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.

The World Bank's Gender Data Portal makes the latest gender statistics accessible through compelling narratives and data visualizations to improve the understanding of gender data and facilitate analyses that inform policy choices.

They include:

• Population
• SDGs
• Children 0-14
• Youth 15-24
• Assets
• Education
• Employment and Time Use
• Entrepreneurship
• Environment
• Health
• Leadership
• Norms and Decision-making
• Technology
• Violence

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

The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the IDA Statement of Credits and Grants. The World Bank complies with all sanctions applicable to World Bank
transactions.

Quarterly updates for condensed balance sheets. Dataset based on unaudited data. Values are in millions of US$ equivalent, rounded to 2 decimal places.
Our goal is to make raw data publicly available in open data format as soon as it is approved for public release through other channels, please refer to the official versions: http://documents.worldbank.org/curated/en/docsearch/collection-title/World%2520Bank%2520financial%2520statements?colT=World%2520Bank%2520financial%2520statements (IBRD/IDA), http://www.ifc.org/wps/wcm/connect/topics_ext_content/ifc_external_corporate_site/ifc+finance/investor+information/financial+statements (IFC) and https://www.miga.org/resources/reports/annual-reports/ (MIGA).

The Atlas of Sustainable Development Goals 2018 is a visual guide to the trends, challenges and measurement issues related to each of the 17 Sustainable Development Goals. The Atlas features maps and data visualizations, primarily drawn from World Development Indicators (WDI) - the World Bank’s compilation of internationally comparable statistics about global development and the quality of people’s lives. Given the breadth and scope of the SDGs, the editors have been selective, emphasizing issues considered important by experts in the World Bank’s Global Practices and Cross Cutting Solution Areas. Nevertheless, The Atlas aims to reflect the breadth of the Goals themselves and presents national and regional trends and snapshots of progress towards the UN’s seventeen Sustainable Development Goals related to: poverty, hunger, health, education, gender, water, energy, jobs, infrastructure, inequalities, cities, consumption, climate, oceans, the environment, peace, institutions, and partnerships.

Citation
“World Bank. 2018. Atlas of Sustainable Development Goals 2018 : From World Development Indicators. World Bank Atlas;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/29788 License: CC BY 3.0 IGO.”

URI
http://hdl.handle.net/10986/29788

Kaggle Dataset Description

Overview

This dataset is an Updated and Curated Version of the renowned World Development Indicators dataset by the World Bank. Unlike other Kaggle datasets, this one is up-to-date and comprehensive.

About the Original Dataset

The original World Development Indicators dataset is a public resource under the Creative Commons Attribution 4.0 license. It covers a wide array of topics such as Agriculture, Climate Change, Economic Growth, Education, and more. Source

Included Files

• WDIdatabase.sqlite: A SQLite database for easier data manipulation.
• footnotes.csv: Footnotes for data series.
• series.csv: Metadata for each data series.
• indicators.csv: Main File. All Development indicators.
• series_notes.csv: Additional notes for series.
• country.csv: Country information.
• country_notes.csv: Country-specific notes.

Use Cases

• Global or country-specific economic and social development analysis.
• Academic research in economics, public health, and social sciences.
• Data visualization to understand global trends.

Highlights

• Up-to-date: Contains the latest available data.
• Curated: Edited for ease of use, including column name adjustments and data type conversions.

Photo by Porapak Apichodilok: Link to Photo

I want to understand the effect of liberalisation, privatisation and globalisation in Indian lifestyle and economy for last 26 years.

This file contains critical economic indicators (Employment, Unemployment, Labor force etc.) and some social indicators (Population, birth rate, death rate etc.) of India since the inception of liberalisation, privatisation and globalisation in 1991 till 2016.

Raw data is taken from World Bank site and used under their license. Data Cleaning is completely done by me.

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the Statement of Loans including the latest available snapshots. The World Bank complies with all sanctions applicable to World Bank transactions.

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the Statement of Loans including the latest available snapshot.

Access data, visualizations, and stories that portray results of the IMF's research on gender and economics or create your own charts and analysis. This dataset includes gender inequality and development indices.

For further details, please see https://data.imf.org/?sk=388DFA60-1D26-4ADE-B505-A05A558D9A42&sId=1479329132316

Please, if you use this dataset or do you like my work please UPVOTE 👁️

This dataset contains the historical data from 1960 to 2023 of the GDP by country, additionally its growth rate per year is calculated.

The data is obtained from the World Bank data, the dataset is downloaded, a pre-processing was carried out in which geographic data such as regions, subregions were added and the % variation per year and country was calculated.

The main objective of this dataset is to serve as a data source for the population analysis that I am developing to better understand the factors that affect population growth.

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

The Social Sustainability global database and its visualization dashboard https://public.tableau.com/app/profile/social.sustainability.and.inclusion.world.bank/viz/SocialSustainabilityGlobalDashboard2_0/Historia1?publish=yes/ are global public goods produced by the Social Development Global Practice of The World Bank Group. They feature leading indicators of inclusion, resilience, social cohesion, and process legitimacy, for 222 countries, disaggregated by population group and analyzed spatially and over time. In addition, the dashboard allows the user to overlay the indicators in the geospatial platform of the World Bank Group.

