74 datasets found
  1. US Recession Dataset

    • kaggle.com
    zip
    Updated May 14, 2023
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    Shubhaansh Kumar (2023). US Recession Dataset [Dataset]. https://www.kaggle.com/datasets/shubhaanshkumar/us-recession-dataset
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    zip(39062 bytes)Available download formats
    Dataset updated
    May 14, 2023
    Authors
    Shubhaansh Kumar
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Area covered
    United States
    Description

    This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

    There are 20 columns and 343 rows spanning 1990-04 to 2022-10

    The columns are:

    1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

    2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

    3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

    4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

    5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

    6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

    7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

    8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

    9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

  2. United States: duration of recessions 1854-2024

    • statista.com
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    Statista, United States: duration of recessions 1854-2024 [Dataset]. https://www.statista.com/statistics/1317029/us-recession-lengths-historical/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.

  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. U.S. monthly projected recession probability 2021-2026

    • statista.com
    Updated Nov 28, 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/
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    Dataset updated
    Nov 28, 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.

  5. Great Recession: GDP growth for the E7 emerging economies 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: GDP growth for the E7 emerging economies 2007-2011 [Dataset]. https://www.statista.com/statistics/1346915/great-recession-e7-emerging-economies-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

  6. 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.

  7. Great Recession: global gross domestic product (GDP) growth from 2007 to...

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: global gross domestic product (GDP) growth from 2007 to 2011 [Dataset]. https://www.statista.com/statistics/1347029/great-recession-global-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    From the Summer of 2007 until the end of 2009 (at least), the world was gripped by a series of economic crises commonly known as the Global Financial Crisis (2007-2008) and the Great Recession (2008-2009). The financial crisis was triggered by the collapse of the U.S. housing market, which caused panic on Wall Street, the center of global finance in New York. Due to the outsized nature of the U.S. economy compared to other countries and particularly the centrality of U.S. finance for the world economy, the crisis spread quickly to other countries, affecting most regions across the globe. By 2009, global GDP growth was in negative territory, with international credit markets frozen, international trade contracting, and tens of millions of workers being made unemployed.

    Global similarities, global differences

    Since the 1980s, the world economy had entered a period of integration and globalization. This process particularly accelerated after the collapse of the Soviet Union ended the Cold War (1947-1991). This was the period of the 'Washington Consensus', whereby the U.S. and international institutions such as the World Bank and IMF promoted policies of economic liberalization across the globe. This increasing interdependence and openness to the global economy meant that when the crisis hit in 2007, many countries experienced the same issues. This is particularly evident in the synchronization of the recessions in the most advanced economies of the G7. Nevertheless, the aggregate global GDP number masks the important regional differences which occurred during the recession. While the more advanced economies of North America, Western Europe, and Japan were all hit hard, along with countries who are reliant on them for trade or finance, large emerging economies such as India and China bucked this trend. In particular, China's huge fiscal stimulus in 2008-2009 likely did much to prevent the global economy from sliding further into a depression. In 2009, while the United States' GDP sank to -2.6 percent, China's GDP, as reported by national authorities, was almost 10 percent.

