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

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.

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.

DMPED is using economic data to drive positive change and build good government for District of Columbia residents. They are focusing on collecting and compiling information about the city, in particular on D.C.’s economic development priorities that create more pathways to the middle class: jobs, quality affordable housing, and community-focused development.This site is an online version of the Deputy Mayor for Planning and Economic Development’s weekly dashboard. This dashboard is also transmitted to the City Administrator, the Mayor, and other senior staff, so they can be aware of economic trends and context. It includes only data that is public, so certain indicators that DMPED uses are not included.

Diffusion Index in Japan

The purpose of the Business Watchers Survey is to obtain an accurate and prompt understanding of economic trends in each region with the cooperation of those in a position to observe movements closely related to the local economy, and to provide basic data for making decisions on economic trends.
The survey is conducted from the 25th of each month to the end of the month among 2,050 respondents in 12 regions of the country, selected from appropriate occupations in industries where they can observe phenomena that sensitively reflect trends in representative economic activity items, such as household trends, business trends and employment.
The survey items are: the current condition and outlook of the economy (two to three months ahead compared to the current situation).

Page describes the U.S. Department of Transportation, Bureau of Transportation Statistics' Transportation Economic Data offerings.

TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

United States RMI: South: Market Outlook Compared to Three Months Ago data was reported at 64.000 Point in Jun 2020. This records an increase from the previous number of 21.000 Point for Mar 2020. United States RMI: South: Market Outlook Compared to Three Months Ago data is updated quarterly, averaging 42.500 Point from Mar 2020 (Median) to Jun 2020, with 2 observations. The data reached an all-time high of 64.000 Point in Jun 2020 and a record low of 21.000 Point in Mar 2020. United States RMI: South: Market Outlook Compared to Three Months Ago data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB067: Remodelling Market Index (New Methodology).

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

https://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:/...

Monthly and long-term Vietnam economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

Cost of fuel for transportation by year and type. Annual price is average of monthly values.

The Ontario Economic Accounts (OEA) is a quarterly public document that provides a detailed assessment of the current state of the Ontario economy. This dataset, spanning from January 1, 1981, to June 30, 2024, is based on data from Statistics Canada and offers comprehensive insights into various economic indicators. The OEA is primarily used by economists in both public and private sectors, as well as credit rating agencies, to understand and analyze the economic health of Ontario.

Key Features

• Economic Indicators: The dataset includes a wide range of economic indicators, providing a complete picture of the Ontario economy.
• Historical Data: Data is available from 1981 to 2024, offering a long-term perspective on economic trends and performance.
• Geographical Focus: Data is specific to Ontario, providing insights into provincial economic trends and patterns.
• Comprehensive Coverage: Includes key metrics such as asset groups and historical data, offering a robust foundation for economic analysis.

Potential Uses

• Economic Analysis: Assist in understanding the economic dynamics of Ontario, which is crucial for economic forecasting and planning.
• Policy Analysis: Support policymakers in monitoring and adjusting economic policies based on current and historical trends.
• Investment Decisions: Provide insights into optimal investment strategies for businesses and investors.
• Academic Research: Enable researchers to explore long-term economic trends and their implications for the province.
• Strategic Planning: Inform strategic planning for businesses and policymakers by providing a clear snapshot of current economic conditions and trends.

London’s Economic Outlook is GLA Economics’ London forecast. The forecasts are issued every six months to assist those preparing planning projections for London in the medium term. The report contains the following:

• An overview of recent economic conditions in London, the UK and the world economies with analysis of important events, trends and risks to short and medium-term growth.
• The ‘consensus forecast’ – a review of independent forecasts indicating the range of views about London’s economy and the possible upside and downside risk. In this context, ‘consensus forecast’ refers to the average of the independent forecasters (Cambridge Econometrics, The Centre for Economic and Business Research, Experian Economics, and Oxford Economics)
• The GLA Economics forecast for output, employment, household expenditure and household income in London.

Provided below are links to the current and previous versions of GLA Economics' medium term forecast for the level and growth rate of London's GVA, employment, household income and household expenditure. Forecasts for the growth and level of employment and GVA for selected sectors of the economy are also included.

• All output variables are measured in terms of output at basic prices. The price base for the latest dataset is 2011.
• All growth rates are in percentage change per annum.
• All employment levels are in millions.
• All output levels are in £bn.

This paper summarises the latest evidence and analysis on the impacts of COVID-19 on London’s economy so far and on the economic outlook so that key actors and stakeholders engaged in responding to the pandemic can have a readily available evidence base to inform policy responses.