Data Sources, technical note: The database and dashboard draw from publicly available data sources comprising Barometers, the World Values Survey, the European Values Study, the Global Monitoring Database, ACLED, World Development Indicators, among others. The full list of data sources can be found here, and the technical note used for its construction can be accessed here.

Disaggregation: Population group disaggregation can be performed by: gender (female/male); age (15-24 years vs 25+ years or 15-29 years, 30-59 years, 60+years); location (urban/rural); ethnicity and religion (major group/others). Analysis over time can be performed for two waves: 2015-2018 and 2019-2022. Spatial analysis can be performed at the first administrative level (ADM1).

Open data: The Social Sustainability Global Database and dashboard being global public goods follow the open data and reproducibility policies of the World Bank Group. The STATA codes, codebook, and technical note used for constructing the indicators are available here in GitHub.

Data that captures industry and country-specific employment growth based on updates to LinkedIn member profiles.

This dataset is part of the LinkedIn - World Bank partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes.

Visualizations for many of these data are available at linkedindata.worldbank.org. The data cover 2015-2019, are refreshed on an annual basis, and are available for 140 countries.

Additional experimental data is available by request via the Development Data Partnership.

Provides summary income statement from quarterly .statements

This set of contract awards includes data on commitments against contracts that were reviewed by the Bank before they were awarded (prior-reviewed Bank-funded contracts) under IDA/IBRD investment projects and related Trust Funds. This dataset does not list all contracts awarded by the Bank, and should be viewed only as a guide to determine the distribution of major contract commitments among the Bank's member countries. "Supplier Country" represents place of supplier registration, which may or not be the supplier's actual country of origin. Information does not include awards to subcontractors nor account for cofinancing. The Procurement Policy and Services Group does not guarantee the data included in this publication and accepts no responsibility whatsoever for any consequences of its use. The World Bank complies with all sanctions applicable to World Bank transactions.

Visit Bank’s Procurement page for more information: http://go.worldbank.org/9KQZWXNOI0

Women, Business and the Law (WBL) is a World Bank Group project collecting data on the laws and policy mechanisms that measure the enabling environment for women's economic opportunity. Since 2009, Women, Business and the Law has been enhancing the study of gender equality and informing discussions on improving women's economic opportunities and empowerment. The dataset offers objective and measurable benchmarks for global progress toward gender equality. Comparable across economies, the data is useful for research and policy discussions on improving women's economic opportunities. This year, the study presents two sets of data: Women, Business and the Law 1.0 and an expanded version, Women, Business and the Law 2.0. Women, Business and the Law 1.0 covers 190 economies and eight topics relevant to women's economic participation. Women, Business and the Law 2.0 introduces a new framework for measuring the implementation gap. It analyzes laws—de jure— and examines the existence of frameworks supporting implementation of the law and gauges experts’ opinions on the outcome of the law for women—de facto. Women, Business and the Law 2.0 introduces two new indicators – Safety and Childcare – and revises its ongoing indicators.

Women, Business and the Law measures legal differences between men's and women's access to economic opportunities in 190 economies. Thirty-five aspects of the law are scored across eight indicators of four or five binary questions. Each indicator represents a different phase of a woman's career. The methodology was designed as an easily replicable measure of the legal environment for women as entrepreneurs and employees. We update the data based on feedback from respondents with expertise in family, labor and criminal law. Indicator-level scores are obtained by calculating the unweighted average of the questions within that indicator and scaling the result to 100. Overall scores are then calculated by taking the average of each indicator, with 100 representing the highest possible score.

For more information about the methodology for data collection, scoring and analysis, and to use a new data visualization tool, visit http://wbl.worldbank.org.

1 Overview World Administrative Boundaries are available from various sources (UN, WHO, Global Administrative Areas [GADM], Natural Earth, World Bank). We would like to have the most accurate one with a reasonable size for an interactive world map in a Data Exploration Application, called CLIMINET. We provide a complete Geospatial Data that covers at least all 249 countries in the international ISO 3166-1 standard. We aim to maintain a reasonable data size, with countries' boundaries as accurate as possible, to ensure FLUIDITY in data visualization applications. The data are optimized for efficient performance and smooth interactions in interactive world maps for the best possible user experience. 2. Data Overview Number of Spatial Features: 275 countries/territories Data Sources: Compiled from multiple sources to ensure completeness and precision (WHO, Global Administrative Areas [GADM]) CRS Options: WGS84 [EPSG:4326] World Robinson (1963) [ESRI:54030] World Winkel-Tripel (Winkel III) - (1921) [ESRI:54042] Data Level: Level 0 (Countries) File Format: GeoJSON File Size: WGS84 [EPSG:4326]: 18.86 MB World Robinson (1963) [ESRI:54030]: 30.91 MB World Winkel-Tripel (Winkel III) - (1921) [ESRI:54042]: 30.90 MB 3. Data Revision Date The data were last updated on 2024-12-19. For further information on data structure and implementation, refer to the metadata files.

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans.