12 datasets found
  1. T

    United States Retirement Age - Men

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Retirement Age - Men [Dataset]. https://tradingeconomics.com/united-states/retirement-age-men
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    United States
    Description

    Retirement Age Men in the United States increased to 66.83 Years in 2025 from 66.67 Years in 2024. This dataset provides - United States Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. T

    RETIREMENT AGE MEN by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
    + more versions
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    TRADING ECONOMICS (2017). RETIREMENT AGE MEN by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/retirement-age-men
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for RETIREMENT AGE MEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  3. T

    RETIREMENT AGE WOMEN by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 21, 2015
    + more versions
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    TRADING ECONOMICS (2015). RETIREMENT AGE WOMEN by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/retirement-age-women
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 21, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for RETIREMENT AGE WOMEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  4. Percentage of employees expected to voluntarily retire over the next 12...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 25, 2022
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    Government of Canada, Statistics Canada (2022). Percentage of employees expected to voluntarily retire over the next 12 months, fourth quarter of 2022 [Dataset]. http://doi.org/10.25318/3310061201-eng
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    Dataset updated
    Nov 25, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Percentage of employees expected to voluntarily retire over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2022.

  5. n

    TROPIS - Tree Growth and Permanent Plot Information System database

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
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    (2017). TROPIS - Tree Growth and Permanent Plot Information System database [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214155153-SCIOPS
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    TROPIS is the acronym for the Tree Growth and Permanent Plot Information System sponsored by CIFOR to promote more effective use of existing data and knowledge about tree growth.

        TROPIS is concerned primarily with information about permanent plots and tree
        growth in both planted and natural forests throughout the world. It has five
        components:
    
        - a network of people willing to share permanent plot data and tree
        growth information;
        - an index to people and institutions with permanent plots;
        - a database management system to promote more efficient data management;
        - a method to find comparable sites elsewhere, so that observations
        can be supplemented or contrasted with other data; and
        - an inference system to allow growth estimates to be made in the
        absence of empirical data.
        - TROPIS is about people and information. The core of TROPIS is an
        index to people and their plots maintained in a relational
        database. The database is designed to fulfil two primary needs:
        - to provide for efficient cross-checking, error-checking and
        updating; and to facilitate searches for plots matching a wide range
        of specified criteria, including (but not limited to) location, forest
        type, taxa, plot area, measurement history.
    
        The database is essentially hierarchical: the key element of the
        database is the informant. Each informant may contribute information
        on many plot series, each of which has consistent objectives. In turn,
        each series may comprise many plots, each of which may have a
        different location or different size. Each plot may contain many
        species. A series may be a thinning or spacing experiment, some
        species or provenance trials, a continuous forest inventory system, or
        any other aggregation of plots convenient to the informant. Plots need
        not be current. Abandoned plots may be included provided that the
        location is known and the plot data remain accessible. In addition to
        details of the informant, we try to record details of additional
        contact people associated with plots, to maintain continuity when
        people transfer or retire. Thus the relational structure may appear
        complex, but ensures data integrity.
    
        At present, searches are possible only via mail, fax or email requests
        to the TROPIS co-ordinator at CIFOR. Self-service on-line searching
        will also be available in 1997. Clients may search for plots with
        specified taxa, locations, silvicultural treatment, or other specified
        criteria and combinations. TROPIS currently contains references to
        over 10,000 plots with over 2,000 species contributed by 100
        individuals world-wide.
    
        This database will help CIFOR as well as other users to make more
        efficient use of existing information, and to develop appropriate and
        effective techniques and policies for sustainable forest management
        world-wide.
    
        TROPIS is supported by the Government of Japan.
    
        This information is from the CIFOR web site.
    
  6. T

    Canada Retirement Age - Men

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Retirement Age - Men [Dataset]. https://tradingeconomics.com/canada/retirement-age-men
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    Canada
    Description

    Retirement Age Men in Canada remained unchanged at 65 Years in 2025 from 65 Years in 2024. This dataset provides - Canada Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. e

    The Geography of Old Age in Late-Victorian England and Wales, 1891 - Dataset...

    • b2find.eudat.eu
    Updated Nov 12, 2021
    + more versions
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    (2021). The Geography of Old Age in Late-Victorian England and Wales, 1891 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/2ec9cf7b-ad5c-5039-bc2d-246cfb77347c
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    Dataset updated
    Nov 12, 2021
    Area covered
    England, Wales
    Description