  8. Great Recession: GDP growth rates for G7 countries from 2007 to 2011

    • statista.com
    Updated Nov 22, 2022
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    Statista (2022). Great Recession: GDP growth rates for G7 countries from 2007 to 2011 [Dataset]. https://www.statista.com/statistics/1346722/gdp-growth-rate-g7-great-recession/
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    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    From the onset of the Global Financial Crisis in the Summer of 2007, the world economy experienced an almost unprecedented period of turmoil in which millions of people were made unemployed, businesses declared bankruptcy en masse, and structurally critical financial institutions failed. The crisis was triggered by the collapse of the U.S. housing market and subsequent losses by investment banks such as Bear Stearns, Lehman Brothers, and Merrill Lynch. These institutions, which had become over-leveraged with complex financial securities known as derivatives, were tied to each other through a web of financial contracts, meaning that the collapse of one investment bank could trigger the collapse of several others. As Lehman Brothers failed on September 15. 2008, becoming the largest bankruptcy in U.S. history, shockwaves were felt throughout the global financial system. The sudden stop of flows of credit worldwide caused a financial panic and sent most of the world's largest economies into a deep recession, later known as the Great Recession. The World Economy in recession
    More than any other period in history, the world economy had become highly interconnected and interdependent over the period from the 1970s to 2007. As governments liberalized financial flows, banks and other financial institutions could take money in one country and invest it in another part of the globe. Financial institutions and other non-financial companies became multinational, meaning that they had subsidiaries and partners in many regions. All this meant that when Wall Street, the center of global finance in New York City, was shaken by bankruptcies and credit freezes in late 2007, other advanced economies did not need to wait long to feel the tremors. All of the G7 countries, the seven most economically advanced western-aligned countries, entered recession in 2008, before experiencing an even deeper trough in 2009. While all returned to growth by 2010, this was less stable in the countries of the Eurozone (Germany, France, Italy) over the following years due to the Eurozone crisis, as well as in Japan, which has had issues with low growth since the mid-1990s.

  9. Data from: The Great Recession’s Effect on Entrepreneurship

    • clevelandfed.org
    Updated Mar 24, 2011
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    Federal Reserve Bank of Cleveland (2011). The Great Recession’s Effect on Entrepreneurship [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2011/ec-201104-the-great-recessions-effect-on-entrepreneurship
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    Dataset updated
    Mar 24, 2011
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Though the recent recession was the worst downturn since the Great Depression, some observers argue that one silver lining is an upswing in entrepreneurship. Recessions, they claim, provide laid-off workers with the motivation to start their own businesses, and a recent study suggests that in 2009 the number people becoming self employed spiked to its highest level in more than a decade. Unfortunately, a careful look at multiple sources of data shows that the Great Recession was actually a time of considerable decline in entrepreneurial activity in the United States.

  10. s

    Great Recession: consumer confidence level in the U.S. 2007-2010

    • statista.com
    Updated Nov 21, 2022
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    Statista (2022). Great Recession: consumer confidence level in the U.S. 2007-2010 [Dataset]. https://www.statista.com/statistics/1346284/consumer-confidence-us-great-recession/
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    Dataset updated
    Nov 21, 2022
    Dataset authored and provided by
    Statista
    Time period covered
    Jan 2007 - Jan 2010
    Area covered
    United States
    Description

    The Great Recession was a period of economic contraction which came in the wake of the Global Financial Crisis of 2007-2008. The recession was triggered by the collapse of the U.S. housing market and subsequent bankruptcies among Wall Street financial institutions, the most significant of which being the bankruptcy of Lehman Brothers in September 2008, the largest bankruptcy in U.S. history. These economic convulsions caused consumer confidence, measured by the Consumer Confidence Index (CCI), to drop sharply in 2007 and the beginning of 2008. How does the Consumer Confidence Index work? The CCI measures household's expectation of their future economic situation and, consequently, their likely future spending and savings decisions. A score of 100 in the index would indicate a neutral economic outlook, with consumers neither being optimistic nor pessimistic about the near future. Scores below 100 are then more pessimistic, while scores above 100 indicate optimism about the economy. Consumer confidence can have a self-fulfilling effect on the economy, as when consumers are pessimistic about the economy, they tend to save and postpone spending, contracting aggregate demand and causing the economy to slow down. Conversely, when consumers are optimistic and willing to spend, this can have a reinforcing effect as wages and employment may rise when consumers spend more. CCI and the Great Recession As the reality of the trouble which the U.S. financial sector was in set in over 2007, consumer confidence dropped sharply from being slightly positive, to being deeply pessimistic by the Summer of 2008. While confidence began to slowly rebound up until September 2008, with the panic caused by Lehman's bankruptcy and the freezing of new credit creation, the CCI plummeted once more, reaching its lowest point during the recession in February 2008. The U.S. government stepped in to prevent the bankruptcy of AIG in 2008, promising to do the same for any future possible failures in the financial system. This 'backstopping' policy, whereby the government assured that the economy would not be allowed to fall further into crisis, along with the Federal Reserve's unconventional monetary policies used to restart the economy, contributed to a rebound in consumer confidence in 2009 and 2010. In spite of this, consumers still remained pessimistic about the economy.

