From Australian Urban Research Infrastructure Network
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ABS - Small Area Demolition Approvals (LGA) Q3 2018 - Q2 2019

Created 04/05/2025

Updated 04/05/2025

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This dataset presents preliminary data on the number of dwellings approved for demolition in New South Wales, Victoria and Queensland from the September 2018 quarter to the June 2019 quarter, by Local Government Areas (LGA) 2018 boundaries. The data has been sourced from the existing Building Approvals collection, and therefore only includes dwellings which have been approved to be fully demolished by a local council or approving authority. The data does not represent actual demolitions taking place (i.e. it does not account for demolitions that were approved but did not go ahead, or for the time lag between approval and actual demolition). For more information please visit the Australian Bureau of Statistics (ABS) Explanatory Notes. The data has been sourced from the October 2020 release. AURIN has spatially enabled the original data from the ABS and has reshaped the data to represent building types along columns instead of rows.

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Additional Info

Field Value
Title ABS - Small Area Demolition Approvals (LGA) Q3 2018 - Q2 2019
Language English
Licence CC-BY-4.0
Landing Page https://devweb.dga.links.com.au/data/dataset/0aabd77f-30e8-48fd-8c55-7024e25b9a45
Remote Last Updated 06/03/2025
Contact Point
Government of the Commonwealth of Australia - Australian Bureau of Statistics
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[138.0, -39.14], [153.64, -39.14], [153.64, -9.14], [138.0, -9.14], [138.0, -39.14]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "ABS - Small Area Demolition Approvals (LGA) Q3 2018 - Q2 2019". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/au-govt-abs-abs-small-area-demo-approvals-lga18-2018q3-2019q2-lga2018

Original dataset
Dataset copies

No duplicate datasets found.