57 datasets found
  1. r

    Income Inequality (Gini Coefficients) for Australian regions

    • researchdata.edu.au
    • data.csiro.au
    Updated Mar 18, 2015
    + more versions
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    Fleming David; Measham Tom (2015). Income Inequality (Gini Coefficients) for Australian regions [Dataset]. http://doi.org/10.4225/08/55093772960E4
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    Dataset updated
    Mar 18, 2015
    Dataset provided by
    Commonwealth Scientific and Industrial Research Organisation
    Commonwealth Scientific and Industrial Research Organisation (CSIRO)
    Authors
    Fleming David; Measham Tom
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2001 - Dec 31, 2011
    Area covered
    Australia
    Description

    These data contain Gini coefficient estimates (2001 and 2011), for different regions in Australia.

    When referencing this material, please cite: Fleming, D. and Measham, T. (2015) 'Income inequality across Australian Regions during the mining boom: 2011-11'. Australian Geographer 46(2), 201-214.

  2. Distribution of wealth within age groups Australia FY 2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Distribution of wealth within age groups Australia FY 2023 [Dataset]. https://www.statista.com/statistics/1468518/australia-distribution-of-wealth-within-age-groups/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In Australia, ** percent of all national wealth was owned by the wealthiest ten percent of the population in 2023. Within the age group of 65 years or older, the wealthiest ten percent also own ** percent of the wealth, while the lowest ** percent own just ** percent.

  3. A

    Australia Gini inequality index - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jul 26, 2019
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    Globalen LLC (2019). Australia Gini inequality index - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Australia/gini_inequality_index/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1981 - Dec 31, 2018
    Area covered
    Australia
    Description

    Australia: Gini income inequality index: The latest value from 2018 is 34.3 index points, an increase from 33.7 index points in 2016. In comparison, the world average is 35.68 index points, based on data from 91 countries. Historically, the average for Australia from 1981 to 2018 is 33.52 index points. The minimum value, 31.3 index points, was reached in 1981 while the maximum of 35.4 index points was recorded in 2008.

  4. Share of national income across wealth groups Australia 2012-2022

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Share of national income across wealth groups Australia 2012-2022 [Dataset]. https://www.statista.com/statistics/1468540/australia-share-of-national-income-across-wealth-groups/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In 2022, the wealthiest top one percent of Australians held 9.9 percent of the national income. The bottom 50 percent of Australians had 17.2 percent of the national income.

  5. Australia AU: Income Share Held by Lowest 10%

    • ceicdata.com
    Updated Mar 9, 2018
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    CEICdata.com (2018). Australia AU: Income Share Held by Lowest 10% [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality
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    Dataset updated
    Mar 9, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    AU: Income Share Held by Lowest 10% data was reported at 2.700 % in 2018. This records a decrease from the previous number of 2.800 % for 2016. AU: Income Share Held by Lowest 10% data is updated yearly, averaging 2.750 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 3.000 % in 2004 and a record low of 2.600 % in 1989. AU: Income Share Held by Lowest 10% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  6. Distribution of wealth across wealth groups Australia FY 2023, by source

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Distribution of wealth across wealth groups Australia FY 2023, by source [Dataset]. https://www.statista.com/statistics/1468486/australia-distribution-of-wealth-across-wealth-groups/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In Australia, ** percent of all net wealth was owned by the wealthiest ten percent of the population in 2023. ** percent of wealth generated by real estate was held by the wealthiest ten percent, with only **** percent of the wealth being held by the lowest ** percent of the population.

  7. w

    Measuring Income Inequality (Deininger and Squire) Database 1890-1996 -...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Oct 26, 2023
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    Klaus W. Deininger and Lyn Squire (2023). Measuring Income Inequality (Deininger and Squire) Database 1890-1996 - Argentina, Australia, Austria...and 99 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/1790
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    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    Klaus W. Deininger and Lyn Squire
    Time period covered
    1890 - 1996
    Area covered
    Austria, Australia
    Description

    Abstract

    This file contains data on Gini coefficients, cumulative quintile shares, explanations regarding the basis on which the Gini coefficient was computed, and the source of the information. There are two data-sets, one containing the "high quality" sample and the other one including all the information (of lower quality) that had been collected.

    The database was constructed for the production of the following paper:

    Deininger, Klaus and Lyn Squire, "A New Data Set Measuring Income Inequality", The World Bank Economic Review, 10(3): 565-91, 1996.

