100+ datasets found
  1. U.S. seasonally adjusted unemployment rate 2023-2025

    • statista.com
    Updated Jul 29, 2025
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    Statista (2025). U.S. seasonally adjusted unemployment rate 2023-2025 [Dataset]. https://www.statista.com/statistics/273909/seasonally-adjusted-monthly-unemployment-rate-in-the-us/
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    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023 - Jun 2025
    Area covered
    United States
    Description

    The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In June 2025, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends.

  2. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Sep 15, 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
    Jan 31, 1948 - Aug 31, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States increased to 4.30 percent in August from 4.20 percent in July of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. U.S. youth unemployment rate seasonally adjusted 2023-2025

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. youth unemployment rate seasonally adjusted 2023-2025 [Dataset]. https://www.statista.com/statistics/217448/seasonally-adjusted-monthly-youth-unemployment-rate-in-the-us/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023 - Feb 2025
    Area covered
    United States
    Description

    Youth unemployment stood at 9.7 percent in February 2025. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate by state can be found here, and the annual national unemployment rate can be found here. Youth unemployment in the United States The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment. During the period in question, youth unemployment ranged from a high of 9.9 percent in April 2021, to a low of 6.5 percent in April 2023. The national youth unemployment rate can be compared to the monthly national unemployment rate in the United States, although youth unemployment tends to be much higher due to higher rates of participation in education. In May 2023, U.S. unemployment was at 3.7 percent, compared with 7.4 percent amongst those 16 to 24 years old. Additionally, as of May 2023, Nevada had the highest state unemployment rate of all U.S. states, at 5.4 percent.

  4. y

    US Unemployment Rate

    • ycharts.com
    html
    Updated Sep 5, 2025
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    Bureau of Labor Statistics (2025). US Unemployment Rate [Dataset]. https://ycharts.com/indicators/us_unemployment_rate
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1948 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Unemployment Rate
    Description

    View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…

  5. U.S. unemployment rate 2025, by occupation

    • statista.com
    Updated Oct 9, 2025
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    Statista (2025). U.S. unemployment rate 2025, by occupation [Dataset]. https://www.statista.com/statistics/217782/unemployment-rate-in-the-united-states-by-occupation/
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    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2025
    Area covered
    United States
    Description

    In August 2025, the unemployment rate for those aged 16 and over in the United States came to 4.5 percent. Service occupations had an unemployment rate of 5.7 percent in that month. The underemployment rate of the country can be accessed here and the monthly unemployment rate here. Unemployment by occupation in the U.S. The United States Bureau of Labor Statistics publish data on the unemployment situation within certain occupations in the United States on a monthly basis. According to latest data released from May 2023, transportation and material moving occupations experienced the highest level of unemployment that month, with a rate of around 5.6 percent. Second ranked was farming, fishing, and forestry occupations with a rate of 4.9 percent. Total (not seasonally adjusted) unemployment was reported at 3.6 percent in March 2023. Other data on the U.S. unemployment rate by industry and class of worker shows comparable results. It should be noted that the data were not seasonally adjusted to account for normal seasonal fluctuations in unemployment. The monthly unemployment by occupation data can be compared to the seasonally adjusted monthly unemployment rate. In March 2023, the seasonally adjusted unemployment rate was 3.5 percent, which was an increase from the previous month. The annual unemployment rate in 2022 was 3.6 percent, down from a high of 9.6 in 2010. Unemployment in the United States trended downward after the coronavirus pandemic, and is now experiencing consistently low rates - a sign of economic stability. Individuals who opt to leave the workforce and stop looking for employment are not included among the unemployed. The civilian labor force participation rate in the U.S. rose to 62.2 percent in 2022, down from 67.1 percent in 2000, before the financial crisis.

  6. T

    Japan Unemployment Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Aug 28, 2025
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    TRADING ECONOMICS (2025). Japan Unemployment Rate [Dataset]. https://tradingeconomics.com/japan/unemployment-rate
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Aug 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
    Jan 31, 1953 - Aug 31, 2025
    Area covered
    Japan
    Description

    Unemployment Rate in Japan increased to 2.60 percent in August from 2.30 percent in July of 2025. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. U.S. unadjusted unemployment rate 2023-2025

    • statista.com
    Updated Apr 24, 2014
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    Statista (2014). U.S. unadjusted unemployment rate 2023-2025 [Dataset]. https://www.statista.com/statistics/273559/unadjusted-monthly-unemployment-rate-in-the-us/
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    Dataset updated
    Apr 24, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2023 - Aug 2025
    Area covered
    United States
    Description

    The unadjusted unemployment rate in the United States stood at 4.5 percent in August 2025. This data is not seasonally adjusted. The adjusted monthly unemployment rate can be found here and the monthly civilian labor force participation rate here.

