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This dataset contains the scores underlying the Index of Multiple Deprivation, 2010. These figures combine values of many indicators into a single score that indicates the overall level of deprivation in each LSOA. A high number indicates a high level of deprivation.
The English Indices of Deprivation provide a relative measure of deprivation at small area level across England. Areas are ranked from least deprived to most deprived on seven different dimensions of deprivation and an overall composite measure of multiple deprivation. Most of the data underlying the 2010 indices are for the year 2008.
The indices have been constructed by the Social Disadvantage Research Centre at the University of Oxford for the Department for Communities and Local Government. All figures can only be reproduced if the source (Department for Communities and Local Government, Indices of Deprivation 2010) is fully acknowledged.
The domains used in the Indices of Deprivation 2010 are: income deprivation; employment deprivation; health deprivation and disability; education deprivation; crime deprivation; barriers to housing and services deprivation; and living environment deprivation. Each of these domains has its own scores and ranks, allowing users to focus on specific aspects of deprivation.
Because the indices give a relative measure, they can tell you if one area is more deprived than another but not by how much. For example, if an area has a rank of 40 it is not half as deprived as a place with a rank of 20.
The Index of Multiple Deprivation was constructed by combining scores from the seven domains. When comparing areas, a higher deprivation score indicates a higher proportion of people living there who are classed as deprived. But as for ranks, deprivation scores can only tell you if one area is more deprived than another, but not by how much.
This dataset was created from a spreadsheet provided by the Department of Communities and Local Government, which can be downloaded here.
The method for calculating the IMD score and underlying indicators is detailed in the report 'The English Indices of Deprivation 2010: Technical Report'.
The data is represented here as Linked Data, using the Data Cube ontology.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
In 2019, people from most ethnic minority groups were more likely than White British people to live in the most deprived neighbourhoods.
The Area Deprivation Index (ADI) can show where areas of deprivation and affluence exist within a community. The ADI is calculated with 17 indicators from the American Community Survey (ACS) having been well-studied in the peer-reviewed literature since 2003, and used for 20 years by the Health Resources and Services Administration (HRSA). High levels of deprivation have been linked to health outcomes such as 30-day hospital readmission rates, cardiovascular disease deaths, cervical cancer incidence, cancer deaths, and all-cause mortality. The 17 indicators from the ADI encompass income, education, employment, and housing conditions at the Census Block Group level.The ADI is available on BigQuery for release years 2018-2020 and is reported as a percentile that is 0-100% with 50% indicating a "middle of the nation" percentile. Data is provided at the county, ZIP, and Census Block Group levels. Neighborhood and racial disparities occur when some neighborhoods have high ADI scores and others have low scores. A low ADI score indicates affluence or prosperity. A high ADI score is indicative of high levels of deprivation. Raw ADI scores and additional statistics and dataviz can be seen in this ADI story with a BroadStreet free account.Much of the ADI research and popularity would not be possible without the excellent work of Dr. Amy Kind and colleagues at HIPxChange and at The University of Wisconsin Madison.This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery. 자세히 알아보기
These statistics update the English indices of deprivation 2015.
The English indices of deprivation measure relative deprivation in small areas in England called lower-layer super output areas. The index of multiple deprivation is the most widely used of these indices.
The statistical release and FAQ document (above) explain how the Indices of Deprivation 2019 (IoD2019) and the Index of Multiple Deprivation (IMD2019) can be used and expand on the headline points in the infographic. Both documents also help users navigate the various data files and guidance documents available.
The first data file contains the IMD2019 ranks and deciles and is usually sufficient for the purposes of most users.
Mapping resources and links to the IoD2019 explorer and Open Data Communities platform can be found on our IoD2019 mapping resource page.
Further detail is available in the research report, which gives detailed guidance on how to interpret the data and presents some further findings, and the technical report, which describes the methodology and quality assurance processes underpinning the indices.
We have also published supplementary outputs covering England and Wales.
ADI: An index of socioeconomic status for communities. Dataset ingested directly from BigQuery.
