54 datasets found
  1. F

    Real-time Sahm Rule Recession Indicator

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). Real-time Sahm Rule Recession Indicator [Dataset]. https://fred.stlouisfed.org/series/SAHMREALTIME
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Aug 2025 about recession indicators, academic data, and USA.

  2. y

    US Recession Probability

    • ycharts.com
    html
    Updated Oct 1, 2025
    + more versions
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    Marcelle Chauvet and Jeremy Piger (2025). US Recession Probability [Dataset]. https://ycharts.com/indicators/us_recession_probability_chauvet
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    htmlAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    YCharts
    Authors
    Marcelle Chauvet and Jeremy Piger
    License

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

    Time period covered
    Jun 30, 1967 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Recession Probability
    Description

    View monthly updates and historical trends for US Recession Probability. from United States. Source: Marcelle Chauvet and Jeremy Piger. Track economic dat…

  3. 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
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    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.

  4. F

    NBER based Recession Indicators for the United States from the Period...

    • fred.stlouisfed.org
    json
    Updated Oct 21, 2025
    + more versions
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    (2025). NBER based Recession Indicators for the United States from the Period following the Peak through the Trough [Dataset]. https://fred.stlouisfed.org/series/USRECD
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    jsonAvailable download formats
    Dataset updated
    Oct 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for NBER based Recession Indicators for the United States from the Period following the Peak through the Trough (USRECD) from 1854-12-01 to 2025-10-20 about peak, trough, recession indicators, and USA.

  5. F

    Sahm Rule Recession Indicator

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). Sahm Rule Recession Indicator [Dataset]. https://fred.stlouisfed.org/series/SAHMCURRENT
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Sahm Rule Recession Indicator (SAHMCURRENT) from Mar 1949 to Aug 2025 about recession indicators, academic data, and USA.

  6. y

    Sahm Rule Recession Indicator

    • ycharts.com
    html
    Updated Sep 5, 2025
    + more versions
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    Federal Reserve Bank of St. Louis (2025). Sahm Rule Recession Indicator [Dataset]. https://ycharts.com/indicators/sahm_rule_recession_indicator
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Reserve Bank of St. Louis
    License

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

    Time period covered
    Mar 31, 1949 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    Sahm Rule Recession Indicator
    Description

    View monthly updates and historical trends for Sahm Rule Recession Indicator. from United States. Source: Federal Reserve Bank of St. Louis. Track economi…

  7. d

    Recession

    • search.dataone.org
    • api.g-e-m.dk
    • +1more
    Updated Aug 13, 2025
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    Greenland Ecosystem Monitoring (2025). Recession [Dataset]. http://doi.org/10.17897/TWAB-P761
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    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Greenland Ecosystem Monitoring
    Area covered
    Description

    Coastal cliff recession has been monitored along four markers on the Southern coast towards Young Sound since 1996. Until 2011 the perpendicular distance between the four markers and the edge of the coastal cliff was measured every year. Thereafter the sampling frequency has been reduced to every fifth year. The survey is always conducted in late August.

  8. Yield Curve and Predicted GDP Growth

    • clevelandfed.org
    csv
    Updated Mar 1, 2002
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    Federal Reserve Bank of Cleveland (2002). Yield Curve and Predicted GDP Growth [Dataset]. https://www.clevelandfed.org/indicators-and-data/yield-curve-and-predicted-gdp-growth
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    csvAvailable download formats
    Dataset updated
    Mar 1, 2002
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

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

    Description

    We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

  9. C

    Canada GDP Counterfactual Tracker: % Change from Pre-Crisis Trend: High

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Canada GDP Counterfactual Tracker: % Change from Pre-Crisis Trend: High [Dataset]. https://www.ceicdata.com/en/canada/gdp-growth-tracker-weekly/gdp-counterfactual-tracker--change-from-precrisis-trend-high
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Nov 14, 2021 - Jan 30, 2022
    Area covered
    Canada
    Description

