63 datasets found
  1. F

    All Employees: Total Nonfarm in Grants Pass, OR (MSA)

    • fred.stlouisfed.org
    json
    Updated Jul 28, 2025
    + more versions
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    (2025). All Employees: Total Nonfarm in Grants Pass, OR (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMS41244200000000026
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    jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    License

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

    Area covered
    Grants Pass
    Description

    Graph and download economic data for All Employees: Total Nonfarm in Grants Pass, OR (MSA) (SMS41244200000000026) from Apr 1990 to Jun 2025 about Grants Pass, nonfarm, employment, and USA.

  2. U.S. full-time employees unadjusted monthly number 2022-2024

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). U.S. full-time employees unadjusted monthly number 2022-2024 [Dataset]. https://www.statista.com/statistics/192361/unadjusted-monthly-number-of-full-time-employees-in-the-us/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    As of October 2024, there were 133.89 million full-time employees in the United States. This is a slight decrease from the previous month, when there were 134.15 million full-time employees. The impact COVID-19 on employment In December 2019, the COVID-19 virus began its spread across the globe. Since being classified as a pandemic, the virus caused a global health crisis that has taken the lives of millions of people worldwide. The COVID-19 pandemic changed many facets of society, most significantly, the economy. In the first years, many businesses across all industries were forced to shut down, with large numbers of employees being laid off. The economy continued its recovery in 2022 with the nationwide unemployment rate returning to a more normal 3.4 percent as of April 2023. Unemployment benefits Because so many people in the United States lost their jobs, record numbers of individuals applied for unemployment insurance for the first time. As an early response to this nation-wide upheaval, the government issued relief checks and extended the benefits paid by unemployment insurance. In May 2020, the amount of unemployment insurance benefits paid rose to 23.73 billion U.S. dollars. As of December 2022, this value had declined to 2.24 billion U.S. dollars.

  3. Monthly Fed funds effective rate in the U.S. 1954-2025

    • statista.com
    Updated Aug 4, 2025
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    Statista (2025). Monthly Fed funds effective rate in the U.S. 1954-2025 [Dataset]. https://www.statista.com/statistics/187616/effective-rate-of-us-federal-funds-monthly/
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    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1954 - Jul 2025
    Area covered
    United States
    Description

    The U.S. federal funds effective rate underwent a dramatic reduction in early 2020 in response to the COVID-19 pandemic. The rate plummeted from 1.58 percent in February 2020 to 0.65 percent in March, and further decreased to 0.05 percent in April. This sharp reduction, accompanied by the Federal Reserve's quantitative easing program, was implemented to stabilize the economy during the global health crisis. After maintaining historically low rates for nearly two years, the Federal Reserve began a series of rate hikes in early 2022, with the rate moving from 0.33 percent in April 2022 to 5.33 percent in August 2023. The rate remained unchanged for over a year, before the Federal Reserve initiated its first rate cut in nearly three years in September 2024, bringing the rate to 5.13 percent. By December 2024, the rate was cut to 4.48 percent, signaling a shift in monetary policy in the second half of 2024. In January 2025, the Federal Reserve implemented another cut, setting the rate at 4.33 percent, which remained unchanged throughout the following months. What is the federal funds effective rate? The U.S. federal funds effective rate determines the interest rate paid by depository institutions, such as banks and credit unions, that lend reserve balances to other depository institutions overnight. Changing the effective rate in times of crisis is a common way to stimulate the economy, as it has a significant impact on the whole economy, such as economic growth, employment, and inflation. Central bank policy rates The adjustment of interest rates in response to the COVID-19 pandemic was a coordinated global effort. In early 2020, central banks worldwide implemented aggressive monetary easing policies to combat the economic crisis. The U.S. Federal Reserve's dramatic reduction of its federal funds rate - from 1.58 percent in February 2020 to 0.05 percent by April - mirrored similar actions taken by central banks globally. While these low rates remained in place throughout 2021, mounting inflationary pressures led to a synchronized tightening cycle beginning in 2022, with central banks pushing rates to multi-year highs. By mid-2024, as inflation moderated across major economies, central banks began implementing their first rate cuts in several years, with the U.S. Federal Reserve, Bank of England, and European Central Bank all easing monetary policy.

  4. Uniform National Threshold Entered Employment Rates (UNTEER) by State

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Apr 8, 2025
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    Veterans’ Employment and Training Service (2025). Uniform National Threshold Entered Employment Rates (UNTEER) by State [Dataset]. https://catalog.data.gov/dataset/jobs-for-veterans-state-grants-jvsg-uniform-national-threshold-entered-employment-rate-unt
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    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Veterans' Employment and Training Service
    Description

    The Uniform National Threshold Entered Employment Rate (UNTEER) is a national threshold Veterans’ Entered Employment Rate (VEER) for veterans and other eligible persons served by the Jobs for Veterans State Grants (JVSG) program and the Wagner-Peyser funded Employment Service. This data table shows the percentage of veteran and eligible persons who were not employed at program entry who were then employed in the first quarter after exit by Program Year (PY) for each state, ranked from highest to lowest VEER.

