33 datasets found
  1. F

    Employment-Population Ratio - 25-54 Yrs.

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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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.

  2. F

    Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54...

    • fred.stlouisfed.org
    json
    Updated Sep 15, 2025
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    (2025). Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LFWA25TTUSM647N
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    jsonAvailable download formats
    Dataset updated
    Sep 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54 Years for United States (LFWA25TTUSM647N) from Jan 1955 to Aug 2025 about 25 to 54 years, working-age, population, and USA.

  3. F

    Labor Force Participation Rate - 25-54 Yrs.

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). Labor Force Participation Rate - 25-54 Yrs. [Dataset]. https://fred.stlouisfed.org/series/LNU01300060
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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 Labor Force Participation Rate - 25-54 Yrs. (LNU01300060) from Jan 1948 to Aug 2025 about 25 to 54 years, participation, civilian, labor force, labor, household survey, rate, and USA.

  4. F

    Infra-Annual Labor Statistics: Labor Force Participation Rate Female: From...

    • fred.stlouisfed.org
    json
    Updated Sep 15, 2025
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    (2025). Infra-Annual Labor Statistics: Labor Force Participation Rate Female: From 25 to 54 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LRAC25FEUSM156S
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    jsonAvailable download formats
    Dataset updated
    Sep 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Labor Force Participation Rate Female: From 25 to 54 Years for United States (LRAC25FEUSM156S) from Jan 1955 to Aug 2025 about 25 to 54 years, females, participation, labor force, labor, rate, and USA.

  5. Labour force characteristics by age group, monthly, seasonally adjusted

    • www150.statcan.gc.ca
    Updated Sep 5, 2025
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    Government of Canada, Statistics Canada (2025). Labour force characteristics by age group, monthly, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410028701-eng
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    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

  6. F

    Working Age Population: Aged 25-54: All Persons for the Euro Area (19...

    • fred.stlouisfed.org
    json
    Updated Apr 20, 2023
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    (2023). Working Age Population: Aged 25-54: All Persons for the Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/LFWA25TTEZA647N
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    jsonAvailable download formats
    Dataset updated
    Apr 20, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Working Age Population: Aged 25-54: All Persons for the Euro Area (19 Countries) (LFWA25TTEZA647N) from 2005 to 2022 about 25 to 54 years, working-age, Euro Area, Europe, and population.

  7. Labor force participation rate Japan 2024, by gender and age

    • statista.com
    Updated Jul 31, 2025
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    Statista (2025). Labor force participation rate Japan 2024, by gender and age [Dataset]. https://www.statista.com/statistics/1233862/japan-labor-force-participation-rate-by-gender-and-age/
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Japan
    Description

    In 2024, around **** percent of the population aged 25 to 34 years was in the labor force in Japan. The labor force participation rate was highest among men aged 35 to 44 at almost ** percent. Around ** percent of women in the same age cohort were in the workforce.

  8. GI - Working Age Employment and Income (Suburb) 2006

    • data.gov.au
    html
    Updated Jul 31, 2025
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    Grattan Institute (2025). GI - Working Age Employment and Income (Suburb) 2006 [Dataset]. https://data.gov.au/data/dataset/gi-gi-employ-inc-suburb-2006-ssc
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    htmlAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    Grattan Institute
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of statistics related to the employment and income of individuals of 'prime working age' - that is between 25 and 65 years old. This ensures a focus on the segment of the population most likely to be available for employment and excludes most people still engaged in post-school education. The data spans the year of 2006 and is aggregated to State Suburbs (SSC) from the 2006 Australian Standard Geographical Classification (ASGC). This data has been created by the Grattan Institute for the Productive Cities: opportunity in a changing economy report, Kelly, J-F., Mares, P., Harrison, C., O'Toole, M., Oberklaid, M., Hunter, J., 2012, Productive Cities, Grattan Institute, ISBN: 978-1-925015-32-4. For more information, please refer to the Productive Cities: opportunity in a changing economy report.

  9. Employment rate in the UK 2000-2025, by age group

    • statista.com
    Updated Aug 19, 2025
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    Statista (2025). Employment rate in the UK 2000-2025, by age group [Dataset]. https://www.statista.com/statistics/280228/uk-employment-rate-by-age-group/
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    Dataset updated
    Aug 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of the second quarter of 2025, the employment rate in the United Kingdom was highest among 35 to 49-year-old's, with **** percent of that age group employed. In the same quarter, approximately **** percent of over 65s were employed, a peak for this provided time period, while the employment rate for 16 to 24s was **** percent, one of the lowest rates for this age group.

  10. Q

    Data for: What Extraordinary Times Tell Us about Ordinary Ones: A Multiple...

