14 datasets found
  1. U.S. monthly projected recession probability 2020-2025

    • statista.com
    Updated Jan 3, 2025
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    Statista (2025). U.S. monthly projected recession probability 2020-2025 [Dataset]. https://www.statista.com/statistics/1239080/us-monthly-projected-recession-probability/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2020 - Nov 2025
    Area covered
    United States
    Description

    By November 2025, it is projected that there is a probability of 33.56 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 Jan 30, 2025
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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
    Jan 30, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR) from Q4 1967 to Q3 2024 about recession indicators, GDP, and USA.

  3. F

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

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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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
    Mar 25, 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 2025-03-24 about peak, trough, recession indicators, and USA.

  4. Business growth, access to finance and performance outcomes in the recession...

    • data.subak.org
    • data.europa.eu
    • +1more
    xml
    Updated Feb 16, 2023
    + more versions
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    UK Government - Department for Business, Energy and Industrial Strategy (2023). Business growth, access to finance and performance outcomes in the recession [Dataset]. https://data.subak.org/dataset/business-growth-finance-performance-in-recession
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    xmlAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Government of the United Kingdomhttps://www.gov.uk/
    Department for Business, Energy and Industrial Strategyhttps://gov.uk/beis
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Data underlying the report of a study that assesses and quantifes the impacts of the financial crisis and subsequent global economic recession on the growth and performance of UK SME employers. Analyses existing data from two previous survey sources on SME employers in the pre-recession and recessionary periods. Covers how the problems in the banking sector have affected the supply of finance to the SME sector, and whether this has depressed business performance and investment. Looks at the impact of the recession has been more serious for particular types of entrepreneurs and businesses.

  5. d

    Long-Term Monitoring at the East and West Flower Garden Banks National...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 1, 2025
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    (Point of Contact) (2025). Long-Term Monitoring at the East and West Flower Garden Banks National Marine Sanctuary in the Gulf of Mexico, 2002-2006 (NCEI Accession 0012632) [Dataset]. https://catalog.data.gov/dataset/long-term-monitoring-at-the-east-and-west-flower-garden-banks-national-marine-sanctuary-in-the-1
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    Dataset updated
    Mar 1, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    Gulf of Mexico (Gulf of America), Flower Garden Banks National Marine Sanctuary
    Description

    The Long-Term Monitoring at the East and West Flower Garden Banks National Marine Sanctuary 2002-2006 data include biological and oceanographic measurements collected to satisfy the MMS and NOAA contracts 1435-01-02-CT-85088 and 1435-01-04-CT-33137 through the monitoring year 2006. The Flower Garden Banks are located in the northwest Gulf of Mexico and are unique within the region. The Flower Garden Banks are coral reefs with biological assemblages typical of Caribbean coral reefs, including approximately 23 Caribbean scleractinian coral species, a low abundance and diversity of sponges, and reef fishes. These data are the result of yearly monitoring events and are used for comparison purposes required to complete technical reports and presentations. Statistical analyses, photographs, and videography are not included in this submission. On the East and West Flower Garden Banks there are 100 m by 100m study sites within which monitoring is conducted every year. The data included in this submission are from these study sites and include the following: (1) random transect benthic cover data obtained using videography (2002-2006), still photographs (2002-2003) and linear point intercept observer data (2002-2003). Random transect data include the proportional cover of benthic components including coral species, sponges, algae, and other groups. (2) Sclerochronology data are taken during odd years to look at short-term (10 years) change in coral growth rates. (3) Photographs of marked Diploria strigosa colony margins are taken annually to track lateral growth or recession of colony margins over time. Data within this dataset start with comparisons between 2001 and 2002. (4) Repetitive 8m2 quadrat planimetry data follow specific coral colonies over time. Coral colonies are traced each year to measure lateral growth, loss, and/or replacement within a continuously monitored 8m2 area. Data within this dataset start with comparisons between 2001 and 2002. (5) Abiotic water quality parameters are recorded on a continual basis using YSI datasondes. Data include temperature, specific conductivity, dissolved oxygen concentration, dissolved oxygen charge, pressure, depth, pH, pHmV, par1, par2, turbidity, and salinity. Additionally, HoboTemp thermographs are used as a back-up to record temperature. On YSI datasonde changeout cruises water samples are taken at surface, mid-water and at the benthos for nutrient and chlorophyll analysis. (6) Fish population surveys are completed to monitor fish species abundance and size from year to year.

