Data

2022 Heat Vulnerability Index for the Greater Sydney Region

data.nsw.gov.au
NSW Department of Planning, Housing and Infrastructure (Owner)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/2022-heat-vulnerability-index-for-the-greater-sydney-region&rft.title=2022 Heat Vulnerability Index for the Greater Sydney Region&rft.identifier=http://data.nsw.gov.au/data/dataset/2022-heat-vulnerability-index-for-the-greater-sydney-region&rft.publisher=data.nsw.gov.au&rft.description=Data Quality Statement2022 Heat Vulnerability Index Dataset Methodology Report2022 Heat Vulnerability Index for Greater Sydney Geodatabase2022 Heat Vulnerability Index for Greater Sydney Geopackage2022 Heat Vulnerability Index Tabular Data2022 Heat Vulnerability Index for Greater Sydney MetadataLand Surface Temperature for Greater Sydney Summer 2022-2023Metadata for Greater Sydney LST Summer 2022-2023Esri REST ServiceThe 2022 Heat Vulnerability Index (HVI) for Greater Sydney aims to combine information on urban heat, built form and population demographics to provide a fine-grained understanding of the spatial distribution of heat vulnerable populations.\r\n\r\nThe Index combines indicators of heat exposure, sensitivity to heat, and adaptive capacity to produce the composite vulnerability index. The 2022 HVI dataset is built upon the methodology established in the creation of the 2016 Sydney HVI dataset (Sun et al 2018), integrating land cover, urban heat, and demographic data, aggregated to Statistical Area Level 1 (SA1) of the Australian Statistical Geography Standard (ASGS) produced by the Australian Bureau of Statistics (ABS).\r\n\r\nBroad comparisons can be made between the 2022 and 2016 HVI datasets, however there are multiple factors that may limit direct comparability over time. This includes variations in underlying datasets, the relative nature of the HVI, and the change in size of the study area between 2016 and 2022. When undertaking comparison it is recommended to examine the changes in the underlying datasets and the absolute values of the heat exposure, sensitivity and adaptive capacity indicators. This approach helps to explain the variations in HVI and informs effective heat mitigation strategies.\r\n\r\nThe 2022 HVI is most useful at the SA1 scale. It is not recommended to aggregate the HVI dataset to larger scales (i.e. average HVI for a suburb or LGA). Aggregating spatially specific and individual data to geographic areas smooths out local variation, losing locational specificity and population variation. In cases where individual human exposure is of concern, this may either increase or decrease the representation of the actual exposure of a given individual, causing the neighbourhood effect averaging problem (NEAP) (Kwan 2018).\r\n\r\nPlease refer to the methodology report for more information.&rft.creator=Anonymous&rft.date=2025&rft.coverage=150.16937,-34.48392 150.16937,-33.46811 151.52,-33.46811 151.52,-34.48392 150.16937,-34.48392&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=adaptation&rft_subject=canopy cover&rft_subject=climate change&rft_subject=heat&rft_subject=heat vulnerability&rft_subject=liveability&rft_subject=mitigation&rft_subject=population&rft_subject=risk&rft_subject=urban heat&rft_subject=urban heat island&rft_subject=vegetation&rft_subject=vulnerability&rft.type=dataset&rft.language=English Access the data

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Brief description

The 2022 Heat Vulnerability Index (HVI) for Greater Sydney aims to combine information on urban heat, built form and population demographics to provide a fine-grained understanding of the spatial distribution of heat vulnerable populations.

The Index combines indicators of heat exposure, sensitivity to heat, and adaptive capacity to produce the composite vulnerability index. The 2022 HVI dataset is built upon the methodology established in the creation of the 2016 Sydney HVI dataset (Sun et al 2018), integrating land cover, urban heat, and demographic data, aggregated to Statistical Area Level 1 (SA1) of the Australian Statistical Geography Standard (ASGS) produced by the Australian Bureau of Statistics (ABS).

Broad comparisons can be made between the 2022 and 2016 HVI datasets, however there are multiple factors that may limit direct comparability over time. This includes variations in underlying datasets, the relative nature of the HVI, and the change in size of the study area between 2016 and 2022. When undertaking comparison it is recommended to examine the changes in the underlying datasets and the absolute values of the heat exposure, sensitivity and adaptive capacity indicators. This approach helps to explain the variations in HVI and informs effective heat mitigation strategies.

The 2022 HVI is most useful at the SA1 scale. It is not recommended to aggregate the HVI dataset to larger scales (i.e. average HVI for a suburb or LGA). Aggregating spatially specific and individual data to geographic areas smooths out local variation, losing locational specificity and population variation. In cases where individual human exposure is of concern, this may either increase or decrease the representation of the actual exposure of a given individual, causing the neighbourhood effect averaging problem (NEAP) (Kwan 2018).

Please refer to the methodology report for more information.

Full description

Data Quality Statement
2022 Heat Vulnerability Index Dataset Methodology Report
2022 Heat Vulnerability Index for Greater Sydney Geodatabase
2022 Heat Vulnerability Index for Greater Sydney Geopackage
2022 Heat Vulnerability Index Tabular Data
2022 Heat Vulnerability Index for Greater Sydney Metadata
Land Surface Temperature for Greater Sydney Summer 2022-2023
Metadata for Greater Sydney LST Summer 2022-2023
Esri REST Service

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150.16937,-34.48392 150.16937,-33.46811 151.52,-33.46811 151.52,-34.48392 150.16937,-34.48392

150.844685,-33.976015

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