10 datasets found
  1. w

    Indices of Deprivation

    • data.wu.ac.at
    • data.europa.eu
    csv, pdf, xls, xlsx
    Updated Aug 23, 2018
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    Cambridgeshire Insight (2018). Indices of Deprivation [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/NWYzODNhYjgtZTE5Yi00MWZkLWE2NDEtNzdkMGQxZDI2NDcw
    Explore at:
    xlsx(230876.0), csv(81397.0), csv(38522.0), csv(66182.0), pdf(4844899.0), xls(288768.0), csv(87050.0), xlsx(84962.0), csv(49991.0), csv(56554.0)Available download formats
    Dataset updated
    Aug 23, 2018
    Dataset provided by
    Cambridgeshire Insight
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  2. Evidence for Community Transmission of Community-Associated but Not...

    • plos.figshare.com
    docx
    Updated Jun 4, 2023
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    Olga Tosas Auguet; Jason R. Betley; Richard A. Stabler; Amita Patel; Avgousta Ioannou; Helene Marbach; Pasco Hearn; Anna Aryee; Simon D. Goldenberg; Jonathan A. Otter; Nergish Desai; Tacim Karadag; Chris Grundy; Michael W. Gaunt; Ben S. Cooper; Jonathan D. Edgeworth; Theodore Kypraios (2023). Evidence for Community Transmission of Community-Associated but Not Health-Care-Associated Methicillin-Resistant Staphylococcus Aureus Strains Linked to Social and Material Deprivation: Spatial Analysis of Cross-sectional Data [Dataset]. http://doi.org/10.1371/journal.pmed.1001944
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Olga Tosas Auguet; Jason R. Betley; Richard A. Stabler; Amita Patel; Avgousta Ioannou; Helene Marbach; Pasco Hearn; Anna Aryee; Simon D. Goldenberg; Jonathan A. Otter; Nergish Desai; Tacim Karadag; Chris Grundy; Michael W. Gaunt; Ben S. Cooper; Jonathan D. Edgeworth; Theodore Kypraios
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundIdentifying and tackling the social determinants of infectious diseases has become a public health priority following the recognition that individuals with lower socioeconomic status are disproportionately affected by infectious diseases. In many parts of the world, epidemiologically and genotypically defined community-associated (CA) methicillin-resistant Staphylococcus aureus (MRSA) strains have emerged to become frequent causes of hospital infection. The aim of this study was to use spatial models with adjustment for area-level hospital attendance to determine the transmission niche of genotypically defined CA- and health-care-associated (HA)-MRSA strains across a diverse region of South East London and to explore a potential link between MRSA carriage and markers of social and material deprivation.Methods and FindingsThis study involved spatial analysis of cross-sectional data linked with all MRSA isolates identified by three National Health Service (NHS) microbiology laboratories between 1 November 2011 and 29 February 2012. The cohort of hospital-based NHS microbiology diagnostic services serves 867,254 usual residents in the Lambeth, Southwark, and Lewisham boroughs in South East London, United Kingdom (UK). Isolates were classified as HA- or CA-MRSA based on whole genome sequencing. All MRSA cases identified over 4 mo within the three-borough catchment area (n = 471) were mapped to small geographies and linked to area-level aggregated socioeconomic and demographic data. Disease mapping and ecological regression models were used to infer the most likely transmission niches for each MRSA genetic classification and to describe the spatial epidemiology of MRSA in relation to social determinants. Specifically, we aimed to identify demographic and socioeconomic population traits that explain cross-area extra variation in HA- and CA-MRSA relative risks following adjustment for hospital attendance data. We explored the potential for associations with the English Indices of Deprivation 2010 (including the Index of Multiple Deprivation and several deprivation domains and subdomains) and the 2011 England and Wales census demographic and socioeconomic indicators (including numbers of households by deprivation dimension) and indicators of population health. Both CA-and HA-MRSA were associated with household deprivation (CA-MRSA relative risk [RR]: 1.72 [1.03–2.94]; HA-MRSA RR: 1.57 [1.06–2.33]), which was correlated with hospital attendance (Pearson correlation coefficient [PCC] = 0.76). HA-MRSA was also associated with poor health (RR: 1.10 [1.01–1.19]) and residence in communal care homes (RR: 1.24 [1.12–1.37]), whereas CA-MRSA was linked with household overcrowding (RR: 1.58 [1.04–2.41]) and wider barriers, which represent a combined score for household overcrowding, low income, and homelessness (RR: 1.76 [1.16–2.70]). CA-MRSA was also associated with recent immigration to the UK (RR: 1.77 [1.19–2.66]). For the area-level variation in RR for CA-MRSA, 28.67% was attributable to the spatial arrangement of target geographies, compared with only 0.09% for HA-MRSA. An advantage to our study is that it provided a representative sample of usual residents receiving care in the catchment areas. A limitation is that relationships apparent in aggregated data analyses cannot be assumed to operate at the individual level.ConclusionsThere was no evidence of community transmission of HA-MRSA strains, implying that HA-MRSA cases identified in the community originate from the hospital reservoir and are maintained by frequent attendance at health care facilities. In contrast, there was a high risk of CA-MRSA in deprived areas linked with overcrowding, homelessness, low income, and recent immigration to the UK, which was not explainable by health care exposure. Furthermore, areas adjacent to these deprived areas were themselves at greater risk of CA-MRSA, indicating community transmission of CA-MRSA. This ongoing community transmission could lead to CA-MRSA becoming the dominant strain types carried by patients admitted to hospital, particularly if successful hospital-based MRSA infection control programmes are maintained. These results suggest that community infection control programmes targeting transmission of CA-MRSA will be required to control MRSA in both the community and hospital. These epidemiological changes will also have implications for effectiveness of risk-factor-based hospital admission MRSA screening programmes.