The net outlook score reported for Indonesian business experts is the highest of all surveyed countries in Q4 2019. See the economic satisfaction score of the countries for information on how satisfied the experts are with the current economic situation of their respective countries. The Global Economic Outlook Score Each quarter, Statista in cooperation with Atheneum asks business professionals in countries worldwide to report on their satisfaction with the current economic situation of their country and the overall economic outlook for the next 6 months. They are also asked for their current satisfaction and outlook for individual categories: employment rate, consumer demand and confidence, strength of the local currency, international trade, political stability, economic stability and capital expenditure and investments. The experts who participate are generally businesspeople in leading positions at their companies and have at least ten years of experience. They are recruited through the Atheneum expert network. Net scores capture a balanced view of the entire economy The expert evaluations are converted into net scores by subtracting the share of negative evaluations from the share of positive evaluations. To create the overall Global Scores each countries scores are weighted by their GDP, the average of which provides the Global Satisfaction Score and the Global Outlook Score.

Monthly and long-term Korea economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

United States RMI: Northeast: Market Outlook Compared to Three Months Ago data was reported at 74.000 Point in Jun 2020. This records an increase from the previous number of 32.000 Point for Mar 2020. United States RMI: Northeast: Market Outlook Compared to Three Months Ago data is updated quarterly, averaging 53.000 Point from Mar 2020 (Median) to Jun 2020, with 2 observations. The data reached an all-time high of 74.000 Point in Jun 2020 and a record low of 32.000 Point in Mar 2020. United States RMI: Northeast: Market Outlook Compared to Three Months Ago data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB067: Remodelling Market Index (New Methodology).

Google Mobility Changes: Parks: United States: New Jersey: Union County data was reported at 31.000 % in 30 Sep 2022. This records a decrease from the previous number of 53.000 % for 29 Sep 2022. Google Mobility Changes: Parks: United States: New Jersey: Union County data is updated daily, averaging 49.000 % from Feb 2020 (Median) to 30 Sep 2022, with 920 observations. The data reached an all-time high of 241.000 % in 04 Jul 2022 and a record low of -68.000 % in 01 Feb 2021. Google Mobility Changes: Parks: United States: New Jersey: Union County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

Nighttime Lights Economic Indicators Market Outlook

According to our latest research, the Global Nighttime Lights Economic Indicators market size was valued at $2.1 billion in 2024 and is projected to reach $7.8 billion by 2033, expanding at a robust CAGR of 15.2% during 2024–2033. One of the primary drivers fueling this remarkable growth is the increasing reliance on real-time, objective data for economic analysis and urban development, especially as satellite and remote sensing technologies become more accessible and sophisticated. Nighttime lights data, derived from satellite and aerial imagery, has emerged as a crucial proxy for economic activity, infrastructure development, and disaster response, empowering governments, financial institutions, and urban planners to make more informed decisions in an ever-evolving global landscape.

Regional Outlook

North America currently holds the largest share of the Nighttime Lights Economic Indicators market, accounting for approximately 38% of the global value in 2024. This dominance is attributed to the region’s mature technological infrastructure, strong investment in satellite and remote sensing capabilities, and a well-established ecosystem of data analytics firms. The United States, in particular, benefits from robust federal and state-level initiatives supporting geospatial data utilization for urban planning, economic forecasting, and disaster management. The presence of major space agencies and private satellite operators further enhances data availability and quality, enabling a wide spectrum of end-users, from government agencies to financial institutions, to leverage nighttime lights as a reliable economic indicator. Additionally, North America's advanced regulatory frameworks and public-private partnerships have fostered a climate ripe for innovation and early adoption of cutting-edge geospatial analytics solutions.

The Asia Pacific region is anticipated to be the fastest-growing market for Nighttime Lights Economic Indicators, with a projected CAGR of 18.7% from 2024 to 2033. This acceleration is driven by rapid urbanization, burgeoning smart city initiatives, and significant investments in satellite and remote sensing technologies across countries such as China, India, and Japan. Governments and urban planners in the region are increasingly leveraging nighttime lights data to address challenges related to infrastructure development, population migration, and environmental monitoring. The proliferation of low-cost satellite launches and the expansion of national space programs have democratized access to high-resolution imagery, while regional collaborations and public-private partnerships are catalyzing the integration of geospatial analytics into mainstream economic planning. Furthermore, the Asia Pacific’s growing research community and technology startups are contributing to the development of innovative applications, further propelling market growth.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing Nighttime Lights Economic Indicators, although adoption is tempered by challenges such as limited technical expertise, data accessibility issues, and inconsistent regulatory support. Nevertheless, there is a growing recognition of the value that satellite-derived economic indicators can bring to addressing localized challenges such as informal settlements, disaster response, and resource allocation. In Africa, for instance, nighttime lights data is increasingly used to monitor electrification progress and urban expansion. Latin American countries are leveraging such indicators for disaster management and urban planning, particularly in regions prone to natural calamities. While these regions currently account for a smaller share of the global market, targeted policy reforms, international collaborations, and investments in capacity building are expected to accelerate adoption, bridging the gap between developed and developing markets.

Report Scope

Contribution of industries to the economy and their use of transportation services to produce goods and services, including number of person employed in transportation occupations.