100+ datasets found
  1. US Financial Indicators - 1974 to 2024

    • kaggle.com
    zip
    Updated Nov 25, 2024
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    Abhishek Bhatnagar (2024). US Financial Indicators - 1974 to 2024 [Dataset]. https://www.kaggle.com/datasets/abhishekb7/us-financial-indicators-1974-to-2024
    Explore at:
    zip(15336 bytes)Available download formats
    Dataset updated
    Nov 25, 2024
    Authors
    Abhishek Bhatnagar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    U.S. Economic and Financial Dataset

    Dataset Description

    This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

    Key Features

    • Frequency: Monthly
    • Time Period: Last 50 years from Nov-24
    • Sources:
      • Federal Reserve Economic Data (FRED)
      • Yahoo Finance

    Dataset Feature Description

    1. Interest Rate (Interest_Rate):

      • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.
    2. Inflation (Inflation):

      • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.
    3. GDP (GDP):

      • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.
    4. Unemployment Rate (Unemployment):

      • The percentage of the labor force that is unemployed and actively seeking work.
    5. Stock Market Performance (S&P500):

      • Monthly average of the adjusted close price, representing stock market trends.
    6. Industrial Production (Ind_Prod):

      • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

    Dataset Statistics

    1. Total Entries: 599
    2. Columns: 6
    3. Memory usage: 37.54 kB
    4. Data types: float64

    Feature Overview

    • Columns:
      • Interest_Rate: Monthly Federal Funds Rate (%)
      • Inflation: CPI (All Urban Consumers, Index)
      • GDP: Real GDP (Billions of Chained 2012 Dollars)
      • Unemployment: Unemployment Rate (%)
      • Ind_Prod: Industrial Production Index (2017=100)
      • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

    Executive Summary

    This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

    The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

    Potential Use Cases

    • Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
    • Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
    • Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
    • Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

    Snap of Power Analysis

    imagehttps://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

    To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

    Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

    • Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
    • Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
    • Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
    • Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
    • Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

    Link to GitHub Repo

    https:/...

  2. Global Economic Indicators 2015 to 2024

    • kaggle.com
    zip
    Updated Sep 9, 2025
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    1! (2025). Global Economic Indicators 2015 to 2024 [Dataset]. https://www.kaggle.com/datasets/ibrahimqasimi/gobal-in
    Explore at:
    zip(4659 bytes)Available download formats
    Dataset updated
    Sep 9, 2025
    Authors
    1!
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    https://upload.wikimedia.org/wikipedia/commons/a/aa/World_Map.jpg" alt="World map graphic">

    Image credit: DATABASE – Computer Owner, “World Map,” Wikimedia Commons, CC BY 3.0.

    Overview

    Key macro indicators for 10 economies from 2015 to 2024. Countries: USA, CHN, JPN, DEU, IND, GBR, FRA, BRA, CAN, KOR.

    • Rows: 500
    • Columns: 4
    • Missing cells: 12 total in the value column
    • Format: long table by country, indicator, year

    File

    • global_economic_indicators_2015_2024.csv

    Indicators

    • NY.GDP.MKTP.CD - GDP in current USD
    • SP.POP.TOTL - Population total
    • SL.UEM.TOTL.ZS - Unemployment rate percent
    • FP.CPI.TOTL.ZG - Inflation rate percent
    • IT.NET.USER.ZS - Internet users percent

    Columns

    • country - ISO3 code
    • indicator - readable name as above
    • year - calendar year
    • value - numeric value, may be missing for some country-year cells

    Quick facts from EDA

    • Minimal missingness concentrated in value
    • Year range 2015 to 2024
    • Mixed scales: GDP is large in USD, other indicators are percentages
  3. 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
    Explore at:
    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.

