{"geometry": {"type": "Polygon", "coordinates": [[[8.500288, 4.771983], [7.462108, 4.412108], [7.082596, 4.464689], [6.698072, 4.240594], [5.898173, 4.262453], [5.362805, 4.887971], [5.033574, 5.611802], [4.325607, 6.270651], [3.57418, 6.2583], [2.691702, 6.258817], [2.749063, 7.870734], [2.723793, 8.506845], [2.912308, 9.137608], [3.220352, 9.444153], [3.705438, 10.06321], [3.60007, 10.332186], [3.797112, 10.734746], [3.572216, 11.327939], [3.61118, 11.660167], [3.680634, 12.552903], [3.967283, 12.956109], [4.107946, 13.531216], [4.368344, 13.747482], [5.443058, 13.865924], [6.445426, 13.492768], [6.820442, 13.115091], [7.330747, 13.098038], [7.804671, 13.343527], [9.014933, 12.826659], [9.524928, 12.851102], [10.114814, 13.277252], [10.701032, 13.246918], [10.989593, 13.387323], [11.527803, 13.32898], [12.302071, 13.037189], [13.083987, 13.596147], [13.318702, 13.556356], [13.995353, 12.461565], [14.181336, 12.483657], [14.577178, 12.085361], [14.468192, 11.904752], [14.415379, 11.572369], [13.57295, 10.798566], [13.308676, 10.160362], [13.1676, 9.640626], [12.955468, 9.417772], [12.753672, 8.717763], [12.218872, 8.305824], [12.063946, 7.799808], [11.839309, 7.397042], [11.745774, 6.981383], [11.058788, 6.644427], [10.497375, 7.055358], [10.118277, 7.03877], [9.522706, 6.453482], [9.233163, 6.444491], [8.757533, 5.479666], [8.500288, 4.771983]]]}, "_id": "AGMCAZMGC6UF916641381868806.52", "type": "Feature", "properties": {"url": "/group/nga", "name": "Nigeria"}, "id": "NGA"}
251
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Updated
March 6, 2020
| Dataset date: Jan 1, 2016-Dec 31, 2018
This dataset updates: Every month
The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
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20+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
is_in
source
place
population
name
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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70+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
layer
tunnel
waterway
width
depth
covered
natural
water
source
blockage
name
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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20+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy')
Features may have these attributes:
healthcare:speciality
capacity:persons
addr:city
healthcare
building
operator:type
source
addr:full
name
amenity
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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90+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
layer
oneway
surface
width
highway
source
name
smoothness
bridge
lanes
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
10+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office')
Features may have these attributes:
network
addr:city
source
addr:full
name
operator
amenity
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
50+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
addr:full
rooms
addr:housenumber
beds
addr:city
addr:street
opening_hours
source
man_made
name
tourism
amenity
shop
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
60+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
addr:housenumber
office
addr:city
building:materials
building
addr:street
source
addr:full
name
building:levels
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
20+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university')
Features may have these attributes:
capacity:persons
addr:city
building
operator:type
source
addr:full
name
amenity
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
20+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
railway IN ('rail','subway','station')
Features may have these attributes:
layer
addr:city
operator:type
railway
source
addr:full
name
ele
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
20+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site'
Features may have these attributes:
capacity:persons
emergency:helipad
addr:city
operator:type
emergency
source
addr:full
name
aeroway
building
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
20+ Downloads
Updated
March 2, 2020
| Dataset date: Mar 2, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL
Features may have these attributes:
addr:city
source
building
operator:type
port
addr:full
name
amenity
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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Updated
February 23, 2020
| Dataset date: Jan 1, 1974-Dec 31, 2018
This dataset updates: Every year
Sustainable Development Goal 4 indicators for Nigeria.
Contains data from UNESCO's data portal.
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Updated
February 23, 2020
| Dataset date: Jan 1, 2008-Dec 31, 2010
This dataset updates: Every year
Education: Regional module indicators for Nigeria.
Contains data from UNESCO's data portal.
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Updated
February 23, 2020
| Dataset date: Jan 1, 1970-Dec 31, 2019
This dataset updates: Every year
Education: Students and Teachers indicators for Nigeria.
Contains data from UNESCO's data portal.
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Updated
February 23, 2020
| Dataset date: Jan 1, 1974-Dec 31, 2003
This dataset updates: Every year
Education: Financial resources indicators for Nigeria.
