ABS Economy and industry by 2021 LGA Nov 2023

This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the 22 November 2023 release of Data by region (DBR) . Individual data items present the latest reference year data available on DBR. This layer presents data by Statistical Areas Level 2 (SA2), 2021. The Economy and industry theme is based on groupings of data within Data by region (DBR). Concepts, sources and methods for each dataset can be found on the Data by region methodology page. The Economy and industry theme includes: Number of businesses Counts of Australian businesses, including entries and exits Building approvals Residential property prices Agricultural commodities Gross value of agricultural production Registered motor vehicles Industry of employment (Census) Estimated dwelling stock When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope, and coverage can differ across collections. Some data values have been randomly adjusted or suppressed to avoid the release of confidential data. In some cases small cells have been randomly altered to zero. Care should be taken when interpreting cells with small numbers or zeros. Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. 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. Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy. Data and geography references Source data publication: Data by region (DBR) Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-23 Source: Australian Bureau of Statistics (ABS)

This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the 22 November 2023 release of Data by region (DBR) . Individual data items present the latest reference year data available on DBR. This layer presents data by Statistical Areas Level 2 (SA2), 2021. The Population and people theme is based on groupings of data within Data by region (DBR). Concepts, sources and methods for each dataset can be found on the Data by region methodology page. The Population and people theme includes: Estimated resident population (including age by sex) Births and deaths Internal and overseas migration Census data When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope, and coverage can differ across collections. Some data values have been randomly adjusted or suppressed to avoid the release of confidential data. In some cases small cells have been randomly altered to zero. Care should be taken when interpreting cells with small numbers or zeros. Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. 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. Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy. Data and geography references Source data publication: Data by region (DBR) Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-23 Source: Australian Bureau of Statistics (ABS)

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Australia LocalGovernmentArea Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Australian Bureau of Statistics based on Australian Bureau of Statistics (ABS) vintage 2019. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Postcodes1 State Postcodes2 StatisticalAreasLevel4 StatisticalAreasLevel3 StatisticalAreasLevel2 Postcodes4 StatisticalAreasLevel1

This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2022 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2025. Please cite the Census Bureau and CBP when using this data. Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov for details on these withheld records.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Australia Statistical Areas Level3 Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Australian Bureau of Statistics. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Postcodes1 State Postcodes2 StatisticalAreasLevel4 LocalGovernmentArea StatisticalAreasLevel2 Postcodes4 StatisticalAreasLevel1

Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 1-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2023. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.