7 datasets found
  1. Healthy life years at birth by sex

    • db.nomics.world
    • opendata.marche.camcom.it
    • +1more
    Updated Jun 7, 2021
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    DBnomics (2021). Healthy life years at birth by sex [Dataset]. https://db.nomics.world/Eurostat/sdg_03_11
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    Dataset updated
    Jun 7, 2021
    Dataset provided by
    Eurostathttps://ec.europa.eu/eurostat
    Authors
    DBnomics
    Description

    The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self-perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do (the so-called GALI - Global Activity Limitation Instrument foreseen in the annual EU-SILC survey). The indicator is therefore also called disability-free life expectancy (DFLE). So, HLY is a composite indicator that combines mortality data with health status data. HLY also monitor health as a productive or economic factor. An increase in healthy life years is one of the main goals for European health policy. And it would not only improve the situation of individuals but also result in lower levels of public health care expenditure. If healthy life years are increasing more rapidly than life expectancy, it means that people are living more years in better health. Please note that a revision took place in March 2012 and the whole series 2004-2010 were recalculated taking into account: i. the use of the age at interview for the GALI prevalences instead of the age of the income period (as it is traditionally done for many income and living indicators); differences with the previous calculations on outcomes and trends are minimal ii. the latest versions of the EU-SILC and Mortality data

  2. Employment rates of young people not in education and training by sex,...

    • data.europa.eu
    • opalpro.cs.upb.de
    • +1more
    gnu zip
    + more versions
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    Eurostat, Employment rates of young people not in education and training by sex, educational attainment level, years since completion of highest level of education and country of birth [Dataset]. https://data.europa.eu/data/datasets/4yvbk7koyojhrmxxxmqcq
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    gnu zipAvailable download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    Employment rates of young people not in education and training by sex, educational attainment level, years since completion of highest level of education and country of birth

  3. Share of births to teenage mothers in Europe 2022, by country

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Share of births to teenage mothers in Europe 2022, by country [Dataset]. https://www.statista.com/statistics/921890/rate-of-births-to-teenage-mothers-in-europe-by-country/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Europe
    Description

    In 2022, Bulgaria had the highest share of births to teenage mothers in Europe, at almost 10.2 percent of all births in the country. Furthermore, in Slovakia and Moldova, over five percent of births in both countries were to mothers aged below 20 years. The share of teenage births was particularly low in Switzerland, Andorra, and Norway. Falling teenage births In Europe, the share of births to teenage mothers has been trending downwards. Across the whole European region, the share of adolescent births fell from almost *** percent in 1980 to ***** percent in 2021. More specifically, in the European Union, teenagers accounted for fewer than *** percent of all births in 2021. Access to contraception In developed countries, the average age for women giving birth has increased over time, and in general, women are choosing to have fewer children. One of the main reasons is improved access to contraception, which allows women greater autonomy over their bodies. Luxembourg, which was rated as having the best access to modern contraception, also has the highest average childbearing age in Europe. Next on the contraception ranking; Belgium, France, and the UK also had a mean age of around ** for mothers.

  4. c

    Mean age of women at childbirth and at birth of first child

    • opendata.marche.camcom.it
    • data.europa.eu
    json
    Updated Jun 3, 2025
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    ESTAT (2025). Mean age of women at childbirth and at birth of first child [Dataset]. https://opendata.marche.camcom.it/json-browser.htm?dse=tps00017?lastTimePeriod=1
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    jsonAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    ESTAT
    License

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

    Time period covered
    2023
    Area covered
    Variables measured
    Mean age of women at childbirth, Mean age of women at birth of first child
    Description

    The mean age of women at childbirth is the mean age of women when their children are born (not only the first one). The mean age of women at birth of first child is the mean age of women when their first child is born (live birth).

    Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

  5. g

    Usually Resent Population by Place of Birth & Nationality, NUTS 3, Census...

    • census.geohive.ie
    Updated Jul 27, 2017
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    censuscurator_geohive (2017). Usually Resent Population by Place of Birth & Nationality, NUTS 3, Census 2016, Theme 2.1, Ireland, 2016, CSO & Tailte Éireann [Dataset]. https://census.geohive.ie/items/974bb994095c437b8cb51cf61e0df56e
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    Dataset updated
    Jul 27, 2017
    Dataset authored and provided by
    censuscurator_geohive
    Area covered
    Description