    Canada GDP Counterfactual Tracker: % Change from Pre-Crisis Trend: High data was reported at -0.325 % in 30 Jan 2022. This records a decrease from the previous number of 1.404 % for 23 Jan 2022. Canada GDP Counterfactual Tracker: % Change from Pre-Crisis Trend: High data is updated weekly, averaging -2.325 % from May 2020 (Median) to 30 Jan 2022, with 91 observations. The data reached an all-time high of 1.404 % in 23 Jan 2022 and a record low of -9.373 % in 24 May 2020. Canada GDP Counterfactual Tracker: % Change from Pre-Crisis Trend: High 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 Canada – Table CA.OECD.WT: GDP Growth Tracker: Weekly.

  10. High-Conviction “No Recession” And Equity Rally Calls

    • bcaresearch.com
    Updated Sep 2022
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    BCA Research (2022). High-Conviction “No Recession” And Equity Rally Calls [Dataset]. https://www.bcaresearch.com/marketing/track-record
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    Dataset updated
    Sep 2022
    Dataset authored and provided by
    BCA Researchhttp://bcaresearch.com/
    License

    https://www.bcaresearch.com/general/disclaimer-2025https://www.bcaresearch.com/general/disclaimer-2025

    Description

    GIS and US Investment Strategy argued the US would avert recession and that stocks would rebound.

  11. f

    Data from: Understanding the recession of the Holderness Coast, east...

    • geolsoc.figshare.com
    rtf
    Updated May 30, 2023
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    J.D. Quinn; L.K. Philip; W. Murphy (2023). Understanding the recession of the Holderness Coast, east Yorkshire, UK: a new presentation of temporal and spatial patterns [Dataset]. http://doi.org/10.6084/m9.figshare.3454637.v1
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    rtfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Geological Society of London
    Authors
    J.D. Quinn; L.K. Philip; W. Murphy
    License

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

    Area covered
    Yorkshire, East Riding of Yorkshire, United Kingdom, Holderness
    Description

    Abstract The Holderness coastline is known to be one of the most rapidly retreating coastal regions in Europe. Previous studies on the recession of this coastline have often concentrated on providing a single annual value for the whole coast or for large subdivisions of it; however, relatively little attention has been given to the overall spatial and temporal variability. This paper summarizes and critically appraises the work previously undertaken in this region, presents the results of the former recession rate investigations and displays new interpretations of the data. This assessment found there to be a knowledge gap relating to the processes involved in the recession of this coastline, particularly with regard to frequency of high recession events, further knowledge of which could assist in the planning of the region. It is concluded that many of the former investigations are inadequate by today's standards, because of either the methods employed or the manner in which the results are displayed. Significant steps in gathering high-quality data relating to the erosion of this coastline have been made by the East Riding of Yorkshire Council with the initiation of their Erosion Post monitoring scheme and more recently by their dGPS monitoring. However, if further advancement is to be made in the understanding of the erosion of this region, this work will need to be supplemented with geomorphological monitoring of the cliff line, which will further resolve the processes occurring and aid the production of predictive models. These geomorphological data could be obtained through employment of traditional methods as well as new techniques such as laser scanning or digital photogrammetry.

  12. Annual GDP growth for the United States 1930-2022

    • statista.com
    Updated Apr 14, 2021
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    Statista (2021). Annual GDP growth for the United States 1930-2022 [Dataset]. https://www.statista.com/statistics/996758/rea-gdp-growth-united-states-1930-2019/
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    Dataset updated
    Apr 14, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Covid-19 pandemic saw growth fall by 2.2 percent, compared with an increase of 2.5 percent the year before. The last time the real GDP growth rates fell by a similar level was during the Great Recession in 2009, and the only other time since the Second World War where real GDP fell by more than one percent was in the early 1980s recession. The given records began following the Wall Street Crash in 1929, and GDP growth fluctuated greatly between the Great Depression and the 1950s, before growth became more consistent.

