The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

For further details, please refer to https://datatopics.worldbank.org/world-development-indicators/

World Development Indicators Data is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

The World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.

Here's a list of the available indicators along with a list of the available countries.

For example, this data includes the life expectancy at birth from many countries around the world:

The dataset hosted here is a slightly transformed verion of the raw files available here to facilitate analytics.

This data package contains data on World Development Indicators on Population and Economy, Poverty and Shared Prosperity, People, Environment, Economy, States and Markets and Global links.

This selection includes data related to SPC member countries and territories for some of the indicators available in the original database published by the World Bank.

Find more Pacific data on PDH.stat.

A collection of datasets for economic, demographic, and population metrics for the Marshall Islands derived from the World Bank DataBank interface. DataBank is an analysis and visualisation tool that contains collections of time series data on a variety of topics. Data are derived from a series of databases such as: World Development Indicators; Statistical Capacity Indicators, Education Statistics, Gender Statistics, Health Nutrition and Population Statistics, and others

This dataset contains data from the World Development Indicators on Poverty and Shared Prosperity presenting indicators that measure progress toward the World Bank Group’s twin goals of ending extreme poverty by 2030 and promoting shared prosperity in every country in a sustainable manner.

World Development Indicators on information society published in 2013.

Source: The World Bank Dataset Name: World Development Indicators: information society Data source: International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates). Dataset url: http://wdi.worldbank.org/table/5.12#

This dataset contains the most current and accurate global development data available including national, regional and global estimates. Data has been collected from the early 1960’s to present and is updated regularly depending on new data available on the indicators. This time series data offers indicators such as agriculture and food security, climate change, population growth, economic growth, education, energy, natural Resources and many more. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Explore Saudi Arabia's education development indicators , including net attendance rates, literacy rates, teacher salaries, and more. Discover valuable insights and trends in education data for Saudi Arabia and other countries in the region.

UIS, attendance rate, literacy rate, teacher salaries, education indicators, net enrolment rate, drop-out rate, population, schooling

Saudi Arabia, Kuwait, Oman, Qatar, Bahrain, China, India

Follow data.kapsarc.org for timely data to advance energy economics research.

Note: © 2016 The World Bank Group, All Rights Reserved.Saudi Arabia education indicator related dataset from the world bank. There are over 1300 series in the dataset, we have selected those relevant to education category. Checkout other related dataset Population, Health and Employment in demographic category of our portal.Citation: "World Development Indicators| World Databank". Databank.worldbank.org. N.p., 2016. Web. 10 Mar. 2016.

Explore global financial development data including remittance inflows, bank assets, loans, insurance premiums, stock market indicators, and more. Analyze trends in India, Qatar, Saudi Arabia, and other countries with the World Bank dataset.

Remittance inflows to GDP, Foreign bank assets, Global leasing volume, Private debt securities, Bank Z-score, Loans requiring collateral, Stock price volatility, Bank cost to income ratio

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially recognized international sources. This database contains the most current and accurate global development data available and includes national, regional, and global estimates.

Data about World Development Indicators measured from 1960 to 2022, extracted from the World Bank database. It includes macro-economical, social, political and environmental data from all the countries and regions the world bank has data about.

It contains information about 268 countries and regions, including 48 features, all numerical. Several entries are missing for different reasons, so you may want to extract only the columns you are interested in.

The columns included in this dataset are:

