COVID-19 Pandemic

See multiple data sources across 56 humanitarian operations in the COVID-19 Data Explorer

Data [123]
  • Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
    367000+ Downloads
    This dataset updates: Live
  • Updated 29 July 2021 | Dataset date: March 02, 2020-July 28, 2021
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.
    6300+ Downloads
    This dataset updates: Every day
  • Updated Live | Dataset date: January 08, 2020-July 29, 2021
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
    10000+ Downloads
    This dataset updates: Live
  • Governments are taking a wide range of measures in response to the COVID-19 outbreak. The Oxford COVID-19 Government Response Tracker (OxCGRT) aims track and compare government responses to the coronavirus outbreak worldwide rigorously and consistently. The OxCGRT systematically collects information on several different common policy responses governments have taken, scores the stringency of such measures, and aggregates these scores into a common Stringency Index. For more, please visit > https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker
    5000+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: December 16, 2020-July 28, 2021
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
    1800+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: January 18, 2020-July 29, 2021
    'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.
    18000+ Downloads
    This dataset updates: Live
  • Updated 31 July 2021 | Dataset date: March 10, 2020-May 27, 2021
    This data has been collected from various sources and is displayed in this online dashboard: https://geonode.wfp.org/travel Mobile version: https://geonode.wfp.org/travel_mobile 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
    7500+ Downloads
    This dataset updates: Every day
  • Updated 30 July 2021 | Dataset date: December 16, 2020-July 29, 2021
    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak. Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak. We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak. The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository. United States Data Data on cumulative coronavirus cases and deaths can be found in two files for states and counties. Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information. Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data. State-Level Data State-level data can be found in the us-states.csv file. date,state,fips,cases,deaths 2020-01-21,Washington,53,1,0 ... County-Level Data County-level data can be found in the us-counties.csv file. date,county,state,fips,cases,deaths 2020-01-21,Snohomish,Washington,53061,1,0 ... In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these. Github Repository This dataset contains COVID-19 data for the United States of America made available by The New York Times on github at https://github.com/nytimes/covid-19-data
    7900+ Downloads
    This dataset updates: Every day
  • Updated 27 July 2021 | Dataset date: October 15, 2020-July 31, 2021
    This bucket contains FAIR COVID-19 US county level forecast data
    1900+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: February 19, 2021-July 31, 2021
    This dataset contains COVID-19 vaccine dose availability forecasts as well as actual deliveries for countries with Humanitarian Response Plans. The data on vaccine availability forecasts was manually extracted from the COVAX Facility Interim Distribution Forecast as announced by COVAX on 3 February 2021. Figures for actual deliveries through channels other than COVAX are compiled by OCHA from press reports. The source(s) press releases, official announcements or articles for each such vaccine delivery are included in the dataset.
    500+ Downloads
    This dataset updates: Live
  • Updated 4 July 2021 | Dataset date: May 01, 2020-May 01, 2020
    This dataset contains two APIs with daily COVID-19 Trends and Impact Survey data. The University of Maryland API is for accessing global survey data and CMU API is for accessing US survey data.
    800+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: February 16, 2020-July 31, 2021
    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.
    3900+ Downloads
    This dataset updates: Live
  • Updated 26 February 2021 | Dataset date: September 21, 2020-September 21, 2020
    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, please email gendersurvey@fb.com.
    1700+ Downloads
    This dataset updates: Every year
  • Updated 10 December 2020 | Dataset date: March 17, 2020-March 17, 2020
    The #COVID19 Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic. Data collection includes secondary data review. The researched information available falls into five categories: Social distancing Movement restrictions Public health measures Social and economic measures Lockdowns Each category is broken down into several types of measures. ACAPS consulted government, media, United Nations, and other organisations sources. For any comments, please contact us at info@acaps.org Please note note that some measures together with non-compliance policies may not be recorded and the exact date of implementation may not be accurate in some cases, due to the different way of reporting of the primary data sources we used.