  3. Uplift factors and postcode files

    • gov.uk
    Updated Sep 2, 2025
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    Department for Education (2025). Uplift factors and postcode files [Dataset]. https://www.gov.uk/government/publications/uplift-factors-and-postcode-files
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    Dataset updated
    Sep 2, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    You might find these adult skills fund (ASF) data files showing the funding bodies that are responsible for funding each postcode in England useful.

    We use this data in funding calculations to support publicly funded education and skills in England; covering 16 to 19 study programmes, adult skills fund (ASF), free courses for jobs (FCFJ), apprenticeships, the European Social Fund and advanced learner loans bursary. This includes devolved ASF and FCFJ qualifications funded by mayoral combined authorities or the Greater London Authority.

    ASF postcode files

    To support the devolution of ASF, we have produced postcode files to show which postcodes are within the devolved areas, and consequently which body is responsible for ASF learners resident in a given postcode.

    How we use data from different years

    For funded learners aged 16 to 19, we apply the most recent single funding year’s factors to all learners in that funding year, regardless of their start date.

    For adult-funded aims and apprenticeship frameworks, we changed our calculations in the 2016 to 2017 year to apply the factor or cash value in our calculations based on the date when the learner started the aim or programme. For example, for learners who started adult-funded aims or apprenticeship frameworks from 1 August 2017 to 31 July 2018, we used the values from the 2017 to 2018 tables in the funding calculations for 2018 to 2019 and then in subsequent years.

    Postcodes area cost uplifts

    The area cost uplift reflects the higher cost of delivering provision in some parts of the country, such as London and the south east.

    Disadvantage uplifts

    These are uplifts or amounts for learners living in the most disadvantaged areas of the country.

    Historically we have used various versions of the Index of Multiple Deprivation (IMD) to determine disadvantage factors and uplifts.

    The IMD is assigned based on lower layer super output areas (LSOAs). LSOAs are a set of geographical areas developed, following the 2001 census, with the aim of defining areas of consistent size whose boundaries would not change between censuses.

    Therefore, we initially set disadvantage factors at LSOA level, and then apply the factors to postcodes within each LSOA. We publish disadvantage information on this page at LSOA level and also at postcode level.

    For the year 2021 to 2022 onwards, the 2019 IMD has been used for provision funded by the Department for Education (DfE) (or Education and Skills Funding Agency for relevant years). This used LSOA code based mapping from the 2011 census.