    This article presents a new data set on inequality in the distribution of income. The authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups’ income shares. Comparison of the new data set with existing compilations reveals that the data assembled here represent an improvement in quality and a significant expansion in coverage, although differences in the definition of the underlying data might still affect intertemporal and international comparability. Based on this new data set, the authors do not find a systematic link between growth and changes in aggregate inequality. They do find a strong positive relationship between growth and reduction of poverty.

    Geographic coverage

    In what follows, we provide brief descriptions of main features for individual countries that are included in the data-base. Without being comprehensive, these notes are intended to indicate some of the considerations underlying our decision to include or exclude certain observations.

    Argentina Various permanent household surveys, all covering urban centers only, have been regularly conducted since 1972 and are quoted in a wide variety of sources and years, e.g., for 1980 (World Bank 1992), 1985 (Altimir 1994), and 1989 (World Bank 1992). Estimates for 1963, 1965, 1969/70, 1970/71, 1974, 1975, 1980, and 1981 (Altimir 1987) are based only on Greater Buenos Aires. Estimates for 1961, 1963, 1970 (Jain 1975) and for 1970 (van Ginneken 1984) have only limited geographic coverage and do not satisfy our minimum criteria.

    Despite the many urban surveys, there are no income distribution data that are representative of the population as a whole. References to national income distribution for the years 1953, 1959, and 1961(CEPAL 1968 in Altimir 1986 ) are based on extrapolation from national accounts and have therefore not been included. Data for 1953 and 1961 from Weisskoff (1970) , from Lecaillon (1984) , and from Cromwell (1977) are also excluded.

    Australia Household surveys, the result of which is reported in the statistical yearbook, have been conducted in 1968/9, 1975/6, 1978/9, 1981, 1985, 1986, 1989, and 1990.

    Data for 1962 (Cromwell, 1977) and 1966/67 (Sawyer 1976) were excluded as they covered only tax payers. Jain's data for 1970 was excluded because it covered income recipients only. Data from Podder (1972) for 1967/68, from Jain (1975) for the same year, from UN (1985) for 78/79, from Sunders and Hobbes (1993) for 1986 and for 1989 were excluded given the availability of the primary sources. Data from Bishop (1991) for 1981/82, from Buhman (1988) for 1981/82, from Kakwani (1986) for 1975/76, and from Sunders and Hobbes (1993) for 1986 were utilized to test for the effect of different definitions. The values for 1967 used by Persson and Tabellini and Alesina and Rodrik (based on Paukert and Jain) are close to the ones reported in the Statistical Yearbook for 1969.

    Austria: In addition to data referring to the employed population (Guger 1989), national household surveys for 1987 and 1991 are included in the LIS data base. As these data do not include income from self-employment, we do not report them in our high quality data-set.

    Bahamas Data for Ginis and shares are available for 1973, 1977, 1979, 1986, 1988, 1989, 1991, 1992, and 1993 in government reports on population censuses and household budget surveys, and for 1973 and 1975 from UN (1981). Estimates for 1970 (Jain 1975), 1973, 1975, 1977, and 1979 (Fields 1989) have been excluded given the availability of primary sources.

    Bangladesh Data from household surveys for 1973/74, 1976/77, 1977/78, 1981/82, and 1985/86 are available from the Statistical Yearbook, complemented by household-survey based information from Chen (1995) and the World Development Report. Household surveys with rural coverage for 1959, 1960, 1963/64, 1965, 1966/67 and 1968/69, and with urban coverage for 1963/64, 1965, 1966/67, and 1968/69 are also available from the Statistical yearbook. Data for 1963/64 ,1964 and 1966/67, (Jain 1975) are not included due to limited geographic coverage, We also excluded secondary sources for 1973/74, 1976/77, 1981/82 (Fields 1989), 1977 (UN 1981), 1983 (Milanovic 1994), and 1985/86 due to availability of the primary source.

    Barbados National household surveys have been conducted in 1951/52 and 1978/79 (Downs, 1988). Estimates based on personal tax returns, reported consistently for 1951-1981 (Holder and Prescott, 1989), had to be excluded as they exclude the non-wage earning population. Jain's figure (used by Alesina and Rodrik) is based on the same source.

    Belgium Household surveys with national coverage are available for 1978/79 (UN 1985), and for 1985, 1988, and 1992 (LIS 1995). Earlier data for 1969, 1973, 1975, 1976 and 1977 (UN 1981) refer to taxable households only and are not included.

    Bolivia The only survey with national coverage is the 1990 LSMS (World Development Report). Surveys for 1986 and 1989 cover the main cities only (Psacharopoulos et al. 1992) and are therefore not included. Data for 1968 (Cromwell 1977) do not refer to a clear definition and is therefore excluded.