    This feature layer was was created using Census 2016 data produced by the Central Statistics Office (CSO) and NUTS 3 boundary data (generalised to 100m) produced by Tailte Éireann. The layer represents Census 2016 theme 2.1, the population usually resident in Ireland by place of birth and nationality. Attributes include population breakdown by place of birth and nationality (e.g. UK Birthplace, Poland Nationality). Census 2016 theme 2 represents Migration, Ethnicity and Religion. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. NUTS 3 boundaries generalised to 100m. The Nomenclature of Territorial Units for Statistics (NUTS) were drawn up by Eurostat in order to define territorial units for the production of regional statistics across the European Union. The NUTS classification has been used in EU legislation since 1988, but it was only in 2003 that the EU Member States, the European Parliament and the Commission established the NUTS regions within a legal framework (Regulation (EC) No 1059/2003). The Irish NUTS 3 regions comprise the eight Regional Authorities established under the Local Government Act, 1991 (Regional Authorities) (Establishment) Order, 1993 which came into operation on January 1st 1994. The NUTS 2 regions, which were proposed by Government and agreed to by Eurostat in 1999, are groupings of the Regional Authorities.

  6. Self-employed persons without employees by main reason for not having...

    • data.europa.eu
    csv, html, tsv, xml
    Updated Dec 10, 2018
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    Eurostat (2018). Self-employed persons without employees by main reason for not having employees, sex and country of birth [Dataset]. https://data.europa.eu/data/datasets/studjzhbqon9gguafapw?locale=en
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    tsv(22038), csv(25050), html, xml(8740), xml(29552)Available download formats
    Dataset updated
    Dec 10, 2018
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    Self-employed persons without employees by main reason for not having employees, sex and country of birth

  7. e

    Maternal mortality

    • data.europa.eu
    excel xls
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    North Gate II & III - INS (STATBEL - Statistics Belgium), Maternal mortality [Dataset]. https://data.europa.eu/data/datasets/9f2ce5d363de77c9f2485d3fe1b3844f8aa13697?locale=en
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    excel xlsAvailable download formats
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    Statistics on maternal mortality are produced based on the database of causes of death. "Maternal deaths" are selected from the database via a complex procedure, which takes into account the definition given by the WHO and is described in detail in the metadata. The tenth revision of the International Classification of Diseases (ICD-10) defines maternal death as "the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes." "Maternal deaths should be subdivided into two groups. Direct obstetric deaths: those resulting from obstetric complications of the pregnant state (pregnancy, labour and puerperium), from interventions, omissions, incorrect treatment, or from a chain of events resulting from any of the above. Indirect obstetric deaths: those resulting from previous existing disease or disease that developed during pregnancy and which was not due to direct obstetric causes, but which was aggravated by physiologic effects of pregnancy." Furthermore, the ICD-10 also defines late maternal death as "the death of a woman from direct or indirect obstetric causes more than 42 days but less than one year after termination of pregnancy." The "maternal mortality rate" is the ratio between the number of recorded direct and indirect maternal deaths over one year and the number of live birth in the same year, expressed per 100,000 live births. Late maternal deaths are not taken into account in the calculation of this ratio. Given the small and markedly variable number of cases recorded each year in Belgium, it has been decided to calculate this ratio based on the cumulated maternal deaths and live births of five consecutive years, with the ratio calculated being recorded in the middle year. When identifying these maternal deaths, the ad hoc working group, bringing together the Belgian statistical office and all data producing federated entities, did not exclude the risk of an underestimation of these deaths, based on the only statistical bulletin used as main source. It therefore asks for continued efforts to further improve the follow-up of maternal deaths, and supports the recent initiative of the College of physicians for Mother and Newborn to consider the creation of a maternal mortality register.

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DBnomics (2021). Healthy life years at birth by sex [Dataset]. https://db.nomics.world/Eurostat/sdg_03_11
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Healthy life years at birth by sex

Eurostat/sdg_03_11

Explore at:
29 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 7, 2021
Dataset provided by
Eurostathttps://ec.europa.eu/eurostat
Authors
DBnomics
Description

The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self-perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do (the so-called GALI - Global Activity Limitation Instrument foreseen in the annual EU-SILC survey). The indicator is therefore also called disability-free life expectancy (DFLE). So, HLY is a composite indicator that combines mortality data with health status data. HLY also monitor health as a productive or economic factor. An increase in healthy life years is one of the main goals for European health policy. And it would not only improve the situation of individuals but also result in lower levels of public health care expenditure. If healthy life years are increasing more rapidly than life expectancy, it means that people are living more years in better health. Please note that a revision took place in March 2012 and the whole series 2004-2010 were recalculated taking into account: i. the use of the age at interview for the GALI prevalences instead of the age of the income period (as it is traditionally done for many income and living indicators); differences with the previous calculations on outcomes and trends are minimal ii. the latest versions of the EU-SILC and Mortality data

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