100+ datasets found
  1. Suburb Locality - Population

    • data.linz.govt.nz
    csv, dbf (dbase iii) +4
    Updated Jun 16, 2023
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    Land Information New Zealand (2023). Suburb Locality - Population [Dataset]. https://data.linz.govt.nz/table/113761-suburb-locality-population/
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    mapinfo mif, mapinfo tab, geopackage / sqlite, geodatabase, csv, dbf (dbase iii)Available download formats
    Dataset updated
    Jun 16, 2023
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Description

    The Population data table is part of NZ Suburbs and Localities Dataset. This table contains the population estimate for each suburb and locality, provided by StatsNZ.

    NZ Suburbs and Localities is an easy to use layer generated from the normalised NZ Suburbs and Localities Dataset. It describes the spatial extent and name of communities in urban areas (suburbs) and rural areas (localities) for navigation and location purposes.

    The suburb and locality boundaries cover New Zealand including North Island, South Island, Stewart Island/Rakiura, Chatham Islands, and nearby offshore islands.

    Each suburb and locality is assigned a name, major name, Territorial Authority and, if appropriate, additional in use names. A population estimate is provided for each suburb and locality by Stats NZ.

    For more information please refer to the NZ Suburbs and Localities Guidance documents:

    Data Dictionary Change Request Process Change Request Principles, Requirements and Rules Changes to NZ Suburbs and Localities can be requested by emailing addresses@linz.govt.nz

  2. p

    ABS - Census of Population and Housing - Selected Person Characteristics By...

    • data.peclet.com.au
    • data.cumberland.nsw.gov.au
    csv, excel, geojson +1
    Updated Jun 3, 2025
    + more versions
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    (2025). ABS - Census of Population and Housing - Selected Person Characteristics By Sex - Suburb Level - G01 [Dataset]. https://data.peclet.com.au/explore/dataset/abs-2021-census-of-population-and-housing-selected-person-characteristics-by-sex/
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    excel, json, geojson, csvAvailable download formats
    Dataset updated
    Jun 3, 2025
    Description

    ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at Suburb level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.Please note that 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.

  3. u

    Suburb Demographics

    • opendata.unley.sa.gov.au
    Updated Jun 15, 2023
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    City of Unley GIS Portal (2023). Suburb Demographics [Dataset]. https://opendata.unley.sa.gov.au/datasets/82fd961068044097a5583efca65e9d22
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    Dataset updated
    Jun 15, 2023
    Dataset authored and provided by
    City of Unley GIS Portal
    Area covered
    Description

    Introducing the City of Unley's Demographics dataset, a valuable resource on our Open Data portal. This comprehensive collection offers a rich glimpse into the diverse population residing in Unley. Explore a wide range of demographic information, including age, gender, ethnicity, and socio-economic indicators. Unlock valuable insights and make data-driven decisions for urban planning, resource allocation, and community development. Join us in fostering transparency and empowering data-driven solutions with this robust Demographics dataset.Attributes include:Population (2011, 2016, 2021)Age cohort profiles (%)Household Composition (%)Median AgeLanguage Spoken at HomeHouseholds ownership/rentMedian Weekly RentMedium/High Density Housing

  4. O

    ACT Population Projections by Suburb (2015 - 2020)

    • data.act.gov.au
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jul 24, 2017
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    ACT Government (2017). ACT Population Projections by Suburb (2015 - 2020) [Dataset]. https://www.data.act.gov.au/People-and-Society/ACT-Population-Projections-by-Suburb-2015-2020-/kci6-ugxa
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    application/rssxml, csv, json, application/rdfxml, xml, tsvAvailable download formats
    Dataset updated
    Jul 24, 2017
    Dataset authored and provided by
    ACT Government
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Australian Capital Territory
    Description

    The projections are based upon actual values obtained in 2015, and estimates obtained for 2016. A full list of all projections, including historical projections, can be found at http://apps.treasury.act.gov.au/demography/projections/act.

