This time-series dataset includes data on countries worldwide and information on indicators pertaining to health and population by wealth quintile by each country from 1990 to 2020.

This database presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).

According to a survey conducted between 2019 to 2021 in India, the prevalence of disability among different wealth quintiles in India reflected a higher share in the urban areas for the lowest to the fourth quintile as opposed to the rural. For the highest wealth quintile, the share was higher in the rural areas with close to *** percent.

About 50.4 percent of the household income of private households in the U.S. were earned by the highest quintile in 2023, which are the upper 20 percent of the workers. In contrast to that, in the same year, only 3.5 percent of the household income was earned by the lowest quintile. This relation between the quintiles is indicative of the level of income inequality in the United States. Income inequalityIncome inequality is a big topic for public discussion in the United States. About 65 percent of U.S. Americans think that the gap between the rich and the poor has gotten larger in the past ten years. This impression is backed up by U.S. census data showing that the Gini-coefficient for income distribution in the United States has been increasing constantly over the past decades for individuals and households. The Gini coefficient for individual earnings of full-time, year round workers has increased between 1990 and 2020 from 0.36 to 0.42, for example. This indicates an increase in concentration of income. In general, the Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing. Income distribution is also affected by region. The state of New York had the widest gap between rich and poor people in the United States, with a Gini coefficient of 0.51, as of 2019. In global comparison, South Africa led the ranking of the 20 countries with the biggest inequality in income distribution in 2018. South Africa had a score of 63 points, based on the Gini coefficient. On the other hand, the Gini coefficient stood at 16.6 in Azerbaijan, indicating that income is widely spread among the population and not concentrated on a few rich individuals or families. Slovenia led the ranking of the 20 countries with the greatest income distribution equality in 2018.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in United States, 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

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 15,614, while the mean income for the highest quintile (20% of households with the highest income) is 274,279. This indicates that the top earners earn 18 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 498,167, which is 181.63% higher compared to the highest quintile, and 3190.51% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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/.

Recommended for further research

This dataset is a part of the main dataset for United States median household income. You can refer the same here

This table contains 186 series (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Income quintile (6 items: All quintiles; Lowest income quintile; Second income quintile; Third income quintile; ...); Socio-demographic characteristics (31 items: All households; One-person households; Single less than 65 years; Single 65 years and older; ...).

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Alberta, VA, 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

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 13,719, while the mean income for the highest quintile (20% of households with the highest income) is 305,176. This indicates that the top earners earn 22 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 857,260, which is 280.91% higher compared to the highest quintile, and 6248.71% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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/.

Recommended for further research

This dataset is a part of the main dataset for Alberta median household income. You can refer the same here

Portugal - Income quintile share ratio (S80/S20) was 5.20 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Portugal - Income quintile share ratio (S80/S20) - last updated from the EUROSTAT on June of 2025. Historically, Portugal - Income quintile share ratio (S80/S20) reached a record high of 6.96 in December of 2005 and a record low of 4.99 in December of 2020.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Illinois, 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

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 15,343, while the mean income for the highest quintile (20% of households with the highest income) is 275,167. This indicates that the top earners earn 18 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 497,340, which is 180.74% higher compared to the highest quintile, and 3241.48% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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/.

Recommended for further research

This dataset is a part of the main dataset for Illinois median household income. You can refer the same here

Household net worth statistics aims to provide a picture of the net worth (wealth) of New Zealanders, by looking at their household assets and liabilities – financial and non-financial.

Series Name: Completion rate by sex location wealth quintile and education level (percent)Series Code: SE_TOT_CPLRRelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 4.1.2: Completion rate (primary education, lower secondary education, upper secondary education)Target 4.1: By 2030, ensure that all girls and boys complete free, equitable and quality primary and secondary education leading to relevant and effective learning outcomesGoal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Bulgaria - Income quintile share ratio (S80/S20) was 6.96 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Bulgaria - Income quintile share ratio (S80/S20) - last updated from the EUROSTAT on June of 2025. Historically, Bulgaria - Income quintile share ratio (S80/S20) reached a record high of 8.23 in December of 2017 and a record low of 5.12 in December of 2006.

Proximate determinants of fertility by wealth quintile, earliest survey.

In Costa Rica and Chile, the top quintile earned over ** percent of the income earned by the first quintile, indicating a high level of income inequality. Meanwhile, the lowest quintile share ratio was found in Slovakia at ***** percent.

Graph and download economic data for Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Third 20 Percent (41st to 60th Percentile) (CXU900000LB0104M) from 1984 to 2023 about percentile, salaries, tax, wages, income, and USA.

In urban households in Ghana as of 2018, **** percent of them fell into the quintile category of the richest, and this was followed by the household population in the fourth quintile group. *** percent of the given urban population belonged to the poorest group (first quintile). Overall, percentages of household wealth index quintiles are higher in the poorest group in rural communities, contrary to urban households which are higher in the fifth quintile (richest).

This web appendix formed part of the original submission and has been peer reviewed. The journal post it as supplied by the authors.Supplement to: Chao F, You D, Pedersen J, Hug L, Alkema L. National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment. Lancet Glob Health 2018; 6: e535-47.

Data Series: Completion rate, by sex, location and wealth quintile, lower secondary education Indicator: II.5 - Completion rate (primary education, lower secondary education) Source year: 2024 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Education

Australia Equivalised Disposable Income: Share: Lowest Quintile data was reported at 7.400 % in 2020. This records a decrease from the previous number of 7.500 % for 2018. Australia Equivalised Disposable Income: Share: Lowest Quintile data is updated yearly, averaging 7.700 % from Jun 1995 (Median) to 2020, with 16 observations. The data reached an all-time high of 8.300 % in 1997 and a record low of 7.300 % in 2008. Australia Equivalised Disposable Income: Share: Lowest Quintile 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.H028: Survey of Income and Housing: Equivalized Disposable Household Income.

All-cause age standardized mortality rates per 100,000 person years at risk from 5 years of follow-up from the Census of Population by household income quintile and sex for the household population aged 25 years or older for Canada and provinces.