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 2 (SA2)
SA2s are geographic units used in the Australian Statistical Geography Standard (ASGS). Built from SA1s, they are designed to represent communities with shared social and economic interactions. There are 2,473 SA2s across Australia, including special codes for populations without fixed locations. SA2s are commonly used for publishing non-Census ABS statistics such as health and population estimates, and they form the basis for SA3s and other regional structures like Significant Urban Areas and Tourism Regions.
Full description
ASGS SA2 2021 - MMM 2023 - ASGS SA2 2021 - MMM 2023.xlsx provides a mapping between Statistical Area Level 2 (SA2) regions and their corresponding Modified Monash Model (MMM) 2023 classifications. The MMM is used to define the remoteness of Australian locations (MM 1 = major cities, MM 7 = very remote), supporting health workforce planning, especially for rural and remote areas. SA2s are medium-sized geographic units in the Australian Statistical Geography Standard (ASGS), designed to represent communities with shared social and economic characteristics. There are 2,473 SA2s across Australia, and this file shows how each SA2 is classified under the MMM 2023 system, including cases where an SA2 overlaps multiple MMM categories. Subjects
ASGS |
Geographical Classification System |
MMM |
MMM 2023 |
Modified Monash Model |
Remoteness Area |
SA2 2021 |
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Identifiers
- Local : asgs-sa2-2021-modified-monash-model-2023
- URI : data.gov.au/data/dataset/f9390854-92c0-4b76-b4ae-ea9ce67073e0
