The small area model-based income estimates are the official estimates of average (mean) household income at the middle layer super output area (MSOA) level in England and Wales for 2011/12, 2013/14 and 2015/16. For 2015-16 the figures are average annual income. For 2013/14 and 2011/12 the figures are average weekly income. They are calculated using a model based method to produce the following four estimates of income using a combination of survey data from the Family Resources Survey, and previously published data from the 2011 Census and a number of administrative data sources. The four different measures of income are: Total household income Net household income Net household income (equivalised) before housing costs Net household income (equivalised) after housing costs Total annual household income is the sum of the gross income of every member of the household plus any income from benefits such as Working Families Tax Credit. Net annual household income is the sum of the net income of every member of the household. It is calculated using the same components as total income but income is net of: income tax payments; national insurance contributions; domestic rates/council tax; contributions to occupational pension schemes; all maintenance and child support payments, which are deducted from the income of the person making the payments; and parental contribution to students living away from home. Net annual household income before housing costs (equivalised) is composed of the same elements as net household weekly income but is subject to the OECD’s equivalisation scale. Net annual household income after housing costs (equivalised) is composed of the same elements of net household weekly income but is subject to the following deductions prior to the OECD’s equivalisation scale being applied: rent (gross of housing benefit); water rates, community water charges and council water charges; mortgage interest payments (net of any tax relief); structural insurance premiums (for owner occupiers); and ground rent and service charges. For detailed information on aspects of the quality and methodology behind these statistics, see the Technical Report. This dataset is included in the Greater London Authority's Night Time Observatory. Click here to find out more.

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

Ireland Household Income: Weekly Average: Net Disposable Income data was reported at 891.710 EUR in 2016. This records an increase from the previous number of 868.010 EUR for 2015. Ireland Household Income: Weekly Average: Net Disposable Income data is updated yearly, averaging 831.440 EUR from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 939.890 EUR in 2008 and a record low of 689.760 EUR in 2003. Ireland Household Income: Weekly Average: Net Disposable Income data remains active status in CEIC and is reported by Central Statistics Office of Ireland. The data is categorized under Global Database’s Ireland – Table IE.H016: Household Income and Expenditure: Weekly Average.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Naperville, IL, 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 32,858, while the mean income for the highest quintile (20% of households with the highest income) is 451,144. This indicates that the top earners earn 14 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 810,081, which is 179.56% higher compared to the highest quintile, and 2465.40% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/naperville-il-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Naperville, IL (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 Naperville median household income. You can refer the same here

In 2024, the median household income in the United States was 83,730 U.S. dollars. This reflected an increase from the previous year. Household income The median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varied from state to state. In 2024, Massachusetts recorded the highest median household income in the country, at 113,900 U.S. dollars. On the other hand, Mississippi, recorded the lowest, at 55,980 U.S. dollars.Household income is also used to determine the poverty rate in the United States. In 2024, 10.6 percent of the U.S. population was living below the national poverty line. This was the lowest level since 2019. Similarly, the child poverty rate, which represents people under the age of 18 living in poverty, reached a three-decade low of 14.3 percent of the children. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.52 in 2024. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality, while a score of one indicates complete inequality.

The estimated median household income and estimated median family income are two separate measures: every family is a household, but not every household is a family. According to the U.S. Census Bureau definitions of the terms, a family “includes a householder and one or more people living in the same household who are related to the householder by birth, marriage, or adoption,”[1] while a household “includes all the people who occupy a housing unit,” including households of just one person[2]. When evaluated together, the estimated median household income and estimated median family income provide a thorough picture of household-level economics in Champaign County.

Both estimated median household income and estimated median family income were higher in 2024 than in 2005. The change in estimated median household income between 2023 and 2024 was not statistically significant. However, the increase in estimated median family income between 2023 and 2024 was statistically significant. Estimated median family income is consistently higher than estimated median household income, largely due to the definitions of each term, and the types of household that are measured and are not measured in each category.

Median income data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes datasets on Median Household Income in the Past 12 Months (in 2020 Inflation-Adjusted Dollars) and Median Family Income in the Past 12 Months (in 2020 Inflation-Adjusted Dollars).

[1] U.S. Census Bureau. (Date unknown). Glossary. “Family Household.” (Accessed 19 April 2016).

[2] U.S. Census Bureau. (Date unknown). Glossary. “Household.” (Accessed 19 April 2016).

Sources: U.S. Census Bureau; American Community Survey, 2024 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (2 December 2025).; U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (18 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (3 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (7 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).

This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.

Estimates of UK regional gross disposable household income (GDHI) at current prices for ITL1, ITL2 and ITL3 regions.

