Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Statistical Area Level 4 (SA4s) are geographic areas built from whole Statistical Area Level 3 (SA3s). Most SA4s have a population of over 100,000 people. SA4s are the largest sub-state regions in the Main Structure of the ASGS and are designed for the output of a variety of regional data, including data from the 2016 Census of Population and Housing. SA4 boundaries represent labour markets and the functional area of Australian capital cities respectively. They are designed with an emphasis on stability over time to support the time series of statistical releases such as the Quarterly Labour Force publication. These areas represent labour markets or groups of labour markets within each state and territory.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Statistical Area Level 4Further information: Australian Statistical Geography Standard (ASGS) Edition 2 - Main Structure and Greater Capital City Statistical AreasSource: Australian Bureau of Statistics (ABS)Made possible by the Digital Atlas of AustraliaThe Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.Contact the Australian Bureau of StatisticsEmail geography@abs.gov.au if you have any questions or feedback about this web service.Subscribe to get updates on ABS web services and geospatial products.Privacy at the Australian Bureau of StatisticsRead how the ABS manages personal information - ABS privacy policy.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
This dataset is the Statistical Area Level 4 (SA4) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016. For the original data and more information, refer to the Australian Bureau of Statistics' Issue. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data. The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
This dataset is the Statistical Area Level 4 (SA4) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011. For the original data and more information, refer to the Australian Bureau of Statistics' Issue. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data. The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
Modified Monash Model (MMM)\r \r The Modified Monash Model (MMM) is a classification system used to define the remoteness of Australian locations, ranging from MM 1 (major cities) to MM 7 (very remote areas). It combines population size and geographic remoteness to guide health workforce planning, especially in rural and remote communities. MMM is based on the Australian Statistical Geography Standard – Remoteness Areas (ASGS-RA) and is updated after each national Census conducted by the ABS.\r \r Statistical Area Level 4 (SA4)\r \r SA4s are the largest sub-state regions used in the Australian Statistical Geography Standard (ASGS), built from SA3s. They are designed to reflect labour markets and the functional areas of capital cities, supporting the release of regional data such as the Quarterly Labour Force Survey. There are 108 SA4s across Australia, including special codes for mobile or unlocated populations. SA4s aggregate to form Greater Capital City Statistical Areas and States/Territories.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data set contains Statistical Area Level 4 (SA4) information on all NSW Government schools, including schools that have received a status of ‘Not operational’ since 2010.
Data Notes:
Data source: Education Statistics and Measurement, Centre for Education Statistics and Evaluation.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Labour force status by Labour market region (ASGS) and Sex, as described by the Australian Bureau of Statistics.https://www.abs.gov.au/statistics/labour/employment-and-unemployment/labour-force-australia-detailed/latest-release#labour-market-regions-sa4-
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on economy and industry available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of economy and industry: Business Entries and Exists, Buildings Approvals, Residential Property Prices, Mean Household Net Worth, Patent and Trademark Applications, Insolvencies, Motor Vehicle Census, Tourist Accommodation Establishments, Agricultural Commodities, Gross Value of Agricultural Production and Industry of Employment.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:
Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.
Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.
Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.
Columns and rows that did not contain any values in the original data have been removed.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on land and environment available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of land and environment: Land Area, Protected Land Areas and Solar Installations. Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes. AURIN has made the following changes to the original data: Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset. Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details. Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null. Columns and rows that did not contain any values in the original data have been removed.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Index of Household Advantage and Disadvantage (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, using 2021 Census data.
All in-scope households are ordered from lowest to highest score. A low score indicates relatively greater disadvantage and a lack of advantage in general. A high score indicates a relative lack of disadvantage and greater advantage in general.
This dataset presents IHAD data in quartiles. The lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of households as it depends on the distribution of the IHAD scores. The data is grouped by Statistical Area Level 4 (SA4 2021). SA4s are defined by the Australian Statistical Geography Standard (ASGS) Edition 3.
Key Attributes:
Field alias
Field name
Description
Statistical Areas Level 4 2021 code
SA4_CODE_2021
2021 Statistical Areas Level 4 (SA4) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. SA4s are designed for the output of a variety of regional data, and represent labour markets and the functional area of Australian capital cities.
