13 datasets found
  1. F

    Employment-Population Ratio

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). Employment-Population Ratio [Dataset]. https://fred.stlouisfed.org/series/EMRATIO
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employment-Population Ratio (EMRATIO) from Jan 1948 to Aug 2025 about employment-population ratio, civilian, 16 years +, household survey, population, employment, and USA.

  2. F

    Employment-Population Ratio - 25-54 Yrs.

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Employment-Population Ratio - 25-54 Yrs. [Dataset]. https://fred.stlouisfed.org/series/LNS12300060
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employment-Population Ratio - 25-54 Yrs. (LNS12300060) from Jan 1948 to Aug 2025 about 25 to 64 years, employment-population ratio, population, employment, and USA.

  3. Unemployment rate, participation rate and employment rate by gender, annual

    • www150.statcan.gc.ca
    Updated Jan 24, 2025
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    Government of Canada, Statistics Canada (2025). Unemployment rate, participation rate and employment rate by gender, annual [Dataset]. http://doi.org/10.25318/1410032701-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Unemployment rate, participation rate and employment rate for men and women, 15 years and over, by province, current year.

  4. M

    Unemployment Rate - statistical data from the European Union

    • mql5.com
    csv
    Updated Oct 3, 2025
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    MQL5 Community (2025). Unemployment Rate - statistical data from the European Union [Dataset]. https://www.mql5.com/en/economic-calendar/european-union/unemployment-rate
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    csvAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Nov 3, 2023 - Oct 2, 2025
    Area covered
    European Union
    Description

    Overview with Chart & Report: Unemployment Rate shows the number of unemployed persons in percentage of the working-age population. The calculation is performed monthly. The unemployed are defined as persons from 15 to 74 years

  5. Yunnan Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Yunnan Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/china/yunnan/gross-dependency-ratio
    Explore at:
    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Yunnan
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    38.7 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  6. Tibet Gross Dependency Ratio

    • knoema.ru
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Tibet Gross Dependency Ratio [Dataset]. https://knoema.ru/atlas/China/Tibet/Gross-Dependency-Ratio
    Explore at:
    xls, json, csv, sdmxAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Tibet, Китай, Tibet
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    47,2 (%) в 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  7. Jiangxi Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Jiangxi Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/China/Jiangxi/Gross-Dependency-Ratio
    Explore at:
    xls, json, sdmx, csvAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    China, Jiangxi
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    43.6 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  8. Labour Force Survey 1983 - United Kingdom

    • webapps.ilo.org
    • ilo.org
    Updated Nov 24, 2017
    + more versions
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    Office for National Statistics (2017). Labour Force Survey 1983 - United Kingdom [Dataset]. https://webapps.ilo.org/surveyLib/index.php/catalog/1744
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    Dataset updated
    Nov 24, 2017
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Time period covered
    1983
    Area covered
    United Kingdom
    Description

    Abstract

    The Labour Force Survey (LFS) is a study of the employment circumstances of the UK population. It is the largest household study in the UK and provides the official measures of employment and unemployment.The first Labour Force Survey (LFS) in the United Kingdom was conducted in 1973, under the terms of a Regulation derived from the Treaty of Rome. The provision of information for the Statistical Office of the European Communities (SOEC) continued to be one of the reasons for carrying out the survey on an annual basis. SOEC co-ordinated information from labour force surveys in the member states in order to assist the EC in such matters as the allocation of the Social Fund. The survey was carried out biennially from 1973 to 1983 and was increasingly used by UK government departments to obtain information which would assist in the framing of social and economic policy. By 1983 it was being used by the Employment Department (now the Department for Work and Pensions) to obtain information which was not available from other sources or was only available for Census years. From 1984 the survey was carried out annually, and since that time the LFS has consisted of two elements:

    • a quarterly survey conducted in Great Britain throughout the year, in which each sampled address was called on five times at quarterly intervals, and which yielded about 15,000 responding households in every quarter;
    • a 'boost' survey in the spring quarter (March-May), which produced interviews at over 44,000 households in Great Britain and over 4,000 households in Northern Ireland.

    Users should note that only the data from the spring quarter and the 'boost' survey were included in the annual datasets for public release, and that only data from 1975-1991 are available from the UK Data Archive. The depositor recommends only considered use of data for 1975 and 1977 (SNs 1757 and 1758), as the concepts behind the definitions of economic activity changed and are not comparable with later years. Also the survey methodology was being developed at the time and so the estimates may not be reliable enough to use.

    During 1991 the survey was developed, so that from spring 1992 the data were made available quarterly, with a quarterly sample size approximately equivalent to that of the previous annual data. The Quarterly Labour Force Survey series therefore superseded the annual LFS series, and is held at the Data Archive under GN 33246.

    The study is being conducted by the Office for National Statistics (ONS), the government's largest producer of statistics. They compile independent information about the UK's society and economy which provides evidence for policy and decision making, and for directing resources to where they are needed most. The ten-yearly census, measures of inflation, the National Accounts, and population and migration statistics are some of our highest-profile outputs.

    Geographic coverage

    The whole country.

    Analysis unit

    • Individuals
    • Families/households

    Universe

    • Households
    • All persons normally resident in private households in the United Kingdom

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Stratified multi-stage sample; for further details see annual reports. Until 1983 two sampling frames were used; in England, Northern Ireland and Wales, the Valuation Roll provided the basis for a sample which, in England and Wales, included all 69 metropolitan districts, and a two-stage selection from among the remaining non-metropolitan districts. In Northern Ireland wards were the primary sampling units. In Scotland, the Address File (i.e. post codes) was used as the basis for a stratified sample.From 1983 the Postoffice Address File has been used instead of the Valuation Roll in England and Wales. In 1984 sample rotation was introduced along with a panel element, the quarterly survey, which uses a two-stage clustered sample design.

