6 datasets found
  1. English indices of deprivation 2010

    • gov.uk
    Updated Mar 24, 2011
    + more versions
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2011). English indices of deprivation 2010 [Dataset]. https://www.gov.uk/government/statistics/english-indices-of-deprivation-2010
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    Dataset updated
    Mar 24, 2011
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Description

    These statistics have been updated by the English indices of deprivation 2015.

    This 2010 release updates the English indices of deprivation 2007.

    The English indices of deprivation measure relative levels of deprivation in small areas of England called ‘lower layer super output areas’.

    Most of the indicators used in these statistics are from 2008.

    Key results from the report are:

    • over 5 million people lived in the most deprived areas in England in 2008 and 38% of them were income deprived
    • Liverpool, Middlesbrough, Manchester, Knowsley, the City of Kingston-upon Hull, Hackney and Tower Hamlets are the local authorities with the highest proportion of lower layer super output areas among the most deprived in England
    • 98% of the most deprived lower layer super output areas are in urban areas but there are also pockets of deprivation across rural areas
    • 56% of local authorities contain at least one lower layer super output area amongst the 10% most deprived in England
    • 88% of the lower layer super output areas that are the most deprived in 2010 were also among the most deprived in 2007

    We have also published guidance and a technical report to the English indices of deprivation 2010.

  2. s

    Geographically weighted mediation analysis: food retail stores...

    • eprints.soton.ac.uk
    Updated Jun 20, 2025
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    Tsakiridi, Anastasia (2025). Geographically weighted mediation analysis: food retail stores accessibility, deprivation and depression in Hampshire and the Isle of Wight [Dashboard] [Dataset]. http://doi.org/10.5258/SOTON/D3556
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    Dataset updated
    Jun 20, 2025
    Dataset provided by
    University of Southampton
    Authors
    Tsakiridi, Anastasia
    Area covered
    Hampshire, Isle of Wight
    Description

    This analysis applies a novel spatial mediation framework to examine how food retail accessibility mediates the relationship between deprivation and depression at the local level. The methodological approach combines mediation analysis principles (Judd, C.M. & Kenny, D.A., 1981) with Geographically Weighted Regression (GWR) models, allowing relationships to vary spatially across Hampshire and the Isle of Wight rather than assuming uniform effects across the region. The spatial mediation analysis involved two key steps: Step 1 established the total effect of income deprivation on depression, whilst Step 2 examined the indirect effect by modelling both deprivation and food retail accessibility as simultaneous predictors of depression. Local coefficients were then compared at each location to identify areas where food retail accessibility serves as a mediating pathway in the deprivation-depression relationship. Statistical significance was assessed using local t-values with a threshold of ±1.96 (p < 0.05), ensuring robust identification of meaningful mediation effects across different geographical contexts. The analysis utilised QOF depression prevalence data (2022), Index of Multiple Deprivation measures (2019), and Department for Transport travel time statistics to retail food outlets (2019), representing spatial access to food supply chain endpoints across the study region. Data sources: In all analyses, we used the LSOA boundaries published by the Office for National Statistics: Office for National Statistics. Census 2011 geographies [Internet]. 2020. Available from: Lower layer Super Output Areas (December 2011) https://geoportal.statistics.gov.uk/datasets/ons::lower-layer-super-output-areas-december-2011-boundaries-ew-bfc-v3/about Digital vector boundaries for Integrated Care Boards in England were those published by the Office for National Statistics: Integrated Care Boards (April 2023) EN BGC [Internet]. 2023. Available from: https://www.data.gov.uk/dataset/d6bcd7d1-0143-4366-9622-62a99b362a5c/integrated-care-boards-april-2023-en-bgc Depression Prevalence 2022 - QOF depression prevalence: Daras, K., Rose, T., Tsimpida, D., & Barr, B. (2023). Quality and Outcomes Framework Indicators: Depression prevalence (QOF_4_12) [Dataset]. University of Liverpool. Available from: https://datacat.liverpool.ac.uk/2170/ Retail accessibility: DfT. (2021). Journey time statistics, England: 2019 [Dataset]. Department for Transport. Available from: https://www.gov.uk/government/statistics/journey-time-statistics-england-2019/journey-time-statistics-england-2019#official-statistics Deprivation: McLennan, D., Noble, S., Noble, M., Plunkett, E., Wright, G., & Gutacker, N. (2019). The English indices of deprivation 2019: Technical report. Available from:https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 Longitudinal Depression: Tsimpida, D., Tsakiridi, A., Daras, K., Corcoran, R., & Gabbay, M. (2024). Unravelling the dynamics of mental health inequalities in England: A 12-year nationwide longitudinal spatial analysis of recorded depression prevalence. SSM - Population Health, 26, 101669. Available from: https://doi.org/10.1016/j.ssmph.2024.101669