Statistical Areas Level 4 2021 name
SA4_NAME_2021
2021 Statistical Areas Level 4 (SA4) names from the Australian Statistical Geography Standard (ASGS), Edition 3. SA4s are designed for the output of a variety of regional data, and represent labour markets and the functional area of Australian capital cities.
Area in square kilometres
AREA_ALBERS_SQKM
The area of a region in square kilometres, based on the Albers equal area conic projection.
IHAD quartile 1
IHAD_QUARTILE1
Proportion of in-scope dwellings in the SA4 that fall into IHAD quartile 1, indicating relatively greater disadvantage and lack of advantage in general.
IHAD quartile 2
IHAD_QUARTILE2
Proportion of in-scope dwellings in the SA4 that fall into IHAD quartile 2.
IHAD quartile 3
IHAD_QUARTILE3
Proportion of in-scope dwellings in the SA4 that fall into IHAD quartile 3.
IHAD quartile 4
IHAD_QUARTILE4
Proportion of in-scope dwellings in the SA4 that fall into IHAD quartile 4, indicating a relative lack of disadvantage and greater advantage in general.
Occupied private dwellings
OPD_2021
Dwellings in-scope of the IHAD i.e. classifiable occupied private dwellings.
SEIFA IRSAD quartile
IRSAD_QUARTILE
Index of Relative Socio-economic Advantage and Disadvantage quartile. All SA4s are ordered from lowest to highest score, the lowest 25% of SA4s are given a quartile number of 1, the next lowest 25% of SA4s are given a quartile number of 2 and so on, up to the highest 25% of SA4s which are given a quartile number of 4. This means that SA4s are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of SA4s as it depends on the distribution of SEIFA scores.
Usual resident population
URP_2021
Population counts in this column are based on place of usual residence as reported on Census Night. These include persons out of scope of the IHAD.
Dwellings
DWELLING
Total dwellings at Census time, including dwellings out of scope of the IHAD e.g. unoccupied private dwellings.
Data and geography references
Source data publication: Index of Household Advantage and Disadvantage Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Index of Household Advantage and Disadvantage methodology Source: Australian Bureau of Statistics (ABS)
Contact the Australian Bureau of Statistics
Email geography@abs.gov.au if you have any questions or feedback about this web service.
Subscribe to get updates on ABS web services and geospatial products.
Privacy at the Australian Bureau of Statistics Read how the ABS manages personal information - ABS privacy policy.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
This dataset is the Statistical Area Level 4 (SA4) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011.
For the original data and more information, refer to the Australian Bureau of Statistics' Issue.
The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.
The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on education and employment available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of education and employment: Early Childhood - Enrolment and Attendance in Preschool Programs, Non-School Qualifications, Higher Education Loan Program (HELP) Repayments, Highest Year of School Completed, Occupation of Employed Persons, Youth Engagement in Work or Study, Jobs in Australia and Labour Force.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:
Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.
Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.
Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.
Columns and rows that did not contain any values in the original data have been removed.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA4 based data for Highest Year of School Completed by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. P16 is broken up into 2 sections (P16a - P16b), this section contains 'Males Year 12 or equivalent Age 15-19 years' - 'Persons Year 9 or equivalent Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA4 based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Employee 15-19 years Number of hours worked None' - 'Owner managers of incorporated enterprises 40-44 years Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on the labour force categorised by age and sex, available from the Australian Bureau of Statistics (ABS) Labour Force statistics. This dataset is based on Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS), and covers data for individual months between October 1998 and June 2020. Labour Force statistics are compiled from the Labour Force Survey which is conducted each month throughout Australia as part of the ABS household survey program. The Labour Force Survey provides monthly information about the labour market activity of Australia's resident civilian population aged 15 years and over. The Labour Force Survey is designed to primarily provide estimates of employment and unemployment for the whole of Australia and, secondarily, for each state and territory. This data is ABS data (catalogue number: 6291.0.55.001) used with permission from the Australian Bureau of Statistics. For more information please visit the Australian Bureau of Statistics. Notes: AURIN has restructured and spatially enabled the original data using the 2011 SA4 Boundaries.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on health and disability available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of health and disability: Disability Estimates and Private Health. Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes. AURIN has made the following changes to the original data: Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset. Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details. Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null. Columns and rows that did not contain any values in the original data have been removed.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
This dataset contains National Regional Profile (NRP) data on Energy and Environment at SA4 level for 2010-2014. The data uses 2011 ABS ASGS boundaries. The NRP is designed for users interested in the socio-economic and environmental characteristics of regions - and in comparisons with similar geographies across Australia. Data are arranged under the broad themes/topics of Economy, Industry, People, and Energy and Environment. Please note some data are not available for all reference years, for a variety of reasons. For example; there may be conceptual breaks in a data series; the collection frequency may be irregular; some series may have revisions pending; or permission to publish in the NRP may have only been granted recently. In addition, some data series are not available for the full range of geographies. The reasons can include: data owner or custodian preferences; industry identification with a few, particular geographies only; confidentiality protection; and the presence of many suppressed data cells (at smaller geographic levels) thus making true aggregations up to larger ASGS regions difficult. This data is ABS data used with permission from the Australian Bureau of Statistics. Please note National Regional Profile (1379.0.55.001) has been discontinued. For the most recent regional data, please see Data By Region (1410.0). For more information please visit the Australian Bureau of Statistics.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on the summary statistics of employment and population for the Statistical Area Level 4 (SA4) regions as of December 2021. The boundaries for this dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS).
