89 datasets found
  1. F

    Employed full time: Wage and salary workers: Budget analysts occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254582600A
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    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Men (LEU0254582600A) from 2000 to 2024 about analysts, budget, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  2. F

    Employed full time: Wage and salary workers: Budget analysts occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254689400A
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    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Women (LEU0254689400A) from 2000 to 2024 about analysts, budget, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  3. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Jan 19, 2023
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    (2023). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254529200A
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    jsonAvailable download formats
    Dataset updated
    Jan 19, 2023
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over (LEU0254529200A) from 2000 to 2022 about analysts, second quartile, budget, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  4. U

    United States CBO Projection: CPI U: Less Food & Energy: Annual

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CBO Projection: CPI U: Less Food & Energy: Annual [Dataset]. https://www.ceicdata.com/en/united-states/consumer-price-index-urban-projection-congressional-budget-office/cbo-projection-cpi-u-less-food--energy-annual
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    Dataset updated
    Feb 15, 2025
    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, 2018 - Dec 1, 2029
    Area covered
    United States
    Variables measured
    Consumer Prices
    Description

    United States CBO Projection:(CPI) Consumer Price IndexU: Less Food & Energy: Annual data was reported at 334.595 1982-1984=100 in 2029. This records an increase from the previous number of 326.902 1982-1984=100 for 2028. United States CBO Projection:(CPI) Consumer Price IndexU: Less Food & Energy: Annual data is updated yearly, averaging 270.654 1982-1984=100 from Dec 2011 (Median) to 2029, with 19 observations. The data reached an all-time high of 334.595 1982-1984=100 in 2029 and a record low of 224.992 1982-1984=100 in 2011. United States CBO Projection:(CPI) Consumer Price IndexU: Less Food & Energy: Annual data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.I004: Consumer Price Index: Urban: Projection: Congressional Budget Office. Refer to Series ID 41090601 for the actual figures from Bureau of Labor Statistics

  5. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254742800A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over: Women (LEU0254742800A) from 2000 to 2011 about analysts, second quartile, budget, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  6. United States CBO Projection: CPI U: Annual

    • ceicdata.com
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    CEICdata.com, United States CBO Projection: CPI U: Annual [Dataset]. https://www.ceicdata.com/en/united-states/consumer-price-index-urban-projection-congressional-budget-office/cbo-projection-cpi-u-annual
    Explore at:
    Dataset provided by
    CEIC Data
    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, 2018 - Dec 1, 2029
    Area covered
    United States
    Variables measured
    Consumer Prices
    Description

    United States CBO Projection:(CPI) Consumer Price IndexU: Annual data was reported at 325.772 1982-1984=100 in 2029. This records an increase from the previous number of 318.264 1982-1984=100 for 2028. United States CBO Projection:(CPI) Consumer Price IndexU: Annual data is updated yearly, averaging 263.055 1982-1984=100 from Dec 2011 (Median) to 2029, with 19 observations. The data reached an all-time high of 325.772 1982-1984=100 in 2029 and a record low of 224.960 1982-1984=100 in 2011. United States CBO Projection:(CPI) Consumer Price IndexU: Annual data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.I004: Consumer Price Index: Urban: Projection: Congressional Budget Office. Refer to Series ID 41060801 for the actual figures from the Bureau of Labor Statistics

  7. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
    + more versions
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254636000A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over: Men (LEU0254636000A) from 2000 to 2011 about analysts, second quartile, budget, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  8. d

    Ministry of Labor, Bureau of Labor Insurance, unit budget

    • data.gov.tw
    webservices +1
    Updated Jul 21, 2025
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    Bureau of Labor Insurance, MOL (2025). Ministry of Labor, Bureau of Labor Insurance, unit budget [Dataset]. https://data.gov.tw/en/datasets/11238
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    webservices, 壓縮檔Available download formats
    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    Bureau of Labor Insurance, MOL
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The recent annual budget..........................

  9. 2022 American Community Survey: S2301 | Employment Status (ACS 5-Year...