    These population projections are not intended to present predictions of the demographic future to any degree of reliability or precision. The population projections contained here are the projected population resulting from certain assumptions about future trends in fertility, mortality and migration trends.

    Future population trends are influenced by a variety of social, economic and political factors, with significant fluctuation in short-term population growth rates as well as in the underlying social, economic and political influencers. Numerous behavioural assumptions are required to be made for each age cohort and sex. Many of these assumptions will be swamped by the random impacts on the future movements of individuals through births, deaths, and relocation. Neither the authors nor the ACT Government give warranty in relation to these projections, and no liability is accepted by the authors or the Government or any other person who assisted in the preparation of the publication, for errors and omissions, loss or damage suffered as a result of any person acting in reliance thereon.

  5. n

    ABS - Census of Population and Housing - Country of birth of person by age -...

    • data.cumberland.nsw.gov.au
    • data.peclet.com.au
    csv, excel, json
    Updated Jul 31, 2024
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    (2024). ABS - Census of Population and Housing - Country of birth of person by age - Suburb Level - G09 [Dataset]. https://data.cumberland.nsw.gov.au/explore/dataset/abs-country-of-birth-of-person-by-age-suburb-level-g09/
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    excel, json, csvAvailable download formats
    Dataset updated
    Jul 31, 2024
    Description

    ABS Census data extract - G09 COUNTRY OF BIRTH OF PERSON BY AGE providing a breakdown of population at Suburb level and by:age groupscountry of birth of person(a)Australia(b)China (excludes SARs and Taiwan)(c)Hong Kong (SAR of China)(c)Born elsewhere(d)This data is based on place of usual residence.(a) This list consists of the most common 50 Country of Birth responses reported in the 2016 Census and 2011 Census.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Special Administrative Regions (SARs) comprise 'Hong Kong (SAR of China)' and 'Macau (SAR of China)'. (d) Includes countries not identified individually, 'Inadequately described', and 'At sea'. Excludes not stated.Please note that 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.

  6. A

    Locale - Current

    • data.amerigeoss.org
    Updated Jun 16, 2021
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    AmeriGEOSS Dev (2021). Locale - Current [Dataset]. https://data.amerigeoss.org/da_DK/dataset/locale-current-758dc
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    zip, xml, kml, html, arcgis geoservices rest api, csv, geojsonAvailable download formats
    Dataset updated
    Jun 16, 2021
    Dataset provided by
    AmeriGEOSS Dev
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This data layer produced by the National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimates (EDGE) program provides a geographic locale framework that classifies all U.S. territory into twelve categories ranging from Large Cities to Remote Rural areas. NCES uses this framework to describe the type of geographic area where schools and school districts are located. The criteria for these classifications are defined by NCES, but they rely on standard geographic areas developed and maintained by the U.S. Census Bureau. The 2019 NCES Locale boundaries are based on geographic areas represented in Census TIGER/Line 2019. The NCES Education Demographic and Geographic Estimate (EDGE) program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to annually update the locale boundaries. For more information about the NCES locale framework, and to download the data, see: https://nces.ed.gov/programs/edge/Geographic/LocaleBoundaries. The classifications include:

    • City - Large (11): Territory inside an Urbanized Area and inside a Principal City with population of 250,000 or more.
    • City - Midsize (12): Territory inside an Urbanized Area and inside a Principal City with population less than 250,000 and greater than or equal to 100,000.
    • City - Small (13): Territory inside an Urbanized Area and inside a Principal City with population less than 100,000.
    • Suburb – Large (21): Territory outside a Principal City and inside an Urbanized Area with population of 250,000 or more.
    • Suburb - Midsize (22): Territory outside a Principal City and inside an Urbanized Area with population less than 250,000 and greater than or equal to 100,000.
    • Suburb - Small (23): Territory outside a Principal City and inside an Urbanized Area with population less than 100,000.
    • Town - Fringe (31): Territory inside an Urban Cluster that is less than or equal to 10 miles from an Urbanized Area.
    • Town - Distant (32): Territory inside an Urban Cluster that is more than 10 miles and less than or equal to 35 miles from an Urbanized Area.
    • Town - Remote (33): Territory inside an Urban Cluster that is more than 35 miles of an Urbanized Area.
    • Rural - Fringe (41): Census-defined rural territory that is less than or equal to 5 miles from an Urbanized Area, as well as rural territory that is less than or equal to 2.5 miles from an Urban Cluster.
    • Rural - Distant (42): Census-defined rural territory that is more than 5 miles but less than or equal to 25 miles from an Urbanized Area, as well as rural territory that is more than 2.5 miles but less than or equal to 10 miles from an Urban Cluster.
    • Rural - Remote (43): Census-defined rural territory that is more than 25 miles from an Urbanized Area and is also more than 10 miles from an Urban Cluster.
  7. d

    Australia B2C Language Demographic Data | Languages by suburb

    • datarade.ai
    .xls
    Updated May 1, 2024
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    Blistering Developers (2024). Australia B2C Language Demographic Data | Languages by suburb [Dataset]. https://datarade.ai/data-products/australia-b2c-language-demographic-data-languages-by-suburb-blistering-developers
    Explore at:
    .xlsAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset authored and provided by
    Blistering Developers
    Area covered
    Australia
    Description

    With extensive coverage nationally and across various languages, our B2C Language Demographic Data provides valuable insights for sales, marketing, and research purposes. Whether you're seeking to expand your client base, enhance lead generation efforts, or conduct market analysis, our dataset empowers you to make informed decisions and drive business growth.

    Our B2C Language Demographic Data covers a wide range of languages including but not limited to Chinese, Arabic, Hindi, French, German, Vietnamese and more. By leveraging our dataset, you can identify potential prospects, explore new market opportunities, and stay ahead of the competition. Whether you're a startup looking to establish your presence, a seasoned enterprise aiming to expand your market share or a researcher, our B2C Language Demographic Data offers valuable insights.

    Uses

    The use cases of our B2C Language Demographic Data are diverse and versatile. From targeted marketing campaigns (e.g., billboard, location-based), to market segmentation and cohort analysis, our dataset serves as a valuable asset for various business and research functions. Whether you're targeting influencers, or specific industry verticals, our B2C Language Demographic Data provides the foundation for effective communication and engagement.

    Key benefits of our B2C Language Demographic Data include:

    • Enhanced Lead Generation: Identify locations of high-potential prospects
    • Improved Targeting: Tailor your marketing efforts based on detailed location- based insights on your target cohort. Our rich set of contact points enable business to direct energies to precisely where they create the most impact.
    • Increased ROI: Maximize the efficiency of your marketing campaigns by focusing on the most promising opportunities.
    • Data Accuracy: Ensure the reliability and validity of your data with our regularly updated and verified dataset.
    • Competitive Advantage: Stay ahead of the competition by accessing comprehensive market intelligence and strategic insights.
    • Scalability: Our dataset grows with your business, providing scalability and flexibility to meet evolving needs.
    • Compliance: Our B2C Language Demographic Data complies with relevant data privacy regulations

    Why businesses partner with us:

    Operating for over ten years, innovation is our north star, driving value, fostering collaborative grown and compounding returns for our partners.
    Our data is compliant and responsibly collected. We are easy to work with.
    We offer products that are cost effective and good value. We work to make an impact for our customers. Talk to us about the solutions you are after

    Key Tags:

    Data Enrichment, B2C Sales, Analytics, People Data, B2C, Customer Data, Prospect Data, Audience Generation, B2C Data Enrichment, Business Intelligence, AI / ML, Market Intelligence, Segmentation, Audience Targeting, Audience Intelligence, B2C Advertising, List Validation, Data Cleansing, Competitive Intelligence, Demographic Data, B2C Data, Lead Information, Data Append, Data Augmentation, Data Cleansing, Data Enhancement, Data Intelligence, Data Science, Due Diligence, Marketing Data Enrichment, Master Data Enrichment, People-Based Marketing, Predictive Analytics, Prospecting, Sales Intelligence, Sales Prospecting

  8. p

    ABS - Census of Population and Housing - Language used at home by...