  8. y

    New York Unemployment Rate

    • ycharts.com
    html
    Updated Sep 19, 2025
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    Bureau of Labor Statistics (2025). New York Unemployment Rate [Dataset]. https://ycharts.com/indicators/new_york_unemployment_rate
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    htmlAvailable download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1976 - Aug 31, 2025
    Area covered
    New York, New York
    Variables measured
    New York Unemployment Rate
    Description

    View monthly updates and historical trends for New York Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts analytics.

  9. T

    China Youth Unemployment Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 17, 2025
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    TRADING ECONOMICS (2025). China Youth Unemployment Rate [Dataset]. https://tradingeconomics.com/china/youth-unemployment-rate
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 17, 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
    Mar 31, 2021 - Aug 31, 2025
    Area covered
    China
    Description

    Youth Unemployment Rate in China increased to 18.90 percent in August from 17.80 percent in July of 2025. This dataset includes a chart with historical data for China Youth Unemployment Rate.

  10. T

    United Kingdom Unemployment Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 14, 2025
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    TRADING ECONOMICS (2025). United Kingdom Unemployment Rate [Dataset]. https://tradingeconomics.com/united-kingdom/unemployment-rate
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Oct 14, 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
    Mar 31, 1971 - Aug 31, 2025
    Area covered
    United Kingdom
    Description

    Unemployment Rate in the United Kingdom increased to 4.80 percent in August from 4.70 percent in July of 2025. This dataset provides the latest reported value for - United Kingdom Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. B

    Labour Force Survey, November 2021 [Canada] [Rebased, 2023 Revisions]

    • borealisdata.ca
    Updated Sep 3, 2025
    + more versions
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    Labour Statistics Division (2025). Labour Force Survey, November 2021 [Canada] [Rebased, 2023 Revisions] [Dataset]. http://doi.org/10.5683/SP3/PWHMJG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 3, 2025
    Dataset provided by
    Borealis
    Authors
    Labour Statistics Division
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/PWHMJGhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/PWHMJG

    Time period covered
    Nov 15, 2021 - Nov 19, 2021
    Area covered
    Canada
    Description

    The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). It contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution.LFS revisions: Labour force surveys are revised on a periodic basis, either to adopt the most recent geography, industry and occupation classifications; to use new observations to fine-tune seasonal adjustment factors; or to introduce methodological enhancement. Prior LFS revisions were conducted in 2011, 2015 and 2021. The most recent revisions to the LFS were conducted in 2023. The first major change was a transition to the National Occupational Classification (NOC) 2021 V1.0, with all LFS series from 1987 onwards having been revised to the new classification. The second major change were methodological enhancements to LFS data processing, applied to all LFS series beginning Jan 2006. The third major change was a revision of seasonal adjustment factors, applied to LFS series Jan 2002 onward. A list of prior versions of this LFS dataset can be found under the ‘Versions’ tab.

  12. Unemployment rate of the UK 2000-2025, by country

    • statista.com
    Updated Feb 15, 2025
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    Statista (2025). Unemployment rate of the UK 2000-2025, by country [Dataset]. https://www.statista.com/statistics/279990/unemployment-rate-in-the-uk-by-country/
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In the second quarter of 2025, the unemployment rate in the United Kingdom was highest in England, where it was 4.8 percent, followed by Wales at 4.3 percent, Scotland at 3.8 percent, and 2.4 percent in Northern Ireland, the lowest rate among the four countries of the UK. For all four countries, the peak in unemployment during this period was in the early 2010s. England and Scotland's unemployment rates were highest in Q4 2011 at 8.4 percent and 8.6 percent respectively, with unemployment reaching 9.7 percent in Wales during Q3 2011. Northern Ireland reported its highest unemployment rate in Q1 of 2013 when it reached eight percent. Unemployment ticking up as UK enters 2025 For the United Kingdom as a whole, the unemployment rate was 4.4 percent in November 2024, the joint-highest rate recorded since August 2021. After reaching 8.5 percent in late 2011, unemployment in the UK fell quite consistently for several years, with this recovery interrupted by the COVID-19 pandemic, which saw unemployment rise to 5.3 percent in late 2020 and early 2021. From this point onwards, however, the labor market bounced back, and was particular strong in 2022 when there were a record number of job vacancies and unemployment fell to as low as 3.6 percent. While the labor market cooled throughout 2023 and 2024, unemployment remained at historically low levels. Overall economy grows but GDP per head falls Throughout the whole of 2024, gross domestic product in the UK grew by 0.9 percent, but in the third quarter of the year, there was no economic growth, followed by the relatively weak growth rate of 0.1 percent in the fourth quarter. Furthermore, GDP per head in the UK, declined for a second-consecutive year, and was just 36,977 pounds in 2024, compared with 37,371 pounds in 2022. Inflation, meanwhile, has fallen from the peak of 11.1 percent in October 2022, but was still at the relatively high rate of 4 percent at the start of 2024, with this falling to 2.5 percent by the end of the year.