  6. Annual GDP and real GDP for the United States 1929-2022

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Annual GDP and real GDP for the United States 1929-2022 [Dataset]. https://www.statista.com/statistics/1031678/gdp-and-real-gdp-united-states-1930-2019/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    On October 29, 1929, the U.S. experienced the most devastating stock market crash in it's history. The Wall Street Crash of 1929 set in motion the Great Depression, which lasted for twelve years and affected virtually all industrialized countries. In the United States, GDP fell to it's lowest recorded level of just 57 billion U.S dollars in 1933, before rising again shortly before the Second World War. After the war, GDP fluctuated, but it increased gradually until the Great Recession in 2008. Real GDP Real GDP allows us to compare GDP over time, by adjusting all figures for inflation. In this case, all numbers have been adjusted to the value of the US dollar in FY2012. While GDP rose every year between 1946 and 2008, when this is adjusted for inflation it can see that the real GDP dropped at least once in every decade except the 1960s and 2010s. The Great Recession Apart from the Great Depression, and immediately after WWII, there have been two times where both GDP and real GDP dropped together. The first was during the Great Recession, which lasted from December 2007 until June 2009 in the US, although its impact was felt for years after this. After the collapse of the financial sector in the US, the government famously bailed out some of the country's largest banking and lending institutions. Since recovery began in late 2009, US GDP has grown year-on-year, and reached 21.4 trillion dollars in 2019. The coronavirus pandemic and the associated lockdowns then saw GDP fall again, for the first time in a decade. As economic recovery from the pandemic has been compounded by supply chain issues, inflation, and rising global geopolitical instability, it remains to be seen what the future holds for the U.S. economy.

  7. f

    DataSheet1_Responsiveness, Performance and Corruption: Reasons for the...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated Jun 5, 2023
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    Mariano Torcal; Pablo Christmann (2023). DataSheet1_Responsiveness, Performance and Corruption: Reasons for the Decline of Political Trust.docx [Dataset]. http://doi.org/10.3389/fpos.2021.676672.s001
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    docxAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Frontiers
    Authors
    Mariano Torcal; Pablo Christmann
    License

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

    Description

    We test the importance of responsiveness, performance and corruption to explain the evolution of political trust in Spain between 1997 and 2019. To this end, the study analyses two longitudinal datasets, namely, a repeated cross-sectional dataset from the Spanish samples of Eurobarometer and an individual-level panel survey conducted during a period of economic recovery in 2015. The study finds that perceptions about political corruption and responsiveness matter greatly in shaping political trust and to a lesser extent economic performance. Although the Great Recession is likely responsible for the sharp decline in trust towards political parties and the parliament between 2008 and 2012, the analysis suggests that trust in representative institutions remains low even after the Recession because of a series of devastating corruption incidents and a perceived lack of responsiveness of the political system. On the other hand, the study finds indications that trust in the judicial system might have been mainly affected by perceptions of corruption.

  8. T

    Germany GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Jan 30, 2025
    + more versions
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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
    Jan 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 - Dec 31, 2024
    Area covered
    Germany
    Description

    The Gross Domestic Product (GDP) in Germany contracted 0.20 percent in the fourth quarter of 2024 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.

  9. d

    Kansalaisturvallisuus 2019 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 24, 2023
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    (2023). Kansalaisturvallisuus 2019 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/ae7c5807-a97f-5ebe-9d9e-a3b58efe2bd1
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    Dataset updated
    Oct 24, 2023
    Description

