Australia Percentage of Households: One Family: Other: Source of Income: Wages And Salaries data was reported at 71.700 % in 2020. This records an increase from the previous number of 68.600 % for 2018. Australia Percentage of Households: One Family: Other: Source of Income: Wages And Salaries data is updated yearly, averaging 72.150 % from Jun 2003 (Median) to 2020, with 10 observations. The data reached an all-time high of 79.500 % in 2003 and a record low of 68.600 % in 2018. Australia Percentage of Households: One Family: Other: Source of Income: Wages And Salaries data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H040: Survey of Income and Housing: Percentage of Households: by Source of Income.

A multi-millionaire is defined as someone owning ** million U.S. dollars or more. It was forecasted that there would be almost ** 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 *** 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.

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.

The average for 2021 based on 1 countries was 22 percent. The highest value was in Tonga: 22 percent and the lowest value was in Tonga: 22 percent. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

Percentage of Households: One Family: Other: Source of Income: Other Income data was reported at 7.400 % in 2020. This stayed constant from the previous number of 7.400 % for 2018. Percentage of Households: One Family: Other: Source of Income: Other Income data is updated yearly, averaging 6.400 % from Jun 2003 (Median) to 2020, with 10 observations. The data reached an all-time high of 8.200 % in 2016 and a record low of 3.300 % in 2003. Percentage of Households: One Family: Other: Source of Income: Other Income data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H040: Survey of Income and Housing: Percentage of Households: by Source of Income.

In the 2018 financial year, around 567,000 households in Australia had a household income of between 400 and 499 Australian dollars per week. The largest grouping of households in one income range was households earning 3,000 to 3,499 Australian dollars per week.

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.

Australia Number of Households: One Family: Couple with Dependent Children data was reported at 2,573.700 Unit th in 2020. This records an increase from the previous number of 2,543.800 Unit th for 2018. Australia Number of Households: One Family: Couple with Dependent Children data is updated yearly, averaging 2,206.800 Unit th from Jun 2001 (Median) to 2020, with 11 observations. The data reached an all-time high of 2,573.700 Unit th in 2020 and a record low of 1,670.300 Unit th in 2001. Australia Number of Households: One Family: Couple with Dependent Children data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H034: Survey of Income and Housing: Number of Household: by Family Composition.

Australia Average Number of Employed Persons in Household: One Family: Other data was reported at 1.900 Person in 2020. This records an increase from the previous number of 1.800 Person for 2018. Australia Average Number of Employed Persons in Household: One Family: Other data is updated yearly, averaging 1.900 Person from Jun 2001 (Median) to 2020, with 11 observations. The data reached an all-time high of 2.400 Person in 2003 and a record low of 1.800 Person in 2018. Australia Average Number of Employed Persons in Household: One Family: Other data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H038: Survey of Income and Housing: Average Number of Employed Persons in Household: by Family Composition.

Australia Percentage of Households: One Family: Couple with Dependent Children: Source of Income: Zero or Negative Income data was reported at 0.300 % in 2020. This records an increase from the previous number of 0.100 % for 2018. Australia Percentage of Households: One Family: Couple with Dependent Children: Source of Income: Zero or Negative Income data is updated yearly, averaging 0.300 % from Jun 2003 (Median) to 2020, with 10 observations. The data reached an all-time high of 0.600 % in 2010 and a record low of 0.100 % in 2018. Australia Percentage of Households: One Family: Couple with Dependent Children: Source of Income: Zero or Negative Income data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H040: Survey of Income and Housing: Percentage of Households: by Source of Income.

The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a nationally representative longitudinal study of Australian households which commenced in 2001. Funded by the Australian Government Department of Social Services (DSS), the HILDA Survey is managed by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne. The HILDA Survey provides longitudinal data on the lives of Australian residents. Its primary objective is to support research questions falling within three broad and inter-related areas of income, labour market and family dynamics. The HILDA Survey is a household-based panel study of Australian households and, as such, it interviews all household members (15 years and over) of the selected households and then re-interviews the same people in subsequent years. This dataset is the 21st release of the HILDA data, incorporating data collected from 2001 through 2021 (Waves 1-21). The special topic module in Wave 21 is health, and includes questions on health care utilisation, physical and mental health, diet, lifestyle, quantity and quality of sleep, and children’s health. Please note that this release of the HILDA Restricted Release is now superseded, and is available by email request only to ada@ada.edu.au. For the current release, please visit https://ada.edu.au/hilda_rr_current

In the 2018 financial year, the 90th percentile in Australia had a household net worth reaching about 2.93 million Australian dollars. By comparison the 10th percentile had a household net worth of 31,400 Australian dollars.