  5. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Money Market:...

    • ceicdata.com
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    CEICdata.com, United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Money Market: Effective Federal Funds Rate [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-employment-non-farm-payroll/non-farm-payroll-nowcast-sa-mom-contribution-money-market-effective-federal-funds-rate
    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 30, 2024 - Mar 17, 2025
    Area covered
    United States
    Description

    United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Money Market: Effective Federal Funds Rate data was reported at 0.557 % in 12 May 2025. This records an increase from the previous number of 0.498 % for 05 May 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Money Market: Effective Federal Funds Rate data is updated weekly, averaging 0.514 % from Jan 2020 (Median) to 12 May 2025, with 277 observations. The data reached an all-time high of 7.571 % in 10 Oct 2022 and a record low of 0.007 % in 11 May 2020. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Money Market: Effective Federal Funds Rate data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.

  6. U

    United States US: Total Business Enterprise R&D Personnel: Per Thousand...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry [Dataset]. https://www.ceicdata.com/en/united-states/number-of-researchers-and-personnel-on-research-and-development-oecd-member-annual/us-total-business-enterprise-rd-personnel-per-thousand-employment-in-industry
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    Dataset updated
    Mar 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
    Dec 1, 2011 - Dec 1, 2020
    Area covered
    United States
    Description

    United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 17.169 Per 1000 in 2020. This records an increase from the previous number of 15.152 Per 1000 for 2019. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 13.282 Per 1000 from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 17.169 Per 1000 in 2020 and a record low of 12.478 Per 1000 in 2012. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

    For the UnitedStates, in the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008.
    From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.
    Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly.
    Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category 'wholesale trade' and consequently the BERD for total services. U.S. R&D data are generally comparable, but there are some areas of underestimation:i) Up to 2008, Government sector R&D performance covers only federal government activities.
    That by State and local government establishments is excluded;
    ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures.
    For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.The methodology for estimating researchers was changed as of 1985.
    In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities.
    As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector.
    The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000.
    2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure - 'R&D plant' in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.
    ;

    Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

    R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

    The MSTI variable 'Value added in industry' is used to this end:

    It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

    Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

  7. i

    Grant Giving Statistics for Federal Employment Law Training Group

    • instrumentl.com
    Updated Feb 27, 2023
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    (2023). Grant Giving Statistics for Federal Employment Law Training Group [Dataset]. https://www.instrumentl.com/990-report/federal-employment-law-training-group
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    Dataset updated
    Feb 27, 2023
    Variables measured
    Total Assets
    Description

    Financial overview and grant giving statistics of Federal Employment Law Training Group

  8. U

    United States US: Industrial Employment

    • ceicdata.com
    Updated Feb 9, 2022
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    CEICdata.com (2022). United States US: Industrial Employment [Dataset]. https://www.ceicdata.com/en/united-states/population-labour-force-and-employment-oecd-member-annual
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    Dataset updated
    Feb 9, 2022
    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, 2011 - Dec 1, 2022
    Area covered
    United States
    Description

    US: Industrial Employment data was reported at 110,861.107 Person th in 2022. This records an increase from the previous number of 106,862.000 Person th for 2021. US: Industrial Employment data is updated yearly, averaging 98,772.500 Person th from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 110,861.107 Person th in 2022 and a record low of 73,562.045 Person th in 1982. US: Industrial Employment data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Population, Labour Force and Employment: OECD Member: Annual.

    For the UnitedStates, in the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008.
    From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.
    Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly.
    Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category 'wholesale trade' and consequently the BERD for total services. U.S. R&D data are generally comparable, but there are some areas of underestimation:i) Up to 2008, Government sector R&D performance covers only federal government activities.
    That by State and local government establishments is excluded;
    ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures.
    For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.The methodology for estimating researchers was changed as of 1985.
    In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities.
    As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector.
    The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000.
    2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure - 'R&D plant' in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

  9. T

    Average Weekly Wages for Employees in Total Covered Establishments in Grants...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 2, 2021
    + more versions
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    TRADING ECONOMICS (2021). Average Weekly Wages for Employees in Total Covered Establishments in Grants Pass, OR (MSA) [Dataset]. https://tradingeconomics.com/united-states/average-weekly-wages-for-employees-in-total-covered-establishments-in-grants-pass-or-msa-fed-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Mar 2, 2021
    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 1, 1976 - Dec 31, 2025
    Area covered
    Grants Pass
    Description

    Average Weekly Wages for Employees in Total Covered Establishments in Grants Pass, OR (MSA) was 954.00000 $ per Week in July of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Total Covered Establishments in Grants Pass, OR (MSA) reached a record high of 954.00000 in July of 2024 and a record low of 602.00000 in January of 2013. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Total Covered Establishments in Grants Pass, OR (MSA) - last updated from the United States Federal Reserve on July of 2025.

