16 datasets found
  1. U.S. monthly projected recession probability 2021-2026

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. monthly projected recession probability 2021-2026 [Dataset]. https://www.statista.com/statistics/1239080/us-monthly-projected-recession-probability/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2021 - Apr 2026
    Area covered
    United States
    Description

    By April 2026, it is projected that there is a probability of ***** percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

  2. F

    Dates of U.S. recessions as inferred by GDP-based recession indicator

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
    + more versions
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    (2025). Dates of U.S. recessions as inferred by GDP-based recession indicator [Dataset]. https://fred.stlouisfed.org/series/JHDUSRGDPBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

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

    Description

    Graph and download economic data for Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR) from Q4 1967 to Q1 2025 about recession indicators, GDP, and USA.

  3. a

    COVID-19 and the potential impacts on employment data tables

    • hub.arcgis.com
    • opendata-nzta.opendata.arcgis.com
    Updated Aug 26, 2020
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    Waka Kotahi (2020). COVID-19 and the potential impacts on employment data tables [Dataset]. https://hub.arcgis.com/datasets/9703b6055b7a404582884f33efc4cf69
    Explore at:
    Dataset updated
    Aug 26, 2020
    Dataset authored and provided by
    Waka Kotahi
    License

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

    Description

    This 6MB download is a zip file containing 5 pdf documents and 2 xlsx spreadsheets. Presentation on COVID-19 and the potential impacts on employment

    May 2020Waka Kotahi wants to better understand the potential implications of the COVID-19 downturn on the land transport system, particularly the potential impacts on regional economies and communities.

    To do this, in May 2020 Waka Kotahi commissioned Martin Jenkins and Infometrics to consider the potential impacts of COVID-19 on New Zealand’s economy and demographics, as these are two key drivers of transport demand. In addition to providing a scan of national and international COVID-19 trends, the research involved modelling the economic impacts of three of the Treasury’s COVID-19 scenarios, to a regional scale, to help us understand where the impacts might be greatest.

    Waka Kotahi studied this modelling by comparing the percentage difference in employment forecasts from the Treasury’s three COVID-19 scenarios compared to the business as usual scenario.

    The source tables from the modelling (Tables 1-40), and the percentage difference in employment forecasts (Tables 41-43), are available as spreadsheets.

    Arataki - potential impacts of COVID-19 Final Report

    Employment modelling - interactive dashboard

    The modelling produced employment forecasts for each region and district over three time periods – 2021, 2025 and 2031. In May 2020, the forecasts for 2021 carried greater certainty as they reflected the impacts of current events, such as border restrictions, reduction in international visitors and students etc. The 2025 and 2031 forecasts were less certain because of the potential for significant shifts in the socio-economic situation over the intervening years. While these later forecasts were useful in helping to understand the relative scale and duration of potential COVID-19 related impacts around the country, they needed to be treated with care recognising the higher levels of uncertainty.

    The May 2020 research suggested that the ‘slow recovery scenario’ (Treasury’s scenario 5) was the most likely due to continuing high levels of uncertainty regarding global efforts to manage the pandemic (and the duration and scale of the resulting economic downturn).

    The updates to Arataki V2 were framed around the ‘Slower Recovery Scenario’, as that scenario remained the most closely aligned with the unfolding impacts of COVID-19 in New Zealand and globally at that time.