Contains data from UNESCO's data portal.
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Updated
February 23, 2020
| Dataset date: Jan 1, 1970-Dec 31, 2019
This dataset updates: Every year
Demographic and socio-economic indicators indicators for Nigeria.
Contains data from UNESCO's data portal.
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8900+ Downloads
Updated
February 20, 2020
| Dataset date: Feb 23, 2017
This dataset updates: Never
The dataset represents the Common Operational Data (COD) for administrative boundaries of Nigeria. Each administrative unit contains the p-code and name. Admin COD datasets (Admin 0 – 2) for Nigeria are endorsed by the Office of the Surveyor General of the Federal Republic of Nigeria (OSGOF) and the IMWG Feb 2017. See metadata for description of methodology for admin level 3 and the cleaning and processing performed by ITOS. Levels 0 - 3 are polygonal administrative units, Level 3 only covers Adamawa, Borno and Yobe States and are for operational purposes only.
A senatorial district shapefile is also included. Senatorial districts respect administrative level 1 (state) but are not reflected in the gazetteer, geodatabase, or live services.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
The administrative level 0-2 and senatorial district boundaries are suitable for database or GIS linkage to the Nigeria 2016 Population Data tables.
A topojson generalized version of administrative level 3 is also provided.
REVISION HISTORY
14 February 2020: Topojson generalized administrative level 3 resource added
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80+ Downloads
Updated
February 20, 2020
| Dataset date: Jul 25, 2019
This dataset updates: As needed
This master list of health facilities was developed from a variety of government and non-government sources from 50 countries in sub-Saharan Africa. It uses multiple geocoding methods to provide a comprehensive spatial inventory of 98 745 public health facilities. Each data record represents a health facility and has 8 descriptive variables – Location identifiers including: country, first level administrative division, latitude, longitude and LL source (source of the coordinates). Coordinates are rounded off to four decimal places for uniformity, allowing an accuracy of 5–10 metres in decimal degrees coordinate format.
This geocoded master facility list has been made publicly and freely available through both the figshare repository and through the World Health Organization’s Global Malaria Programme in Microsoft Excel format.
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Updated
February 18, 2020
| Dataset date: Feb 14, 2020
This dataset updates: Every six months
This data is about the refugees, IDPs, and returnees in the Sahel.
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Updated
January 30, 2020
| Dataset date: Jan 1, 2011-Dec 31, 2018
This dataset updates: Every year
Data used to update country toplines in HDX. Contains data from World Bank's data portal.
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Updated
January 30, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2026
This dataset updates: Every year
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.
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Updated
January 30, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2019
This dataset updates: Every year
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Trade is a key means to fight poverty and achieve the Millennium Development Goals, specifically by improving developing country access to markets, and supporting a rules based, predictable trading system. In cooperation with other international development partners, the World Bank launched the Transparency in Trade Initiative to provide free and easy access to data on country-specific trade policies.
Indicators: Agricultural raw materials exports, Agricultural raw materials imports, Arms exports, Arms imports, Average time to clear exports through customs, Binding coverage, Bound rate, Commercial service exports, Commercial service imports, Communications, Computer, Cost to export, Cost to import, Energy imports, Export value index, Export volume index, Exports as a capacity to import, Exports of goods, Exports of goods and services, External balance on goods and services, Food exports, Food imports, Fuel exports, Fuel imports, Goods exports, Goods imports, High-technology exports, ICT goods exports, ICT goods imports, ICT service exports, Import value index, Import volume index, Imports of goods, Imports of goods and services, Insurance and financial services, International tourism, Lead time to export, Lead time to import, Logistics performance index, Manufactures exports, Manufactures imports, Merchandise exports, Merchandise exports by the reporting economy, Merchandise exports to economies in the Arab World, Merchandise exports to high-income economies, Merchandise exports to low- and middle-income economies in East Asia & Pacific, Merchandise exports to low- and middle-income economies in Europe & Central Asia, Merchandise exports to low- and middle-income economies in Latin America & the Caribbean, Merchandise exports to low- and middle-income economies in Middle East & North Africa, Merchandise exports to low- and middle-income economies in South Asia, Merchandise exports to low- and middle-income economies in Sub-Saharan Africa, Merchandise exports to low- and middle-income economies outside region, Merchandise exports to low- and middle-income economies within region, Merchandise imports, Merchandise imports by the reporting economy, Merchandise imports from economies in the Arab World, Merchandise imports from high-income economies, Merchandise imports from low- and middle-income economies in East Asia & Pacific, Merchandise imports from low- and middle-income economies in Europe & Central Asia, Merchandise imports from low- and middle-income economies in Latin America & the Caribbean, Merchandise imports from low- and middle-income economies in Middle East & North Africa, Merchandise imports from low- and middle-income economies in South Asia, Merchandise imports from low- and middle-income economies in Sub-Saharan Africa, Merchandise imports from low- and middle-income economies outside region, Merchandise imports from low- and middle-income economies within region, Merchandise trade, Net barter terms of trade index, Net trade in goods, Net trade in goods and services, Ores and metals exports, Ores and metals imports, Service exports, Service imports, Share of tariff lines with international peaks, Share of tariff lines with specific rates, Tariff rate, Time to export, Time to import, Trade, Trade in services, Transport services, Travel services
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Updated
January 30, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2026
This dataset updates: Every year
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.