  4. M

    Moldova Google Search Trends: Economic Measures: Short-Time Working

    • ceicdata.com
    Updated Sep 5, 2022
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    CEICdata.com (2022). Moldova Google Search Trends: Economic Measures: Short-Time Working [Dataset]. https://www.ceicdata.com/en/moldova/google-search-trends-by-categories
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    Dataset updated
    Sep 5, 2022
    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 18, 2025 - Nov 29, 2025
    Area covered
    Moldova
    Description

    Google Search Trends: Economic Measures: Short-Time Working data was reported at 0.000 Score in 29 Nov 2025. This stayed constant from the previous number of 0.000 Score for 28 Nov 2025. Google Search Trends: Economic Measures: Short-Time Working data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 29 Nov 2025, with 1460 observations. The data reached an all-time high of 100.000 Score in 06 Jul 2024 and a record low of 0.000 Score in 29 Nov 2025. Google Search Trends: Economic Measures: Short-Time Working data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Moldova – Table MD.Google.GT: Google Search Trends: by Categories.

  5. GDP annual growth rate in the EU 1996-2024

    • statista.com
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    Statista, GDP annual growth rate in the EU 1996-2024 [Dataset]. https://www.statista.com/statistics/1070317/eu-gdp-growth-rate/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, European Union
    Description

    In 2023, the gross domestic product in the European Union grew by 0.8 percent, as economic stagnation and high inflation caused by the Russia-Ukraine war impacted European economies. The European Commission forecasts that the European economy will have grown by 0.9 percent in 2024, continuing the trend registered in the previous year. This represents slow economic growth after the post-pandemic resurgence, yet avoids the recession many commentators warned the EU might slip into. Growth is forecast to increase again in 2025, climbing to 1.5 percent—a figure considered low by historical EU standards, excluding periods of economic crisis.

  6. Macroeconomic Indicators of Azerbaijan:2017 - 2024

    • kaggle.com
    Updated Dec 4, 2024
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    TJafarli (2024). Macroeconomic Indicators of Azerbaijan:2017 - 2024 [Dataset]. https://www.kaggle.com/datasets/tjafarli/macroeconomic-indicators-of-azerbaijan
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Kaggle
    Authors
    TJafarli
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Azerbaijan
    Description

    This dataset contains macroeconomic indicators of Azerbaijan for the period of 2017 to 2024. The data was sourced from the official website of the [State Statistical Committee of the Republic of Azerbaijan] It provides comprehensive figures related to the country's economic and social development, including gross domestic product (GDP), industry output, trade data, population statistics, and other key economic metrics. This dataset is ideal for: - Economic analysis and forecasting - Research on macroeconomic trends - Visualizations and data-driven storytelling - Machine learning models for predictive analysis of economic indicators

  7. U.S. real GDP growth rate 1990-2024

    • statista.com
    Updated Jul 31, 2025
    + more versions
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    Statista (2025). U.S. real GDP growth rate 1990-2024 [Dataset]. https://www.statista.com/statistics/188165/annual-gdp-growth-of-the-united-states-since-1990/
    Explore at:
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024 the real gross domestic product (GDP) of the United States increased by 2.8 percent compared to 2023.
    What does GDP growth mean? Essentially, the annual GDP of the U.S. is the monetary value of all goods and services produced within the country over a given year. On the surface, an increase in GDP therefore means that more goods and services have been produced between one period than another. In the case of annualized GDP, it is compared to the previous year. In 2023, for example, the U.S. GDP grew 2.5 percent compared to 2022. Countries with highest GDP growth rate Although the United States has by far the largest GDP of any country, it does not have the highest GDP growth, nor the highest GDP at purchasing power parity. In 2021, Libya had the highest growth in GDP, growing more than 177 percent compared to 2020. Furthermore, Luxembourg had the highest GDP per capita at purchasing power parity, a better measure of living standards than nominal or real GDP.

  8. Forecasted HICP inflation rate in the Eurozone by consumption category...

    • statista.com
    Updated Feb 11, 2025
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    Statista Research Department (2025). Forecasted HICP inflation rate in the Eurozone by consumption category 2023-2027 [Dataset]. https://www.statista.com/topics/11841/europe-economic-outlook-2024/
    Explore at:
    Dataset updated
    Feb 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    According to projections by staff of the Eurosystem - the group of central banks of countries which use the Euro as their currency - the annual inflation rate of the Eurozone is set to decline sharply, halving from 5.4 percent in 2023 to 2.1 percent in 2025, with more gradual declines in 2026 and 2027. This decline in the rate of increase of the price level in the Eurozone is being driven by comparatively low inflation in energy prices, which stands in sharp contrast to the situation of the EU in 2022, when the price of energy skyrocketed due to the sanctions placed on Russia in the aftermath of the invasion of Ukraine. Food price inflation - which was a key driver of inflation in 2023, standing at over 10 percent - is also contributing to the drop in the inflation rate, as a sharp fall to 3.0 percent is forecast for 2025.