    Find out more about Arataki, our 10-year plan for the land transport system

    May 2021The May 2021 update to employment modelling used to inform Arataki Version 2 is now available. Employment modelling dashboard - updated 2021Arataki used the May 2020 information to compare how various regions and industries might be impacted by COVID-19. Almost a year later, it is clear that New Zealand fared better than forecast in May 2020.Waka Kotahi therefore commissioned an update to the projections through a high-level review of:the original projections for 2020/21 against performancethe implications of the most recent global (eg International monetary fund world economic Outlook) and national economic forecasts (eg Treasury half year economic and fiscal update)The treasury updated its scenarios in its December half year fiscal and economic update (HYEFU) and these new scenarios have been used for the revised projections.Considerable uncertainty remains about the potential scale and duration of the COVID-19 downturn, for example with regards to the duration of border restrictions, update of immunisation programmes. The updated analysis provides us with additional information regarding which sectors and parts of the country are likely to be most impacted. We continue to monitor the situation and keep up to date with other cross-Government scenario development and COVID-19 related work. The updated modelling has produced employment forecasts for each region and district over three time periods - 2022, 2025, 2031.The 2022 forecasts carry greater certainty as they reflect the impacts of current events. The 2025 and 2031 forecasts are less certain because of the potential for significant shifts over that time.

    Data reuse caveats: as per license.

    Additionally, please read / use this data in conjunction with the Infometrics and Martin Jenkins reports, to understand the uncertainties and assumptions involved in modelling the potential impacts of COVID-19.

    COVID-19’s effect on industry and regional economic outcomes for NZ Transport Agency [PDF 620 KB]

    Data quality statement: while the modelling undertaken is high quality, it represents two point-in-time analyses undertaken during a period of considerable uncertainty. This uncertainty comes from several factors relating to the COVID-19 pandemic, including:

    a lack of clarity about the size of the global downturn and how quickly the international economy might recover differing views about the ability of the New Zealand economy to bounce back from the significant job losses that are occurring and how much of a structural change in the economy is required the possibility of a further wave of COVID-19 cases within New Zealand that might require a return to Alert Levels 3 or 4.

    While high levels of uncertainty remain around the scale of impacts from the pandemic, particularly in coming years, the modelling is useful in indicating the direction of travel and the relative scale of impacts in different parts of the country.

    Data quality caveats: as noted above, there is considerable uncertainty about the potential scale and duration of the COVID-19 downturn. Please treat the specific results of the modelling carefully, particularly in the forecasts to later years (2025, 2031), given the potential for significant shifts in New Zealand's socio-economic situation before then.

    As such, please use the modelling results as a guide to the potential scale of the impacts of the downturn in different locations, rather than as a precise assessment of impacts over the coming decade.

  4. S

    A global streamflow indices time series dataset

    • scidb.cn
    Updated Feb 16, 2023
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    Xinyu Chen; Liguang Jiang; Yuning Luo; Junguo Liu (2023). A global streamflow indices time series dataset [Dataset]. http://doi.org/10.57760/sciencedb.07264
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Science Data Bank
    Authors
    Xinyu Chen; Liguang Jiang; Yuning Luo; Junguo Liu
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This new time series dataset on global streamflow indices is calculated from daily streamflow records after data quality control and includes 79 indices over seven components of streamflow regime (i.e., magnitude, frequency, duration, changing rate, timing, variability, and recession) of 5548 river reaches globally. The indices time series in the dataset are available until 2021, the lengths of which vary from 30 to 215 years with an average of around 66 years. Restricted-access streamflow data of typical river basins in China are included in the dataset. Compared to existing global datasets, this global dataset covers more indices, especially indices characterizing the frequency, duration, changing rate, and recession of streamflow regime. With the dataset, research on streamflow regime will become easier without spending time handling raw streamflow records. This comprehensive dataset will be a valuable resource to the hydrology community to facilitate a wide range of studies, such as studies of hydrological behaviour of a catchment, streamflow regime prediction in data-scarce regions, as well as variations in streamflow regime from a global perspective.

  5. T

    Germany GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 30, 2025
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    TRADING ECONOMICS (2025). Germany GDP Growth Rate [Dataset]. https://tradingeconomics.com/germany/gdp-growth
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    csv, json, excel, 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, 1970 - Jun 30, 2025
    Area covered
    Germany
    Description

    The Gross Domestic Product (GDP) in Germany contracted 0.10 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - Germany GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. T

    China GDP Annual Growth Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). China GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth-annual
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1989 - Jun 30, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 5.20 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. f

    Real wage growth 2007–2021.

