aged 15 years and over did not have income information available in administrative data or was absent from the dwelling on Census Night. These families are coded to the 'Partial incomes available' and total family incomes are not calculated. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Families in family households

Categories

Two-digit level (annual income ranges are displayed within brackets)
CodeCategory
01Negative income  
02Nil income  
03$1-$149 ($1-$7,799) 
04$150-$299 ($7,800-$15,599) 
05$300-$399 ($15,600-$20,799)
06$400-$499 ($20,800-$25,999)
07$500-$649 ($26,000-$33,799)
08$650-$799 ($33,800-$41,599)
09$800-$999 ($41,600-$51,999)
10$1,000-$1,249 ($52,000-$64,999)
11$1,250-$1,499 ($65,000-$77,999)
12$1,500-$1,749 ($78,000-$90,999)
13$1,750-$1,999 ($91,000-$103,999)
14$2,000-$2,499 ($104,000-$129,999)
15$2,500-$2,999 ($130,000-$155,999)
16$3,000-$3,499 ($156,000-$181,999)
17$3,500-$3,999 ($182,000-$207,999)
18$4,000-$4,499 ($208,000-$233,999)
19$4,500-$4,999 ($234,000-$259,999)
20$5,000-$5,999 ($260,000-$311,999)
21$6,000-$7,999 ($312,000-$415,999)
22$8,000-$9,999 ($416,000-$519,999)
23$10,000 or more ($520,000 or more)
88Partial incomes available
99Admin not available
@@Not applicable
Four-digit level
CodeCategory
0001Negative income 
0002Nil income  
0003$1-$9  
0004 - 1002$10-$19 to $9,990-$9,999 in ten-dollar ranges 
1003$10,000 or more 
8888Partial incomes available 
9999Admin not available 
@@@@Not applicable 

Number of categories:   

  • Two-digit level: 26 
  • Four-digit level: 1006    

Admin not available (99, 9999) category comprises: 

  • Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available   

Not applicable (@@, @@@@) category comprises: 

  • Non-family/Non-classifiable households 
  • Unoccupied private dwellings 
  • Non-private dwellings 
  • Migratory, off-shore and shipping SA1s  

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.   

This variable is calculated by summing the personal incomes recorded in administrative data for all family members aged 15 years and over.  

Families where all or at least one family member aged 15 and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data are set to: 

  • 'Admin not available' and 
  • 'Partial incomes available' respectively. 

Families where at least one member aged 15 and over was absent from the dwelling on Census Night are also set to 'Partial incomes available'.  

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.  

Comparison to Census income data

Although this variable provides an alternative, more detailed view on income to income data collected via the Census form, there are differences to consider.

Method to calculate family income 

The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate family income. 

Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.  

Comparisons to other family data 

This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions. 

Related variables and glossary terms

Useful links

Main type of family government benefit payment (administrative data) (FGAF)

Definition

This variable indicates the main type of government benefit payment that a family received. This is based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census Night. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Families in family households

Categories

CodeCategory
00Nil or negative income
01Age Pension
02Austudy/ABSTUDY
03Carer Allowance
04Carer Payment
05Dad and Partner Pay
06Disability Support Pension
07Family Tax Benefits
08Future Flexible Support Payment
09Mobility Allowance
10Newstart Allowance and JobSeeker
11Paid Parental Leave Payment
12Parenting Payment
13Special Benefit
14Widow Allowance
15Youth Allowance
16Other government pensions and allowances
17Type of benefit unknown
18Did not receive government pension or allowance
99Admin not available
@@Not applicable

Number of categories: 21

Admin not available (99) category comprises: 

  • Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available 

Not applicable (@@) category comprises: 

  • Non-family/Non-classifiable households 
  • Unoccupied private dwellings 
  • Non-private dwellings 
  • Migratory, off-shore and shipping SA1s

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. PLIDA contains data on government benefits, pensions, and allowances from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable. 

This variable is calculated based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. This includes families where one or more members did not have income information available in administrative data or where one or more members were absent from the dwelling on Census Night. 

The main type of government benefit payment is the category with the largest amount recorded. This variable does not record the dollar amount of government benefits, pensions, and allowances received; it records what the main benefit type is. 

All payments recorded in the administrative data are included, however some government benefit payments have been excluded from this variable as they are deemed not to represent income. The excluded payments are: 

  • Rent Assistance 
  • Fares Allowance 
  • HECS or Course Fees 
  • Student Start-up Loan 
  • Home Equity Access Scheme / Pension Loans Scheme 
  • Commonwealth Seniors Health Card 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on government benefit, pension and allowance information recorded in linked administrative data, and is not data collected from a Census question. 

Comparisons to other family data

This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.

Related variables and glossary terms

Useful links

Total household income (administrative data) (weekly) (HINAD)

Definition

This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each resident aged 15 years or older who was present in the household on Census Night. This excludes households where one or more resident did not have income information available in administrative data or was absent from the dwelling on Census Night. These households are coded to the 'Partial incomes available' and total household incomes are not calculated. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. 

Scope

Occupied private dwellings

Categories

Two-digit level (annual income ranges are displayed within brackets)
CodeCategory
01Negative income  
02Nil income  
03$1-$149 ($1-$7,799) 
04$150-$299 ($7,800-$15,599) 
05$300-$399 ($15,600-$20,799) 
06$400-$499 ($20,800-$25,999) 
07$500-$649 ($26,000-$33,799) 
08$650-$799 ($33,800-$41,599) 
09$800-$999 ($41,600-$51,999) 
10$1,000-$1,249 ($52,000-$64,999) 
11$1,250-$1,499 ($65,000-$77,999) 
12$1,500-$1,749 ($78,000-$90,999) 
13$1,750-$1,999 ($91,000-$103,999) 
14$2,000-$2,499 ($104,000-$129,999) 
15$2,500-$2,999 ($130,000-$155,999)
16$3,000-$3,499 ($156,000-$181,999) 
17$3,500-$3,999 ($182,000-$207,999) 
18$4,000-$4,499 ($208,000-$233,999) 
19$4,500-$4,999 ($234,000-$259,999) 
20$5,000-$5,999 ($260,000-$311,999)
21$6,000-$7,999 ($312,000-$415,999) 
22$8,000-$9,999 ($416,000-$519,999) 
23$10,000 or more ($520,000 or more) 
88Partial incomes available 
99Admin not available 
@@Not applicable 
Four-digit level
CodeCategory
0001Negative income  
0002Nil income  
0003$1-$9  
0004 - 1002$10-$19 to $9,990-$9,999 in ten-dollar ranges 
1003$10,000 or more 
8888Partial incomes available 
9999Admin not available 
@@@@Not applicable 

Number of categories:

  • Two-digit level: 26
  • Four-digit level: 1006

Admin not available (99, 9999) category comprises:

  • Households where no persons were able to be linked to PLIDA, and therefore the household did not have any administrative income information available

Not applicable (@@, @@@@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings 
  • Migratory, off-shore and shipping SA1s 
  • Other non-classifiable households 

How this variable is created

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.   

This variable is calculated by summing the personal incomes recorded in administrative data of all household members aged 15 years and over. 

Households where all or at least one member aged 15 and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data are set to: 

  • ‘Admin not available’ and 
  • ‘Partial incomes available’ respectively. 

Households where at least one member aged 15 and over was away from the dwelling on Census Night are also set to ‘Partial incomes available’. 

In most cases, the income of visitors to a household are excluded from this variable. The exception to this is households that comprise only visitors. 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.  

Comparison to Census income data 

Although this variable provides an alternative, more detailed view on income to income data collected via the Census form, there are differences to consider.

Method to calculate household income 

The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate household income. 

Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.  

Comparison to other ABS Surveys 

Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to household income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.  

Related variables and glossary terms

Useful links

Main type of household government benefit payment (administrative data) (HGAD)

Definition

This variable indicates the main type of government benefit payment that a household received. This is based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. 

This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data (PLIDA) data asset to the Census. 

Scope

Occupied private dwellings

Categories

CodeCategory
00Nil or negative income
01Age Pension
02Austudy/ABSTUDY
03Carer Allowance
04Carer Payment
05Dad and Partner Pay
06Disability Support Pension
07Family Tax Benefits
08Future Flexible Support Payment
09Mobility Allowance
10Newstart Allowance and JobSeeker
11Paid Parental Leave Payment
12Parenting Payment
13Special Benefit
14Widow Allowance
15Youth Allowance
16Other government pensions and allowances
17Type of benefit unknown
18Did not receive government pension or allowance
99Admin not available
@@Not applicable

 Number of categories:  21

Admin not available (99) category comprises:

  • Households where no persons were able to be linked to PLIDA, and therefore did not have any administrative income information available

Not applicable (@@) category comprises:

  • Non-private dwellings
  • Unoccupied private dwellings
  • Migratory, off-shore and shipping SA1s
  • Other non-classifiable households

How this variable is created

This variable wasn’t derived from data collected directly on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains data on government benefits, pensions, and allowances from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable. 

This variable is calculated based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. This includes households where one or more residents did not have income information available in administrative data or where one or more residents were absent from the dwelling on Census Night. 

The main type of government benefit payment is the category with the largest amount recorded. This variable does not record the dollar amount of government benefits, pensions, and allowances received; it records what the main benefit type is. 

All payments recorded in the administrative data are included, however some government benefit payments have been excluded from this variable as they are deemed not to represent income. The excluded payments are: 

  • Rent Assistance 
  • Fares Allowance 
  • HECS or Course Fees 
  • Student Start-up Loan 
  • Home Equity Access Scheme / Pension Loans Scheme 
  • Commonwealth Seniors Health Card 

History and changes

This is a new variable for 2021.

Data use considerations

This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on government benefit, pension and allowance information recorded in linked administrative data, and is not data collected from a Census question. 

Related variables and glossary terms

Useful links

Location

Mnemonic  Variable  Release  
IFPOWP Imputation flag for place of work October 2022
IFPURP Imputation flag for place of usual residence June 2022
MV1D Household one year mobility indicator October 2022
MV5D Household five year mobility indicator October 2022
POWP Place of work October 2022
PUR1P Place of usual residence one year ago October 2022
PUR5P Place of usual residence five years ago October 2022
PURP Place of usual residence June 2022
UAI1P Usual address one year ago indicator October 2022
UAI5P Usual address five years ago indicator October 2022
UAICP Usual address indicator Census night June 2022

Imputation flag for place of work (IFPOWP)

Definition

This variable indicates if a person's place of work in the week before Census Night was imputed, and to what geographic level. Some people may provide an incomplete address for their place of work, and this flag indicates the geographic level at which imputation was then required. The address of the person’s workplace is coded to a Destination zone (DZN). Destination zones are co-designed with state and territory transport authorities.

People who have not provided enough information to have their place of work coded to a DZN will have this information imputed. Imputation is a statistical process for predicting values where no response was provided to a question and therefore a response could not be derived. The Imputation flag for place of work (IFPOWP) variable can be used to identify records whose place of work has been imputed. It provides information on the level of response a person provided to the question 'For the main job held last week, what was the person’s workplace address?'.

Scope

All persons aged 15 years and over who listed their employment status as ‘Employed’

Categories

Code Category
1 Workplace address not imputed
2 Workplace address imputed – SA2 stated
3 Workplace address imputed – Capital city stated
4 Workplace address imputed – State/Territory stated
5 Workplace address imputed – Not stated
@ Not applicable
V Overseas visitor

Number of categories: 7

Not applicable (@) category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP) not stated
  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

For the main job held last week, what was the employer’s business name?

For the main job held last week, what was the person’s workplace address?

How this variable is created

This is a derived variable created during Census processing to indicate whether place of work is imputed. Where an incomplete place of work address is given, place of work is imputed at different geography levels using the Australian Statistical Geography Standard (ASGS). This variable is coded based on what level the respondent’s place of work is imputed.

Respondents that provided partial or no information about their place of work will have a Place of work (POWP) DZN imputed to them. This is imputed based on the distribution of responses observed in the responding population. Depending on the level of imputation required, the following variables (where available) may be used in its method:

  • Place of usual residence (PURP)
  • Industry of employment (INDP)
  • Method of travel to work (MTWP)

History and changes

A question on place of work was first asked in 1971 with similar questions having been asked in every Census since then. The POWP variable was used for the first time in the 2006 Census and replaced the Journey to Work variable which was used prior to that.

Data is available for DZN in TableBuilder Pro. Prior to 2011, DZN data was only available via customised request. DZN boundaries were updated for 2016 and the new IFPOWP variable was introduced.

For 2021 a new instruction has been added to the online form to help people who are in COVID-19 affected areas answer the place of work question. Additional instructions were also added to the Census website – see Data use considerations for more details.

Data use considerations

The non-response rate for Place of Work is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Place of Work.

Using the Imputation flag for Place of work (IFPOWP), the non-response rate for Place of work (POWP) was 11.1% in 2021. This is a increase from 10.0% in 2016. For more information on imputation, see Census Methodology.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. This may impact their responses for their place of work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:

  • For people who usually work from home, and did not have any other workplace, write the home address
  • For people who are working from home temporarily due to COVID-19, write the workplace address they would normally be at.

Be aware that people may have put their home address as the workplace address despite instructions to put the regular work address if they were working from home during COVID-19 lockdown. 

Comparability of Destination zones over time 

DZN are not comparable across censuses due to changes to both the boundary and code structure.

POWP is a hierarchical classification, ranging from the broadest geographic level (Australia), to the finest level (DZN). The categories in this variable have changed to reflect the updated ASGS used for the 2021 Census. Data is also available for Local Government Areas to assist with time series comparison.

Journey to work information

Data for POWP, PURP and MTWP can be cross-classified to:

  • examine movements of people to and from work
  • analyse transport patterns
  • assist in the planning for transport systems
  • develop and release residential and commercial land.

Journey to work data is used by:

  • transport authorities
  • associated bodies
  • organisations
  • other interested people.

It is important to note that the different variables for cross-classification represent different time frames and can produce outliers in the data due to a variety of reasons. Variables are listed below: 

  • POWP refers to a person’s workplace address last week
  • PURP refers to where a person usually lives (which may or may not be where they were counted on Census Night)
  • MTWP refers to how the person travelled to work on the day of the Census
Examples of how cross-classification can affect the data
  Example 1 Example 2
Scenario A person spent the previous night in Brisbane with a friend and walked to work in Brisbane City. She then caught a train to her parent's place on the Gold Coast (which she also regarded as her usual place of residence) that evening when she was enumerated A person mainly worked in Alice Springs in the week prior to the Census. However, the person moved to Sydney in the intervening week and took a ferry to their new place of employment
Area of enumeration Gold Coast

Manly

Place of usual residence Gold Coast Manly
Place of work Brisbane City

Alice Springs

Method of transport to work Walked Only Ferry

Related variables and glossary terms

Imputation flag for place of usual residence (IFPURP)

Definition

This variable indicates if a person's place of usual residence was imputed in the Census, and to what geographic level. Some people may provide an incomplete address of usual residence, and this flag indicates the geographic level at which imputation was then required.

Scope

All persons

Categories

Code Category
01 Not imputed – State/Territory, SA2 and SA1 stated
02 SA1 imputed – State/Territory and SA2 stated
03 SA2 and SA1 imputed – State/Territory and/or Capital City provided
04 State/Territory, SA2 and SA1 imputed

Number of categories: 4

Question(s) from the Census form

Where does the person usually live?

How this variable is created

This is a derived variable created during Census processing to indicate whether usual address is imputed. Where incomplete address of usual residence is given, place of usual residence is imputed at different geography levels using the Australian Statistical Geography Standard. This variable is coded based on what level the respondent’s place of usual residence is imputed.

For more information about imputation, see Place of usual residence (PURP) and imputation in the Census Glossary.

History and changes

Prior to the 1961 Census, questions did not differentiate between place of enumeration and place of usual residence. A question relating to Place of usual residence was first asked in the 1971 Census and has been asked at every Census since then.

No changes have been made for 2021.

Data use considerations

There are no data use considerations for this variable.

Using the Imputation flag for place of usual residence (IFPURP), the non-response rate for Place of usual residence (PURP) at the Statistical Area Level 2 (SA2) geographic level was 4.3% in 2021. This is a decrease from 5.4% in 2016. 

The non-response rate at the Statistical Area Level 1 (SA1) geographic level was 4.4% in 2021. This is a decrease from 5.5% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Household one year mobility indicator (MV1D)

Definition

This derived variable indicates if all, some, or none of the usual residents of a household on 10 August 2021 have a different usual address compared to one year earlier (i.e. 10 August 2020). Persons temporarily absent, visitors, and households containing only visitors, are excluded.

Scope

Family, group, lone person households

Categories

Code Category
1 All residents in the household aged one year and over had a different address one year ago
2 Some residents in the household aged one year and over had a different address one year ago
3 No residents in the household aged one year and over had a different address one year ago
& At least one resident did not state an address one year ago
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1s

Question(s) from the Census form

Where does the person usually live?

Where did the person usually live one year ago (at 10 August 2020)?

How this variable is created

This variable is derived from the questions asking for a person's place of usual residence on Census Night and one year ago. From this data it is possible to identify the change of address of people and show the movement of households for one year prior to the Census date. The dwelling can then be coded as having all, some, or no residents in the household having a different address one year ago.

Dwellings where at least one resident aged one year and over did not state their address one year ago are coded to ‘& At least one resident did not state an address one year ago’.

History and changes

The household mobility variable was first used for the 1991 Census. However, data about the change of addresses for individual persons, from which this variable is derived, has been collected since the 1976 Census.

In 2021, the reference year has been updated. The ‘Not stated’ category label has also been updated to ‘At least one resident did not state an address one year ago’.

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Household one year mobility indicator (MV1D) was 1.9% in 2021. This is a decrease from 6.2% in 2016. For this variable, the 'non-response' includes households in which one or more residents did not state their usual residence one year ago.

Related variables and glossary terms

Household five year mobility indicator (MV5D)

Definition

This derived variable indicates if all, some, or none of the usual residents of a household on 10 August 2021 have a different usual address compared to five years earlier (i.e. 10 August 2016). Persons temporarily absent, visitors, and households containing only visitors, are excluded.

Scope

Family, group, lone person households

Categories

Code Category
1 All residents in the household aged five years and over had a different address five years ago
2 Some residents aged five years and over had a different address five years ago
3 No residents aged five years and over had a different address five years ago
& At least one resident did not state an address five years ago
@ Not applicable

Number of categories: 5

Not applicable (@) category comprises:

  • Visitor only households
  • Other non-classifiable households
  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1

Question(s) from the Census form

Where does the person usually live?

Where did the person usually live one year ago (at 10 August 2020)?

Where did the person usually live five years ago (at 10 August 2016)?

How this variable is created

This variable is derived from questions asking for a person's place of usual residence on Census Night, one year ago and five years ago. The dwelling can then be coded as having all, some, or no residents in the household having a different address five years ago.

Dwellings where at least one resident aged five years and over did not state their address five years ago are coded to ‘& At least one resident did not state an address five years ago’.

History and changes

A variable on household mobility was first used for the 1991 Census. A question relating to place of usual residence five years ago was first asked in the 1971 Census and has been asked at every Census since then.

For 2021, output category labels have been updated to make the categories easier to understand.

Data use considerations

From this data it is possible to identify the change of address of people and show the movement of households for five years prior to the Census date.

The non-response rate for Household five year mobility indicator (MV5D) was 2.5% in 2021. This is a decrease from 2.9% in 2016. For this variable, the 'non-response' includes households in which one or more residents did not state their usual residence five years ago.

Related variables and glossary terms

Place of work (POWP)

Definition

This variable records the geographic area in which a person worked in the week before Census Night. The address of the person’s workplace is coded to a Destination zone (DZN). Destination zones are co-designed with state and territory transport authorities for the analysis of Place of work (POWP) data, commuting patterns and the development of transport policy.

