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

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.

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.

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. The following microdata products are available for this longitudinal dataset: •ACLD in TableBuilder - an online tool for creating tables and graphs. •ACLD in ABS Data Laboratory (ABSDL) - for in-depth analysis using a range of statistical software packages.

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 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

Local Government Areas (LGA)

Local Government Areas (LGAs) represent local government boundaries that are defined by each State and Territory. LGAs are useful for understanding the characteristics of an individual local council area at a point in time.

LGAs are also known as Incorporated areas where incorporated local governing bodies have responsibilities (e.g. your local council). Not all areas of Australia are incorporated areas for example, northern parts of South Australia, all of the Australian Capital Territory and some Other Territories. These regions are defined as ‘Unincorporated’ in the ABS LGA structure.

LGAs are built from Mesh Blocks.

Annual reviews of LGAs are conducted and new boundaries are released if changes are identified. For information on these changes see ASGS Edition 3 – LGAs, history of changes. In TableBuilder, LGA boundaries will be updated if there have been changes. There were minor 2023 changes, however, as there were no changes to source boundaries that resulted in a Mesh Block changing allocation, a 2023 LGA variable will not be added in Census TableBuilder datasets.

​

Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

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 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.

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.

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 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.

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.

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.

This map shows the predominant year of arrival to Australia. 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.Data is from the General Community Profile from the Australian Bureau of Statistics 2016 census. 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 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. Source: Australian Bureau of Statistics

Key Table Information.Table Title.Construction: Location of Construction Establishments by Employment Size for the U.S. and States: 2022.Table ID.ECNLOCCONS2022.EC2223LOCCONS.Survey/Program.Economic Census.Year.2022.Dataset.ECN Sector Statistics Economic Census: Construction: Location of Construction Establishments by Employment Size for the U.S. and States.Source.U.S. Census Bureau, 2022 Economic Census, Sector Statistics.Release Date.2025-05-15.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Employment size of establishmentsNumber of establishmentsDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. and State levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for U.S. and States. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector23/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specifi...

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.

This map shows the predominant number of cars per dwelling (0 to 4 vehicles) by Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1), and State Suburb (SSC) boundaries.Data is from the General Community Profile from the Australian Bureau of Statistics 2016 census. 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 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. Source: Australian Bureau of Statistics

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.

Population and other demographic information is collected by the US Census Bureau.

View the US Census Bureau's Quick Facts page about Bloomington, Indiana at https://www.census.gov/quickfacts

The Demographic Profile and other data for Bloomington can be viewed or downloaded from the American FactFinder search tool: https://factfinder.census.gov/bkmk/cf/1.0/en/place/Bloomington city, Indiana/POPULATION/DECENNIAL_CNT

The Census Bureau is creating a new platform for data. This site is in a preview stage and some parts are under construction. Here is a link for Bloomington: https://data.census.gov/cedsci/results/all?q=Bloomington%20city,%20Indiana&g=1600000US1805860&ps=app*from@SINGLE_SEARCH

The City webpage for Census data contains other related information: https://bloomington.in.gov/about/census-data

This map shows the predominant marital status of an area: married, divorced, separated, never married, separated. 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.Data is from the General Community Profile from the Australian Bureau of Statistics 2016 census. 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 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. Source: Australian Bureau of Statistics

Net change in housing units arising from new buildings, demolitions, or alterations for NYC Census Blocks since 2010. The NYC Department of City Planning's (DCP) Housing Database provide the 2010 census count of housing units, the net change in Class A housing units since the census, and the count of units pending completion for commonly used political and statistical boundaries. These tables are aggregated from the DCP Housing Database, which is derived from Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. All previously released versions of this data are available at BYTES of the BIG APPLE - Archive.