32 datasets found
  1. T

    United States Non Farm Payrolls

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrolls
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 3, 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, 1939 - Jul 31, 2025
    Area covered
    United States
    Description

    Non Farm Payrolls in the United States increased by 73 thousand in July of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. U.S. seasonally adjusted unemployment rate 2023-2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 11, 2025
    + more versions
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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/
    Explore at:
    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

    The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In February 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. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

  3. F

    All Employees: Leisure and Hospitality: Food Services and Drinking Places in...

    • fred.stlouisfed.org
    json
    Updated Jul 19, 2025
    + more versions
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    (2025). All Employees: Leisure and Hospitality: Food Services and Drinking Places in New York City, NY [Dataset]. https://fred.stlouisfed.org/series/SMU36935617072200001SA
    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
    New York
    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Food Services and Drinking Places in New York City, NY (SMU36935617072200001SA) from Jan 1990 to Jun 2025 about beverages, New York, NY, food, services, employment, and USA.

  4. w

    Economic Estimates: Digital Sector Monthly GVA (January 2019 to June 2024)

    • gov.uk
    Updated Dec 17, 2024
    + more versions
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    Department for Science, Innovation and Technology (2024). Economic Estimates: Digital Sector Monthly GVA (January 2019 to June 2024) [Dataset]. https://www.gov.uk/government/statistics/economic-estimates-digital-sector-monthly-gva-january-2019-to-june-2024
    Explore at:
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    GOV.UK
    Authors
    Department for Science, Innovation and Technology
    Description

    Headline findings

    All estimates in this release are presented in 2022 prices and in chained volume measures. Estimates are provisional and subject to planned revisions. The index of estimated monthly GVA shows the growth or decline of the Digital Sector and its subsectors relative to January 2019.

    This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.

    Estimates of monthly GVA (£ million) are used to determine percentage changes over the relevant time periods mentioned here.

    • Estimated monthly GVA for the Digital Sector increased by 1.1% between March 2024 and June 2024, while the GVA of the UK is estimated to have increased by 0.4% over the same period.
    • Based on these estimates, the Digital Sector accounted for 7.2% of total UK GVA in June 2024, down from 7.4% in June 2023.
    • In our Economic Estimates: Digital Sector Monthly GVA (to March 2024) release we reported a 0.2% increase in Digital Sector GVA from December 2023 to March 2024. As part of planned revisions to the underlying data in this release, this change in Digital Sector GVA has been revised down to a 0.2% decrease from December 2023 to March 2024.
    • These same revised figures estimate that monthly Digital Sector GVA decreased by 1.8% in the 12 months between March 2023 and March 2024 whilst, over the same period, the estimate for the total UK GVA increased by 0.9%.

    DSIT have recently concluded a consultation on the planned future of the Digital Sector Economic Estimates series - the DSIT response to this consultation can be accessed using this link.

    Released

    26 September 2024

    About this release

    This is a continuation of the Digital Economic Estimates: Monthly GVA series, previously produced by Department for Culture, Media and Sport (DCMS). Responsibility for Digital Sector policy now sits with the Department for Science, Innovation and Technology (DSIT).

    Monthly estimates

    These estimates are Official Statistics, used to provide an estimate of the economic contribution of the Digital Sector, in terms of Gross Value Added (GVA), for the period January 2019 to June 2024. This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.

    Estimates are presented in chained volume measures (i.e. have been adjusted for inflation), at 2022 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.

    You can use these estimates to:

    • Look at relative indicative changes in GVA over time for the Digital Sector and subsectors

    You should not use these estimates to:

    • Quantify GVA for a specific month
    • Measure absolute change in GVA over time
    • Determine findings for sectors that are defined using more detailed industrial classes (due to the data sources only being available at broader industry levels)

    Data sources and technical information

    These findings are calculated based on published Office for National Statistics (ONS) data sources including the Index of Services and Index of Production.

