Acronym: WDIType: Time SeriesTopics: Agriculture and Food Security, Climate Change, Economic Growth, Education, Energy and Extractives, Environment and Natural Resources, Financial Sector, Development,GenderHealth Nutrition and Population,Macroeconomic Vulnerability and Debt,Poverty, Private Sector Development, Public Sector Management, Social Development, Social Protection and Labor, Trade, Economy Coverage: High Income IBRD IDA Low Income Lower Middle Income Upper Middle IncomeLanguages Supported: English Arabic Chinese French SpanishNumber of Economies: 217Geographical Coverage: World East Asia & Pacific American Samoa Australia Brunei Darussalam Cambodia China FijiFrench Polynesia Guam Hong Kong SAR, China Indonesia Japan KiribatiKorea, Dem. People's Rep. Korea, Rep. Lao PDR Macao SAR, China Malaysia Marshall IslandsMongolia Myanmar Nauru New Caledonia New Zealand Northern Mariana Islands PalauPapua New Guinea Philippines Samoa Singapore Solomon Islands Thailand Timor-LesteTonga Tuvalu Vanuatu Vietnam Europe & Central Asia Albania Andorra Armenia AustriaAzerbaijan Belarus Belgium Bosnia and Herzegovina Bulgaria Croatia Cyprus Czech RepublicDenmark Estonia Faroe Islands Finland France Georgia Germany Gibraltar Greece GreenlandHungary Iceland Ireland Isle of Man Italy Kazakhstan Kyrgyz Republic Latvia LiechtensteinLithuania Luxembourg Macedonia, FYR Moldova Monaco Montenegro Netherlands NorwayPoland Portugal Romania Russian Federation San Marino Serbia Slovak Republic SloveniaSpain Sweden Switzerland Tajikistan Turkey Turkmenistan Ukraine United KingdomUzbekistan Latin America & Caribbean Antigua and Barbuda Aruba Argentina Bahamas, TheBarbados Belize Bolivia Brazil Cayman Islands Chile Costa Rica Colombia Cuba CuraçaoDominica Dominican Republic Ecuador El Salvador Grenada Guatemala Guyana HaitiHonduras Jamaica Mexico Nicaragua Panama Paraguay Peru Puerto RicoSint Maarten (Dutch part) St. Kitts and Nevis St. Martin (French part) St. LuciaSt. Vincent and the Grenadines Suriname Trinidad and Tobago Turks and Caicos IslandsUruguay Venezuela, RB Virgin Islands (U.S.) Middle East & North Africa Algeria BahrainEgypt, Arab Rep. Djibouti Iraq Iran, Islamic Rep. Israel Jordan Kuwait Lebanon Libya MaltaMorocco Oman Qatar Saudi Arabia Syrian Arab Republic United Arab Emirates TunisiaYemen, Rep. Bermuda Canada United States South Asia Afghanistan Bangladesh BhutanIndia Pakistan Nepal Maldives Sri Lanka Angola Benin Botswana Burkina Faso BurundiCabo Verde Cameroon Central African Republic Chad Comoros Congo, Dem. Rep. Congo, Rep.Côte d'Ivoire Ethiopia Eritrea Equatorial Guinea Gabon Gambia, The Ghana GuineaGuinea-Bissau Kenya Lesotho Liberia Madagascar Malawi Mali Mauritania MauritiusMozambique Namibia Niger Nigeria Rwanda São Tomé and Principe Seychelles SenegalSierra Leone Somalia South Africa South Sudan Sudan Swaziland Tanzania Togo UgandaZambia Zimbabwe

The dataset includes data on number of adults without an account (in millions) in countries all over the world during 2017. Globally, 1.7 billion adults lacked a formal financial account in 2017 Map Note: Data are not displayed for economies in which the share of adults without an account is 5 percent or less.

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.

Explore the spatial patterns of the Human Development Index (HDI) to identify regional pat- terns and causal factors in the data. The GeoInquiry activity is available here.Educational standards addressed:APHG: VI:B2 Analyze spatial patterns of social and economic development – GNI per capita. APHG: VI:B1 Explain social and economic measures of development – HDI, Gender Inequali- ty Index (GII), Total Fertility Rate (TRF).APHG: VI:B6 Social and economic measures of development — Changes in fertilityand mortalityThis map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

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The World Development Indicators (WDI) is the flagship dataset of the World Bank, offering a vast collection of development indicators compiled from officially recognized international sources. It provides the most current and accurate global development data available, covering national, regional, and global estimates.

