30 datasets found
  1. First Home Benefits - Top 20 NSW suburbs and towns (last 12 months)

    • data.nsw.gov.au
    • researchdata.edu.au
    • +1more
    xls
    Updated Jul 11, 2024
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    Revenue NSW (2024). First Home Benefits - Top 20 NSW suburbs and towns (last 12 months) [Dataset]. https://data.nsw.gov.au/data/dataset/first-home-benefits-top-20-nsw-suburbs-and-towns-last-12-months
    Explore at:
    xls(78774)Available download formats
    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Revenue NSWhttp://www.revenue.nsw.gov.au/
    License

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

    Area covered
    New South Wales
    Description

    First home benefits received for top 20 NSW suburbs and towns - last 12 months.

  2. D

    Priority Populations for the NSW Koala Strategy 2021-26

    • data.nsw.gov.au
    • data.gov.au
    pdf, zip
    Updated Feb 26, 2024
    + more versions
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). Priority Populations for the NSW Koala Strategy 2021-26 [Dataset]. https://data.nsw.gov.au/data/dataset/priority-populations-for-the-nsw-koala-strategy
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    pdf, zipAvailable download formats
    Dataset updated
    Feb 26, 2024
    Dataset provided by
    NSW Department of Climate Change, Energy, the Environment and Water
    License

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

    Area covered
    New South Wales
    Description

    The NSW Koala Strategy identifies 50 koala populations in New South Wales based on the Areas of Regional Koala Significance (ARKS) identified by the NSW Government (DPIE 2020), noting that koalas are also found outside these areas.

    These 50 koala populations have been prioritised in 2 intervention categories:

    • populations for immediate investment
    • populations with key knowledge gaps.

    The nineteen populations for immediate investment are relatively large koala populations supported by good levels of knowledge but subject to significant threats.

    These populations have been prioritised for investment because we have a good understanding of their size and distribution, habitat values and the nature and intensity of threats.

    Through targeted investment and management, we can reduce the threats to these koala populations. Expert assessment of a range of criteria determined whether a population area would be prioritised for investment over the next five years.

    Many of the nineteen populations are likely to support a minimum of 1000 koalas, and in some cases, they likely support many more.

    Populations for immediate investment in most cases exactly match existing ARKS. In a few cases, the name of the ARKS has been amended for clarity, and the boundary of several ARKS has also been amended (see Table 1 in MS Word document).

    For the remaining 31 koala populations, we will address knowledge gaps through a baseline survey program to assess their population status, genetics, and health.

    Some information is known about these koala populations already, however, in many places there are gaps in our knowledge. Interventions to reduce threats, improve habitat and support population viability will be carried out once the status of koalas is known and key threats identified.

    It is likely that all koala populations will benefit from local, community- based actions, improved local planning processes and targeted research on the status of koalas and the distribution of habitat.

    In addition to the initial surveys, for some populations we will use ongoing monitoring to track population trends and measure the effectiveness of interventions.

    The intervention category of koala populations may change over time. Populations can move between categories as knowledge is improved, or populations are made more secure through strategic interventions.

    Reference: DPIE 2020, Framework for the spatial prioritisation of koala conservation actions in NSW: Saving our Species Iconic Koala Project

  3. o

    NSW Population projection 2031 LGA level

    • australiademo.opendatasoft.com
    • data.peclet.com.au
    csv, excel, geojson +1
    Updated Aug 26, 2015
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    (2015). NSW Population projection 2031 LGA level [Dataset]. https://australiademo.opendatasoft.com/explore/dataset/nsw-population-projection-2031-lga-level0/?sort=average_population_growth_per_year
    Explore at:
    json, csv, geojson, excelAvailable download formats
    Dataset updated
    Aug 26, 2015
    Area covered
    New South Wales
    Description

    Population projection data for New South Wales to the year 2031. Data is provided at Local Government Area (LGA) level.

  4. p

    Population by LGA - ABS data from 2001

    • data.peclet.com.au
    • mav-technology-geelongvic.opendatasoft.com
    • +1more
    csv, excel, geojson +1
    Updated Feb 26, 2025
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    (2025). Population by LGA - ABS data from 2001 [Dataset]. https://data.peclet.com.au/explore/dataset/lga-population-abs/
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    csv, json, excel, geojsonAvailable download formats
    Dataset updated
    Feb 26, 2025
    Description

    ABS Statistics about the population, density and components of change (births, deaths, migration) for Australia's capital cities and regions.This dataset is based on ABS Population estimates and components by LGA Excel files as data sources.

