COVID-19 Map Explorer

Submitted by HDX Team
  • Updated May 27, 2020 | Dataset date: Jul 7, 2020
    This dataset updates: As needed
    Immunization campaigns impacted due to COVID-19
  • Updated July 7, 2020 | Dataset date: Jan 8, 2020-Jul 7, 2020
    This dataset updates: Every day
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • Updated July 5, 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.
  • Updated May 13, 2020 | Dataset date: Jan 1, 2017-May 13, 2020
    This dataset updates: As needed
    The IPC Acute Food Insecurity Country Data provides access to IPC population estimates from more than 30 countries. It allows users to download resource data for IPC analyses since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • Updated May 27, 2020 | Dataset date: Mar 30, 2020
    This dataset updates: As needed
    Percentage of children under 5 years of age falling below -3standard deviations (severe) from the median weight-for-height of the reference population
  • Updated June 29, 2020 | Dataset date: Apr 23, 2020
    This dataset updates: As needed
    Global Humanitarian Response Plan COVID-19 administrative level 1 boundaries, gazetteer and population tables for countries covered by the May update of the Global Humanitarian Response Plan COVID-19. Population statistics are available for 37 of the 63 countries or territories. Data fields: ADM1_PCODE: Administrative level 1 (various types) P-code ADM0_PCODE: Administrative level 0 (country or territory) P-code alpha_3: ISO 3166-1 Alpha 3 country or territory identifier ADM0_REF: Administrative level 0 (country or territory) reference name (Latin script without special characters) ADM1_REF: Administrative level 1 (various types) reference name (Latin script without special characters) Population: Most recent available total population. PLEASE SEE CAVEATS
  • The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition.
  • Updated May 27, 2020 | Dataset date: May 27, 2020
    This dataset updates: As needed
    Covid-19 Impact on Humanitarian Operations Data Viz inputs
  • Updated May 29, 2020 | Dataset date: May 29, 2020
    This dataset updates: As needed
    CERF and CBPF pooled funds have allocated a combined total of US$222 million to COVID-19 pandemic responses.
  • Updated July 7, 2020 | Dataset date: Mar 10, 2020-Jul 7, 2020
    This dataset updates: Every day
    This data has been collected from various sources and is displayed in this online dashboard: http://arcg.is/uHyuO Mobile version: http://arcg.is/0q8Xfj The data is divided in two datasets: COVID-19 restrictions by country: This dataset shows current travel restrictions. Information is collected from various sources: IATA, media, national sources, WFP internal or any other. COVID-19 airline restrictions information: This dataset shows restrictions taken by individual airlines or country. Information is collected again from various sources including WFP internal and public sources. The data displayed is a collaborative effort and anybody with more accurate/updated information is highly encouraged to contact WFP GIS unit for Emergencies at the following email address: hq.gis@wfp.org
  • Updated Live | Dataset date: Feb 16, 2020-Jul 7, 2020
    This dataset updates: Live
    The number of children, youth and adults not attending schools or universities because of COVID-19 is soaring. Governments all around the world have closed educational institutions in an attempt to contain the global pandemic. According to UNESCO monitoring, over 100 countries have implemented nationwide closures, impacting over half of world’s student population. Several other countries have implemented localized school closures and, should these closures become nationwide, millions of additional learners will experience education disruption.
  • Updated May 6, 2020 | Dataset date: May 5, 2020
    This dataset updates: As needed
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
  • Updated May 6, 2020 | Dataset date: Mar 26, 2020
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
  • Updated May 30, 2020 | Dataset date: Jan 1, 2008-Dec 31, 2019
    This dataset updates: Every year
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's Global Internal Displacement Database.
  • Updated December 13, 2019 | Dataset date: Jan 1, 2010-Dec 31, 2020
    This dataset updates: Every year
    This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2011 to 2020.
  • Updated May 19, 2020 | Dataset date: Apr 30, 2020
    This dataset updates: As needed
    Country's economic exposure due to COVID-19. Composite indicator based on World Bank's datasets on remittances, food import dependence, primary commodity export dependence, tourism dependence, government indebtedness and foreign currency reserves.
  • Updated June 16, 2020 | Dataset date: Jun 25, 2020
    This dataset updates: As needed
    Compilation of international financial institution and economic data
  • Updated May 1, 2020 | Dataset date: Apr 17, 2020
    This dataset updates: As needed
    The INFORM COVID-19 Risk Index is a composite index that identifies: “countries at risk from health and humanitarian impacts of COVID-19 that could overwhelm current national response capacity, and therefore lead to a need for additional international assistance”. The INFORM COVID-19 Risk Index is primarily concerned with structural risk factors, i.e. those that existed before the outbreak. It can be used to support prioritization of preparedness and early response actions for the primary impacts of the pandemic, and identify countries where secondary impacts are likely to have the most critical humanitarian consequences. The main scope of the INFORM COVID-19 Risk Index is global and regional risk-informed resource allocation, i.e. where comparable understanding of countries’ risk is important. It cannot predict the impacts of the pandemic in individual countries. It does not consider the mechanisms behind secondary impacts - for example how a COVID-19 outbreak could increase conflict risk.