{"geometry": {"type": "Polygon", "coordinates": [[[34.559989, -11.52002], [34.280006, -12.280025], [34.559989, -13.579998], [34.907151, -13.565425], [35.267956, -13.887834], [35.686845, -14.611046], [35.771905, -15.896859], [35.339063, -16.10744], [35.03381, -16.8013], [34.381292, -16.18356], [34.307291, -15.478641], [34.517666, -15.013709], [34.459633, -14.61301], [34.064825, -14.35995], [33.7897, -14.451831], [33.214025, -13.97186], [32.688165, -13.712858], [32.991764, -12.783871], [33.306422, -12.435778], [33.114289, -11.607198], [33.31531, -10.79655], [33.485688, -10.525559], [33.231388, -9.676722], [32.759375, -9.230599], [33.739729, -9.417151], [33.940838, -9.693674], [34.280006, -10.16], [34.559989, -11.52002]]]}, "_id": "AGMCAZMGC6UF91661381868806.5", "type": "Feature", "properties": {"url": "/group/mwi", "name": "Malawi"}, "id": "MWI"}
156
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Updated
July 15, 2020
| Dataset date: Jul 15, 2020
This dataset updates: Every day
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
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Updated
July 15, 2020
| Dataset date: Jan 1, 1997-Dec 31, 2020
This dataset updates: Every week
The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
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1900+ Downloads
Updated
July 13, 2020
| Dataset date: Mar 1, 2020-May 31, 2020
This dataset updates: Every week
This data includes movement changes measured by Facebook throughout March, April, and May 2020 starting from a baseline in February.
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100+ Downloads
Updated
July 12, 2020
| Dataset date: Jul 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:
name
smoothness
surface
highway
width
lanes
source
bridge
layer
oneway
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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200+ Downloads
Updated
July 12, 2020
| Dataset date: Jul 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:
name
addr:housenumber
building
building:materials
addr:full
office
building:levels
source
addr:street
addr:city
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
July 12, 2020
| Dataset date: Jul 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:
name
blockage
width
covered
tunnel
depth
water
source
layer
waterway
natural
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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200+ Downloads
Updated
July 12, 2020
| Dataset date: Jul 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:
name
addr:housenumber
beds
addr:full
amenity
tourism
rooms
man_made
source
opening_hours
addr:street
addr:city
shop
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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Updated
July 12, 2020
| Dataset date: Jan 1, 1999-Dec 31, 2018
This dataset updates: Every year
Food Security Indicators for Malawi.
Contains data from the FAOSTAT bulk data service.
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Updated
July 12, 2020
| Dataset date: Jan 1, 1996-Dec 31, 2017
This dataset updates: Every year
Prices for Malawi.
Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual, Producer Prices
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7300+ Downloads
Updated
July 12, 2020
| Dataset date: Jan 1, 1990-Jun 15, 2020
This dataset updates: Every week
This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
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Updated
July 12, 2020
| Dataset date: Jan 15, 1998-Apr 15, 2020
This dataset updates: Every week
This dataset contains Food Prices data for Malawi. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
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20+ Downloads
Updated
July 2, 2020
| Dataset date: Jul 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:
name
population
is_in
source
place
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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Updated
July 2, 2020
| Dataset date: Jan 1, 1987-Dec 31, 2016
This dataset updates: Every month
Contains data from World Health Organization's data portal covering the following categories:
Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, UHC, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS, Noncommunicable diseases and mental health, Health workforce, Neglected Tropical Diseases, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH
For links to individual indicator metadata, see resource descriptions.
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Updated
July 2, 2020
| Dataset date: Dec 1, 2015-May 1, 2017
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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Updated
June 29, 2020
| Dataset date: Jan 1, 2017-May 31, 2020
This dataset updates: As needed
This page provides the data published in the Education in Danger Monthly News Brief.
All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
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Updated
June 29, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2020
This dataset updates: Every year
Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency.
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing methods and time periods are still available for download here: Individual countries and Whole continent.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
https://dx.doi.org/10.5258/SOTON/WP00646
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10+ Downloads
Updated
June 29, 2020
| Dataset date: Jan 1, 2014-Dec 31, 2017
This dataset updates: Every year
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al..
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Malawi 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (
http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00487
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Updated
June 29, 2020
| Dataset date: Jan 1, 2014-Dec 31, 2017
This dataset updates: Every year
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al..
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Malawi 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (
http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00379
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90+ Downloads
Updated
June 29, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2020
This dataset updates: Every year
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data and methods can be found in Tatem et al, a description of the modelling methods used found in Stevens et al, and access to modelling code here.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively).
Individual countries 2000-2020: Consistent 100m resolution population count datasets created using "top-down" methods for all countries of the World for each year 2000-2020.
Individual countries 2000-2020 UN adjusted: Adjusted to match official United Nations population estimates (UN 2019).
Global mosaics 2000-2020: Mosaiced 1km resolution versions of the "Individual countries 2000-2020" datasets.
Bespoke methods for individual countries (WOPR): Bespoke 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
https://dx.doi.org/10.5258/SOTON/WP00645
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Updated
June 25, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2026
This dataset updates: Every month
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
June 25, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2019
This dataset updates: Every month
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.
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Updated
June 25, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2026
This dataset updates: Every month
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.
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Updated
June 25, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2019
This dataset updates: Every month
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.
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Updated
June 25, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2017
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
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Updated
June 25, 2020
| Dataset date: Jan 1, 1960-Dec 31, 2020
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.