The Area Deprivation Index (ADI) can show where areas of deprivation and affluence exist within a community. The ADI is calculated with 17 indicators from the American Community Survey (ACS) having been well-studied in the peer-reviewed literature since 2003, and used for 20 years by the Health Resources and Services Administration (HRSA). High levels of deprivation have been linked to health outcomes such as 30-day hospital readmission rates, cardiovascular disease deaths, cervical cancer incidence, cancer deaths, and all-cause mortality. The 17 indicators from the ADI encompass income, education, employment, and housing conditions at the Census Block Group level.
The ADI is available on BigQuery for release years 2018-2020 and is reported as a percentile that is 0-100% with 50% indicating a "middle of the nation" percentile. Data is provided at the county, ZIP, and Census Block Group levels. Neighborhood and racial disparities occur when some neighborhoods have high ADI scores and others have low scores. A low ADI score indicates affluence or prosperity. A high ADI score is indicative of high levels of deprivation. Raw ADI scores and additional statistics and dataviz can be seen in this ADI story with a BroadStreet free account.
Dataset source: https://help.broadstreet.io/article/adi/
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License information was derived automatically
This dataset provides detailed information on the 2019 Index of Multiple Deprivation (IMD) for Birmingham, UK. The data is available at the postcode level and includes the Lower Layer Super Output Area (LSOA) information.Data is provided at the LSOA 2011 Census geography.The decile score ranges from 1-10 with decile 1 representing the most deprived 10% of areas while decile 10 representing the least deprived 10% of areas.The IMD rank and decile score is allocated to the LSOA and all postcodes within it at the time of creation (2019).Note that some postcodes cross over LSOA boundaries. The Office for National Statistics sets boundaries for LSOAs and allocates every postcode to one LSOA only: this is the one which contains the majority of residents in that postcode area (as at 2011 Census).
The English Indices of Deprivation 2019 provide detailed measures of relative deprivation across small areas in England. The Employment Deprivation dataset is a crucial part of this index, highlighting the proportion of the working-age population that is involuntarily excluded from the labor market. This includes individuals who are unemployed, those who are unable to work due to illness or disability, and those who are caring for others. The dataset helps identify areas with high levels of employment deprivation, guiding policy interventions and resource allocation to improve employment opportunities and reduce socio-economic disparities.
Further information may be found on the the ELSA project website or the Natcen Social Research: ELSA web pages.
Health conditions research with ELSA - June 2021
The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact the ELSA Data team at NatCen on elsadata@natcen.ac.uk for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease).
Special Licence Data:
Special Licence Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section below). Users are advised to obtain the latest edition of SN 5050 (the End User Licence version) before making an application for Special Licence data, to see whether that is suitable for their needs. A separate application must be made for each Special Licence study.
Special Licence Access versions of ELSA include:
Where boundary changes have occurred, the geographic identifier has been split into two separate studies to reduce the risk of disclosure. Users are also only allowed one version of each identifier:
ELSA Wave 6 and Wave 8 Self-Completion Questionnaires included an open-ended question where respondents could add any other comments they may wish to note down. These responses have been transcribed and anonymised. Researchers can request access to these transcribed responses for research purposes by contacting the ELSA Data Team at NatCen.
The data here shows indicator data (that underlies the Welsh Index of Multiple Deprivation or WIMD), broken down by age. WIMD is the Welsh Government’s official measure of relative deprivation for small areas in Wales. It is designed to identify small areas where there are the highest concentrations of several different types of deprivation. The full index is only updated every 4 to 5 years but some of the indicators are updated in the interim period. Most indicators are available down to Lower Super Output Area level. This is a geography that is built from census data – it aims to outline small areas with a population between 1,000 and 3,000 people.
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License information was derived automatically
Income percentage. High percentages indicate greater deprivation. Sourced from the Index of Multiple Deprivation (IMD) release.
Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.
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The Department of Communities and Local Government (DCLG) has released the English Indices of Deprivation 2015 (ID2015), which updates the 2010 indices of the same name. The indices are combined together to form the composite Index of Multiple Deprivation (IMD).