• country: The country or geographic region.
• date: Date of the measurement. This column along with country can be used as index.
• agricultural_land%: Agricultural land as a % of land area of the country/region.
• forest_land%: Forest area as the % of land area of the country/region.
• land_area: Land area, measured in km^2.
• avg_precipitation: Average precipitation in depth, measured in mm per year.
• trade_in_services%: Trade in services as a % of GDP.
• control_of_corruption_estimate: Index that makes an estimate of the control of corruption.
• control_of_corruption_std: Standard error of the estimate of control of corruption.
• access_to_electricity%: Percentage of the population that has access to electricity.
• renewvable_energy_consumption%: Renewable energy consumption as a % of total final energy consumption.
• electric_power_consumption: Electric power consumption, measured in kWh per capita.
• CO2_emisions: CO2 emisions measured in kt.
• other_greenhouse_emisions: Total greenhouse gas emissions, measured in kt of CO2 equivalent.
• population_density: Population density, measured in people per km^2 of land area.
• inflation_annual%: Inflation, consumer prices, as annual %.
• real_interest_rate: Real interest rate (%).
• risk_premium_on_lending: Risk premium on lending (lending rate minus treasury bill rate, %).
• research_and_development_expenditure%: Research and development expenditure, as a percentage of GDP.
• central_goverment_debt%: Central government debt, total , as a % of GDP.
• tax_revenue%: Tax revenue as a % of GDP.
• expense%: Expense as a % of GDP.
• goverment_effectiveness_estimate: Index that makes an estimate of the Government Effectiveness.
• goverment_effectiveness_std: Standard error of the estimate of Government Effectiveness.
• human_capital_index: Human Capital Index (HCI) (scale 0-1).
• doing_business: Ease of doing business score (0 = lowest performance to 100 = best performance).
• time_to_get_operation_license: Days required to obtain an operating license.
• statistical_performance_indicators: Statistical performance indicators (SPI): Overall score (scale 0-100).
• individuals_using_internet%: Percentage of population using the internet.
• logistic_performance_index: Logistics performance index: Overall (1=low to 5=high).
• military_expenditure%: Military expenditure as a % of GDP.
• GDP_current_US: GDP (current US$).
• political_stability_estimate: Index that makes an estimate of the Political Stability and Absence of Violence/Terrorism.
• political_stability_std: Standard error of the estimate of Political Stability and Absence of Violence/Terrorism.
• rule_of_law_estimate: Index that makes an estimate of the Rule of Law.
• rule_of_law_std: Standard error of the estimate of Rule of Law.
• regulatory_quality_estimate: Index that makes an estimate of Regulatory Quality.
• regulatory_quality_std: Standard error of the estimate of Regulatory Quality.
• government_expenditure_on_education%: Government expenditure on education, total, as a % of GDP.
• government_health_expenditure%: Domestic general government health expenditure as a % of GDP.
• multidimensional_poverty_headcount_ratio%: Multidimensional poverty headcount ratio (% of total population).
• gini_index: Gini index.
• birth_rate: Birth rate, crude (per 1,000 people).
• death_rate: Death rate, crude (per 1,000 people).
• life_expectancy_at_birth: Life expectancy at birth, total (years).
• population: Total population.
• rural_population: Rural population.
• voice_and_accountability_estimate: Index that makes an estimate of Voice and Accountability.
• voice_and_accountability_std: Standard error of the estimate of Voice and Accountability.
• intentional_homicides: Intentional homicides (per 100,000 people).

Graph and download economic data for Constant GDP per capita for Low and Middle Income Countries (NYGDPPCAPKDLMY) from 1960 to 2024 about per capita, income, and GDP.

The World Bank data published using the Linked Data design principles. Contains statistical observations and code lists from World Development Indicators, World Bank Finances, World Bank Projects and Operations, and World Bank Climate Change data.

Africa Development Indicators (ADI) provides the most detailed collection of development data on Africa, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

Abstract

Key components of the WFSO database cover the prevalence of severe food insecurity, including estimates for countries lacking official data, population sizes of the severely food insecure, and required safety net financing. Data is presented in a user-friendly format.

WFSO data primarily relies on hunger and malnutrition data from the State of Food Security and Nutrition in the World (SOFI) report, led by the Food and agriculture Organization (FAO) in collaboration with multiple UN agencies. WFSO complements SOFI data by providing estimates for unreported countries. Historical estimates are produced with a machine learning model leveraging World Development Indicators (WDI) for global coverage.

Financing needs for safety nets are calculated similarly to past approaches by the International Development Association (IDA) to assess food insecurity response needs (IDA (2020) and IDA (2021)). Preliminary estimates and projections rely on the same model and incorporate International Monetary Fund (IMF)'s World Economic Outlook (WEO) growth and inflation forecasts. WEO data reflects the IMF's expert analysis from various sources, including government agencies, central banks, and international organizations.

Minor gaps in WDI data inflation data are replaced with unofficial WEO estimates. Minor inflation data gaps not covered by both, are replaced with unofficial inflation estimates from the World Bank's Real Time Food Prices (RTFP) data.

The WFSO is updated three times a year, coinciding with IMF's WEO and SOFI releases. It provides food security projections that align with economic forecasts, aiding policymakers in integrating food security into economic planning.

The WFSO database serves various purposes, aiding World Bank economists and researchers in economic analysis, policy recommendations, and the assessment of global financing needs to address food insecurity.

Additionally, the WFSO enhances transparency in global food security data by tracking regional and global figures and breaking them down by individual countries. Historical estimates support research and long-term trend assessments, especially in the context of relating outlooks to past food security crises.

Geographic coverage

World

Geographic coverage notes

191 countries and territories mutually included by the World Bank's WDI and IMF's WEO databases. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations.

Analysis unit

Country

Kind of data

Process-produced data [pro]

Labor force with advanced education (% of total working-age population with advanced education) in Argentina was reported at 80.3 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - Labor force with advanced education (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Private Sector, Public Sector, Social Development, Urban Development, Gender, Climate Change, External Debt.