    These data sources are available for industrial ‘divisions’, whereas the Digital Sector is defined using more detailed industrial ‘classes’. This represents a significant limitation to this statistical series; the implications of which are discussed furt

  5. Global Construction Outlook to 2024 (including Covid-19 Impact Analysis)

    • store.globaldata.com
    Updated Mar 30, 2020
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    GlobalData UK Ltd. (2020). Global Construction Outlook to 2024 (including Covid-19 Impact Analysis) [Dataset]. https://store.globaldata.com/report/global-construction-outlook-to-2024-covid-19-impact/
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    Dataset updated
    Mar 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Prior to the outbreak of the coronavirus (COVID-19), GlobalData had predicted that there would be an acceleration in the pace of growth in the global construction industry, to 3.1% from 2.6% in 2019. However, given the severe disruption in China and other leading economies worldwide following the outbreak, the forecast for growth in 2020 has now been revised down to 0.5%. The current forecast assumes that the outbreak is contained across all major markets by the end of the second quarter, following which, conditions would allow for a return to normalcy in terms of economic activity and freedom of movement in the second half of the year. However, there will be a lingering and potentially heavy impact on private investment owing to the financial toll that inflicted upon businesses and investors across a wide range of sectors. Read More

  6. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 3, 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 - Jul 31, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June 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.

  7. w

    DCMS Economic Estimates 2019: Gross Value Added

    • gov.uk
    • s3.amazonaws.com
    Updated Sep 3, 2024
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    Department for Digital, Culture, Media & Sport (2024). DCMS Economic Estimates 2019: Gross Value Added [Dataset]. https://www.gov.uk/government/statistics/dcms-economic-estimates-2019-gross-value-added
    Explore at:
    Dataset updated
    Sep 3, 2024
    Dataset provided by
    GOV.UK
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Notice of revision, 19 February 2021

    Some of the figures in this release were revised on 19 February 2021. The measure affected, GVA for ‘All DCMS sectors (including Tourism)’, has been revised down by 1% for all years from 2016 to 2019. The change does not affect GVA totals for individual sectors or subsectors, nor the key trends or conclusions.

    The figures were corrected to account for the overlap between part of the tourism sector (‘Other consumption products’) and other DCMS industries. We have not revised historic releases as GVA figures are updated in each publication due to planned annual revisions to the National Accounts.

    About

    These Economic Estimates are Official Statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy, measured by GVA (gross value added).

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Civil Society
    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms
    • Tourism

    The release also includes estimates for the Audio Visual sector, Computer Games subsector and Sport Satellite Account. The Sport Satellite Account estimates of GVA included in this publication for 2016 onwards are based on a revised SSA for 2016. The previous provisional SSA for 2016 was based on the 2014 satellite account and the GVA estimates from that publication are superseded by these.

    A definition for each sector is available in the tables published alongside this release. Further information on DCMS sectors is available in the associated technical report along with details of methods and data limitations.

    Released

    First published on 10 December 2020. Revisions were published on 19 February 2021.

    Feedback and consultation

    DCMS aims to continuously improve the quality of estimates and better meet user needs. Feedback and responses should be sent to DCMS via email at evidence@dcms.gov.uk.

    The UK Statistics Authority

    This release is published in accordance with the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    The responsible statisticians for this release is Emma Scholey. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.

    Pre-release access

    A document is provided that contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

  8. F

    Producer Price Index by Industry: New Car Dealers

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
    + more versions
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    (2025). Producer Price Index by Industry: New Car Dealers [Dataset]. https://fred.stlouisfed.org/series/PCU441110441110
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: New Car Dealers (PCU441110441110) from Dec 1999 to Jun 2025 about dealers, vehicles, new, PPI, industry, inflation, price index, indexes, price, and USA.

  9. T

    United States GDP Growth Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 30, 2025
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    TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 30, 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
    Jun 30, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 3 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. T

    United States Wholesale Inventories

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 9, 2025
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    TRADING ECONOMICS (2025). United States Wholesale Inventories [Dataset]. https://tradingeconomics.com/united-states/wholesale-inventories
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 9, 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 29, 1992 - Jun 30, 2025
    Area covered
    United States
    Description

    Wholesale Inventories in the United States increased 0.20 percent in June of 2025 over the previous month. This dataset provides - United States Wholesale Inventories - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. Coronavirus Job Retention Scheme statistics: December 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 29, 2021
    + more versions
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    HM Revenue & Customs (2021). Coronavirus Job Retention Scheme statistics: December 2020 [Dataset]. https://www.gov.uk/government/statistics/coronavirus-job-retention-scheme-statistics-december-2020
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    Dataset updated
    Jul 29, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    This is an Experimental Official Statistics publication produced by HM Revenue and Customs (HMRC) using HMRC’s Coronavirus Job Retention Scheme claims data.

