Content

Providing daily updates on global economic developments with coverage of high-income as well as developing countries. Data updates are provided for exchange rates, equity markets, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production, and merchandise trade.

Context

This Global Economic Monitor dataset provides worldwide economic updates. It covers exchange rates, equity markets, and emerging market bonds daily. Plus, get monthly insights on consumer prices, high-tech markets, industrial production, and trade trends.

Acknowledgment

The primary dataset was retrieved from the World Bank Group's Data Catalog. I would like to express our sincere appreciation to the World Bank for providing the core data used in this dataset.

©️ Image credit: Freepik

The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries.

Description:

This dataset provides key economic indicators from various countries between 2010 and 2023. The dataset includes monthly data on inflation rates, GDP growth rates, unemployment rates, interest rates, and stock market index values. The data has been sourced from reputable global financial institutions and is suitable for economic analysis, machine learning models, and forecasting economic trends.

Data Sources:

The data has been generated to simulate real-world economic conditions, mimicking information from trusted sources like: - World Bank for GDP growth and inflation data - International Monetary Fund (IMF) for macroeconomic data - OECD for labor market statistics - National Stock Exchanges for stock market index values

Columns:

1. Date: The specific date (in Year/Month/Day format) representing when the data was collected.
2. Country: The country the data pertains to (e.g., USA, Germany, Japan).
3. Inflation Rate (%): The rate of inflation for that country, showing how fast prices for goods and services are increasing.
4. GDP Growth Rate (%): The percentage growth of the country’s Gross Domestic Product (GDP), indicating economic expansion or contraction.
5. Unemployment Rate (%): The percentage of the working-age population that is unemployed.
6. Interest Rate (%): The central bank's interest rate, used to control inflation and influence the economy.
7. Stock Index Value: The value of the country’s main stock market index, reflecting the performance of the stock market.

Potential Uses: - Economic Analysis: Researchers and analysts can use this dataset to study trends in inflation, GDP growth, unemployment, and other economic factors. - Machine Learning: This dataset can be used to train models for predicting economic trends or market performance. Financial Forecasting: Investors and economists can leverage this data for forecasting market movements based on economic conditions. - Comparative Studies: The dataset allows comparisons across countries and regions, offering insights into global economic performance.

United States CSI: Economic Outlook 12 Months data was reported at 123.000 1966=100 in Sep 2018. This records an increase from the previous number of 118.000 1966=100 for Aug 2018. United States CSI: Economic Outlook 12 Months data is updated monthly, averaging 105.000 1966=100 from Jan 1978 (Median) to Sep 2018, with 489 observations. The data reached an all-time high of 165.000 1966=100 in Jan 2000 and a record low of 31.000 1966=100 in Feb 2009. United States CSI: Economic Outlook 12 Months data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s United States – Table US.H025: Consumer Sentiment Index. The question was: Now turning to business conditions in the country as a whole -- do you think that during the next 12 months we'll have good times financially or bad times or what?

In most years since 1980, global GDP growth has been relatively consistent, generally fluctuating between two and five percent growth from year to year. The most notable exceptions to this were during the Great Recession in 2009, and again in 2020 during the Covid-19 pandemic, where the global economy actually shrank in both of these years. As the world economy continues to deal with the economic impact of the pandemic, as well as the fallout from Russia's invasion of Ukraine in 2022, the future remains uncertain, however current estimates suggest that annual growth will return to steady figures of around 3 percent in 2030.

This dataset provides a historical overview of key global indicators, including Gross Domestic Product (GDP), population growth, and CO2 emissions. It captures economic trends, demographic shifts, and environmental impacts over multiple decades, making it useful for researchers, analysts, and policymakers.

The dataset includes Real GDP (inflation-adjusted), allowing for economic trend analysis while accounting for inflation effects. Additionally, it incorporates CO2 emissions data, enabling studies on the relationship between economic growth and environmental impact.

This dataset is valuable for multiple research areas:

✅ Macroeconomic Analysis – Study global economic growth, recessions, and recovery trends.

✅ Inflation & Monetary Policy – Compare nominal vs. real GDP to assess inflationary trends.

✅ Climate Change Research – Analyze CO2 emissions alongside economic growth to identify sustainability challenges.

✅ Predictive Modeling – Train machine learning models for forecasting GDP, population, or emissions.

✅ Public Policy & Development – Evaluate the impact of economic and environmental policies over time.

This dataset is shared for educational and analytical purposes only.