    Botswana The only survey with national coverage was conducted in 1985-1986 (Chen et al 1993); surveys in 74/75 and 85/86 included rural areas only (UN 1981). We excluded Gini estimates for 1971/72 that refer to the economically active population only (Jain 1975), as well as 1974/75 and 1985/86 (Valentine 1993) due to lack of national coverage or consistency in definition.

    Brazil Data from 1960, 1970, 1974/75, 1976, 1977, 1978, 1980, 1982, 1983, 1985, 1987 and 1989 are available from the statistical yearbook, in addition to data for 1978 (Fields 1987) and for 1979 (Psacharopoulos et al. 1992). Other sources have been excluded as they were either not of national coverage, based on wage earners only, or because a more consistent source was available.

    Bulgaria: Data from household surveys are available for 1963-69 (in two year intervals), for 1970-90 (on an annual basis) from the Statistical yearbook and for 1991 - 93 from household surveys by the World Bank (Milanovic and Ying).

    Burkina Faso A priority survey has been undertaken in 1995.

    Central African Republic: Except for a household survey conducted in 1992, no information was available.

    Cameroon The only data are from a 1983/4 household budget survey (World Bank Poverty Assessment).

    Canada Gini- and share data for the 1950-61 (in irregular intervals), 1961-81 (biennially), and 1981-91 (annually) are available from official sources (Statistical Yearbook for years before 1971 and Income Distributions by Size in Canada for years since 1973, various issues). All other references seem to be based on these primary sources.

    Chad: An estimate for 1958 is available in the literature, and used by Alesina and Rodrik and Persson and Tabellini but was not included due to lack of primary sources.

    Chile The first nation-wide survey that included not only employment income was carried out in 1968 (UN 1981). This is complemented by household survey-based data for 1971 (Fields 1989), 1989, and 1994. Other data that refer either only to part of the population or -as in the case of a long series available from World Bank country operations- are not clearly based on primary sources, are excluded.

    China Annual household surveys from 1980 to 1992, conducted separately in rural and urban areas, were consolidated by Ying (1995), based on the statistical yearbook. Data from other secondary sources are excluded due to limited geographic and population coverage and data from Chen et al (1993) for 1985 and 1990 have not been included, to maintain consistency of sources..

    Colombia The first household survey with national coverage was conducted in 1970 (DANE 1970). In addition, there are data for 1971, 1972, 1974 CEPAL (1986), and for 1978, 1988/89, and 1991 (World Bank Poverty Assessment 1992 and Chen et al. 1995). Data referring to years before 1970 -including the 1964 estimate used in Persson and Tabellini were excluded, as were estimates for the wage earning population only.

    Costa Rica Data on Gini coefficients and quintile shares are available for 1961, 1971 (Cespedes 1973),1977 (OPNPE 1982), 1979 (Fields 1989), 1981 (Chen et al 1993), 1983 (Bourguignon and Morrison 1989), 1986 (Sauma-Fiatt 1990), and 1989 (Chen et al 1993). Gini coefficients for 1971 (Gonzalez-Vega and Cespedes in Rottenberg 1993), 1973 and 1985 (Bourguignon and Morrison 1989) cover urban areas only and were excluded.

    Cote d'Ivoire: Data based on national-level household surveys (LSMS) are available for 1985, 1986, 1987, 1988, and 1995. Information for the 1970s (Schneider 1991) is based on national accounting information and therefore excluded

    Cuba Official information on income distribution is limited. Data from secondary sources are available for 1953, 1962, 1973, and 1978, relying on personal wage income, i.e. excluding the population that is not economically active (Brundenius 1984).

    Czech Republic Household surveys for 1993 and 1994 were obtained from Milanovic and Ying. While it is in principle possible to go back further, splitting national level surveys for the former Czechoslovakia into their independent parts, we decided not to do so as the same argument could be used to

  8. Number of multi-millionaires Australia 2006-2026

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Number of multi-millionaires Australia 2006-2026 [Dataset]. https://www.statista.com/statistics/782107/australia-number-of-multi-millionaires/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    A multi-millionaire is defined as someone owning 10 million U.S. dollars or more. It was forecasted that there would be almost 18 thousand individuals in Australia defined as multi-millionaires by 2026. This is in line with the country’s growing economy over the years as well as the growing wealth inequality that was becoming a cause for concern in the island nation.