    Tutkimuksessa kartoitettiin Suomen kansalaisten näkemyksiä ja mielipiteitä turvallisuudesta. Kysely laadittiin yhteistyössä SPEKin ja Suomen Kyselytutkimus Oy:n kesken. Kyselyn alussa kerättiin tietoa kansalaisten henkilökohtaisesta hyvinvoinnista ja turvallisuudesta. Kysyttiin, kokivatko vastaajat saavansa tarvittaessa apua hankalissa elämäntilanteissa. Sen jälkeen pelkoihin liittyen kysyttiin, kuinka huolissaan oltiin, että omassa tai läheisten arjessa kohdattaisiin erilaisia turvallisuutta heikentäviä tilanteita, kuten rikoksia tai tapaturmia. Suomalaisen yhteiskunnan turvallisuuteen liittyen kysyttiin mielipiteitä arjen turvallisuudesta, kansalaisten tasa-arvoisesta, yhdenvertaisesta ja oikeudenmukaisesta kohtelusta sekä median luomasta turvallisuudesta. Kartoitettiin esimerkiksi, koettiinko Suomi turvalliseksi maaksi elää, herättivätkö poliittiset erimielisyydet tai sosiaalisen median vihapuhe pelkoa ja oliko ihmisten eriarvoistuminen keskeinen turvattomuutta luova tekijä Suomessa. Kysyttiin myös, vaikuttivatko ihmisten erilaiset ominaisuudet siihen, miten toiseen ihmiseen luotettiin ja kuinka todennäköisenä erilaisia turvallisuuden uhkia pidettiin Suomessa seuraavan kolmen vuoden aikana. Seuraavaksi kysyttiin yhteiskunnan tuottamiin palveluihin liittyen, kuinka suuri merkitys eri tahoilla koettiin olevan turvallisuuden lisäämisessä, ja kuinka eri palvelujen saatavuuden arveltiin muuttuvan seuraavan kolmen vuoden aikana. Lopuksi tiedusteltiin, olivatko vastaajat tai heidän perheensä asioineet viimeisen vuoden aikana poliisin, pelastustoimen, Rajavartiolaitoksen tai ensihoidon kanssa. Taustamuuttujina aineistossa ovat sukupuoli, ikä ja ikäryhmä, äidinkieli, asuinkunta, tilastollinen kuntajako, asuinpaikka, maakunta, vanhempien syntyperä, perhemuoto, korkein koulutus, pääasiallinen toiminta ja tulojen riittävyys. This survey charted Finnish views and opinions on safety and security in Finland. The study was conducted in 2019 by Suomen Kyselytutkimus in collaboration with the Finnish National Rescue Association (SPEK). First, some questions on the respondents' personal wellbeing and security were asked (e.g. whether they thought they would receive financial help from the people close to them if they needed it). The respondents' fears of encountering various situations in their daily lives (e.g. crime against property, domestic violence, traffic accident, terrorism, hate speech/hate crimes) that would undermine their safety or that of their loved ones were charted. The respondents were also asked whether they had themselves experienced various situations (e.g. been a victim of violence, been in a traffic accident, been in a fire) within the last year, the year before that, 2-4 years ago, over 4 years ago or never. The respondents were presented with a set of attitudinal statements concerning safety in different types of residential areas and in Finland more generally, the impact of media on safety, righteousness of the treatment of criminals and victims of crime, and trust in foreigners living in Finland. The respondents were also asked how various characteristics (e.g. religion, gender, sexual orientation, ethnic background, political beliefs) affected their trust in other people. Views on national security were charted, and the respondents were asked how likely they considered Finland facing different problems within the next three years (e.g. threat of terrorism, sustained recession, problems with the supply of electricity, political problems, epidemics or pandemics, a massive influx of refugees, environmental catastrophes). Next, the respondents were asked how they thought the availability of various services, such as police or emergency services and public child day care, would change within the next three years. Feelings of unsafety were also charted, and the respondents were asked to what extent their feelings of safety were increased by different actors (e.g. the police, the Defence Forces, emergency services, healthcare services, family). Additionally, the respondents' and their families use of various services (e.g. the police, emergency services) in the past year and their satisfaction with the services used were investigated. Background variables included the type of the respondent's municipality of residence, NUTS2 and NUTS3 regions of residence, statistical grouping of municipalities, and residence in the seven largest municipalities in Finland (categorised). Additionally, the background variables included the respondent's age and age group, gender, mother tongue, household composition, whether R's parents were born in Finland, highest level of education, economic activity and occupational status, and sufficiency of the household's income.

