{"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"}
150
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5300+ Downloads
Updated
September 30, 2020
| Dataset date: Mar 1, 2020-Aug 31, 2020
This dataset updates: Every day
These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day.
Full details, including the privacy protections in this data, are available here:
https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
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Updated
September 30, 2020
| Dataset date: Sep 30, 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
September 30, 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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Updated
September 27, 2020
| Dataset date: Jan 1, 2011-Dec 31, 2019
This dataset updates: Every month
Data used to update country toplines in HDX. Contains data from World Bank's data portal.
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Updated
September 27, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2019
This dataset updates: Every year
Food Security Indicators for Malawi.
Contains data from the FAOSTAT bulk data service.
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Updated
September 27, 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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70+ Downloads
Updated
September 22, 2020
| Dataset date: Sep 21, 2020
This dataset updates: Every year
This data contains aggregated weighted statistics at the regional level by gender for the Survey on Gender Equality At Home fielded in July 2020. Facebook’s Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. If you're interested in becoming a Survey on Gender Equality research partner and accessing country level data, please email
gendersurvey@fb.com.
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7800+ Downloads
Updated
September 20, 2020
| Dataset date: Jan 1, 1990-Sep 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
September 20, 2020
| Dataset date: Jan 15, 1998-Jun 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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Updated
Live
| Dataset date: Jan 1, 2015-Dec 31, 2020
This dataset updates: Live
This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
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Updated
September 16, 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
September 14, 2020
| Dataset date: Jul 8, 2020-Jul 10, 2021
This dataset updates: Every year
This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
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Updated
Live
| Dataset date: Sep 28, 2020
This dataset updates: Live
Immunization campaigns impacted due to COVID-19
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Updated
September 9, 2020
| Dataset date: Jan 1, 2018-Dec 31, 2018
This dataset updates: As needed
This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.
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Updated
September 9, 2020
| Dataset date: Jan 1, 2018-Dec 31, 2018
This dataset updates: As needed
This dataset contains events in which an aid worker was involved in a road safety accident (RSA). Categorized by country.
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Updated
September 9, 2020
| Dataset date: Jan 1, 2017-Jun 30, 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
September 7, 2020
| Dataset date: Jan 1, 1970-Dec 31, 2019
This dataset updates: Every three months
Education indicators for Malawi.
Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: Students and Teachers (made 2020 February), Education Expenditure and Funding (made 2020 February), School Resources and Teaching Conditions in Africa (made 2020 February), SDG 4 Global and Thematic (made 2020 February), Demographic and Socio-economic (made 2020 February)
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Updated
September 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
September 1, 2020
| Dataset date: Sep 1, 2020
This dataset updates: Every month
This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
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Updated
August 28, 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
August 28, 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
August 28, 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
August 28, 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
August 28, 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
August 28, 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.
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.
