The Data on Statistical Capacity website provides information on various aspects of national statistical systems of developing countries, including a country-level statistical capacity indicator.

The Statistical Capacity Index (SCI) has been replaced by the Statistical Performance Indicators (SPI), which provide a more comprehensive framework for measuring the performance of national statistical systems. For further details, please visit https://www.worldbank.org/en/programs/statistical-performance-indicators/about-spi#4 to learn about the differences between the SCI and its successor.

This Dataset comes from the R Package wbstats. The World Bank[https://www.worldbank.org/] is a tremendous source of global socio-economic data; spanning several decades and dozens of topics, it has the potential to shed light on numerous global issues. To help provide access to this rich source of information, The World Bank themselves, provide a well structured RESTful API. While this API is very useful for integration into web services and other high-level applications, it becomes quickly overwhelming for researchers who have neither the time nor the expertise to develop software to interface with the API. This leaves the researcher to rely on manual bulk downloads of spreadsheets of the data they are interested in. This too is can quickly become overwhelming, as the work is manual, time consuming, and not easily reproducible. The goal of the wbstats R-package is to provide a bridge between these alternatives and allow researchers to focus on their research questions and not the question of accessing the data. The wbstats R-package allows researchers to quickly search and download the data of their particular interest in a programmatic and reproducible fashion; this facilitates a seamless integration into their workflow and allows analysis to be quickly rerun on different areas of interest and with realtime access to the latest available data.

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. Copied from https://databank.worldbank.org/source/world-development-indicators.

Highlighted features of the wbstats R-package: * Uses version 2 of the World Bank API that provides access to more indicators and metadata than the previous API version * Access to all annual, quarterly, and monthly data available in the API * Support for searching and downloading data in multiple languages * Returns data in either wide (default) or long format * Support for Most Recent Value queries * Support for grep style searching for data descriptions and names * Ability to download data not only by country, but by aggregates as well, such as High Income or South Asia

More information can be found at https://www.rdocumentation.org/packages/wbstats/versions/1.0.4

Note for Version 1. Version 1 published January 2023. Its primary focus is on the featured indicator of climate change. Other versions planned will cover other featured indicators such as economy, education, energy, environment, debt, gender, health, infrastructure, poverty, science and technology.

The WBG launched the GovTech Maturity Index (GTMI) in 2020 as a composite index that uses 48 key indicators to measure critical aspects of four GovTech focus areas in 198 economies: supporting core government systems, enhancing service delivery, mainstreaming citizen engagement, and fostering GovTech enablers.

The construction of the GTMI is primarily based on the World Bank’s GovTech Dataset. The GTMI Report and GovTech dataset provides opportunities to replicate the study, identify gaps in digital transformation by comparing the differences among economies and groups of economies, as well as track changes over time transparently.

The 2020 GovTech dataset contained data/evidence collected from government websites using remotely measurable indicators (due to the COVID-19 pandemic) mostly reflecting de jure practices. The GTMI Team followed a different approach for the 2022 update of the GTMI and underlying GovTech Dataset.

First, the GTMI indicators were revised and extended to explore the performance of existing platforms and cover less known areas in consultation with 9 relevant organizations and 10 World Bank practices/groups from November 2021 to January 2022. A Central Government (CG) GTMI online survey was launched in March 2022 and 850+ officials from 164 countries accepted to join this exercise to reflect the latest developments and results of their GovTech initiatives. Additionally, a Subnational Government (SNG) GTMI online survey was launched in parallel as a pilot implementation for interested countries. Finally, a data validation phase was included to benefit from the clarifications and updates of all survey participants while checking the survey responses and calculating the GTMI scores and groups.

The GTMI includes 40 updated/expanded GovTech indicators measuring the maturity of four GovTech focus areas. Additionally, 8 highly relevant external indicators measured by other relevant indexes are used in the calculation of GTMI groups.

The 2022 GovTech Dataset presents all indicators based on the CG GTMI survey data submitted by 135 countries directly, as well as the remotely collected data from the web sites of 63 non-participating economies. Additionally, the dataset includes the SNG GTMI data submitted by 113 subnational government entities (states, municipalities) from 16 countries and this expanded the scope of GovTech Dataset considerably.

As a part of the 2022 GTMI update, a GTMI Data Dashboard was launched to create a data visualization portal with maps and graphs aimed at helping the end-user digest and explore the findings of the CG GTMI / GovTech Dataset, as well as the GovTech Projects Database (presenting the details of 1450+ digital government/GovTech projects funded by the WBG in 147 countries since 1995).