Scope

Employed persons aged 15 years and over who listed their employment status as ‘Employed’

Categories

Place of work data is available for the following geographies:

  • State/Territory
  • Greater capital city statistical area
  • Statistical area 4
  • Statistical area 3
  • Statistical area 2
  • Local government areas
  • Destination zones

A list of categories is available from the Australian Statistical Geography Standard (ASGS) although the following supplementary codes are always included:

  • Not applicable
  • Overseas visitor

Number of categories: Available on request

Not applicable category comprises:

  • Unemployed persons, looking for either full-time or part-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP) not stated
  • Persons aged under 15 years

See Understanding supplementary codes for more information. 

Question(s) from the Census form

For the main job held last week, what was the employer’s business name?

For the main job held last week, what was the person’s workplace address?

How this variable is created

This variable is determined from written responses to the Business name and Workplace address questions on the Census form.

Most responses for POWP are coded automatically. The remaining responses go through a bulk coding process where groupings of the same business or property are assigned a POWP code. The responses that cannot be coded using either method are coded manually using a workplace index.

Responses are coded to units of geography known as DZN. DZNs are aggregates of whole Mesh blocks (though data is not coded to the Mesh block level), and aggregate to Statistical area level 2. Due to the hierarchical nature of the ASGS, place of work data is also available in the following geographies:

  • Statistical area level 3
  • Statistical area level 4
  • State/Territory and Greater capital city statistical area levels

Although DZNs do not fit neatly into Local Government Area (LGA) boundaries, a DZN to LGA correspondence is available to allow data to also be released at the LGA level. See the Data downloads section of this page to download the correspondence. 

History and changes

A question on place of work was first asked in 1971 with similar questions having been asked in every Census since then. The POWP variable was used for the first time in the 2006 Census and replaced the Journey to work variable which was used prior to that.

Data is available for DZN in TableBuilder Pro. Prior to 2011, DZN data was only available via customised request. DZN boundaries were updated for 2016 and the new Imputation flag for place of work (IFPOWP) variable was introduced.

For 2021 a new instruction has been added to the online form to help people who are in COVID-19 affected areas answer the place of work question. Additional instructions were also added to the Census website – see Data use considerations for more details.

Data use considerations

Using the Imputation flag for Place of work (IFPOWP), the non-response rate for Place of work (POWP) was 11.1% in 2021. This is an increase from 10.0% in 2016. For more information on imputation, see Census Methodology

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. This may impact their responses for their place of work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:

  • For people who usually work from home, and did not have any other workplace, write the home address
  • For people who are working from home temporarily due to COVID-19, write the workplace address they would normally be at.

Be aware that people may have put their home address as the workplace address despite instructions to put regular work address if they were working from home during COVID-19 lockdown.

Comparability of Destination zones over time 

DZN are not comparable across censuses due to changes to both the boundary and code structure.

POWP is a hierarchical classification, ranging from the broadest geographic level (Australia), to the finest level (DZN). The categories in this variable have changed to reflect the updated ASGS used for the 2021 Census. Data is also available for Local Government Areas to assist with time series comparison.

Journey to work information

Data for POWP, Place of usual residence (PURP) and Method of travel to work (MTWP) can be cross-classified to:

  • examine movements of people to and from work
  • analyse transport patterns
  • assist in the planning for transport systems
  • develop and release residential and commercial land.

Journey to work data is used by:

  • transport authorities
  • associated bodies
  • organisations
  • other interested people.

It is important to note that the different variables for cross-classification represent different timeframes and can produce outliers in the data due to a variety of reasons. Variables are listed below: 

  • POWP refers to a person’s workplace address last week
  • PURP refers to where a person usually lives (which may or may not be where they were counted on Census Night)
  • MTWP refers to how the person travelled to work on the day of the Census
Examples of how cross-classification can affect the data
  Example 1 Example 2

Scenario

A person spent the previous night in Brisbane with a friend and walked to work in Brisbane City. She then caught a train to her parent's place on the Gold Coast (which she also regarded as her usual place of residence) that evening where she was enumerated

A person mainly worked in Alice Springs in the week prior to the Census. However, the person moved to Sydney in the intervening week and took a ferry to their new place of employment

Area of enumeration

Gold Coast

Manly

Place of usual residence

Gold Coast

Manly

Place of work

Brisbane City

Alice Springs

Method of transport to work

Walked Only

Ferry

Related variables and glossary terms

Data downloads

2021 DZN to 2021 LGA correspondence

Place of usual residence one year ago (PUR1P)

Definition

This variable records the geographic area in which a person usually lived one year before the Census. The base area that is output is Statistical area level 2. These can be aggregated to form higher Australian Statistical Geography Standard (ASGS) areas:

  • Statistical area level 3
  • Statistical area level 4
  • Significant urban area
  • Greater capital city statistical areas
  • State/Territory

For details of these areas refer to the ASGS.

Scope

People aged one year and over

Categories

Code Category
  In addition to the ASGS geographic areas outlined above, the following categories are also included:
9099 Capital city nfd
9299 Overseas
9499 No usual address
9799 Migratory, off-shore and shipping
9899 State/Territory nfd
&&&& Not stated
@@@@ Not applicable
VVVV Overseas visitors

Number of categories: Total number of categories will depend on the geographic level chosen

Not applicable (@@@@) category comprises:

  • Persons aged under 1 year

See Understanding supplementary codes for more information.

Special purpose code definitions

Question(s) from the Census form

Where does the person usually live?

Where did the person usually live one year ago (at 10 August 2020)?

How this variable is created

PUR1P is coded to SA2 geography based on the response to the question, 'Where did the person usually live one year ago (at 10 August 2020)?'. If PUR1P cannot be coded to SA2 geography, it is assigned to a 'Capital city nfd' category, or a 'State/Territory nfd' category.

For people whose place of usual residence one year ago was the same as their place of usual residence on Census Night, PUR1P is automatically derived from Place of usual residence (PURP). People who lived overseas one year ago are coded to ‘Overseas’. For people who lived elsewhere in Australia one year ago, the address details provided on the form are coded using automatic or clerical processes.

People who did not answer 'Where did the person usually live one year ago (at 10 August 2020)?' are coded to ‘Not stated’.

History and changes

The question 'Where did the person usually live one year ago?' was first asked in the 1976 Census and has been asked at every Census since.

In 2021, Geographic classifications have been changed to reflect the updated ASGS used for the 2021 Census. Supplementary code ‘Undefined state’ has been updated to ‘State/Territory nfd’ to better reflect the category.

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Place of usual residence one year ago (PUR1P) was 6.0% in 2021. This is a decrease from 8.6% in 2016.

Related variables and glossary terms

Place of usual residence five years ago (PUR5P)

Definition

This variable records the geographic area in which a person usually lived five years before the Census. The base area that is output for Place of usual residence five years ago (PUR5P) is Statistical area level 2 (SA2). These can be aggregated to form higher Australian Statistical Geography Standard (ASGS) areas:

  • Statistical area level 3
  • Statistical area level 4
  • Significant urban area
  • Greater capital city statistical areas
  • State/Territory

For details of these areas refer to the ASGS.

Scope

Persons aged five years and over

Categories

Code Category
  In addition to the ASGS geographic areas outlined above, the following categories are also included:
9099 Capital city nfd
9299 Overseas
9499 No usual residence
9799 Migratory, off-shore and shipping
9899 State/Territory nfd
&&&& Not stated
@@@@ Not applicable
VVVV Overseas visitors

Number of categories:  Total number of categories will depend on the geographic level chosen

Not applicable (@@@@) category comprises:

  • Persons aged under 5 year

See Understanding supplementary codes for more information.

Special purpose code definitions

Question(s) from the Census form

Where does the person usually live?

Where did the person usually live five years ago (at 10 August 2016)?

How this variable is created

PUR5P is coded to SA2 based on the response to the question 'Where did the person usually live five years ago (at 10 August 2016)?'. If PUR5P cannot be coded to the SA2 geography, it is assigned to a 'Capital city nfd' category, or a 'State/Territory nfd' category.

For people whose place of usual residence five years ago was the same as their place of usual residence on Census Night, their PUR5P is automatically derived from Place of usual residence (PURP). People who lived overseas five years ago are coded to ‘Overseas’. For people who lived elsewhere in Australia five years ago, the address details provided on the form are coded using automatic or clerical processes.

People who did not answer the question 'Where did the person usually live five years ago (at 10 August 2016)?' are coded to ‘Not stated’.

History and changes

This question relating to place of usual residence five years ago was first asked in the 1971 Census and has been asked at every Census since then.

In 2021, Geographic classifications have been changed to reflect the updated ASGS used for the 2021 Census. Supplementary code ‘Undefined state’ has been updated to ‘State/Territory nfd’ to better reflect the category.

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Place of usual residence five year ago (PUR5P) was 6.9% in 2021. This is a decrease from 8.0% in 2016.

Related variables and glossary terms

Place of usual residence (PURP)

Definition

This variable records the geographic area in which a person usually lives. It may or may not be the place where the person was counted on Census Night. The base area for Place of usual residence (PURP) is a mesh block (MB). These can be aggregated to form higher Australian Statistical Geography Standard (ASGS) areas.

For details of these areas refer to the ASGS.

Scope

All persons

Categories

Code              Category
  In addition to the ASGS geographic areas, the following categories are also included:
  Migratory, off-shore and shipping
  No usual address
VVVV Overseas visitor

Number of categories:  Total number of categories will depend on the geographic level chosen

See Understanding supplementary codes for more information.

Special purpose code definitions

Special purpose codes Definition
Migratory Used to code people who are in transit on long distance trains, buses, aircraft and long-haul road transport vehicles on Census Night.
Off-shore Used to code people who are on oil rigs and drilling platforms etc. on Census Night.  Also used for expeditioners in the Australian Antarctic Territory.
Shipping Used to code people who are on board vessels in Australian waters, in or between Australian ports on Census Night.
No usual address Used to code people who have no fixed address, such as travellers who move across Australia.

Question(s) from the Census form

What is the address of this dwelling?

Where does the person usually live?

How this variable is created

For people who are at home on Census Night, Place of usual residence (PURP) is automatically derived from their place of enumeration.  

People who usually lived overseas are coded as ‘Overseas visitors’.

People who have 'no usual address' are instructed on the Census form to write 'None' in the suburb/locality field for the usual address question. Each state/territory has one Statistical area 1 (SA1) and Statistical area 2 (SA2) imputed specifically for these responses.

Shipping SA1s and Offshore SA1s are also valid for PURP.

For people who live elsewhere in Australia, address details that are provided on the form are coded to mesh block (MB) where possible using automatic or clerical processes. MBs are the smallest geographical unit in the ABS and form the basis for the larger regions of the ASGS.

Where incomplete address of usual residence is given, PURP is imputed at different geography levels using the ASGS. The variable Imputation flag for place of usual residence (IFPURP) indicates if a person's PURP was imputed in the Census, and to what level. For more information about imputation, see imputation in the Census Glossary.

Migratory SA1s are invalid for place of usual residence and such responses are imputed to a valid spatial SA1.

History and changes

A question relating to place of usual residence was first asked in the 1971 Census and has been asked at every Census since then. Prior to the 1961 Census, questions did not differentiate between place of enumeration and place of usual residence.

Since the 2001 Census, an additional note was included: 'For persons who usually live in another country and who are visiting Australia for less than one year, mark 'Other country'.

The categories in this variable have changed to reflect the updated ASGS used for the 2021 Census. Provision is also made for persons who indicate that they have no usual place of residence.

Prior to 2016, usual address information for persons staying in a non-private dwelling (hotel, hospitals) on Census Night was recorded on a Summary form by a Census Field Officer. In 2016, under the new enumeration method, usual address information was no longer collected during the non-private dwelling enumeration process. If a form was not returned by a respondent in a non-private dwelling, demographic information including their usual address was imputed based on people in similar non-private dwellings. 

For 2021, instructional text was added to aid people without a fixed or return address by including examples ‘due to family conflict’ or ‘eviction’.

Data use considerations

The technical definition of usual residence refers to the address at which a person lives or intends to live for six months or more. However, the data is self-reported and sometimes, the address that is reported may be what respondents consider their 'usual address' rather than the technical definition. People visiting Australia from another country for less than one year are considered overseas visitors.

Using the Imputation Flag for Place of Usual Residence (IFPURP), the non-response rate for Place of usual residence (PURP) at the Statistical Area Level 2 (SA2) geographic level was 4.3% in 2021. This is a decrease from 5.4% in 2016. 

The non-response rate at the Statistical Area Level 1 (SA1) geographic level was 4.4% in 2021. This is a decrease from 5.5% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Usual address one year ago indicator (UAI1P)

Definition

This variable indicates whether a person:

  • lived in the same address one year ago as their current usual residence
  • lived elsewhere in Australia one year ago
  • usually lived in another country one year ago

This variable when used with Usual address indicator Census Night (UAICP), Usual address five years ago indicator (UAI5P), and additionally with Place of usual residence (PURP) data, shows migration patterns.

Scope

All persons aged one year and over

Categories

Code Category
1 Same as in 2021
2 Elsewhere in Australia
3 Overseas in 2020
& Not stated
@ Not applicable
V Overseas visitor 2021

Number of categories: 6

Not applicable (@) category comprises:

  • Persons aged under 1 year

See Understanding supplementary codes for more information.

Question(s) from the Census form

Where did the person usually live one year ago (at 10 August 2020)?

How this variable is created

This variable contains the response category answer to the question 'Where did the person usually live one year ago (at 10 August 2020)?'. The responses are captured automatically from mark box responses on the form.

Where the indicator mark boxes have been left blank by a respondent, but they have reported an address one year ago, UAI1P is derived based on the address reported. If the respondent does not report either the indicator or the address, they will be set to 'Not stated'. However, where a person who is aged under 16 years (i.e. they were aged under 15 years one year ago) does not respond to the usual address one year ago question, but their parent(s) did respond, their UAI1P is set to the same value as their parent.

History and changes

The question relating to the usual address one year ago was first asked in the 1976 Census and has been asked at every Census since.

In 2021, the categories with years have been updated to 2021 and the previous year of 2020. 

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Usual address one year ago indicator (UAI1P) was 5.5% in 2021. This is a decrease from 8.3% in 2016.

Related variables and glossary terms

Usual address five years ago indicator (UAI5P)

Definition

This variable indicates whether a person:

  • lived in the same address five years ago as their current usual residence
  • lived elsewhere in Australia five years ago
  • usually lived in another country five years ago

This variable when used with Usual address Census Night indicator (UAICP), Usual address one year ago indicator (UAI1P), and also with Place of usual residence (PURP) data, shows migration patterns.

Scope

All persons aged five years and over

Categories

Code Category
1 Same as in 2021
2 Elsewhere in Australia
3 Overseas in 2016
& Not stated
@ Not applicable
V Overseas visitor 2021

Number of categories: 6

Not applicable (@) category comprises:

  • Persons aged under 5 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

Where did the person usually live five years ago (at 10 August 2016)?

How this variable is created

This variable is derived from the response category answer to the question on the 2021 Census forms which asks, 'Where did the person usually live five years ago (at 10 August 2016)?'. 

The responses to this question are captured automatically from mark box responses on the form. Where the indicator mark boxes have been left blank by a respondent but they have reported an address five years ago, UAI5P is derived based on the address reported. If the respondent does not report either the indicator or the address, they will be set to 'Not stated'. However, where a person who is aged under 20 years (i.e. they were aged under 15 years five years ago) does not respond to the usual address five years ago question, but their parent(s) did respond, their UAI5P is set to the same value as their parent.

History and changes

The question relating to usual address five years ago was first asked in the 1971 Census and has been asked at every Census since then.

In Censuses prior to 2011, there was a separate category for people who had the same address five years ago as for their address one year ago. This allowed users to differentiate between those people who lived at a different address five years ago and one year ago, compared with those who lived at the same address five years ago and one year ago. While the data is collected and processed in the same way, this information is no longer publicly available as it is merged with 'elsewhere in Australia' prior to release.

In 2021, the categories with years have been updated to 2021, the previous year of 2020 and 2016 for five years ago. 

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Usual address five years ago indicator (UAI5P) was 6.0% in 2021. This is a decrease from 7.3% in 2016.

Related variables and glossary terms

Usual address indicator Census night (UAICP)

Definition

This variable indicates whether a person was at home or elsewhere on Census Night. It contains the answer to the Census question about usual residence, which asks if the person usually lived:

  • at the address on the front of the Census form (where they were on Census Night)
  • elsewhere in Australia
  • overseas.

In cases where a person did not state where they usually live, Usual address indicator Census night (UAICP) and Place of usual residence (PURP) are imputed. See Imputation flag for place of usual residence (IFPURP).

Scope

All persons

Categories

Code Category
1 At home
2 Elsewhere in Australia
V Overseas visitor 2021

Number of categories: 3

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the address of this dwelling?

Where does the person usually live?

How this variable is created

The data is largely captured from mark-box responses on the form, so the risk of processing error is low. Where the indicator mark boxes have been left blank by a respondent, but they have reported a usual address, UAICP is derived based on the address reported. Data may also be derived based on the relationship information reported on the form indicating that they are a visitor.

Usual residence data is a key demographic variable. If a person does not state where they usually live, UAICP and PURP are imputed. For more information about imputation, see imputation in the Census Glossary.

History and changes

A question relating to usual residence was first asked in the 1971 Census and has been asked at every Census since.

The question was updated in 2021, instructional text was added to help people answer the question on usual address. Examples including ‘due to family conflict’ or ‘eviction’ were added to assist people who have no fixed or return usual address answer the question.

Data use considerations

This variable, when used with the following data shows migration patterns:

  • Usual address one year ago indicator (UAI1P)
  • Usual address five years ago indicator (UAI5P)
  • Place of usual residence (PURP)

Usual address indicator Census night (UAICP) is derived from Imputation flag for place of usual residence (IFPURP). Using the Imputation flag for place of usual residence (IFPURP), the non-response rate for Usual address indicator Census night (UAICP) was 4.3% in 2021. This is a decrease from 5.4% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Population

Mnemonic Variable Release 
AGE10PAge in ten year groupsJune 2022
AGE5PAge in five year groupsJune 2022
AGEPAgeJune 2022
FTCPForm typeApril 2023
IFAGEPImputation flag for ageJune 2022
IFSEXPImputation flag for sexJune 2022
SEXPSexJune 2022
TISPNumber of children ever born June 2022
TISRPNumber of children ever born (ranges) June 2022

Age in ten year groups (AGE10P)

Definition

This variable collects each person's age in ten-year groups. If age is not reported, it is imputed. For infants aged less than one year, 0 years of age is recorded.

Age is also available for 0 to 115 years singly (AGEP) and in 5-year groups (AGE5P).

Scope

All persons

Categories

Code Category
01 0-9 years
02 10-19 years
03 20-29 years
04 30-39 years
05 40-49 years
06 50-59 years
07 60-69 years
08 70-79 years
09 80-89 years
10 90-99 years
11 100 years and over

Number of categories: 11

Question(s) from the Census form

What is the person’s date of birth and age?

How this variable is created

Age is calculated from date of birth when provided, otherwise stated age is used. Where both sets of information are provided, date of birth is used to derive an age in years, except in circumstances where errors in the date of birth are identified. Age data is only output in whole years.

Where a respondent does not answer the age question, age is imputed using other information on the form and using an age distribution of the population. Where respondents report an age outside the acceptable range or where there were inconsistencies between age and relationship data, age is also imputed. For more information about imputation please see imputation in the Census Glossary.

The Imputation Flag for Age variable (IFAGEP) indicates if a person's age was imputed in the Census.

History and changes

A question relating to age has been asked in every Census since 1911. Since 2006, respondents have had the option to report either date of birth or age in years.

For 2021, question wording changed from 'or' to 'and' in both the question wording and response area. The online form has been changed to primarily ask for date of birth (DOB) and the respondent is presented with a check box if DOB is not known so that they can enter the person’s age. This is to encourage the provision of more accurate data.

Data use considerations

Age data, combined with sex data, is essential to produce accurate population estimates based on the Census count.

Age is used during processing as a cross check with other variables; for example, the age of the respondent determines whether particular questions asked in the Census are applicable.

