https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXU900000LB0102M) from 1984 to 2023 about percentile, salaries, tax, wages, income, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Korea HS: AS: 1 Quintile: Income: data was reported at 2,011,483.000 KRW in Sep 2018. This records an increase from the previous number of 1,994,563.000 KRW for Jun 2018. Korea HS: AS: 1 Quintile: Income: data is updated quarterly, averaging 1,602,608.000 KRW from Mar 2003 (Median) to Sep 2018, with 63 observations. The data reached an all-time high of 2,021,229.000 KRW in Mar 2015 and a record low of 1,102,397.000 KRW in Jun 2003. Korea HS: AS: 1 Quintile: Income: data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
The majority of key workers fall into the first ***** quintiles of hourly wages, the most falling into the first quintile. A smaller amount fall into the top *** quintiles, with the least falling into the fifth quintile. Overall, most key workers are at risk of low pay.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
75% of households from the Bangladeshi ethnic group were in the 2 lowest income quintiles (after housing costs were deducted) between April 2021 and March 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Korea HS: All Salary & Wage Earner (AS): 1 Quintile: Persons per Household data was reported at 2.610 Person in Mar 2018. This records an increase from the previous number of 2.570 Person for Dec 2017. Korea HS: All Salary & Wage Earner (AS): 1 Quintile: Persons per Household data is updated quarterly, averaging 2.840 Person from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 3.100 Person in Jun 2003 and a record low of 2.550 Person in Sep 2017. Korea HS: All Salary & Wage Earner (AS): 1 Quintile: Persons per Household data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
HS: AS: 5 Quintile: AME: Consumption (CS) data was reported at 4,552,695.000 KRW in 2017. HS: AS: 5 Quintile: AME: Consumption (CS) data is updated yearly, averaging 4,552,695.000 KRW from Dec 2017 (Median) to 2017, with 1 observations. HS: AS: 5 Quintile: AME: Consumption (CS) data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
HS: AS: 3 Quintile: Exp: Consumption (CS) data was reported at 2,454,135.000 KRW in Dec 2016. This records a decrease from the previous number of 2,543,478.000 KRW for Sep 2016. HS: AS: 3 Quintile: Exp: Consumption (CS) data is updated quarterly, averaging 2,250,060.500 KRW from Mar 2003 (Median) to Dec 2016, with 56 observations. The data reached an all-time high of 2,820,586.000 KRW in Mar 2015 and a record low of 1,646,233.000 KRW in Mar 2003. HS: AS: 3 Quintile: Exp: Consumption (CS) data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_ecc9bf4002ce1ea951abbb59432dfc82/view
This table presents household income and saving from the national accounts broken down by income quintile. It includes primary income, disposable income, adjusted disposable income and saving. Primary income is the income that households receive as a result of their involvement in production. It includes gross operating surplus (in the case of households, imputed income from owning your own house), gross mixed income (profits of the self-employed) and compensation of employees (wages and salaries and employers’ social contributions) as well as net interest, distributed income of corporations (dividends) and rent. Disposable income is the income that households receive after taxes on income and wealth, social contributions and benefits, non-life insurance premiums and claims, and other current transfers like remittances. Adjusted disposable income is derived from disposable income, but also includes the value of social transfers in kind received by households. Saving represents that part of disposable income (adjusted for the change in pension entitlements) that is not spent on final consumption goods and services.
In this table, households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition.
Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised income and saving) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.
The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ filter to make cross-country comparisons.
For more information on the (compilation of) these results, please see the webpage on household distributional results .
In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
HS: SW: 3 Quintile: Income data was reported at 4,796,997.000 KRW in Sep 2018. This records an increase from the previous number of 4,497,627.000 KRW for Jun 2018. HS: SW: 3 Quintile: Income data is updated quarterly, averaging 3,363,313.000 KRW from Mar 1997 (Median) to Sep 2018, with 87 observations. The data reached an all-time high of 4,796,997.000 KRW in Sep 2018 and a record low of 1,798,967.000 KRW in Sep 1998. HS: SW: 3 Quintile: Income data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H063: Household Income and Expenditure Survey (HS): by Income Quintile: Urban Salary and Wage Earner.