The Australian Department of Education, Skills and Employment publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.
AURIN has spatially enabled the original data. Data Source: ABS Labour Force Survey. All statistics are 12-month averages of original data, December 2021. The ABS advises that analysis of regional labour force estimates should typically be based on annual averages, which are important for understanding the state of the labour market and providing medium and long-term signals. The application of annual averages, however, is unlikely to accurately or quickly detect turning points in the regional data during periods of significant change (such as during the onset of the COVID-19 pandemic). Original data at the ABS Statistical Area 4 (SA4) level can be found in Table 16. The region named "Western Australia - Outback (North and South)" in the original data has been omitted as it did not match a region within the SA4 2016 ASGS.
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA4 based data for Industry of Employment by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W09 is broken up into 2 sections (W09a - W09b), this section contains 'Agriculture forestry and fishing Agriculture forestry and fishing Not further defined Males' - 'Transport postal and warehousing Other transport Females'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
Facebook
TwitterThis dataset presents data on unemployed persons by duration of job search, available from the Australian Bureau of Statistics (ABS) Labour Force statistics. This dataset is based on Statistical …Show full descriptionThis dataset presents data on unemployed persons by duration of job search, available from the Australian Bureau of Statistics (ABS) Labour Force statistics. This dataset is based on Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS) boundaries, and covers data for individual months between October 1998 and June 2020. Labour Force statistics are compiled from the Labour Force Survey which is conducted each month throughout Australia as part of the ABS household survey program. The Labour Force Survey provides monthly information about the labour market activity of Australia's resident civilian population aged 15 years and over. The Labour Force Survey is designed to primarily provide estimates of employment and unemployment for the whole of Australia and, secondarily, for each state and territory. This data is ABS data (catalogue number: 6291.0.55.001) used with permission from the Australian Bureau of Statistics. For more information please visit the Australian Bureau of Statistics. Please Note: The original dataset includes data between July 1991 and October 1998, however these records are not aggregated by SA4, and therefore have been omitted from this dataset. AURIN has restructured and spatially enabled the original data using the 2011 SA4 Boundaries. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2020): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA4 based data for Industry of Employment by Occupation, for 2011 Census. Count of employed persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Statistical Area Level 4 (SA4s) are geographic areas built from whole Statistical Area Level 3 (SA3s). Most SA4s have a population of over 100,000 people. SA4s are the largest sub-state regions in the Main Structure of the ASGS and are designed for the output of a variety of regional data, including data from the 2016 Census of Population and Housing. SA4 boundaries represent labour markets and the functional area of Australian capital cities respectively. They are designed with an emphasis on stability over time to support the time series of statistical releases such as the Quarterly Labour Force publication. These areas represent labour markets or groups of labour markets within each state and territory.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Statistical Area Level 4Further information: Australian Statistical Geography Standard (ASGS) Edition 2 - Main Structure and Greater Capital City Statistical AreasSource: Australian Bureau of Statistics (ABS)Made possible by the Digital Atlas of AustraliaThe Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.Contact the Australian Bureau of StatisticsEmail geography@abs.gov.au if you have any questions or feedback about this web service.Subscribe to get updates on ABS web services and geospatial products.Privacy at the Australian Bureau of StatisticsRead how the ABS manages personal information - ABS privacy policy.