  13. d

    Data from: Episodic Master Recession Model Output used for Recharge...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Oct 1, 2025
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    U.S. Geological Survey (2025). Episodic Master Recession Model Output used for Recharge Estimation in a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18 [Dataset]. https://catalog.data.gov/dataset/episodic-master-recession-model-output-used-for-recharge-estimation-in-a-rain-garden-on-20
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    Dataset updated
    Oct 1, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Indiana, Gary
    Description

    A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration and divert stormwater from city sewers. Input data were collected from a rain gage and five monitoring wells with installed pressure transducers at different locations (BFPK, CH1, CH2, CH3, GWPK; see site description). The Episodic Master Recession or EMR method (Heppner and Nimmo, 2005) is applied using these data as the singular input to estimate the amount of groundwater recharge at each of the five sites during the indicated period of time. References cited: Heppner, C.S., and Nimmo, J.R., 2005, A computer program for predicting recharge with a master recession curve: U.S. Geological Survey Scientific Investigations Report 2005–5172, 10 p., [Also available at https://pubs.usgs.gov/sir/2005/5172/]. Nimmo, J.R., Horowitz, C., and Mitchell, L., 2015, Discrete-storm water-table fluctuation method to estimate episodic recharge: Groundwater, v.53, no. 2, https://doi.org/10.1111/gwat.12177. Lampe, D.C., Bayless, E.R., and Follette, D.D., 2022, Stormwater reduction and water budget for a rain garden on sandy soil, Gary, Indiana, 2016–18: U.S. Geological Survey Scientific Investigations Report 2022–5101, 39 p., https://doi.org/10.3133/sir20225101.

  14. T

    United States GDP Growth Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 25, 2025
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    TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 25, 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 3.80 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.

  15. o

    Code for "Income Declines During COVID-19"

    • openicpsr.org
    Updated Apr 21, 2022
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    Jeff Larrimore; Jacob Mortenson; David Splinter (2022). Code for "Income Declines During COVID-19" [Dataset]. http://doi.org/10.3886/E168281V1
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    Dataset updated
    Apr 21, 2022
    Dataset provided by
    American Economic Association
    Authors
    Jeff Larrimore; Jacob Mortenson; David Splinter
    License

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

    Area covered
    United States
    Description

    The COVID-19 pandemic caused regressive income declines, but also led to progressive policy responses. Using administrative U.S. tax data, which are a near-universal panel dataset that can track income changes over time, we consider the distribution of annual income declines during the COVID-19 pandemic relative to the Great Recession. We then show how the unprecedented policy response to the pandemic, through enhanced unemployment insurance benefits and stimulus checks, affected the distribution of these declines

  16. Gross domestic product of the BRICS countries 2000-2030

    • statista.com
    Updated Nov 25, 2021
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    Statista (2021). Gross domestic product of the BRICS countries 2000-2030 [Dataset]. https://www.statista.com/statistics/254281/gdp-of-the-bric-countries/
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    Dataset updated
    Nov 25, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Since the beginning of the 21st century, the BRICS countries have been considered the five foremost developing economies in the world. Originally, the term BRIC was used by economists when talking about the emerging economies of Brazil, Russia, India, and China, however these countries have held annual summits since 2009, and the group has expanded to include South Africa since 2010. China has the largest GDP of the BRICS country, at 16.86 trillion U.S. dollars in 2021, while the others are all below three trillion. Combined, the BRICS bloc has a GDP over 25.85 trillion U.S. dollars in 2022, which is slightly more than the United States. BRICS economic development China has consistently been the largest economy of this bloc, and its rapid growth has seen it become the second largest economy in the world, behind the U.S.. China's growth has also been much faster than the other BRICS countries; for example, when compared with the second largest BRICS economy, its GDP was less than double the size of Brazil's in 2000, but is almost six times larger than India's in 2021. Since 2000, the country with the second largest GDP has fluctuated between Brazil, Russia, and India, due to a variety of factors, although India has held this position since 2015 (when the other two experienced recession), and it's growth rate is on track to surpass China's in the coming decade. South Africa has consistently had the smallest economy of the BRICS bloc, and it has just the third largest economy in Africa; its inclusion in this group is due to the fact that it is the most advanced and stable major economy in Africa, and it holds strategic importance due to the financial potential of the continent in the coming decades. Future developments It is predicted that China's GDP will overtake that of the U.S. by the end of the 2020s, to become the largest economy in the world, while some also estimate that India will also overtake the U.S. around the middle of the century. Additionally, the BRICS group is more than just an economic or trading bloc, and its New Development Bank was established in 2014 to invest in sustainable infrastructure and renewable energy across the globe. While relations between its members were often strained or of less significance in the 20th century, their current initiatives have given them a much greater international influence. The traditional great powers represented in the Group of Seven (G7) have seen their international power wane in recent decades, while BRICS countries have seen theirs grow, especially on a regional level. Today, the original BRIC countries combine with the Group of Seven (G7), to make up 11 of the world's 12 largest economies, but it is predicted that they will move further up on this list in the coming decades.