  3. c

    Survey of Quality of Life in Older Age, 2000-2001

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
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    Kingston, P.; Phillipson, C., Keele University, School of Social Relations (2024). Survey of Quality of Life in Older Age, 2000-2001 [Dataset]. http://doi.org/10.5255/UKDA-SN-4695-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    University of Wolverhampton
    Centre for Social Gerontology
    Authors
    Kingston, P.; Phillipson, C., Keele University, School of Social Relations
    Time period covered
    Oct 1, 2000 - Mar 1, 2001
    Area covered
    England
    Variables measured
    Individuals, Subnational
    Measurement technique
    Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    This study is part of the Growing Older: Extending Quality of Life research programme funded by the ESRC. The research for this study has sought to generate new insights into the experience of inequality in later life. It has examined aspects relating to the quality of life of older people living in areas of intense social deprivation, and has developed understanding of factors contributing to social inclusion and exclusion in later life. The aims and objectives, which have not changed since the original proposal, have been to:
    Contribute to knowledge about the circumstances of older people living in areas of concentrated poverty, examining the specific characteristics of social exclusion as it affects different groups within the older population;
    Explore ways in which older people manage their daily lives in deprived urban environments. The research has addressed how individuals handle the multiple risks associated with living in such localities, along with the survival strategies and support networks that develop;
    Develop research methods relevant to studying quality of life issues for older people living in areas of concentrated poverty. The research seeks to contribute to the development of research techniques designed to measure poverty, social deprivation and social exclusion;
    Identify forms of deprivation which have yet to be addressed fully in gerontological and social policy research;
    Examine the dynamics of social exclusion at a neighbourhood-level, and the implications of this for social policy.
    Main Topics:

    The dataset arises from a survey of 600 people aged 60 and over living in deprived electoral wards in Liverpool, Manchester and the London Borough of Newham. The survey collected, first, socio-demographic data about the circumstances of older people living in deprived areas and second, information relating to themes of social exclusion and quality of life, including: characteristics of poverty and its impact on daily life; networks (including support networks) of older people; patterns of support within the older population and with other social groups; quality of life of older people (using standardised measures of psychological well-being); characteristics of social participation within deprived localities; experiences of the urban environment in relation to services, crime, transportation and related issues.
    Standard Measures
    Quality of life: Philadelphia Geriatric Center Morale Scale (Lawton)
    Satisfaction with Life Scale (Diener)
    Loneliness: De Jong Gierveld Loneliness Scale

  4. f

    Patient demographics.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Emma K. Begley; Helen M. Poole; Harry R. Sumnall; Bernhard F. Frank; Catharine Montgomery (2023). Patient demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0280958.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Emma K. Begley; Helen M. Poole; Harry R. Sumnall; Bernhard F. Frank; Catharine Montgomery
    License

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

    Description

    BackgroundTreating Chronic Non-Cancer Pain (CNCP) with long-term, high dose and more potent opioids puts patients at increased risk of harm, whilst providing limited pain relief. Socially deprived areas mapped from Index of Multiple Deprivation (IMD) scores show higher rates of high dose, strong opioid prescribing compared to more affluent areas.ObjectiveTo explore if opioid prescribing is higher in more deprived areas of Liverpool (UK) and assess the incidence of high dose prescribing to improve clinical pathways for opioid weaning.Design and settingThis retrospective observational study used primary care practice and patient level opioid prescribing data for N = 30,474 CNCP patients across Liverpool Clinical Commissioning Group (LCCG) between August 2016 and August 2018.MethodA Defined Daily Dose (DDD) was calculated for each patient prescribed opioids. DDD was converted into a Morphine Equivalent Dose (MED) and patients stratified according to high (≥120mg) MED cut off. The association between prescribing and deprivation was analysed by linking GP practice codes and IMD scores across LCCG.Results3.5% of patients were prescribed an average dose above 120mg MED/day. Patients prescribed long-term, high dose, strong opioids were more likely to be female, aged 60+, prescribed three opioids and reside in the North of Liverpool where there is a higher density of areas in the IMD most deprived deciles.ConclusionA small but significant proportion of CNCP patients across Liverpool are currently prescribed opioids above the recommended dose threshold of 120mg MED. Identification of fentanyl as a contributor to high dose prescribing resulted in changes to prescribing practice, and reports from NHS pain clinics that fewer patients require tapering from fentanyl. In conclusion, higher rates of high dose opioid prescribing continue to be evident in more socially deprived areas further increasing health inequalities.

  5. 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.

  6. Differences in health-related variables between participants with or without...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Vanessa Castro-Granell; Noé Garin; Ángeles Jaén; Santiago Cenoz; María José Galindo; María José Fuster-RuizdeApodaca (2023). Differences in health-related variables between participants with or without potential interactions. [Dataset]. http://doi.org/10.1371/journal.pone.0260334.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Vanessa Castro-Granell; Noé Garin; Ángeles Jaén; Santiago Cenoz; María José Galindo; María José Fuster-RuizdeApodaca
    License

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

    Description

    Differences in health-related variables between participants with or without potential interactions.

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Ministry of Housing, Communities & Local Government (2018 to 2021) (2011). English indices of deprivation 2010 [Dataset]. https://www.gov.uk/government/statistics/english-indices-of-deprivation-2010
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English indices of deprivation 2010

Explore at:
402 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 24, 2011
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Ministry of Housing, Communities & Local Government (2018 to 2021)
Description

These statistics have been updated by the English indices of deprivation 2015.

This 2010 release updates the English indices of deprivation 2007.

The English indices of deprivation measure relative levels of deprivation in small areas of England called ‘lower layer super output areas’.

Most of the indicators used in these statistics are from 2008.

Key results from the report are:

  • over 5 million people lived in the most deprived areas in England in 2008 and 38% of them were income deprived
  • Liverpool, Middlesbrough, Manchester, Knowsley, the City of Kingston-upon Hull, Hackney and Tower Hamlets are the local authorities with the highest proportion of lower layer super output areas among the most deprived in England
  • 98% of the most deprived lower layer super output areas are in urban areas but there are also pockets of deprivation across rural areas
  • 56% of local authorities contain at least one lower layer super output area amongst the 10% most deprived in England
  • 88% of the lower layer super output areas that are the most deprived in 2010 were also among the most deprived in 2007

We have also published guidance and a technical report to the English indices of deprivation 2010.

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