The IMD measures relative deprivation across small areas of England called Lower Super Output Areas (LSOAs). Datasets come from 2015, 2010 and 2007. Whilst historical datasets can be compared, there are caveats:
• LSOA definitions have changed between the 2015 and 2010 releases. As such, some locations will not be comparable at all.
• The variables used to define each indices of deprivation have been updated with each publication. As such, changes in apparent deprivation may reflect these changes in methodology rather than actual changes in local circumstance.
Compared to 2010, four out of the five Cambridgeshire districts now rank as more deprived nationally; Cambridge City ranks as less deprived.
Cambridgeshire now (in IMD 2015) has 16 LSOAs in the 20% most deprived nationally – this is compared to 9 in 2010. Two are in Cambridge City, two are in Huntingdonshire and 12 are in Fenland. Four Fenland LSOAs are in the 10% most deprived nationally.
As with 2007 and 2010, Fenland has the highest levels of deprivation in Cambridgeshire, followed by Cambridge City, East Cambridgeshire, Huntingdonshire then South Cambridgeshire.
Linked below are:
• IMD2015 data for Cambridgeshire and Peterborough
• Map of IMD2015 national rankings for Cambridgeshire and Peterborough
• IMD2010 and 2007 data for Cambridgeshire.
The Global Gridded Relative Deprivation Index (GRDI), Version 1 (GRDIv1) data set characterizes the relative levels of multidimensional deprivation and poverty in each 30 arc-second (~1 km) pixel, where a value of 100 represents the highest level of deprivation and a value of 0 the lowest. GRDIv1 is built from sociodemographic and satellite data inputs that were spatially harmonized, indexed, and weighted into six main components to produce the final index raster. Inputs were selected from the best-available data that either continuously vary across space or have at least administrative level 1 (provincial/state) resolution, and which have global spatial coverage.
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Romania - Severely materially deprived people: Severe material deprivation was 15.20% in December of 2020, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Romania - Severely materially deprived people: Severe material deprivation - last updated from the EUROSTAT on July of 2025. Historically, Romania - Severely materially deprived people: Severe material deprivation reached a record high of 38.00% in December of 2007 and a record low of 14.50% in December of 2019.
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Area Deprivation Index state score in 2020. The Area Deprivation Index (ADI) ranks neighborhoods on the basis of socioeconomic disadvantage in the areas of income, education, employment, and housing quality. Areas with greater disadvantage are ranked higher. National scores are normalized to the whole country, and state scores are normalized to a particular state. Higher Area Deprivation Index scores have been shown to correlate with worse health outcomes in measures such as life expectancy. This index was created by researchers at the University of Wisconsin-Madison based on a methodology originally developed by the Health Resources and Services Administration. Areas on this map are ranked against other areas within the state. State scores represent deciles. In other words, they are divided into 10 groups of the same size, where 1 is the lowest rate of disadvantage and 10 is the highest.
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Fuzzy sets (high or low deprivation) associated with each local linear model in the TS system model constructed by ω-value index (D = high deprivation score, ‘ – ‘ = low deprivation score).
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ID 2004 Health Deprivation and Disability Domain (high rates of premature death, poor health or disability) Source: Office of the Deputy Prime Minister (ODPM): ID 2004 Publisher: Communities and Local Government (CLG) Geographies: Lower Layer Super Output Area (LSOA) Geographic coverage: England Time coverage: 2004 (using data from 1997 to 2002) Type of data: Administrative data (with statistical transformations applied)
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Income percentage. High percentages indicate greater deprivation. Sourced from the Index of Multiple Deprivation (IMD) release.
Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Poland - Severe material deprivation rate was 2.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Severe material deprivation rate - last updated from the EUROSTAT on July of 2025. Historically, Poland - Severe material deprivation rate reached a record high of 15.00% in December of 2009 and a record low of 2.30% in December of 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Finland - Severe material deprivation rate was 3.70% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Severe material deprivation rate - last updated from the EUROSTAT on July of 2025. Historically, Finland - Severe material deprivation rate reached a record high of 3.70% in December of 2024 and a record low of 1.00% in December of 2015.