Respondents occasionally make errors in reporting their age or date of birth, such as: 

  • reporting their last birthday or the date they filled out their Census form rather than their date of birth
  • parents filling in the form on their children's behalf and inadvertently reporting their own age or date of birth for their children
  • character transposition errors
  • other typographical errors (e.g. sticky key repetition). 

There are a small number of areas where there was a high level of non-response to the age question and age was imputed. The age distribution in areas where there are high levels of age imputation may not be representative of the underlying population and should be interpreted with caution. This is more noticeable in the small number of remote communities where there is a high level of age imputation (more than 20% of Census counts), combined with the reporting of Aboriginal and/or Torres Strait Islander status. The data for people where age was reported is not impacted.

Using the Imputation Flag for Age (IFAGEP), the non-response rate for Age was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Age in five year groups (AGE5P)

Definition

This variable collects each person's age in five-year groups. If age is not reported, it is imputed. See Imputation flag for age (IFAGEP). For infants aged less than one year, 0 years of age is recorded.

Age is also available for 0 to 115 years singly (AGEP) and 10-year groups (AGE10P).

Scope

All persons

Categories

Code Category
01 0-4 years
02 5-9 years
03 10-14 years
04 15-19 years
05 20-24 years
06 25-29 years
07 30-34 years
08 35-39 years
09 40-44 years
10 45-49 years
11 50-54 years
12 55-59 years
13 60-64 years
14 65-69 years
15 70-74 years
16 75-79 years
17 80-84 years
18 85-89 years
19 90-94 years
20 95-99 years
21 100 years and over

Number of categories: 21

Question(s) from the Census form

What is the person’s date of birth and age?

How this variable is created

Age is calculated from date of birth when provided, otherwise stated age is used. Where both sets of information are provided, date of birth is used to derive an age in years, except in circumstances where errors in the date of birth are identified. Age data is only output in whole years.

Where a respondent does not answer the age question, age is imputed using other information on the form and using an age distribution of the population. Where respondents report an age outside the acceptable range or where there were inconsistencies between age and relationship data, age is also imputed. For more information about imputation please see imputation in the Census Glossary.

The Imputation Flag for Age variable (IFAGEP) indicates if a person's age was imputed in the Census.

History and changes

A question relating to age has been asked in every Census since 1911. Since 2006, respondents have had the option to report either date of birth or age in years.

For 2021, question wording changed from 'or' to 'and' in both the question wording and response area. The online form has been changed to primarily ask for date of birth (DOB) and the respondent is presented with a check box if DOB is not known so that they can enter the person’s age. This is to encourage the provision of more accurate data.

Data use considerations

Age data, combined with sex data, is essential to produce accurate population estimates based on the Census count.

Age is used during processing as a cross check with other variables; for example, the age of the respondent determines whether particular questions asked in the Census are applicable.

Respondents occasionally make errors in reporting their age or date of birth, such as: 

  • reporting their last birthday or the date they filled out their Census form rather than their date of birth
  • parents filling in the form on their children's behalf and inadvertently reporting their own age or date of birth for their children
  • character transposition errors
  • other typographical errors (e.g. sticky key repetition). 

There are a small number of areas where there was a high level of non-response to the age question and age was imputed. The age distribution in areas where there are high levels of age imputation may not be representative of the underlying population and should be interpreted with caution. This is more noticeable in the small number of remote communities where there is a high level of age imputation (more than 20% of Census counts), combined with the reporting of Aboriginal and/or Torres Strait Islander status. The data for people where age was reported is not impacted.

Using the Imputation Flag for Age (IFAGEP), the non-response rate for Age was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Age (AGEP)

Definition

This variable collects each person's age. If age is not reported, it is imputed. See Imputation flag for age (IFAGEP). For infants aged less than one year, 0 years of age is recorded.

Data is also available in 5 year groups (AGE5P) and 10 year groups (AGE10P).

Scope

All persons

Categories

Code Category
000-115 0 to 115 years of age singly

Number of categories: 116

Question(s) from the Census form

What is the person’s date of birth and age?

How this variable is created

Age is calculated from date of birth when provided, otherwise stated age is used. Where both sets of information are provided, date of birth is used to derive an age in years, except in circumstances where errors in the date of birth are identified. Age data is only output in whole years.

Where a respondent does not answer the age question, age is imputed using other information on the form and using an age distribution of the population. Where respondents report an age outside the acceptable range or where there were inconsistencies between age and relationship data, age is also imputed. For more information about imputation, please see imputation in the Census Glossary.

The Imputation flag for age (IFAGEP) variable indicates if a person's age was imputed in the Census.

History and changes

A question relating to age has been asked in every Census since 1911. Since 2006, respondents have had the option to report either date of birth or age in years.

For 2021, question wording changed from 'or' to 'and' in both the question wording and response area. The online form has been changed to primarily ask for date of birth (DOB) and the respondent is presented with a check box if DOB is not known so that they can enter the person’s age. This is to encourage the provision of more accurate data.

Data use considerations

Age data, combined with sex data, is essential to produce accurate population estimates based on the Census count.

Age is used during processing as a cross check with other variables; for example, the age of the respondent determines whether particular questions asked in the Census are applicable.

Respondents occasionally make errors in reporting their age or date of birth, such as: 

  • reporting their last birthday or the date they filled out their Census form rather than their date of birth
  • parents filling in the form on their children's behalf and inadvertently reporting their own age or date of birth for their children
  • character transposition errors
  • other typographical errors (e.g. sticky key repetition). 

Character transposition and typographical errors are particularly relevant to the online version of the Census form.

Data captured from written responses carries a small risk of character recognition error, mainly caused by poor handwriting or respondents writing outside the question box. The vast majority of individual characters written on paper forms met pre-set recognition confidence levels and were accepted without further examination. Characters that failed given recognition confidence levels, or responses where there was a discrepancy of more than three years between age last birthday and date of birth, were sent to clerical officers for further determination based on visual inspection of an image of the response.

Other checks on age (such as unlikely combinations of age and other variables) were made at various stages during processing, to ensure an acceptable level of quality was maintained.

There are a small number of areas where there was a high level of non-response to the age question and age was imputed. The age distribution in areas where there are high levels of age imputation may not be representative of the underlying population and should be interpreted with caution. This is more noticeable in the small number of remote communities where there is a high level of age imputation (more than 20% of Census counts), combined with the reporting of Aboriginal and/or Torres Strait Islander status. The data for people where age was reported is not impacted.

Using the Imputation flag for age (IFAGEP), the non-response rate for Age (AGEP) was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Imputation flag for age (IFAGEP)

Definition

This variable indicates if a person's age was imputed. Imputation is a statistical process for predicting values where no response was provided to a question and a response could not be derived.

See also, Age (AGEP).

Scope

All persons

Categories

Code Category
1 Age not imputed
2 Age imputed

Number of categories: 2

Question(s) from the Census form

What is the person’s date of birth and age?

How this variable is created

When age is imputed this variable is coded to ‘02 Age imputed’. See Age (AGEP) for methods on how age is imputed.

History and changes

No changes have been made for 2021.

Data use considerations

Imputation flag for age (IFAGEP) can be used to identify how many respondents’ age was imputed at different geographical levels.

Using the Imputation Flag for Age (IFAGEP), the non-response rate for Age was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Imputation flag for sex (IFSEXP)

Definition

This variable indicates if a person's binary sex was imputed. Imputation is a statistical process for predicting values where no response was provided to a question and a response could not be derived.

Scope

All persons

Categories

Code Category
01 Sex not imputed
02 Sex imputed

Number of categories:  2

Question(s) from the Census form

Is the person: Male; Female; Non-binary sex

How this variable is created

This variable is created during the processing of the Sex (SEXP) variable. When a record has sex imputed it is coded to ‘02 Sex imputed’ and where a record uses information from the Census form it is coded to ’01 Sex not imputed’.

For more information about imputation, please see the Sex (SEXP) variable and imputation in the Census Glossary.

History and changes

The Imputation flag for sex (IFSEXP) variable was first used in 2016.

No changes have been made for 2021. 

Data use considerations

There are no known data use considerations at this time.

Using the Imputation Flag for Sex (IFSEXP), the non-response rate for Sex was 4.7% in 2021. This is a decrease from 5.8% in 2016. For more information on imputation, see Census Methodology.

Related variables and glossary terms

Sex (SEXP)

Definition

This variable records each person’s sex. A person's sex is based on their sex characteristics, such as their chromosomes, hormones and reproductive organs. If sex is not stated it is imputed.

See also, Imputation flag for sex (IFSEXP).

Scope

All persons

Categories

Code Category
1 Male
2 Female

Number of categories:  2

Question(s) from the Census form

Is the person: Male; Female; Non-binary sex

How this variable is created

Responses to the sex question are captured from mark box responses on the form so the risk of processing error is minimal. Male, female and non-binary sex are the three options. A person can select one response only or they can select more than one response (male and non-binary sex, or female and non-binary sex). The online Census form allows respondents who select the non-binary sex response to provide further information. This field is optional and can be used to describe the circumstances specific to the person responding.

Note that data collected from the sex question will be reported in most Census data releases as ‘male’ or ‘female’ in order to maintain the quality of standard products at the small area level. Where a respondent has provided a male or female response and a non-binary sex response, the male or female response will be used to determine a binary sex variable. Otherwise, sex will be derived by a statistical process using random allocation.

Binary sex is also imputed when the question is not answered. If sex is missing on partially completed forms, it is imputed by automated and manual coding processes using relevant information provided on the incomplete form. For records that could not be resolved through this process, sex is derived by a statistical process using random allocation. For more information about imputation, please see imputation in the Census glossary.

The Imputation flag for sex (IFSEXP) variable indicates if a person's sex was imputed in the Census.

History and changes

A question on sex has been asked at every Census since 1911.

In 2016, respondents had the option to respond as 'other sex'. If a person wanted to identify as other than male or female, they were instructed to call the Census Inquiry Service for information on how to identify on Census forms. To respond online, they were given specific login details to access an alternate form which allowed them to select 'other' and enter in information in a 'please specify' text box. To respond on a paper form, they were instructed to write on the right-hand side of the response area and these were checked manually to record a respondent's 'other sex' category. 

In 2021, a ‘non-binary sex’ option was added as an input category to the standard question, however the output categories for this variable are unchanged for 2021.

Data use considerations

The question on the Census asks about a person’s sex, which is based on their sex characteristics, such as their chromosomes, hormones and reproductive organs.

Respondents were instructed to answer in the way that applies to them, with the guidance that the non-binary sex category was included to provide an option for people who are not exclusively male or female, for example people with variations in sex characteristics or who are intersex.

Feedback from respondents and members of the LGBTIQ+ community during Census enumeration identified some confusion on how to answer the question for people who are gender diverse, gender non-binary or transgender. It is therefore likely that some respondents answered based on their gender identity rather than their biological sex. Research undertaken by the ABS in developing the sex question for the Census suggests that this was also the case in previous censuses. This is not able to be quantified for respondents who selected a binary sex response, for example a person born male but living as a woman for many years may select ‘female’ as their response, noting this may be balanced out with respondents who were born female but living as a man and selecting ‘male’ as their response.

The ABS has released some analysis of the responses to ‘non-binary sex’ in an analytical article. To view the article visit Analysis of non-binary sex responses. While this article outlines some of the ways this group responded to the sex question, it also highlights the limitations of collecting data in this way. For more information see also Non-binary sex in the 2021 Census.

Using the Imputation Flag for Sex (IFSEXP), the non-response rate for Sex (SEXP) was 4.7% in 2021. This is a decrease from 5.8% in 2016. 

Related variables and glossary terms

Number of children ever born (TISP)

Definition

This variable records the number of children ever born to each female aged 15 years and over.

Scope

Females aged 15 years and over

Categories

Code Category
00 No children
01 1 child
02 2 children
03 3 children
04 4 children
05 5 children
06 6 children
07 7 children
08 8 children
09 9 children
10 10 children
11 11 children
12 12 children
13 13 children
14 14 children
15 15 children
16 16 children
17 17 children
18 18 children
19 19 children
20 20 children
21 21 children
22 22 children
23 23 children
24 24 children
25 25 children
26 26 children
27 27 children
28 28 children
29 29 children
30 30 or more children
&& Not stated
@@ Not applicable
VV Overseas visitor

Number of categories:  34

Not applicable (@@) category comprises:

  • Males
  • Females aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

For each female, how many babies has she ever given birth to?

How this variable is created

Data for this variable is captured automatically from written numeric responses, or the 'None' response category on the paper form. All numeric responses are accepted as reported.

History and changes

This question was first asked in the 1981 Census.

For 2016, an instruction on the form to include live births only was removed, due to evidence of the sensitivities of this question which cannot be overcome effectively in a self-report questionnaire. This instruction was previously included to collect births information according the United Nations Standard.

No changes have been made for 2021.

Data use considerations

The data may include a small proportion of persons with unusually high numbers of children ever born, as all numeric responses are accepted as reported.

For the Census online form, females aged 15 years and over were asked this question. Male respondents and people who responded only with non-binary sex were not asked this question.

The non-response rate for Number of children ever born (TISP) was 6.7% in 2021. This is a decrease from 8.0% in 2016. 

Related variables and glossary terms

Number of children ever born (ranges) (TISRP)

Definition

This variable records the number of children ever born to each female aged 15 years and over in ranges.

Scope

Females aged 15 years and over

Categories

Code Category
0 No children
1 One child
2 Two children
3 Three children
4 Four children
5 Five children
6 Six children
7 Seven children
8 Eight or more children
& Not stated
@ Not applicable
V Overseas visitor

Number of categories:  12

Not applicable (@@) category comprises:

  • Males
  • Females aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

For each female, how many babies has she ever given birth to?

How this variable is created

Data for this variable is captured automatically from written numeric responses, or the 'None' response category on the paper form. All numeric responses are accepted as reported.

History and changes

This question was first asked in the 1981 Census.

For 2016, an instruction on the form to include live births only was removed, due to evidence of the sensitivities of this question which cannot be overcome effectively in a self-report questionnaire. This instruction was previously included to collect births information according the United Nations Standard.

No changes have been made for 2021.

Data use considerations

The data may include a small proportion of persons with unusually high numbers of children ever born, as all numeric responses are accepted as reported.

For the Census online form, females aged 15 years and over were asked this question. Male respondents and people who responded only with non-binary sex were not asked this question.

This variable is derived from Number of children ever born (TISP). The non-response rate for Number of children ever born (TISP) was 6.7% in 2021. This is a decrease from 8.0% in 2016. 

Related variables and glossary terms

Form type (FTCP)

Definition

This variable indicates the type of form a person used to submit their 2021 Census responses.

For the 2021 Census, information was collected in a number of ways from the Australian public. For most people, information was returned to the ABS via either an online form or a paper form.

A Census instruction letter was delivered to most dwellings in mail-out areas across Australia. In 2021, approximately 85% of dwellings were in mail-out areas. Each letter had a unique login code which respondents could use to access an online form. The letter also contained information on how to request a paper form.

Scope

All persons

Categories

Code Category
1 Personal or household paper form
2 Personal or household Eform
3 Other form types

Number of categories: 3 

Category definitions

Question(s) from the Census form

This variable is not collected from a question on the Census form.

How this variable is created

All paper forms were mailed to the ABS Data Capture Centre (DCC). Online forms were encrypted and sent securely to the ABS DCC, these forms were then decrypted and loaded into systems alongside paper forms.

This variable was created using the information obtained about the form types received at the ABS DCC. 

History and changes

This variable has been included in Census basic and detailed microdata products since 2016. There have been no changes made to this variable.

Data use considerations

In 2016, the ABS developed a new digital approach to the Census enumeration model. This approach provided a faster, more efficient, environmentally friendly Census than any previous Australian Census. The 2021 Census enumeration model was based on the successful elements of the 2016 Census with additional improvements to the way Census materials were delivered and collected.

The 2021 Census was the first time that the ABS actively encouraged households to complete and submit their Census form as soon as they received their materials, meaning this could be done before Census Night on 10 August. The letters also emphasised 12 August as a date after which the household may receive contact from the ABS. This messaging was designed to provide a ‘response window’, where previous censuses highlighted Census Night only.

Related variables and glossary terms

Useful links

Service with the Australian Defence Force

Mnemonic  Variable  Release  
ADCP Australian Defence Force service, detailed June 2022 New
ADFP Australian Defence Force service June 2022 New

Australian Defence Force service, detailed (ADCP)

Definition

The Australian Defence Force (ADF) consists of regulars and reservists, and this variable provides a detailed breakdown of current and previous service for both. The ADF includes:

  • Australian Army (including NORFORCE (North-West Mobile Force))
  • Royal Australian Navy
  • Royal Australian Air Force

This variable also includes people who previously served in the National Service and the Second Australian Imperial Force.

Regular service is considered a person’s main ongoing job, and most roles are full-time in nature.

Reserves service is normally part-time in nature and can include up to 200 days of service per year, depending on the role.

This variable does not capture people who have served in non-Australian defence forces.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Currently serving in the regular service only
2 Currently serving in the reserves service only
3 Currently serving in the regular service and previously served in the reserves service
4 Currently serving in the reserves service and previously served in the regular service
5 Previously served in the regular service only
6 Previously served in the reserves service only
7 Previously served in both the regular and reserves service
8 Has never served in the Australian Defence Force
& Not stated
@ Not applicable
V Overseas visitor

Number of categories: 11

Not applicable (@) comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person ever served in the Australian Defence Force?

How this variable is created

This variable is created from mark box responses to the Australian Defence Force service question. This is a multi-response question and respondents are instructed to mark all applicable responses. In some cases, the combination of responses provided are not valid including:

  • All responses marked
  • ‘No’ and any other response
  • ‘Regular service – Yes, current service’ and ‘Regular service – Yes, previous service’
  • ‘Reserves service – Yes, current service’ and ‘Reserves service – Yes, previous service’
  • ‘Regular service – Yes, current service’ and ‘Reserves service – Yes, current service’

In these cases, processing rules determine how these responses are coded into the appropriate categories.

Where a person marks:

  • All of the response options the variable is coded to ‘Not stated’
  • ‘No’ and any other response, ‘No’ is rejected and other marked responses are accepted
  • Current and previous service in the same service type (i.e. both in the regular service or both in the reserves service), the current service is prioritised
  • Current service in both the regular and reserves service, the current service in the regular service is prioritised

The standard retirement age for regular service is 60 years and for reserves is 65 years. The following processing rule is applied for persons aged 65 years and older. Where a person is aged 65 years or older and has marked current Australian Defence Force service (either regular or reserves), then this service is changed to be recorded as previous service.

History and changes

This is a new variable for 2021.

Data use considerations

This is a new question for the 2021 Census. Whilst information outside of the ABS exists about people who are currently serving in the ADF, there is very limited information about people who have previously served. The Department of Veterans’ Affairs (DVA) knows about those veterans who use DVA services, but very little (if anything) is known about veterans who do not use DVA services. Census data will provide information to enable better delivery of services and supports to veterans.

To analyse the veteran population, users should group the following categories together:

  • 5 Previously served in the regular service only
  • 6 Previously served in the reserves service only
  • 7 Previously served in both the regular and reserves service

The Australian Defence Force service question is not designed to capture breaks in service and data should not be used for this purpose. 

The Australian Defence Force requires people to be 17 years and over to join. However, there are some programs available to people aged 17 years or younger and this may be viewed as service with the Australian Defence Force. Responses reported by 15 and 16 year olds for both current and previous service are accepted as reported.

The non-response rate for Service with the Australian Defence Force (ADCP/ADFP) was 6.0% in 2021.

Related variables and glossary terms

  • Australian Defence Force service (ADFP)

Australian Defence Force service (ADFP)

Definition

This variable describes whether a person is currently serving or has previously served in the Australian Defence Force (ADF). The Australian Defence Force includes:

  • Australian Army (including NORFORCE (North-West Mobile Force))
  • Royal Australian Navy
  • Royal Australian Air Force

This variable also includes people who previously served in the National Service and the Second Australian Imperial Force.

Regular service is considered a person’s main ongoing job, and most roles are full-time in nature.

Reserves service is normally part-time in nature and can include up to 200 days of service per year, depending on the role.