    • data.peclet.com.au
    csv, excel, json
    Updated Jul 31, 2024
    + more versions
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    (2024). ABS - Census of Population and Housing - Language used at home by proficiency in spoken English by sex - Suburb Level - G13 [Dataset]. https://data.peclet.com.au/explore/dataset/abs-g13-suburb-level-by-lga-and-state/
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Jul 31, 2024
    Description

    ABS Census data extract - G13 LANGUAGE USED AT HOME BY PROFICIENCY IN SPOKEN ENGLISH providing a breakdown of population at Suburb level and by:speaks English onlyother language(a)not stated(b)other Chinese languages(c)other Indo-Aryan languages(d)other Southeast Asian Austronesian languages(e)other(f)This data is based on place of usual residence.(a) This list of languages consists of the most common Language used at home responses reported in the 2016 Census and 2011 Census. (b) Includes the categories 'Proficiency in English not stated' and 'Language and proficiency in English not stated'.(c) Comprises 'Chinese, nfd', 'Hakka', 'Wu', 'Min Nan' and 'Chinese, nec'.(d) Comprises' Indo-Aryan, nfd', 'Konkani', 'Marathi', 'Sindhi', 'Assamese', 'Dhivehi', 'Kashmiri', 'Oriya', 'Fijian Hindustani' and 'Indo-Aryan, nec'.(e) Comprises 'Bikol', 'Bisaya', 'Cebuano', 'Ilokano', 'Ilonggo (Hiligaynon)', 'Pampangan', 'Malay', 'Tetum', 'Timorese', 'Acehnese', 'Balinese', 'Iban', 'Javanese', 'Southeast Asian Austronesian Languages, nec' and 'Southeast Asian Austronesian Languages, nfd'.(f) Includes languages not identified individually, 'Inadequately described' and 'Non-verbal, so described'.Please note that 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.

  9. n

    ABS - Census of Population and Housing - Ancestry by Country of Birth of...

    • data.cumberland.nsw.gov.au
    • data.peclet.com.au
    csv, excel, json
    Updated Jul 26, 2024
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    (2024). ABS - Census of Population and Housing - Ancestry by Country of Birth of Parents - Suburb Level - G08 [Dataset]. https://data.cumberland.nsw.gov.au/explore/dataset/abs-ancestry-by-country-of-birth-of-parents-g08-suburb-level/
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    csv, json, excelAvailable download formats
    Dataset updated
    Jul 26, 2024
    Description

    ABS Census data extract - G08 ANCESTRY BY COUNTRY OF BIRTH OF PARENTS providing a breakdown of population at Suburb level and by:ancestry(a)birthplace not stated(b)total responses(c) andother(d)This data is based on place of usual residence.(a) This list of ancestries consists of the most common 30 Ancestry responses reported in the 2016 and 2011 Census. (b) Includes birthplace for either or both parents not stated.(c) This table is a multi-response table and therefore the total responses count will not equal the total persons count.(d) If two responses from one person are categorised in the 'Other' category only one response is counted. Includes ancestries not identified individually and 'Inadequately described'.Please note that 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.

