The Gross Domestic Product (GDP) in World was worth 111326.37 billion US dollars in 2024, according to official data from the World Bank. This dataset includes a chart with historical data for World GDP.

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.

This dataset provides key economic indicators for five of the world's largest economies, based on their nominal Gross Domestic Product (GDP) in 2022. It includes the GDP values, population, GDP growth rates, per capita GDP, and each country's share of the global economy.

Columns: Country: Name of the country. GDP (nominal, 2022): The total nominal GDP in 2022, represented in USD. GDP (abbrev.): The abbreviated GDP in trillions of USD. GDP growth: The percentage growth in GDP compared to the previous year. Population: Total population of each country in 2022. GDP per capita: The GDP per capita, representing average economic output per person in USD. Share of world GDP: The percentage of global GDP contributed by each country. Key Highlights: The dataset includes some of the largest global economies, such as the United States, China, Japan, Germany, and India. The data can be used to analyze the economic standing of countries in terms of overall GDP and per capita wealth. It offers insights into the relative growth rates and population sizes of these leading economies. This dataset is ideal for exploring economic trends, performing country-wise comparisons, or studying the relationship between population size and GDP growth.

This dataset contains information on the gross domestic product (GDP) of countries, regions, and the world, in current US dollars. The data is sourced from the World Bank, and includes GDP data from national accounts and OECD National Accounts data files. The dataset provides a normalized CSV format and includes data on different GDP indicators, such as GDP in current USD, GDP in constant USD (2000), GDP PPP (constant 2005 international $), and GDP in constant LCU.

This is a dataset for the Exploratory Data Analysis purpose of the GDP of every country in the world from the 1980s to 2023. This dataset can also be used to forecast the countries' GDPs for the year 2024. And don't forget to upvote😄.

Full Year GDP Growth in World remained unchanged at 2.90 percent in 2024 from 2.90 percent in 2023. This dataset includes a chart with historical data for World Full Year GDP Growth.

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

This is a data set of Countrywise Gross Domestic Product (GDP) from 2002 to 2016. This can be very useful for any data enthusiasts and people studying economics.

The Global 15x15 Minute Grids of the Downscaled GDP Based on the Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990 and 2025, are geospatial distributions of Gross Domestic Product (GDP) per Unit area (GDP densities). These global grids were generated using the Country-level GDP and Downscaled Projections Based on the SRES B2 Scenario, 1990-2100 data set, and CIESIN's Gridded Population of World, Version 2 (GPWv2) data set as the base map. First, the GDP per capita was developed at a country-level for 1990 and 2025. Then the gridded GDP was developed within each country by applying the GDP per capita to each grid cell of the GPW, under the assumption that the GDP per capita was uniform within a country. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

Monthly estimate of gross domestic product (GDP) containing constant price gross value added (GVA) data for the UK.

The GDP per capita for countries is shown in this dataset for the different years. This economic metric shows the economic output per person and determines the country’s situation based on its economic growth. This dataset can be used to analyze the prosperity of a country based on its economic growth. Countries with higher GDP per countries are determined to be developed whereas countries with low GDP per capita are determined to be developing countries. This dataset can be used to analyze a country’s wealth and prosperity.

Graph and download economic data for Gross Domestic Product for World (NYGDPMKTPCDWLD) from 1960 to 2024 about , and GDP.

