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Australian National Accounts: Distribution of Household Income, Consumption and Wealth methodology

Latest release
Reference period
2021-22 financial year

Overview of methodology for individual data points

The methodology used to compile the data in this release is based on the method (summarised below) in the Information Paper: Australian National Accounts, Distribution of Household Income, Consumption and Wealth, 2009-10.

All distributional data points in the release are benchmarked to current price household estimates for income, consumption and wealth from the Australian System of National Accounts, 2021-22.

For biennial years 2003-04 to 2019-20, estimates are distributed for five household distributional indicators based on ABS household surveys:

  • Survey of Income and Housing (SIH) – biennial years from 2003-04 to 2019-20
  • ABS Household Expenditure Survey (HES) – 2003-04, 2009-10 and 2015-16

The five household distributional indicators are: main source of income; equivalised disposable income quintiles; household composition; age of household reference person; and equivalised net wealth quintiles.

Estimates for non-profit institutions serving households (NPISH) included in the household sector in Australian System of National Accounts (ASNA) are removed.

The household national accounts estimates for a particular year (macro) and the corresponding ABS household survey estimates (micro) were compared and coverage ratios (micro/macro) calculated. For some items, the macro and/or micro estimates were adjusted to derive the most relevant common scope for comparison. The corresponding micro household items were sub sectored into the following household groups: main source of income; equivalised disposable income quintiles; household composition; age of household reference person; and equivalised net worth quintiles.

The ASNA household components and aggregates were distributed to the five household groups:

  • directly using the distribution of the equivalent micro component when the coverage ratio was considered adequate, for example, social assistance benefits
  • indirectly by a related micro distribution when there was no direct micro distribution information for the national accounts item, for example the national accounts item non-life insurance claims were distributed using the micro distribution for total insurance premiums paid
  • indirectly by creating a micro distribution ('synthesised') based on related micro distribution, for example, synthesised micro distribution was created for the national accounts item financial intermediation services indirectly measured (FISIM) for consumer loans
  • by the corresponding aggregate distribution for income (disposable income), consumption (final consumption expenditure), assets (total assets) and liabilities (total liabilities), when micro distributions either directly or indirectly are not available. For these national accounts items, the inclusion or exclusion of the item did not impact on the distribution of the national accounts aggregates

Very remote communities (VRC) and people living in non-private dwellings (NPD) populations that were out of scope of the micro surveys were excluded from the ASNA estimates and distributed separately using data from the 2006, 2011 and 2016 ABS Census of Population and Housing. These distributions were then added to the ASNA distributions based on the micro surveys to obtain the final distribution of the ASNA household income, consumption and wealth estimates.

For 2020-21 and 2021-22, the release includes extrapolated and modelled estimates for household distributional data for income, consumption and wealth for household indicators equivalised disposable income quintiles and age of household reference person. The models use unit record data from SIH 2017-18 and 2019-20 plus administrative data sources from government agencies and other ABS collections. For full list of sources used in the models, see the ‘Recent year models’ section below.

The October 2014, November 2015 and July 2021 issues describe improvements to the original method, which include:

  • models used to estimate gaps in micro distributional data, interpolation and extrapolation
  • improvements to specific coverage (micro/macro) ratios
  • method in the construction of a time series
  • how data captures demographic shifts
  • strength and weakness of the time series
  • incremental improvements to the original method

Users are encouraged to refer to these releases to obtain a complete understanding of the methodology.

Time series presentation

Periodicity

Time series presented in this release:

  • household income, consumption, gross saving and wealth from 2003-04 to 2019-20 (biennial), 2020-21 and 2021-22 for equivalised disposable income quintiles and age of household reference person
  • household income, consumption, gross saving and wealth from 2003-04 to 2019-20 (biennial) for household groups: main source of income; equivalised disposable income quintiles; household composition; age of household reference person; and equivalised net worth quintiles

The release includes 13 data tables:

  • current price household estimates for income, consumption and wealth distributed by main source of income; equivalised income quintiles; household composition; age of reference person in household; and equivalised net worth quintiles (Table 1)
  • share of total household estimates for income, consumption and wealth distributed by main source of income; equivalised income quintiles; household composition; age of reference person in household; and equivalised net worth quintiles (Table 2)
  • that analyse how household distributional groups have contributed to total growth of income, consumption and wealth. The table includes demographic shifts such as the increase in the number of households in a particular household group, as they are an important driver to total growth (Table 9)
  • that remove demographic shifts; the method used in this release is dollars per household (Tables 3 and 4)
  • that analyse per household growth in income, consumption and wealth (Table 10)
  • that analyse contributions by component (income, consumption and net worth) to a household group's per household growth of gross disposable income, household final consumption expenditure, net worth and actual final consumption (Tables 5 to 8)
  • that analyse the impacts of redistribution policies such as income tax, social assistance benefits and social transfers in kind, and the effectiveness of the policies over time (Table 11)
  • coverage ratios of micro and macro estimates (Table 12)
  • separation of the financial intermediation services indirectly measured (FISIM) component of interest receivable and interest payable (Table 13)

Specifically, in this release:

  • Tables 1,2,3,4 and 11 include estimates for income, consumption, gross saving and wealth for 2020-21 and 2021-22 for equivalised disposable income quintiles and age of household reference person. Tables do not include any estimates for 2020-21 and 2021-22 by household indicators main source of income, household composition, and equivalised net wealth quintiles
  • Tables 5,6,7,8,9 and 10 include analysis for all relevant items by all household indicators biennially and for the total 16-year period (2003-04 to 2019-20)
  • Tables 5,6,7,8,9 and 10 include analysis for equivalised disposable income quintiles and age of household reference person for 2019-20 to 2020-21 and 2020-21 to 2021-22 and for 2003-04 to 2020-21 and 2003-04 to 2021-22 for relevant income items, consumption items, gross saving and wealth items

Table 1 shows the availability of the micro source data used to construct the 2003-04 to 2019-20 data points.

Table 1: Availability of micro source data
Micro source data2003-042005-062007-082009-102011-122013-142015-162017-182019-20
SIH - IncomeAAAAAAAAA
SIH - WealthAANAAAAAAA
Social Transfers in KindANANAAAAANANA
HES - ConsumptionANANAANANAANANA

A = Available
NA = Not available

Models used to estimate data gaps in micro distributional data

Two options of linear interpolation (extrapolation) were considered for this release:

  1. three data point linear trend interpolation (extrapolation)
  2. two data point average growth rate of the total household micro estimate, with the average growth applied to the average share over three data points of the household indicator (e.g., quintiles)

Both option (1) and (2) are simple methodologies, and work effectively if the historical data is stable over time and there are not large fluctuations between shares of the various indicators over time.

Option (1) was applied to interpolate (extrapolate) the micro distributional indicators for consumption for the years 2005-06, 2007-08, 2011-12, 2013-14, 2017-18 from HES. In general, it is assumed that consumption patterns of households tend to be relatively stable over time, and this method has the advantage of capturing the systematic pattern (i.e. movements up or down) of distributional information over time. The method for deriving estimates for 2019-20, 2020-21 and 2021-22 are discussed below.

Option (2) was applied to SIH to interpolate (extrapolate) the micro distributional indicators for wealth for the year 2007-08; social transfers in kind (STiK) for the years 2005-06, 2007-08 and 2019-20. This method has the advantage of not generating negative values, works adequately for when the distributed pattern is not linear over time and assumes that the shares of the distributional indicators are stable over time.

Census data is used to construct the distributional data for the VRC and NPD populations. Option (1) was applied to interpolate (extrapolate) Census data for the years 2003-04, 2007-08, 2009-10 and 2013-14. Census 2016 was used for 2015-16, 2017-18 and 2019-20. The total disposable income, total consumption and total net worth estimates for the NPD and VRC populations were approximately 3% of the total Australian aggregates of income, consumption and net worth for all data points. The impact of the methodology chosen to interpolate (extrapolate) would be minimal on the final Australian National Accounts distributional estimates.

Recent year models

Household Final Consumption Expenditure (HFCE)

Shares for all categories of HFCE were held relatively constant to 2017-18 for 2019-20, 2020-21 and 2021-22, whilst also factoring in growth in the number of households within each indicator type. Extrapolating estimates using option (1) is only suitable when consumption patterns of households are assumed to be relatively stable over time. The impacts of COVID-19 pandemic on consumption made this assumption no longer valid from 2019-20 onwards.

Income and Wealth

Micro indicators were used to inform adjustments to extrapolated estimates for 2020-21 and 2021-22. The micro indicators were derived by integrating 2017-18 and 2019-20 SIH Micro Unit Record File (MURF) data with other data sources such as:

MURF data allows multiple matrices to be created that cross classify distributional indicators for various items (e.g., social benefit payments received by age of person and income quintile, employee income by income quintile by industry of employment and by age of person).