  5. r

    Top Baby Suburbs and Towns

    • researchdata.edu.au
    • data.wu.ac.at
    Updated Dec 16, 2015
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    data.nsw.gov.au (2015). Top Baby Suburbs and Towns [Dataset]. https://researchdata.edu.au/baby-suburbs-towns/980296
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    Dataset updated
    Dec 16, 2015
    Dataset provided by
    data.nsw.gov.au
    License

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

    Description

    A list of the top 100 suburbs and towns, based on the number of baby births (mother's home address at time of the birth). Covers 2001, 2006-2007 and 2010-present.

  6. g

    NSW Health - HealthStats NSW | gimi9.com

    • gimi9.com
    Updated Jul 2, 2025
    + more versions
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    (2025). NSW Health - HealthStats NSW | gimi9.com [Dataset]. https://gimi9.com/dataset/au_nsw-health-statistics-nsw/
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    Dataset updated
    Jul 2, 2025
    Area covered
    New South Wales
    Description

    HealthStats NSW is a ‘one-stop-shop’ public website bringing together data from many sources to produce statistical information about the health of the NSW population. Users can view and download data and select indicators to produce tailored reports that provide insights into a wide range of health determinants and outcomes, including: • the health status of the NSW population • health inequalities and the determinants of health • the major causes of disease and injury and current health challenges • trends in health and comparisons between age groups and geographic locations. The data in HealthStats NSW cover a range of health risk factors, diseases, locations, and specific populations.

  7. r

    Priority Populations for the NSW Koala Strategy 2021-26

    • researchdata.edu.au
    Updated Apr 11, 2022
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    data.nsw.gov.au (2022). Priority Populations for the NSW Koala Strategy 2021-26 [Dataset]. https://researchdata.edu.au/priority-populations-nsw-2021-26/1943054
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    Dataset updated
    Apr 11, 2022
    Dataset provided by
    data.nsw.gov.au
    License

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

    Area covered
    Description

    The NSW Koala Strategy identifies 50 koala populations in New South Wales based on the Areas of Regional Koala Significance (ARKS) identified by the NSW Government (DPIE 2020), noting that koalas are also found outside these areas.\r \r These 50 koala populations have been prioritised in 2 intervention categories:\r \r * populations for immediate investment\r * populations with key knowledge gaps.\r \r The nineteen populations for immediate investment are relatively large koala populations supported by good levels of knowledge but subject to significant threats.\r \r These populations have been prioritised for investment because we have a good understanding of their size and distribution, habitat values and the nature and intensity of threats.\r \r Through targeted investment and management, we can reduce the threats to these koala populations. Expert assessment of a range of criteria determined whether a population area would be prioritised for investment over the next five years.\r \r Many of the nineteen populations are likely to support a minimum of 1000 koalas, and in some cases, they likely support many more.\r \r Populations for immediate investment in most cases exactly match existing ARKS. In a few cases, the name of the ARKS has been amended for clarity, and the boundary of several ARKS has also been amended (see Table 1 in MS Word document).\r \r For the remaining 31 koala populations, we will address knowledge gaps through a baseline survey program to assess their population status, genetics, and health.\r \r Some information is known about these koala populations already, however, in many places there are gaps in our knowledge. Interventions to reduce threats, improve habitat and support population viability will be carried out once the status of koalas is known and key threats identified.\r \r It is likely that all koala populations will benefit from local, community- based actions, improved local planning processes and targeted research on the status of koalas and the distribution of habitat.\r \r In addition to the initial surveys, for some populations we will use ongoing monitoring to track population trends and measure the effectiveness of interventions.\r \r The intervention category of koala populations may change over time. Populations can move between categories as knowledge is improved, or populations are made more secure through strategic interventions.\r \r _Reference: DPIE 2020, Framework for the spatial prioritisation of koala conservation actions in NSW: Saving our Species Iconic Koala Project _