  13. F

    Unemployment Rate in Somerset County, NJ

    • fred.stlouisfed.org
    json
    Updated Oct 1, 2025
    + more versions
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    (2025). Unemployment Rate in Somerset County, NJ [Dataset]. https://fred.stlouisfed.org/series/NJSOME0URN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 1, 2025
    License

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

    Area covered
    Somerset County, New Jersey
    Description

    Graph and download economic data for Unemployment Rate in Somerset County, NJ (NJSOME0URN) from Jan 1990 to Aug 2025 about Somerset County, NJ; NJ; New York; unemployment; rate; and USA.

  14. F

    Unemployment Rate - Black or African American

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Unemployment Rate - Black or African American [Dataset]. https://fred.stlouisfed.org/series/LNS14000006
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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 Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Aug 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

  15. T

    Australia Unemployment Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). Australia Unemployment Rate [Dataset]. https://tradingeconomics.com/australia/unemployment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 16, 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
    Feb 28, 1978 - Sep 30, 2025
    Area covered
    Australia
    Description

    Unemployment Rate in Australia increased to 4.50 percent in September from 4.30 percent in August of 2025. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. Labour force characteristics by province, monthly, seasonally adjusted

    • www150.statcan.gc.ca
    Updated Oct 10, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Labour force characteristics by province, monthly, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410028701-eng
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    Dataset updated
    Oct 10, 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 province, gender and age group. 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.

  17. m

    Periodic Labour Force Survey (PLFS), July 2021-June 2022 - India

    • microdata.gov.in
    Updated Nov 13, 2024
    + more versions
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    (2024). Periodic Labour Force Survey (PLFS), July 2021-June 2022 - India [Dataset]. https://microdata.gov.in/NADA/index.php/catalog/214
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    Dataset updated
    Nov 13, 2024
    Area covered
    India
    Description

    Abstract

    The objective of PLFS is primarily on two aspects. The first is to measure the dynamics in labour force participation and employment status in the short time interval of three months for the urban areas only in the Current Weekly Status (CWS). Thus, in every quarter, PLFS will bring out the level and change estimates of the key labour force indicators in CWS viz. Worker Population Ratio (WPR), Labour Force Participation Rate (LFPR), Unemployment Rate (UR). Secondly, for both rural and urban areas, level estimates of all important parameters in both usual status and CWS will be brought out annually.

    Geographic coverage

    12800 FSUs (7024 villages and 5776 UFS blocks) will be covered annually at all-India level.

    Sampling procedure

    A rotational panel sampling design will be used in urban area. The rotational scheme will be of two years duration to accommodate the changes in the urban frame in the intracensal period; in the sense that the sampling frames for both rural and urban areas will remain unchanged for every two-year duration. In this rotational panel scheme each selected household in urban areas will be visited four times - one with first visit schedule and other three with revisit schedule. The estimates can be given for successive quarters without any break in the series (starting from the fifth quarter), ensuring a 75% matching between consecutive quarters. Regression based estimates will not be generated. Instead, usual traditional design based estimates will be generated. The proposed design aims at generating quarterly estimates of level and change parameters of some important labour force indicators (LFPR, WPR & UR) based on CWS data in urban areas and annual estimates of level parameters based on usual status for both rural and urban areas in the line of employment & unemployment survey of NSS quinquennial round.