The matrices were used to model distributional impacts of economic events during the year (e.g., social assistant benefits, compensation of employees) by applying data from other sources (e.g., the number of pension recipients by age and type of pension from DSS, employee wages by industry from national accounts) to the MURF matrices.

Additional coherence adjustments were applied to align with economic information from external reports and from experts across ABS national account teams.

Number of households in population

For 2020-21 and 2021-22, the number of households in the population were estimated using Census data. For years up to 2019-20, the number of households is directly from the Survey of Income and Housing (SIH). The estimated number of households in 2020-21 was derived by:

  1. Calculating the 5-year growth rate in the number of households between the 2016 Census and 2021 Census
  2. The derivation of the number of households in 2020-21 replicated the 5-year growth rate of the Census data to the SIH household count data between 2015-16 and 2020-21.

The growth rate in the number of households between 2019-20 and the number of households in 2020-21 (both on a SIH basis) was used to derive the number of households in 2021-22. That is, a constant growth rate was assumed for 2019-20 to 2020-21, and 2020-21 to 2021-22. The proportion of households in each group (for equivalised income quintiles and age of reference) for both 2020-21 and 2021-22 were held constant to 2019-20.

Changing demographics over time

When distributional data across different years is compared, it is important to note that the change in the estimate is impacted by (a) changes in the household's income (consumption and wealth) and (b) change due to more households in the distributional group. To assist users to understand these demographic changes, Table 2 shows the proportion of households in each group over time.

Table 2: Proportion of households, by household indicator
 2003-
04
2005-
06
2007-
08
2009-
10
2011-
12
2013-
14
2015-
16
2017-
18
2019-
20
2020-
21
2021-
22
Total Number of Households79545858160856832781986648578912564904858392461919554317100169721010672410197302
Main Source of Income (%)           
 Wages & salaries56.057.660.159.559.858.959.359.560.5NANA
 Income from unincorporated business8.18.08.27.87.38.67.78.07.3NANA
 Property income & superannuation8.68.88.47.98.58.59.28.18.8NANA
 Government pensions & allowances26.024.322.023.723.322.622.622.722.1NANA
 Other1.31.31.31.11.11.41.21.61.4NANA
Household Composition (%)           
 Lone person under 6516.416.616.116.115.715.215.014.614.7NANA
 Lone person 65 & over10.710.810.610.310.811.111.511.912.3NANA
 One parent with dependent children6.76.76.06.25.75.85.55.25.9NANA
 Couple only, reference person under 6517.216.817.216.916.215.915.115.115.2NANA
 Couple only, reference person 65 & over8.38.38.68.69.09.29.89.910.5NANA
 Two adults or more with dependent children27.226.426.826.826.827.528.228.327.4NANA
 Other13.614.414.715.115.915.214.915.114.0NANA
Age of Reference Person (years) (%)           
 15-244.55.04.64.24.13.83.53.23.23.23.2
 25-3417.817.216.316.416.016.416.016.315.715.715.7
 35-4421.721.120.120.219.518.918.518.118.718.718.7
 45-5420.219.920.219.919.919.919.519.218.418.418.4
 55-6414.715.616.417.117.517.117.317.417.517.517.5
 65+21.121.222.322.223.023.925.225.826.526.526.4
Equivalised Disposable Income Quintiles (%)           
 Lowest20.920.920.920.921.021.020.920.920.820.820.8
 Second20.220.220.120.120.020.020.220.120.120.120.1
 Third19.719.719.719.719.719.719.719.719.719.719.7
 Fourth19.619.619.619.619.619.619.619.619.619.619.6
 Highest19.619.619.719.719.719.719.719.719.719.719.7
Equivalised Disposable Net Worth Quintiles (%)           
 Lowest20.920.920.920.921.021.020.920.920.8NANA
 Second20.220.220.120.120.020.020.120.120.1NANA
 Third19.719.719.719.719.719.719.719.719.7NANA
 Fourth19.619.619.619.619.619.619.619.619.6NANA
 Highest19.619.619.719.719.719.719.719.719.7NANA

NA = Not available

Revisions

Revisions of estimates from the previous release are due to:

Glossary

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Abbreviations

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