  8. w

    First Home Benefits - Top 20 Postcodes by Value

    • data.wu.ac.at
    • data.nsw.gov.au
    • +1more
    pdf
    Updated Jun 27, 2016
    + more versions
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    Office of State Revenue (2016). First Home Benefits - Top 20 Postcodes by Value [Dataset]. https://data.wu.ac.at/schema/data_nsw_gov_au/ZjI4YzVmY2ItNWQ3ZS00MGI4LThjOWUtOTZmZjEyZWYwMDUw
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    pdf(78870.0)Available download formats
    Dataset updated
    Jun 27, 2016
    Dataset provided by
    Office of State Revenue
    License

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

    Description

    First home benefits received for top 20 NSW suburbs and towns - from 1 July 2000.

  9. D

    Our villages

    • data.nsw.gov.au
    • researchdata.edu.au
    • +4more
    Updated Jun 4, 2025
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    City of Sydney (2025). Our villages [Dataset]. https://data.nsw.gov.au/data/dataset/5-cityofsydney--our-villages-1
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    Dataset updated
    Jun 4, 2025
    Dataset provided by
    City of Sydney
    Description

    We have identified 10 villages based around key community main streets and centres of business activity with each one having a distinct character and economic makeup.

  10. Road directory of New South Wales (including town maps) with a schedule of...

    • researchdata.edu.au
    • data.nsw.gov.au
    Updated Sep 8, 2021
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    data.nsw.gov.au (2021). Road directory of New South Wales (including town maps) with a schedule of descriptions of classified roads and works [Dataset]. https://researchdata.edu.au/road-directory-new-roads-works/1763991
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    Dataset updated
    Sep 8, 2021
    Dataset provided by
    Government of New South Waleshttp://nsw.gov.au/
    Area covered
    New South Wales
    Description

    No notes provided

  11. f

    Additional file 4: of Assessment of population genetic structure in the...

    • springernature.figshare.com
    txt
    Updated May 31, 2023
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    Maria Onyango; Nigel Beebe; David Gopurenko; Glenn Bellis; Adrian Nicholas; Moses Ogugo; Appolinaire Djikeng; Steve Kemp; Peter Walker; Jean-Bernard Duchemin (2023). Additional file 4: of Assessment of population genetic structure in the arbovirus vector midge, Culicoides brevitarsis (Diptera: Ceratopogonidae), using multi-locus DNA microsatellites [Dataset]. http://doi.org/10.6084/m9.figshare.c.3636356_D1.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Authors
    Maria Onyango; Nigel Beebe; David Gopurenko; Glenn Bellis; Adrian Nicholas; Moses Ogugo; Appolinaire Djikeng; Steve Kemp; Peter Walker; Jean-Bernard Duchemin
    License

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

    Description

    Probability values of population assignments for samples K = 2. The population Q matrix derived from STRUCTURE clustering analysis show the inferred ancestry membership proportions of each individual, in each cluster. Each individual is represented by a single vertical line, partitioned into K colored segments that represents that individual’s estimated membership fraction in each of the K inferred clusters. The X axis corresponds to the pre-defined populations (TL, PNG, QLD, NT and NSW) and the Y axis represents the proportional estimates of the estimated membership in clusters which add up to one. (TXT 11 kb)

  12. r

    NRS-1282 | 1841 Census: Abstracts of Returns

    • researchdata.edu.au
    Updated Nov 8, 2024
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    AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-10 | Premier's Office [II] (1988) / Premier's Department [II] (1988-2007) / Department of Premier and Cabinet (2007-2023) / Premier's Department [III] (2023- ) (2024). NRS-1282 | 1841 Census: Abstracts of Returns [Dataset]. https://researchdata.edu.au/1841-census-abstracts-returns/168639
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    Dataset updated
    Nov 8, 2024
    Dataset provided by
    NSW State Archives Collection
    Premier's Office [II] (1988) / Premier's Department [II] (1988-2007) / Department of Premier and Cabinet (2007-2023) / Premier's Department [III] (2023- )
    Authors
    AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-10 | Premier's Office [II] (1988) / Premier's Department [II] (1988-2007) / Department of Premier and Cabinet (2007-2023) / Premier's Department [III] (2023- )
    Time period covered
    Mar 2, 1841 - Dec 31, 1841
    Description

    An Act for ascertaining the Number of the Inhabitants of the Colony of New South Wales in the Year One thousand eight hundred and forty-one, 1840 (4 Victoria Act No. 26) required every householder, employer of servants and proprietor and occupier of land to complete the census schedule on the second day ('or on the days immediately subsequent thereto') of March 1841.