    Distribution of the wealthy

    As a rich country with plenty of natural resources and a high Human Development Index, Australia had always had a large number of high net-worth individuals or HNWIs. There were over ten thousand millionaires including a couple dozen of billionaires, with these figures expected to grow significantly over the next few years.

    Income inequality

    Despite the increase of wealth and economic growth, there was a concern at the level of poverty and homelessness due to the rising wealth inequality nationally. The number of homeless people living in Australia had only been increasing with more than a hundred thousand people currently without shelter. Furthermore, most of the wealth was being pushed from the country to the cities, affecting the livelihood of those living in the countryside or outback.

  9. Australia AU: Income Share Held by Fourth 20%

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia AU: Income Share Held by Fourth 20% [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality/au-income-share-held-by-fourth-20
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    Australia Income Share Held by Fourth 20% data was reported at 22.500 % in 2018. This records a decrease from the previous number of 22.900 % for 2016. Australia Income Share Held by Fourth 20% data is updated yearly, averaging 22.950 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 23.500 % in 1981 and a record low of 22.200 % in 2014. Australia Income Share Held by Fourth 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  10. Australia Income share held by second 20%

    • knoema.com
    csv, json, sdmx, xls
    Updated Jun 30, 2025
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    Knoema (2025). Australia Income share held by second 20% [Dataset]. https://knoema.com/atlas/Australia/topics/Poverty/Income-Inequality/Income-share-held-by-second-20percent
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    csv, json, xls, sdmxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    1981 - 2018
    Area covered
    Australia
    Variables measured
    Income share held by second 20%
    Description

    Income share held by second 20% of Australia remained constant at 12.20 % over the last 2 years. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

  11. Australia AU: Proportion of People Living Below 50 Percent Of Median Income:...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Australia AU: Proportion of People Living Below 50 Percent Of Median Income: % [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality/au-proportion-of-people-living-below-50-percent-of-median-income-
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    Australia Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 11.700 % in 2018. This records an increase from the previous number of 10.700 % for 2016. Australia Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 10.400 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 11.700 % in 2018 and a record low of 9.700 % in 2004. Australia Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  12. Educational dataset based on Income Inequality Study

    • researchdata.edu.au
    datadownload
    Updated Dec 6, 2022
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    Kim Le; Jarred Benham; Linda McIver; Graeme Buckie; Graeme Buckie (2022). Educational dataset based on Income Inequality Study [Dataset]. http://doi.org/10.25919/5D033E13694C4
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    datadownloadAvailable download formats
    Dataset updated
    Dec 6, 2022
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Kim Le; Jarred Benham; Linda McIver; Graeme Buckie; Graeme Buckie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2001 - Dec 31, 2011
    Description

    Educational resources and lesson plans based on Income Inequality (Gini Coefficients) for Australian regions data collection Lineage: Fleming, David; Measham, Tom (2015): Income Inequality (Gini Coefficients) for Australian regions. v1. CSIRO. Data Collection. https://doi.org/10.4225/08/55093772960E4

  13. Respondents' views on the likelihood of closing the gender pay gap Australia...

    • statista.com
    Updated Jun 13, 2025
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    Statista (2025). Respondents' views on the likelihood of closing the gender pay gap Australia 2024 [Dataset]. https://www.statista.com/statistics/1041787/australia-likelihood-closing-gender-pay-gap/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 20, 2023 - Nov 3, 2023
    Area covered
    Australia
    Description

    According to a survey conducted by Ipsos on predictions for global issues in 2024, ** percent of Australians believed it was unlikely that women would be paid the same amount as men for the same work in 2024.

  14. Australia AU: Income Share Held by Second 20%

    • ceicdata.com
    Updated Dec 15, 2021
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    CEICdata.com (2021). Australia AU: Income Share Held by Second 20% [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality/au-income-share-held-by-second-20
    Explore at:
    Dataset updated
    Dec 15, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    Australia Income Share Held by Second 20% data was reported at 12.200 % in 2018. This stayed constant from the previous number of 12.200 % for 2016. Australia Income Share Held by Second 20% data is updated yearly, averaging 12.200 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 12.900 % in 1981 and a record low of 11.600 % in 2008. Australia Income Share Held by Second 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  15. G

    Gini inequality index in Australia/Oceania | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 8, 2019
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    Globalen LLC (2019). Gini inequality index in Australia/Oceania | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/Australia/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Dec 8, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2021 based on 1 countries was 27.1 index points. The highest value was in Tonga: 27.1 index points and the lowest value was in Tonga: 27.1 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  16. Australia AU: Income Share Held by Highest 10%