This variable does not capture people who have served in non-Australian defence forces.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Currently serving in the regular service
2 Currently serving in the reserves service
3 Not currently serving (but has previously served in the Australian Defence Force)
4 Has never served in the Australian Defence Force
& Not stated
@ Not applicable
V Overseas visitor

Number of categories: 7

Not applicable (@) comprises:

  • Persons under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

Has the person ever served in the Australian Defence Force?

How this variable is created

This variable is from mark box responses to the Australian Defence Force service question. This is a multi-response question and respondents are instructed to mark all applicable responses. In some cases, the combination of responses provided are not valid including:

  • All responses marked
  • ‘No’ and any other response
  • ‘Regular service – Yes, current service’ and ‘Regular service – Yes, previous service’
  • ‘Reserves service – Yes, current service’ and ‘Reserves service – Yes, previous service’
  • ‘Regular service – Yes, current service’ and ‘Reserves service – Yes, current service’

In these cases, processing rules determine how these responses are coded into the appropriate categories. Where a person marks:

  • All of the response options, the variable is coded to ‘Not stated’
  • ‘No’ and any other response, ‘No’ is rejected and other marked responses are accepted
  • Current and previous service in the same service type (i.e. both in the regular service or both in the reserves service), then current service is prioritised
  • Current service in both the regular and reserves service, then current service in the regular service is prioritised

The standard retirement age for regular service is 60 years and for reserves is 65 years. The following processing rule is applied for persons aged 65 years and older. Where a person is aged 65 years or older and has marked current Australian Defence Force service (either regular or reserves), then this service is changed to be recorded as previous service.

This variable is an aggregated version of Australian Defence Force service, detailed (ADCP). The table below shows how the variables are related.

ADFP Australian Defence Force Service ADCP Australian Defence Force Service, detailed
1 Currently serving in the regular service 1 Currently serving in the regular service only
1 Currently serving in the regular service 3 Currently serving in the regular service and previously served in the reserves service
2 Currently serving in the reserves service 2 Currently serving in the reserves service only
2 Currently serving in the reserves service 4 Currently serving in the reserves service and previously served in the regular service
3 Not currently serving (but has previously served in the Australian Defence Force) 5 Previously served in the regular service only
3 Not currently serving (but has previously served in the Australian Defence Force) 6 Previously served in the reserves service only
3 Not currently serving (but has previously served in the Australian Defence Force) 7 Previously served in both the regular and reserves service
4 Has never served in the Australian Defence Force 8 Has never served in the Australian Defence Force
& Not stated & Not stated
@ Not applicable @ Not applicable
V Overseas visitor V Overseas visitor

History and changes

This is a new variable for 2021.

Data use considerations

This is a new question for the 2021 Census. Whilst information outside of the ABS exists about people who are currently serving in the ADF, there is very limited information about people who have previously served. The Department of Veterans’ Affairs (DVA) knows about those veterans who use DVA services, but very little (if anything) is known about veterans who do not use DVA services. Census data will provide information to enable better delivery of services and supports to veterans.

To analyse the veteran population, users should look at category 3, ‘Not currently serving (but has previously served in the Australian Defence Force)’.

The Australian Defence Force requires people to be 17 years and over to join. However, there are some programs available to people aged 17 years or younger and this may be viewed as service with the Australian Defence Force. Responses reported by 15 and 16 year olds for both current and previous service are accepted as reported.

The non-response rate for Service with the Australian Defence Force (ADCP/ADFP) was 6.0% in 2021.

Related variables and glossary terms

  • Australian Defence Force service, detailed (ADCP)

Transport

Mnemonic  Variable  Release  
DTWP  Distance to work (ranges) April 2023
IFDTWP  Imputed distance to work April 2023
MTW06P  Method of travel to work (6 travel modes) October 2022
MTW15P Method of travel to work (15 travel modes) October 2022
MTWP Method of travel to work October 2022
VEHD Number of motor vehicles June 2022
VEHRD Number of motor vehicles (ranges)  June 2022

Distance to work (ranges) (DTWP)

Definition

This variable presents the distance in kilometres between a person's Place of usual residence (PURP) and Place of work (POWP). The calculation of this variable uses existing Census data. This provides a way to increase the value of Census data without asking additional questions on the Census form.

Scope

Persons aged 15 years and over who stated their labour force status as ‘employed’

Categories

Distance to work (ranges) categories

Question(s) from the Census form

Where does the person usually live?

For the main job held last week, what was the person’s workplace address?

How this variable is created

This variable is created using a combination of existing statistical and geospatial data to make new calculations. It is calculated using the shortest path of a road network, from the respondent’s place of usual residence mesh block (PURP), to that of their workplace (POWP), using geospatial software. It is assumed in the calculation of this data that a person has followed the shortest path with no stops when commuting to work.

Where the shortest path is not possible, a straight-line distance between a person’s Usual residence and Place of work mesh blocks is calculated. A straight-line distance is likely to underrepresent the true distance of a commuting route, so a correction factor is incorporated by multiplying the straight-line distance by 1.3. This value was selected based on ABS analysis on the difference between road network and straight-line distance, and the value also aligned closely with similar studies. The source of road network data was Navteq November 2021 (produced by HERE Technology) to ensure a representative network with updates as close to Census Night as possible.

History and changes

This variable was first introduced in 2016.

No changes have been made in 2021.

Data use considerations

Mesh blocks are the smallest geographical area defined by the Australian Bureau of Statistics (ABS) and form the building blocks for the larger regions within the Australian Statistical Geography Standard (ASGS).

The distance to work data should be considered an estimate as it is a measurement between the centre point (or centroid) of the mesh block of PURP and mesh block of POWP. The location of the centroid in the mesh block was weighted based on the location of residential and commercial addresses respectively.

For some people, a small distance is calculated where the centre points for mesh block of PURP and mesh block of POWP are weighted to different locations. This is the case for people who lived and worked in the same mesh block and their Method of travel to work (MTWP) was not recorded as:

  • Worked from home
  • Did not go to work
  • Mode not stated

Conversely, some people who lived and worked in different mesh blocks have a distance to work of 0 kilometres due to the way in which the centroids have been snapped to a road. 

This variable does not have a non-response rate as it is created by using responses from more than one question on the Census form.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:

Answering questions about your workplace and job role

If you are currently working from home due to COVID restrictions, but usually attend a workplace, please write the employer's usual workplace address.

Answering questions about whether you had a job

If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Answering questions about your workplace and job role

If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and  information about your employer (such as industry and number of employees). 

Related variables and glossary terms

  • Place of usual residence (PURP)
  • Place of work (POWP)
  • Imputed distance to work (IFDTWP)

Imputed distance to work (IFDTWP)

Definition

This variable indicates whether a person's distance to work was calculated using a straight-line or road network distance. A straight-line distance is only used where the data is not available to calculate based on a road network (for example, there was a break in the underlying road network data as a person travelled between an island and the Australian mainland), or the straight-line distance of the commute is greater than 250 kilometres. 

Scope

Persons aged 15 years and over who stated their labour force status as ‘employed’

Categories

 

Code Category
1 Distance to work calculated with a straight-line distance
2 Distance to work calculated with a road network distance
3 Did not commute
@ Not applicable

Number of categories: 4

Did not commute (3) category comprises of persons whose mesh block of PURP and mesh block of POWP were the same and stated they:

  • 'Worked from home'
  • 'Did not go to work'
  • 'Mode not stated’

Not applicable (@) category comprises:

  • Persons who were unemployed, not in the labour force, or whose labour force status was not stated
  • Persons under 15 years of age
  • Overseas visitors
  • Persons who were coded to Special purpose codes.

Question(s) from the Census form

Where does the person usually live?

For the main job held last week, what was the person’s workplace address?

How this variable is created

The variable is created when the data for Distance to work (ranges) (DTWP) variable is processed. A code is assigned to the record depending on which method was used to derive distance to work. A straight-line distance is only used where the data is not available to calculate based on a road network, or the straight-line distance of the commute is greater than 250 kilometres. 

A straight-line distance is likely to underrepresent the true distance of a commuting route, so a correction factor is incorporated by multiplying the straight-line distance by 1.3. This value was selected based on ABS analysis on the difference between road network and straight-line distance, and the value also aligned closely with similar studies. The source of road network data was Navteq November 2021 (produced by HERE Technology) to ensure a representative network with updates as close to Census Night as possible.

History and changes

This variable was first introduced in 2016.

In 2021 category 3 'Did not commute' was added. In 2016 persons who did not commute were coded under category 1 and 2. 

Data use considerations

This variable does not have a non-response rate as it is created by using responses from more than one question on the Census form.

Lockdown

A number of regions across the country were in various stages of lockdown on Census Night, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:

Answering questions about your workplace and job role

If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.

Answering questions about whether you had a job

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Answering questions about your workplace and job role

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees). 

Related variables and glossary terms

  • Place of usual residence (PURP)
  • Place of work (POWP)
  • Distance to work (ranges) (DTWP)

Method of travel to work (6 travel modes) (MTW06P)

Definition

This variable records the method of travel to work in six modes on Census day 10 August 2021. Data is derived from the Method of travel to work (MTWP) variable.

See also Method of travel to work (15 travel modes) (MTW15P).

Scope

Persons aged 15 years or over who have labour force status of ‘employed’

Categories

Code Category
1 Public transport
2 Vehicle
3 Active transport
4 Other mode
5 Worked at home or did not go to work
6 Not stated
@ Not applicable
V Overseas visitor

Number of categories: 8

Not applicable (@) comprises:

  • Unemployed persons looking for either part-time or full-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP) not stated
  • Persons aged under 15 years
  • Overseas visitors

See Understanding supplementary codes for more information.

Question(s) from the Census form

How did the person get to work on Tuesday 10 August 2021?

How this variable is created

This variable is derived from the Census variable MTWP which records the method used to travel to work on the day of the Census. The MTWP classification has been sourced from the Bureau of Infrastructure and Transport Research Economics.

Method of travel to work (6 travel modes) can also be aggregated from the 15 travel modes as follows:

MTW15P MTW15P Description MTW06P MTW06P Description
01 Train 1 Public transport
02 Bus 1 Public transport
03 Ferry 1 Public transport
04 Tram/light rail 1 Public transport
05 Taxi/ride-share service 1 Public transport
06 Car as driver 2 Vehicle
07 Car as passenger 2 Vehicle
08 Truck 2 Vehicle
09 Motorbike/scooter 2 Vehicle
10 Bicycle 3 Active transport
11 Other mode 4 Other mode
12 Walked only 3 Active transport
13 Worked at home 5 Worked at home or did not go to work
14 Did not go to work 5 Worked at home or did not go to work
15 Not stated 6 Mode not stated
@@ Not applicable @ Not applicable
VV Overseas visitor V Overseas visitor

History and changes

This variable was first introduced in 2016.

No changes have been made in 2021.  

Data use considerations

This variable is derived from the Method of travel to work (MTWP) variable. Unlike most Census variables, the non-response rate for Method of travel to work (MTWP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Method of Travel to Work.

The non-response rate for Method of travel to work (MTWP) was 0.5% in 2021. This is a decrease from 1.0% in 2016. 

Usual method of travel to work

When using this data with Place of work (POWP) data, users should be aware that POWP refers to the main job last week, while MTWP refers to Census day. This may explain why, for a small proportion of records, MTWP data may appear inconsistent with POWP or PURP information. 

For example, a person may have been working in the centre of Perth on 10 August 2021 and have travelled there by train, however in the week before the Census, they may have been working in an outer suburb of Perth and travelled there by car. In this case, the person would have their MTWP as 'Train' on the Census form, whilst their usual travel pattern would be by car.

Other scenario examples:

  • If a person who had a job became unemployed, retired or on leave on 10 August 2021, their method of travel to work would not reflect their usual travel pattern.
  • If a person who was unemployed but gained employment in the week before Census, their method of travel to work would not be captured. The sequencing of questions is based on labour force status in the week before Census.
  • If a person rides a bicycle a couple days per week, but ‘usually’ catches the bus, the Method of travel to work focuses on the activity specific to Census day, to capture the minor mode of travel i.e. bicycle.

Walked only

If a person walked some of the way to work and used other methods, it is not included as an additional method. For example, if they walked then caught the bus, then ‘Bus’ only should be selected. Only if the person walked all the way to work, should ‘Walked only’ be selected.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:

Answering questions about your workplace and job role

If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.

Answering questions about whether you had a job

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Answering questions about your workplace and job role

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and  information about your employer (such as industry and number of employees). 

Related variables and glossary terms

  • Method of travel to work (MTWP)
  • Method of travel to work (15 modes) (MTW15P)
  • Place of usual residence (PURP)
  • Place of work (POWP)
  • Distance to work (ranges) (DTWP)

Method of travel to work (15 travel modes) (MTW15P)

Definition

These variables record the method of travel to work in 15 travel modes on Census day 10 August 2021. Data is derived from the Method of travel to work MTWP variable.

See also Method of travel to work (6 travel modes) (MTW06P).

Scope

Persons aged 15 years or over who stated their labour force status as ‘employed’

Categories

Code Category
01 Train
02 Bus
03 Ferry
04 Tram/light rail
05 Taxi/ride-share service
06 Car, as driver
07 Car, as passenger
08 Truck
09 Motorbike/scooter
10 Bicycle
11 Other mode
12 Walked only
13 Worked at home
14 Did not go to work
15 Not stated
@@ Not applicable
VV Overseas visitor

Number of categories: 17

Not applicable (@@) comprises:

  • Unemployed persons looking for either part-time or full-time work
  • Persons not in the labour force
  • Persons with Labour force status (LFSP) not stated

Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

How did the person get to work on Tuesday 10 August 2021?

How this variable is created

These variables are derived from the Census variable MTWP which records the method used to travel to work on the day of the Census. The MTWP classification has been sourced from the Bureau of Infrastructure, Transport and Research Economics.

The table in MTW06P shows how categories are aggregated to create Method of travel to work (15 travel modes).

History and changes

This variable was first introduced in 2016.

Minor updates to the category labels have been made to align with MTWP.

Data use considerations

Mode 15 reflects the ‘main mode’ used in that journey from home to workplace. Where multiple methods of work are used, a priority hierarchy is used to make assumptions for the ‘main mode’. The priority hierarchy for mode 15 is:

  • Train
  • Bus
  • Ferry
  • Tram/light rail
  • Taxi/ride-share service
  • Vehicle driver
  • Vehicle passenger
  • Truck
  • Motorbike or motor scooter
  • Bicycle
  • Walked only
  • Other mode (not elsewhere specified)

For example, if a person selected, ‘Train’ and ‘Bus’, their mode of transport would be coded to ‘1 Train’ for Mode of travel to work (15 modes), even if ‘bus’ made the majority of the trip, due to the higher ranking of ‘train’ in the priority list.

This variable is derived from the Method of travel to work (MTWP) variable. Unlike most Census variables, the non-response rate for Method of travel to work (MTWP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Method of Travel to Work.

The non-response rate for Method of travel to work (MTWP) was 0.5% in 2021. This is a decrease from 1.0% in 2016. 

Usual method of travel to work

When using this data with Place of work (POWP) data, users should be aware that POWP refers to the main job last week, while MTWP refers to Census day. This may explain why, for a small proportion of records, MTWP data may appear inconsistent with POWP or Place of usual residence (PURP) information. 

For example, a person may have been working in the centre of Perth on 10 August 2021 and have travelled there by train, however in the week before the Census, they may have been working in an outer suburb of Perth and travelled there by car. In this case, the person would have their MTWP as train on the Census form, whilst their usual travel pattern would be by car.

Other scenario examples:

  • If a person who had a job became unemployed, retired or on leave on 10 August 2021, their MTWP would not reflect their usual travel pattern.
  • If a person who was unemployed but gained employment in the week before Census, their MTWP would not be captured. The sequencing of questions is based on labour force status in the week before Census.
  • If a person rides a bicycle a couple days per week, but ‘usually’ catches the bus, the MTWP focuses on the activity specific to Census day, to capture the minor mode of travel i.e. bicycle.
Walked only

If a person walked some of the way to work and used other methods, it is not included as an additional method. For example, if they walked then caught the bus, then ‘Bus’ only should be selected. Only if the person walked all the way to work, should ‘Walked only’ be selected.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work.  Guidance on how to correctly respond was provided at the time on the Census website, as follows:

Answering questions about your workplace and job role

If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.

Answering questions about whether you had a job

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Answering questions about your workplace and job role

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and  information about your employer (such as industry and number of employees). 

Related variables and glossary terms

  • Method of travel to work (MTWP)
  • Method of travel to work (6 modes) (MTW06P)
  • Place of work (POWP)
  • Distance to work (ranges) (DTWP)

Method of travel to work (MTWP)

Definition

This variable records up to three methods, or means, of travel to work on the day of the Census, for each person aged 15 years and over who was employed during the week before the Census. The question allows for multiple responses across all categories except walked only, worked at home, and did not go to work.

Scope

Persons aged 15 years and over employed during the week before the Census

Categories

Question(s) from the Census form

How did the person get to work on Tuesday 10 August 2021?

How this variable is created

The responses to this question are captured automatically from mark box responses on the Census form. Respondents were able to select more than one response with up to three methods recorded. Where more than three methods were used, responses were accepted in the order they appeared on the form and the extra responses were rejected.

In cases where the combination of responses contained 'Did not go to work', 'Worked at home' or 'Walked only', then these unique responses override any others. If more than one of these unique responses is in the same combination, then a single response is selected in the order they appear. 

History and changes

The question relating to Method of travel to work (MTWP) was first asked in the 1976 Census. Similar questions have been asked in every Census since then.

In 2021 changes were made to the Census question for two categories:

  • 'Taxi' has been changed to 'Taxi/ride-share service'
  • 'Tram' has been changed to 'Tram/light rail'

Data use considerations

This variable is used with Place of usual residence (PURP) and Place of work (POWP) address to construct 'journey to work' data for transport planning.

Unlike most Census variables, the non-response rate for Method of travel to work (MTWP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Method of travel to work.

The non-response rate for Method of travel to work (MTWP) was 0.5% in 2021. This is a decrease from 1.0% in 2016.

Usual method of travel to work

When using this data with POWP data, users should be aware that POWP refers to the main job last week, while MTWP refers to Census day. This may explain why, for a small proportion of records, MTWP data may appear inconsistent with POWP or PURP information. 

For example, a person may have been working in the centre of Perth on 10 August 2021 and have travelled there by train, however in the week before the Census, they may have been working in an outer suburb of Perth and travelled there by car. In this case, the person would have their MTWP as 'Train' on the Census form, whilst their usual travel pattern would be by car.

Other scenario examples:

  • If a person who had a job became unemployed, retired or on leave on 10 August 2021, their method of travel to work would not reflect their usual travel pattern.
  • If a person who was unemployed but gained employment in the week before Census, their method of travel to work would not be captured. The sequencing of questions is based on labour force status in the week before Census.
  • If a person rides a bicycle a couple days per week, but ‘usually’ catches the bus, the Method of travel to work focuses on the activity specific to Census day, to capture the minor mode of travel i.e. bicycle.
Walked only

If a person walked some of the way to work and used other methods, it is not included as an additional method. For example, if they walked then caught the bus, then ‘Bus’ only should be selected. Only if the person walked all the way to work, should ‘Walked only’ be selected.

Lockdown

A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes.  Not only may this impact their responses for their place of work, but also, their travel to work.  Guidance on how to correctly respond was provided at the time on the Census website, as follows:

Answering questions about your workplace and job role

If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.

Answering questions about whether you had a job

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.

Answering questions about your workplace and job role

If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and  information about your employer (such as industry and number of employees). 

Related variables and glossary terms

Number of motor vehicles (VEHD)

Definition

This variable records the number of registered motor vehicles owned or used by household members that were garaged or parked at or near private dwellings on Census Night. It includes vans and company-owned vehicles and excludes motorbikes, scooters and heavy motor vehicles.