    • data.qdr.syr.edu
    pdf, txt, xlsx
    Updated Apr 19, 2024
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    Emilia F. Vignola; Emilia F. Vignola; Emily Q. Ahonen; Emily Q. Ahonen; Anjum Hajat; Anjum Hajat (2024). Data for: What Extraordinary Times Tell Us about Ordinary Ones: A Multiple Case Study of Precariously Employed Food Retail and Service Workers in Two U.S. State Contexts during the COVID-19 Pandemic [Dataset]. http://doi.org/10.5064/F6Z82KER
    Explore at:
    pdf(220535), pdf(503440), pdf(253227), pdf(381823), pdf(307036), pdf(294047), pdf(339923), pdf(267550), pdf(444400), pdf(417484), pdf(275716), pdf(241303), pdf(240486), pdf(346695), pdf(540661), pdf(444990), pdf(476110), pdf(339335), pdf(354572), pdf(350330), pdf(277616), pdf(855000), xlsx(17516), pdf(488269), pdf(266635), pdf(617162), pdf(223622), pdf(282531), txt(7192), pdf(513958), pdf(284529)Available download formats
    Dataset updated
    Apr 19, 2024
    Dataset provided by
    Qualitative Data Repository
    Authors
    Emilia F. Vignola; Emilia F. Vignola; Emily Q. Ahonen; Emily Q. Ahonen; Anjum Hajat; Anjum Hajat
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Mar 1, 2020 - Oct 31, 2021
    Area covered
    United States, United States
    Dataset funded by
    National Institute on Aging (NIA)
    National Institute for Occupational Safety and Health (NIOSH)
    University of Utah Office of the Vice President of Research
    Description

    Project Overview This project consists of a multiple case study of older, precariously employed food workers in two U.S. states (Indiana and Washington) during the COVID-19 pandemic, designed to explore the links between employment quality and social context as drivers of disease prevention. This deposit is of individual semi-structured qualitative data in the form of de-identified and generalized transcripts of the interviews conducted. Data and Data Collection Overview We conducted data compilation, document review, and 26 in-depth interviews using a multiple case study design with two states, Indiana and Washington, constituting the cases (Stake, 2005). For each case, sources consisted of secondary data regarding state context (e.g., policy landscape and health measures) and semi-structured individual interviews with food retail or service workers. Details on the secondary data sources and indicators used in our analysis are available in a published manuscript associated with this deposit. Participants were recruited and interviewed between January and October 2021. Eligibility for the interviews was limited to English or Spanish-speaking adults, aged 40 years or older, who were employed in food retail or services for at least three months total from when COVID-19 appeared in each state in 2020 until the time of the interview. We originally aimed to recruit workers 50 years and older because risk of severe consequences of COVID-19 increases with age. In order to boost recruitment and prioritize hearing from people who would have deep and nuanced perspectives on our issue of study, we subsequently lowered eligibility to age 40. This allowed us to hear from those in prime working age and those who are older. We set income restrictions to those earning below a living wage in Indiana, defined by MIT’s living wage calculator ($11.04/hour; Glasmeier, 2021), or earning below the minimum wage in Washington ($15.75/hour). We sampled purposively to achieve variety in level of exposure to the public in one’s job, race and ethnicity, sex/gender, and education – factors related to the likelihood for workplace exposures to COVID-19, sociodemographic characteristics important to understanding the experience of precarious employment, and which appear related to COVID-19 severity and consequences. Interviews took place by videoconference (Zoom) or telephone, depending on participant preference. We obtained oral informed consent from all study participants and audio-recorded the conversations with their permission. A transcription generated automatically using Otter.ai was corrected and formatted using the recorded audio. The semi-structured interview guide consisted of open-ended questions about facilitators and barriers to following prevention guidelines, COVID-19 protective measures taken in the workplace, other influences on preventive behaviors, and sources of COVID-19-related information. It also contained a checklist meant to allow the interviewer to delineate workplace preventive efforts described by the participants. Interviews ranged from 53 to 133 minutes and were all completed in English. Interviewees received a $40 gift card for participating. Selection and Organization of Shared Data We conducted 26 total interviews but three of those are not included in the shared data because the question about consent to share their data had not yet been added to the consent script or the interview guide when those first interviews were conducted. Since those participants did not actively opt out of data sharing, and all others agreed to it explicitly, it is unlikely that there was anything systematically different in the three interviews which are not being shared. Based on the demographic data we have about them, nothing stands out, and the shared sample includes persons with similar characteristics. The data files in this project include the 23 transcripts for which we obtained explicit permission for sharing and a table containing age and gender identity for the 23 interviewees included in this submission. The documentation files include all the study’s recruitment materials, the interview guide / questionnaire, this data narrative and an administrative README file.