  9. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. GDP growth forecast UK 2019-2029

    • statista.com
    Updated Apr 1, 2025
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    Statista Research Department (2025). GDP growth forecast UK 2019-2029 [Dataset]. https://www.statista.com/topics/6500/the-british-economy/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    In 2024, the gross domestic product (GDP) of the United Kingdom grew by 0.9 percent and is expected to grow by just one percent in 2025 and by 1.9 percent in 2026. Growth is expected to slow down to 1.8 percent in 2027, and then grow by 1.7, and 1.8 percent in 2027 and 2028 respectively. The sudden emergence of COVID-19 in 2020 and subsequent closure of large parts of the economy were the cause of the huge 9.4 percent contraction in 2020, with the economy recovering somewhat in 2021, when the economy grew by 7.6 percent. UK growth downgraded in 2025 Although the economy is still expected to grow in 2025, the one percent growth anticipated in this forecast has been halved from two percent in October 2024. Increased geopolitical uncertainty as well as the impact of American tariffs on the global economy are some of the main reasons for this mark down. The UK's inflation rate for 2025 has also been revised, with an annual rate of 3.2 percent predicated, up from 2.6 percent in the last forecast. Unemployment is also anticipated to be higher than initially thought, with the annual unemployment rate likely to be 4.5 percent instead of 4.1 percent. Long-term growth problems In the last two quarters of 2023, the UK economy shrank by 0.1 percent in Q3 and by 0.3 percent in Q4, plunging the UK into recession for the first time since the COVID-19 pandemic. Even before that last recession, however, the UK economy has been struggling with weak growth. Although growth since the pandemic has been noticeably sluggish, there has been a clear long-term trend of declining growth rates. The economy has consistently been seen as one of the most important issues to people in Britain, ahead of health, immigration and the environment. Achieving strong levels of economic growth is one of the main aims of the Labour government elected in 2024, although after almost one year in power it has so far proven elusive.

  11. F

    Gross Domestic Product

    • fred.stlouisfed.org
    • trends.sourcemedium.com
    json
    Updated Sep 25, 2025
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    (2025). Gross Domestic Product [Dataset]. https://fred.stlouisfed.org/series/GDP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

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

    Description

    View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

  12. Forecast real GDP growth rate in the U.S. 2020-2030

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Forecast real GDP growth rate in the U.S. 2020-2030 [Dataset]. https://www.statista.com/statistics/263614/gross-domestic-product-gdp-growth-rate-in-the-united-states/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Real gross domestic product (GDP) in the United States is expected to grow by just over two percent in 2025. Beyond that, growth is projected to ease, slipping from roughly 2.8 percent in 2024 to around 1.8 percent by 2030. The softer outlook points to an economy that is still expanding, but at a more subdued pace. Is U.S. debt sustainable? The U.S. economy continues to grapple with growing levels of public debt. The national debt is anticipated to reach approximately 122.5 percent of GDP in 2025, reflecting ongoing fiscal pressures. The U.S. is not alone in it high debt-to-GDP ratio. Other developed economies, including Japan, Singapore, and Italy, currently maintain even higher public debt burdens. Such levels could constrain future economic growth and narrow the range of policy options available to governments. Consumer sentiment in flux The University of Michigan’s Consumer Sentiment Index, a key gauge of confidence in the economy. In November 2025, it stood at 51, its lowest level since June 2022. Based on monthly surveys of households, it tracks consumers views on personal finances, buying conditions, and the broader economic climate.