    The 1841 Census was more complete than its predecessors, as the population was recorded in police districts, counties and towns. There was a broader tabulation of results which included age groups, conjugal condition (married or unmarried), religious denomination and civil condition. Civil condition provided statistical information on the number of bond (convict) or free males and females in a household, whether they were born in the colony, arrived free, held a ticket of leave, and whether they were in government employment or private assignment.

    The Census was taken by specially appointed collectors generally responsible to a Commissioner or a Bench of Magistrates, the collector completed printed forms, known as Form ‘A’ for each household in the allotted territory. After the Census magistrates were instructed to check the returns and send abstracts to the Colonial Secretary, designated Form ‘C’. The returns were then gathered together, statistics extracted and the final returns made.

    This series comprises bound volumes of Form C . (NRS 1281).

    The Form C records: number of return, name of establishment (usually head of household), number of each age group for males, and then for females (the age divisions are under two, two and under seven, seven and under 14, 14 and under 21, 21 and under 45, 45 and under 60, 60 and upwards); married or single; civil condition: free (born in colony, arrived free, other free persons), bond (ticket of leave, in government employment, in private assignment); then religion divided into Church of England, Church of Scotland, Wesleyan Methodists, other Protestant dissenters, Roman Catholics, Jews, Mohammedans and Pagans; occupation divided into land proprietors, merchants, bankers, and professional men; shopkeepers and other retail dealers; mechanics and artificers; shepherds and others in the care of sheep; gardeners, stockmen and persons employed in agriculture; domestic servants; all other persons not included in the foregoing classes; totals for males, for females, and for both; houses - further divided into stone or brick, wood, total; finished or unfinished; inhabited or uninhabited. The columns are totalled at the bottom of each sheet.

    As well as these Abstracts of returns, there are also a number of "condensed" abstracts of returns, filled in on Form C. These enumerate the running numbers covered by each sheet of abstracts eg. one-20, 21-40 and give sums for each group as well as grand total.

    Form C abstracts are arranged by district following the order in the Returns of the Colony for 1841. 'Condensed' Abstracts are filed with the district abstracts to which they pertain.

    Berrima-Port Phillip (X946-49)
    Queanbeyan-Yass (X950-51)

    References
    1) State Records New South Wales Website, "Concise Guide to the State Archives (Ca - Commissioners): Colonial Secretary, later Chief Secretary, later Services; s. Population and Statistics, a. Musters and Census Records, ii. Census,23. 1841 Census: Abstracts of returns, CGS 1282."
    2) State Records New South Wales Website, "Introduction to the 1841 Census: Index to the 1841 Census, Background".
    3) State Records New South Wales Website, "Short Guide 12 - Muster and Census Records, 1788 - 1901".

  13. Resident population in Australia 2023, by region

    • statista.com
    • ai-chatbox.pro
    Updated Apr 3, 2024
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    Statista (2024). Resident population in Australia 2023, by region [Dataset]. https://www.statista.com/statistics/612642/australia-population-by-state/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023
    Area covered
    Australia
    Description

    As of June 2023, there were approximately 8.33 million residents in the New South Wales region in Australia. In comparison, there were around 252 thousand residents in the Northern Territory region.

  14. d

    Maitland and Lorn Levee - Gradient Sensitivity Assessment

    • data.gov.au
    Updated Oct 3, 2021
    + more versions
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    Maitland City Council (2021). Maitland and Lorn Levee - Gradient Sensitivity Assessment [Dataset]. https://data.gov.au/dataset/ds-nsw-300dbfc8-4f56-429b-92e7-61982362524f
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    Dataset updated
    Oct 3, 2021
    Dataset provided by
    Maitland City Council
    Description

