The Australian Census Longitudinal Dataset (ACLD) brings together a 5% sample from the 2006 Census with records from the 2011 Census to create a research tool for exploring how Australian society is changing over time. In taking a longitudinal view of Australians, the ACLD may uncover new insights into the dynamics and transitions that drive social and economic change over time, conveying how these vary for diverse population groups and geographies. It is envisaged that the 2016 and successive Censuses will be added in the future, as well as administrative data sets. The ACLD is released in ABS TableBuilder and as a microdata product in the ABS Data Laboratory. \r \r The Census of Population and Housing is conducted every five years and aims to measure accurately the number of people and dwellings in Australia on Census Night. \r \r Microdata products are the most detailed information available from a Census or survey and are generally the responses to individual questions on the questionnaire. They also include derived data from answers to two or more questions and are released with the approval of the Australian Statistician.\r The following microdata products are available for this longitudinal dataset: \r •ACLD in TableBuilder - an online tool for creating tables and graphs. \r •ACLD in ABS Data Laboratory (ABSDL) - for in-depth analysis using a range of statistical software packages.\r \r

ABS TableBuilder outputsAustralian Bureau of Statistics (2021) MB/SA1/SA2 by Household Family Composition (HCFMD) [Census TableBuilder], accessed 1 July 2023.

Contains demographic profile information for workers from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on work location. This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

This data set contains the Australian Bureau of Statistics population data for Australian states and territories. Population data was collected as part of national census’ in 1991, 1996, 2001, 2006 and 2011. Data presented is the total population for all collection districts by place of enumeration. District Boundaries differed for each census and therefore were re-projected onto the 2011 population mesh blocks to standardise the spatial extent of the reporting areas. Given the focus of this project, population data was clipped by a 50km coastal buffer.

Note: population data for census’ 1991 – 1996 - 2001 was purchased by NESP and is made publically available through by NESP

Note: population data for 2006 and 2011 was downloaded through the ABS webportal. http://www.abs.gov.au/websitedbs/censushome.nsf/home/tablebuilder?opendocument&navpos=240

Note. 2006 Census district boundaries were downloaded from the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2919.0.55.001Main+Features1Aug%202006?OpenDocument and 2011 population mesh blocks http://www.abs.gov.au/ausstats/abs@.nsf/mf/1270.0.55.001

This data contains geographical information in shape files that represent the population density in Australia, from 1991 to 2011. The data contains the summary polygon, state_code, cd_code19, 91_pop_dat (population count), area and density (in persons per km^2). For other data sets the count will be 96_pop_dat, 2001_pop_dat, 2006_pop_dat and 2011_pop_dat.

Dataset provides the population of Local Government Area's as recorded for the 2006, 2011, 2016 and 2021 Census years. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset. This dataset combines the raw population data provided by the Australian Bureau of Statistics within ABS Tablebuilder for the "Persons - Place of Usual Residence" for the four Census periods and provides a calculation of the Annual Average Growth Rate and Compound Average Growth Rate for the specified periods.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated by older people (aged 60 years and over), as well as the remaining population (aged under 60 years).

This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated by younger people (aged 15-24 years), as well as the remaining population (aged 0-14 years & aged 25 years and over).



This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

This dataset presents the employment rate of the population in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM). This indicator is the number and proportion of people employed. The rate is calculated as the number employed divided by the total number in that Age/Sex group (excluding Not Stated). Note that the denominator for the total employment rate is total population aged 15-64. All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying. For more information please view the NATSEM Technical Report.

Dataset examines the population that have core activity need for assistance within Local Government Area's as recorded for the 2006, 2011, 2016 and 2021 Census years. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on the top 12 countries of birth for residents. This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on the top 12 countries of birth for …Show full descriptionContains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on the top 12 countries of birth for residents. This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

The workforce dataset contains monthly workforce sizes from July 2005 to June 2018 in the eight Australian capital cities with estimated stratification by indoor and outdoor workers. It is included in both csv and rda format. It includes variables for:

Year Month GCCSA (Greater Capital City Statistical Area, which is used to define capital cities) Date (using the first day of the month) fulltime: Fulltime workers parttime: Parttime workers n. Overall workers outorin. Estimated indoor or outdoor status

This data are derived from the Australian Bureau of Statistics (ABS) Labour Force, Australia, Detailed, LM1 dataset: LM1 - Labour force status by age, greater capital city and rest of state (ASGS), marital status and sex, February 1978 onwards (pivot table). Occupational data from the 2006, 2011 and 2016 Census of Population and Housing (ABS Census TableBuilder Basic data) were used to stratify this dataset into indoor and outdoor classifications as per the "Indooroutdoor classification.xlsx" file. For the Census data, GCCSA for the place of work was used, not the place of usual residence.

Occupations were defined by the Australian and New Zealand Standard Classification of Occupations (ANZSCO). Each 6-digit ANZSCO occupation (the lowest level classification) was manually cross-matched with their corresponding occupation(s) from the Canadian National Occupation System (NOC). ANZSCO and NOC share a similar structure, because they are both derived from the International Standard Classification of Occupations. NOC occupations listed with an “L3 location” (include main duties with outdoor work for at least part of the working day) were classified as outdoors, including occupations with multiple locations. Occupations without a listing of "L3 location" were classified as indoors (no outdoor work). 6-digit ANZSCO occupations were then aggregated to 4-digit unit groups to match the ABS Census TableBuilder Basic data. These data were further aggregated into indoor and outdoor workers. The 4-digit ANZSCO unit groups’ indoor and outdoor classifications are listed in "Indooroutdoor classification.xlsx."