    • data.census.gov
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    ACS, 2022 American Community Survey: S2301 | Employment Status (ACS 5-Year Estimates Subject Tables) [Dataset]. https://data.census.gov/table/ACSST5Y2022.S2301?q=S2301
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2022
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  10. United States CBO Projection: Employment: Non Farm: QoQ

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CBO Projection: Employment: Non Farm: QoQ [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-projection-congressional-budget-office/cbo-projection-employment-non-farm-qoq
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2027 - Dec 1, 2029
    Area covered
    United States
    Description

    United States CBO Projection: Employment: Non Farm: QoQ data was reported at 0.503 % in Dec 2029. This records a decrease from the previous number of 0.504 % for Sep 2029. United States CBO Projection: Employment: Non Farm: QoQ data is updated quarterly, averaging 0.509 % from Sep 2011 (Median) to Dec 2029, with 74 observations. The data reached an all-time high of 2.240 % in Dec 2014 and a record low of 0.103 % in Jun 2022. United States CBO Projection: Employment: Non Farm: QoQ data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.G030: Current Employment Statistics Survey: Employment: Non Farm: Projection: Congressional Budget Office.

  11. 2021 American Community Survey: DP03 | SELECTED ECONOMIC CHARACTERISTICS...

    • test.data.census.gov
    • data.census.gov
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    ACS, 2021 American Community Survey: DP03 | SELECTED ECONOMIC CHARACTERISTICS (ACS 1-Year Estimates Data Profiles) [Dataset]. https://test.data.census.gov/table/ACSDP1Y2021.DP03?g=500XX00US3000
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2021
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Workers include members of the Armed Forces and civilians who were at work last week..Industry titles and their 4-digit codes are based on the 2017 North American Industry Classification System. The Industry categories adhere to the guidelines issued in Clarification Memorandum No. 2, "NAICS Alternate Aggregation Structure for Use By U.S. Statistical Agencies," issued by the Office of Management and Budget..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..Logical coverage edits applying a rules-based assignment of Medicaid, Medicare and military health coverage were added as of 2009 -- please see https://www.census.gov/library/working-papers/2010/demo/coverage_edits_final.html for more details. Select geographies of 2008 data comparable to the 2009 and later tables are available at https://www.census.gov/data/tables/time-series/acs/1-year-re-run-health-insurance.html. The health insurance coverage category names were modified in 2010. See https://www.census.gov/topics/health/health-insurance/about/glossary.html#par_textimage_18 for a list of the insurance type definitions..Beginning in 2017, selected variable categories were updated, including age-categories, income-to-poverty ratio (IPR) categories, and the age universe for certain employment and education variables. See user note entitled "Health Insurance Table Updates" for further details..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..In 2019, methodological changes were made to the class of worker question. These changes involved modifications to the question wording, the category wording, and the visual format of the categories on the questionnaire. The format for the class of worker categories are now listed under the headings "Private Sector Employee," "Government Employee," and "Self-Employed or Other." Additionally, the category of Active Duty was added as one of the response categories under the "Government Employee" section for the mail questionnaire. For more detailed information about the 2019 changes, see the 2016 American Community Survey Content Test Report for Class of Worker located at http://www.census.gov/library/working-papers/2017/acs/2017_Martinez_01.html..Beginning in data year 2019, respondents to the Weeks Worked question provided an integer value for the number of weeks worked. For data years 2008 through 2018, respondents selected a category corresponding to the number of weeks worked..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS...

  12. United States CBO Projection: Employment: Non Farm: Annual

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CBO Projection: Employment: Non Farm: Annual [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-projection-congressional-budget-office/cbo-projection-employment-non-farm-annual
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    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, 2018 - Dec 1, 2029
    Area covered
    United States
    Description

    United States CBO Projection: Employment: Non Farm: Annual data was reported at 157,572.000 Person th in 2029. This records an increase from the previous number of 156,782.000 Person th for 2028. United States CBO Projection: Employment: Non Farm: Annual data is updated yearly, averaging 152,250.000 Person th from Dec 2011 (Median) to 2029, with 19 observations. The data reached an all-time high of 157,572.000 Person th in 2029 and a record low of 131,143.000 Person th in 2011. United States CBO Projection: Employment: Non Farm: Annual data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.G030: Current Employment Statistics Survey: Employment: Non Farm: Projection: Congressional Budget Office.