  10. d

    Census - Community Profile - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated Sep 9, 2019
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    (2019). Census - Community Profile - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/census-pae-community-profile
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    Dataset updated
    Sep 9, 2019
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Australia
    Description

    The City of Port Adelaide Enfield Community Profile provides demographic and economic analysis for the Council area and its suburbs based on results from the 2016, 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with population estimates when the Australian Bureau of Statistics (ABS) releases new figures. This is an interactive query tool where results can be downloaded in various formats. Three reporting types are available from this resource: 1. Social atlas that delivers the data displayed on a map showing each SA1 area (approx 200 households), 2. Community Profile which delivers data at a District level which contain 2 to 3 suburbs, and 3. Economic Profile which reports statistics of an economic indicators. The general community profile/social atlas themes available for reporting on are: -Age -Education -Ethnicity -Disability -Employment/Income -Household types -Indigenous profile -Migration -Journey to work -Disadvantage -Population Estimates -Building approvals. It also possible to navigate to the Community Profiles of some other Councils as well.

  11. Growth in renter population in selected suburbs in the U.S. 2011-2016

    • statista.com
    Updated Nov 6, 2020
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    Statista (2020). Growth in renter population in selected suburbs in the U.S. 2011-2016 [Dataset]. https://www.statista.com/statistics/971194/increase-renter-population-suburbs-usa/
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    Dataset updated
    Nov 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the growth in renter population in selected suburbs in the United States between 2011 and 2016. In that period, the renter population in Norcross, Georgia grew by 148 percent.

  12. Locales 2020

    • s.cnmilf.com
    • catalog.data.gov
    • +2more
    Updated Oct 21, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). Locales 2020 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/locales-2020-7e330
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    This data layer produced by the National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimates (EDGE) program provides a geographic locale framework that classifies all U.S. territory into twelve categories ranging from Large Cities to Remote Rural areas. NCES uses this framework to describe the type of geographic area where schools and school districts are located. The criteria for these classifications are defined by NCES, but they rely on standard geographic areas developed and maintained by the U.S. Census Bureau. The 2020 NCES Locale boundaries are based on geographic areas represented in Census TIGER/Line 2020. The NCES Education Demographic and Geographic Estimate (EDGE) program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to annually update the locale boundaries. For more information about the NCES locale framework, see: https://nces.ed.gov/programs/edge/Geographic/LocaleBoundaries. The classifications include: City - Large (11): Territory inside an Urbanized Area and inside a Principal City with population of 250,000 or more. City - Midsize (12): Territory inside an Urbanized Area and inside a Principal City with population less than 250,000 and greater than or equal to 100,000. City - Small (13): Territory inside an Urbanized Area and inside a Principal City with population less than 100,000. Suburb – Large (21): Territory outside a Principal City and inside an Urbanized Area with population of 250,000 or more. Suburb - Midsize (22): Territory outside a Principal City and inside an Urbanized Area with population less than 250,000 and greater than or equal to 100,000. Suburb - Small (23): Territory outside a Principal City and inside an Urbanized Area with population less than 100,000. Town - Fringe (31): Territory inside an Urban Cluster that is less than or equal to 10 miles from an Urbanized Area. Town - Distant (32): Territory inside an Urban Cluster that is more than 10 miles and less than or equal to 35 miles from an Urbanized Area. Town - Remote (33): Territory inside an Urban Cluster that is more than 35 miles of an Urbanized Area. Rural - Fringe (41): Census-defined rural territory that is less than or equal to 5 miles from an Urbanized Area, as well as rural territory that is less than or equal to 2.5 miles from an Urban Cluster. Rural - Distant (42): Census-defined rural territory that is more than 5 miles but less than or equal to 25 miles from an Urbanized Area, as well as rural territory that is more than 2.5 miles but less than or equal to 10 miles from an Urban Cluster. Rural - Remote (43): Census-defined rural territory that is more than 25 miles from an Urbanized Area and is also more than 10 miles from an Urban Cluster.All information contained in this file is in the public _domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  13. What is the most common number of cars per house? 2021 Census