The English Indices of Multiple Deprivation (IMD) 2019 were published on 26th September 2019. The data sources used in each indicator were based on data from the most recent time point available. For the highest weighted domains (Income and Employment) indicators in the IMD 2019 relate to a 2015/16 time point. It is the official measure of relative deprivation for small areas (also known as LSOAs) or neighbourhoods in England. It scores and ranks each area using these seven different dimensions or domains each of which is based on a basket of indicators:
• Income Deprivation
• Employment Deprivation
• Education, Skills & Training Deprivation
• Health Deprivation & Disability
• Crime
• Barriers to Housing and Services
• Living Environment Deprivation
The data combines information from the domains to produce an overall relative measure of deprivation. In addition there are two supplementary indices: the Income Deprivation Affecting Children Index (IDACI) and the Income Deprivation Affecting Older People Index (IDAOPI).
The indices of multiple deprivation dataset does not indicate absolute improvement or worsening of local deprivation. More information can be found in MHCLG's Research Report.
To access the data, please see this other dataset
The Department of Communities and Local Government (DCLG) has released the English Indices of Deprivation 2019 which updates the English Indices of Deprivation 2015 (ID2015), which updates the 2010 indices of the same name. The indices are combined together to form the composite Index of Multiple Deprivation (IMD).
The IMD measures relative deprivation across small areas of England called Lower Super Output Areas (LSOAs). Datasets come from 2015, 2010 and 2007. Whilst historical datasets can be compared, there are caveats:
• LSOA definitions have changed between the 2015 and 2010 releases. As such, some locations will not be comparable at all.
• The variables used to define each indices of deprivation have been updated with each publication. As such, changes in apparent deprivation may reflect these changes in methodology rather than actual changes in local circumstance.
Compared to 2010, four out of the five Cambridgeshire districts now rank as more deprived nationally; Cambridge City ranks as less deprived.
Cambridgeshire now (in IMD 2015) has 16 LSOAs in the 20% most deprived nationally – this is compared to 9 in 2010. Two are in Cambridge City, two are in Huntingdonshire and 12 are in Fenland. Four Fenland LSOAs are in the 10% most deprived nationally.
As with 2007 and 2010, Fenland has the highest levels of deprivation in Cambridgeshire, followed by Cambridge City, East Cambridgeshire, Huntingdonshire then South Cambridgeshire.
Linked below are:
• IMD2015 data for Cambridgeshire and Peterborough
• Map of IMD2015 national rankings for Cambridgeshire and Peterborough
• IMD2010 and 2007 data for Cambridgeshire.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset contains the scores underlying the Index of Multiple Deprivation, 2010. These figures combine values of many indicators into a single score that indicates the overall level of deprivation in each LSOA. A high number indicates a high level of deprivation.
The English Indices of Deprivation provide a relative measure of deprivation at small area level across England. Areas are ranked from least deprived to most deprived on seven different dimensions of deprivation and an overall composite measure of multiple deprivation. Most of the data underlying the 2010 indices are for the year 2008.
The indices have been constructed by the Social Disadvantage Research Centre at the University of Oxford for the Department for Communities and Local Government. All figures can only be reproduced if the source (Department for Communities and Local Government, Indices of Deprivation 2010) is fully acknowledged.
The domains used in the Indices of Deprivation 2010 are: income deprivation; employment deprivation; health deprivation and disability; education deprivation; crime deprivation; barriers to housing and services deprivation; and living environment deprivation. Each of these domains has its own scores and ranks, allowing users to focus on specific aspects of deprivation.
Because the indices give a relative measure, they can tell you if one area is more deprived than another but not by how much. For example, if an area has a rank of 40 it is not half as deprived as a place with a rank of 20.
The Index of Multiple Deprivation was constructed by combining scores from the seven domains. When comparing areas, a higher deprivation score indicates a higher proportion of people living there who are classed as deprived. But as for ranks, deprivation scores can only tell you if one area is more deprived than another, but not by how much.
This dataset was created from a spreadsheet provided by the Department of Communities and Local Government, which can be downloaded here.
The method for calculating the IMD score and underlying indicators is detailed in the report 'The English Indices of Deprivation 2010: Technical Report'.
The data is represented here as Linked Data, using the Data Cube ontology.