    The figures for the number of employments eligible for the Coronavirus Job Retention Scheme in this release have been revised down slightly for March 2020 to 31 October 2020.

    This reflects a refinement to the methodology for the number of employments eligible for the scheme and results in a small increase in our estimates of employer and employment take-up rates. The overall figures for the number of jobs on furlough are not affected.

    This publication covers all Coronavirus Job Retention Scheme claims submitted by employers from the start of the scheme up to 31 October 2020. It includes statistics on the claims themselves and the jobs supported.

    Data from HMRC’s Real Time Information (RTI) system has been matched with Coronavirus Job Retention Scheme data to produce analysis of claims by:

    • daily number of employments on furlough
    • employer size
    • sector of the economy
    • geography
    • age and gender
    • use of flexible furlough

    For more information on Experimental Statistics and governance of statistics produced by public bodies please see the https://uksa.statisticsauthority.gov.uk/about-the-authority/uk-statistical-system/types-of-official-statistics" class="govuk-link">UK Statistics Authority website.

  12. U.S. unemployment rate in New Hampshire 1992-2023

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. unemployment rate in New Hampshire 1992-2023 [Dataset]. https://www.statista.com/statistics/190683/unemployment-rate-in-new-hampshire-since-1992/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the unemployment rate in New Hampshire was at 2.2 percent. This is a slight decrease from the year prior, when the unemployment rate stood at 2.3 percent, and is down from a high of 7.3 percent in 1992.

  13. 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/
    Explore at:
    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.

  14. Test datasets and model weights for the revised submission `Top-down...

    • zenodo.org
    application/gzip
    Updated Feb 3, 2025
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    Ferenc Csikor; Ferenc Csikor (2025). Test datasets and model weights for the revised submission `Top-down perceptual inference shaping the activity of early visual cortex' [Dataset]. http://doi.org/10.5281/zenodo.14793233
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ferenc Csikor; Ferenc Csikor
    License

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

    Description

    So far, all details are described in the submitted `Supplementary software' package.

    Upon publication, a full description will be published here, too.

  15. CBS News/New York Times Monthly Poll, February 1994

    • icpsr.umich.edu
    ascii, spss
    Updated Aug 4, 2000
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    Inter-university Consortium for Political and Social Research [distributor] (2000). CBS News/New York Times Monthly Poll, February 1994 [Dataset]. http://doi.org/10.3886/ICPSR06593.v2
    Explore at:
    ascii, spssAvailable download formats
    Dataset updated
    Aug 4, 2000
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6593/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6593/terms

    Time period covered
    Feb 1994
    Area covered
    United States
    Description

    This poll is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Topics included President Bill Clinton's handling of issues such as foreign policy, the economy, crime, the Whitewater deal, unemployment, and gun control. Respondents were asked to rate the condition of the national economy and were queried as to whether they thought the unemployment rate was going up, down, or had stayed the same in the previous few months. Questions on the situation in the former Yugoslavia included whether the United States had a responsibility to do something about the fighting between the Serbs and the Bosnians. Focusing on health care reform, respondents were asked if they thought Congress would pass a health care plan before the end of the year, whether the health care reform plan Clinton proposed was fair to people like them, and, if the Clinton health care reform plan was adopted, whether they thought the quality of the health care they and their family received would improve. Background information on respondents includes voter registration status, household composition, vote choice in the 1992 presidential election, political party, political orientation, education, age, sex, race, religious preference, and family income.