  10. F

    S&P 500

    • fred.stlouisfed.org
    • you.radio.fm
    json
    Updated Mar 26, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Mar 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  11. Consumer spending in the United Kingdom (UK) 2005-2023

    • statista.com
    Updated Jun 18, 2024
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    Statista (2024). Consumer spending in the United Kingdom (UK) 2005-2023 [Dataset]. https://www.statista.com/statistics/368665/consumer-expenditure-united-kingdom-uk/
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    Dataset updated
    Jun 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic shows total domestic consumption expenditure in the United Kingdom (UK) from 2005 to 2023. In 2023, consumer spending in the UK increased compared to the previous year, and amounted to approximately 1.6 trillion British pounds. Household consumption expenditure looks at the overall spending on consumer goods and services of a wide variety. Some examples are government licenses and permits, such as a passport renewal or the price of train tickets to get to work. Housing may also be accounted for in these figures. This figure is measured by how much the consumer actually pays at the point of sale. All fast moving consumer goods such a beer, or cigarettes are also accounted for in this data. One part of the United Kingdom, Scotland, has seen as increase in its overall household expenditure year over year since 2009, with figures reaching over 100 billion British pounds in 2018. There was a small decrease in expenditure in 2009, which was possibly a result of the economic recession which hit all of the United Kingdom hard at this time. This drop can also be seen when looking at the whole of the United Kingdom in this statistic.

  12. f

    Data_Sheet_1_Nowcasting unemployment rate during the COVID-19 pandemic using...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated Jun 10, 2023
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    Zahra Movahedi Nia; Ali Asgary; Nicola Bragazzi; Bruce Mellado; James Orbinski; Jianhong Wu; Jude Kong (2023). Data_Sheet_1_Nowcasting unemployment rate during the COVID-19 pandemic using Twitter data: The case of South Africa.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.952363.s001
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    docxAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Frontiers
    Authors
    Zahra Movahedi Nia; Ali Asgary; Nicola Bragazzi; Bruce Mellado; James Orbinski; Jianhong Wu; Jude Kong
    License

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

    Area covered
    South Africa
    Description

    The global economy has been hard hit by the COVID-19 pandemic. Many countries are experiencing a severe and destructive recession. A significant number of firms and businesses have gone bankrupt or been scaled down, and many individuals have lost their jobs. The main goal of this study is to support policy- and decision-makers with additional and real-time information about the labor market flow using Twitter data. We leverage the data to trace and nowcast the unemployment rate of South Africa during the COVID-19 pandemic. First, we create a dataset of unemployment-related tweets using certain keywords. Principal Component Regression (PCR) is then applied to nowcast the unemployment rate using the gathered tweets and their sentiment scores. Numerical results indicate that the volume of the tweets has a positive correlation, and the sentiments of the tweets have a negative correlation with the unemployment rate during and before the COVID-19 pandemic. Moreover, the now-casted unemployment rate using PCR has an outstanding evaluation result with a low Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), Symmetric MAPE (SMAPE) of 0.921, 0.018, 0.018, respectively and a high R2-score of 0.929.

  13. f

    Regression results by country: Explanatory variable is Gross National Income...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 8, 2023
    + more versions
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    Cleon Tsimbos; Georgia Verropoulou; Dimitra Petropoulou (2023). Regression results by country: Explanatory variable is Gross National Income (GNI) per capita PPP-adjusted. [Dataset]. http://doi.org/10.1371/journal.pone.0259623.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cleon Tsimbos; Georgia Verropoulou; Dimitra Petropoulou
    License

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

    Description

    Regression results by country: Explanatory variable is Gross National Income (GNI) per capita PPP-adjusted.

  14. T

    Canada GDP Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Feb 28, 2025
    + more versions
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    Canada GDP Growth Rate [Dataset]. https://tradingeconomics.com/canada/gdp-growth
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Feb 28, 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 - Dec 31, 2024
    Area covered
    Canada
    Description

    The Gross Domestic Product (GDP) in Canada expanded 0.60 percent in the fourth quarter of 2024 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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Statista (2025). U.S. monthly projected recession probability 2020-2025 [Dataset]. https://www.statista.com/statistics/1239080/us-monthly-projected-recession-probability/
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U.S. monthly projected recession probability 2020-2025

Explore at:
Dataset updated
Jan 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Nov 2020 - Nov 2025
Area covered
United States
Description

By November 2025, it is projected that there is a probability of 33.56 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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