Indicators: Average grace period on new external debt commitments, Average grant element on new external debt commitments, Average interest on new external debt commitments, Average maturity on new external debt commitments, Commercial banks and other lending, Commitments, Concessional debt, Currency composition of PPG debt, Current account balance, Debt buyback, Debt forgiveness grants, Debt forgiveness or reduction, Debt service, Debt service on external debt, Debt stock reduction, Debt stock rescheduled, Disbursements on external debt, EBRD, Exports of goods, External debt stocks, Foreign direct investment, GG, GNI, Grants, IBRD loans and IDA credits, IDA grants, IFC, IMF charges, IMF purchases, IMF repurchases, IMF repurchases and charges, Imports of goods, Interest arrears, Interest forgiven, Interest payments on external debt, Interest rescheduled, Multilateral debt, Multilateral debt service, Net ODA received, Net ODA received per capita, Net change in interest arrears, Net financial flows, Net flows on external debt, Net official development assistance received, Net transfers on external debt, OPS, PNG, PPG, PRVG, PS, Personal remittances, Portfolio equity, Portfolio investment, Present value of external debt, Primary income on FDI, Principal arrears, Principal forgiven, Principal repayments on external debt, Principal rescheduled, Public and publicly guaranteed debt service, Residual, Short-term debt, Technical cooperation grants, Total amount of debt rescheduled, Total change in external debt stocks, Total debt service, Total reserves, Total reserves in months of imports, Undisbursed external debt, Use of IMF credit
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Updated
January 30, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2019
This dataset updates: Every year
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
Indicators: Access to electricity, Agricultural irrigated land, Agricultural land, Agriculture, Annual freshwater withdrawals, Arable land, Average precipitation in depth, CO2 emissions, CO2 emissions from gaseous fuel consumption, CO2 emissions from liquid fuel consumption, CO2 emissions from solid fuel consumption, CO2 intensity, CPIA public sector management and institutions cluster average, Cereal yield, Community health workers, Disaster risk reduction progress score, Droughts, Ease of doing business index, Electric power consumption, Electricity production from coal sources, Electricity production from hydroelectric sources, Electricity production from natural gas sources, Electricity production from nuclear sources, Electricity production from oil sources, Electricity production from renewable sources, Energy use, Foreign direct investment, Forest area, GHG net emissions/removals by LUCF, HFC gas emissions, Land area where elevation is below 5 meters, Marine protected areas, Methane emissions, Mortality rate, Nitrous oxide emissions, Other greenhouse gas emissions, PFC gas emissions, Population, Population growth, Population in urban agglomerations of more than 1 million, Population living in areas where elevation is below 5 meters, Poverty headcount ratio at $1.90 a day, Prevalence of underweight, Primary completion rate, Renewable electricity output, Renewable energy consumption, Roads, Rural land area where elevation is below 5 meters, Rural population living in areas where elevation is below 5 meters, SF6 gas emissions, School enrollment, Terrestrial and marine protected areas, Terrestrial protected areas, Total greenhouse gas emissions, Urban land area where elevation is below 5 meters, Urban population, Urban population growth, Urban population living in areas where elevation is below 5 meters