The GovTech Dataset is a substantially expanded version of the Digital Government Systems and Services (DGSS) global dataset, originally developed in 2014 and updated every two years to support the preparation of several WBG studies and flagship reports (e.g., 2014 FMIS and Open Budget Data Study; WDR 2016: Digital Dividends; 2018 WBG Digital Adoption Index; WDR 2021: Data for Better Lives; and 2020 GovTech Maturity Index). The dataset will be updated every two years to reflect progress in the GovTech domain globally.

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.

About the Dataset

With the spread of covid19 in many countries, it's important to consider more factors that could have an impact on the spread of this virus. Health system and policies definitely play a significant role, but there are some other factors that might contribute too. Therefore, I prepared multiple datasets from World Bank for further investigation. These datasets have multiple indicators in the areas below: - Health System and Risk Factors - Climate variability, Exposure to impact, and Resilience - Emissions and Greenhouse Gas Emissions - Energy - Freshwater - Agriculture and Rural Environment - Sustainability

Acknowledgements

Many thanks to World Bank for making their data public and accessable.

Resources

World Development Indicators: Agricultural inputs, World Bank: http://wdi.worldbank.org/table/3.2 World Development Indicators: Freshwater, World Bank: http://wdi.worldbank.org/table/3.5 World Development Indicators: Rural environment and land use, World Bank: http://wdi.worldbank.org/table/3.1 World Development Indicators: Climate variability, exposure to impact, and resilience, World Bank: http://wdi.worldbank.org/table/3.11 World Development Indicators: Energy dependency, efficiency and carbon dioxide emissions, World Bank: http://wdi.worldbank.org/table/3.8 World Development Indicators: Trends in greenhouse gas emissions, World Bank: http://wdi.worldbank.org/table/3.9 World Development Indicators: Sustainable energy for all, World Bank: http://wdi.worldbank.org/table/3.13 World Development Indicators: Health systems, World Bank: http://wdi.worldbank.org/table/2.12 World Development Indicators: Global goals: promoting sustainability, World Bank: http://wdi.worldbank.org/table/WV.3 World Development Indicators: Health risk factors and future challenges, World Bank: http://wdi.worldbank.org/table/2.17

TCdata360 provides open data on trade and competitiveness. The site aggregates and visualizes data from multiple sources, inside and outside World Bank Group, and presents it in tandem with other knowledge and resources.

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.

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

World Bank activity file for CHAD

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Private markets drive economic growth, tapping initiative and investment to create productive jobs and raise incomes. Trade is also a driver of economic growth as it integrates developing countries into the world economy and generates benefits for their people. Data on the private sector and trade are from the World Bank Group's Private Participation in Infrastructure Project Database, Enterprise Surveys, and Doing Business Indicators, as well as from the International Monetary Fund's Balance of Payments database and International Financial Statistics, the UN Commission on Trade and Development, the World Trade Organization, and various other sources.

IFC continues to develop new financial products that enable companies to manage risk and broaden their access to foreign and domestic capital markets. Our broad suite of investment services can ease poverty and spur long-term growth by promoting sustainable enterprises, encouraging entrepreneurship, and mobilizing resources that wouldn’t otherwise be available. For project information IFC discloses on a daily basis, please refer to the IFC Disclosure Portal: http://www.ifc.org/disclosure

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

http://data.worldbank.org/data-catalog/ed-stats

https://cloud.google.com/bigquery/public-data/world-bank-education

Citation: The World Bank: Education Statistics

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @till_indeman from Unplash.

Inspiration

Of total government spending, what percentage is spent on education?

World Bank activity file for South of Sahara, regional

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 Energy & Extractives Open Data Platform is provided by the World Bank Group and is comprised of open datasets relating to the work of the Energy & Extractives Global Practice, including statistical, measurement and survey data from ongoing projects.

Website: http://data.worldbank.org/topic/energy-and-mining

World Bank Trust Funds activity file for tf070592

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset combines key health statistics from a variety of sources to provide a look at global health and population trends. It includes information on nutrition, reproductive health, education, immunization, and diseases from over 200 countries.

Update Frequency: Biannual

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://datacatalog.worldbank.org/dataset/health-nutrition-and-population-statistics

https://cloud.google.com/bigquery/public-data/world-bank-hnp

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Citation: The World Bank: Health Nutrition and Population Statistics

Banner Photo by @till_indeman from Unplash.

Inspiration

What’s the average age of first marriages for females around the world?

World Bank Trust Funds activity file for tf072604

World Bank Trust Funds activity file for tf073462

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using the World Bank's APIs and Kaggle's API.

Cover photo by Annie Spratt on Unsplash
Unsplash Images are distributed under a unique Unsplash License.