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Local area population projections dataset for Australia
A new dataset of population projections for local areas of Australia is described. The areas comprise SA3 areas of the Australian Statistical Geography Standard, which mostly range in population between 30,000 and 130,000. The projections are launched from the 2020 Estimated Resident Populations pub...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467870/ https://www.ncbi.nlm.nih.gov/pubmed/36111281 http://dx.doi.org/10.1016/j.dib.2022.108559 |
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author | Wilson, Tom Grossman, Irina Temple, Jeromey |
author_facet | Wilson, Tom Grossman, Irina Temple, Jeromey |
author_sort | Wilson, Tom |
collection | PubMed |
description | A new dataset of population projections for local areas of Australia is described. The areas comprise SA3 areas of the Australian Statistical Geography Standard, which mostly range in population between 30,000 and 130,000. The projections are launched from the 2020 Estimated Resident Populations published by the Australian Bureau of Statistics and extend out to 2035. They are available by sex and five year age group up to 80–84 with 85+ as the final age group and in five year projection intervals. The projections were prepared using the synthetic migration cohort-component model, a new model for population projections which requires much less input data than conventional projection models, and therefore involves much lower costs and production time. Despite this, a recent evaluation demonstrated respectable forecast accuracy, and greater accuracy than equivalent simple projection models producing populations by age and sex. The age-sex projections are constrained to independent age-sex national projections and local area projections of total populations. The dataset consists of local area projections for the whole of the country which is consistent in methods, input data, and projection outputs due to the use of one model. This is rare in Australia because local area projections are most commonly prepared by individual State/Territory Governments using different methods, data sources, projection assumptions (which can be influenced by State/Territory population policies), and time periods. These nationally consistent projection data should be useful for a wide range of local area planning, policy, and research purposes, such as childcare demand, school enrolments, power and water usage, aged care provision, store and business site selection, living arrangements and household projections, labour force projections, and transport modelling. |
format | Online Article Text |
id | pubmed-9467870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94678702022-09-14 Local area population projections dataset for Australia Wilson, Tom Grossman, Irina Temple, Jeromey Data Brief Data Article A new dataset of population projections for local areas of Australia is described. The areas comprise SA3 areas of the Australian Statistical Geography Standard, which mostly range in population between 30,000 and 130,000. The projections are launched from the 2020 Estimated Resident Populations published by the Australian Bureau of Statistics and extend out to 2035. They are available by sex and five year age group up to 80–84 with 85+ as the final age group and in five year projection intervals. The projections were prepared using the synthetic migration cohort-component model, a new model for population projections which requires much less input data than conventional projection models, and therefore involves much lower costs and production time. Despite this, a recent evaluation demonstrated respectable forecast accuracy, and greater accuracy than equivalent simple projection models producing populations by age and sex. The age-sex projections are constrained to independent age-sex national projections and local area projections of total populations. The dataset consists of local area projections for the whole of the country which is consistent in methods, input data, and projection outputs due to the use of one model. This is rare in Australia because local area projections are most commonly prepared by individual State/Territory Governments using different methods, data sources, projection assumptions (which can be influenced by State/Territory population policies), and time periods. These nationally consistent projection data should be useful for a wide range of local area planning, policy, and research purposes, such as childcare demand, school enrolments, power and water usage, aged care provision, store and business site selection, living arrangements and household projections, labour force projections, and transport modelling. Elsevier 2022-08-30 /pmc/articles/PMC9467870/ /pubmed/36111281 http://dx.doi.org/10.1016/j.dib.2022.108559 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Wilson, Tom Grossman, Irina Temple, Jeromey Local area population projections dataset for Australia |
title | Local area population projections dataset for Australia |
title_full | Local area population projections dataset for Australia |
title_fullStr | Local area population projections dataset for Australia |
title_full_unstemmed | Local area population projections dataset for Australia |
title_short | Local area population projections dataset for Australia |
title_sort | local area population projections dataset for australia |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467870/ https://www.ncbi.nlm.nih.gov/pubmed/36111281 http://dx.doi.org/10.1016/j.dib.2022.108559 |
work_keys_str_mv | AT wilsontom localareapopulationprojectionsdatasetforaustralia AT grossmanirina localareapopulationprojectionsdatasetforaustralia AT templejeromey localareapopulationprojectionsdatasetforaustralia |