    • hub.arcgis.com
    • digital-earth-pacificcore.hub.arcgis.com
    Updated Mar 3, 2023
    + more versions
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    Esri Australia (2023). What is the most common number of cars per house? 2021 Census [Dataset]. https://hub.arcgis.com/maps/dc6c58731fd845b7b8c7f1c1963ee67b
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    Dataset updated
    Mar 3, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This web map contains layers that contain some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 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 Suburb and Localities (SAL) boundaries.The General Community Profile 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.Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed geography information: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS)https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:Registered Marital StatusIn December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples.Core Activity Need for AssistanceMeasures 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), or old age. Number of Motor VehiclesExcludes motorbikes, motor scooters and heavy vehicles.Please note that 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.Source: Australian Bureau of Statistics

  14. r

    Families and Income

    • researchdata.edu.au
    • data.gov.au
    • +1more
    Updated May 27, 2013
    + more versions
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    data.sa.gov.au (2013). Families and Income [Dataset]. https://researchdata.edu.au/families-income/1953314
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    Dataset updated
    May 27, 2013
    Dataset provided by
    data.sa.gov.au
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data file presents counts of families in different income and family composition categories based on their place of usual residence, from 2011 Census of Population and Housing.

  15. Australian Bureau of Statistics 2021 Suburbs and Locality Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 9, 2022
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    Australian Bureau of Statistics (2022). Australian Bureau of Statistics 2021 Suburbs and Locality Boundaries [Dataset]. https://koordinates.com/layer/114008-australian-bureau-of-statistics-2021-suburbs-and-locality-boundaries/
    Explore at:
    pdf, geopackage / sqlite, kml, mapinfo mif, shapefile, csv, dwg, geodatabase, mapinfo tabAvailable download formats
    Dataset updated
    Dec 9, 2022
    Dataset authored and provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    License

    https://koordinates.com/license/attribution-4-0-international/https://koordinates.com/license/attribution-4-0-international/

    Area covered
    Description

    Suburbs and Localities (SAL)

    Previously known as State Suburbs (SSC).

    Suburbs and Localities (SALs) are an approximation of the officially recognised boundaries of suburbs (in cities and larger towns) and localities (outside of cities and larger towns). There are 15,353 SALs covering the whole of Australia without gaps or overlaps. They are constructed from Mesh Blocks.

    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

  16. 2021 Census - General Community Profile

    • esriaustraliahub.com.au
    Updated Nov 25, 2022
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    Esri Australia (2022). 2021 Census - General Community Profile [Dataset]. https://www.esriaustraliahub.com.au/maps/f09f5e102b3640a49721d1ec1a6e7699
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    Dataset updated
    Nov 25, 2022
    Dataset provided by
    Esri Australia
    Esrihttp://esri.com/
    Authors
    Esri Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer provide some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 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 Suburb and Localities (SAL) boundaries.

    The General Community Profile 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 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacks Glossary terms and definitions of classifications can be found in the 2021 Census Dictionary More information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacks

    Detailed geography information:

    https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS) https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)

    Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:

    Registered Marital Status In December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples. Core Activity Need for Assistance Measures 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), or old age. Number of Motor Vehicles Excludes motorbikes, motor scooters and heavy vehicles.

    Please note that 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.

    Source: Australian Bureau of Statistics

  17. g

    Macro Unit - ACT Population Projections by Suburb (2015 - 2020)

    • gimi9.com
    Updated Mar 10, 2011
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    (2011). Macro Unit - ACT Population Projections by Suburb (2015 - 2020) [Dataset]. https://gimi9.com/dataset/au_kci6-ugxa
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    Dataset updated
    Mar 10, 2011
    Area covered
    Australian Capital Territory
    Description

    The projections are based upon actual values obtained in 2015, and estimates obtained for 2016. A full list of all projections, including historical projections, can be found at http://apps.treasury.act.gov.au/demography/projections/act. These population projections are not intended to present predictions of the demographic future to any degree of reliability or precision. The population projections contained here are the projected population resulting from certain assumptions about future trends in fertility, mortality and migration trends. Future population trends are influenced by a variety of social, economic and political factors, with significant fluctuation in short-term population growth rates as well as in the underlying social, economic and political influencers. Numerous behavioural assumptions are required to be made for each age cohort and sex. Many of these assumptions will be swamped by the random impacts on the future movements of individuals through births, deaths, and relocation. Neither the authors nor the ACT Government give warranty in relation to these projections, and no liability is accepted by the authors or the Government or any other person who assisted in the preparation of the publication, for errors and omissions, loss or damage suffered as a result of any person acting in reliance thereon.