"The International Economic Dynamics Index" includes statistical values of industrial production, unemployment rate, wholesale price, consumer price, central bank discount rate, basic interest rate, commodity trade, and foreign exchange reserves for the latest 10 years and the latest 2 years of each month.

United States CEO Economic Outlook Index data was reported at 109.300 % in Sep 2018. This records a decrease from the previous number of 111.100 % for Jun 2018. United States CEO Economic Outlook Index data is updated quarterly, averaging 84.700 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 118.600 % in Mar 2018 and a record low of -5.000 % in Mar 2009. United States CEO Economic Outlook Index data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s United States – Table US.S018: CEO Economic Outlook Survey.

CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

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.

Dataset

This dataset was created by Anosike Emmanuel

Released under Apache 2.0

Contents

United States Company's U.S. Employment: Next 6 Months: Number Change data was reported at 30.000 % in Sep 2018. This records an increase from the previous number of 29.000 % for Jun 2018. United States Company's U.S. Employment: Next 6 Months: Number Change data is updated quarterly, averaging 41.500 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 52.000 % in Sep 2003 and a record low of 21.000 % in Mar 2009. United States Company's U.S. Employment: Next 6 Months: Number Change data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s United States – Table US.S018: CEO Economic Outlook Survey.

The OECD Economic Outlook analyses the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in selected non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available.

The database contains annual data (for all variables) and quarterly figures (for a subset of variables). Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD databases such as Quarterly National Accounts, Annual National Accounts, Labour Force Statistics and Main Economic Indicators.

Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for selected non-OECD economies. Thus, besides OECD and the OECD Euro Area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.

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

Palau Google Search Trends: Online Training: Udemy data was reported at 0.000 Score in 15 May 2025. This stayed constant from the previous number of 0.000 Score for 14 May 2025. Palau Google Search Trends: Online Training: Udemy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 15 May 2025, with 1262 observations. The data reached an all-time high of 100.000 Score in 22 Oct 2023 and a record low of 0.000 Score in 15 May 2025. Palau Google Search Trends: Online Training: Udemy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Palau – Table PW.Google.GT: Google Search Trends: by Categories.

United States Google Search Trends: Computer & Electronics: Apple data was reported at 51.000 Score in 14 May 2025. This records a decrease from the previous number of 57.000 Score for 13 May 2025. United States Google Search Trends: Computer & Electronics: Apple data is updated daily, averaging 49.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 09 Sep 2024 and a record low of 0.000 Score in 15 Mar 2023. United States Google Search Trends: Computer & Electronics: Apple data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s United States – Table US.Google.GT: Google Search Trends: by Categories.

Sudan Google Search Trends: Economic Measures: Mortgage Loan data was reported at 0.000 Score in 30 Nov 2025. This stayed constant from the previous number of 0.000 Score for 29 Nov 2025. Sudan Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 30 Nov 2025, with 1461 observations. The data reached an all-time high of 100.000 Score in 25 Apr 2024 and a record low of 0.000 Score in 30 Nov 2025. Sudan Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Sudan – Table SD.Google.GT: Google Search Trends: by Categories.

United States Google Search Trends: Government Measures: Unemployment Benefits data was reported at 10.000 Score in 15 May 2025. This stayed constant from the previous number of 10.000 Score for 14 May 2025. United States Google Search Trends: Government Measures: Unemployment Benefits data is updated daily, averaging 11.000 Score from Dec 2021 (Median) to 15 May 2025, with 1262 observations. The data reached an all-time high of 90.000 Score in 09 Jan 2023 and a record low of 0.000 Score in 21 Apr 2023. United States Google Search Trends: Government Measures: Unemployment Benefits data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s United States – Table US.Google.GT: Google Search Trends: by Categories.

Google Search Trends: Online Training: Coursera data was reported at 1.000 Score in 29 Nov 2025. This stayed constant from the previous number of 1.000 Score for 28 Nov 2025. Google Search Trends: Online Training: Coursera 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 14.000 Score in 12 Feb 2022 and a record low of 0.000 Score in 17 Nov 2025. Google Search Trends: Online Training: Coursera data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Hungary – Table HU.Google.GT: Google Search Trends: by Categories.

Google Search Trends: Online Training: Coursera 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: Online Training: Coursera 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 91.000 Score in 30 May 2024 and a record low of 0.000 Score in 29 Nov 2025. Google Search Trends: Online Training: Coursera data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Marshall Islands – Table MH.Google.GT: Google Search Trends: by Categories.