    Levees are the main form of flood protection afforded to a number of regional NSW towns situated on major rivers. The original levee designs were generally based on an actual historic peak height …Show full descriptionLevees are the main form of flood protection afforded to a number of regional NSW towns situated on major rivers. The original levee designs were generally based on an actual historic peak height flood gradient. Some experiences during recent flood events have highlighted the potential for variations in the adopted flood gradients during different flood conditions. This has resulted in levees being overtopped in a manner different from that originally envisaged. The aim of the study was to identify how different shaped hydrographs (i.e. those of a similar peak magnitude but of different volumes and/or rates of rise) affect the flood gradient and whether this affects the location and/or sequence in which the levees are overtopped. The objective of this study was to identify how different shaped hydrographs (i.e. those of a similar sized peak but of different volumes and/or rates of rise) might change the flood gradient and whether this would affect the location and/or sequence in which the levees could be overtopped. In order to achieve this it was first necessary to categorise the alternative hydrograph shapes. This was done by examining hydrograph shapes from different historical floods as well as the design events.

  15. o

    State Suburbs - Australia

    • public.opendatasoft.com
    csv, excel, geojson +1
    Updated Dec 22, 2020
    + more versions
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    (2020). State Suburbs - Australia [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-australia-state-suburb/
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    csv, geojson, json, excelAvailable download formats
    Dataset updated
    Dec 22, 2020
    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 is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for all State Suburbs in Australia.The ABS does not explicitly define towns. State Suburbs (SSCs) are an ABS approximation of gazetted localities constructed from the allocation of one or more whole Mesh Blocks.Non-spatial suburbs/codes have not been included.Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.Link Local Government Area (LGA) and State Suburbs. Add LGA code.

  16. d

    Audit of Flood Levees for New South Wales - Town of Warren

    • data.gov.au
    Updated Oct 3, 2021
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    Warren Shire Council (2021). Audit of Flood Levees for New South Wales - Town of Warren [Dataset]. https://data.gov.au/dataset/ds-nsw-3f59bae8-6658-4b2a-afcd-b1ea0c015c2f
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    Dataset updated
    Oct 3, 2021
    Dataset provided by
    Warren Shire Council
    Area covered
    New South Wales
    Description

    The town of Warren on the Lower Macquarie River in the state of New South Wales has a population of about 3,500 and is protected from flooding by a system of levees. Surrounding the southern section …Show full descriptionThe town of Warren on the Lower Macquarie River in the state of New South Wales has a population of about 3,500 and is protected from flooding by a system of levees. Surrounding the southern section of the town is a 6km long levee and surrounding the northern side a 3km levee The Audit is designed to appraise the flood security and structural adequacy of the levee system at Warren. This report presents the results of the audit and consists of a visual appraisal of the levee and materials, assessment of the water retention capacity of the levee, research of flood records and appraisal of the cost of corrective action and extent of such action.

  17. HealthStats NSW

    • data.nsw.gov.au
    pdf, website link
    Updated Dec 20, 2021
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    NSW Ministry of Health (2021). HealthStats NSW [Dataset]. https://data.nsw.gov.au/data/dataset/health-statistics-nsw
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    website link, pdfAvailable download formats
    Dataset updated
    Dec 20, 2021
    Dataset provided by
    New South Wales Ministry of Healthhttps://www.health.nsw.gov.au/
    Area covered
    New South Wales
    Description

    HealthStats NSW is a ‘one-stop-shop’ public website bringing together data from many sources to produce statistical information about the health of the NSW population. Users can view and download data and select indicators to produce tailored reports that provide insights into a wide range of health determinants and outcomes, including:

    • the health status of the NSW population • health inequalities and the determinants of health • the major causes of disease and injury and current health challenges • trends in health and comparisons between age groups and geographic locations.

    The data in HealthStats NSW cover a range of health risk factors, diseases, locations, and specific populations.