    The sample comprises about 90,000 addresses drawn at random from the rating lists in 190 different areas of England and Wales With such a large sample, it Wiil happen by chance that a small number of addresses which were selected at random for the 1979 survey Will come up again In addltlon 2,000 addresses in 8 of the areas selected in 1979 have been deliberately re-selected aga~n this time (me Interviewers who get these addresses In the~r work w,ll receive a special letter to take with them.)

    Sampling deviation

    One of the limitations of the LFS is that the sample design provides no guarantee of adequate coverage of any industry, as the survey is not industrially stratified. The LFS coverage also omits communal establishments, except NHS housing, students in halls of residence and at boarding schools. Members of the armed forces are only included if they live in private accommodation. Also, workers under 16 are not covered.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    All questions in the specification are laid out using the same format. Some questions (for instance USUWRKM) have a main group routed to them, but subsets of this group are asked variations of the question. In such cases the main routing is at the foot of the question as usual, and the subsets are listed separately above it, with the individual aspect of the routing indented slightly from the left of the page.

    Response rate

    Method of calculating response rates The response rate indicates how many interviews were achieved as a proportion of those eligible for the survey. The formula used is as follows: RR = (FR + PR)/(FR + PR + OR + CR + RHQ + NC + RRI*) where RR = response rate, FR = full response, PR = partial response, OR = outright refusal, CR = circumstantial refusal, RHQ = refusal to HQ, NC = non contact, RRI = refusal to re-interview, *applies to waves two to five only.

    Sampling error estimates

    As with any sample survey, the results of the Labour Force Survey are subject to sampling errors. In addition, the results of any sample survey are affected by non-sampling errors, i.e. the whole variety of errors other then those due to sampling.

  9. Guizhou Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Guizhou Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/China/Guizhou/Gross-Dependency-Ratio
    Explore at:
    json, sdmx, xls, csvAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Guizhou
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    51.1 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  10. Inner Mongolia Old Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Inner Mongolia Old Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/Chine/Inner-Mongolia/Old-Dependency-Ratio
    Explore at:
    sdmx, csv, xls, jsonAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    China
    Variables measured
    Old Dependency Ratio (Sample Survey)
    Description

    13.3 (%) in 2019. Old Dependency Ratio also called old dependency coefficient, refers to the ratio of the elderly population to the working-age population, express in %. It describes the number of the elderly population that every 100 people at working ages will take care of. Old dependency ratio is one of the indicators reflecting the social implication of population aging from the economic perspective. The old dependency ratio is calculated with the following formula: (The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  11. Jiangsu Children Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Jiangsu Children Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/Chine/Jiangsu/Children-Dependency-Ratio
    Explore at:
    sdmx, csv, xls, jsonAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Jiangsu
    Variables measured
    Children Dependency Ratio (Sample Survey)
    Description

    19.4 (%) in 2019. Children Dependency Ratio also called children dependency coefficient, refers to the ratio of the children population to the working-age population, express in %. It describes the number of children population that every 100 people at working ages will take care of. The children dependency ratio is calculated with the following formula: (The population of children aged 0-14)/(The working-age population aged 15-64)*100%.

  12. Shaanxi Children Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Shaanxi Children Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/%D0%9A%D0%B8%D1%82%D0%B0%D0%B9/Shaanxi/Children-Dependency-Ratio
    Explore at:
    json, sdmx, csv, xlsAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Shaanxi
    Variables measured
    Children Dependency Ratio (Sample Survey)
    Description

    19.8 (%) in 2019. Children Dependency Ratio also called children dependency coefficient, refers to the ratio of the children population to the working-age population, express in %. It describes the number of children population that every 100 people at working ages will take care of. The children dependency ratio is calculated with the following formula: (The population of children aged 0-14)/(The working-age population aged 15-64)*100%.

  13. g

    Namur - Population - Age groups - Ageing coefficient | gimi9.com

    • gimi9.com
    + more versions
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    Namur - Population - Age groups - Ageing coefficient | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-www-odwb-be-explore-dataset-population_age_indic_coeffvieillissement-
    Explore at:
    License

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

    Area covered
    Namur
    Description

    Statistics Population of Namur - Major age groups with distinction Men and Women by neighbourhood. Indicator: Ageing coefficient (Ratio of the population not of working age, i.e. young people aged 0-19 and people aged 65 and over to the population of working age (people aged 20-64). This coefficient expressed as a percentage may exceed 100% and, in this case, the number of persons considered to be dependent is greater than the number of persons in employment. Formula: Total 0 to 19 years + 65 years and + / Population aged 20 to 64) - Figures collected on 1 January of each year since 1985. This dataset is used on the Portal "Statistics of the 46 districts of Namur", tab Demographic Observatory of the OPENDATA of the municipality of Namur.

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(2025). Employment-Population Ratio [Dataset]. https://fred.stlouisfed.org/series/EMRATIO

Employment-Population Ratio

EMRATIO

Explore at:
25 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Sep 5, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Employment-Population Ratio (EMRATIO) from Jan 1948 to Aug 2025 about employment-population ratio, civilian, 16 years +, household survey, population, employment, and USA.

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