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TwitterAs of 2023, the bottom 50 percent in Chile, that is, the population whose income was below the median, earned on average 3,101 U.S. dollars at purchasing power parity (PPP) before income taxes. This is nearly 66 times less than the average income of the top ten percent, which stood at 205,277 USD that year. In relation to percentage distribution of national wealth in Chile, the top ten percent accounted for over 80 percent of the overall national wealth.
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Graph and download economic data for Income Before Taxes: Wages and Salaries by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) (CXU900000LB1510M) from 2014 to 2023 about percentile, salaries, tax, wages, income, and USA.
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TwitterAs surveyed by Infocus Mekong in 2020, around ** percent of households in Vietnam had an income from ********** to ********** Vietnamese dong. Meanwhile, ***** percent of them stated to have an income of under ********* Vietnamese dong.
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Egypt Average Household Income: Percentage Distribution: Current Transfers data was reported at 20.500 % in 2015. This records an increase from the previous number of 16.700 % for 2013. Egypt Average Household Income: Percentage Distribution: Current Transfers data is updated yearly, averaging 15.900 % from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 20.500 % in 2015 and a record low of 13.600 % in 2005. Egypt Average Household Income: Percentage Distribution: Current Transfers data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H012: Average Household Income.
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The dataset presents a breakdown of households across various income brackets in Topeka, KS, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Topeka, KS reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Topeka households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Topeka median household income. You can refer the same here
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TwitterSince 2000, the share of the world's total labor income before tax earned by women fluctuated between ***** percent to ***** percent. This is significantly less than their male counterparts. There are also differences between the world regions.
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The dataset presents a breakdown of households across various income brackets in Indiana, PA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Indiana, PA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Indiana households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Indiana median household income. You can refer the same here
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The dataset presents the mean household income for each of the five quintiles in Ventura County, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Ventura County median household income. You can refer the same here
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Employment income is generally income (salary, wages, compensation, taxes, bonuses, compensation for job inventions, etc.) received in return for providing labor, which is a non-independent personal service, through an employment relationship or a similar contract, and is distinguished from business income, other income, and retirement income. (Employment income) Payment received for providing labor through an employment relationship or a similar contract → Withholding tax according to the simplified tax table (Business income) Payment received for continuously providing services in an independent capacity without an employment relationship → Withholding tax of 3% of the income amount (Other income) Payment received for temporarily providing services → Withholding tax of 20% of the other income amount (income amount - necessary expenses) (Retirement income) Income paid due to actual retirement based on employer contributions, etc. → Withholding tax upon retirement Employment income percentile (top 1%, 1,000th percentile) data - Number of people - Total salary amount (100 million won) - Employment income amount (100 million won) - Income deduction amount (100 million won) (Employment income deduction + Personal deduction + Pension insurance premium deduction + Special income deduction + Other income deduction - Amount exceeding income deduction limit) - Taxable standard (100 million won) - Determined tax amount (100 million won) This is the value of the total employment income for each quintile, and is expressed in 0.1% units only within the top 1%.
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TwitterThis statistical release has been affected by the coronavirus (COVID-19) pandemic. We advise users to consult our technical report which provides further detail on how the statistics have been impacted and changes made to published material.
This Households Below Average Income (HBAI) report presents information on living standards in the United Kingdom year on year from financial year ending (FYE) 1995 to FYE 2021.
It provides estimates on the number and percentage of people living in low-income households based on disposable income. Figures are also provided for children, pensioners and working-age adults.
Use our infographic to find out how low income is measured in HBAI.
Most of the figures in this report come from the Family Resources Survey, a representative survey of around 10,000 households in the UK.
Summary data tables and publication charts are available on this page.
The directory of tables is a guide to the information in the summary data tables and publication charts file.
UK-level HBAI data is available from FYE 1995 to FYE 2020 on https://stat-xplore.dwp.gov.uk/webapi/jsf/login.xhtml">Stat-Xplore online tool. You can use Stat-Xplore to create your own HBAI analysis. Data for FYE 2021 is not available on Stat-Xplore.
HBAI information is available at:
Read the user guide to HBAI data on Stat-Xplore.
We are seeking feedback from users on this development release of HBAI data on Stat-Xplore: email team.hbai@dwp.gov.uk with your comments.
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TwitterAsian households measured the highest median household income among racial and ethnic groups in the United States. In 2024, Asian household incomes reached a median of 121,700 U.S. dollars. On the other hand, Black households had the lowest median income of 56,020 U.S. dollars. Overall, median household incomes in the United States stood at 83,730 U.S. dollars that year.Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, African American, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. nearing nine percent unemployed, according to the Bureau of Labor Statistics in 2024. Hispanic individuals (of any race) were most likely to go without health insurance as of 2024.
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TwitterTIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.
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Belgium BE: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 8.100 % in 2021. This records an increase from the previous number of 7.900 % for 2020. Belgium BE: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 9.100 % from Dec 1985 (Median) to 2021, with 25 observations. The data reached an all-time high of 10.500 % in 2015 and a record low of 6.000 % in 1985. Belgium BE: 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 Belgium – Table BE.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).
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The dataset presents a breakdown of households across various income brackets in Daphne, AL, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Daphne, AL reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Daphne households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Daphne median household income. You can refer the same here
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Haiti HT: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 18.200 % in 2012. Haiti HT: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 18.200 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 18.200 % in 2012 and a record low of 18.200 % in 2012. Haiti HT: 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 Haiti – Table HT.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).
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TwitterIn the post-Covid financial year of 2021, the poorest ** percent of households witnessed income levels shrink by ** percent from levels in financial year 2016. The pandemic resulted in the gap between the richest and the poorest ** percent from *** times in financial year 2016 to ** times in financial year 2021. In the financial year 2023, the gap narrowed down to ***** times.
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Bangladesh BD: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 14.000 % in 2022. This records an increase from the previous number of 6.100 % for 2016. Bangladesh BD: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 5.250 % from Dec 1983 (Median) to 2022, with 10 observations. The data reached an all-time high of 14.000 % in 2022 and a record low of 3.600 % in 1985. Bangladesh BD: 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 Bangladesh – Table BD.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).
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Graph and download economic data for Expenditures: Pensions and Social Security by Deciles of Income Before Taxes: Eighth 10 Percent (71st to 80th Percentile) (CXUPENSIONSLB1509M) from 2014 to 2023 about social, pension, social assistance, percentile, tax, expenditures, income, and USA.
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The dataset presents a breakdown of households across various income brackets in Anniston, AL, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Anniston, AL reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Anniston households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Anniston median household income. You can refer the same here
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TwitterIn 2021, the aggregated total household income of the top percentile of earners in Israel reached approximately *** billion Israeli shekels, around ** billion U.S. dollar. This reflected an increase of about ** percent compared to the previous year. There was a steady rise in aggregated incomes during the observed period, with a peak in 2017 at ***** billion Israeli shekels, around **** billion U.S. dollars. This was due to a one-time tax incentive introduced by the government to release "trapped" capital gains tax.
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TwitterAs of 2023, the bottom 50 percent in Chile, that is, the population whose income was below the median, earned on average 3,101 U.S. dollars at purchasing power parity (PPP) before income taxes. This is nearly 66 times less than the average income of the top ten percent, which stood at 205,277 USD that year. In relation to percentage distribution of national wealth in Chile, the top ten percent accounted for over 80 percent of the overall national wealth.