Scope

Occupied private dwellings

Categories

Code Category
00 No motor vehicles
01-29 1-29 motor vehicles singly
30 30 or more motor vehicles
&& Not stated
@@ Not applicable

Number of categories: 33

Not applicable (@@) comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1

Question(s) from the Census form

How many registered motor vehicles owned or used by residents of this dwelling were garaged or parked at or near this dwelling on the night of Tuesday 10 August 2021?

How this variable is created

Number of motor vehicles is a dwelling variable created from the number of motor vehicles owned or used question. Data for this variable is captured automatically from a written numeric response or by marking the 'None' mark box on the paper form.

This variable includes single fields for values from 0 to 29. Values of 30 or more are grouped together. The related variable Number of motor vehicles (ranges) (VEHRD) groups responses to this question differently, with responses for 1 to 3 motor vehicles available singly, and responses of 4 or more motor vehicles coded into the grouped category of 'Four or more motor vehicles'.

History and changes

This variable was first introduced in 1966. The question has remained in all subsequent censuses.

In 2001 this question also asked for the number of motorbikes and motor scooters. In 2006, asking for motorbikes and motor scooters was removed because of their lesser impact on the transport system.

In 2021, additional instructional text was added to exclude heavy motor vehicles. This was done to better clarify the existing definition of a motor vehicle.

Data use considerations

Governments and councils use information from this question to plan transport infrastructure and services. Motorbikes and motor scooters are excluded from this question because of their lesser impact on the transport system. The question also excludes heavy motor vehicles (over 4.5t GVM). Tractors, boats and caravans are also not included.

The data may include a small proportion of dwellings with unusually large numbers of vehicles, as all numeric responses are accepted as reported.

The non-response rate for Number of motor vehicles (VEHD) was 5.4% in 2021. This is a decrease from 8.4% in 2016. 

Related variables and glossary terms

  • Number of motor vehicles (ranges) (VEHRD)
  • Place of usual residence (PURP)

Number of motor vehicles (ranges) (VEHRD)

Definition

This variable records the number in ranges of registered motor vehicles owned or used by household members that were garaged or parked at or near private dwellings on Census Night. It includes vans and company owned vehicles and excludes motorbikes, scooters and heavy motor vehicles.

Scope

Occupied private dwellings

Categories

Code Category
0 No motor vehicles
1 One motor vehicle
2 Two motor vehicles
3 Three motor vehicles
4 Four or more motor vehicles
& Not stated
@ Not applicable 

Number of categories:  7

Not applicable (@) comprises:

  • Unoccupied private dwellings
  • Non-private dwellings
  • Migratory, off-shore and shipping SA1

Question(s) from the Census form

How many registered motor vehicles owned or used by residents of this dwelling were garaged or parked at or near this dwelling on the night of Tuesday 10 August 2021?

How this variable is created

Number of motor vehicles (ranges) is a dwelling variable created from the number of motor vehicles owned or used question. Data for this variable is captured automatically from a written numeric response or by marking the 'None' mark box on the paper form.

This variable groups responses to this question, with 1 to 3 motor vehicles available singly, then responses of 4 or more motor vehicles coded into the grouped category of 'Four or more motor vehicles'.  The related variable Number of motor vehicles (VEHD) groups these responses differently, with single fields for values from 0 to 29, and values of 30 or more grouped together. 

History and changes

This variable was first introduced in 1966. The question has remained in all subsequent Censuses.

In 2001 this question also asked for the number of motorbikes and motor scooters. In 2006, asking for motorbikes and motor scooters was removed because of their lesser impact on the transport system.

In 2021, additional instructional text was added to exclude heavy motor vehicles. This was done to better clarify the existing definition of a motor vehicle.

Data use considerations

Governments and councils use information from this question to plan transport infrastructure and services. Motorbikes and motor scooters are excluded from this question because of their lesser impact on the transport system. The question also excludes heavy motor vehicles (over 4.5t GVM). Tractors, boats and caravans are also not included.

The data may include a small proportion of dwellings with unusually large numbers of vehicles, as all numeric responses are accepted as reported.

This variable is derived from Number of motor vehicles (VEHD). The non-response rate for Number of motor vehicles (VEHD) was 5.4% in 2021. This is a decrease from 8.4% in 2016. 

Related variables and glossary terms

  • Number of motor vehicles (VEHD)
  • Place of usual residence (PURP)

Unpaid work and care

Mnemonic  Variable  Release  
CHCAREP Unpaid child care June 2022
DOMP Unpaid domestic work: number of hours June 2022
VOLWP Voluntary work for an organisation or group June 2022

Unpaid child care (CHCAREP)

Definition

This variable records people who, in the two weeks prior to Census Night, spent time caring for a child or children aged under 15 years without pay. It excludes care for a child given through an organisation or club. It includes people:

  • caring for their own children, whether they usually live with them or not
  • looking after other children in a family, such as grandchildren or children of relatives
  • looking after children of friends or neighbours.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Did not provide child care
2 Cared for own child/children
3 Cared for other child/children
4 Cared for own child/children and other child/children
& Not stated
@ Not applicable
V Overseas visitor

Number of categories: 7

Not applicable (@) category comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the last two weeks did the person spend time looking after a child, without pay?

How this variable is created

This variable is created from responses to the unpaid care question on the Census form. There is minimal risk to the errors in data processing as the answers are captured automatically from the mark box responses. If multiple responses are recorded, the ‘Yes’ responses are retained and the ‘No’ response is rejected.

History and changes

The question on unpaid care for children was first asked in 2006.

No changes have been made for 2021.

Data use considerations

Comparison with other surveys

Care should be taken when comparing Census data on unpaid child care with information from other surveys and publications. Definitions can differ between different statistical collections and may not match Census definitions.

Age and Unpaid child care data 

When analysing Unpaid child care data, users may notice older respondents who reported they cared for their own child. A small number of this group had their ages imputed, either due to the lack of respondent information or to conform to family processing rules. Imputation rules do not reference unpaid child care as a factor, so there is no statistical correlation between the fields Age and Unpaid child care for this group. The remainder reported their date of birth and/or age last birthday, and the output Age remains as reported.

The following scenarios are possible for this data: 

  • Both variables are correct (for example an older parent looking after their child)
  • Age is correct and the Unpaid child care response is wrong. Respondents may have misunderstood the child care question e.g. considered grandchildren, other children in the extended family to be their 'own children' or did not realise that the question referred to only children who were less than 15 years of age, or mistakenly included children (15 years and over) with a disability
  • Age is incorrect and Unpaid child care is correct 
  • Neither variable is correct

The non-response rate for Unpaid child care (CHCAREP) was 6.4% in 2021. This is a decrease from 8.3% in 2016. 

Related variables and glossary terms

Unpaid domestic work: number of hours (DOMP)

Definition

This variable records the number of hours people spent in the previous week doing domestic work without pay. Domestic work is work for the individual or household, whether in the household or in other places. Unpaid domestic work can include:

  • meal preparation, service and clean-up
  • washing, ironing and managing clothes
  • any other housework
  • gardening, mowing and yard work
  • home maintenance
  • car/bike maintenance
  • household shopping and managing household financial affairs
  • maintaining home internet connections and computer systems.

Any domestic work done as part of paid employment is excluded. Data from this variable will help provide an understanding of the way individuals and families balance paid work with other important aspects of their lives. For example, family and community commitments.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Nil hours
2 Less than 5 hours
3 5 to 14 hours
4 15 to 29 hours
5 30 hours or more
& Not stated
@ Not applicable
V Overseas visitor

Number of categories: 8

Not applicable (@) category comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the last week did the person spend time doing unpaid domestic work for their household?

How this variable is created

The variable is recorded directly from the unpaid domestic work question on the Census form. The responses to this question are captured automatically from mark box responses so the risk of errors during data processing are minimal. Where more than one response is marked, the 'Yes' response with the highest number of hours is accepted. This is accepted over any other responses, including any 'No' response.

History and changes

The question on unpaid domestic work was first asked in 2006.

No changes have been made for 2021.

Data use considerations

There are no data use considerations for this variable.

The non-response rate for Unpaid domestic work: number of hours (DOMP) was 6.6% in 2021. This is a decrease from 8.8% in 2016.

Related variables and glossary terms

  • Relationship in household (RLHP)
  • Voluntary work for an organisation or group (VOLWP)

Voluntary work for an organisation or group (VOLWP)

Definition

This variable records people who spent time doing unpaid voluntary work for an organisation or group in the twelve months prior to Census Night.

Unpaid voluntary work can include:

  • assisting at organised events and with sports organisations
  • helping with organised school events and activities
  • assisting in churches, hospitals, nursing homes and charities
  • other kinds of volunteer work (e.g. emergency services, serving on a committee for a club, etc.).

Organisations or groups can include:

  • sporting teams
  • youth groups
  • schools
  • religious organisations.

Unpaid voluntary work for an organisation or group excludes work done:

  • as part of paid employment
  • in a family business
  • to qualify for a government benefit
  • to obtain an educational qualification
  • due to a community or court order.

Scope

Persons aged 15 years and over

Categories

Code Category
1 Not a volunteer
2 Volunteer
& Not stated
@ Not applicable
V Overseas visitor

Number of categories: 5

Not applicable (@) category comprises:

  • Persons aged under 15 years

See Understanding supplementary codes for more information.

Question(s) from the Census form

In the last twelve months did the person spend any time doing unpaid voluntary work for an organisation or group?

How this variable is created

The variable is recorded directly from the voluntary work question on the Census form. The responses to this question are recorded automatically from mark box responses, so the risk of errors during data processing are minimal. If both responses are recorded, the ‘Yes’ is accepted. The ‘No’ response will be rejected.

History and changes

The question on voluntary work for an organisation or group was first asked in 2006.

No changes have been made for 2021.

Data use considerations

Unpaid voluntary work for an organisation or group may include care of a child or care of a person with disability, a long-term illness or problems with old age. Unpaid child care (CHCAREP) and Unpaid assistance to a person with a disability, health condition or due to old age (UNCAREP) both exclude unpaid voluntary work for an organisation or group.

Care should be taken when comparing Census data on Voluntary work for an organisation or group with information from other surveys and publications. Definitions can differ between different statistical collections and may therefore not be comparable.

The non-response rate for Voluntary work for an organisation or group (VOLWP) was 6.4% in 2021. This is a decrease from 8.2% in 2016. 

Related variables and glossary terms

  • Unpaid child care (CHCAREP)
  • Unpaid domestic work: number of hours (DOMP)
  • Unpaid assistance to a person with a disability, health condition or due to old age (UNCAREP)

National reporting indicators

Mnemonic  Variable  Release  
C3SP Attainment of certificate III or higher or working towards a non-school qualification October 2022
EMFP Employment flag October 2022
LFFP Labour force participation flag October 2022
SVFP Level of workplace participation survey comparison flag October 2022
UEFP Unemployment flag October 2022
WTNSQP People with or working towards a non-school qualification October 2022 New
YR12C2P Attainment of year 12 or certificate II or higher October 2022
YR12C3P Attainment of year 12 or certificate III or higher October 2022

Supporting variables

Mnemonic  Variable  Variable Topic Release  
AGEP Age Population June 2022
EETP Engagement in employment, education and training Education and training October 2022
HEAP Level of highest educational attainment Education and training June 2022
HOSD Housing suitability Housing June 2022
INGP Indigenous status Aboriginal and Torres Strait Islander peoples June 2022

Attainment of Certificate III or higher or working towards a non-school qualification (C3SP)

Definition

This variable is used for national reporting purposes.

This variable indicates whether a person has attained a Certificate III or higher or is currently studying a non-school qualification. This allows for calculation of the proportion of the population that has attained the relevant qualifications or is studying for a non-school qualification. This variable can be used for the calculation of the proportion of the population that is employed, as used in the Closing the Gap Target 7 – youth are engaged in employment or education.

 

Scope

All persons aged 15 years and over

Categories

Code Category
1 Attained Certificate III or higher or studying for a non-school qualification
2 Has not attained Certificate III or higher and is not studying for a non-school qualification
@ Not applicable*
V Overseas visitor*

Number of categories: 4

Not applicable (@) comprises:

  • Persons under 15 years of age
  • Persons whose Non-school qualification: level of education was Not stated or inadequately described and who were not currently attending an educational institution or whose Type of educational institution currently attending was Secondary level or below.
  • Persons who had not completed a Non-school qualification: level of education at Certificate III or higher and whose Type of educational institution currently attending was Not stated
  • Persons whose Non-school qualification: level of education was Not stated or inadequately described and whose Type of educational institution currently attending was Not stated

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information

Question(s) from the Census form

What type of education institution is the person attending?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

How this variable is created

This variable is created by combining information from:

  • Non-school qualifications: level of education (QALLP)
  • Type of educational institution attending (TYPP)

A matrix is included in the downloads to show how the variable is created.

History and changes

This variable was first created in 2016. For 2021, overseas visitors have been separated out from the not applicable category into a separate category.

Data use considerations

This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Related variables and glossary terms

  • Attainment of Year 12 or Certificate II or higher (YR12C2P)
  • Attainment of Year 12 or Certificate III or higher (YR12C3P)
  • Non-school qualifications: level of education (QALLP)
  • Type of educational institution attending (TYPP)

Downloads

National reporting indicators 2021

Employment flag (EMFP)

Definition

This variable is used for national reporting purposes.

This variable flags whether a person is employed or unemployed/not in the labour force. This variable can be used for the calculation of the proportion of the population that is employed, as used in the Closing the Gap Target 8 – strong economic participation and development of people and their communities.

Scope

All persons aged 15 years and over

Categories

Code Category
1 Employed
2 Unemployed or not in the labour force
@ Not applicable*
V Overseas visitor*

Number of categories: 4

Not applicable (@) comprises:

  • Persons whose Labour force status (LFSP) was Not stated
  • Persons under 15 years of age

*  Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business?

Last week, how many hours did the person work in all jobs?

Did the person actively look for work at any time in the last four weeks?

If the person had found a job, could the person have started work last week?

How this variable is created

Data for this variable is created by making custom categories from Labour force status (LFSP) as shown in the table below:

Labour force status (LFSP) Employment flag (EMFP)
1 Employed, worked full-time 1 Employed
2 Employed, worked part-time 1 Employed
3 Employed, away from work 1 Employed
4 Unemployed, looking for full-time work 2 Unemployed or not in the labour force
5 Unemployed, looking for part-time work 2 Unemployed or not in the labour force
6 Not in the labour force 2 Unemployed or not in the labour force
& Not stated @ Not applicable*
@ Not applicable (Persons aged under 15 years) @ Not applicable*
V Overseas visitor V Overseas visitor*

History and changes

This variable was first created in 2016. For 2021, ‘Overseas visitor’ has been separated out from the ‘Not applicable’ category, into a separate category.

Data use considerations

This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable is derived from the Labour force status (LFSP) variable. The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.

Closing the Gap and Other National Government Reporting

This variable aims to provide data on Target 8 for the National Agreement for Closing the Gap:

  • By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-64 who are employed to 62 per cent.

Employment flag (EMFP), Indigenous status (INGP) and Age (AGEP) variables should be used to report on this measure. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used for this measure.

For more information about ABS collections used in Closing the Gap and other National Government Reporting, see Closing the Gap and Other National Reporting.

Comparing Census with the ABS Labour Force Survey

The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.

Related variables and glossary terms

  • Labour force status (LFSP)
  • Labour force participation flag (LFFP)
  • Unemployment flag (UEFP)

Labour force participation flag (LFFP)

Definition

This variable is used for national reporting purposes.

This variable flags whether or not a person is participating in the labour force for people who had a stated Labour force status (LFSP). This variable can be used for the calculation of the proportion of the population that is employed, as used in Closing the Gap Target 8 – Strong economic participation and development of Aboriginal and Torres Strait Islander people and communities.

Scope

All persons aged 15 years and over

Categories

Code Category
1 Participates in the Labour Force
2 Not in the Labour Force
@ Not applicable*
V Overseas visitor*

Number of categories: 4

Not applicable (@) comprises:

  • Persons under 15 years of age
  • Persons whose Labour force status (LFSP) was Not stated

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business

Last week, how many hours did the person work in all jobs?

Did the person actively look for work at any time in the last four weeks?

If the person had found a job, could the person have started work last week?

How this variable is created

Data for this variable is created by making custom categories from Labour force status (LFSP) as shown in the table below:

Labour force status (LFSP) Labour force participation flag (LFFP)

1 Employed, worked full-time

1 Participates in the Labour Force

2 Employed, worked part-time

1 Participates in the Labour Force

3 Employed, away from work

1 Participates in the Labour Force

4 Unemployed, looking for full-time work

1 Participates in the Labour Force

5 Unemployed, looking for part-time work

1 Participates in the Labour Force

6 Not in the labour force

2 Not in the Labour Force

& Not stated

@ Not applicable*

@ Not applicable (Persons aged under 15 years)

@ Not applicable*

V Overseas visitor

V Overseas visitor*

History and changes

This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.

Data use considerations

This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable is derived from the Labour force status (LFSP) variable. The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.

Comparing Census with the ABS Labour Force Survey

The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in the Comparing the 2021 Census and the Labour Force Survey

Related variables and glossary terms

Level of workforce participation survey comparison flag (SVFP)

Definition

This variable is used for national reporting purposes.

This variable approximates a population that is comparable with in-scope survey populations as used in the Closing the Gap Target 8 – strong economic participation and development of people and their communities.

Scope

All persons aged 15 years and over

Categories

Code Category
1 In scope of national reporting level of workforce participation survey comparison population
@ Not applicable*

Number of categories: 2

Not applicable (@) comprises:

  • Persons living in non-private dwellings
  • Persons living in non-classifiable households
  • Persons who reported their Industry of employment (INDP) as ‘Foreign Government Representation’ or ‘Defence’
  • Persons under 15 years of age
  • Visitors (from within Australia)
  • Overseas visitors

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

Question(s) from the Census form

This variable is not derived from a question, but by other variables.  See 'How this variable is created' for further information.

How this variable is created

To determine the people who are in scope for this variable, the following variables are used:

History and changes

This variable was first created in 2016. No changes have been made for 2021.

Data use considerations

This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Unemployment flag (UEFP)

Definition

This variable is used for national reporting purposes.

This variable flags whether a person is unemployed or employed for people who reported they are in the labour force. This variable can be used to calculate the proportion of the labour force that is unemployed, as used in Closing the Gap Target 8 – Strong economic participation and development of Aboriginal and Torres Strait Islander people and communities.

Scope

All persons aged 15 years and over

Categories

Code Category
1 Unemployed
2 Employed
@ Not applicable*
V Overseas visitor*

Number of categories: 4

Not applicable (@) comprises:

  • Persons under 15 years of age
  • Persons whose Labour force status (LFSP) was Not stated or Not in the labour force

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information.

Question(s) from the Census form

Last week, did the person have a job of any kind?

In the main job held last week, was the person: Working for an employer; Working in own business

Last week, how many hours did the person work in all jobs?

Did the person actively look for work at any time in the last four weeks?

If the person had found a job, could the person have started work last week?

How this variable is created

Data for this variable is created by making custom categories from Labour force status (LFSP) as shown in the table below:

Labour force status (LFSP) Labour force participation flag (LFFP)
1 Employed, worked full-time 2 Employed
2 Employed, worked part-time 2 Employed
3 Employed, away from work 2 Employed
4 Unemployed, looking for full-time work 1 Unemployed
5 Unemployed, looking for part-time work 1 Unemployed
6 Not in the labour force @ Not applicable*
& Not stated @ Not applicable*
@ Not applicable (Persons aged under 15 years) @ Not applicable*
V Overseas visitor V Overseas visitor*

History and changes

This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.

Data use considerations

This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable is derived from the Labour force status (LFSP) variable. The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.

Comparing Census with the ABS Labour Force Survey

The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey

Related variables and glossary terms

  • Employment flag (EMFP)
  • Labour force participation flag (LFFP)
  • Labour force status (LFSP)

People with or working towards a non-school qualification (WTNSQP)

Definition

This variable is used for national reporting purposes.

This variable indicates whether a person has a non-school qualification, is working towards a non-school qualification or both. 