ANZSCO occupations associated with both indoor and outdoor listings were classified based on the more common listing, with indoors being selected in the event of a tie. The cross-matching of ANZSCO and NOC occupation was checked against two previous cross-matches used in published Australian studies utilising older ANZSCO and NOC versions. One of these cross-matches, the original cross-match, was validated with a strong correlation between ANZSCO and NOC for outdoor work (Smith, Peter M. Comparing Imputed Occupational Exposure Classifications With Self-reported Occupational Hazards Among Australian Workers. 2013).

To stratify the ABS Labour Force detailed data by indoors or outdoors, workers from the ABS Census 2006, 2011 and 2016 data were first classified as indoors or outdoors. To extend the indoor and outdoor classification proportions from 2005 to 2018, the population counts were (1) stratified by workplace GCCSA (standardised to the 2016 metrics), (2) logit-transformed and then interpolated using cubic splines and extrapolated linearly for each month, and (3) back-transformed to the normal population scale. For the 2006 Census, workplace location was reported by Statistical Local Area and then converted to GCCSA. This interpolation method was also used to estimate the 1-monthly worker count for Darwin relative to the rest of Northern Territory (ABS worker 1-monthly counts are reported only for Northern Territory collectively).

ABS data are owned by the Commonwealth Government under a CC BY 4.0 license. The attached datasets are derived and aggregated from ABS data.

Dataset identifies the language used at home of persons as recorded by the 2006, 2011, 2016 and 2021 Census years. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated by families with children aged 0-12 years (as well as 0-5 years, 6-8 years and 9-12 years).



This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

Custom dataset compiled using Australian Bureau of Statistics TableBuilder to extract 2021 Australian Census data: SEXP Sex by POA (UR) by AGE5P Age in Five Year Groups and YARRP Year of Arrival in Australia (ranges). Findings based on use of ABS TableBuilder data. Analysis and compilation by Phillip Keen, The Kirby Institute, UNSW Sydney.

Dataset provides a count of the number of persons with long term health problems by age cohort (and those without) for the 2021 Census year. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset.

Percentage of households that stay in rented homes and accommodations, calculated at the Statistical Area level 2 (SA2) level for 2016 census with data sourced from ABS TableBuilder. Total number of rental households is the aggregate of two categories: 'Rented' and 'Being occupied rent-free' and the rental households percentage is calculated for the total number of occupied private dwellings with known tenure type.

This dataset, released July 2018, contains the community strength of areas based on Voluntary work for an organisation or group - people aged 15 years and over, 2016; Estimated number of people aged 18 years and over who did unpaid voluntary work in the last 12 months through an organisation (modelled estimates), 2014; Estimated number of people aged 18 years and over who are able to get support in times of crisis from people outside the household (modelled estimates), 2014; Estimated number of people aged 18 years and over (or their partner) who provide support to other relatives living outside the household (modelled estimates), 2014; Estimated number of people aged 18 years and over who disagree/strongly disagree with acceptance of other cultures (modelled estimates), 2014; Estimated number of people aged 18 years and over who, in the past 12 months, felt that they had experienced discrimination or have been treated unfairly by others (modelled estimates), 2014. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS from the 2014 General Social Survey; estimates at the LGA and PHN level were derived from the PHA estimates; Estimates for Quintiles and Remoteness Areas were compiled by PHIDU based on direct estimates from the 2014 General Social Survey, ABS Survey TableBuilder. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on residents living in buildings with four or more storeys.

This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

This layer provides some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2016 census. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and State Suburb (SSC) boundaries.The General Community Profile is new for the 2016 Census. It replaces the 2011 Basic and Expanded Community Profiles and has been created by merging components of both these profiles. It contains a series of tables showing the characteristics of persons, families and dwellings in a selected geographic area. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night). Community Profiles are excellent tools for researching, planning and analysing geographic areas for a number of social, economic and demographic characteristics.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2016 DataPacks samples, view the Community Profile, DataPack and TableBuilder Templates publication (cat no. 2079.0)Glossary terms and definitions of classifications can be found in the 2016 Census DictionaryMore information about Census data products is available in the QuickStats, Community Profiles and DataPacks user guide, Australia (Cat no. 2916.0)DataPacks and Geopackages for Western Australia State Electoral Divisions (WA SEDs) may not be correct and should not be used as per Corrections to 2016 Data. Data for these boundaries can be obtained using QuickStats or Census TableBuilder using a geographic recode and following these instructions on working with custom groups. Detailed geography information: Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016: 2016 Statistical Area Level 1 (SA1), 2016 Statistical Area Level 2 (SA2), 2016 Greater Capital City Statistical Areas (GCCSA), 2016 State and Territory (STE), 2016 Australia (AUS)Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2016: 2016 State Suburb (SSC), 2016 Local Government Areas (LGA)Source: Australian Bureau of Statistics