  13. B

    Bulgaria Google Search Trends: Online Classroom: Zoom

    • ceicdata.com
    Updated Sep 5, 2022
    + more versions
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    CEICdata.com (2022). Bulgaria Google Search Trends: Online Classroom: Zoom [Dataset]. https://www.ceicdata.com/en/bulgaria/google-search-trends-by-categories
    Explore at:
    Dataset updated
    Sep 5, 2022
    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 13, 2024 - Nov 24, 2024
    Area covered
    Bulgaria
    Description

    Google Search Trends: Online Classroom: Zoom data was reported at 1.000 Score in 24 Nov 2024. This stayed constant from the previous number of 1.000 Score for 23 Nov 2024. Google Search Trends: Online Classroom: Zoom data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 24 Nov 2024, with 1090 observations. The data reached an all-time high of 3.000 Score in 21 Apr 2023 and a record low of 0.000 Score in 10 Nov 2024. Google Search Trends: Online Classroom: Zoom data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Bulgaria – Table BG.Google.GT: Google Search Trends: by Categories.

  14. DCMS Economic Estimates: Monthly GVA (to June 2024)

    • gov.uk
    Updated Aug 20, 2024
    + more versions
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    Department for Culture, Media and Sport (2024). DCMS Economic Estimates: Monthly GVA (to June 2024) [Dataset]. https://www.gov.uk/government/statistics/dcms-economic-estimates-monthly-gva-to-june-2024
    Explore at:
    Dataset updated
    Aug 20, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    Headline findings

    All level estimates in this release are presented in 2022 prices.

    DCMS sectors (excluding tourism)

    In June 2024, these early estimates show that GVA by DCMS sectors increased by around 0.5% compared to May 2024, while GVA by the UK as a whole was unchanged.

    Looking at the quarter as a whole, in the three months to June 2024, GVA by the included DCMS sectors is estimated to have grown by around 2% compared with the three months to March 2024, compared to the UK economy as a whole which is estimated to have grown by 0.6%.

    Since February 2020 (pre-pandemic), included DCMS sector GVA has grown at a faster rate than the UK as a whole at a 9% increase compared to 3% for the UK economy, though trends vary by sector.

    Released

    20 August 2024

    About this release

    The DCMS Sector total reported here includes civil society, creative industries, cultural sector, gambling and sport. Tourism is not included as the data is not yet available (see note in data table).

    Monthly estimates

    These Economic Estimates are Official Statistics, used to provide an estimate of the economic contribution of DCMS sectors, in terms of gross value added (GVA), for the period January 2019 to June 2024. This current release contains new figures for April to June 2024.

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

    You can use these estimates to:

    • Look at relative indicative changes in GVA over time for DCMS sectors and subsectors

    You should not use these estimates to:

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

    Data sources and technical information

    The estimates are calculated based on published ONS data sources including the Index of Services and Index of Production.

    These data sources provide an estimate of the monthly change in GVA for all UK industries. However, the data is only available for broader industry groups, whereas DCMS sectors are defined at a more detailed industrial level. For example, GVA for ‘cultural education’ (a sub-sector of the cultural sector within the DCMS sectors) is estimated based on the trend for all education. Sectors such as ‘cultural education’ may have been affected differently by COVID-19 compared to education in general. These estimates are also based on the composition of the economy in 2019. Overall, this means the accuracy of monthly GVA for DCMS sectors is likely to be lower for months in 2020 and 2021.

    The technical guidance contains further information about data sources, methodology, and the validation and accuracy of these estimates. The latest version of this guidance was published in November 2023.

    Content

    These statistics cover the contributions of the following sectors to the UK economy.

    DCMS Sectors:

    • civil society
    • creative industries
    • cultural sector
    • gambling
    • sport

    Users should note that there is overlap between DCMS sector definitions and that several cultural sector industries are simultaneously creative industries.

    Timely estimates of tourism GVA are not available at present, due to a lack of suitable data.

    Feedback and consultation

    We aim to continuously improve the quality of estimates and better meet user needs. We welcome feedback on this release. Feedback should be sent via email to evidence@dcms.gov.uk.

    Office for Statistics Regulation .

    Our statistical practice is regulated by the OSR. OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/the-code/">Code of Practice for Statistics that all producers of official statistics should adhere to.