Version history:This data are a new version of Geiger et al (2017, http:doi.org/10.5880/PIK.2017.003). Please use this updated version of this dataset which contains the following correction of errors in the original dataset: The linear interpolation in GDP per capita for Aruba (ABW) between observations in 2005 and SSP2 projections in 2010 was replaced by observed GDP per capita values for the years 2006-2009, as the SSP2 projection for Aruba turned out to be incorrect. As a result of this, the national GDP per capita and GDP timeseries for Aruba between 2006 and 2009 is different from the previous version. We here provide three different economic time series that amend or combine various existing time series for Gross Domestic Product (GDP), GDP per capita, and population to create consistent and continuous economic time series between 1850 and 2009 for up to 195 countries. All data, including the data description are included in a zip folder (2018-010_GDP_1850-2009_Data_v2.zip): (1) A continuous table of global income data (in 1990 Geary-Khamis $) based on the Maddison Project data base (MPD) for 160 individual countries and 3 groups of countries from 1850-2010: Maddison_Project_data_completed_1850-2010.csv. (2) A continuous table of global income data (in 2005 PPP $, PPP = purchasing power parity) for 195 countries based on a merged and harmonized dataset between MPD and Penn World Tables (PWT, version v8.1) from 1850-2009, and additionally extended using PWT v9.0 and World Development Indicators (WDI), that is consistent with future GDP per capita projections from the Shared Socioeconomic Pathways (SSPs): GDP-per-capita-national_PPP2005_SSP-harmonized_1850-2009_v2.csv. (3) A continuous table of global GDP data (in 2005 PPP $) for 195 countries from 1850-2009 based on the second income data set multiplied by country population data, again consistent with future SSP GDP projections: GDP-national_PPP2005_SSP-harmonized_1850-2009_v2.csv. These data are supplemented by a masking table indicating MPD original data and amended data based on current country definitions (Maddison_data_availability_masked_1850-2010.csv) and a file with PPP conversion factors used in this study (PPP_conversion_factors_PPP1990-PPP2005.csv). We use various interpolation and extrapolation methods to handle missing data and discuss the advantages and limitations of our methodology. Despite known shortcomings this data set aims to provide valuable input, e.g., for climate impact research in order to consistently analyze economic impacts from pre-industrial times to the distant future. More information about data sources and data format description is given in the data description file (2018-010_Data-Description-GDP_1850-2009_v2.pdf).

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.

Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

growth rate, Real, COVID-19, GDP

Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

Administrative unitsRepresents the administrative units used for GDP per capita (PPP) and HDI data products. National administrative units have id 1-999, sub-national ones 1001-admin_areas_GDP_HDI.ncGDP_per_capita_PPP_1990_2015The GDP per capita (PPP) dataset represents average gross domestic production per capita in a given administrative area unit. GDP is given in 2011 international US dollars. Gap-filled sub-national data were used, supplemented by national data where necessary. Datagaps were filled by using national temporal pattern. Dataset has global extent at 5 arc-min resolution for the 26-year period of 1990-2015. Detail description is given in a linked article and metadata is provided as an attribute in the NetCDF file itself.GDP_PPP_1990_2015_5arcminThis global dataset represents the gross domestic production (GDP) of each grid cell. GDP is given in 2011 international US dollars. The data is derived from GDP per capita (PPP) which is multiplied by gridded population data HYDE...

This dataset contains year-wise macroeconomic indicators for over 200 countries from 2010 to 2025, extracted programmatically using the World Bank Open Data API.

It includes key indicators critical for policy makers, economists, data scientists, and financial analysts. The data has been cleaned, structured, and exported as a CSV — making it ready for analysis, dashboards, and forecasting models.

📦 Included Indicators

• Inflation (Consumer Price Index %)
• GDP (Current USD)
• GDP per Capita
• GDP Growth (% Annual)
• Unemployment Rate
• Real Interest Rate
• Public Debt (% of GDP)
• Government Expense and Revenue
• Current Account Balance
• Gross National Income
• Tax Revenue

📊 Columns Overview

📈 Use Cases

• Economic trend visualization
• Country comparison dashboards
• Machine learning forecasting models
• Macroeconomic policy analysis

📡 Data Source

• API: World Bank Open Data
• Extracted using: Python, requests, pandas, SQLAlchemy

🧠 Ideal For

• Data scientists
• Policy researchers
• Students in economics or finance
• Kaggle forecasting competitions

✅ Format

• CSV format (UTF-8)
• 200+ countries × 15 years × 13 indicators = ~40,000+ rows

Historical dataset showing World gdp growth rate by year from 1961 to 2023.

This dataset is about countries in Europe. It has 44 rows. It features 2 columns including GDP.

World GDP, energy consumption, and population data