    • ceicdata.com
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    CEICdata.com, Australia AU: Income Share Held by Highest 10% [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality/au-income-share-held-by-highest-10
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    Australia Income Share Held by Highest 10% data was reported at 26.200 % in 2018. This records an increase from the previous number of 25.500 % for 2016. Australia Income Share Held by Highest 10% data is updated yearly, averaging 24.800 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 27.400 % in 2008 and a record low of 22.900 % in 1981. Australia Income Share Held by Highest 10% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  17. r

    Data from: Australian Gini Coefficients derived from taxation data

    • researchdata.edu.au
    Updated Dec 4, 2017
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    Valadkhani Abbas; Chen George; Kennedy Tom; Tom Kennedy; Kennedy Tom; Kennedy Tom; George Chen; Abbas Valadkhani (2017). Australian Gini Coefficients derived from taxation data [Dataset]. https://researchdata.edu.au/australian-gini-coefficients-taxation-data/2292792
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    Dataset updated
    Dec 4, 2017
    Dataset provided by
    University of New England, Australia
    Authors
    Valadkhani Abbas; Chen George; Kennedy Tom; Tom Kennedy; Kennedy Tom; Kennedy Tom; George Chen; Abbas Valadkhani
    Area covered
    Description

    The data are a collection of Gini coefficients derived from taxation statistics published by the Australian Taxation Office (ATO). The data are available at the national, state and gender level. PhD related and intended to correctly identify the relationship between income inequality an economic growth.

  18. Australia AU: Income Share Held by Lowest 20%

    • ceicdata.com
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    CEICdata.com, Australia AU: Income Share Held by Lowest 20% [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality/au-income-share-held-by-lowest-20
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    Australia Income Share Held by Lowest 20% data was reported at 7.300 % in 2018. This records a decrease from the previous number of 7.400 % for 2016. Australia Income Share Held by Lowest 20% data is updated yearly, averaging 7.400 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 7.700 % in 2004 and a record low of 7.200 % in 2008. Australia Income Share Held by Lowest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  19. Distribution of adults Australia 2020, by wealth range

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). Distribution of adults Australia 2020, by wealth range [Dataset]. https://www.statista.com/statistics/798111/australia-wealth-distribution-adults/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Australia
    Description

    60 percent of Australians were in the wealth range between 100,000 and one million U.S. dollars in 2020. Just 9.4 percent of Australian adults had wealth of over one million U.S. dollars, which was slightly less than the share of people who had under 10,000 U.S. dollars in wealth.

    Wealth distribution in the Asia-Pacific

    In 2020, China had the highest number of millionaires, followed by Japan and Australia. The number of millionaires in Australia was forecasted to increase from 1.8 million to three million by 2025. According to a source, among the Asia-Pacific countries, Australia ranked second in the share of wealth per adult. The source had revealed the wealth per adult in Australia was more than 483 thousand U.S. dollars in 2020.

    LGBTQ community of Australia

    In 2020, a survey of working adults in Australia revealed that LGBTQ adults were employed in public services and the law enforcement across the country. On the one hand, more than 38 percent of LGBTQ individuals had a role as as a team member, above 12 percent of respondents answered that they were either team leader or supervisor.

  20. Australia AU: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia AU: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/australia/social-poverty-and-inequality/au-gini-coefficient-gini-index-world-bank-estimate
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2018
    Area covered
    Australia
    Description

    Australia Gini Coefficient (GINI Index): World Bank Estimate data was reported at 34.300 % in 2018. This records an increase from the previous number of 33.700 % for 2016. Australia Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 33.500 % from Dec 1981 (Median) to 2018, with 12 observations. The data reached an all-time high of 35.400 % in 2008 and a record low of 31.300 % in 1981. Australia Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Poverty and Inequality. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

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Fleming David; Measham Tom (2015). Income Inequality (Gini Coefficients) for Australian regions [Dataset]. http://doi.org/10.4225/08/55093772960E4

Income Inequality (Gini Coefficients) for Australian regions

Explore at:
Dataset updated
Mar 18, 2015
Dataset provided by
Commonwealth Scientific and Industrial Research Organisation
Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Authors
Fleming David; Measham Tom
License

Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 2001 - Dec 31, 2011
Area covered
Australia
Description

These data contain Gini coefficient estimates (2001 and 2011), for different regions in Australia.

When referencing this material, please cite: Fleming, D. and Measham, T. (2015) 'Income inequality across Australian Regions during the mining boom: 2011-11'. Australian Geographer 46(2), 201-214.

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