Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous

Geoscape Administrative Boundaries is Australia’s most comprehensive national collection of boundaries, including government, statistical and electoral boundaries. It is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.

This dataset comprises seven Geoscape products:

• Localities
• Local Government Areas (LGAs)
• Wards
• Australian Bureau of Statistics (ABS) Boundaries
• Electoral Boundaries
• State Boundaries and
• Town Points

Updated versions of Administrative Boundaries are published on a quarterly basis.

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Notable changes in the May 2025 release

• Victorian Wards have seen almost half of the dataset change now reflecting the boundaries from the 2024 subdivision review. https://www.vec.vic.gov.au/electoral-boundaries/council-reviews/ subdivision-reviews.

  • There have been spatial changes (area) greater than 1 km2 to 66 wards in Victoria.

• One new locality ‘Kenwick Island’ has been added to the local Government area ‘Mackay Regional’ in Queensland.

  • There have been spatial changes(area) greater than 1 km2 to the local government areas 'Burke Shire' and 'Mount Isa City' in Queensland.

• There have been spatial changes(area) greater than 1 km2 to the localities ‘Nicholson’, ‘Lawn Hill’ and ‘Coral Sea’ in Queensland and ‘Calguna’, ‘Israelite Bay’ and ‘Balladonia’ in Western Australia.

• An update to the NT Commonwealth Electoral Boundaries has been applied to reflect the redistribution of the boundaries gazetted on 4 March 2025.

• Geoscape has become aware that the DATE_CREATED and DATE_RETIRED attributes in the commonwealth_electoral_polygon MapInfo TAB tables were incorrectly ordered and did not match the product data model. These attributes have been re-ordered to match the data model for the May 2025 release.

IMPORTANT NOTE: correction of issues with the 22 November 2022 release

• On 28 November 2022, the Administrative Boundaries dataset originally released on 22 November 2022 was amended and re-uploaded after Geoscape identified some issues with the original data for 'Electoral Boundaries'.
• As a result of the error, some shapefiles were published in 3D rather than 2D, which may affect some users when importing data into GIS applications.
• The error affected the Electoral Boundaries dataset, specifically the Commonwealth boundary data for Victoria and Western Australia, including 'All States'.
• Only the ESRI Shapefile formats were affected (both GDA94 and GDA2020). The MapInfo TAB format was not affected.
• Because the datasets are zipped into a single file, once the error was fixed by Geoscape all of Administrative Boundaries shapefiles had to be re-uploaded, rather than only the affected files.
• If you downloaded either of the two Administrative Boundary ESRI Shapefiles between 22 November and 28 November 2022 and plan to use the Electoral Boundary component, you are advised to download the revised version dated 28 November 2022. Apologies for any inconvenience.

Further information on Administrative Boundaries, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.

Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 licence.

Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International license (CC BY 4.0).

Preferred attribution for Adapted Material:

Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

What to Expect When You Download Administrative Boundaries

Administrative Boundaries is large dataset (around 1.5GB unpacked), made up of seven themes each containing multiple layers.

Users are advised to read the technical documentation including the product change notices and the individual product descriptions before downloading and using the product.

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous

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Property boundaries represent the extent of ownership of an address in line with NSW Valuer General for the purposes of address verification and rating. The spatial layer is derived from land parcel boundaries (cadastre) originally supplied by NSW Spatial Services who remain the source of cadastral information. See SiX mapsThis spatial layer has been significantly changed and maintained by City of Sydney Spatial Services. This layer is not survey accurate.Geoservice API disabled, but geojson and download permitted.

Travel Zones (TZs) are the spatial unit of geography defined by Transport Performance and Analytics (TPA), a business unit within Transport for NSW (TfNSW). The TZ spatial layer is applied to data sources used by TfNSW for transport modelling and analysis, including the Household Travel Survey and the Census 2016 Journey to Work data.

The Australian Bureau of Statistics (ABS) Statistical Area boundaries form the foundation of the TZ. Generally, a TZ is larger than a Statistical Area Level 1 or Mesh Block, both ABS geography definitions. The ABS Statistical Areas are based on population counts whereas TZ boundaries are defined using population, employment, housing and transport infrastructure.