The dataset spans diverse areas such as external debt and financial flows, health, gender, social data, and the economy. It also includes historical data, enabling users to analyze trends, assess progress, and inform decision-making processes. While the WDI incorporates all external debt and financial flows data, it should be noted that the Global Development Finance (GDF) has been renamed International Debt Statistics (IDS) and now exists as a separate database.

Data from the population census were combined with household survey data and administrative data to create detailed maps of poverty and deprivations.

Main Source:
Government of Croatia: Household survey data and administrative data.

Map-Based on Nigeria's National Water Supply and Sanitation Survey 2015 in the Report: A Wake Up Call: Nigeria Water Supply, Sanitation, and Hygiene Poverty Diagnostic. Available at: http://hdl.handle.net/10986/27703
These heat maps provide estimates of access to water and sanitation at local. The following maps provide estimates at the state level. Geographic hotspots of inadequate access to improved sanitation are shown from the most severe (red) to the least severe (green) in terms of the percentage of the population in that area that meets an international benchmark for sanitation.

Explore the varying GDP (Gross Domestic Product) figures across African countries with data from the World Bank. This interactive resource visualizes the economic output of each country, providing insights into the distribution of economic activity across Africa. Dive into this comprehensive assessment to understand the economic trends shaping Africa’s development and political landscape

World Bank-approved administrative boundaries (Admin 0) (and polygons) including international boundaries, disputed areas, coastlines, lakes and a guide to help with their usage. Boundaries are available as an ESRI GeoDatabase, in GeoJSON, a shapefile and API endpoints for interactive maps. If Bank staff use this data to create a map (print, web, or presentations for external audience e.g. external web sites, on mission), staff must receive clearance for the map by submitting the created map to the World Bank Cartography Unit (please refer to contact email below).

The map shows worldwide Colocation data centers, Internet Exchange Points, Submarine cable landing stations, and Submarine Cables
Main Source:
https://maps.worldbank.org/?layers=infra34156,infra38&transparencies=0.3,0&infraToolkit=global&zoom=3&lng=-54.14062499999999&lat=3.214889317245486

Note: The source does not include colocation data centers as the information is not public.

Human Development Index by country for 2013. This is a filtered layer based on the "Human Development Index by country, 1980-2010 time-series" layer.The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $).The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values:

Very High Human Development: 0.736 and higher High Human Development: 0.615 to 0.735 Medium Human Development: 0.494 to 0.614 Low Human Development: 0.493 and lower

Country shapes from Natural Earth 50M scale data. Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).

Explore factors that define levels of development. The GeoInquiry activity is available here.Educational standards addressed:APHG: VI.B1. Analyze spatial variation in the Human Development Index. APHG: VI.B1. Explain social and economic measures of development.This map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

This activity uses interactive web maps to visualise and explore the human development index (HDI), crime rates, fertility rates, gender inequality, and economic indicators. The patterns that you see in these web maps will help to shape your understanding of global development patterns and the impact they have on people.Read through the material and answer the questions in yellow.

The FGGD degree of human development map is a global vector datalayer at scale 1:5 000 000. The map depicts national statistical data and highlights differences among countries with respect to the human development index for the year 2000. Data are from UNDP, 2002, Human Development Report.

The dataset includes geographical data on smartphone user's home location in Jakarta during 2020.

Map Note: This map of Jakarta’s metropolitan area shows the spatial distribution of smartphone users’ home location as a percentage of Jakarta’s total population.

Graph, map and compare more than 1,000 time series indicators from the World Development Indicators.

Explore raw data about the World Bank's finances - slice and dice datasets; visualize data. Visualize the data in terms of GDP, Population, School, C02 Emissions, Life Expentency. Region: East Asia & Pacific

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 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

The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.

The Global Development Potential Indices (DPIs) data set contains thirteen sector-level DPIs for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). The DPI for each sector represents land suitability that accounts for both resource potential and development feasibility. Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of current and planned development, and examined for uncertainty and sensitivity. The DPIs can be used to identify lands with current favorable economic and physical conditions for individual sector expansion and assist in planning for sector and cumulative development across the globe.