  10. i

    Grant Giving Statistics for Federal Employees Activities Association Inc

    • instrumentl.com
    Updated Mar 6, 2022
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    (2022). Grant Giving Statistics for Federal Employees Activities Association Inc [Dataset]. https://www.instrumentl.com/990-report/federal-employees-activities-association-inc
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    Dataset updated
    Mar 6, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Federal Employees Activities Association Inc

  11. Monthly inflation rate and Federal Reserve interest rate in the U.S....

    • statista.com
    Updated Aug 4, 2025
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    Statista (2025). Monthly inflation rate and Federal Reserve interest rate in the U.S. 2018-2025 [Dataset]. https://www.statista.com/statistics/1312060/us-inflation-rate-federal-reserve-interest-rate-monthly/
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    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The inflation rate in the United States declined significantly between June 2022 and June 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

  12. T

    Average Weekly Earnings of All Employees: Total Private in Grants Pass, OR...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 2, 2021
    + more versions
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    TRADING ECONOMICS (2021). Average Weekly Earnings of All Employees: Total Private in Grants Pass, OR (MSA) [Dataset]. https://tradingeconomics.com/united-states/average-weekly-earnings-of-all-employees-total-private-in-grants-pass-or-msa-dollar-per-week-fed-data.html
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Mar 2, 2021
    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 1, 1976 - Dec 31, 2025
    Area covered
    Grants Pass, Oregon
    Description

    Average Weekly Earnings of All Employees: Total Private in Grants Pass, OR (MSA) was 868.39000 $ per Week in January of 2024, according to the United States Federal Reserve. Historically, Average Weekly Earnings of All Employees: Total Private in Grants Pass, OR (MSA) reached a record high of 868.39000 in January of 2024 and a record low of 624.60000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of All Employees: Total Private in Grants Pass, OR (MSA) - last updated from the United States Federal Reserve on July of 2025.

  13. United States US: Labour Fource

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Labour Fource [Dataset]. https://www.ceicdata.com/en/united-states/population-labour-force-and-employment-oecd-member-annual/us-labour-fource
    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, 2011 - Dec 1, 2022
    Area covered
    United States
    Description

    United States US: Labour Fource data was reported at 165,744.003 Person th in 2022. This records an increase from the previous number of 162,638.187 Person th for 2021. United States US: Labour Fource data is updated yearly, averaging 145,758.245 Person th from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 165,744.003 Person th in 2022 and a record low of 110,812.167 Person th in 1981. United States US: Labour Fource data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Population, Labour Force and Employment: OECD Member: Annual.

    For the UnitedStates, in the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008.
    From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.
    Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly.
    Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category 'wholesale trade' and consequently the BERD for total services. U.S. R&D data are generally comparable, but there are some areas of underestimation:i) Up to 2008, Government sector R&D performance covers only federal government activities.
    That by State and local government establishments is excluded;
    ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures.
    For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.The methodology for estimating researchers was changed as of 1985.
    In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities.
    As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector.
    The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000.
    2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure - 'R&D plant' in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

  14. i

    Grant Giving Statistics for National Active And Retired Federal Employees

    • instrumentl.com
    Updated Sep 12, 2024
    + more versions
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    (2024). Grant Giving Statistics for National Active And Retired Federal Employees [Dataset]. https://www.instrumentl.com/990-report/national-active-and-retired-federal-employees-8f8ef2a9-55de-4573-9962-9b4d3d8cced2
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    Dataset updated
    Sep 12, 2024
    Description

    Financial overview and grant giving statistics of National Active And Retired Federal Employees

  15. U.S. state government employee total payroll costs 2023, by job function

    • statista.com
    Updated Mar 27, 2025
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    Statista (2025). U.S. state government employee total payroll costs 2023, by job function [Dataset]. https://www.statista.com/statistics/204500/earnings-of-governmental-employees-in-the-us/
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    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2023
    Area covered
    United States
    Description

    The total payroll costs for state government employees who worked in higher education in the United States amounted to around 12.43 billion U.S. dollars in 2023. For state government employees who worked in hospitals, the total payroll costs amounted to 3.05 billion U.S. dollars.

  16. N

    Grants, NM annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Grants, NM annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/grants-nm-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    New Mexico, Grants
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Grants. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Grants, the median income for all workers aged 15 years and older, regardless of work hours, was $33,061 for males and $24,485 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in Grants. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Grants.

