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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.
As of 2021, households in the United Kingdom where the head of the household was of an other ethnic background had the highest proportion of household income earning more than 2,000 pounds a week, at 11 percent.
The median hourly pay in 2022 for White British employees was 14.30 pounds per hour, while people belonging to the Asian Other category received a median of 21.09 pounds per hour, which was the highest hourly pay in the hourly earnings shown. White and Black Caribbean employees had the lowest median hourly earnings in 2022, at 11.63 pounds per hour, followed by Bangladeshi employees, at just over 12 pounds per hour
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The data measures the weekly income before tax of households from different ethnic groups in the UK. It includes the total income of everyone who lives in the household.
The data comes from the Family Resources Survey and is published on 'Ethnicity facts and figures'.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in England. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of England population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 68.50% of the total residents in England. Notably, the median household income for White households is $62,500. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $62,500.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 by race. You can refer the same here
This statistic shows the share families that have received income-related benefits in the United Kingdom (UK) in the period from 2015 to 2018, by ethnic group of household head. In this period, 29 percent of the families with head of the family being black/African black/Caribbean or British black received some form of income-related benefit.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Data for update on feasibility research producing income by ethnicity statistics for England and Wales from administrative data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in England. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 by race. You can refer the same here
Accessible Tables and Improved Quality
As part of the Analysis Function Reproducible Analytical Pipeline Strategy, processes to create all National Travel Survey (NTS) statistics tables have been improved to follow the principles of Reproducible Analytical Pipelines (RAP). This has resulted in improved efficiency and quality of NTS tables and therefore some historical estimates have seen very minor change, at least the fifth decimal place.
All NTS tables have also been redesigned in an accessible format where they can be used by as many people as possible, including people with an impaired vision, motor difficulties, cognitive impairments or learning disabilities and deafness or impaired hearing.
If you wish to provide feedback on these changes then please contact us.
NTS0701: https://assets.publishing.service.gov.uk/media/66ce119ebc00d93a0c7e1f7a/nts0701.ods">Average number of trips, miles and time spent travelling by household car availability and personal car access: England, 2002 onwards (ODS, 36.5 KB)
NTS0702: https://assets.publishing.service.gov.uk/media/66ce119e4e046525fa39cf85/nts0702.ods">Travel by personal car access, sex and mode: England, 2002 onwards (ODS, 87.7 KB)
NTS0703: https://assets.publishing.service.gov.uk/media/66ce119f8e33f28aae7e1f7c/nts0703.ods">Household car availability by household income quintile: England, 2002 onwards (ODS, 17.4 KB)
NTS0704: https://assets.publishing.service.gov.uk/media/66ce119fface0992fa41f65e/nts0704.ods">Adult personal car access by household income quintile, aged 17 and over: England, 2002 onwards (ODS, 22.5 KB)
NTS0705: https://assets.publishing.service.gov.uk/media/66ce119f8e33f28aae7e1f7d/nts0705.ods">Average number of trips and miles by household income quintile and mode: England, 2002 onwards (ODS, 78.6 KB)
NTS0706: https://assets.publishing.service.gov.uk/media/66ce119f1aaf41b21139cf87/nts0706.ods">Average number of trips and miles by household type and mode: England, 2002 onwards (ODS, 89.8 KB)
NTS0707: https://assets.publishing.service.gov.uk/media/66ce119f4e046525fa39cf86/nts0707.ods">Adult personal car access and trip rates, by ethnic group, aged 17 and over: England, 2002 onwards (ODS, 28.2 KB)
NTS0708: https://assets.publishing.service.gov.uk/media/66ce119f1aaf41b21139cf88/nts0708.ods">Average number of trips and miles by National Statistics Socio-economic Classification and mode, aged 16 and over: England, 2004 onwards (<abbr title="OpenDocument Spreadsheet" class=
This statistic shows the share of gross household income from wages and salaries in the United Kingdom (UK) in the period 2017/18 by ethnic group of household head. In this period, 68 percent of the gross income of Asian or Asian British households came from wages and salaries.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
In 2022, employed people in the white ‘other’ and Indian ethnic groups (both 82%) were the most likely to work full time out of all ethnic groups.
In 2019 white people in England and Wales had an average hourly income that was 2.3 percent larger than that of ethnic minority groups. This was the lowest percentage difference recorded during this time period, with the highest difference recorded in 2014, when the average difference in hourly earnings was 8.4 percent.
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
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
In 2022, the highest and lowest rates of economic inactivity were in the combined Pakistani and Bangladeshi (33%) and white 'other’ (15%) ethnic groups.
Biennial statistics on the representation of ethnic groups as victims, suspects, defendants offenders and employees in the criminal justice system.
These reports are released by the Ministry of Justice (MoJ) and produced in accordance with arrangements approved by the UK Statistics Authority.
This publication compiles statistics from data sources across the Criminal Justice System (CJS), to provide a combined perspective on the typical experiences of different ethnic groups. No causative links can be drawn from these summary statistics, and no controls have been applied to account for differences in circumstances between groups (e.g. average income or age); differences observed may indicate areas worth further investigation, but should not be taken as evidence of bias or as direct effects of ethnicity.
In general, Non-White ethnic groups tend to be over-represented at most stages throughout the CJS, compared with the White ethnic group. Among non-White groups, Black and Mixed individuals were often the most over-represented. Trends over time for each ethnic group have tended to mirror overall trends, with little change in relative positions between ethnic groups.
The proportion of the prison population varied greatly between ethnic groups: there were around 16 prisoners for every 10,000 people, similar to the White and Asian rates, but this includes only 5 prisoners for each 10,000 Chinese or Other population members, and 47 and 58 prisoners for each 10,000 Mixed and Black population members respectively.
Non-White ethnic groups were under-represented relative to the population among the police, National Offender Management Service , judiciary and magistracy with proportions increasing slowly or remaining the same over the last 5 years. Non-White ethnic groups were over-represented relative to the population among the Ministry of Justice and Crown Prosecution Service with proportions increasing over the last 5 years.
The bulletin is produced and handled by the ministry’s analytical profe
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Regression results from pay regression model for 2022 across different ethnicity breakdowns using the Annual Population Survey, UK.
The median hourly pay and percentage difference in 2019 between hourly earnings with white British employees was greater between men than between women. White Irish male employees earned a median of 17.80 pounds per hour, while Bangladeshi male employees earned a median of 10.41 pounds per hour. In comparison, white Irish female employees earned a median of 16.93 pounds per hour, while Bangladeshi female employees earned a median of 10.60 pounds per hour. The highest median hourly pay was seen for Chinese male employees, at 18.05 pounds per hour. Chinese female employees also earned a high hourly pay, at 14.16 pounds per hour. Female white and black Caribbean female employees experienced the lowest median hourly pay in 2019, at just 9.71 pounds per hour.
The information is presented on a region basis for England.
These statistics are classified as accredited official statistics.
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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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Supporting dataset using data from Census, Pay As You Earn (PAYE) and National Benefits Database. Tables contain data on earnings progression and geographic mobility from tax year ending 2012 to tax year ending 2016, broken down by characteristics such as age, sex, ethnicity, qualification level and local authority. The dataset also includes regression model output tables.
During a 2023 survey carried out among more than 3,000 marketers from the United Kingdom, it was found that marketers who identified as white had the highest average full-time earnings, with 64.71 thousand British pounds annually. Black/African Caribbean/Black British was the lowest-paid group, with 48.53 thousand pounds annually.
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.