The Derived Current and Annual Net Household Income dataset provides derived net income variables for the British Household Panel Survey (BHPS). It is an unofficial supplement to the set of derived income variables in the official BHPS release (which focus on gross income rather than net income). The purpose of these additional files is to provide an analysis of income and poverty dynamics in Britain, and related topics.

The aim of the research was to produce a longitudinal complement to the cross-section income distribution information provided by the Department of Social Security's (DSS) Households Below Average Income (HBAI) reports, and to this end the HBAI definition of net income (DSS, 1993) has been closely adhered to. Also included in the data are BHPS versions of HBAI family type and economic status variables.

It is recommended that these data are used in conjunction with the main BHPS dataset, held at the UKDA under SN 5151.

The original deposit of this dataset was made in 1999, and contained data from BHPS waves 1-7. Subsequent editions were updated in conjunction with successive waves of BHPS. For the eighth edition (November 2008), new data for Waves 15 and 16 have been added to the study and data for Waves 1–14 and the documentation have been updated. For the ninth edition (April 2012), new data for Waves 17 and 18 have been added and the documentation has been updated accordingly.

Estimates of annual household income for the four income types for Middle layer Super Output Areas, or local areas, in England and Wales.

In 2024, Massachusetts recorded the highest median household income in the United States, at 113,900 U.S. dollars. On the other hand, Mississippi, recorded the lowest, at 55,980 U.S. dollars. Overall, the median income for households in the U.S. was at 83,730 U.S. dollars that year.

U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

Graph and download economic data for Median Household Income in California (MEHOINUSCAA646N) from 1984 to 2024 about CA, households, median, income, and USA.

🇬🇧 United Kingdom English The small area model-based income estimates are the official estimates of average (mean) household income at the middle layer super output area (MSOA) level in England and Wales for 2011/12, 2013/14 and 2015/16. For 2015-16 the figures are average annual income. For 2013/14 and 2011/12 the figures are average weekly income. They are calculated using a model based method to produce the following four estimates of income using a combination of survey data from the Family Resources Survey, and previously published data from the 2011 Census and a number of administrative data sources. The four different measures of income are: Total household income Net household income Net household income (equivalised) before housing costs Net household income (equivalised) after housing costs Total annual household income is the sum of the gross income of every member of the household plus any income from benefits such as Working Families Tax Credit. Net annual household income is the sum of the net income of every member of the household. It is calculated using the same components as total income but income is net of: income tax payments; national insurance contributions; domestic rates/council tax; contributions to occupational pension schemes; all maintenance and child support payments, which are deducted from the income of the person making the payments; and

About this dataset

Context

The dataset tabulates the median household income in Missouri. It can be utilized to understand the trend in median household income and to analyze the income distribution in Missouri by household type, size, and across various income brackets.

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).

• Missouri Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Missouri: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Missouri
• Missouri households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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 Missouri median household income. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Arlington, Massachusetts, 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 26,539, while the mean income for the highest quintile (20% of households with the highest income) is 430,133. This indicates that the top earners earn 16 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 751,866, which is 174.80% higher compared to the highest quintile, and 2833.06% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/arlington-ma-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Arlington, Massachusetts (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 Arlington town median household income. You can refer the same here

This table contains data on income inequality. The primary measure is the Gini index – a measure of the extent to which the distribution of income among families/households within a community deviates from a perfectly equal distribution. The index ranges from 0.0, when all families (households) have equal shares of income (implies perfect equality), to 1.0 when one family (household) has all the income and the rest have none (implies perfect inequality). Index data is provided for California and its counties, regions, and large cities/towns. The data is from the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Income is linked to acquiring resources for healthy living. Both household income and the distribution of income across a society independently contribute to the overall health status of a community. On average Western industrialized nations with large disparities in income distribution tend to have poorer health status than similarly advanced nations with a more equitable distribution of income. Approximately 119,200 (5%) of the 2.4 million U.S. deaths in 2000 are attributable to income inequality. The pathways by which income inequality act to increase adverse health outcomes are not known with certainty, but policies that provide for a strong safety net of health and social services have been identified as potential buffers. More information about the data table and a data dictionary can be found in the About/Attachments section.

Czech Republic Household Income: by Head Status (HS): per Capita Avg: Net data was reported at 259,850.000 CZK in 2023. This records an increase from the previous number of 241,160.000 CZK for 2022. Czech Republic Household Income: by Head Status (HS): per Capita Avg: Net data is updated yearly, averaging 150,488.000 CZK from Dec 2001 (Median) to 2023, with 23 observations. The data reached an all-time high of 259,850.000 CZK in 2023 and a record low of 90,166.821 CZK in 2001. Czech Republic Household Income: by Head Status (HS): per Capita Avg: Net data remains active status in CEIC and is reported by Czech Statistical Office. The data is categorized under Global Database’s Czech Republic – Table CZ.H015: Household Income and Expenditure: per Capita Average.