In 2025, the United States had the largest economy in the world, with a gross domestic product of over 30 trillion U.S. dollars. China had the second largest economy, at around 19.23 trillion U.S. dollars. Recent adjustments in the list have seen Germany's economy overtake Japan's to become the third-largest in the world in 2023, while Brazil's economy moved ahead of Russia's in 2024. Global gross domestic product Global gross domestic product amounts to almost 110 trillion U.S. dollars, with the United States making up more than one-quarter of this figure alone. The 12 largest economies in the world include all Group of Seven (G7) economies, as well as the four largest BRICS economies. The U.S. has consistently had the world's largest economy since the interwar period, and while previous reports estimated it would be overtaken by China in the 2020s, more recent projections estimate the U.S. economy will remain the largest by a considerable margin going into the 2030s.The gross domestic product of a country is calculated by taking spending and trade into account, to show how much the country can produce in a certain amount of time, usually per year. It represents the value of all goods and services produced during that year. Those countries considered to have emerging or developing economies account for almost 60 percent of global gross domestic product, while advanced economies make up over 40 percent.

The average for 2023 based on 188 countries was 0.53 percent. The highest value was in the USA: 26.3 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.

The average for 2024 based on 177 countries was 3.2 percent. The highest value was in Guyana: 43.37 percent and the lowest value was in Palestine: -26.56 percent. The indicator is available from 1961 to 2024. Below is a chart for all countries where data are available.

In 1938, the year before the Second World War, the United States had, by far, the largest economy in the world in terms of gross domestic product (GDP). The five Allied Great Powers that emerged victorious from the war, along with the three Axis Tripartite Pact countries that were ultimately defeated made up the eight largest independent economies in 1938.

When values are converted into 1990 international dollars, the U.S. GDP was over 800 billion dollars in 1938, which was more than double that of the second largest economy, the Soviet Union. Even the combined economies of the UK, its dominions, and colonies had a value of just over 680 billion 1990 dollars, showing that the United States had established itself as the world's leading economy during the interwar period (despite the Great Depression).

Interestingly, the British and Dutch colonies had larger combined GDPs than their respective metropoles, which was a key motivator for the Japanese invasion of these territories in East Asia during the war. Trade with neutral and non-belligerent countries also contributed greatly to the economic development of Allied and Axis powers throughout the war; for example, natural resources from Latin America were essential to the American war effort, while German manufacturing was often dependent on Swedish iron supplies.

🧾 About Dataset

🌍 Global GDP by Country — 2024 Edition

📖 Overview

The Global GDP by Country (2024) dataset provides an up-to-date snapshot of worldwide economic performance, summarizing each country’s nominal GDP, growth rate, population, and global economic contribution.

This dataset is ideal for economic analysis, data visualization, policy modeling, and machine learning applications related to global development and financial forecasting.

📊 Dataset Information

• Total Records: 181 countries
• Time Period: 2024 (latest available global data)
• Geographic Coverage: Worldwide
• File Format: CSV
• File Size: ~10 KB
• Missing Values: None (100% complete dataset)

🎯 Target Use-Cases:
- Economic growth trend analysis
- GDP-based country clustering
- Per capita wealth comparison
- Share of world economy visualization

🧩 Key Features

📈 Statistical Summary

Population Overview

• Mean Population: 43.6 million
• Standard Deviation: 155.5 million
• Minimum Population: 9,816 (small island nations)
• Median Population: 9.1 million
• Maximum Population: 1.43 billion (China)

🌟 Highlights

💰 Top Economies (Nominal GDP):
United States, China, Japan, Germany, India

📈 Fastest Growing Economies:
India, Bangladesh, Vietnam, and Rwanda

🌐 Global Insights:
- The dataset covers 181 countries representing 100% of global GDP.
- Suitable for data visualization dashboards, AI-driven economic forecasting, and educational research.

💡 Example Use-Cases

• Build a choropleth map showing GDP distribution across continents.
• Train a regression model to predict GDP per capita based on population and growth.
• Compare economic inequality using population vs GDP share.

📚 Dataset Citation

Source: Worldometers — GDP by Country (2024)
Dataset compiled and cleaned by: Asadullah Shehbaz
For open research and data analysis.

Context

This dataset provides country-level GDP (Gross Domestic Product) in current US dollars from 2000 to 2025, mapped to the seven classic continents (Asia, Africa, Europe, North America, South America, Australia, and Antarctica). It is designed to make global economic data easier to explore, compare, and visualize by combining both geographic and temporal dimensions.

GDP is one of the most widely used indicators to measure the size of an economy, its growth trends, and relative economic performance across regions.

Source

Data Provider: World Bank Open Data

Indicator Used: NY.GDP.MKTP.CD → GDP (current US$)

License: World Bank Dataset Terms of Use (aligned with CC BY 4.0)

Note: 2024–2025 values may be incomplete or missing for some countries, depending on World Bank publication updates.

Dataset Structure

Name of country → Country name

Continent → One of the 7 continents

2000–2025 → GDP values in current US$ (float, may contain missing values NaN)

Format: wide panel data (one row per country, one column per year).