  13. United States CBO Projection: Employment: Non Farm: Annual: YoY

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CBO Projection: Employment: Non Farm: Annual: YoY [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-projection-congressional-budget-office/cbo-projection-employment-non-farm-annual-yoy
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    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, 2018 - Dec 1, 2029
    Area covered
    United States
    Description

    United States CBO Projection: Employment: Non Farm: Annual: YoY data was reported at 0.503 % in 2029. This records a decrease from the previous number of 0.504 % for 2028. United States CBO Projection: Employment: Non Farm: Annual: YoY data is updated yearly, averaging 0.808 % from Dec 2011 (Median) to 2029, with 19 observations. The data reached an all-time high of 2.110 % in 2015 and a record low of 0.123 % in 2022. United States CBO Projection: Employment: Non Farm: Annual: YoY data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.G030: Current Employment Statistics Survey: Employment: Non Farm: Projection: Congressional Budget Office.

  14. d

    Employment Services Budget and Expenditures FY2014 to FY2018

    • catalog.data.gov
    • opendata.dc.gov
    Updated Feb 5, 2025
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    City of Washington, DC (2025). Employment Services Budget and Expenditures FY2014 to FY2018 [Dataset]. https://catalog.data.gov/dataset/employment-services-budget-and-expenditures-fy2014-to-fy2018
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The Council’s Department of Employment Services (DOES) Dashboard is an interactive data visualization tool, built in Tableau, that allows users to analyze the agency’s operating budget and expenditure data. Negative expenditures under the Expenditure Summary tab most likely indicates a reversal under the District’s accrual-based accounting methodology. You can read more about government accounting best practices here. Visit the DC Council Office of the Budget Director website for further documentation.

  15. 2021 American Community Survey: B23025 | EMPLOYMENT STATUS FOR THE...

    • data.census.gov
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    ACS, 2021 American Community Survey: B23025 | EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2021.B23025?tid=ACSDT1Y2021.B23025
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2021
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Armed Forces data are not shown for the population 65 years and over..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  16. United States CBO Projection: Employment Cost Index

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States CBO Projection: Employment Cost Index [Dataset]. https://www.ceicdata.com/en/united-states/employment-cost-index-projection-congressional-budget-office
    Explore at:
    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEIC Data
    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, 2017 - Dec 1, 2028
    Area covered
    United States
    Description

    CBO Projection: Employment Cost Index data was reported at 183.862 Index in 2028. This records an increase from the previous number of 178.506 Index for 2027. CBO Projection: Employment Cost Index data is updated yearly, averaging 143.160 Index from Dec 2012 (Median) to 2028, with 17 observations. The data reached an all-time high of 183.862 Index in 2028 and a record low of 116.081 Index in 2012. CBO Projection: Employment Cost Index data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.G076: Employment Cost Index: Projection: Congressional Budget Office.

  17. Budget expenditure of Ministry of Labor Thailand FY 2016-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Budget expenditure of Ministry of Labor Thailand FY 2016-2024 [Dataset]. https://www.statista.com/statistics/1045537/thailand-total-budget-expenditure-of-ministry-of-labor/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Thailand
    Description

    In the fiscal year of 2024, the total budget expenditure of the Ministry of Labor in Thailand amounted to around **** billion Thai baht. The Ministry of Labor is responsible for the oversight of labor administration and protection, skill development, and the promotion of employment in Thailand.

  18. 2019 American Community Survey: DP03 | SELECTED ECONOMIC CHARACTERISTICS...