    - Full-time workers, aged 15 years and older: In Grants, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,449, while females earned $43,438, leading to a 30% gender pay gap among full-time workers. This illustrates that women earn 70 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Grants, showcasing a consistent income pattern irrespective of employment status.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Grants median household income by race. You can refer the same here

  17. Local Employment Dynamics (LED) for ESG Areas

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +1more
    Updated Jul 31, 2023
    + more versions
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    Department of Housing and Urban Development (2023). Local Employment Dynamics (LED) for ESG Areas [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/13f2dd85f2574e2abfd74d0c976cf031
    Explore at:
    Dataset updated
    Jul 31, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    The Local Employment Dynamics (LED) Partnership is a voluntary federal-state enterprise created for the purpose of merging employee, and employer data to provide a set of enhanced labor market statistics known collectively as Quarterly Workforce Indicators (QWI). The QWI are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows. For the purposes of this dataset, LED data for 2018 is aggregated to Census Summary Level 070 (State + County + County Subdivision + Place/Remainder), and joined with the Emergency Solutions Grantee (ESG) areas spatial dataset for FY2018. The Emergency Solutions Grants (ESG), formally the Emergency Shelter Grants, program is designed to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and provide the services necessary to help those persons quickly regain stability in permanent housing after experiencing a housing crisis and/or homelessness. The ESG is a non-competitive formula grant awarded to recipients which are state governments, large cities, urban counties, and U.S. territories. Recipients make these funds available to eligible sub-recipients, which can be either local government agencies or private nonprofit organizations. The recipient agencies and organizations, which actually run the homeless assistance projects, apply for ESG funds to the governmental grantee, and not directly to HUD. Please note that this version of the data does not include Community Planning and Development (CPD) entitlement grantees. LED data for CPD entitlement areas can be obtained from the LED for CDBG Grantee Areas feature service. To learn more about the Local Employment Dynamics (LED) Partnership visit: https://lehd.ces.census.gov/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_LED for ESG Grantee Areas

    Date of Coverage: ESG-2021/LED-2018

  18. T

    All Employees: Total Private in Grants Pass, OR (MSA)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    + more versions
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    TRADING ECONOMICS (2020). All Employees: Total Private in Grants Pass, OR (MSA) [Dataset]. https://tradingeconomics.com/united-states/all-employees-total-private-in-grants-pass-or-msa-thous-of-persons-fed-data.html
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 9, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    Grants Pass, Oregon
    Description

    All Employees: Total Private in Grants Pass, OR (MSA) was 23.60000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, All Employees: Total Private in Grants Pass, OR (MSA) reached a record high of 24.30000 in January of 2019 and a record low of 14.70000 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Total Private in Grants Pass, OR (MSA) - last updated from the United States Federal Reserve on July of 2025.

  19. T

    All Employees: Total Nonfarm in Grants Pass, OR (MSA)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    + more versions
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    TRADING ECONOMICS (2020). All Employees: Total Nonfarm in Grants Pass, OR (MSA) [Dataset]. https://tradingeconomics.com/united-states/all-employees-total-nonfarm-in-grants-pass-or-msa-thous-of-persons-fed-data.html
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 9, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    Grants Pass, Oregon
    Description

    All Employees: Total Nonfarm in Grants Pass, OR (MSA) was 27.10000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, All Employees: Total Nonfarm in Grants Pass, OR (MSA) reached a record high of 27.70000 in January of 2019 and a record low of 18.30000 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Total Nonfarm in Grants Pass, OR (MSA) - last updated from the United States Federal Reserve on July of 2025.

  20. F

    All Employees: Total Private in Grants Pass, OR (MSA)

    • fred.stlouisfed.org
    json
    Updated Jul 19, 2025
    + more versions
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    (2025). All Employees: Total Private in Grants Pass, OR (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU41244200500000001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 19, 2025
    License

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

    Area covered
    Grants Pass
    Description

    Graph and download economic data for All Employees: Total Private in Grants Pass, OR (MSA) (SMU41244200500000001SA) from Jan 1990 to Jun 2025 about Grants Pass, OR, payrolls, private industries, private, employment, industry, and USA.

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(2025). All Employees: Total Nonfarm in Grants Pass, OR (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMS41244200000000026

All Employees: Total Nonfarm in Grants Pass, OR (MSA)

SMS41244200000000026

Explore at:
jsonAvailable download formats
Dataset updated
Jul 28, 2025
License

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

Area covered
Grants Pass
Description

Graph and download economic data for All Employees: Total Nonfarm in Grants Pass, OR (MSA) (SMS41244200000000026) from Apr 1990 to Jun 2025 about Grants Pass, nonfarm, employment, and USA.

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