The "Per Capita GDP of All Countries 1970 to 2022" dataset provides a comprehensive overview of the economic performance of all countries in the world from 1970 to 2022 in US Dollar. This dataset includes several key columns:

Country: This column lists the names of the countries included in the dataset. Year: This column indicates the specific year for which the GDP data is recorded from 1970 to 2022. By analyzing this dataset, you can observe trends in economic growth, identify periods of significant economic change, and compare the economic performance of different countries over time. This information is valuable for economists, researchers, policymakers, and anyone interested in understanding the economic history and development of nations.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Middlesex County, CT, 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 22,268, while the mean income for the highest quintile (20% of households with the highest income) is 294,653. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 488,691, which is 165.85% higher compared to the highest quintile, and 2194.59% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/middlesex-county-ct-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Middlesex County, CT (in 2022 inflation-adjusted dollars))">

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 Middlesex County median household income. You can refer the same here

The Gross Domestic Product per capita in Mexico was last recorded at 10313.49 US dollars in 2024. The GDP per Capita in Mexico is equivalent to 82 percent of the world's average. This dataset provides - Mexico GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in the United Kingdom was last recorded at 47265 US dollars in 2024. The GDP per Capita in the United Kingdom is equivalent to 374 percent of the world's average. This dataset provides the latest reported value for - United Kingdom GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

For source data: https://data.census.gov/table/ACSDP5Y2023.DP03. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore Income and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Income per capita for census tracts in LA County from the US Census American Communities Survey (ACS), 2023. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov.

About this dataset

Context

The dataset tabulates the New Orleans median household income by race. The dataset can be utilized to understand the racial distribution of New Orleans 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).

• New Orleans, LA median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in New Orleans, LA (2022)

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 New Orleans median household income by race. You can refer the same here

Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2024 about households, median, income, and USA.

This dataset provides valuable insights into the per capita income of Canada over a specific time period, allowing users to explore and analyze the economic trends and disparities in the country. Per capita income is a crucial economic indicator that measures the average income earned by individuals in a given region, making it an essential factor in understanding the overall economic well-being of a nation.The dataset contains detailed information on Canada's per capita income and the data has been meticulously collected and compiled from various reputable sources, such as official government publications, national statistical agencies, economic research institutions, and financial reports.As you explore and analyze this dataset, please acknowledge the original data sources to give credit to the efforts of data providers. Additionally, any findings or conclusions drawn from this dataset should be appropriately cited, contributing to the collective knowledge and understanding of Canada's economic landscape.

CONTENT

The figures presented here do not take into account differences in the cost of living in different countries, and the results vary greatly from one year to another based on fluctuations in the exchange rates of the country's currency. Such fluctuations change a country's ranking from one year to the next, even though they often make little or no difference to the standard of living of its population.

GDP per capita is often considered an indicator of a country's standard of living; however, this is inaccurate because GDP per capita is not a measure of personal income.

Comparisons of national income are also frequently made on the basis of purchasing power parity (PPP), to adjust for differences in the cost of living in different countries. (See List of countries by GDP (PPP) per capita.) PPP largely removes the exchange rate problem but not others; it does not reflect the value of economic output in international trade, and it also requires more estimation than GDP per capita. On the whole, PPP per capita figures are more narrowly spread than nominal GDP per capita figures.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Logan, UT, 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 16,881, while the mean income for the highest quintile (20% of households with the highest income) is 161,833. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 265,130, which is 163.83% higher compared to the highest quintile, and 1570.58% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 2023 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 Logan median household income. You can refer the same here

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

The Gross Domestic Product per capita in Argentina was last recorded at 12667.03 US dollars in 2024. The GDP per Capita in Argentina is equivalent to 100 percent of the world's average. This dataset provides - Argentina GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in St Lucia was last recorded at 11854.95 US dollars in 2024. The GDP per Capita in St Lucia is equivalent to 94 percent of the world's average. St Lucia GDP per capita - values, historical data, forecasts and news - updated on December of 2025.

The "Canada Per Capita Income Prediction" dataset presents a comprehensive collection of historical economic data focused on Canada's per capita income, with the added dimension of predictive analysis. This dataset has been meticulously curated to offer a deep understanding of income trends, enabling researchers, economists, and policymakers to make informed decisions.