Scope

All persons aged 15 years and over

Categories

Code Category
1 With a non-school qualification only
2 Working towards a non-school qualification only
3 With and working towards a non-school qualification
4 Not with or working towards a non-school qualification
& Status not determined/Not stated*
@ Not applicable*
V Overseas visitor*

Number of categories: 7

Not applicable (@) comprises:

  • Persons under 15 years of age
  • Persons whose Type of educational institution attending was Primary school

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information.

Question(s) from the Census form

What type of education institution is the person attending?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

How this variable is created

This variable is created by combining information from:

  • Non-school qualifications: level of education (QALLP)
  • Type of education institution attending (TYPP)

A matrix is included in the downloads to show how the variable is created.

History and changes

This is a new variable for 2021.

Data use considerations

This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Report on Government Services (RoGS)

This variable can be used to provide data for indicators in the Report on Government Services (RoGS) Chapter B Child care, education and training sector overview:

  • BA.7 Proportion of 20-64 year olds with or working towards a non-school qualification
  • BA.8 Proportion of 20-64 year olds with or working towards a non-school qualification, by Indigenous status

Employment flag (EMFP), Indigenous status (INGP) and Age (AGEP) variables should be used to report on this measure. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used when reporting on this measure.

Related variables and glossary terms

  • Non-school qualifications: level of education (QALLP)
  • Type of education institution attending (TYPP)

Downloads

National reporting indicators 2021

Attainment of Year 12 or Certificate II or higher (YR12C2P)

Definition

This variable is used for national reporting purposes.

This variable indicates whether a person has attained Year 12 or equivalent or Certificate II or higher. This allows calculation of the proportion of the population that has attained the relevant qualifications, as used in the Closing the Gap Target 6 – Aboriginal and Torres Strait Islander students reach their full potential through further education pathways.

Scope

All persons aged 15 years and over

Categories

Code Category
1 Attained Year 12 or equivalent or Certificate II or higher
2 Has not attained Year 12 or equivalent or Certificate II or higher
@ Not applicable*
V Overseas visitor*

Number of categories: 4

Not applicable (@) comprises:

  • Persons without Year 12 attainment whose Non-school qualification: level of education was Not stated or inadequately described
  • Persons who did not state their highest year of school completed and who had not completed a Non-school qualification: level of education at Certificate II or higher
  • Persons who did not state their highest year of school completed and whose Non-school qualification: level of education was Not stated or inadequately described
  • Persons under 15 years of age

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the highest year of primary or secondary school the person has completed?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

How this variable is created

This variable is created by combining information from:

  • Highest year of school completed (HSCP)
  • Non-school qualifications: level of education (QALLP)

A matrix is included in the downloads to show how the variable is created.

History and changes

This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.

Data use considerations

This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.

Report on Government Services (RoGS)

This variable can be used to provide data for indicators in the Report on Government Services (RoGS) Chapter B Child care, education and training sector overview:

  • BA.10 People aged 20-24 years who have completed year 12 (or equivalent) or Certificate II level or above, by Indigenous status

Indigenous status (INGP) and Age (AGEP) will also have to be used to report on these measures. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used when reporting on these measures.

Related variables and glossary terms

  • Highest year of school completed (HSCP)
  • Non-school qualifications: level of education (QALLP)
  • Attainment of Year 12 of Certificate III or higher (YR12C3P)

Downloads

National reporting indicators 2021

Attainment of Year 12 or Certificate III or higher (YR12C3P)

Definition

This variable is used for national reporting purposes.

This variable indicates whether a person has attained Year 12 or equivalent or Certificate III or higher. This allows calculation of the proportion of the population that has attained the relevant qualifications, as used in the Report on Government Services (RoGS) Indicator BA. 12 – Proportion of 20-24 year olds who have completed Year 12 (or equivalent) or Certificate III level or higher.

Scope

All persons aged 15 years and over

Categories

Code Category
1 Attained Year 12 or equivalent or Certificate III or higher
2 Has not attained Year 12 or equivalent or Certificate III or higher
@ Not applicable*
V Overseas visitor*

Number of categories: 4

Not applicable (@) comprises:

  • Persons without Year 12 attainment whose Non-school qualification: level of education was Not stated or inadequately described
  • Persons who did not state their Highest year of school completed and who had not completed a Non-school qualification: level of education at Certificate III or higher
  • Persons who did not state their Highest year of school completed and whose Non-school qualification: level of education was Not stated or inadequately described
  • Persons under 15 years of age

* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.

See Understanding supplementary codes for more information.

Question(s) from the Census form

What is the highest year of primary or secondary school the person has completed?

Has the person completed any educational qualification?

What is the level of the highest qualification the person has completed?

How this variable is created

This variable is created by combining information from:

  • Highest year of school completed (HSCP)
  • Non-school qualifications: level of education (QALLP)

A matrix is included in the downloads to show how the variable is created.

History and changes

This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.

Data use considerations

This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.

Categories marked with an '*' are to be excluded from data extracted for national reporting purposes. 

This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. 

Closing the Gap and Other National Government Reporting

This variable can be used to provide data on Target 5 for the National Agreement for Closing the Gap:

  • By 2031, increase the proportion of Aboriginal and Torres Strait Islander people (age 20-24) attaining year 12 or equivalent qualification to 96 per cent

Indigenous status (INGP) and Age (AGEP) will also have to be used to report on this measure. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used for this measure.

For more information about ABS collections used in Closing the Gap and other National Government Reporting, see Closing the Gap and Other National Government Reporting.

Report on Government Services (RoGS)

This variable can be used to provide data for indicators in the Report on Government Services:

  • BA.12 Proportion of 20-24 year olds who have completed year 12 (or equivalent) or Certificate III level or above
  • BA.14 Proportion of 20-64 year olds with qualifications at Certificate III level or above, by age group
  • BA.15 Proportion of 20-64 year olds with qualifications at Certificate III level or above, by Indigenous status

Indigenous status (INGP) and Age (AGEP) will also have to be used to report on these measures. 'Not applicable’ and ‘Overseas visitors’ categories should not be used when reporting on these measures.

Related variables and glossary terms

  • Highest year of school completed (HSCP)
  • Non-school qualifications: level of education (QALLP)
  • Attainment of Year 12 of Certificate II or higher (YR12C2P)

Downloads

National reporting indicators 2021

Glossary

A
  Aboriginal and/or Torres Strait Islander
  Address
  Administrative data
  Adopted child
  Australian born
  Australian Census longitudinal dataset (ACLD)
  Australian residents temporarily overseas
  Average persons per household
B
  Boarding school student
C
  Caravans
  Census and Statistics Act 1905
  Census counts
  Census date
  Census time capsule
  Child
  Confidentiality
  Contributing family worker
  Couple family
D
  Data processing
  Derivation
  Destination zone
  Dwelling
E
  Employed
  Employed, away from work
  Employee
  Enumeration
  Estimated Resident Population (ERP)
  Ethnicity
F
  Family
  First generation Australians 
  Foster child
G
  Geography
  Government benefits, pensions and allowances
  Group household
H
  Homelessness enumeration
  Hotdecking
  Household
  Household form
I
  Improvised home
  Imputation
  Industry
  Intelligent Character Recognition (ICR)
  Internal migration
  Interviewer Household Form
  Introduced random error/perturbation
J
  Job
L
  Labour force
  Lone parent
  Lone person household
  Long-term health condition(s)
M
  Manufactured home estates
  Marital status
  Median income
  Mnemonics
  Multiple family households
N
  Name
  Name and address retention
  Name of employer
  Negative income
  Nominal child
  Non-binary sex
  Non-family member
  Non-response
  Not in the labour force
O
  One-parent family
  Or equivalent level of education
  Other family
  Other related individual
  Overcount
  Overseas born
  Owner managers
P
  Parent
  Parent-child relationship
  Partner
  Part-time work
  Personal form
  Place of enumeration
  Post Census Review (PCR)
  Post Enumeration Survey (PES)
Q
  Quality assurance
R
  Recodes and user defined fields
  Reference person/Person 1
  Response rate
S
  Same-sex couple
  Second generation Australians 
  Self-enumeration
  Socio-Economic Indexes for Areas (SEIFA)
  Special purpose codes
  Special short form
  Step child
  Supplementary codes
T
  Temporarily absent
  Third-plus generation Australians 
U
  Undercount and/or underenumeration
  Unemployed
  Unit record file
  Unrelated individual living in a family household
  Usual residence
V
  Visitors to a household
  Visitors to Australia
W
  Working population

 

A

Aboriginal and/or Torres Strait Islander

People who identified themselves, or were identified by another household member, as being of Aboriginal origin, Torres Strait Islander origin, or both Aboriginal and Torres Strait Islander origin.

See also Aboriginal and Torres Strait Islander ancestries, Indigenous household indicator (INGDWTD), Indigenous status (INGP), Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP) and Aboriginal and Torres Strait Islander family indicator (INGF).

Address

‘A structured label for any location where one would expect to deliver or receive a good or service’. This is the working definition used by Geoscape Australia, which aims to include all physical addresses, and exclude non-physical addresses such as post office boxes or email addresses.

Addresses are collected in the Census because data is required for key characteristics about where Australians live and work. Addresses are collected to:

  • release accurate data for geographic areas, such as postal areas, states and territories, capital cities, towns, remote areas and many more
  • produce population estimates for regions to help with the distribution of government funds and for electoral purposes
  • help understand how and where people travel to work
  • enable the development of a higher quality ABS Address Register, which is used widely to develop better survey processes, and improve processes and systems for the next Census.

See also Confidentiality and Name and address retention.

Administrative data

Administrative data is information that government departments, businesses and other organisations collect. They collect information for a range of reasons such as:

  • registrations
  • sales
  • record keeping.

Some examples of administrative data:

  • personal income tax information from the Australian Taxation Office
  • information about the number of people who use Medicare from the Department of Health.

The ABS only collects and uses administrative data for statistics and research. We don't share or release this information in a way that could identify anyone.

See also how administrative data was used in the Census.

Adopted child

The Census does not seek to separately identify adopted children. An adopted child is, in most cases, reported as the child of person 1 and/or person 2 in the relationship question, and is coded in the same way as a natural child.

See also Child, Child type (CTPP) and Reference person/Person 1.

Australian born

Australian born includes all people born in Australia, and excludes people:

  • born overseas
  • born at sea
  • whose response was classified 'Inadequately described'
  • whose response was classified 'Not elsewhere classified'

Australia in this definition is as set out in section 2B of the Acts Interpretation Act 1901 and for the 2021 Census includes: the six states, the Northern Territory, the Australian Capital Territory, Jervis Bay Territory, and the territories of Christmas Island, Cocos (Keeling) Islands and Norfolk Island.

See also Country of birth of person (BPLP).

Australian Census Longitudinal Dataset (ACLD)

ACLD uses data from the Census of Population and Housing to build a longitudinal picture of Australian society. The first release of ACLD was based on a random 5% sample from the 2006 Census, brought together with records from the 2011 and 2016 Census using probabilistic linking methods. 

See also Microdata: Australian Census Longitudinal Dataset.

Australian residents temporarily overseas

The Census counts people in Australia on Census Night, therefore Australian residents temporarily overseas are excluded. However, administrative data for overseas arrivals and departures enable their inclusion in the Estimated Resident Population.

See also Estimated Resident Population (ERP) and Temporarily absent

Average persons per household

Average persons per household (also known as average household size) is the average number of people usually resident in an occupied private dwelling.

This is calculated by taking the sum of the number of persons usually resident in a dwelling for all occupied private dwellings and dividing by the total number of occupied private dwellings. 

The total number of people usually resident in dwellings is calculated from the Number of persons usually resident in dwelling (NPRD). The classification is weighted such that one person receives a weight of one; two people receive a weight of two; and so on until the maximum weight of eight. 

This calculation excludes:

  • dwellings where not applicable responses were found in the Number of persons usually resident in dwelling (NPRD) classification and
  • visitor only, other non-classifiable and not applicable dwellings using the Household composition (HHCD) classification.

B

Boarding school student

Boarders at school or college are specifically asked to record the address of the school or college as their usual residence if they intend to live there for a total of 6 months or more. This instruction was not given in censuses prior to 1986 and often these people incorrectly reported their family home as their place of usual residence.

See also Type of non-private dwelling (NPDD).

C

Caravans

Caravans that are occupied are usually treated as private dwellings. This includes caravans and campervans that are located on: 

  • caravan or residential parks
  • camping grounds
  • roadsides or open land.

Caravans on residential allotments are also usually treated as an occupied private dwelling. The exception to this is where there are one or more other structures on the allotment and the occupants of the caravan are residents of the main dwelling. In this case the occupants are all classed as one household and the caravan is counted as an additional room of the main dwelling. 

See also Dwelling type (DWTD), Dwelling structure (STRD).

Census and Statistics Act 1905

The Census and Statistics Act 1905 (CSA) provides the Australian Statistician with the authority to conduct statistical collections, including the Census of Population and Housing, and, when necessary, to direct a person to provide statistical information.

See also Legislative framework and Confidentiality.

Census counts

The Census counts people where they were located on Census Night and this count of the population is referred to as the place of enumeration count. A count of the population based on their place of usual residence is also available. In censuses prior to 2006, many of the Census products presented data on a place of enumeration basis. Since 2006, the focus has been on place of usual residence.

Census counts by place of usual residence:

  • exclude overseas visitors 
  • exclude Australian residents temporarily overseas.

The variables Family composition (FMCF) and Household composition (HHCD) are coded on a place of usual residence basis rather than a place of enumeration basis. All visitors to dwellings are excluded when coding these variables. Usual residents who are reported as 'temporarily absent' are included in the coding of Family composition (FMCF) and Household composition (HHCD).

See also Estimated resident population (ERP), Household, Place of enumeration, Place of usual residence (PURP), and Usual residence.

Census date

The date of the 2021 Census was Tuesday 10 August 2021.

Census time capsule

From the 2001 Census, the Census form has included an optional question asking whether each person in the household agrees to have their personally identified information kept and securely held by the National Archives of Australia for 99 years. This personally-identified Census information will not be available for any purpose (including to courts and tribunals) within the 99 year closed access period and cannot be accessed, altered or retrieved before that time.

After 99 years, the name identified data will be made public for future generations. The first batch of such information, from the 2001 Census, will be publicly available in 2100. Those accessing the information could include genealogists, historians, social analysts and other researchers in the 22nd century.

Unlike other questions, the Census time capsule question on the form does not relate to a specific Census topic and is not listed in the Census Regulations, with other topics. Rather, the Census time capsule was made possible by an amendment to the Census and Statistics Act 1905.

See also Confidentiality and Name and address retention.

Child

This is a person of any age who is a natural, adopted, step, foster or nominal son or daughter of a couple or lone parent, usually resident in the same household. A child is also any individual under 15, usually resident in the household, who forms a parent-child relationship with another member of the household. This includes otherwise related children less than 15 years of age and unrelated children less than 15 years of age.

In order to be classified as a child, the person can have no identified partner or child of their own usually resident in the household. A separate family in the household is formed in this instance. If a person is aged under 15 and has a partner and/or a spouse these relationships are not recorded.

There are three types of children identified by the Relationship in household (RLHP) variable:

  • child under 15
  • dependent student
  • non-dependent child.

Variables relevant to children are:

  • Child type (CTPP)
  • Count of all children in family (CACF)
  • Count of dependent children aged under 15 temporarily absent (CDCAF)
  • Count of dependent children in family (CDCF)
  • Count of dependent students (15-24 years) temporarily absent (CDSAF)
  • Count of non-dependent children in family (CNDCF)
  • Count of non-dependent children temporarily absent (CNDAF)
  • Count of children with selected long-term health condition(s) in household (CCLTHD)
  • Count of dependent children under 15 (CDCUF)
  • Count of dependent students (15-24 years) (CDSF)
  • Child type (including grandchildren) (CTGP)

Characteristics of children or parents who were temporarily absent on Census Night are not available.

Confidentiality

Under the Census and Statistics Act 1905, the personal information you provide in the Census remains strictly confidential to the ABS. The ABS never has and never will release identifiable Census data. Other organisations, including government departments and marketing companies, cannot have access to personal information you provide on your Census form. 

For more information refer to the 2021 Census Privacy Statement.

See also Census time capsule, Introduced random error/perturbation and Name and address retention.

Contributing family worker

A person who works without pay, in an economic enterprise operated by a relative.

See also Labour force status (LFSP) and Status in employment (SIEMP).

Couple family

A couple family is identified by the existence of a couple relationship. A couple relationship is defined as two people usually residing in the same household who share a social, economic and emotional bond usually associated with marriage and who consider their relationship to be a marriage or marriage-like union. This relationship is identified by the presence of a registered marriage or de facto marriage. A couple family can be with or without children, and may or may not include other related individuals. A couple family with children present can be expanded to elaborate on the characteristics of those children, such as their number, age and dependency status.

See also Family blending (FBLF), Family composition (FMCF), Marital status, Relationship in household (RLHP) and Same-sex couple.

D

Data processing

Data processing includes all steps from receipt of Census responses in either online or in paper form through to the production of a clean Census data file. 

For 2021 Census, a Data Capture Centre (DCC) was established to register, scan and capture data from the paper forms using imaging and Intelligent Character Recognition. A Data Operation Centre was established which was responsible for processing: including frame reconciliation, coding, imputation, editing, and quality assuring all of the 2021 Census Data.

See also 2021 Census methodology and Quality assurance.

Derivation

Derivation is an automated process where some variables are assigned values based on responses to other questions, or, (where no response has been provided), from other family members present in the same dwelling. Examples of these include deriving age from date of birth or automatically setting fields to not-applicable based on responses to other questions.

See also Imputation and Non-response

Destination zone

Destination zones (DZNs) are the spatial unit used to code Place of work (POWP) and are an aggregation of 2021 mesh blocks. DZNs aggregate to statistical areas level 2 (SA2s) in the Australian Statistical Geography Standard (ASGS). Data at DZN level will be available in the Census TableBuilder product.

See also Place of work (POWP) and Australian Statistical Geography Standard (ASGS).

Dwelling

A dwelling is a structure which is intended to have people live in it, and which is habitable on Census Night. Some examples of dwellings are houses, motels, flats, caravans, prisons, tents, humpies and houseboats.

Private dwellings are enumerated using online or paper household forms, which obtain family and relationship data as well as information on the dwelling itself such as rent or mortgage payments and ownership. Non-private dwellings (for example hotels and hospitals) are enumerated using online or paper personal forms. While these forms capture information about the person's residential status within the non-private dwelling, they do not capture information on ownership of, or payments related to, the dwelling.

All occupied dwellings are counted in the Census. Unoccupied private dwellings are also counted. This includes unoccupied units in retirement villages (self-contained). Unoccupied residences of owners, managers or caretakers of caravan parks, marinas and manufactured home estates are also counted, but other unoccupied dwellings in such establishments are not counted.

Since the 2001 Census unoccupied private dwellings have been counted in discrete Indigenous communities.

If a non-private dwelling is unoccupied on Census Night it is out of scope. Unoccupied residences of owners, managers or caretakers of such establishments are counted.

See also Caravans, Dwelling location (DLOD), Dwelling structure (STRD), Dwelling type (DWTD), Household, Manufactured home estates and Type of non-private dwelling (NPDD).

E

Employed

Persons in employment are those of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit. Employment is defined as an activity of one hour or more. 

See also Public/private sector (GNGP), Hours worked (HRSP), Labour force status (LFSP), Occupation (OCCP) and Part-time work.

Employed, away from work

The 'employed away from work' category refers to people who responded that they had a job in the week before the Census, but were away from work on holidays, on paid leave, on strike, or temporarily stood down. It also includes those who stated that they worked in the previous week but did not provide the number of hours worked. Extra guidance was given in the online form for those who weren't working due to COVID-19 restrictions.

See also Labour force status (LFSP).

Employee

An employee is a person who works for a public or private employer and receives remuneration in wages or salary; or is paid a retainer fee by their employer, while working on a commission basis; or works for an employer for tips, piece-rates or payment in kind.

See also Public/private sector (GNGP), Hours worked (HRSP), Labour force status (LFSP), Occupation (OCCP) and Status in employment (SIEMP).