In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
HS: AS: 3 Quintile: Average Monthly Expenditure (AME) data was reported at 3,498,258.000 KRW in 2017. HS: AS: 3 Quintile: Average Monthly Expenditure (AME) data is updated yearly, averaging 3,498,258.000 KRW from Dec 2017 (Median) to 2017, with 1 observations. HS: AS: 3 Quintile: Average Monthly Expenditure (AME) data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
https://www.icpsr.umich.edu/web/ICPSR/studies/2262/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2262/terms
This collection contains data integrated from the two components of the Consumer Expenditure Survey, the Diary Survey and the quarterly Interview Survey, for the years 1984-1995. The integrated data provide a complete accounting of consumer expenditures and income, which neither component alone is designed to do. For the Diary Survey, consumer units complete a diary of expenses for two consecutive one-week periods. The diary survey is designed to obtain data on frequently purchased items such as food and beverages, housekeeping supplies, etc., that respondents are less likely to recall over longer periods of time. For the Interview Survey, consumer units report information to an interviewer once every three months for five consecutive quarters. This survey is designed to obtain data on expenditures and income that respondents can be expected to recall for a period of three months or longer, such as property or automobile purchases, and those that occur on a regular basis, such as rent, utility bills, and insurance premiums. The standard tables include age of reference person, composition of the consumer unit, size of the consumer unit, number of earners in the consumer unit, income before taxes, occupation, quintiles of income before taxes, housing tenure, race, type of area (urban-rural), and region of residence. There are also cross-tabulated tables that include age by income, consumer unit size by income, region by income before taxes, Metropolitan Statistical Areas by the four census regions, and single persons by age and by income.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Incomplete Income Reports (CXU900000LB01A2M) from 1984 to 2003 about salaries, tax, wages, income, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Korea HS: AS: 4 Quintile: Average Age of Household Head data was reported at 47.610 Year in Sep 2018. This records an increase from the previous number of 47.230 Year for Jun 2018. Korea HS: AS: 4 Quintile: Average Age of Household Head data is updated quarterly, averaging 43.830 Year from Mar 2003 (Median) to Sep 2018, with 63 observations. The data reached an all-time high of 47.610 Year in Sep 2018 and a record low of 40.210 Year in Mar 2003. Korea HS: AS: 4 Quintile: Average Age of Household Head data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Korea HS: AS: 5 Quintile: Exp: Consumption (CS) data was reported at 4,036,996.000 KRW in Dec 2016. This records a decrease from the previous number of 4,259,228.000 KRW for Sep 2016. Korea HS: AS: 5 Quintile: Exp: Consumption (CS) data is updated quarterly, averaging 3,635,967.000 KRW from Mar 2003 (Median) to Dec 2016, with 56 observations. The data reached an all-time high of 4,485,945.000 KRW in Mar 2016 and a record low of 2,610,752.000 KRW in Jun 2003. Korea HS: AS: 5 Quintile: Exp: Consumption (CS) data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H062: Household Income and Expenditure Survey (HS): by Income Quintile: All Salary and Wage Earner.
https://www.icpsr.umich.edu/web/ICPSR/studies/2796/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2796/terms
This collection contains data integrated from the two components of the Consumer Expenditure Survey, the Diary Survey and the quarterly Interview Survey, for the years 1984-1996. The integrated data provide a complete accounting of consumer expenditures and income, which neither component alone is designed to do. For the Diary Survey, consumer units complete a diary of expenses for two consecutive one-week periods. The diary survey is designed to obtain data on frequently purchased items, such as food and beverages, housekeeping supplies, etc., that respondents are less likely to recall over longer periods of time. For the Interview Survey, consumer units report information to an interviewer once every three months for five consecutive quarters. This survey is designed to obtain data on expenditures and income that respondents can be expected to recall for a period of three months or longer, such as property or automobile purchases, and those that occur on a regular basis, such as rent, utility bills, and insurance premiums. The standard tables include age of reference person, composition of the consumer unit, size of the consumer unit, number of earners in the consumer unit, income before taxes, occupation, quintiles of income before taxes, housing tenure, race, type of area (urban-rural), and region of residence. There are also cross-tabulated tables that include age by income, consumer unit size by income, region by income before taxes, Metropolitan Statistical Areas by the four census regions, and single persons by age and by income.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Income After Taxes: Income After Taxes by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXUINCAFTTXLB0102M) from 1984 to 2023 about percentile, tax, income, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Korea HS: Urban Salary & Wage Earner (SW): 1 Quintile: Persons per Househo data was reported at 2.640 Person in Mar 2018. This records an increase from the previous number of 2.560 Person for Dec 2017. Korea HS: Urban Salary & Wage Earner (SW): 1 Quintile: Persons per Househo data is updated quarterly, averaging 2.920 Person from Mar 1997 (Median) to Mar 2018, with 85 observations. The data reached an all-time high of 3.240 Person in Sep 1998 and a record low of 2.530 Person in Sep 2017. Korea HS: Urban Salary & Wage Earner (SW): 1 Quintile: Persons per Househo data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H063: Household Income and Expenditure Survey (HS): by Income Quintile: Urban Salary and Wage Earner.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXU900000LB0102M) from 1984 to 2023 about percentile, salaries, tax, wages, income, and USA.