These tables only cover individuals with some liability to tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.
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.
The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.
Households in the bottom decile in the United Kingdom earned, on average, ****** British pounds per year in 2022/23, compared with the top decile which earned ******* pounds per year.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.
Households in the lower income quantiles in England in 2024 were more likely to own a household outright than to be currently buying with a mortgage. As the weekly gross income of a household goes up, so does the likelihood that it occupies a home purchased with a mortgage. Of households in the first quantile (lowest income), *** percent were buying with a mortgage, compared to **** percent in the fifth quantile (highest income).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the England median household income by race. The dataset can be utilized to understand the racial distribution of England income.
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).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of England median household income by race. You can refer the same here
This statistic shows the distribution households by total weekly gross household income in the United Kingdom (UK) in the fiscal year 2017/18. In this year, ** percent of the households had a total weekly gross income of 1,000 British pounds or more.
The median annual earnings in the United Kingdom was 37,430 British pounds per year in 2024. Annual earnings varied significantly by region, ranging from 47,455 pounds in London to 32,960 pounds in the North East. Along with London, two other areas of the UK had median annual earnings above the UK average; South East England, and Scotland, at 39,038 pounds and 38,315 pounds respectively. Regional Inequality in the UK Various other indicators highlight the degree of regional inequality in the UK, especially between London and the rest of the country. Productivity in London, as measured by output per hour, was 26.2 percent higher than the UK average. By comparison, every other UK region, except the South East, fell below the UK average for productivity. In gross domestic product per head, London was also an outlier. The average GDP per head in the UK was just over 37,000 pounds in 2023, but for London it was almost 64,000 pounds. Again, the South East's GDP per head was slightly above the UK average, with every other region below it. Within London itself, there is also a great degree of inequality. In 2023, for example, the average earnings in Kensington and Chelsea were 964 pounds per week, compared with 675 pounds in Barking and Dagenham. Wages continue to grow in 2025 In March 2025, weekly wages in the UK were growing by around 5.6 percent, or 1.8 percent when adjusted for inflation. For almost two years, wages have grown faster than inflation after a long period where prices were rising faster than wages between 2021 and 2023. This was due to a sustained period of high inflation in the UK, which peaked in October 2022 at 11.1 percent. Although inflation started to slow the following month, it wasn't until June 2023 that wages started to outpace inflation. By this point, the damage caused by high energy and food inflation had led to the the worst Cost of Living Crisis in the UK for a generation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the England household income by gender. The dataset can be utilized to understand the gender-based income distribution of England income.
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).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of England income distribution by gender. You can refer the same here
This is the 23rd edition of the households below average income (HBAI) series.
This section includes an overview of the background, changes over time and shows:
This section includes the glossary and definitions of the terms used in the report, and more detail on HBAI methodology.
Find out how low income is measured.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in England. It can be utilized to understand the trend in median household income and to analyze the income distribution in England by household type, size, and across various income brackets.
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).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of England median household income. You can refer the same here
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
FOCUSON**LONDON**2010:**INCOME**AND**SPENDING**AT**HOME** Household income in London far exceeds that of any other region in the UK. At £900 per week, London’s gross weekly household income is 15 per cent higher than the next highest region. Despite this, the costs to each household are also higher in the capital. Londoners pay a greater amount of their income in tax and national insurance than the UK average as well as footing a higher bill for housing and everyday necessities. All of which leaves London households less well off than the headline figures suggest. This chapter, authored by Richard Walker in the GLA Intelligence Unit, begins with an analysis of income at both individual and household level, before discussing the distribution and sources of income. This is followed by a look at wealth and borrowing and finally, focuses on expenditure including an insight to the cost of housing in London, compared with other regions in the UK. See other reports from this Focus on London series. REPORT: To view the report online click on the image below. Income and Spending Report PDF https://londondatastore-upload.s3.amazonaws.com/fol/fol10-income-cover-thumb1.png" alt="Alt text"> PRESENTATION: This interactive presentation finds the answer to the question, who really is better off, an average London or UK household? This analysis takes into account available data from all types of income and expenditure. Click on the link to access. PREZI The Prezi in plain text version RANKINGS:
https://londondatastore-upload.s3.amazonaws.com/fol/fol10-income-tableau-chart-thumb.jpg" alt="Alt text"> This interactive chart shows some key borough level income and expenditure data. This chart helps show the relationships between five datasets. Users can rank each of the indicators in turn. Borough rankings Tableau Chart MAP: These interactive borough maps help to geographically present a range of income and expenditure data within London. Interactive Maps - Instant Atlas DATA: All the data contained within the Income and Spending at Home report as well as the data used to create the charts and maps can be accessed in this spreadsheet. Report data FACTS: Some interesting facts from the data… ● Five boroughs with the highest median gross weekly pay per person in 2009: -1. Kensington & Chelsea - £809 -2. City of London - £767 -3. Westminster - £675 -4. Wandsworth - £636 -5. Richmond - £623 -32. Brent - £439 -33. Newham - £422 ● Five boroughs with the highest median weekly rent for a 2 bedroom property in October 2010: -1. Kensington & Chelsea - £550 -2. Westminster - £500 -3. City of London - £450 -4. Camden - £375 -5. Islington - £360 -32. Havering - £183 -33. Bexley - £173 ● Five boroughs with the highest percentage of households that own their home outright in 2009: -1. Bexley – 38 per cent -2. Havering – 36 per cent -3. Richmond – 32 per cent -4. Bromley – 31 per cent -5. Barnet – 28 per cent -31. Tower Hamlets – 9 per cent -32. Southwark – 9 per cent
This layer shows the purchasing power per capita in United Kingdom in 2023, in a multiscale map (United Kingdom, Country, Region, County, District, Lower Super Output Area, and Census Output Area). Nationally, the purchasing power per capita is 22,986 British pound. Purchasing Power describes the disposable income (income without taxes and social security contributions, including received transfer payments) of a certain area's population. The figures are in British pound (GBP) per capita.The pop-up is configured to show the following information at each geography level:Purchasing power per capitaPurchasing power per capita by various categoriesThe source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in February, 2024 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in England, AR, 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) 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 England median household income. You can refer the same here
The overall wealth of households in the United Kingdom was **** trillion British pounds in the period between 2020 and 2022. Of this overall wealth, the top ten percent of households had over *** trillion pounds of wealth, compared with **** billion owned by the lowest wealth decile.
This statistic displays the income distribution of Sport England in England from 2014/15 to 2020/21, by source. In 2019/20, Sport England generated approximately ****** million British pounds of income through Grant-in-Aid.
This is the 24th edition of the households below average income (HBAI) series.
Find out how low income is measured.
This section includes an overview of the background, changes over time and shows:
This section includes the glossary and definitions of the terms used in the report, and more detail on HBAI methodology.
This statistic presents the wealth distribution among households in the United Kingdom (UK) in 2018. Approximately **** percent adults in the United Kingdom found themselves in the bracket of between 100 thousand and *********** U.S. dollars as their household private wealth.
The statistic shows the percent of households in the United Kingdom that own a mobile phone based on their gross income decile group, in 2018. In this year, 85 percent of respondents in the lowest ten percent income group owned a mobile phone. In the highest ten percent income group, 99 percent of respondents owned a mobile phone.
These tables only cover individuals with some liability to tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.