    You are welcome to contact us directly with any comments about how we meet these standards by emailing evidence@dcms.gov.uk. Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the https://osr.statisticsauthority.gov.uk/">OSR website</

  15. DCMS Economic Estimates: Monthly GVA (to September 2024)

    • gov.uk
    Updated Nov 27, 2024
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    Department for Culture, Media and Sport (2024). DCMS Economic Estimates: Monthly GVA (to September 2024) [Dataset]. https://www.gov.uk/government/statistics/dcms-economic-estimates-monthly-gva-to-september-2024
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    These estimates are the first to include scheduled revisions from the Office for National Statistics (ONS) National Accounts Blue Book 2024. National Accounts Gross Value Added (GVA) estimates incorporate scheduled revisions as more data becomes available. These revisions have affected monthly GVA data back to the start of our series (2019) for many industries in DCMS sectors.

    We expect revisions to GVA in the National Accounts Blue Book 2024 to affect our annual GVA estimates too. Annual GVA is more robust than this monthly data, but the annual data currently available does not incorporate these revisions. To address this, we are bringing forward a tables-only update to our Annual GVA publication to 19 December 2024. A more complete release will follow in January 2025.

    Alongside these quarterly releases, we often sum monthly GVA to produce or update estimates for each calendar year. All of the data required to calculate these estimates is available in the published tables. At the time of publication, Blue Book revisions have not yet been applied to our more robust, annual GVA measure. We have not presented summed monthly data here this quarter to reduce the risk of confusion.

    Headline findings

    All level estimates in this release are presented in 2022 prices.

    DCMS sectors (excluding tourism)

    In September 2024, these early estimates indicate that GVA by DCMS sectors fell by around 1.0% compared to August 2024, while GVA by the UK as a whole fell by 0.1%.

    Looking at the quarter as a whole, in the three months to September 2024, GVA by the included DCMS sectors is estimated to have grown slightly by 0.2% compared with the three months to June 2024, while the UK economy as a whole is estimated to have grown slightly by 0.1%.

    Since February 2020 (pre-pandemic), these early estimates indicate that included DCMS sector GVA has grown at a slightly slower rate than the UK as a whole at a 2% increase compared to 3% for the UK economy, though trends vary by sector.

    Released

    27 November 2024

    About this release

    The DCMS Sector total reported here includes civil society, creative industries, cultural sector, gambling and sport. Tourism is not included as the data is not yet available (see note in data table).

    Monthly estimates

    These Economic Estimates are Official Statistics, used to provide an estimate of the economic contribution of DCMS sectors, in terms of gross value added (GVA), for the period January 2019 to September 2024. This current release contains first estimates for July to September 2024.

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

    You can use these estimates to:

    • look at relative indicative changes in GVA over time for DCMS sectors and subsectors

    You should not use these estimates to:

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

    Data sources and technical information

    The estimates are calculated based on published ONS data sources including the Index of Services and Index of Production.

    These data sources provide an estimate of the monthly change in GVA for all UK industries. However, the data is only available for broader industry groups, whereas DCMS sectors are defined at a more detailed industrial level. For example, GVA for ‘cultural education’ (a sub-sector of the cultural sector within the DCMS sectors) is estimated based on the trend for all education. Sectors such as ‘cultural education’ may have been affected differently by COVID-19 compared to education in general. These estimates are also based on the composition of the economy in 2022. Overall, this means the accuracy of monthly GVA for DCMS sectors is likely to be lower for months in 2020 and 2021.

    The technical guidance contains further information about data sources, methodology, and the validation and accuracy of these estimates. The latest version of this guidance was published in November 2023.

    Content

    These statistics cover the contributions of the following sectors to the UK economy.