  18. w

    2014 town and community profile for Middle Park (Suburb)

    • data.wu.ac.at
    • data.gov.au
    xlsx
    Updated Mar 8, 2016
    + more versions
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    Department of Health and Human Services (2016). 2014 town and community profile for Middle Park (Suburb) [Dataset]. https://data.wu.ac.at/schema/www_data_vic_gov_au/YzkxNWFkYzEtNzhkYi00NzNkLTkwMTctYWE0N2RkNjk3NThj
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 8, 2016
    Dataset provided by
    Department of Health and Human Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.

  19. Owners Vs Renters

    • esriaustraliahub.com.au
    Updated Mar 31, 2023
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    Esri Australia (2023). Owners Vs Renters [Dataset]. https://www.esriaustraliahub.com.au/maps/b833b24db3114d059920aaca47e4a0bd
    Explore at:
    Dataset updated
    Mar 31, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This web maps looks at the breakdown of who is renting, who is paying off the mortgage, and who owns their place outright. Using data from ABS Census 2021 General Community Profile release. This map shows the percentage of the population that is married. 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.This map contains layers that contain some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 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 Suburb and Localities (SAL) boundaries.The General Community Profile 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.Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed geography information: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS)https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:Registered Marital StatusIn December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples.Core Activity Need for AssistanceMeasures 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), or old age. Number of Motor VehiclesExcludes motorbikes, motor scooters and heavy vehicles.Please note that 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.Source: Australian Bureau of Statistics

  20. w

    2014 town and community profile for Point Cook (Catchment)

    • data.wu.ac.at
    • data.gov.au
    xlsx
    Updated Mar 8, 2016
    + more versions
    Share
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    Department of Health and Human Services (2016). 2014 town and community profile for Point Cook (Catchment) [Dataset]. https://data.wu.ac.at/schema/www_data_vic_gov_au/ODY2ZjM1MTItYjQxYS00MDg1LWEyMTAtYjE0ODgzZjhhMmE0
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 8, 2016
    Dataset provided by
    Department of Health and Human Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Land Information New Zealand (2023). Suburb Locality - Population [Dataset]. https://data.linz.govt.nz/table/113761-suburb-locality-population/
Organization logo

Suburb Locality - Population

Explore at:
mapinfo mif, mapinfo tab, geopackage / sqlite, geodatabase, csv, dbf (dbase iii)Available download formats
Dataset updated
Jun 16, 2023
Dataset authored and provided by
Land Information New Zealandhttps://www.linz.govt.nz/
License

https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

Description

The Population data table is part of NZ Suburbs and Localities Dataset. This table contains the population estimate for each suburb and locality, provided by StatsNZ.

NZ Suburbs and Localities is an easy to use layer generated from the normalised NZ Suburbs and Localities Dataset. It describes the spatial extent and name of communities in urban areas (suburbs) and rural areas (localities) for navigation and location purposes.

The suburb and locality boundaries cover New Zealand including North Island, South Island, Stewart Island/Rakiura, Chatham Islands, and nearby offshore islands.

Each suburb and locality is assigned a name, major name, Territorial Authority and, if appropriate, additional in use names. A population estimate is provided for each suburb and locality by Stats NZ.

For more information please refer to the NZ Suburbs and Localities Guidance documents:

Data Dictionary Change Request Process Change Request Principles, Requirements and Rules Changes to NZ Suburbs and Localities can be requested by emailing addresses@linz.govt.nz

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