  16. Construction in China - Forecast Update

    • store.globaldata.com
    Updated Feb 28, 2020
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    GlobalData UK Ltd. (2020). Construction in China - Forecast Update [Dataset]. https://store.globaldata.com/report/construction-in-china-forecast-update/
    Explore at:
    Dataset updated
    Feb 28, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    China, Asia
    Description

    Prior to the outbreak of the coronavirus, COVID-19, in Wuhan, Hubei province, GlobalData had been predicting a steady slowdown in the pace of growth in construction in China, owing to the expected continuation of government efforts by to shift the economy away from one dependent on investment. However, the drastic measures taken since January to contain the spread of the virus have brought economic activity to a halt across much of the country, and as a result GlobalData has revised down its construction output growth forecast for 2020 Read More

  17. India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance:...

    • ceicdata.com
    Updated Aug 10, 2021
    + more versions
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    CEICdata.com (2021). India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance: Disbursements [Dataset]. https://www.ceicdata.com/en/india/union-budget-receipts-capital-revised-estimates/union-budget-re-receipts-capital-debt-draw-down-of-cash-balance-disbursements
    Explore at:
    Dataset updated
    Aug 10, 2021
    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, 2011 - Mar 1, 2025
    Area covered
    India
    Variables measured
    Operating Statement
    Description

    India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance: Disbursements data was reported at -352,935.700 INR mn in 2025. This records a decrease from the previous number of -306,772.800 INR mn for 2024. India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance: Disbursements data is updated yearly, averaging -150,584.050 INR mn from Mar 2011 (Median) to 2025, with 12 observations. The data reached an all-time high of 1,692,405.100 INR mn in 2022 and a record low of -352,935.700 INR mn in 2025. India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance: Disbursements data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FB015: Union Budget: Receipts: Capital: Revised Estimates.

  18. India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance

    • ceicdata.com
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    CEICdata.com, India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance [Dataset]. https://www.ceicdata.com/en/india/union-budget-receipts-capital-revised-estimates/union-budget-re-receipts-capital-debt-draw-down-of-cash-balance
    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
    Mar 1, 2013 - Mar 1, 2025
    Area covered
    India
    Variables measured
    Operating Statement
    Description

    India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance data was reported at 1,401,151.500 INR mn in 2025. This records an increase from the previous number of -266,512.600 INR mn for 2024. India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance data is updated yearly, averaging -100,751.250 INR mn from Mar 2011 (Median) to 2025, with 14 observations. The data reached an all-time high of 1,741,871.500 INR mn in 2022 and a record low of -393,790.000 INR mn in 2018. India Union Budget: RE: Receipts: Capital: Debt: Draw Down of Cash Balance data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FB015: Union Budget: Receipts: Capital: Revised Estimates.

  19. T

    Nigeria Total New Jobs

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 4, 2017
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    TRADING ECONOMICS (2017). Nigeria Total New Jobs [Dataset]. https://tradingeconomics.com/nigeria/employment-change
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jan 4, 2017
    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
    Sep 30, 2012 - Sep 30, 2016
    Area covered
    Nigeria
    Description

    The Nigerian economy added 187,226 new jobs in the third quarter of 2016 after adding 475,180 a year earlier. The informal sector created 144,651 jobs, down 66.3 percent from last year but still accounting for 77.3 percent share. The public sector lost 7,012 jobs. The formal sector added 49,587 jobs, 19 percent more than a year earlier and representing 26.5 percent of total new jobs. Around 90 percent on new payrolls were created in human, health and social services sectors and agriculture and accommodation and food services. In the three months to June, the economy added 155,444 new jobs. This dataset provides - Nigeria Employment Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. g

    Flex jobs: Number and proportion of people under a new flexi-job scheme who...

    • gimi9.com
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    Flex jobs: Number and proportion of people under a new flexi-job scheme who have gone up or down in working hours | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_star_y08a20
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    Description

    Number and proportion of people under a new flexi-job scheme who have gone up or down in working hours

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TRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrolls

United States Non Farm Payrolls

United States Non Farm Payrolls - Historical Dataset (1939-02-28/2025-07-31)

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5 scholarly articles cite this dataset (View in Google Scholar)
csv, xml, json, excelAvailable download formats
Dataset updated
Jul 3, 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, 1939 - Jul 31, 2025
Area covered
United States
Description

Non Farm Payrolls in the United States increased by 73 thousand in July of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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