    For the year 2016 to 2017 up to and including the year 2020 to 2021, we used the 2015 IMD. This used the LSOA mapping from the 2011 census.

    Up to the funding year 2015 to 2016, we used the 2010 IMD which used the LSOAs from the 2001 census as its underlying mapping.

    Some Mayoral combined authorities and the Greater London Authority have wished to set different disadvantage factors to those of DfE for ASF provision they fund.

    We will indicate which organisation’s funding applies to each factor using a ‘SOFCode’ field in the files published here.

    The SOFCode field uses values from the <a rel="external" href="https://guidance.submit-learner-data.service.gov.uk/25-26/ilr/entity/LearningDeliveryFA

  4. s

    Persistent low income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 17, 2025
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    Race Disparity Unit (2025). Persistent low income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/low-income/latest
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    csv(81 KB), csv(302 KB)Available download formats
    Dataset updated
    Sep 17, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Between 2019 and 2023, people living in households in the Asian and ‘Other’ ethnic groups were most likely to be in persistent low income before and after housing costs

  5. GDP per capita of the UK 2023, by region

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). GDP per capita of the UK 2023, by region [Dataset]. https://www.statista.com/statistics/1168072/uk-gdp-per-head-by-region/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    In 2023, the gross domestic product per capita in London was 63,618 British pounds, compared with 37,135 pounds per capita for the United Kingdom as a whole. Apart from London, the only other region of the UK that had a greater GDP per capita than the UK average was South East England, at 38,004 pounds per capita. By contrast, North East England had the lowest GDP per capita among UK regions, at 26,347 pounds. Regional imbalance in the UK economy? London's overall GDP in 2022 was over 508 billion British pounds, which accounted for almost a quarter of the overall GDP of the United Kingdom. South East England had the second-largest regional economy in the country, with a GDP of almost 341.7 billion British pounds. Furthermore, these two regions were the only ones that had higher levels of productivity (as measured by output per hour worked) than the UK average. While recent governments have recognized regional inequality as a major challenge facing the country, it may take several years for any initiatives to bear fruit. The creation of regional metro mayors across England is one of the earliest attempts at giving regions and cities in particular more power over spending in their regions than they currently have. UK economy growth slow in late 2024 After ending 2023 with two quarters of negative growth, the UK economy grew at the reasonable rate of 0.8 percent and 0.4 percent in the first and second quarters of the year. This was, however, followed by zero growth in the third quarter, and by just 0.1 percent in the last quarter of the year. Other economic indicators, such as the inflation rate, fell within the expected range in 2024, but have started to rise again, with a rate of three percent recorded in January 2025. While unemployment has witnessed a slight uptick since 2022, it is still at quite low levels compared with previous years.

  6. GDP of the UK 2023, by region

    • statista.com
    Updated Apr 22, 2025
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    Statista (2025). GDP of the UK 2023, by region [Dataset]. https://www.statista.com/statistics/1004135/uk-gdp-by-region/
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    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    In 2023, London had a gross domestic product of over 569 billion British pounds, by far the most of any region of the United Kingdom. The region of South East England which surrounds London had the second-highest GDP in this year, at over 360 billion pounds. North West England, which includes the major cities of Manchester and Liverpool, had the third-largest GDP among UK regions, at almost 250 billion pounds. Levelling Up the UK London’s economic dominance of the UK can clearly be seen when compared to the other regions of the country. In terms of GDP per capita, the gap between London and the rest of the country is striking, standing at over 63,600 pounds per person in the UK capital, compared with just over 37,100 pounds in the rest of the country. To address the economic imbalance, successive UK governments have tried to implement "levelling-up policies", which aim to boost investment and productivity in neglected areas of the country. The success of these programs going forward may depend on their scale, as it will likely take high levels of investment to reverse economic neglect regions have faced in the recent past. Overall UK GDP The gross domestic product for the whole of the United Kingdom amounted to 2.56 trillion British pounds in 2024. During this year, GDP grew by 0.9 percent, following a growth rate of 0.4 percent in 2023. Due to the overall population of the UK growing faster than the economy, however, GDP per capita in the UK fell in both 2023 and 2024. Nevertheless, the UK remains one of the world’s biggest economies, with just five countries (the United States, China, Japan, Germany, and India) having larger economies. It is it likely that several other countries will overtake the UK economy in the coming years, with Indonesia, Brazil, Russia, and Mexico all expected to have larger economies than Britain by 2050.