Sourced from reputable governmental agencies such as Statistics Canada, the dataset spans several decades, encompassing varying economic scenarios and policy changes. It combines indicators such as GDP growth, employment rates, inflation, and sectoral contributions, providing a holistic view of the factors influencing per capita income.

The inspiration behind compiling and predicting this dataset lies in the crucial need for accurate economic forecasting. As economies continue to evolve, accurate predictions facilitate proactive planning for governments, businesses, and individuals. This dataset empowers researchers to explore correlations between income levels and various economic indicators, shedding light on the potential effects of policy decisions on the citizens' standard of living.

In addition to its analytical utility, this dataset can serve as an educational resource, allowing students and enthusiasts to grasp the complexities of economic dynamics and predictive modeling. By offering this dataset, we aim to foster a data-driven approach to understanding the economic landscape and contribute to evidence-based discussions on economic policies, growth, and prosperity in Canada.

Bangladesh BD: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.350 % in 2016. Bangladesh BD: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.350 % from Dec 2016 (Median) to 2016, with 1 observations. The data reached an all-time high of 1.350 % in 2016 and a record low of 1.350 % in 2016. Bangladesh BD: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate 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 growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. 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. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

About this dataset

Context

The dataset tabulates the Pittsburgh median household income by race. The dataset can be utilized to understand the racial distribution of Pittsburgh 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).

• Pittsburgh, PA median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in Pittsburgh, PA (2022)

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 Pittsburgh median household income by race. You can refer the same here

The Gross Domestic Product per capita in Costa Rica was last recorded at 14866.58 US dollars in 2024. The GDP per Capita in Costa Rica is equivalent to 118 percent of the world's average. This dataset provides - Costa Rica GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides quarterly personal income estimates for State of Iowa produced by the U.S. Bureau of Economic Analysis . Data includes the following estimates: personal income, per capita personal income, proprietors' income, farm proprietors' income, compensation of employees and private nonfarm earnings, compensation, and wages and salaries for wholesale trade. Personal income, proprietors' income, and farm proprietors' income available beginning 1997; per capita personal income available beginning 2010; and all other data beginning 1998. Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s midquarter population estimates. Proprietors' income is the current-production income (including income in kind) of sole proprietorships, partnerships, and tax-exempt cooperatives. Corporate directors' fees are included in proprietors' income. Proprietors' income includes the interest income received by financial partnerships and the net rental real estate income of those partnerships primarily engaged in the real estate business. Farm proprietors’ income as measured for personal income reflects returns from current production; it does not measure current cash flows. Sales out of inventories are included in current gross farm income, but they are excluded from net farm income because they represent income from a previous year’s production. Compensation to employees is the total remuneration, both monetary and in kind, payable by employers to employees in return for their work during the period. It consists of wages and salaries and of supplements to wages and salaries. Compensation is presented on an accrual basis - that is, it reflects compensation liabilities incurred by the employer in a given period regardless of when the compensation is actually received by the employee. Private nonfarm earnings is the sum of wages and salaries, supplements to wages and salaries, and nonfarm proprietors' income, excluding farm and government. Private nonfarm wages and salaries is wages and salaries excluding farm and government. Wages and salaries is the remuneration receivable by employees (including corporate officers) from employers for the provision of labor services. It includes commissions, tips, and bonuses; employee gains from exercising stock options; and pay-in-kind. Judicial fees paid to jurors and witnesses are classified as wages and salaries. Wages and salaries are measured before deductions, such as social security contributions, union dues, and voluntary employee contributions to defined contribution pension plans. More terms and definitions are available on https://apps.bea.gov/regional/definitions/.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Los Angeles County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Los Angeles County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Los Angeles County, householders within the 45 to 64 years age group have the highest median household income at $99,047, followed by those in the 25 to 44 years age group with an income of $95,037. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $62,342. Notably, householders within the under 25 years age group, had the lowest median household income at $51,444.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Los Angeles County median household income by age. You can refer the same here

Monthly and long-term Indonesia GDP Per Capita data: historical series and analyst forecasts curated by FocusEconomics.