Data

ASGS SA4 2021 - Modified Monash Model 2023

data.gov.au
Department of Health and Aged Care (Owned by)
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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.gov.au/data/dataset/d451b4b9-d4cc-4ebb-b685-33fe41593789&rft.title=ASGS SA4 2021 - Modified Monash Model 2023&rft.identifier=asgs-sa4-2021-modified-monash-model-2023&rft.publisher=data.gov.au&rft.description=ASGS SA4 2021 - MMM 2023 - This file maps 2021 Statistical Area Level 4 (SA4) regions to their 2023 Modified Monash Model (MMM) classifications. It includes SA4 codes, names, state, area, MMM category (MM 1–7), and estimated resident population. The data enables analysis of remoteness and population at the largest sub-state regional level for health workforce and regional planning, based on ABS and Department of Health standards. SA4s overlapping multiple MMM classes are detailed in separate rows.Modified Monash Model (MMM)\r\n\r\nThe Modified Monash Model (MMM) is a classification system used to define the remoteness of Australian locations, ranging from MM 1 (major cities) to MM 7 (very remote areas). It combines population size and geographic remoteness to guide health workforce planning, especially in rural and remote communities. MMM is based on the Australian Statistical Geography Standard – Remoteness Areas (ASGS-RA) and is updated after each national Census conducted by the ABS.\r\n\r\nStatistical Area Level 4 (SA4)\r\n\r\nSA4s are the largest sub-state regions used in the Australian Statistical Geography Standard (ASGS), built from SA3s. They are designed to reflect labour markets and the functional areas of capital cities, supporting the release of regional data such as the Quarterly Labour Force Survey. There are 108 SA4s across Australia, including special codes for mobile or unlocated populations. SA4s aggregate to form Greater Capital City Statistical Areas and States/Territories.&rft.creator=Department of Health and Aged Care&rft.date=2025&rft_rights=Creative Commons Attribution 2.5 Australia http://creativecommons.org/licenses/by/2.5/au/&rft_subject=ASGS&rft_subject=Geographical Classification System&rft_subject=MMM&rft_subject=MMM 2023&rft_subject=Modified Monash Model&rft_subject=Remoteness Area&rft_subject=SA4 2021&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 2.5 Australia
http://creativecommons.org/licenses/by/2.5/au/

Brief description

Modified Monash Model (MMM)

The Modified Monash Model (MMM) is a classification system used to define the remoteness of Australian locations, ranging from MM 1 (major cities) to MM 7 (very remote areas). It combines population size and geographic remoteness to guide health workforce planning, especially in rural and remote communities. MMM is based on the Australian Statistical Geography Standard – Remoteness Areas (ASGS-RA) and is updated after each national Census conducted by the ABS.

Statistical Area Level 4 (SA4)

SA4s are the largest sub-state regions used in the Australian Statistical Geography Standard (ASGS), built from SA3s. They are designed to reflect labour markets and the functional areas of capital cities, supporting the release of regional data such as the Quarterly Labour Force Survey. There are 108 SA4s across Australia, including special codes for mobile or unlocated populations. SA4s aggregate to form Greater Capital City Statistical Areas and States/Territories.

Full description

ASGS SA4 2021 - MMM 2023 - This file maps 2021 Statistical Area Level 4 (SA4) regions to their 2023 Modified Monash Model (MMM) classifications. It includes SA4 codes, names, state, area, MMM category (MM 1–7), and estimated resident population. The data enables analysis of remoteness and population at the largest sub-state regional level for health workforce and regional planning, based on ABS and Department of Health standards. SA4s overlapping multiple MMM classes are detailed in separate rows.

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