  11. 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.

  12. T

    OECD based Recession Indicators for Four Big European Countries from the...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 2, 2021
    + more versions
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    TRADING ECONOMICS (2021). OECD based Recession Indicators for Four Big European Countries from the Peak through the Trough [Dataset]. https://tradingeconomics.com/united-states/oecd-based-recession-indicators-for-four-big-european-countries-from-the-peak-through-the-trough-fed-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jul 2, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Europe
    Description

    OECD based Recession Indicators for Four Big European Countries from the Peak through the Trough was 0.00000 +1 or 0 in August of 2022, according to the United States Federal Reserve. Historically, OECD based Recession Indicators for Four Big European Countries from the Peak through the Trough reached a record high of 1.00000 in May of 1962 and a record low of 0.00000 in March of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for OECD based Recession Indicators for Four Big European Countries from the Peak through the Trough - last updated from the United States Federal Reserve on November of 2025.

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

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). 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
    Nov 28, 2025
    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.

  14. Community Banking Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Mar 14, 2025
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    Technavio (2025). Community Banking Market Analysis, Size, and Forecast 2025-2029: North America (Canada and Mexico), Europe (France, Germany, and UK), Middle East and Africa (UAE), APAC (Australia, China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/community-banking-market-analysis
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    pdfAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    South Korea, United Arab Emirates, Australia, Canada, North America, Mexico, Japan, Germany, United Kingdom, Brazil
    Description

    Snapshot img

    Community Banking Market Size 2025-2029

    The community banking market size is forecast to increase by USD 253 billion at a CAGR of 5.8% between 2024 and 2029.

    The market is experiencing significant shifts driven by the increasing adoption of microlending in developing nations and the rising preference for digital platforms. The microlending, a segment of community banking, is gaining traction in developing economies due to its ability to provide small loans to individuals and small businesses who lack access to traditional banking services. This trend is expected to continue, fueled by the growing financial inclusion efforts and increasing economic activity in these regions. Simultaneously, the community banking sector is witnessing a surge in the adoption of digital platforms.
    The digital community banking services, such as mobile banking and online lending, are becoming increasingly popular due to their convenience and accessibility. This trend is particularly noticeable among younger demographics, who are more likely to use digital channels for banking. However, the market also faces challenges. One of the most significant obstacles is the lack of awareness about community banking services. Many potential customers, particularly in rural and underserved areas, are unaware of the benefits and availability of community banking services. Addressing this challenge will require targeted marketing efforts and community outreach programs.
    

    What will be the Size of the Community Banking Market during the forecast period?

    Request Free Sample

    The market continues to evolve, with advanced technology playing a pivotal role in shaping the landscape. Financial institutions, both large and small, are integrating microfinance, mobile banking, and remote deposit capture to cater to diverse customer needs. In the micropolitan areas, community banks have gained prominence, offering personalized services to rural and agricultural sectors. The economic recession led to a surge in digital adoption, with mobile banking becoming increasingly popular. However, the competition remains fierce, with big banks also investing heavily in technology to retain their customer base. The ongoing market dynamics underscore the need for continuous innovation and adaptation to stay competitive.
    Community banks, with their focus on local markets and relationships, are well-positioned to leverage these trends and offer competitive rates and fees to attract and retain customers. The integration of advanced technology enables seamless transactions and enhanced customer experience, further bolstering their position in the market. The future of community banking lies in its ability to balance tradition and innovation, offering personalized services while embracing digital transformation.
    

    How is this Community Banking Industry segmented?

