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Layer: LGA_IHAD_2021 (ID:0)

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Name: LGA_IHAD_2021

Display Field: lga_name_2021

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: The Index of Household Advantage and Disadvantage (IHAD) provides a summary measure of relative socio-economic advantage and disadvantage for households, based on the characteristics of dwellings and the people living within them, using 2021 Census data. All in-scope households are ordered from lowest to highest score. A low score indicates relatively greater disadvantage and a lack of advantage in general. A high score indicates a relative lack of disadvantage and greater advantage in general. This dataset presents IHAD data in quartiles. The lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of households as it depends on the distribution of the IHAD scores. The data is grouped by Local Government Area (LGA 2021). LGAs are defined by the Australian Statistical Geography Standard (ASGS) Edition 3. Key Attributes: Field alias Field name Description Local Government Areas 2021 code LGA_CODE_2021 2021 Local Government Area (LGA) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. ABS LGAs are an ABS Mesh Block approximation of gazetted local government boundaries as defined by each state and territory. ABS approximations of LGA boundaries do not match official legal boundaries exactly. Local Government Areas 2021 name LGA_NAME_2021 2021 Local Government Area (LGA) names from the Australian Statistical Geography Standard (ASGS), Edition 3. ABS LGAs are an ABS Mesh Block approximation of gazetted local government boundaries as defined by each state and territory. ABS approximations of LGA boundaries do not match official legal boundaries exactly. Area in square kilometres AREA_ALBERS_SQKM The area of a region in square kilometres, based on the Albers equal area conic projection. IHAD quartile 1 IHAD_QUARTILE1 Proportion of in-scope dwellings in the LGA that fall into IHAD quartile 1, indicating relatively greater disadvantage and lack of advantage in general. IHAD quartile 2 IHAD_QUARTILE2 Proportion of in-scope dwellings in the LGA that fall into IHAD quartile 2. IHAD quartile 3 IHAD_QUARTILE3 Proportion of in-scope dwellings in the LGA that fall into IHAD quartile 3. IHAD quartile 4 IHAD_QUARTILE4 Proportion of in-scope dwellings in the LGA that fall into IHAD quartile 4, indicating a relative lack of disadvantage and greater advantage in general. Occupied private dwellings OPD_2021 Dwellings in-scope of the IHAD i.e. classifiable occupied private dwellings. SEIFA IRSAD quartile IRSAD_QUARTILE Index of Relative Socio-economic Advantage and Disadvantage quartile. All LGAs are ordered from lowest to highest score, the lowest 25% of LGAs are given a quartile number of 1, the next lowest 25% of LGAs are given a quartile number of 2 and so on, up to the highest 25% of LGAs which are given a quartile number of 4. This means that LGAs are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of LGAs as it depends on the distribution of SEIFA scores. Usual resident population URP_2021 Population counts in this column are based on place of usual residence as reported on Census Night. These include persons out of scope of the IHAD. Dwellings DWELLING Total dwellings at Census time, including dwellings out of scope of the IHAD e.g. unoccupied private dwellings. Summing proportions Proportional totals may not equal 100% due to rounding and random adjustments made to the data. When calculating proportions, percentages, or ratios from cross-classified or small area tables, the random error introduced can be ignored except when very small cells are involved, in which case the impact on percentages and ratios can be significant. Refer to the Introduced random error / perturbation Census page on the ABS website for more information. Data and geography references Source data publication: Index of Household Advantage and Disadvantage Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Index of Household Advantage and Disadvantage methodology Source: Australian Bureau of Statistics (ABS) Contact the Australian Bureau of Statistics Email geography@abs.gov.au if you have any questions or feedback about this web service. Subscribe to get updates on ABS web services and geospatial products. Privacy at the Australian Bureau of Statistics Read how the ABS manages personal information - ABS privacy policy.

Copyright Text: Australian Bureau of Statistics (ABS)

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Default Visibility: true

Max Record Count: 1000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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Drawing Info:

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HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeNone

Object ID Field: objectid

Unique ID Field:

Global ID Field: globalid

Type ID Field:

Fields:
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Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 7/21/2026 8:44:17 AM

Schema Last Edit Date: 8/26/2025 7:48:15 AM

Data Last Edit Date: 8/26/2025 7:40:12 AM

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