    DCMS Sectors:

    • civil society
    • creative industries
    • cultural sector
    • gambling
    • sport

    Users should note that there is ove

  16. Globalization Index - economic globalization 2024

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Globalization Index - economic globalization 2024 [Dataset]. https://www.statista.com/statistics/268171/index-of-economic-globalization/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    Singapore was the leading country in the Globalization Index 2024 in the field of economic globalization. The 2024 edition of the index uses data from the year 2022. Belgium and the Netherlands followed in the places behind. The era of globalization The beginning of the current era of increasing economic globalization was signaled by the creation of the Bretton Woods institutions toward the end of the Second World War. These institutions acted as the foundation for the International Monetary Fund, World Bank and World Trade Organization. The institutions, and their modern equivalents, sought to reduce the barriers on international trade in goods, services and capital markets. In the decades following their inception international trade has skyrocketed to become a cornerstone of the international economy, as demonstrated by trends in global export volume of trade in goods from 1950. Economic globalization Countries that are perceived as more economically globalized are those with low tariffs on imports, more free-trade agreements, regulation that accommodates foreign investment and lower non-tariff barriers to trade such as safety regulations on imports. However, economic globalization fails to capture the entire picture in regards to globalization processes and their impact on countries. As such, analysts have placed attention on the social and political effects on globalization as seen in the index for social globalization and index for political organization. To see the combined results of the multiple globalization indexes see the Top 100 countries in the Globalization Index.

  17. T

    United States GDP Annual Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth-annual
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 2.10 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. F

    French Polynesia Google Search Trends: Online Classroom: Zoom

    • ceicdata.com
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    CEICdata.com, French Polynesia Google Search Trends: Online Classroom: Zoom [Dataset]. https://www.ceicdata.com/en/french-polynesia/google-search-trends-by-categories/google-search-trends-online-classroom-zoom
    Explore at:
    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 12, 2024 - Nov 23, 2024
    Area covered
    Polynesia, French Polynesia
    Description

    French Polynesia Google Search Trends: Online Classroom: Zoom data was reported at 0.000 Score in 23 Nov 2024. This records a decrease from the previous number of 2.000 Score for 22 Nov 2024. French Polynesia Google Search Trends: Online Classroom: Zoom data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 23 Nov 2024, with 1089 observations. The data reached an all-time high of 42.000 Score in 02 Feb 2022 and a record low of 0.000 Score in 23 Nov 2024. French Polynesia Google Search Trends: Online Classroom: Zoom data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s French Polynesia – Table PF.Google.GT: Google Search Trends: by Categories.

  19. Data from: Understanding Post-Pandemic Surprises in Inflation and the Labor...

    • clevelandfed.org
    Updated Jun 18, 2024
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    Federal Reserve Bank of Cleveland (2024). Understanding Post-Pandemic Surprises in Inflation and the Labor Market [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2024/ec-202411-understanding-postpandemic-surprises
    Explore at:
    Dataset updated
    Jun 18, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Since the COVID-19 pandemic, the United States has experienced sharply rising then falling inflation alongside persistent labor market imbalances. This Economic Commentary interprets these macroeconomic dynamics, as represented by the Beveridge and Phillips curves, through the lens of a macroeconomic model. It uses the structure of the model to rationalize the debate about whether the US economy can expect a hard or soft landing. The model is surprised by the resiliency of the labor market as the US economy experienced disinflation. We suggest that the model’s limited ability to capture this resiliency is a feature of using a linear model to forecast the historically unprecedented movements seen after the pandemic among inflation, unemployment, and vacancy rates. We explain how, by adjusting the model to mimic congestion in a tight labor market and greater wage and price flexibility in a high-inflation environment, as during the post-pandemic period, the model can then capture what has been a path consistent with a soft landing.

  20. R

    Economic Capital Modeling Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 2, 2025
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    Research Intelo (2025). Economic Capital Modeling Market Research Report 2033 [Dataset]. https://researchintelo.com/report/economic-capital-modeling-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Economic Capital Modeling Market Outlook



    According to our latest research, the Global Economic Capital Modeling market size was valued at $3.2 billion in 2024 and is projected to reach $8.9 billion by 2033, expanding at a robust CAGR of 12.1% during 2024–2033. The primary driver for this impressive growth is the escalating demand for advanced risk management frameworks across financial institutions worldwide, as they strive to comply with evolving regulatory standards and enhance decision-making capabilities. As organizations grapple with increasing market volatility and complex regulatory environments, the adoption of sophisticated economic capital modeling solutions is becoming indispensable for ensuring financial stability and optimizing capital allocation. This market is further propelled by the integration of artificial intelligence and machine learning technologies, which enable more accurate risk quantification and scenario analysis, thus empowering stakeholders to make data-driven decisions in an ever-changing economic landscape.