    The community banking industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Area
    
      Metropolitan
      Rural and micropolitan
    
    
    Sector
    
      Small business
      CRE
      Agriculture
    
    
    Service Type
    
      Retail banking
      Commercial banking
      Wealth management and financial advisory
      Others
    
    
    Delivery Model
    
      Branch Banking
      Online Banking
      Mobile Banking
    
    
    Institution Type
    
      Credit Unions
      Local Banks
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        Australia
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Area Insights

    The metropolitan segment is estimated to witness significant growth during the forecast period.

    In the dynamic world of financial services, community banks in the US continue to gain traction among consumers, particularly in rural and micropolitan areas where Big Banks may have a limited presence. While Big Banks dominate the market with their vast resources and broad reach, Community FIs cater to the unique needs of their local clientele. With the rise of advanced technology, Community banks have embraced digital banking solutions, including Internet banking, mobile banking, and remote deposit capture. Small businesses and agricultural sectors, integral to rural economies, benefit significantly from Community banks' personalized services and expertise. Despite the economic recession, these institutions have managed to maintain deposits through their strong relationships with customers.

    Microlending, a niche offering, further distinguishes Community banks from their larger counterparts. Rates and fees remain crucial factors for customers, especially in a competitive market. Community banks often offer more competitive rates and lower fees compared to Big Banks, making t

  15. Latin America & Caribbean: GDP real growth by country 2024

    • statista.com
    Updated Mar 20, 2023
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    Statista (2023). Latin America & Caribbean: GDP real growth by country 2024 [Dataset]. https://www.statista.com/statistics/1032072/gross-domestic-product-growth-latin-america-caribbean-country/
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    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    Latin America
    Description

    Haiti is expected to experience the worst economic recession in Latin America and the Caribbean in 2024. Haiti's gross domestic product (GDP) in 2024 is forecast to be 3 percent lower than the value registered in 2023, based on constant prices. Aside from Argentina, Haiti, and Puerto Rico, most economies in the region were likely to experience economic growth in 2024, most notably, Guyana.

  16. Modular Data Centers Market Analysis North America, Europe, APAC, South...

    • technavio.com
    pdf
    Updated Aug 30, 2024
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    Technavio (2024). Modular Data Centers Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, UK, China, Germany, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/modular-data-centers-market-analysis
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    pdfAvailable download formats
    Dataset updated
    Aug 30, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    United Kingdom, United States
    Description

    Snapshot img

    Modular Data Centers Market Size 2024-2028

    The global modular data centers market size is forecast to increase by USD 42.56 billion, at a CAGR of 19.8% between 2023 and 2028. The need to streamline traditional data centers is a major factor fueling market growth. Today, companies running single conventional data centers grapple with complex management and soaring capital costs due to sophisticated power and cooling systems. With the current economic recession, businesses are increasingly seeking cost-effective and scalable solutions. Modular data centers, with their standardized, portable designs, provide an ideal alternative that can be quickly deployed. Mobile network operators and colocation providers are among the leading users of these solutions. These modular setups are more environmentally friendly, thanks to their energy-efficient HVAC systems and IT equipment. As big data, AI, cloud computing, 5G, and IoT applications require higher operating temperatures, the flexibility and scalability of modular designs become even more crucial.

    What will be the Size of the Market During the Forecast Period?

    To learn more about this report, Download Report Sample

    Market Segmentation

    By End-user

    IT and Telecom is the Leading Segment to Dominate the Market

    The IT and telecom segment is estimated to witness significant growth during the forecast period. In the global market, Modular Data Centers hold a significant share, particularly in the IT and telecom sector. These centers are essential for providing the required computing power and storage for various applications and services in the industry. With the rise of cloud computing, the demand for data centers has escalated, as businesses seek to access resources without substantial capital expenditure. The IT and telecom segment was the largest and was valued at USD 4.02 billion in 2018. The influx of data from businesses and individuals necessitates data centers capable of handling vast amounts of information. Recession or not, Modular Data Centers offer scalability and rapid deployment, making them attractive to mobile network providers and data center colocation providers. Green data centers, with their standard design and cooling systems, are increasingly popular due to their energy efficiency. Big data, AI, cloud computing, 5G infrastructure, Internet of things, and cloud-based solutions are driving the market's growth.