    Rotational panel design for urban areas

    i. The initial rotational panel will be for two years, where only 25% FSUs of urban annual allocation will be covered in the first quarter (Panel P11) with detail listing and canvassing of visit 1 schedule in the selected households; where Pij indicates the panel belonging to jthquarter of the ith two-year period of rotation. ii. Another 25% FSUs will be covered in the second quarter (Panel P12) for taking up visit 1 schedule and revisit schedule will be canvassed in the selected households of Panel P11. iii. A new panel P13 of 25% FSUs will be surveyed in third quarter with visit 1 schedule andrevisit schedules will be nvassed in the households of panels P11 & P12. iv. In the fourth quarter, households of panels P11, P12 & P13 will be surveyed with revisit schedule and a new panel P14 with 25% FSUs for visit 1 schedule. v. In the subsequent quarters of second year 75% FSUs (3 panels - P12, P13 & P14) will be common and an earlier panel (P11) will be replaced by a new panel (P15) for canvassingvisit 1 schedule. This will continue till 8th quarter. vi. All the FSUs of the panels P11, P12, ...., P18 (each of which is with 25% of FSUs) will beselected before commencement of survey in the first quarter. vii. At the end of the second year of each two-year duration, updated frame will be used for both rural and urban areas. viii. FSUs of another set of panels P21, P22, ..., P28 selected from the updated frame will be made ready before commencement of first quarter of third year (first quarter of the second two year duration). These panels P21 to P28 will take care of the changes in the urban frame during the intracensal period. ix. In the ninth quarter (first quarter of the second two-year duration), panel P21 selected from the updated frame will be introduced and the panels P16, P17 and P18 of the old frame will be surveyed. x. This scheme will continue for another 2 years with the introduction of panels P22 to P28 each in one quarter for the subsequent 7 quarters till the end of the fourth year (second year of the two-year period). xi. This scheme of rotation of panels will enable generation of estimates of change parameters with 75% matching and 25% of unmatched samples from fifth quarter onwards. xii. One of the main advantages of this plan of rotation is that there will not be any break in the series of estimates of the change parameters starting from 5th quarter. xiii. Since major changes in the rural-urban frame occurs in the Census years (say for the year 2023-24), provision is to be made to generate estimates without break in the series of estimates considering panels from pre and post-census frames.

    Rural samples For rural areas, samples for all the 8 quarters will be selected before commencement of survey for each two-year period, while the frame remains same for this duration. In each quarter, only 25% FSUs of annual allocation (as is done in each sub-round of NSS rounds) will be covered in rural areas so that independent estimates can be generated for each quarter. For this purpose, quarterly allocation will be multiple of 2 for drawing interpenetrating sub-samples

    Mode of data collection

    Face to Face

  18. A

    ‘Unemployment rates by sex, age and country of birth (%)’ analyzed by...

    • analyst-2.ai
    Updated Sep 30, 2021
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Unemployment rates by sex, age and country of birth (%)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-unemployment-rates-by-sex-age-and-country-of-birth-77d4/14abfa0d/?iid=004-418&v=presentation
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    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Unemployment rates by sex, age and country of birth (%)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://data.europa.eu/data/datasets/ehsexelbeaxhbn9drpbjkq on 29 August 2021.

    --- No further description of dataset provided by original source ---

    --- Original source retains full ownership of the source dataset ---

  19. Alternative Claimant Count statistics January 2013 to August 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 12, 2021
    + more versions
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    Department for Work and Pensions (2021). Alternative Claimant Count statistics January 2013 to August 2021 [Dataset]. https://www.gov.uk/government/statistics/alternative-claimant-count-statistics-january-2013-to-august-2021
    Explore at:
    Dataset updated
    Oct 12, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Work and Pensions
    Description

    Find the latest release of these statistics in the collection of Alternative Claimant Count statistics.

    These Alternative Claimant Count statistics measure the number of people claiming unemployment related benefits by modelling what the count would have been if Universal Credit had been in place since 2013.

    Lead Statistician: Steve Watkins

  20. y

    Stamford, CT Unemployment Rate

    • ycharts.com
    html
    Updated Oct 1, 2025
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    Bureau of Labor Statistics (2025). Stamford, CT Unemployment Rate [Dataset]. https://ycharts.com/indicators/stamford_ct_unemployment_rate
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    htmlAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1990 - Aug 31, 2025
    Area covered
    Stamford, Connecticut
    Variables measured
    Stamford, CT Unemployment Rate
    Description

    View monthly updates and historical trends for Stamford, CT Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts analyt…

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Link copied
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Statista (2025). U.S. seasonally adjusted unemployment rate 2023-2025 [Dataset]. https://www.statista.com/statistics/273909/seasonally-adjusted-monthly-unemployment-rate-in-the-us/
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U.S. seasonally adjusted unemployment rate 2023-2025

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37 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 29, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 2023 - Jun 2025
Area covered
United States
Description

The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In June 2025, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends.

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