    • figshare.com
    xls
    Updated Nov 27, 2024
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    David G. Blanchflower; Alex Bryson (2024). Real wage growth 2007–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305347.t021
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    David G. Blanchflower; Alex Bryson
    License

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

    Description

    Using micro-data on six surveys–the Gallup World Poll 2005–2023, the U.S. Behavioral Risk Factor Surveillance System, 1993–2022, Eurobarometer 1991–2022, the UK Covid Social Survey Panel, 2020–2022, the European Social Survey 2002–2020 and the IPSOS Happiness Survey 2018–2023 –we show individuals’ reports of subjective wellbeing in Europe declined in the Great Recession of 2008/9 and during the Covid pandemic of 2020–2021 on most measures. They also declined in four countries bordering Ukraine after the Russian invasion in 2022. However, the movements are not large and are not apparent everywhere. We also used data from the European Commission’s Business and Consumer Surveys on people’s expectations of life in general, their financial situation and the economic and employment situation in the country. All of these dropped markedly in the Great Recession and during Covid, but bounced back quickly, as did firms’ expectations of the economy and the labor market. Neither the annual data from the United Nation’s Human Development Index (HDI) nor data used in the World Happiness Report from the Gallup World Poll shifted much in response to negative shocks. The HDI has been rising in the last decade reflecting overall improvements in economic and social wellbeing, captured in part by real earnings growth, although it fell slightly after 2020 as life expectancy dipped. This secular improvement is mirrored in life satisfaction which has been rising in the last decade. However, so too have negative affect in Europe and despair in the United States.

  8. T

    Australia GDP Growth Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 5, 2025
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    TRADING ECONOMICS (2025). Australia GDP Growth Rate [Dataset]. https://tradingeconomics.com/australia/gdp-growth
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 5, 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
    Dec 31, 1959 - Mar 31, 2025
    Area covered
    Australia
    Description

    The Gross Domestic Product (GDP) in Australia expanded 0.20 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Australia GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. f

    HDI regressions, 1990–2021.

    • plos.figshare.com
    xls
    Updated Nov 27, 2024
    + more versions
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    David G. Blanchflower; Alex Bryson (2024). HDI regressions, 1990–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305347.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    David G. Blanchflower; Alex Bryson
    License

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

    Description

    Using micro-data on six surveys–the Gallup World Poll 2005–2023, the U.S. Behavioral Risk Factor Surveillance System, 1993–2022, Eurobarometer 1991–2022, the UK Covid Social Survey Panel, 2020–2022, the European Social Survey 2002–2020 and the IPSOS Happiness Survey 2018–2023 –we show individuals’ reports of subjective wellbeing in Europe declined in the Great Recession of 2008/9 and during the Covid pandemic of 2020–2021 on most measures. They also declined in four countries bordering Ukraine after the Russian invasion in 2022. However, the movements are not large and are not apparent everywhere. We also used data from the European Commission’s Business and Consumer Surveys on people’s expectations of life in general, their financial situation and the economic and employment situation in the country. All of these dropped markedly in the Great Recession and during Covid, but bounced back quickly, as did firms’ expectations of the economy and the labor market. Neither the annual data from the United Nation’s Human Development Index (HDI) nor data used in the World Happiness Report from the Gallup World Poll shifted much in response to negative shocks. The HDI has been rising in the last decade reflecting overall improvements in economic and social wellbeing, captured in part by real earnings growth, although it fell slightly after 2020 as life expectancy dipped. This secular improvement is mirrored in life satisfaction which has been rising in the last decade. However, so too have negative affect in Europe and despair in the United States.