    For more details on other segments, Download Sample Report

    North America Holds a Prominent Position in the Market

    North America is estimated to contribute 30% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The Edge computing trend is driving the growth of the market in the US and Canada, particularly in the BFSI industry. Large enterprises are shifting towards energy-efficient data centers to minimize costs and CAPEX, opting for cloud solutions from hyperscale providers like AWS, Microsoft, and Oracle. As of 2021, the US hosts over 2,670 data centers, making it the global leader. Quicksilver Capital and the World Economic Forum highlight the importance of digital transformation in this context. These offer Scalable data centers for large enterprises, enabling them to meet their computing capacity requirements efficiently.

    To understand geographic trends Download Report Sample

    Market Dynamics and Customer Landscape

    They have emerged as a popular solution for businesses seeking scalability and rapid deployment during times of economic uncertainty, such as a recession. These data centers utilize a modular design, allowing for easy expansion and contraction based on demand. Green data centers, which prioritize energy efficiency, are a key focus in the modular data center market. Mobile network providers and large enterprises are major consumers, as they require cloud-based networking and 5G infrastructure to support digital transformation initiatives. The solutions sub-segment and services segment of the modular data center market are expected to grow significantly, as businesses increasingly turn to cloud-based solutions for their data storage and processing needs. The World Economic Forum has the importance of energy-efficient data centers in reducing carbon emissions and mitigating the environmental impact of digitalization. Quicksilver Capital and other investors have shown interest in the modular data center market, recognizing its potential for innovation and growth. Overall, the modular data center market is poised for expansion, driven by the need for scalable, energy-efficient, and quickly deployable solutions.

    Key Market Driver

    Requirement to reduce complexity of traditional data centers is notably driving market growth. In today's business landscape, enterprises operating a single traditional data center face increasing complexi

  17. c

    Rising Interest Rate Risk at U.S. Banks

    • clevelandfed.org
    Updated Jun 24, 2014
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    Federal Reserve Bank of Cleveland (2014). Rising Interest Rate Risk at U.S. Banks [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2014/ec-201412-rising-interest-rate-risk-at-us-banks
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    Dataset updated
    Jun 24, 2014
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Area covered
    United States
    Description

    Average interest rate risk in the banking system has been increasing since the end of the financial crisis and is almost back to its pre-recession level. But the increase has not occurred uniformly at large and small banks. At big banks, risk, while increasing, hasn’t yet reached its pre-recession high. It’s in small banks where we see a steep rise in interest rate risk. The big banks’ exposure is being driven mainly by their liabilities. At small banks, it is coming from both their assets and liabilities.

  18. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Nov 20, 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
    Nov 20, 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 - Sep 30, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August 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.

  19. Banker perspective on likely causes of recession in the U.S. Q2 2022

    • statista.com
    Updated Apr 22, 2023
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    Statista (2023). Banker perspective on likely causes of recession in the U.S. Q2 2022 [Dataset]. https://www.statista.com/statistics/1214283/us-banker-opinion-cause-of-recession/
    Explore at:
    Dataset updated
    Apr 22, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 21, 2022 - Jun 30, 2022
    Area covered
    United States
    Description

    United States banking professionals believed in Q2 2022 that a Fed overcorrection was a probable cause for a recession. ** percent of the respondents believed that the too fast and too highly increasing Fed rates would result in an economic recession. ** percent of the respondents predicted that a recession would occur because of supply chain problems, while **** percent mentioned the conflict in Eastern Europe as the main cause for a possible recession.