  7. s

    Data from: Regional ethnic diversity

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Dec 22, 2022
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    Race Disparity Unit (2022). Regional ethnic diversity [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/uk-population-by-ethnicity/national-and-regional-populations/regional-ethnic-diversity/latest
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    csv(1 MB), csv(47 KB)Available download formats
    Dataset updated
    Dec 22, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

  8. g

    Housing design quality in London, the South East and the East of England...

    • gimi9.com
    • data.europa.eu
    • +1more
    + more versions
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    Housing design quality in London, the South East and the East of England from CABE 2004 [Dataset]. https://gimi9.com/dataset/uk_housing-design-quality-2004
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    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England, London
    Description

    An assessment of the design quality of 100 new housing schemes in London, the South East and the East of England. The assessment was carried out in 2004. The assessment is based on the Building for Life criteria. For each of the three Government Office regions, the top 10 house builders by volume were selected (based on most recent available data). For each top 10 house builder all schemes were completed between 1 Jan 2001 and 1 Jan 2004, over 20 units in size and of ‘Average’ Sales price. The attainable scores for each housing scheme varied from -48 (a ‘Poor’ standard scheme) to +48 (a ‘Very Good’ standard scheme). Each of the 16 audit criteria could receive a score of +3 to -3, which were added together to make up the total. Data for each housing scheme includes the housing scheme name, completion date, scores for individual criteria and total scores.

  9. g

    The Wealth Gap In London | gimi9.com

    • gimi9.com
    Updated Jul 10, 2024
    + more versions
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    (2024). The Wealth Gap In London | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_the-wealth-gap-in-london
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    Dataset updated
    Jul 10, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    London
    Description

    🇬🇧 United Kingdom English This GLA Intelligence Update takes a brief look at evidence around the wealth gap in London and examines how this has changed in recent years. Key Findings • There is a significant gap between the rich and poor in London, both in terms of their wealth and their income. • A higher proportion of the wealthiest households are in the South East of England than in London. • Pension wealth accounts for more than half the wealth of the richest ten per cent of the population. • In London, the tenth of the population with the highest income have weekly income after housing costs of over £1,000 while people in the lowest tenth have under £94 per week. • The gap between rich and poor is growing, with the difference between the average income for the second highest tenth and second lowest tenth growing around 14 per cent more than inflation since 2003. Click on the report below to read https://s3-eu-west-1.amazonaws.com/londondatastore-upload/wealth-gap-in-london.jpg" alt=""> The data included in the report is available to download here

  10. Sub-regional fuel poverty data 2023 (2021 data)

    • gov.uk
    Updated Apr 27, 2023
    + more versions
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    Department for Energy Security and Net Zero (2023). Sub-regional fuel poverty data 2023 (2021 data) [Dataset]. https://www.gov.uk/government/statistics/sub-regional-fuel-poverty-data-2023-2021-data
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    Dataset updated
    Apr 27, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Energy Security and Net Zero
    Description

    Sub-regional fuel poverty 2021 data: low income low energy efficiency (LILEE).

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Cambridgeshire Insight (2018). Indices of Deprivation [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/NWYzODNhYjgtZTE5Yi00MWZkLWE2NDEtNzdkMGQxZDI2NDcw

Indices of Deprivation

Explore at:
xlsx(230876.0), csv(81397.0), csv(38522.0), csv(66182.0), pdf(4844899.0), xls(288768.0), csv(87050.0), xlsx(84962.0), csv(49991.0), csv(56554.0)Available download formats
Dataset updated
Aug 23, 2018
Dataset provided by
Cambridgeshire Insight
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

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.

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