  11. o

    Data from: Are Resource Booms a Blessing or a Curse? Evidence from People...

    • openicpsr.org
    Updated Jan 19, 2021
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    Grant Jacobsen; Dominic Parker; Justin Winikoff (2021). Are Resource Booms a Blessing or a Curse? Evidence from People (not Places) [Dataset]. http://doi.org/10.3886/E130701V1
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    Dataset updated
    Jan 19, 2021
    Dataset provided by
    University of Oregon
    United States Department of Agriculture. Economic Research Service
    University of Wisconsin-Madison
    Authors
    Grant Jacobsen; Dominic Parker; Justin Winikoff
    License

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

    Description

    We provide the first estimates of the long-run income effects of temporary resource booms on people, rather than places, focusing on the U.S. oil boom and bust of the 1980s. Using household-level longitudinal data, we find positive effects during the boom period and negative effects during the bust period. The cumulative effect through 2012 was arguably negative when restricting the sample to prime working years (<55) and unambiguously positive otherwise because the boom delayed retirement. The evidence suggests the boom was ultimately a curse for the average household. It failed to generate net income gains during prime age and its volatility caused costly income-smoothing later in life.

  12. Female employment rate Japan 1973-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Female employment rate Japan 1973-2024 [Dataset]. https://www.statista.com/statistics/643486/japan-female-employment-rate/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2024, the employment rate for women in Japan stood at **** percent, up from about **** percent in the previous year. The male employment rate was **** percent in 2024.Increasing number of working womenAs Japan is facing severe demographic challenges, the government has tried for many years to increase the number of women in the workforce. In 2013, Prime Minister Shinzo Abe declared his commitment to creating "a society in which women shine", calling it “a matter of the greatest urgency”. Since then, the number of employed women noticeably increased, exceeding ** million in 2024. Attitudes slow to changeDespite these advances, Japanese corporate culture as well as gender attitudes are only slowly changing. While the number of working women has certainly increased, some voices criticize that Japan still lags behind when it comes to women in leadership positions. This criticism is also extended to political leadership positions, as women in the House of Representatives made up around ** percent of diet members in 2023.

  13. d

    Canadian Gallup Poll, March 1954, #235

    • search.dataone.org
    • borealisdata.ca
    Updated Mar 28, 2024
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    Gallup Canada (2024). Canadian Gallup Poll, March 1954, #235 [Dataset]. http://doi.org/10.5683/SP2/USVTY9
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    Dataset updated
    Mar 28, 2024
    Dataset provided by
    Borealis
    Authors
    Gallup Canada
    Area covered
    Canada
    Description

    This Gallup poll explores the opinions of Canadians on various political issues, current events, and asks their predictions for the future. It also tackles such topics as unemployment and gender issues. All respondents were asked questions so that they could be classified according to demographic, geographic and social variables. Topics of interest include: car ownership; China; city problems; communism; economic depression; Eisenhower; elections; gender issues; housing; ideal job for women; international trade; life expectancy; marriage quarrels; price trends; Prime Minister; political parties; changes in postage price; Russia; sleeping patterns; unemployment rates; union membership; voting behaviour; work in an asylum; and the world tour taken by the Prime Minister. Basic demographics variables are also included.

  14. F

    Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years...

    • fred.stlouisfed.org
    json
    Updated Sep 15, 2025
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    (2025). Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LREM25FEUSQ156S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States (LREM25FEUSQ156S) from Q1 1977 to Q2 2025 about 25 to 54 years, employment-population ratio, females, population, employment, rate, and USA.

  15. Prime Office operating profit 2019 to 2023

    • statista.com
    Updated Jul 19, 2025
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    Statista (2025). Prime Office operating profit 2019 to 2023 [Dataset]. https://www.statista.com/statistics/1594283/prime-office-operating-profit/
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    Dataset updated
    Jul 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Denmark
    Description

    The operating profit of Prime Office with headquarters in Denmark amounted to ****** million Danish kroner in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total increase by approximately ***** million Danish kroner. The trend from 2019 to 2023 shows, however, that this increase did not happen continuously.