  20. Midlife in the United States (MIDUS Refresher 1), 2011-2014

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Sep 17, 2025
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    Ryff, Carol; Almeida, David M.; Ayanian, John Z.; Binkley, Neil; Carr, Deborah S.; Coe, Christopher; Davidson, Richard; Grzywacz, Joseph; Karlamangla, Arun; Krueger, Robert; Lachman, Margie E.; Love, Gayle; Mailick, Marsha; Mroczek, Daniel K.; Radler, Barry; Seeman, Teresa E.; Sloan, Richard; Thomas, Duncan; Weinstein, Maxine; Williams, David R. (2025). Midlife in the United States (MIDUS Refresher 1), 2011-2014 [Dataset]. http://doi.org/10.3886/ICPSR36532.v4
    Explore at:
    sas, delimited, spss, ascii, stata, rAvailable download formats
    Dataset updated
    Sep 17, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ryff, Carol; Almeida, David M.; Ayanian, John Z.; Binkley, Neil; Carr, Deborah S.; Coe, Christopher; Davidson, Richard; Grzywacz, Joseph; Karlamangla, Arun; Krueger, Robert; Lachman, Margie E.; Love, Gayle; Mailick, Marsha; Mroczek, Daniel K.; Radler, Barry; Seeman, Teresa E.; Sloan, Richard; Thomas, Duncan; Weinstein, Maxine; Williams, David R.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36532/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36532/terms

    Time period covered
    2008 - 2009
    Area covered
    United States
    Description

    In 2011-2014, the MIDUS Refresher study recruited a national probability sample of 3,577 adults, aged 25 to 74, designed to replenish the original MIDUS 1 baseline cohort and paralleling the five decadal age groups of the MIDUS 1 baseline survey [ICPSR 2760]. The MIDUS Refresher survey employed the same comprehensive assessments as those assembled on the existing MIDUS sample, but with additional questions about the effect of the economic recession of 2008-09. The MIDUS Refresher collection is split into two datasets: Aggregate Data and Coded Text Data. The Coded Text Dataset provides coded responses to open-ended question items in the Aggregate Dataset. The survey data collection (Project 1) [MIDUS, ICPSR 2760] consisted of a 30-minute phone interview followed by two 50-page mailed self-administered questionnaires. Survey data were collected on demographic, psycho-social, and physical and mental health information. This new crosssectional MIDUS sample allows the examination of period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS 1 sample with the post-recession MIDUS Refresher sample. A further objective of the MIDUS Refresher sample was to strengthen cross-project analyses in MIDUS by increasing the sample sizes available for testing hypotheses dealing with the interplay of key factors (e.g., socioeconomic status, gender, psychosocial factors, biological factors) in mid- and laterlife health. To that end, the MIDUS Refresher sample followed the same multi-disciplinary protocol established in the main MIDUS sample, in that after completing the survey protocol respondents were asked to complete a cognitive assessment by phone (Project 3) [MIDUS 3, ICPSR 36346] and later became eligible to participate in daily diary assessments (Project 2) [MIDUS 2, ICPSR 4652] biomarker assessments (Project 4) [MIDUS 2: Biomarker Project, ICPSR 29282] and neuroscience assessments (Project 5) [MIDUS 2: Neuroscience Project, ICPSR 28683]. The MIDUS Refresher was funded by the National Institute on Aging as two separate but related efforts: The MIDUS Refresher younger decades (MRY), was fielded in November, 2011, and recruited over 2,100 new participants aged 25 to 54; Funding was later added for the MIDUS Refresher older decades (MRO), which was fielded in June, 2013 and recruited over 1,400 new participants aged 55 to 74. Demographic variables include age, sex, gender, race, religion, and marital status.

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Shubhaansh Kumar (2023). US Recession Dataset [Dataset]. https://www.kaggle.com/datasets/shubhaanshkumar/us-recession-dataset
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US Recession Dataset

Navigating Economic Downturns: A Dataset of Key Indicators and Recession Binary

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zip(39062 bytes)Available download formats
Dataset updated
May 14, 2023
Authors
Shubhaansh Kumar
License

https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

Area covered
United States
Description

This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

There are 20 columns and 343 rows spanning 1990-04 to 2022-10

The columns are:

1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

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