TZs are designed to have standardised trip generation levels across all zones. This causes zones to be different sizes across the metropolitan area. As with many other spatial boundaries, TZs tend to be small in areas with high land-use densities and larger in areas of lower density.

This dataset now includes a CSV file mapping the Transit Stop Number (TSN) to the Travel Zone (TZ16). It captures the stop name, suburb and coordinates.

Travel Zone Explorer is an interactive map where you can search for Travel Zones (TZ) and find out the current and future population in occupied private dwellings by age and sex.

Travel Zones (TZs) are the spatial unit of geography defined by Transport Performance and Analytics (TPA), a business unit within Transport for NSW (TfNSW). The TZ spatial layer is applied to data sources used by TfNSW for transport modelling and analysis, including the Household Travel Survey and the Census 2016 Journey to Work data.

The Australian Bureau of Statistics (ABS) Statistical Area boundaries form the foundation of the TZ. Generally, a TZ is larger than a Statistical Area Level 1 or Mesh Block, both ABS geography definitions. The ABS Statistical Areas are based on population counts whereas TZ boundaries are defined using population, employment, housing and transport infrastructure.

TZs are designed to have standardised trip generation levels across all zones. This causes zones to be different sizes across the metropolitan area. As with many other spatial boundaries, TZs tend to be small in areas with high land-use densities and larger in areas of lower density.

Access APINSW Features of Interest Category - Place Point Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 …Show full description Access APINSW Features of Interest Category - Place Point Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS84 = GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that these original services will adopt the new multiCRS functionally. Place point is a point feature class within the Features of interest Category. There is no overall accuracy reported in the database, however accuracy of the individual feature instances of each feature class can be found in the database tables. The currency of the feature instances in this dataset can be found in “feature reliability date” or “attribute reliability date” attributes. All feature instances in this class are attributed with a planimetric accuracy value. It is expected that the 90% of well-defined points with the same planimetric accuracy are within 0.5mm of that map scale. Depending on the capture source, capture method, digital update and control point upgrade, every feature instance reported has a positional accuracy within the range of 1m - 100m. Place Points included in the layer include: City - A centre of population, commerce and culture with all essential services; a town of significant size and importance, generally accorded the legal right to call itself a city under, either, the Local Government Act, the Crown Lands Act or other instruments. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. City data points are positioned within the cadastral parcel in which they are located. Locality - A bounded area within the landscape that has a rural character. Locality data points are positioned within the cadastral parcel in which they are located. Region - A region is a relatively large tract of land distinguished by certain common characteristics, natural or cultural. Natural unifying features could include same drainage basin, similar landforms, or climatic conditions, a special flora or fauna, or the like. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Region data points are positioned within the cadastral parcel in which they are located.Rural Place - A place, site or precinct in a rural landscape, generally of small extent, the name of which is in current use. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Rural place data points are positioned within the cadastral parcel in which they are located. Suburb - A gazetted boundary of a suburb or locality area as defined by the Geographical Names Board of NSW. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Suburb data points are positioned within the cadastral parcel in which they are located. Town - A commercial nucleus offering a wide range of services and a large number of shops, often several of the same type. Depending on size, the residential area can be relatively compact or (in addition) dispersed in clusters on the periphery. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Town data points are positioned within the cadastral parcel in which they are located. Urban Place - A place, site or precinct in an urban landscape, the name of which is in current use, but the limits of which have not been defined under the address locality program. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Urban place data points are positioned within the cadastral parcel in which they are located. Village - A cohesive populated place in a rural landscape, which may provide a limited range of services to the local area. Residential subdivisions are in urban lot sizes. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Village data points are positioned within the cadastral parcel in which they are located. MetadataType Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets Features of Interest Category of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, a range of themes from the NSW FSDF including, transport, imagery, positioning, water and land cover. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS84 Geographic 2D WGS84 Equivalent To GDA94 Spatial Extent Full state Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

The NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital Cadastral Database.

This base map includes: Roads, Points of Interest, Localities, Landform, Drainage, Cultural data, Parks and forests, Property boundaries and Street address numbers.

This web service allows users to easily integrate a NSW base map into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.This web service provides an ideal base map depicting a combined view of NSW Foundation Spatial Information for use within spatial applications and systems.

The NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital …Show full descriptionThe NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital Cadastral Database. This base map includes: Roads, Points of Interest, Localities, Landform, Drainage, Cultural data, Parks and forests, Property boundaries and Street address numbers. NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.

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Metadata Portal Metadata Information

Content Title	Cudal_202211_50mm_3DLiDARMesh_55
Content Type	Scene Layer/Scene Layer Package
Description
Initial Publication Date	DD/MM/YYYY
Data Currency	DD/MM/YYYY
Data Update Frequency	Daily, Weekly, Fortnightly, Monthly, Quarterly, Half-Yearly, Yearly, Other, API
Content Source	Website URL, API, Data provider files, Other
File Type	Scene Layer Package (*.slpk)
Attribution
Data Theme, Classification or Relationship to other Datasets
Accuracy
Spatial Reference System (dataset)	GDA94, GDA2020, WGS84, Other
Spatial Reference System (web service)	EPSG:4326, EPSG:3857, EPSG:7844, EPSG:900913, Other
WGS84 Equivalent To	GDA94, GDA2020, Other
Spatial Extent
Content Lineage
Data Classification	Business Impact Levels (BIL), Commercial, Confidential, For Office Use Only, NSW:Sensitive Law Enforcement, Protected, Secret, Sensitive:Cabinet, Sensitive:Health Information, Sensitive:Legal, Sensitive:Personal, Sensitive:NSW Cabinet, Sensitive:NSW Government, Top Secret, Unclassified
Data Access Policy	Open, Shared, Restricted, Withdrawn from Service
Data Quality
Terms and Conditions	Creative Commons, Data Sharing Agreement, Memorandum of Understanding, Restricted Licence, Standard Licence
Standard and Specification
Data Custodian
Point of Contact
Data Aggregator
Data Distributor
Additional Supporting Information
TRIM Number

• Catchments
• Flood Enveloped
• Hydraulic Categorisation
• Interim Flood Planning Area
• Provisional Flood Hazard
• Sensitivity Analysis (Post-Processed)

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<td style='width:14.0cm;border-top:none;border-left:none; border-bottom:solid #CCCCCC 1.0pt;border-right:solid #CCCCCC 1.0pt; mso-border-top-alt:solid #CCCCCC .75pt;mso-border-left-alt:solid #CCCCCC .75pt; mso-border-alt:solid #CCCCCC .75pt;padding:.75pt .75pt .75pt .75pt'

Content Title	Sydney City Council Villages Population 2011-2019
Content Type	Hosted Feature Layer
Description	Village population change from 2011 to 2019
Initial Publication Date	08/10/2021
Data Currency	08/10/2021
Data Update Frequency	Other
Content Source
File Type	Map Feature Service
Attribution
Data Theme, Classification or Relationship to other Datasets
Accuracy

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Content Title	Sydney City Council Village population changes
Content Type	Hosted Feature Layer
Description	Change in population by village
Initial Publication Date	08/10/2021
Data Currency	08/10/2021
Data Update Frequency	Other
Content Source
File Type	Map Feature Service
Attribution
Data Theme, Classification or Relationship to other Datasets
Accuracy

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In 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and remote areas according to both geographical remoteness, as defined by the Australian Bureau of Statistics, and town size. The MMM 2019 was updated on 1 July 2019 to use the latest available Australian Bureau of Statistics (2016) Census data and geography information. Health programs will begin transitioning to the new MMM from 1 January 2020. The 2019 MMM uses the following data sets: • Australian Statistical Geography Standard 2016 Statistical Area 1; and Urban Centres and Localities as the geographic bases; • Australian Statistical Geography Standard – Remoteness Area 2016 as the ABS remoteness classification (based on Accessibility and Remoteness Index of Australia (ARIA+); • Estimated Resident Population 2016; and • Public Sector Mapping Agency 2018 Australian road network.

https://data.gov.au/data/dataset/modified-monash-model-mmm-2019

http://health.gov.au/

Metadata

Type	Hosted Feature Layer
Update Frequency	Infrequently
Contact Details	Rural Distribution Section data.governance@health.gov.au
Relationship to Themes and Datasets
Accuracy	http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
Standards and Specifications	http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
Aggregators	Department of Health
Distributors	Department of Health
Dataset Producers and Contributors	Department of Health

The 2017 Landuse captures how the landscape in NSW is being used for food production, forestry, nature conservation, infrastructure and urban development. It can be used to monitor changes in the landscape and identify impacts on biodiversity values and individual ecosystems.