Inspiration & Use Cases

This dataset was prepared to make economic analysis, visualization, and forecasting more accessible. It can be used for:

• Time-series forecasting (predicting GDP growth into the future)
• Cross-country comparisons (e.g., comparing GDP trends of India vs. USA vs. Brazil)
• Continent-level aggregation (summing GDP by continent per year)
• Data visualization (heatmaps, line charts, world choropleths)
• Machine Learning applications (e.g., clustering countries by GDP trajectory)

Citation

If you use this dataset, please cite:

Source: World Bank, World Development Indicators (NY.GDP.MKTP.CD). Licensed under the World Bank Terms of Use.

This statistic shows the projected top ten largest national economies in 2050. By 2050, China is forecasted to have a gross domestic product of over ** trillion U.S. dollars.

The 12 aspects of economic freedom measured in the Index are grouped into four broad pillars:

Rule of law (property rights, judicial effectiveness, and government integrity);

Government size (tax burden, government spending, and fiscal health);

Regulatory efficiency (business freedom, labor freedom, and monetary freedom); and

Market openness (trade freedom, investment freedom, and financial freedom).

Rule of Law

Property Rights. In a fully functioning market economy, the ability to accumulate private property and wealth is a central motivating force for both workers and investors. Private property rights and an effective rule of law to protect them are vital features of any such economy. Secure property rights give citizens the confidence to undertake entrepreneurial activity, save their income, and make long-term plans because they know that their income, savings, and property (both real and intellectual) are safe from unfair expropriation or theft.

Property rights are a primary factor in the accumulation of capital for production and investment. Secure titling is key to unlocking the wealth embodied in real estate, making natural resources available for economic use, and providing collateral for investment financing. It is also by extending and protecting property rights that societies avoid the “tragedy of the commons”—the phenomenon that leads to the degradation and exploitation of property that is held communally and for which no one is accountable.

A key aspect of the protection of property rights is the enforcement of contracts. The voluntary undertaking of contractual obligations is the foundation of the market system and the basis for economic specialization, gains from commercial exchange, and trade among nations. Evenhanded government enforcement of private contracts is crucial to ensuring equity and integrity in the marketplace.

Judicial Effectiveness. Effective legal frameworks protect the rights of all citizens against infringement of the law by others, including infringement by governments and powerful parties. Judicial effectiveness requires efficient and fair judicial systems to ensure that laws are fully respected and appropriate legal actions are taken against violations.

Especially for developing countries, judicial effectiveness may be the area of economic freedom that is most important in laying the foundations**************************************** for economic growth. In advanced economies, deviations from judicial effectiveness may be the first signs of serious problems that will lead to economic decline.

There is abundant evidence from countries around the world that an honest, fair, and effective judicial system is a critical factor in empowering individuals, ending discrimination, and enhancing competition. In the never-ending struggle to improve the human condition and achieve greater prosperity, an institutional commitment to the preservation and advancement of judicial effectiveness is indispensable.

Government Integrity. In a world characterized by social and cultural diversity, practices that are regarded as corrupt in one place may simply reflect traditional interactions in another. For example, small informal payments to service providers or even government officials may be regarded as a normal means of compensation, a “tip” for unusually good service, or a corrupt form of extortion.

While such practices may indeed constrain an individual’s economic freedom, their impact on the economic system as a whole is likely to be modest. Of far greater concern is the systemic corruption of government institutions by such practices as bribery, nepotism, cronyism, patronage, embezzlement, and graft. Though not all of these practices are crimes in every society or circumstance, they all erode the integrity of government wherever they are found. By allowing some individuals or special interests to gain government benefits at the expense of others, they are grossly incompatible with the principles of fair and equal treatment that are necessary for an economically free society.

There is a direct relationship between the extent of government intervention in economic activity and the prevalence of corruption. In particular, excessive and redundant government regulations provide opportunities for bribery and graft, which in turn are detrimental to economic growth and development. In addition, government regulations or restrictions in one area may create informal or black markets in another. For example, by imposing such burdensome barriers to the conduct of business as including regulatory red tape and high transaction costs, a government can incentivize bribery and encourage illegitimate and secret interactions that compromise the transparency that is essential to the efficient functioning of a free market.

Government Size

Tax Burden. All govern...

The average for 2025 based on 174 countries was 60 index points. The highest value was in Singapore: 84 index points and the lowest value was in North Korea: 3 index points. The indicator is available from 1995 to 2025. Below is a chart for all countries where data are available.

The average for 2024 based on 177 countries was 27291 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Burundi: 836 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Overview

This dataset provides a comprehensive collection of time series data sourced from the World Bank Open Data Platform, covering a wide range of global indicators from 1960 to the most recently published year. It includes economic, social, environmental, and demographic metrics, making it an ideal resource for researchers, data scientists, and policymakers interested in global development trends, economic forecasting, or socio-economic analysis.

A tutorial on how to combined the dataset topics together into one large dataset can be found here

Why this Dataset?

My motivation for this project was to curate a high-quality collection of datasets for World Bank indicators organized by topics and structured in time-series, making them more accessible for data science projects. Since the World Bank’s Kaggle datasets have not been updated since 2019 https://www.kaggle.com/organizations/theworldbank, I saw an opportunity to provide more current data for the data analysis community.