    This aggregate-level dataset links poor relief data recorded on 1 January 1891 with several variables from corresponding 1891 census data, all at the level of the registration district (RD). Specifically, the numbers of men and women receiving indoor and outdoor relief in the ‘non-able-bodied’ category (taken as a proxy of the numbers of older-age men and women on relief) are accompanied with a series of socio-economic variables calculated from census data on the population aged 60 years and over (our definition of ‘old age’). Thus, the dataset fulfils two objectives: 1. To start reconciling poor relief data from the House of Commons Parliamentary Papers archive with transcribed Integrated Census Microdata (I-CeM) available at the UK Data Service (UKDS). 2. To capture geographical variations in the proportion of older-age men and women on poor relief as well as in several household, occupational and migratory compositions recorded in the census, consulting data from 1891 as a pilot study in anticipation of an extended project covering all censuses from 1851-1911.The study of old age in history has generally had a narrow focus on welfare needs. Specific studies of the extreme poverty, or pauperism, of older people in late nineteenth-century London by Victorian contemporary Charles Booth (1840-1916) have remained remarkably influential for historical research on old age (Booth, 1894; Boyer and Schmidle, 2009). Old age is also examined through institutional care, particularly workhouse accommodation (Lievers, 2009; Ritch, 2014), while the subgroup of the elderly population that were not poor has been underexplored. However, my PhD thesis shows that pauperism was not a universal experience of old age between 1851 and 1911. Using transcribed census data for five selected counties in England and Wales, I find that pauperism was contingent upon many socio-economic factors recorded in census datasets, such as the occupational structure of older people, their living arrangements and their capacity to voluntarily retire from work based on their savings, land and capital. I find that, in some districts of the northern counties of Cheshire and the Yorkshire West Riding, the proportion of men described in the census as 'retired' and the proportion of women 'living on their own means' was greater than the respective proportions of men and women on welfare. For elderly men in particular, there were regional differences in agrarian work, where those in northern England are more likely to run smallholding 'family farms' whereas, in southern England, elderly men generally participate as agricultural labourers. I find that these differences play an important part in the likelihood of becoming pauperised, and adds to the idea of a north-south divide in old age pauperism (King, 2000). Furthermore, pauperism was predicated on the events and circumstances of people throughout their life histories and approaching their old age. My fellowship will enable me to expand upon these findings through limited additional research that stresses an examination of the experiences of all older people in England and Wales. Old age has to be assessed more widely in relation to regional and geographical characteristics. In this way, we refine Booth's London-centric focus on the relationship between poverty and old age. My fellowship will achieve these objectives by systematically tracing the diversity of old age experiences. A pilot study will link welfare data recorded on 1 January 1891 from the House of Commons Parliamentary Papers archive with the socio-economic indicators contained in the 1891 census conducted on 5 April, all incorporated at the level of c. 650 registration districts in England and Wales. I will also visit record offices to extract data on the names of older people recorded as receiving welfare in materials related to the New Poor Law, thereby expanding on the PhD's examination of the life histories of older people. With the key findings from my PhD presented above, I will spend my time addressing a wider audience on my research. As I will argue in blogs and webinars addressed to Age UK, the International Longevity Centre UK and History and Policy, a monolithic narrative of old age as associated with welfare dependency and gradual decline has been constructed since Booth's research in the late nineteenth century. This narrative has remained fixed through the growth of our ageing population, and the development of both old age pensions and the modern welfare state. My research alternatively uses historical censuses that reveal the economic productivity of older people in a manner that is not satisfactorily captured in present day discourse. I will also receive training on how to address my PhD to local schools, through the presentation of maps that present variations in the proportions of older people receiving welfare, and in the application of transcribed census data. Data on the numbers of 'non-able-bodied' men and women receiving outdoor and indoor relief on 1 January 1891 (taken as a proxy for the numbers in old age receiving welfare on this date) by Poor Law Union (648) are then converted to the numbers by corresponding Registration District (630). They are linked with several socio-economic variables involving the numbers of men and women aged 60 years and over in the 1891 census. Further information on this is in the User Guide.

  8. T

    Germany Retirement Age - Men

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jan 28, 2025
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    TRADING ECONOMICS (2025). Germany Retirement Age - Men [Dataset]. https://tradingeconomics.com/germany/retirement-age-men
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    Germany
    Description

    Retirement Age Men in Germany remained unchanged at 66 Years in 2025 from 66 Years in 2024. This dataset provides the latest reported value for - Germany Retirement Age - Men - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. T

    Italy Retirement Age - Men

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Italy Retirement Age - Men [Dataset]. https://tradingeconomics.com/italy/retirement-age-men
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    Italy
    Description

    Retirement Age Men in Italy remained unchanged at 67 Years in 2025 from 67 Years in 2024. This dataset provides the latest reported value for - Italy Retirement Age - Men - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. T

    Mexico Retirement Age - Men

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Mexico Retirement Age - Men [Dataset]. https://tradingeconomics.com/mexico/retirement-age-men
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    Mexico
    Description

    Retirement Age Men in Mexico remained unchanged at 65 Years in 2025 from 65 Years in 2024. This dataset provides - Mexico Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. T

    Sweden Retirement Age - Men

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 21, 2018
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    TRADING ECONOMICS (2018). Sweden Retirement Age - Men [Dataset]. https://tradingeconomics.com/sweden/retirement-age-men
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Mar 21, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    Sweden
    Description

    Retirement Age Men in Sweden remained unchanged at 63 Years in 2025 from 63 Years in 2024. This dataset provides - Sweden Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. T

    Hungary Retirement Age - Men

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 7, 2023
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    TRADING ECONOMICS (2023). Hungary Retirement Age - Men [Dataset]. https://tradingeconomics.com/hungary/retirement-age-men
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Apr 7, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    Hungary
    Description

    Retirement Age Men in Hungary remained unchanged at 65 Years in 2025 from 65 Years in 2024. This dataset provides - Hungary Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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TRADING ECONOMICS, United States Retirement Age - Men [Dataset]. https://tradingeconomics.com/united-states/retirement-age-men

United States Retirement Age - Men

United States Retirement Age - Men - Historical Dataset (2009-12-31/2025-12-31)

Explore at:
xml, json, excel, csvAvailable download formats
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Dec 31, 2009 - Dec 31, 2025
Area covered
United States
Description

Retirement Age Men in the United States increased to 66.83 Years in 2025 from 66.67 Years in 2024. This dataset provides - United States Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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