  16. m

    Siri Prime Office Property Fd - Change-In-Other-Working-Capital

    • macro-rankings.com
    csv, excel
    Updated Aug 9, 2025
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    macro-rankings (2025). Siri Prime Office Property Fd - Change-In-Other-Working-Capital [Dataset]. https://www.macro-rankings.com/Markets/Stocks/SIRI-BK/Cashflow-Statement/Change-In-Other-Working-Capital
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    csv, excelAvailable download formats
    Dataset updated
    Aug 9, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    thailand
    Description

    Change-In-Other-Working-Capital Time Series for Siri Prime Office Property Fd. Sansiri Public Company Limited, together with its subsidiaries, engages in the property development business in Thailand. The company operates through Property Development Business; Building Management, Project Management, and Real Estate Brokerage Business; Hotel Management; and Other Business segments. It develops single-detached and semi-detached houses, townhomes, home offices, and condominium projects; and invests in leasehold commercial building under the Habito Mall retail name, which includes various retails shops and restaurants. The company also offers property and asset management services, including property brokerage services, property sales management, property development consultancy, and property management; building inspection services; lifestyle concierge service for individuals and corporates; and event management and wedding planning services, as well as engages in hospitality business; and educational business under the Satit Pattana School name. In addition, it is involved in the investment business, which invests in future, such as way of life, work, recreation, and learning through new technologies and media. Further, the company provides administrative, restaurant club management, and smart surveillance technology services; engages in the wholesale distribution of standard branded products, as well as E-commerce and retail activities. Additionally, it is involved in the land and housing projects, residential condominium projects, and rental of serviced apartments and office buildings. Sansiri Public Company Limited was founded in 1984 and is headquartered in Bangkok, Thailand.

  17. a

    Construction work sites defined : information for employers and prime...

    • open.alberta.ca
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    Construction work sites defined : information for employers and prime contractors - Open Government [Dataset]. https://open.alberta.ca/dataset/li064-construction-work-sites-defined
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    Description

    Defines construction work sites for the purposes of the Occupational Health and Safety Act section 10(1).

  18. S

    Singapore Govt Expenditure: Operating: GA: Prime Minister's Office

    • ceicdata.com
    Updated May 15, 2023
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    CEICdata.com (2023). Singapore Govt Expenditure: Operating: GA: Prime Minister's Office [Dataset]. https://www.ceicdata.com/en/singapore/government-operating-expenditure/govt-expenditure-operating-ga-prime-ministers-office
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    Dataset updated
    May 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Operating Statement
    Description

    Singapore Govt Expenditure: Operating: GA: Prime Minister's Office data was reported at 151.500 SGD mn in Sep 2018. This records an increase from the previous number of 68.500 SGD mn for Jun 2018. Singapore Govt Expenditure: Operating: GA: Prime Minister's Office data is updated quarterly, averaging 65.500 SGD mn from Sep 2006 (Median) to Sep 2018, with 49 observations. The data reached an all-time high of 254.300 SGD mn in Mar 2018 and a record low of 19.100 SGD mn in Jun 2008. Singapore Govt Expenditure: Operating: GA: Prime Minister's Office data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.F005: Government Operating Expenditure.

  19. B

    Brunei Labour Force

    • ceicdata.com
    Updated Feb 22, 2018
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    CEICdata.com (2018). Brunei Labour Force [Dataset]. https://www.ceicdata.com/en/brunei/labour-force/labour-force
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    Dataset updated
    Feb 22, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 1991 - Dec 1, 2024
    Area covered
    Brunei
    Variables measured
    Labour Force
    Description

    Brunei Labour Force data was reported at 233.800 Person th in 2024. This records an increase from the previous number of 228.598 Person th for 2023. Brunei Labour Force data is updated yearly, averaging 221.466 Person th from Dec 1991 (Median) to 2024, with 12 observations. The data reached an all-time high of 233.800 Person th in 2024 and a record low of 111.955 Person th in 1991. Brunei Labour Force data remains active status in CEIC and is reported by Department of Economic Planning and Statistics, Ministry of Finance and Economy. The data is categorized under Global Database’s Brunei – Table BN.G: Labour Force. Department of Economic Planning and Development, Prime Minister's Office provides the number of labour force Working Age Population between 15-64 Years

  20. F

    Labor Force Participation Rate - Men

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Labor Force Participation Rate - Men [Dataset]. https://fred.stlouisfed.org/series/LNS11300001
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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 Labor Force Participation Rate - Men (LNS11300001) from Jan 1948 to Aug 2025 about males, participation, labor force, 16 years +, labor, household survey, rate, and USA.

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(2025). Employment-Population Ratio - 25-54 Yrs. [Dataset]. https://fred.stlouisfed.org/series/LNS12300060

Employment-Population Ratio - 25-54 Yrs.

LNS12300060

Explore at:
10 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 - 25-54 Yrs. (LNS12300060) from Jan 1948 to Aug 2025 about 25 to 64 years, employment-population ratio, population, employment, and USA.

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