  18. d

    cities administrative division New South Wales

    • deepfo.com
    csv, excel, html, xml
    Updated Feb 2, 2025
    + more versions
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    Deepfo.com by Polyolbion SL, Barcelona, Spain (2025). cities administrative division New South Wales [Dataset]. https://deepfo.com/en/most/ciudades-divison-administrativa-Nueva-Gales-del-Sur
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    excel, csv, xml, htmlAvailable download formats
    Dataset updated
    Feb 2, 2025
    Dataset authored and provided by
    Deepfo.com by Polyolbion SL, Barcelona, Spain
    License

    https://deepfo.com/documentacion.php?idioma=enhttps://deepfo.com/documentacion.php?idioma=en

    Area covered
    New South Wales
    Description

    cities administrative division New South Wales. name, office head of government, Mayor, image, Area, date founded, Elevation, Country, administrative division, continent, latitude, waterbody, longitude, Website, population, Demonym

  19. r

    NSW Imagery Web Service

    • researchdata.edu.au
    Updated May 29, 2025
    + more versions
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    data.nsw.gov.au (2025). NSW Imagery Web Service [Dataset]. https://researchdata.edu.au/nsw-imagery-web-service/3577170
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    Dataset updated
    May 29, 2025
    Dataset provided by
    data.nsw.gov.au
    Area covered
    New South Wales
    Description

    Access API

    NSW Imagery Web Service
    Note: Export function is for the Mosaic Index only

    Please Note
    WGS 84 service aligned to GDA94
    This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.

    The NSW Imagery web map service provides spatial imagery covering the extent of NSW. It depicts current cached imagery map of NSW which includes the following data sets:

    • LandSat 2014® satellite imagery
    • Spatial Services standard coverage ADS sensor orthorectified imagery
    • Spatial Services high resolution ADS sensor town imagery
    • Spatial Services high resolution ADS sensor project imagery
    • AAM 2012 Tweed orthorectified imagery
    • AAM 2012 Sydney conurbation 10cm GSD orthorectified imagery
    • Jacobs 2009 Upper Hunter AUSIMAGE® orthophoto imagery
    • Jacobs 2004 Queanbeyan AUSIMAGE® orthophoto imagery
    • Jacobs 2006 Yass AUSIMAGE® orthophoto imagery
    • Jacobs 2002 Goulburn AUSIMAGE® orthophoto imagery
    • Jacobs 2014 AUSIMAGE® orthophoto imagery
    • Jacobs 2016 AUSIMAGE® orthophoto imagery
    • Spookfish/Eagleview 2018 Imagery
    • Six Cities Conurbation AAM Imagery 2020-2022
    • Six Cities Conurbation Aerometrex Imagery 2021-2022

    The NSW Imagery web service provides spatial imagery covering the extent of NSW progressively from scales larger than 1:150,000 higher resolution imagery overlays lower resolution imagery and most recent imagery overlays older imagery within each resolution.

    This product has been produced to identify visible land cover features and terrain to support Spatial Services along with local and state government programs, including Emergency Services. This product is used on a whole of government basis as a visible record of the landscape at a given point in time.

    This web service allows users to easily integrate the Imagery coverage for NSW into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.

    Imagery provides an analytical source and contextual background for decision making and supports multiple applications including:

    • mapping
    • emergency services
    • sustainable human and land use development
    • geosciences
    • natural resource management

    The NSW Imagery web service provides access to accurate, authoritative and timely aerial imagery of NSW.

    This service ensures users are able to consume spatial imagery without the requirement of hosting the imagery files on their own servers. The Imagery cache is maintained by Spatial Services and is an output of Spatial Services’ imagery collection and maintenance program.

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  20. M

    Newcastle-Maitland, Australia Metro Area Population (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
    + more versions
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    MACROTRENDS (2025). Newcastle-Maitland, Australia Metro Area Population (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/cities/206177/newcastle-maitland/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 1, 1950 - Jun 19, 2025
    Area covered
    Australia
    Description

    Chart and table of population level and growth rate for the Newcastle-Maitland, Australia metro area from 1950 to 2025.

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Link copied
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Revenue NSW (2024). First Home Benefits - Top 20 NSW suburbs and towns (last 12 months) [Dataset]. https://data.nsw.gov.au/data/dataset/first-home-benefits-top-20-nsw-suburbs-and-towns-last-12-months
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First Home Benefits - Top 20 NSW suburbs and towns (last 12 months)

Explore at:
xls(78774)Available download formats
Dataset updated
Jul 11, 2024
Dataset provided by
Revenue NSWhttp://www.revenue.nsw.gov.au/
License

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

Area covered
New South Wales
Description

First home benefits received for top 20 NSW suburbs and towns - last 12 months.

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