In 2023, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. Luxembourg was ranked second with an average wealth of around ******* U.S. dollars per adult, followed by Hong Kong SAR. However, the figures do not show the actual distribution of wealth. The Gini index shows wealth disparities in countries worldwide. Does wealth guarantee a longer life? As the old adage goes, “money can’t buy you happiness”, yet wealth and income are continuously correlated to the quality of life of individuals in different countries around the world. While greater levels of wealth may not guarantee a higher quality of life, it certainly increases an individual’s chances of having a longer one. Although they do not show the whole picture, life expectancy at birth is higher in the wealthier world regions. Does money bring happiness? A number of the world’s happiest nations also feature in the list of those countries for which average income was highest. Finland, however, which was the happiest country worldwide in 2022, is missing from the list of the top twenty countries with the highest wealth per adult. As such, the explanation for this may be the fact that the larger proportion of the population has access to a high income relative to global levels. Measures of quality of life Criticism of the use of income or wealth as a proxy for quality of life led to the creation of the United Nations’ Human Development Index. Although income is included within the index, it also has other factors taken into account, such as health and education. As such, the countries with the highest human development index can be correlated to those with the highest income levels. That said, none of the above measures seek to assess the physical and mental environmental impact of a high quality of life sourced through high incomes. The happy planet index demonstrates that the inclusion of experienced well-being and ecological footprint in place of income and other proxies for quality of life results in many of the world’s materially poorer nations being included in the happiest.

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

Australia Number of Household: Weekly Gross Income: 2013-14p: AUD 1 to 99 data was reported at 87.800 Unit th in 2014. This records an increase from the previous number of 65.600 Unit th for 2012. Australia Number of Household: Weekly Gross Income: 2013-14p: AUD 1 to 99 data is updated yearly, averaging 65.200 Unit th from Jun 1995 (Median) to 2014, with 13 observations. The data reached an all-time high of 87.800 Unit th in 2014 and a record low of 38.400 Unit th in 1997. Australia Number of Household: Weekly Gross Income: 2013-14p: AUD 1 to 99 data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H033: Survey of Income and Housing: Number of Household: Gross Income.

Updated data for the Australian Government’s Income Management (IM) program will be available on the third Thursday of every month. The data summary will include: Table 1. Number of IM participants …Show full descriptionUpdated data for the Australian Government’s Income Management (IM) program will be available on the third Thursday of every month. The data summary will include: Table 1. Number of IM participants by location and measure 1.1 Northern Territory 1.2 Western Australia 1.3 Queensland 1.4 South Australia 1.5 Victoria 1.6 New South Wales Table 2. Number of IM participants with an active BasicsCard by State/Territory Table 3. Number of IM exemptions by Indigenous Indicator The data provided will be the last weekly data update for the previous month. Legislation Legislation for IM is located here in the Social Security (Administration) Act 1999. The Guide to Social Policy Law for IM is located here. Information about IM More information about Income Management is located here on the Department of Human Services web site. Locations The places that have IM, by State and Territory, is located here on the Department of Human Services web site. Data Confidentialisation Policy Table cells are suppressed where the count refers to less than five, but more than zero, people. The method is: Cells with counts between one (1) and four (4) are presented as <5. Cells with counts between one (1) and four (4) are presented as <5. Cells with a count of zero (0) are not suppressed. Where suppression has been applied and it is still possible to derive the cell value from other information in the table, the total/s or the next lowest aggregate cells are suppressed and presented with ‘n.p.’ (not provided). Data Caveats Any variance from data reported prior to 28 August 2015 is due to a change to conform to the Australian Statistical Geography Standard (ASGS). Inconsistencies may be attributed to participants moving from the location where they were originally triggered onto the program. Participants with ‘Unknown’ locations did not have a recorded address at the time of data extraction. This often occurs because a participant is in the process of moving address. ‘Uncategorised CIM’ customers are instances where a customer was assessed for Income Management but was never switched ON and assigned a Category Code. ‘Greater Brisbane’ includes ‘Logan’. ‘Far North’ includes ‘Cape York’. For ‘Current Income Management Exemptions by Indigenous Indicator’, automatic exemptions for <25% of Max Payment is not included.

About this dataset

Context

The dataset tabulates the Au Sable town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Au Sable town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Au Sable, New York annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Au Sable, New York annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Au Sable town income distribution by gender. You can refer the same here

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. This table contains data relating to annual household income. Counts are of all classifiable households, excludes those dwellings which were temporarily unoccupied at the time of the census but the collector had ascertained that it was normally occupied, or the household contained only persons under 15 years of age. Counts are based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (b) Comprises households where at least one, but not all, member(s) aged 15 years or more did not state an incomeand/or at least one spouse, offspring, or co-tenant was temporarily absent.

The Gross Domestic Product (GDP) in Australia was worth 1752.19 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Australia represents 1.65 percent of the world economy. This dataset provides - Australia GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The statistic shows the number of adults with a wealth exceeding 100,000 U.S. dollars in Australia from 2014 to 2019. In 2019, about ************ Australian adults were wealthier than 100,000 U.S. dollars.