\u00a0 Access API
NSW Administrative Boundaries Theme \u2013 State Electoral District
Please\nNote
WGS 84 service\naligned to GDA94
\nThis dataset has spatial reference [WGS 84 \u2248 GDA94] which may result in\nmisalignments when viewed in GDA2020 environments. A similar service with a\n\u2018multiCRS\u2019 suffix is available which can support GDA2020, GDA94 and WGS 84 \u2248\nGDA2020 environments.
\nIn due course, and allowing time for user feedback and testing, it is intended\nthat the original service name will adopt the new multiCRS functionally.
NSW State Electoral District is a dataset within the NSW\u202fAdministrative boundaries theme (FSDF). It represents current NSW electoral boundaries which were formalised in the 2021 electoral redistribution and enacted in the 2023 NSW state election.
The Electoral District boundary aligns to, or is relevant to, the cadastral line data or topographic data features which form, by definition, the boundaries between adjoining electorates.
The Electoral Commission NSW is responsible for this dataset. Any changes that occur to the dataset should have a reference in the authority of reference feature class in the\u202fAdministrative boundaries theme.
Spatial Services maintain this dataset relative to the NSW Digital Cadastral Dataset. That is, if cadastral boundaries are upgraded to better align to property boundaries shown on original survey plans, State Electoral Districts are also moved to reflect this improved spatial accuracy.
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\nMetadata
| \n Type \n | \n \n Esri Feature\n Service \n | \n
| \n Update\n Frequency \n | \n \n As\n required \n | \n
| \n Contact\n Details \n | \n \n Contact us\n via the Spatial Services Customer Hub \n | \n
| \n Relationship\n to Themes and Datasets \n | \n \n Administrative\n Boundaries Theme of the Foundation Spatial Data Framework (FSDF) \n | \n
| \n Accuracy \n | \n \n The dataset\n maintains a positional relationship to, and alignment with, the Lot and\n Property digital datasets. This dataset was captured by digitising the best\n available cadastral mapping at a variety of scales and accuracies, ranging\n from 1:500 to 1:250 000 according to the National Mapping Council of\n Australia, Standards of Map Accuracy (1975). Therefore, the position of the\n feature instance will be within 0.5mm at map scale for 90% of the\n well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m,\n 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional\n upgrade (accuracy improvement) is currently underway. \n | \n
| \n Spatial\n Reference System | \n \n Geocentric\n Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) \n | \n
| \n Spatial\n Reference System\u202f\u202f\u202f | \n \n EPSG 4326:\n WGS 84 Geographic 2D \n | \n
| \n WGS 84\n Equivalent To \n | \n \n GDA94 &\n GDA2020 \n | \n
| \n Spatial\n Extent \n | \n \n Full\n State \n | \n
| \n Standards\n and Specifications \n | \n \n Open\n Geospatial Consortium (OGC) implemented and compatible for consumption by\n common GIS platforms. Available as either cache or non-cache, depending on\n client use or requirement. \nInformation\n about the Feature Class and Domain Name descriptions for the NSW\n Administrative Boundaries Theme can be found in the NSW\n Cadastral Delivery Model Data Dictionary A Spatial\n Join is a GIS operation that affixes data from one feature\n layer\u2019s attribute table to another from a spatial perspective. | \n
| \n Distributors \n | \n \n Customer Experience & Insights,\n DCS Spatial Services | \n
| \n Dataset\n Producers and Contributors \n | \n \n DCS Spatial\n Services | \n