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 Statistical Area Level 2 (SA2 2021). SA2s are defined by the Australian Statistical Geography Standard (ASGS) Edition 3.

Key Attributes:

      Field alias
      Field name
      Description


      Statistical Areas Level 2 2021 code
      SA2_CODE_2021
      2021 Statistical Areas Level 2 (SA2) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. SA2s are medium-sized general purpose areas built to represent communities that interact together socially and economically. 


        Statistical Areas Level 2 2021 name
      SA2_NAME_2021
      2021 Statistical Areas Level 2 (SA2) names from the Australian Statistical Geography Standard (ASGS), Edition 3. SA2s are medium-sized general purpose areas built to represent communities that interact together socially and economically. 


      Area in square kilometres
      AREA_ALBERS_SQKM
      The area of a region in square kilometres, based on the Albers equal area conic projection.


      Uniform Resource Identifier
      ASGS_LOCI_URI_2021
      A uniform resource identifier can be used in web linked applications for data integration. 


      IHAD quartile 1
      IHAD_QUARTILE1
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 1, indicating relatively greater disadvantage and a lack of advantage in general.


      IHAD quartile 2
      IHAD_QUARTILE2
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 2.


      IHAD quartile 3
      IHAD_QUARTILE3
      Proportion of in-scope dwellings in the SA2 that fall into IHAD quartile 3.


      IHAD quartile 4
      IHAD_QUARTILE4
      Proportion of in-scope dwellings in the SA2 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 SA2s are ordered from lowest to highest score, the lowest 25% of SA2s are given a quartile number of 1, the next lowest 25% of SA2s are given a quartile number of 2 and so on, up to the highest 25% of SA2s which are given a quartile number of 4. This means that SA2s are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of SA2s 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.

Please note: Proportional totals may equal more than 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, 2021 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.

This dataset presents information from 2016 at the household level; the percentage of households within each Index of Household Advantage and Disadvantage (IHAD) quartile for Statistical Area Level 3 (SA3) 2016 boundaries.

The IHAD is an experimental analytical index developed by the Australian Bureau of Statistics (ABS) that provides a summary measure of relative socio-economic advantage and disadvantage for households. It utilises information from the 2016 Census of Population and Housing.

IHAD quartiles: All households are ordered from lowest to highest disadvantage, 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 up into four groups, depending on their score.

This data is ABS data (catalogue number: 4198.0) used with permission from the Australian Bureau of Statistics.

For more information please visit the Australian Bureau of Statistics.

Please note:

• AURIN has generated this dataset through aggregating the original SA1 level data (with calculated number of households/quartile) to SA3 level.

• The number of occupied private dwellings, and number of households in each of the IHAD quartiles for each SA3 were calculated by aggregating the values of each of those specified columns from the SA1 dataset. Percentages of households in each of the IHAD quartiles were calculated for each SA3 from these aggregated totals.

• A household is defined as one or more persons, at least one of whom is at least 15 years of age, usually resident in the same private dwelling. All occupants of a dwelling form a household. For Census purposes, the total number of households is equal to the total number of occupied private dwellings (Census of Population and Housing: Census Dictionary, 2016 cat. no. 2901.0).

• IHAD output has been confidentialised to meet ABS requirements. In line with standard ABS procedures to minimise the risk of identifying individuals, a technique has been applied to randomly adjust cell values of the output tables. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

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 Statistical Area Level 1 (SA1 2021). SA1s are defined by the Australian Statistical Geography Standard (ASGS) Edition 3.

Key Attributes:

      Field alias
      Field name
      Description


      Statistical Areas Level 1 2021 code
      SA1_CODE_2021
      2021 Statistical Areas Level 1 (SA1) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. SA1s are designed to maximise the geographic detail available for Census of Population and Housing data while maintaining confidentiality.


        Statistical Areas Level 1 2021 name
      SA1_NAME_2021
      2021 Statistical Areas Level 1 (SA1) names from the Australian Statistical Geography Standard (ASGS), Edition 3. SA1s are designed to maximise the geographic detail available for Census of Population and Housing data while maintaining confidentiality.


      Area in square kilometres
      AREA_ALBERS_SQKM
      The area of a region in square kilometres, based on the Albers equal area conic projection.


      Uniform Resource Identifier
      ASGS_LOCI_URI_2021
      A uniform resource identifier can be used in web linked applications for data integration. 


      IHAD quartile 1
      IHAD_QUARTILE1
      Proportion of in-scope dwellings in the SA1 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 SA1 that fall into IHAD quartile 2.


      IHAD quartile 3
      IHAD_QUARTILE3
      Proportion of in-scope dwellings in the SA1 that fall into IHAD quartile 3.


      IHAD quartile 4
      IHAD_QUARTILE4
      Proportion of in-scope dwellings in the SA1 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 SA1s are ordered from lowest to highest score, the lowest 25% of SA1s are given a quartile number of 1, the next lowest 25% of SA1s are given a quartile number of 2 and so on, up to the highest 25% of SA1s which are given a quartile number of 4. This means that SA1s are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of SA1s 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.

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.

This dataset presents information from 2016 at the household level; the percentage of households within each Index of Household Advantage and Disadvantage (IHAD) quartile for Local Government Area (LGA) 2017 boundaries.

The IHAD is an experimental analytical index developed by the Australian Bureau of Statistics (ABS) that provides a summary measure of relative socio-economic advantage and disadvantage for households. It utilises information from the 2016 Census of Population and Housing.

IHAD quartiles: All households are ordered from lowest to highest disadvantage, 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 up into four groups, depending on their score.

This data is ABS data (catalogue number: 4198.0) used with permission from the Australian Bureau of Statistics.

For more information please visit the Australian Bureau of Statistics.

Please note:

• AURIN has generated this dataset through aggregating the original SA1 level data (with calculated number of households/quartile) to LGA level.

• Aggregation was achieved through calculating the centroid for each SA1 and assigning it to the LGA it fell within.

• The number of occupied private dwellings, and number of households in each of the IHAD quartiles were calculated for each LGA by aggregating the peviously assigned SA1 values of each of those specified columns from the SA1 dataset. Percentages of households in each of the IHAD quartiles were calculated for each LGA from these aggregated totals.

• A household is defined as one or more persons, at least one of whom is at least 15 years of age, usually resident in the same private dwelling. All occupants of a dwelling form a household. For Census purposes, the total number of households is equal to the total number of occupied private dwellings (Census of Population and Housing: Census Dictionary, 2016 cat. no. 2901.0).

• IHAD output has been confidentialised to meet ABS requirements. In line with standard ABS procedures to minimise the risk of identifying individuals, a technique has been applied to randomly adjust cell values of the output tables. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.