  17. CBS News Monthly Poll, August 2009

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Dec 6, 2010
    + more versions
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    CBS News (2010). CBS News Monthly Poll, August 2009 [Dataset]. http://doi.org/10.3886/ICPSR27803.v1
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    sas, spss, stata, ascii, delimitedAvailable download formats
    Dataset updated
    Dec 6, 2010
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    CBS News
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/27803/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/27803/terms

    Time period covered
    Aug 2009
    Area covered
    United States
    Description

    This poll, fielded August 27-31, 2009, 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. Respondents were asked whether they approved of the way Barack Obama was handling the presidency, foreign policy, the situation in Afghanistan, health care, and the economy. Respondents were asked if they thought things in the country were on the right track, their rating of the national economy, and whether they thought the economy would get better. Respondents were also asked questions about the economic recession, including how long they thought it would last, the advisability of the federal government spending money to stimulate the national economy, whether it was acceptable to raise the deficit to create jobs and stimulate growth, and whether the federal budget deficit affected the respondent's family's financial situation. Several questions addressed health care, including whether respondents thought our health care system worked well, whether Medicare worked well, and whether the government would do a better job than private health care companies in keeping health care costs down and providing medical coverage. Respondents were also asked their opinions on the health insurance industry, whether they believed in the possibility of expanding health care coverage without increasing budget deficits or taxes on the middle class, whether Barack Obama or the Republicans in Congress had better ideas about reforming the health care system, and whether they understood the health care reforms Congress was considering. Information was collected on how respondents thought health care reforms under consideration in Congress would affect the middle class, senior citizens, small businesses, the respondent personally, their health care costs, and the quality of health care. Additional topics that were covered included the pullout of troops from Iraq, major credit cards, credit card debt, how the federal government should use taxpayer's money, how to handle the deficit, personal finances, the best way to discourage obesity, and job security. Demographic variables include sex, age, race, marital status, education level, household income, political party affiliation, political philosophy, perceived social class, religious preference, and voter registration status and participation history.

  18. Gross domestic product (GDP) of the United States 2030

    • statista.com
    + more versions
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    Statista, Gross domestic product (GDP) of the United States 2030 [Dataset]. https://www.statista.com/statistics/263591/gross-domestic-product-gdp-of-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

  19. 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
    Explore at:
    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 0.30 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.

  20. T

    Canada GDP Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 29, 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
    Aug 29, 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 - Jun 30, 2025
    Area covered
    Canada
    Description

    The Gross Domestic Product (GDP) in Canada contracted 0.40 percent in the second 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.

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(2025). Real-time Sahm Rule Recession Indicator [Dataset]. https://fred.stlouisfed.org/series/SAHMREALTIME

Real-time Sahm Rule Recession Indicator

SAHMREALTIME

Explore at:
18 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Sep 5, 2025
License

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

Description

Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Aug 2025 about recession indicators, academic data, and USA.

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