The NSW 2017 Landuse mapping is dated September 2017.

This is version 1.5 of the dataset, published December 2023.

Version 1.5 of the 2017 Landuse incorporates the following updates:

• Fine scale mapping of the Central Coast, Illawarra and Shoalhaven regions
• Mapping enhancements to regional centres to improve the mapping accuracy for these centres
• NSW road network based on road centreline data from Transport NSW, with standardised buffer applied to approximate the carriage width based on the road type
• Plantation type (native hardwood and softwood) information within State Forest Estates
• Horticulture data to tertiary or commodity level present in September 2017 from Australian Tree Crop Map Dashboard developed by University of New England - Applied Agricultural Remote Sensing Centre https://www.une.edu.au/research/research-centres-institutes/applied-agricultural-remote-sensing-centre/collaborative-r-and-d-opportunities/industry-applications-and-maps
• Fixes to identified errors since published version 1.2

Previous Versions *Version 1.4 internal update (not published) * Version 1.3 internal update (not published) * Version 1.2 published 24 June 2020 - Fine scale update to Greater Sydney Metropolitan Area * Version 1 published August 2019

The 2017 Landuse is based on Aerial imagery and Satellite imagery available for NSW. These include, but not limited to; digital aerial imagery (ADS) captured by NSW Department of Customer Service (DCS), high resolution urban (Conurbation) digital aerial imagery captured on behalf of DCS, SPOT 5, 6 & 7(Airbus), Planet™, Sentinel 2 (European Space Agency) and LANDSAT (NASA) Satellite Imagery. Mapping also includes commercially available imagery from Nearmap™ and Google Earth™, along with Google Street View™.

Mapping takes into consideration ancillary datasets such as tenure such as National Parks and State forests, cadastre, roads parcels, land zoning, topographic information and Google Maps, in conjunction with visual interpretation and field validation of patterns and features on the ground.

The 2017 Landuse was captured on screen using ARC GIS (Geographical Information Software) at a scale of 1:8,000 scale (or better) and features are mapped down to 2 hectares in size. Exceptions were made for targeted Landuse classes such as horticulture, intensive animal husbandry and urban environments, which were mapped at a finer scale.

The 2017 Landuse has complete coverage of NSW. It also includes updates to the fine scale Horticulture mapping for the east coast of NSW - Newcastle to the Queensland boarder and Murray-Riverina Region. This horticultural mapping includes operations to the commodity level based on field work and high-resolution imagery interpretation.

Landuse classes assigned are based on activities that have occurred in the last 5-10 years that may be part of a rotational practice. Time-series LANDSAT information has been used in conjunction with more recent Satellite Imagery to determine whether grasslands have been disturbed or subject to ongoing land management activities over the past 30 years.

The 2017 Landuse was captured on screen using ARC GIS (Geographical Information Software) at a scale of 1:8,000 scale (or better) and features are mapped down to 2 hectares in size. Exceptions were made for targeted Landuse classes such as horticulture, intensive animal husbandry and urban environments (including Greater Sydney Metropolitan region), which were mapped at a finer scale.

The reliability scale of the dataset is 1:10,000.

Mapping has been subject to a peer review and quality assurance process.

Land use information has been captured in accordance with standards set by the Australian Collaborative Land Use Mapping Program (ACLUMP) and using the Australian Land Use and Management ALUM Classification Version 8. The ALUM classification is based upon the modified Baxter & Russell classification and presented according to the specifications contained in http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification.

This product will be incorporated in the National Catchment scale land use product 2020 that will be available as a 50m raster - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) http://www.agriculture.gov.au/abares/aclump/land-use/data-download

The Department of Planning, Industry and Environment (DPIE) will continue to complete land use mapping at approximately 5-year intervals.

The 2017 Landuse product is considered as a benchmark product that can be used for Landuse change reporting. Ongoing improvements to the 2017 Landuse product will be undertaken to correct errors or additional improvements to the mapping.