Enumeration

Enumeration is the action of counting something. The Census enumerates (or counts) everyone in Australia on Census Night, as well as all the dwellings. 

See also Place of enumeration.

Estimated Resident Population (ERP)

The Estimated Resident Population (ERP) is the official measure of the population of Australia, and is based on the concept of usual residence. It refers to all people, regardless of nationality, citizenship or legal status, who usually live in Australia, with the exception of foreign diplomatic personnel and their families. The ERP includes usual residents who are overseas for less than 12 months and excludes overseas visitors who are in Australia for less than 12 months.

More information on the ERP can be found in the ABS publication National state and territory population, produced quarterly. ERPs for SA2s, LGAs and selected non-ABS structures are published annually in Regional population. More information on demographic publications is available under Population on the ABS website.

See also Australian Statistical Geography Standard (ASGS), Census counts, Place of enumeration, Place of usual residence (PURP).

Ethnicity

A number of variables used in the 2021 Census may provide information about ethnic origin. These variables may be cross-classified by sex or other related variables.

See also Ancestry (ANCP), Country of birth of person (BPLP), Country of birth of parents (BPPP), Indigenous status (INGP), Language used at home (LANP), Proficiency in spoken English (ENGLP), Religious affiliation (RELP) and Year of arrival in Australia (YARP).

F

Family

A family is defined by the ABS as two or more people, one of whom is at least 15 years of age, who are related by blood, marriage (registered or de facto), adoption, step or fostering, and who are usually resident in the same household.

Each separately identified couple relationship, lone parent-child relationship or other blood relationship forms the basis of a family. Some households contain more than one family. Non-related people living in the same household are not counted as family members (unless under 15 years of age).

Other related individuals (brothers, sisters, aunts, uncles) may be present in the household. If more than one family is present these people can only be associated with the primary family.

Visiting families are not included as part of the household, and the relationships of other visitors are not coded. A household containing only a visiting family (e.g. a family at a holiday home) is coded to a household type of visitors only.

Where all people present are aged under 15 years, or where information for each person has been imputed, the household is deemed not classifiable to a family. Of people listed as temporarily absent, only spouse(s) and family children are used in coding family composition.

For further information on families and grandparent families, see Understanding Family composition and Grandparent families

Family variables: The basic family classification is Family composition (FMCF). When classifying families, information about temporarily absent family members is used. Other family variables available are:

  • Count of all children in family (CACF)
  • Count of children aged under 15 temporarily absent (CDCAF)
  • Count of dependent children in family (CDCF)
  • Count of dependent children under 15 (CDCUF)
  • Count of dependent students (15-24 years) (CDSF)
  • Count of dependent students (15-24 years) temporarily absent (CDSAF)
  • Count of non-dependent children in family (CNDCF)
  • Count of non-dependent children temporarily absent (CNDAF)
  • Count of persons in family (CPRF)
  • Count of persons temporarily absent from family (CPAF)
  • Family household composition (HCFMF)
  • Grandparent families (FMGF)
  • Labour force status of parents/partners in families (LFSF)
  • Location of spouse (SPLF)
  • Aboriginal and Torres Strait Islander family indicator (INGF)
  • Spouse/partner indicator (SPIP)
  • Same-sex couple indicator (SSCF)

See also Child, Family blending (FBLF), Family composition (FMCF), Family/household reference person indicator (RPIP) and Relationship in household (RLHP).

First generation Australians

First generation Australians are people living in Australia who were born overseas. 

See also Country of birth of person (BPLP) and Understanding migrant statistics in the Census and other data sources.

Foster child

The term 'foster child' generally refers to a child being raised by an unrelated family in the absence of any natural, adoptive or step parent(s).

In practice, a person is coded to foster child if the response 'foster' is given for that person, regardless of the individual's dependency status.

The variables Child type (CTPP) and Relationship in household (RLHP) have foster child categories.

See also Child and Relationship in household (RLHP).

G

Geography

The Census provides a range of data over different areas and geography levels. The Australian Statistical Geography Standard (ASGS) defines all the geographies used by the ABS for release of data. Each geography has its own name, boundaries, and purpose. 

For more information and definitions on the geographies used in the 2021 Census, see Understanding Census Geography.

See also Special purpose codes.

Government benefits, pensions and allowances

Government benefits, pensions and allowances are income support payments from government to persons under the social security and related government programs. Included are pensions and allowances received by aged, disabled, unemployed and sick persons, carers, families and children, veterans or their survivors, and study allowances for students. All overseas pensions and benefits are considered income if they are being received when the person completed the Census. Family tax benefit is also regarded as income.

The calculation of total income includes any pensions or benefits received.

See also Total personal income (weekly) (INCP).

Group household

The ABS defines a group household as a household consisting of two or more unrelated people where all people are aged 15 years and over. There are no reported couple relationships, parent-child relationships or other blood relationships in these households.

An unrelated child (e.g. boarder) under the age of 15 who lives in a household with one or more usual residents, is coded as forming a parent-child relationship within that household. These households become family households, not group households.

Group households are classified in the variable Household composition (HHCD), and individual members are classified in Relationship in household (RLHP).

See also Child, Family and Household.

H

Homelessness enumeration

Everyone in Australia at Census time needs to be counted in the Census, excluding foreign diplomats and their families, no matter where they may be sleeping on Census Night. To achieve this, the ABS has developed a strategy to obtain the best possible enumeration of people, no matter where they sleep. Some aspects of this strategy include liaising with service providers and engaging specialised field staff to count people sleeping rough on a special interview based form, and providing the ability for people to respond to the usual residence question as 'none' if they have no usual residence. 

See also Estimates of homelessness based on the 2021 Census, Dwelling structure (STRD), Improvised home, Special short form and Usual residence.

Hotdecking

The primary imputation method used for the Census is known as 'hotdecking'. Other imputation processes use probability methods. In general the hotdecking method involves locating a donor record and copying the relevant responses to the record requiring imputation. The donor record will have similar characteristics and must also have the required variable(s) stated. In addition the donor record will be located geographically as close as possible to the location of the record to be imputed. The match must occur within the same Capital City or Balance of State.

The methodology for imputation is tailored to two situations. Firstly, where no Census form has been returned and secondly where a partially completed form was returned.

No Census form returned - private dwelling: Where a private dwelling was identified as occupied on Census Night but a Census form was not returned, the number of males and females normally in the dwelling and their key demographic variables require imputation. In these cases, the non-demographic variables are set to 'Not stated' or 'Not applicable'.

For dwellings where the number of males and females is unknown, two imputation processes are performed. Initially, these records have their number of males and females imputed using hotdecking. Then a second imputation (also using hotdecking) is run to impute the key demographic variables for the newly created person records.

To hotdeck the number of males and females, the donor records must meet several conditions:

  • they must be occupied private dwellings where a form was returned and contain a maximum of 6 persons
  • they must have a similar Dwelling Structure (STRD) and Dwelling Location (DLOD) to the record to be imputed
  • they must be located geographically as close as possible to the location of the record to be imputed

The number of males and females are the only data copied from the donor record in the first hotdecking process.

In the next process, the records which have just had their number of males and females imputed, are subjected to the same hotdecking process as those records where the number of males and females had been ascertained.

This hotdecking process imputes the key demographic variables. Again the donor records must meet several conditions:

  • they must be records where everyone within the dwelling provided all their demographic characteristics
  • they must have similar Dwelling Structure (STRD) and Dwelling Location (DLOD)
  • they must have identical counts of males and females and
  • they must be located geographically as close as possible to the location of the record to be imputed.

The key demographic variables are then copied from the donor records to the records requiring imputation

No Census form returned - Non private dwelling: Where a person in a non-private dwelling did not return a form, their demographic characteristics are copied from another person in a similar non-private dwelling using Type of non-private dwelling (NPDD).

Census form returned: Where a form was returned, some or all of the demographic characteristics may require imputation. Characteristics are imputed using a combination of hotdecking and probability techniques.

See also Derivation and Imputation.

Household

A household is defined as one or more people, at least one of whom is at least 15 years of age, usually resident in the same private dwelling.

For Census purposes, the total number of households is equal to the total number of occupied private dwellings as a Census form is completed for each household from which dwelling information for the household is obtained.

See also Family, Group household, Household composition (HHCD), Indigenous household indicator (INGDWTD), Lone person household, Relationship between families (FRLF) and Tenure type (TEND).

Household form

The Census household form (online or paper) is the primary means for collecting Census data and is used in all private dwellings. The household form records details about the dwelling and characteristics of people in the dwelling. It records details of up to six people on the paper form and up to 25 people on the online form. Extra forms are used if there are more people than this.

To view a PDF version of the Census household form, see Sample copies of the 2021 Census paper forms.

See also Interviewer household formPersonal formSpecial short form and Form type (FTCP).

I

Improvised home

These include sheds, tents, humpies and other improvised dwellings, occupied on Census Night. This category also includes people sleeping rough, such as those sleeping on the streets, in abandoned buildings, under bridges or in cars.  

See also Homelessness enumeration and Dwelling structure (STRD).

Imputation

Imputation is a statistical process for predicting values where no response was provided to a question and a response could not be derived. In the Census, we impute key demographic variables (sex, age, marital status, and usual residence) where no Census form is returned or when a respondent does not respond to one of these questions.

Where a private dwelling is identified as occupied on Census Night but a Census form has not been returned, people are imputed into that dwelling - both the number of people and their key demographic characteristics.

If a person in a non-private dwelling did not return a form, their demographic characteristics are imputed from people in similar non-private dwellings.

Where a person responds to the Census but does not answer the age, sex, marital status or usual residence questions, values are imputed using other information on the form as well as the distribution of these data items in the responding population. 

Imputation flag variables enable users of Census data to quantify the number of imputed records, for applicable data items, in a given population.

For more information on imputation see the 2021 Census methodology.

See also Derivation, Non-response and Hotdecking.

Index of Household Advantage and Disadvantage (IHAD)

The Index of Household Advantage and Disadvantage (IHAD) was released in February 2025 and uses 2021 Census of Population and Housing (Census) data. IHAD provides a summary measure of relative socio-economic advantage and disadvantage for households, based on the characteristics of dwellings and the people living within them. It adds value to the Socio-Economic Indexes for Areas (SEIFA) by revealing the diversity of advantage and disadvantage within areas.

IHAD was first produced as an experimental index in 2018, based on 2016 Census data and funded by the ACT government. The updated 2021 IHAD is funded by the Australian Government Department of Education (AGDE).

Industry

An Industry refers to individual businesses carrying out similar productive activities that can be grouped together. Individual business entities are assigned to an industry based on the predominant activity identified on the Census form. Industry data is coded to the Australian and New Zealand Standards Industrial Classification (ANZSIC), 2006 (Revision 2.0). 

See also Australian and New Zealand Standards Industrial Classification (ANZSIC), and Industry of employment (INDP). 

Intelligent Character Recognition (ICR)

2021 Census data was processed using Intelligent Character Recognition (ICR) technology for the paper forms. Specialised computer software is used to interpret the handwriting on images taken of each page of the Census form. Once recognised, answers to Census questions were coded to the appropriate category of the relevant classification, for example Religion, Occupation, etc.

See also Data processing.

Internal migration

Internal migration is the movement of people across a specified boundary within Australia for the purpose of changing their place of usual residence. Information on internal migration within Australia is available from the Census.

The Census asks a series of questions relating to each person's usual address which can be used to identify the change of address of people for one year prior to the Census data, and for five years prior to the Census date. Data collected in the Census only reflect movements which coincide with these particular points in time in the intercensal period (i.e. one year ago and five years ago), even though there may have been multiple movements during this period.

Household mobility indicators are also derived using this information. Note that persons temporarily absent, visitors, and households containing only visitors, are excluded from these variables. 

See also Household one year mobility indicator (MV1D), Household five year mobility indicator (MV5D), Place of usual residence one year ago (PUR1P), Place of usual residence five years ago (PUR5P),  Usual address indicator Census night (UAICP), Usual address one year ago indicator (UAI1P), Usual address five years ago indicator (UAI5P), and Usual residence.

Interviewer household form

The Interviewer household form is used in Aboriginal and Torres Strait Islander communities (and areas where language differences or other factors make use of the standard self-enumeration forms impractical). The Interviewer household form is an interview based Census form which is used to record the details of up to 12 people in a household, and some dwelling data. If there are more than 12 people in a dwelling, additional Interviewer household forms are used.

To view a PDF version of the Interviewer household form, see Sample copies of the 2021 Census paper forms.

See also Form type (FTCP).

Introduced random error/perturbation

Under the Census and Statistics Act 1905 it is an offence to release any information collected under the Act that is likely to enable identification of any particular individual or organisation. To minimise the risk of identifying individuals in aggregate statistics, a technique has been developed to randomly adjust values. Random adjustment of the data, known as random error or perturbation, is considered to be the most satisfactory technique for avoiding the release of identifiable data while maximising the range of information that can be released. To learn more, see the 2021 Census methodology on Introduced random error/perturbation.  

See also Confidentiality.

J

Job

The Australian and New Zealand Standard Classification of Occupations (ANZSCO), Version 1.3 defines a job as a set of tasks performed by one individual. An occupation is a collection of jobs that are sufficiently similar in their main tasks to be grouped together for the classification.

See also Australian and New Zealand Standard Classification of Occupations (ANZSCO), Labour force status (LFSP) and Occupation (OCCP).

L

Labour force

For Census purposes, the labour force includes people aged 15 years and over who:

  • work for payment or profit, or as an unpaid helper in a family business, during the week prior to Census Night
  • have a job from which they are on leave or otherwise temporarily absent
  • are on strike or stood down temporarily
  •  do not have a job but are actively looking for work and available to start work.

The following people are classified as being in the labour force:

  • employed people (i.e. the first three groups above)
  • unemployed people (i.e. the last group above).

People aged 15 years and over who are neither employed nor unemployed are classified as not in the labour force. This includes people who are retired, pensioners and people engaged solely in home duties (unpaid).

See also and Comparing the 2021 Census and the Labour Force Survey Labour force status (LFSP).

Lockdown

On Census day and the week preceding it, a number of regions across the country were in various stages of lockdown or experiencing other restrictions due to the COVID-19 pandemic. This may have affected the way people responded to the Census form, particularly where there were changes to the person's employment circumstances. Examples of the changes seen in the data included how people travelled to their place of work; how many people worked from home; and a greater number of people being temporarily stood down in the week before the Census. Guidance on how to correctly respond to the relevant questions was provided at the time on the Census website and within the Census online form.

See also the data use consideration sections in the variables in Income and Work and Transport.

Information on how the Census was run during COVID-19 is here

Lone parent

A lone parent is a person who has no spouse or partner usually resident in the household, and who forms a parent-child relationship with at least one child usually resident in the household. The child may be either dependent or non-dependent.

See also Relationship in household (RLHP).

Lone person household

A private dwelling, with only one person aged 15 years or over, is classified as a lone person household.

See also Household composition (HHCD). 

Long-term health condition(s)

Long-term health conditions are diagnosed by a doctor or nurse, last six months or longer and include health conditions that:

  • May recur from time to time, or
  • Are controlled by medication, or
  • Are in remission

See also Comparing ABS long-term health conditions data sources, Long-term health conditions and Type of long-term health condition (LTHP).

M

Manufactured home estates

Manufactured home estates are land or estates developed specifically for manufactured homes, and on which manufactured homes are installed, or are to be installed.

A manufactured home is a self-contained dwelling that is built off-site and then transported to the estate for installation. This includes any associated structures that form part of the dwelling.

Within the development there must be reticulated water, sewerage, drainage and electricity connected to each lot. There must also be some form of community facilities and transport services available, and reasonable access to medical care, recreational facilities, etc.

This category of the variable Dwelling location (DLOD) specifically excludes all retirement villages.

See also Dwelling, Dwelling location (DLOD) and Dwelling type (DWTD).

Marital status

There are two variables that may be used to identify a person's marital status: Registered marital status (MSTP) and Social marital status (MDCP).

Registered marital status (MSTP) reports responses to the question 'What is the person's current marital status?' and refers to the legal status of the person, and not necessarily their current living arrangement.

Social marital status (MDCP) reports responses to two questions: 'What is the person's relationship to Person 1/Person 2?' and 'What is the person’s current marital status?'. This variable records a person's relationship status based on their current living arrangements. It identifies whether they form a couple relationship with another person living in the same usual residence, and the nature of that relationship.

See also Registered marital status (MSTP), Social marital status (MDCP) and Relationship in household (RLHP).

Median income

Median income is the level of income which divides the units in a group into two equal parts, one half having incomes above the median and the other half having incomes below the median. Medians have been estimated for each income range using data from the Survey of Income and Housing.

For information on how medians are used in the derivation of Total personal income (weekly) (INCP).

See also Household income derivation indicator (HIDD),Total family income (weekly) (FINF), Total household income (weekly) (HIND) and Total personal income (weekly) (INCP).

Mnemonics

Mnemonics are a shorthand method of describing Census variables when specifying output requirements. Each variable relates to either a dwelling (or household), family or person. The last character of the mnemonic (D, F or P) indicates the unit to which the classification relates. For example, AGEP is the mnemonic for the person level variable, Age. The default order of the variable index in this dictionary is alphabetic order by mnemonic.

Multiple family households

For the 2021 Census, a maximum of three families can be identified in one household. In cases where more than three families are identified in a household, the first three families are coded and other persons are classified as either related family members of the primary family or non-family members.

Relevant variables are Family composition (FMCF), Family number (FNOF) and Relationship between families (FRLF).

See also Family and Household.

N

Name

The collection of names and addresses in the Census is a critical part of ensuring the quality and value of the Census.

Names are collected in the Census for many reasons, including: 

  • Making it easier for the person completing the form to provide the right information for each person in the household
  • Enabling high quality data linking for important research for projects, such as enabling more accurate estimation of Aboriginal and Torres Strait Islander life expectancy: Indigenous Mortality Project
  • Enabling the Post Census Review (also known as the post enumeration survey) to assess the quality of Census data. The Post Census Review is a short survey run in the month after the Census to determine how many people were missed or counted more than once, and to independently assess completeness of the Census.

Following a consultation process and Privacy Impact Assessment the ABS made the decision to retain names for up to 18 months and addresses for up to 36 months. The names will be used to generate anonymised keys that can be used to combine existing data sets to create richer and more valuable statistics for Australians.

See also Confidentiality, Name and address retention and Census time capsule.

Name and address retention

After the Census has been conducted and forms have been processed, the ABS will separate names and addresses from other information on the Census form (e.g. age, sex, occupation, level of education or income). The names and addresses are then stored securely and separately from other Census data and no one is ever able to view your name or address with your other Census data. This practice is known as the Separation Principle

The ABS will retain names for up to 18 months and addresses for up to 36 months.

See also Address, Census time capsule, Confidentiality and Name.

Name of employer

For each employed person, their employer's business name and address is requested on the Census form. This information is used to assist in classifying the employed person's Industry of employment (INDP).

See also Australian and New Zealand Standard Industrial Classification (ANZSIC), Confidentiality, Industry of employment (INDP) and Industry.

Negative income

Negative income occurs when the operating expenses are higher than the gross receipts (or revenue) of a self-employed person, business or a rental property. A person has negative income if these losses are greater than any income, benefits or allowances received from other sources.

See also Total personal income (weekly) (INCP).

Nominal child

A nominal child is any individual under 15 years of age who does not have a parent usually resident in the household but is instead assigned to a nominal parent from among other household members. Such children may be related to the nominal parent (e.g. as a nephew or niece) or not be related at all. Allocation of a nominal parent to a nominal child is determined by the application of certain coding rules. For more information refer to the Family, household and income variables, 2014.

See also Child and Family composition (FMCF).

Non-binary sex

Non-binary sex was the third response category to the sex question in the 2021 Census. The inclusion of this third category was to allow respondents to participate in the Census when the male and female sex categories did not accurately describe their sex.

See also Non-binary sex in the 2021 Census and Analysis of non-binary sex responses.