  10. GDP loss due to COVID-19, by economy 2020

    • statista.com
    • ai-chatbox.pro
    Updated Sep 19, 2023
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    Jose Sanchez (2023). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

  11. d

    IBO Federal Stimulus Budget and Spending Tracker (ARPA and CRRSAA)

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Oct 13, 2023
    + more versions
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    data.cityofnewyork.us (2023). IBO Federal Stimulus Budget and Spending Tracker (ARPA and CRRSAA) [Dataset]. https://catalog.data.gov/dataset/ibo-federal-stimulus-budget-and-spending-tracker-arpa-and-crrsaa
    Explore at:
    Dataset updated
    Oct 13, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    This dataset contains budget and spending data for City Initiatives that use American Rescue Plan Act of 2021 (ARPA) or Coronavirus Response and Relief Supplemental Appropriations Act of 2021 (CRRSAA) federal funds. Each row is a different "Initiative Detailed", which is IBO's understanding of the purpose of the funding. IBO developed seven categories of initiative to standardize the comparison of budgeted and spent amounts across agencies: "Initiative Category". The IBO definitions of these categories are below, in order of prioritization (e.g. if a budget code fits the definition of 2. COVID Response – Public Programs and 4. Programmatic Support, it is listed under 2). If readers require more detailed information on spending, the underlying data with the previous initiative names is available for download. Covid Response – City Operations: Spending to keep city agencies operating during the Covid pandemic, such as city employee leave for quarantining and vaccinations, air purifiers, personal protective equipment (PPE) for city employees, etc. Covid Response – Public Programs: Programs created to protect people in New York City from Covid-19. Direct Human Services: Public services provided to meet the financial, physical, or mental needs of New York City residents. This includes ongoing services for housing, food, addiction treatment, childcare, education, anti-poverty, etc. These services are either provided by the government or a nonprofit. Programmatic Support: Funds used on temporary governmental programs. Note: this includes youth training and summer work programs because they are optional and extra-curricular, while public education and adult job training programs are direct human services. Government Operations: Federal funding supplemented lost revenue during the pandemic-related recession. These funds are for Other than Personal Spending, those administrative costs or public services provided in perpetuity (as opposed to services defined as Programmatic Support). Personnel/Staffing: Federal funding supplemented lost revenue during the pandemic-related recession. These funds are for salaries and wages paid to city employees, often called “Personal Services.” Salaries and wages related to Covid response, temporary programs, and direct human services are excluded from this category. Hiring & Attrition Management: Administrative costs related to managing the inflow and outflow of city employees.

  12. T

    India GDP Annual Growth Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). India GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/india/gdp-growth-annual
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 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
    Dec 31, 1951 - Mar 31, 2025
    Area covered
    India
    Description

    The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. T

    United Kingdom GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 14, 2025
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    TRADING ECONOMICS (2025). United Kingdom GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-kingdom/gdp-growth
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 1955 - Jun 30, 2025
    Area covered
    United Kingdom
    Description

    The Gross Domestic Product (GDP) in the United Kingdom expanded 0.30 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United Kingdom GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. T

    Canada GDP Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). Canada GDP Growth Rate [Dataset]. https://tradingeconomics.com/canada/gdp-growth
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 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, 1961 - Mar 31, 2025
    Area covered
    Canada
    Description

    The Gross Domestic Product (GDP) in Canada expanded 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Canada GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. T

    Japan Gross National Income

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Gross National Income [Dataset]. https://tradingeconomics.com/japan/gross-national-product
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 1980 - Jun 30, 2025
    Area covered
    Japan
    Description

    Gross National Product in Japan increased to 592718 JPY Billion in the second quarter of 2025 from 591122.40 JPY Billion in the first quarter of 2025. This dataset provides - Japan Gross National Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. T

    Sri Lanka GDP Annual Growth Rate

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 16, 2025
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    TRADING ECONOMICS (2025). Sri Lanka GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/sri-lanka/gdp-growth-annual
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Sep 30, 2003 - Mar 31, 2025
    Area covered
    Sri Lanka
    Description

    The Gross Domestic Product (GDP) in Sri Lanka expanded 4.80 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Sri Lanka GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). U.S. monthly projected recession probability 2021-2026 [Dataset]. https://www.statista.com/statistics/1239080/us-monthly-projected-recession-probability/
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U.S. monthly projected recession probability 2021-2026

Explore at:
Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2021 - Apr 2026
Area covered
United States
Description

By April 2026, it is projected that there is a probability of ***** percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

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