    • data.census.gov
    Updated Apr 1, 2010
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    ACS (2010). 2019 American Community Survey: DP03 | SELECTED ECONOMIC CHARACTERISTICS (ACS 1-Year Estimates Data Profiles) [Dataset]. https://data.census.gov/table/ACSDP1Y2019.DP03?g=050XX00US04015
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    Dataset updated
    Apr 1, 2010
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2019
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Workers include members of the Armed Forces and civilians who were at work last week..Industry titles and their 4-digit codes are based on the 2017 North American Industry Classification System. The Industry categories adhere to the guidelines issued in Clarification Memorandum No. 2, "NAICS Alternate Aggregation Structure for Use By U.S. Statistical Agencies," issued by the Office of Management and Budget..Logical coverage edits applying a rules-based assignment of Medicaid, Medicare and military health coverage were added as of 2009 -- please see https://www.census.gov/library/working-papers/2010/demo/coverage_edits_final.html for more details. Select geographies of 2008 data comparable to the 2009 and later tables are available at https://www.census.gov/data/tables/time-series/acs/1-year-re-run-health-insurance.html. The health insurance coverage category names were modified in 2010. See https://www.census.gov/topics/health/health-insurance/about/glossary.html#par_textimage_18 for a list of the insurance type definitions..Beginning in 2017, selected variable categories were updated, including age-categories, income-to-poverty ratio (IPR) categories, and the age universe for certain employment and education variables. See user note entitled "Health Insurance Table Updates" for further details..2019 ACS data products include updates to several categories of the existing means of transportation question. For more information, see: Change to Means of Transportation..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..Beginning in data year 2019, respondents to the Weeks Worked question provided an integer value for the number of weeks worked. For data years 2008 through 2018, respondents selected a category corresponding to the number of weeks worked..In 2019, methodological changes were made to the class of worker question. These changes involved modifications to the question wording, the category wording, and the visual format of the categories on the questionnaire. The format for the class of worker categories are now listed under the headings "Private Sector Employee," "Government Employee," and "Self-Employed or Other." Additionally, the category of Active Duty was added as one of the response categories under the "Government Employee" section for the mail questionnaire. For more detailed information about the 2019 changes, see the 2016 American Community Survey Content Test Report for Class of Woker located at http://www.census.gov/library/working-papers/2017/acs/2017_Martinez_01.html..The 2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain inst...

  19. Kaohsiung City Labor and Employment Statistics Quick Report

    • data.gov.tw
    csv, json
    Updated Jun 30, 2025
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    Kaohsiung City Government Department of Budget, Accounting and Statistics (2025). Kaohsiung City Labor and Employment Statistics Quick Report [Dataset]. https://data.gov.tw/en/datasets/155850
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    csv, jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Department of Budget, Accounting and Statistics
    Authors
    Kaohsiung City Government Department of Budget, Accounting and Statistics
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Kaohsiung City
    Description

    Labor force statistics flash report...............

  20. United States CBO Projection: Labor Force: saar: QoQ

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CBO Projection: Labor Force: saar: QoQ [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-labour-force-projection-congressional-budget-office/cbo-projection-labor-force-saar-qoq
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2027 - Dec 1, 2029
    Area covered
    United States
    Description

    United States CBO Projection: Labor Force: saar: QoQ data was reported at 0.455 % in Dec 2029. This records an increase from the previous number of 0.453 % for Sep 2029. United States CBO Projection: Labor Force: saar: QoQ data is updated quarterly, averaging 0.542 % from Sep 2011 (Median) to Dec 2029, with 74 observations. The data reached an all-time high of 1.654 % in Sep 2011 and a record low of -1.050 % in Dec 2013. United States CBO Projection: Labor Force: saar: QoQ data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.G013: Current Population Survey: Labour Force: Projection: Congressional Budget Office.

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(2025). Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254582600A

Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Men

LEU0254582600A

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jsonAvailable download formats
Dataset updated
Jan 22, 2025
License

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

Description

Graph and download economic data for Employed full time: Wage and salary workers: Budget analysts occupations: 16 years and over: Men (LEU0254582600A) from 2000 to 2024 about analysts, budget, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

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