Non-family member

A person for whom there is no identified couple relationship, parent-child relationship, or other blood relationship with any of the other usual residents of the household. They may live within a family household, or they may form a non-family household either as a lone person or a group household.

A non-family member is a person who is either:

  • a lone person
  • a group household member or
  • an unrelated individual living in a family household.

See also Dwelling, Household, Relationship in household (RLHP), Visitors to a household and Visitors to Australia.

Non-response

Non-response refers to the situation where a response to one or more questions (items) on the form was not answered.

Item non-response occurs:

  • where a household or person returns a form but does not answer one or more questions
  • where a household or person does not respond to the Census at all.

For the key demographic variables (sex, age, marital status and usual residence) we impute values where non-response occurs. The corresponding imputation flags for these variables indicate if the item was imputed.

Where non-responding persons have been imputed, the remaining questions are either set to 'item non-response' or 'not applicable', depending on the imputed age of the person.

For detailed information on non-response, see 2021 Census methodology.

See also Derivation and Imputation.

Not in the labour force

Persons not in the labour force are those people who, during the week prior to Census Night, were neither employed nor unemployed. They include people who were performing unpaid home duties, caring for children, retired, voluntarily inactive, permanently unable to work, in jail, trainee teachers, members of contemplative religious orders, and people whose only activity during the week prior to Census Night was jury service or unpaid voluntary work for a charitable organisation.

See also Labour force and Labour force status (LFSP).

O

One-parent family

A one-parent family consists of a lone parent with at least one child (regardless of age) who is also usually resident in the household and who has no identified partner or child of their own. The family may also include any number of other related individuals.

Examples of one parent families include: a 25-year-old parent with dependent children; and an 80-year-old living with a 50-year-old child.

Information on people who are temporarily absent is used in family coding to differentiate between lone person households and one parent families (if child was temporarily absent) or between one parent and couple families (if a spouse was temporarily absent).

See also Child, Family, Lone parent, Relationship in household (RLHP) and Temporarily absent.

Or equivalent level of education

The term "or equivalent" can include:

  • other terms used to describe years of schooling in Australia, which may have changed over time, as well as school level education undertaken at other institutions (e.g. TAFE)
  • Year 12 equivalents can include: year 13, 6th form, Higher School Certificate and matriculation
  • Year 10 equivalents can include: 4th form
  • overseas qualifications comparable to Australian levels of schooling, for example the German Abitur is equivalent to year 12 in Australia

The International Baccalaureate is equivalent to year 12 in Australia.

Certificate level qualifications (e.g. Certificate I-IV) attained while studying at school are non-school qualifications and are not equivalent to school level qualifications (e.g. Year 12).

For information about how school and non-school qualifications are treated when determining highest educational attainment, see Level of highest educational attainment (HEAP).

Other family

Other family is defined as a group of related individuals residing in the same household, who cannot be categorised as belonging to a couple or one parent family.

If two brothers, for example, are living together and neither is a spouse or partner, a lone parent or a child, then they are classified as an other family. However, if the two brothers share the household with the daughter of one of the brothers and her husband, then both brothers are classified as other related individuals and are attached to the couple family.

See also Couple family, Family, Family composition (FMCF), One-parent family and Other related individual.

Other related individual

An individual who is related to at least one other member of the household, but who does not form an identified couple relationship or parent-child relationship according to the priority rules of family coding. They can be related through blood, step or in-law relationship and include any direct ancestor or descendant. Relatives beyond first cousin are excluded.

Other related individuals are attached to an existing family nucleus formed by a couple relationship or parent-child relationship. If no such nucleus exists but individuals in a household are related to each other (see list below) they form an 'Other family' in the Family composition (FMCF) classification.

The Relationship in household (RLHP) variable is used to identify other related individuals. The following is a list of relationships used to define an other related individual:
son in-law, daughter in-law, grandmother, step grandmother, grandmother in-law, grandfather, step grandfather, grandfather in-law, granddaughter, step granddaughter, granddaughter in-law, grandson, step grandson, grandson in-law, sister, step sister, half-sister, sister in-law, brother, step brother, half brother, brother in-law, aunt, step aunt, aunt in-law, uncle, step uncle, uncle in-law, nephew, step nephew, nephew in-law, niece, step niece, niece in-law, cousin, step cousin, cousin in-law.

See also Family, Other family, Family composition (FMCF) and Relationship in household (RLHP).

Overcount

An overcount is when a person was counted more than once, or in error in the Census.

Some reasons why people may have been overcounted include:

  • they were included on the Census form at the dwelling where they usually live, even though they stayed and were counted elsewhere on Census Night
  • they have multiple usual residences
  • they moved during the Census period and completed forms at both their previous and new address
  • they were overseas on Census Night and were included on a Census form.

See also Undercount and/or underenumeration, 2021 Census overcount and undercount and Post Census Review (PCR).

Overseas born

For the 2021 Census, people are classified as overseas born if:

  • they were born in a country other than Australia
  • they were born at sea
  • their response was classified 'Inadequately described'
  • their response was classified 'Not elsewhere classified'.

Australia in this definition is as set out in section 2B of the Acts Interpretation Act 1901, and for the 2021 Census includes the states and territories and the other territories of Christmas Island, Cocos (Keeling) Islands, Jervis Bay Territory and Norfolk Island. It excludes the other Australian external territories (Australian Antarctic Territory, Heard and McDonald Islands, Ashmore and Cartier Islands and the Coral Sea Territory).

See also Country of birth of person (BPLP) and Understanding Migrant statistics in the Census and other data sources.

Owner managers

An owner manager is a person who works in their own business, with or without employees, whether or not the business is of limited liability.

See also Labour force status (LFSP), Status in employment (SIEMP) and Number of employees (EMPP).

P

Parent

A parent is a natural, adoptive, step, foster mother or father of a child, or a person who is assigned as a nominal parent. This person must be usually resident in the same household as the child.

See also Child, Family, Family composition (FMCF), Nominal child and Relationship in household (RLHP).

Parent-child relationship

The existence of a parent-child relationship is one of the foundations on which separate families and particular family composition categories are identified. It only refers to relationships between people usually resident in the same household. It includes relationships in which people actually report a parent-child relationship on the Census form (including being an adopted child or a foster child of an adult), as well as some designated relationships (i.e. for children aged less than 15 years who do not otherwise have a parent in the household, in which case a nominal parent/child relationship is established).

An individual may be both a parent and a child of other people in the household. For example, a person could live with their father or mother and have a child of their own. If a child in a household is also identified as being a parent, then precedence is given to the person's role as a parent for family composition coding purposes.

See also Child, Family, Family composition (FMCF), Number of children ever born (TISP) and Parent.

Partner

A person identified as being in a couple relationship with another person usually resident in the same household is a partner. The couple relationship is established through reporting of either a registered or de facto marriage and includes same-sex couples.

See also Marital status and Same-sex couple.

Part-time work

A person is considered to be working part-time if they worked less than 35 hours in all jobs during the week prior to Census night. This is consistent with the definition of employed part-time in the Labour Force, Australia publication.

See also Labour force status (LFSP) and Hours worked (HRSP).

Personal form

The Census personal form (online or paper) records details for one person only. It contains the same questions as the Census household form but excludes the questions related to the dwelling. It is used for people staying in a non-private dwelling such as a hotel, motel, hostel, or nursing home. It may also be used when a private dwelling requests an additional form (e.g. large households or if an individual wants to keep their responses private) and the household has already completed a household form.

To view a PDF version of the Census personal form, see Sample copies of the 2021 Census paper forms.

See also Household form and Form type (FTCP).

Place of enumeration

The place of enumeration is the place at which the person is counted on Census Night, which may not be where they usually live.

The population count for place of enumeration is a count of every person, who spends Census Night in Australia, based on where the person is counted. It includes people on board vessels in or between Australian ports, or on long-distance trains, buses, or aircraft. This count is also known as a de facto population count.

People entering Australia from overseas before midnight on Census Night are counted where they stayed on Census Night. Visitors to Australia are counted regardless of how long they have been in the country or how long they plan to stay. Australian residents in Antarctica are also within the scope of the Census.

People leaving an Australian port for an overseas destination before midnight on Census Night are not counted in the Census. Australian residents out of the country on Census Night, and overseas diplomatic personnel and their families in Australia are out of the scope of the Census.

This type of count provides a snapshot of the population in any given area. Although the Census is timed to attempt to capture the typical situation, holiday resort areas, such as the Gold Coast and snow fields, may show a large enumeration count compared with the usual residence count.

See also Comparing Place of enumeration with Place of usual residence and Place of usual residence (PURP).

Post Census Review (PCR)

Since the 1966 Census, each Census has been followed by a Post Census Review Survey (PCR), conducted by specially trained interviewers. This is also known as a Post Enumeration Survey (PES). A sample of over 40,000 private dwellings is collected in the survey from all states and territories.

The main purpose of the PCR is to measure the extent of undercount and overcount in the Census. This is achieved by asking respondents where they were on Census night, and whether they were or might have been included on a Census form. At each of these addresses, their personal information is matched to any corresponding Census forms for these addresses to determine whether a person was counted, was counted more than once, or was not counted at all.

Results obtained in the PCR are used to adjust Census counts in the calculation of Estimated Resident Population (ERP) figures for Australia. The results also provide an assessment of the coverage of the Census and are used to inform improvements for future censuses.

See also Estimated Resident Population (ERP) and Undercount and/or underenumeration.

Post Enumeration Survey (PES)

The Post Enumeration Survey (PES), also known as the Post Census Review Survey (PCR), is a measure of the extent of undercount and overcount in the Census.

For more information, see Post Census Review (PCR).

See also Estimated Resident Population (ERP) and Undercount and/or underenumeration.

R

Recodes and user defined fields

If the tables available in standard Census products do not meet a user's needs, then user defined customised tables can be created. Customised tables often require the use of recodes, tailored to the user's requirements. Recodes re-group fields in a classification. More complex user defined fields are new fields that can be created based on conditions applied to existing fields. User defined fields can be created from two or more fields in a database or can consist of mathematical functions.

A recode example:

Standard Labour force status classification
1 Employed, worked full-time
2 Employed, worked part-time
3 Employed, away from work
4 Unemployed, looking for full-time work
5 Unemployed, looking for part-time work
6 Not in the labour force
& Not stated
@ Not applicable
V Overseas visitor

Recoded Labour Force Classification

1 Employed
2 Unemployed
3 Not in the labour force
& Not stated

Explanation:
The recoded Labour Force Classification was recoded by:

  • Grouping all employed persons (codes 1, 2 and 3) to be one item called Employed
  • Grouping unemployed persons (codes 4 and 5) to be one item called Unemployed
  • Including Not in the labour force (code 6) and Not stated (code &) as single items
  • Excluding Not applicable and Overseas visitors from the recode.

This recode can now be used with other standard or recoded classifications.

A User Defined Field example:

  • Selecting Registered Nurse from the Occupation classification 
  • Creating a recode for age by grouping ages 25-40.

These two selections can be combined using a User Defined Field function and labelling this as 'Registered Nurses aged 25-40 years'. This could then be used in creating a variety of tables about this group.

Reference person/Person 1

A reference person is usually Person 1 on the Census form and forms the basis of a statistical family. Other household members are linked to the reference person to build the relationships within the household. Sometimes we need to allocate the reference person to a different household member to preserve the data quality of the relationship or family. 

The reference person must be:

  • at least 15 years of age
  • a usual resident of the household
  • at home on Census Night.

See also Understanding Family composition and Grandparent families.

Response rate

Dwellings, people, and item response rates are internationally recognised measures that indicate the quality of Census data. Response rates give an overall indication of the number of responses to the Census, while item response rates are an indicator of a response to specific questions. For more information on response rates and item response, please see Census form and Understanding data quality

The dwelling response rate measures the number of private dwellings that returned a completed Census form, as a proportion of all private dwellings believed to be occupied on Census Night. 

The person response rate measures how many people are included on a returned Census form as a proportion of all people (responding and non-responding) in Australia on Census Night.
 
See also 2021 Census methodology.

S

Same-sex couple

Two persons of the same sex who report a de facto or married partnership in the relationship question, and who are usually resident in the same household, are a same-sex couple.

See also Marital status, Relationship as reported for couples (RLCP) and Relationship in household (RLHP).

Second generation Australians

Second generation Australians are Australian-born people living in Australia, with at least one parent born overseas. 

See also Country of birth of person (BPLP), Country of birth of parents (BPPP), Understanding Migrant statistics in the Census and other data sources and Understanding and using Ancestry data.

Self-enumeration

Self-enumeration is the term used to describe the way Census data is collected. The Census forms are generally completed by householders (or individuals in non-private dwellings) rather than by interviewers, although interviewers are available in some areas.

Socio-Economic Index for Areas (SEIFA)

Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the Census.

SEIFA consists of four indexes: the Index of Relative Socio-economic Disadvantage (IRSD); the Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); the Index of Education and Occupation (IEO); the Index of Economic Resources (IER).

Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage.

An additional index, the Index of Household Advantage and Disadvantage (IHAD), was released in February 2025 using 2021 Census data. It provides a summary measure of relative socio-economic advantage and disadvantage for households, based on the characteristics of dwellings and the people living within them.

Special purpose codes

Special purpose codes allow address data to be coded to a non-spatial value. This occurs where there is insufficient information to code to a physical geographic area. For example, responses with no fixed address or instances of incomplete location information.

Special purpose codes have been created for each hierarchical level within the Australian Statistical Geography Standard (ASGS) Main Structure. These codes are not spatial. They do not have a region associated with them in the various ASGS digital boundary sets.

In the Main Structure, special purpose codes relate to States/Territories, SA4s, SA3s, SA2s and SA1s. They are also included in other ASGS areas such as Greater Capital City Statistical Area (GCCSA) and in Non-ABS structures.

For more information, refer to the Australian Statistical Geography Standard (ASGS).

Special short form

The Special short form is used in most areas of Australia to enumerate people who are sleeping rough. It is in paper format only and field staff use it to interview this population group. It records details for one person only and contains a small subset (10) of the same questions as the Census household form.

To view a PDF version of the Special Short form, see Sample copies of the 2021 Census paper forms.

See also, Homelessness enumerationHousehold form and Improvised home.

Step child

In a couple family, a step child is a child who is either the natural child of one partner but not of the other, or who was reported as being the step child of both parents. As a consequence of relationship breakdown or the death of a spouse, some one parent families may also have children reported as step children.

In practice, a person is considered a step child if the response 'step' is given for that person, regardless of the individual's dependency status.

See also Child, Child type (CTPP) and Relationship in household (RLHP).

Supplementary codes

Most variables in the Census Dictionary have supplementary codes and categories. We use supplementary codes to code responses that do not fit into the main categories.

They include:

  • Not stated
  • Not applicable
  • Overseas visitor
  • Inadequately described
  • So described
  • Not further defined (nfd)
  • Not elsewhere classified (nec)

For further explanation of the supplementary codes, see Understanding supplementary codes in Census variables.

T

Temporarily absent

The Census form seeks information about people who usually reside in a dwelling but who are temporarily absent on Census Night. Coders use the following temporary absentees in determining household and family classifications:

  • partners
  • children
  • co-tenants or unrelated flatmates (used to classify group households).

The only information gathered on temporarily absent persons are name, sex, age, Aboriginal and/or Torres Strait Islander origin, person's relationship in household and whether the person is a full-time student. This information is used to assist in family coding. All other information for persons temporarily absent and in Australia on Census Night, should have been obtained at their place of enumeration. However, this information is not able to be related back to this dwelling.

See also Child, HouseholdPartner and Persons temporarily absent.

Third-plus generation Australians

Third-plus generation Australians are Australian-born people whose parents were both born in Australia. One or more of their grandparents may have been born overseas or they may have several generations of ancestors born in Australia. 

See also Country of birth of person (BPLP), Country of birth of parents (BPPP), Understanding Migrant statistics in the Census and other data sources and Understanding and using Ancestry data.

U

Undercount and/or underenumeration

Although extensive efforts are made to contact all occupied dwellings and count all unoccupied private dwellings in the Census, locating and contacting them all is not possible. Some dwellings may not be identified. For example, flats above or behind shops or attached to private dwellings may not be included in the Census. Analysis of the undercount in previous censuses has shown that people away from their usual residence on Census Night (for example, travelling, camping, staying in a non-private dwelling, or visiting friends) are more likely to be missed than people at home on Census Night.

Even when a household is contacted, undercount is possible if not all members of the household can be included on the form (six people can be recorded on the paper form and 25 on the online form), and no extra online or paper forms are obtained. Undercount is also possible if the household, or a member of the household, fails to complete a Census form.

A measure of the extent of underenumeration is obtained from the Post Census Review (PCR) (also known as the Post Enumeration Survey (PES)). The official population estimates produced by the ABS take into account the results of the PCR. However, the Census counts are not adjusted.

See also 2021 Census overcount and undercountEstimated Resident Population (ERP) and Post Census Review (PCR).

Unemployed

Unemployed persons are defined as all those of working age who:

  • were not in employment
  • carried out activities to seek employment during a specified recent period
  • were currently available to take up employment given a job opportunity.

Unit record file

The unit record file (URF) is a sequence of records held on computer files. It holds coded data for all the person, family and dwelling characteristics in each Statistical area level 1 (SA1) as collected in the Census. It is the original source of all Census products. It excludes records for persons listed as temporarily absent, as their details will have been recorded at their place of enumeration on Census Night (if they were not overseas).

Census data are stored in a hierarchy of records for each dwelling. Each dwelling may contain a number of family records. Each of these, in turn, may contain a number of person records. When using household or family data it is necessary to recognise these three levels and understand the concepts at each level.

The three levels are indicated by the last character in the mnemonic for each variable. Dwelling level variables are indicated by D, family level by F, and person level by P.

The URF is held under strict security and is only accessible by certain ABS officers.

See also Data processing and Mnemonics.

Unrelated individual living in a family household

A person who lives in a family household, but who is not related to any person in any of the families in the household.

See also Relationship in household (RLHP).

Usual residence

Usual residence data provides information on the usually resident population of an area, and on the internal migration patterns at the state and regional levels. The 2021 Census has three questions on usual residence that ask where the person usually lives on Census Night, and where the person usually lived one year ago and five years ago. Usual address information is used to code usual residence. Population measures based on place of usual residence are also referred to as the de jure population.

See also Comparing Place of enumeration with Place of Usual Residence, Place of usual residence (PURP), Usual address indicator Census night (UAICP), Temporarily absent and Visitors to a household.

V

Visitors to a household

A visitor to a household is anyone who does not usually live in the household in which they were enumerated on Census Night. Characteristics of individual visitors to a household are available at the household of enumeration.

The relationship of visitors to one another, or to any resident (including cases where all the people enumerated are visitors) is not further classified.

Households containing only visitors are excluded from family variables, and the internal migration variables.

See also Family, Household, Internal migration, Place of enumeration and Usual residence.

Visitors to Australia

The question on the Census form, 'Where does the person usually live?' allows the identification of people who are usually resident in another country. These overseas visitors are identified as a separate category (coded as V) for all applicable variables.

For the 2006, 2011, 2016 and 2021 censuses, overseas visitors were those people who indicated they would be usually resident in Australia for less than a year.

Since the 1996 Census, overseas visitors have been separately categorised in standard tabulations, with the exception of Age (AGEP), Sex (SEXP) and Registered marital status (MSTP) tabulations.

Overseas visitors can be identified for AGEP, SEXP, and MSTP by cross-classifying with a variable which contains a separate overseas visitor category.

See also Place of enumeration and Place of usual residence (PURP).

W

Working population

The working population consists of all people who were employed in the week prior to Census night.

See also Labour force status (LFSP).

Downloads

2021 Census paper forms (available as PDF files) 

2021 Census sample paper forms can be downloaded as PDF files.

To download, see Sample copies of the 2021 Census paper forms.

These forms include:

  • 2021 Census Household form
  • 2021 Census Personal form
  • 2021 Census Interviewer household form
  • 2021 Census Special short form

2021 Census household paper form (available as Excel file)

Download of the 2021 Census household paper form as an Excel spreadsheet.