    Regional Outlook



    North America currently commands the largest share of the Economic Capital Modeling market, accounting for over 38% of total global revenue in 2024. This dominance is attributed to the region’s mature financial services sector, early adoption of cutting-edge financial technologies, and the presence of stringent regulatory frameworks such as Dodd-Frank and Basel III. Major financial institutions and insurance companies in the United States and Canada have heavily invested in economic capital modeling solutions to strengthen their risk management capabilities and ensure regulatory compliance. Additionally, North America’s well-established IT infrastructure and the presence of leading software vendors have accelerated the deployment of both on-premises and cloud-based modeling solutions, further consolidating the region’s leadership position in the global market.



    Asia Pacific is emerging as the fastest-growing region in the Economic Capital Modeling market, projected to register an impressive CAGR of 15.6% from 2024 to 2033. This rapid expansion is driven by the increasing digitization of banking and insurance sectors, coupled with rising awareness about the importance of robust risk management practices in emerging economies such as China, India, and Southeast Asia. Governments and regulatory bodies across the region are implementing more stringent capital adequacy norms, compelling financial institutions to adopt advanced economic capital modeling solutions. Furthermore, the influx of foreign direct investments, the proliferation of fintech startups, and the region’s large unbanked population are fueling demand for innovative risk management tools, positioning Asia Pacific as a key growth engine for the global market.



    In contrast, regions such as Latin America and the Middle East & Africa are witnessing gradual but steady adoption of economic capital modeling solutions. These emerging economies face unique challenges, including limited access to skilled professionals, underdeveloped IT infrastructure, and regulatory ambiguity. However, localized demand is rising as financial institutions in these regions seek to modernize their risk management frameworks and align with international regulatory standards. Policy reforms, government incentives, and collaborations with global technology providers are gradually overcoming adoption barriers, paving the way for incremental growth. Nonetheless, market penetration remains lower compared to developed regions, reflecting the need for targeted capacity-building initiatives and tailored solutions that address regional nuances.



    Report Scope





    <td&g

    Attributes Details
    Report Title Economic Capital Modeling Market Research Report 2033
    By Component Software, Services
    By Deployment Mode On-Premises, Cloud
    By Application
Share
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Abhishek Bhatnagar (2024). US Financial Indicators - 1974 to 2024 [Dataset]. https://www.kaggle.com/datasets/abhishekb7/us-financial-indicators-1974-to-2024
Organization logo

US Financial Indicators - 1974 to 2024

U.S. Economic and Financial Dataset

Explore at:
zip(15336 bytes)Available download formats
Dataset updated
Nov 25, 2024
Authors
Abhishek Bhatnagar
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Area covered
United States
Description

U.S. Economic and Financial Dataset

Dataset Description

This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

Key Features

  • Frequency: Monthly
  • Time Period: Last 50 years from Nov-24
  • Sources:
    • Federal Reserve Economic Data (FRED)
    • Yahoo Finance

Dataset Feature Description

  1. Interest Rate (Interest_Rate):

    • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.
  2. Inflation (Inflation):

    • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.
  3. GDP (GDP):

    • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.
  4. Unemployment Rate (Unemployment):

    • The percentage of the labor force that is unemployed and actively seeking work.
  5. Stock Market Performance (S&P500):

    • Monthly average of the adjusted close price, representing stock market trends.
  6. Industrial Production (Ind_Prod):

    • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

Dataset Statistics

  1. Total Entries: 599
  2. Columns: 6
  3. Memory usage: 37.54 kB
  4. Data types: float64

Feature Overview

  • Columns:
    • Interest_Rate: Monthly Federal Funds Rate (%)
    • Inflation: CPI (All Urban Consumers, Index)
    • GDP: Real GDP (Billions of Chained 2012 Dollars)
    • Unemployment: Unemployment Rate (%)
    • Ind_Prod: Industrial Production Index (2017=100)
    • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

Executive Summary

This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

Potential Use Cases

  • Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
  • Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
  • Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
  • Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

Snap of Power Analysis

imagehttps://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

  • Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
  • Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
  • Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
  • Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
  • Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

Link to GitHub Repo

https:/...

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