Dataset Collection Contents

This collection brings together more than 800 World Bank indicators organized into 18 topic‑specific CSV files. Each file is structured as a country‑year panel: every row represents a unique combination of year (1960‑present) and ISO‑3 country code, while the columns hold the topic’s indicators.

The collection includes datasets with a variety of indicators, such as: - Economic Metrics: GDP growth (%), GDP per capita, consumer price inflation, merchandise trade, gross capital formation, and more.
- Social Metrics: School enrollment (primary, secondary, tertiary), infant mortality rate, maternal mortality rate, poverty headcount, and more.
- Environmental Metrics: Forest area, renewable energy consumption, food production indices, and more.
- Demographic Metrics: Urban population, life expectancy, net migration, and more.

Usage

This dataset is ideal for a variety of applications, including: - Economic forecasting and trend analysis (e.g., GDP growth, inflation).
- Socio-economic studies (e.g., education, health, poverty).
- Environmental impact analysis (e.g., renewable energy adoption).
- Demographic research (e.g., population trends, migration).

Topic datasets can be merged with each other using year and country code. This tutorial with notebook code can help you get started quickly.

Collection Methodology

The data is collected via a custom software application that discovers and groups high-quality indicators with rules-based logic & artificial intelligence, generates metadata, and performs ETL for the data from the World Bank API. The result is a clean, up‑to‑date collection of World Bank indicators in time-series format that is ready for analysis—no manual downloads or data wrangling required.

Modifications

The original World Bank data has been aggregated and transformed for ease of use. Missing values have been preserved as provided by the World Bank, and no significant transformations have been applied beyond formatting and aggregation into a single file.

Source & Attribution

The World Bank: World Development Indicators

This dataset is publicly available and sourced from the World Bank Open Data Platform and is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. When using this data, please attribute the World Bank as follows: "Data sourced from the World Bank, licensed under CC BY 4.0." For more details on the World Bank’s terms of use, visit: https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets.

License

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Feel free to use this data in Kaggle notebooks, academic research, or policy analysis. If you create a derived dataset or analysis, I encourage you to share it with the Kaggle community.

In 2025, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.3 trillion U.S. dollars, whereas Mexico's amounted to almost 1.8 trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

The average for 2025 based on 184 countries was 3.13 percent. The highest value was in Libya: 17.3 percent and the lowest value was in Equatorial Guinea: -4.2 percent. The indicator is available from 1980 to 2030. Below is a chart for all countries where data are available.

The average for 2023 based on 193 countries was -0.07 points. The highest value was in Liechtenstein: 1.61 points and the lowest value was in Syria: -2.75 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

Data Source: This dataset was compiled from multiple data sources

If this was helpful, a vote is appreciated ❤️ Thank you 🙂

This dataset combines economic and development indicators from two key sources:

1. World Bank Economic Indicators (1960–2018) Covers various economic performance metrics for countries worldwide, including:

   • Electricity consumption
   • GDP per capita
   • Population statistics
   • Life expectancy
   • And many other key development indicators

2. United Nations Human Development Index (HDI) Data (1990–2021) Supplementary data tracking human development, environmental impact, and inequality through composite metrics such as:

   • HDI score (combining life expectancy, GDP per capita, education)
   • Inequality indices
   • Environmental measures

Potential Analyses

• Identify countries with the highest growth in population and GDP and analyze overlaps.
• Explore which regions have experienced the most significant HDI improvements in the 21st century.
• Analyze factors most strongly correlated with life expectancy.
• Differentiate economic and social indicators between “High Income” and “Low Income” countries.

Source

Data sourced from The World Bank and United Nations (UN). Licensed under Public Domain.

This statistic shows the 20 countries with the highest growth of the gross domestic product (GDP) in 2024. In 2024, Guyana ranked 1st with an estimated GDP growth of approximately 43.57 percent compared to the previous year. GDP around the world Gross domestic product (GDP) is an indicator of the monetary value of all goods and services produced by a nation in a specific time period. GDP is a strong index of a country’s economic strength - the higher the GDP of a nation, the stronger that country’s economy. The countries in the world with the highest GDP or GDP per capita are mainly developed and emerging countries, with global gross domestic product amounting to nearly 75 trillion U.S. dollars. As of 2016, the United States is the nation in the world with the highest GDP with more than 18.56 trillion U.S. dollars, which makes up more than 15.7 percent of the global GDP. The countries with the lowest gross domestic product per capita in 2014 were mainly African nations. The country in the world with the lowest GDP per capita in 2016 was South Sudan, followed by Malawi, and Burundi. However, several economically struggling African and Asian countries such as Myanmar, Côte d'Ivoire, Bhutan, and India reported the highest growth of the gross domestic product in 2016. Also in the top 20 nations with the highest growth of the GDP is China. In 2016, the GDP in China was the second highest GDP in the world. It is estimated that by 2019 the GDP in China will grow by 6 percent. Based on this estimate, GDP in China will be at around 14.6 trillion U.S. dollars by 2019.