3 datasets found
  1. d

    Deaths from Liver Disease - Dataset - Datopian CKAN instance

    • demo.dev.datopian.com
    Updated Oct 7, 2025
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    (2025). Deaths from Liver Disease - Dataset - Datopian CKAN instance [Dataset]. https://demo.dev.datopian.com/dataset/lcc--deaths-from-liver-disease
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    Dataset updated
    Oct 7, 2025
    License

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

    Description

    This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages. Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Low numbers may result in zero values or missing data. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 40601 (E06a). The data is updated annually.

  2. Deaths from Liver Disease - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jul 11, 2017
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    ckan.publishing.service.gov.uk (2017). Deaths from Liver Disease - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/deaths-from-liver-disease
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    Dataset updated
    Jul 11, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages. Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Low numbers may result in zero values or missing data. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 40601 (E06a). The data is updated annually.

  3. w

    Deaths from Liver Disease

    • data.wu.ac.at
    csv, html
    Updated Nov 11, 2017
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    Lincolnshire County Council (2017). Deaths from Liver Disease [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/Y2EzY2U4ODItOGNjZi00YTFiLThiN2EtODkyZGZjOTFjMGM2
    Explore at:
    html, csvAvailable download formats
    Dataset updated
    Nov 11, 2017
    Dataset provided by
    Lincolnshire County Council
    License

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

    Description

    This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages.

    Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions.

    Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates.

    A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death.

    Data source: Public Health England, Public Health Outcomes Framework (PHOF) indicator 4.06i. The data is updated annually.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2025). Deaths from Liver Disease - Dataset - Datopian CKAN instance [Dataset]. https://demo.dev.datopian.com/dataset/lcc--deaths-from-liver-disease

Deaths from Liver Disease - Dataset - Datopian CKAN instance

Explore at:
Dataset updated
Oct 7, 2025
License

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

Description

This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages. Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Low numbers may result in zero values or missing data. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 40601 (E06a). The data is updated annually.

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