6 datasets found
  1. r

    ABS - Data by Region - Population & People (SA4) 2011-2019

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
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    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). ABS - Data by Region - Population & People (SA4) 2011-2019 [Dataset]. https://researchdata.edu.au/abs-data-region-2011-2019/2748084
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

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

    Area covered
    Description

    This dataset presents data on population and people 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 population and people: Estimated Resident Population, Working Age Population, Median Age, Births and Deaths, Population Density, Internal and Overseas Migration, Aboriginal and Torres Strait Islander people, Overseas Born Proportion, Religious Affiliation and Speaks language other than English.

    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.

  2. a

    ABS - Births in Australia (SA2) 2010-2020 - Dataset - AURIN

    • data.aurin.org.au
    Updated Mar 5, 2025
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    (2025). ABS - Births in Australia (SA2) 2010-2020 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-abs-births-sa2-2010-2020-sa2-2016
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    Dataset updated
    Mar 5, 2025
    License

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

    Area covered
    Australia
    Description

    This dataset contains statistics about births and fertility rates for Australia, states and territories, and sub-state regions. It includes all births that occurred and were registered in Australia, including births to mothers whose place of usual residence was overseas. Estimated resident populations (ERPs) are used as denominators to calculate fertility rates and are based on the results of the 2016 Census. This dataset uses the ABS Statistical Area Level 2 (SA2) boundaries of the Australian Statistical Geography Standard (ASGS) 2016. For more information such as the scope, coverage and exclusions used in this dataset please visit the Australian Bureau of Statistics (ABS) methodology documentation. AURIN has spatially enabled the original data from the ABS with the 2016 SA2 boundaries.

  3. Population of the UK by country of birth and nationality: individual country...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Nov 25, 2021
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    Office for National Statistics (2021). Population of the UK by country of birth and nationality: individual country data (Discontinued after June 2021) [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/internationalmigration/datasets/populationoftheunitedkingdombycountryofbirthandnationalityunderlyingdatasheets
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    xlsAvailable download formats
    Dataset updated
    Nov 25, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    UK residents by individual countries of birth and citizenship, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

  4. r

    NATSEM - Social and Economic Indicators - Migration Rate SA2 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
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    University of Canberra - National Centre for Social and Economic Modelling (2023). NATSEM - Social and Economic Indicators - Migration Rate SA2 2016 [Dataset]. https://researchdata.edu.au/natsem-social-economic-sa2-2016/2746827
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    University of Canberra - National Centre for Social and Economic Modelling
    License

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

    Area covered
    Description

    This dataset presents the migration rate in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).

    The migration rate is the proportion of people in the area who were not born in Australia, that is, who have migrated to Australia in the past.

    All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying.

    For more information please view the NATSEM Technical Report.

    Please note:

    • AURIN has spatially enabled the original data provided directly from NATSEM.

    • Where data values are NULL, the data is either unpublished or not applicable mathematically.

    • In the calculation, Inadequately Described, At sea, Not Stated and Overseas Visitor were excluded from both the numerator and denominator as there is no information on these respondents.

    • Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.

  5. a

    ABS - Life Tables - Life Expectancy (SA4) 2010-2019

    • data.aurin.org.au
    Updated Mar 5, 2025
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    (2025). ABS - Life Tables - Life Expectancy (SA4) 2010-2019 [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-abs-life-tables-sa4-2010-2019-sa4-2016
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    Dataset updated
    Mar 5, 2025
    License

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

    Description

    This dataset presents life expectancy at birth estimates for males, females and persons. This dataset covers the reference period 2010-12 to 2017-19, and is based on Statistical Area Level 4 (SA4), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). For further information please visit the Australian Bureau of Statistics. Internationally, life tables are used to measure mortality. In its simplest form, a life table is generated from age-specific death rates and the resulting values are used to measure mortality, survivorship and life expectancy. The life table depicts the mortality experience of a hypothetical group of newborn babies throughout their entire lifetime. It is based on the assumption that this group is subject to the age-specific mortality rates of the reference period. Typically this hypothetical group is 100,000 persons in size. AURIN has spatially enabled the original data.

  6. r

    Diggers to Veterans Database

    • researchdata.edu.au
    Updated Apr 9, 2018
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    JANET MCCALMAN; Rebecca Kippen (2018). Diggers to Veterans Database [Dataset]. http://doi.org/10.4225/03/5a97820682e78
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    Dataset updated
    Apr 9, 2018
    Dataset provided by
    Monash University
    Authors
    JANET MCCALMAN; Rebecca Kippen
    Description

    This study traces a systematic random sample of 10,000 men who enlisted during World War One (the Great War), 1914-18, in units raised in the Australian state of Victoria. Around 8,000 of these men survived their war service.

    The sample covers all ranks and service including artillery, infantry, light horse, transport, sappers, service and field ambulance. Around 20 per cent of the sample were born outside Australia and a further portion in other states. The men are coded for geographic place of origin which provides a wide sample of environments in early life from rural communities, to ‘residential suburbs’ and ‘industrial suburbs’ both in Australia and abroad. Other early-life conditions such as socio-economic status and familial integrity are determined from data in birth records, enlistment papers, and other sources.
    Each individual is followed through his war experience and later life—through to death where possible—using a wealth of data from sources including war service files, veterans’ medical and pension records, regimental histories, birth and death registers, electoral rolls, digitised newspapers, and child welfare archives.
    A team of highly trained volunteers have conducted genealogical detective work to trace the sample and document and code life-course characteristics and events. These volunteer researchers draw on two skill sets: historical and medical.
    The history team has produced early and later life data of extraordinary detail, enabling us to identify levels of advantage or deprivation in childhood that may have later life effects: early death of parents, criminal offending, alcohol and violence, marriage breakdown and incarceration as wards of the state. At the same time, the historical researchers have identified those who went to private schools and had upper class social affiliations (from newspaper social pages). For later civilian life they have extracted data on career milestones, community leadership as well as antisocial behaviour, and data on veterans’ children that may have reached the newspapers. The history team also recorded and coded the war service, noting times in and out of the line, all insults with time out of service, conduct offences, valour and promotion. They have coded a range of wounds and illnesses for later analysis against morbidity and mortality.
    The medical team has analysed the Repatriation personal file, providing a clinical summary of the veteran’s health and life effects of the war, and an assessment of their treatment by the authorities.

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Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). ABS - Data by Region - Population & People (SA4) 2011-2019 [Dataset]. https://researchdata.edu.au/abs-data-region-2011-2019/2748084

ABS - Data by Region - Population & People (SA4) 2011-2019

Explore at:
nullAvailable download formats
Dataset updated
Jun 28, 2023
Dataset provided by
Australian Urban Research Infrastructure Network (AURIN)
Authors
Government of the Commonwealth of Australia - Australian Bureau of Statistics
License

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

Area covered
Description

This dataset presents data on population and people 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 population and people: Estimated Resident Population, Working Age Population, Median Age, Births and Deaths, Population Density, Internal and Overseas Migration, Aboriginal and Torres Strait Islander people, Overseas Born Proportion, Religious Affiliation and Speaks language other than English.

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.

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