    30000+ Downloads
    This dataset updates: Never
  • Updated 2 July 2021 | Dataset date: April 21, 2020-July 31, 2021
    This dataset contains the number of confirmed cases, recoveries and deaths by country and subnational region due to the Coronavirus pandemic in Europe. Since the outbreak of the COVID-19 crisis, the Joint Research Centre (JRC) has been supporting the European Commission in multidisciplinary areas to understand the COVID-19 emergency, anticipate its impacts, and support contingency planning. This data provides an overview of the monitoring in the area of the 34 UCPM Participating States plus Switzerland related to sub-national data (admin level 1) on numbers of contagious and fatalities by COVID-19, collected directly from the National Authoritative sources (National monitoring websites, when available). The sub-national granularity of the data allows to have a fit-for-purpose model to early capture the local spread and response to the COVID-19 outbreak. The data is maintained on the JRC COVID-19 Github Repository
    2000+ Downloads
    This dataset updates: As needed
  • Updated 19 July 2021 | Dataset date: January 01, 1960-December 31, 2019
    World Bank Indicators of Interest to the COVID-19 Outbreak. This link is to a collection in the World Bank data catalog that contains datasets that may be useful for analysis, response or modelling.
    6400+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: December 14, 2020-July 19, 2021
    Immunization campaigns impacted due to COVID-19
    700+ Downloads
    This dataset updates: Live
  • Updated 31 July 2021 | Dataset date: February 07, 2021-July 31, 2021
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture the impact of COVID-19 on children's education. More relevant information below: The booklet included HERE goes into more details on how Premise's crowdsourcing works.
    200+ Downloads
    This dataset updates: Every day
  • Updated Live | Dataset date: December 31, 2019-February 08, 2021
    Data collected by the European Centre for Disease Prevention and Control. The downloadable data file is updated daily and contains the latest available public data on COVID-19. Public-use data files allows users to manipulate the data in a format appropriate for their analyses. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes. For further information, visit https://www.ecdc.europa.eu/en/novel-coronavirus-china.
    2800+ Downloads
    This dataset updates: Live
  • Updated 31 July 2021 | Dataset date: January 01, 2019-July 31, 2021
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Afghanistan.
    900+ Downloads
    This dataset updates: Every day
  • Updated 23 July 2021 | Dataset date: June 01, 2019-July 31, 2021
    Raw Global 3W national data visualized in the Global Humanitarian Operational Presence Who, What, Where (3W) Portal as of 23 July 2021 Fields: 'country code' -- example 'UKR' for Ukraine 'sector' -- example 'CCCM' = Camp Coordination / Management 'organization' -- Organization name provided in the field inputs 'type' -- INGO (International NGO), NNGO (National NGO), UN (United Nations), 'Undefined', or 'Other' 'COVID 19' -- 'yes' / 'no' (pertaining to the context) '3W date' -- date of data applicability 'Display Name' -- Organization name - standardized as much as possible Note these intended to be cleaned and standardized, though language variations (such as "Acción Contra el Hambre" / "Action Against Hunger" / "Action Contre La Faim"), and national offices of international organizations (such as "Caritas Internationalis - Nigeria" / "Caritas Internationalis - Switzerland") are preserved. Note also that the names of some organizations working in Protection have been suppressed. Users with questions are encouraged to use the 'Contact the contributor' button below.
    3700+ Downloads
    This dataset updates: Every week
  • Updated 29 July 2021 | Dataset date: December 15, 2020-July 31, 2021
    Covid-19 Impact on Humanitarian Operations Data Viz inputs
    900+ Downloads
    This dataset updates: Every day
  • Updated 27 July 2021 | Dataset date: February 27, 2020-July 18, 2021
    Subnational data about Covid19 in Nigeria per day - Infections (new cases), Deaths, Recoveries + Gender data per region (only April - October). VACCINATION DATA will be added soon
    3700+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: May 11, 2020-May 11, 2020
    This dataset contains the number of tested cases, confirmed cases, recoveries and deaths by township due to the Coronavirus pandemic in Myanmar.
    100+ Downloads
    This dataset updates: Live
  • Updated 1 February 2021 | Dataset date: May 21, 2020-May 21, 2020
    While communities around the world face COVID-19, health authorities have revealed the same type of aggregated and anonymized information that they use in products like Google Maps could help them make fundamental decisions to combat COVID-19. The purpose of these Local Mobility Reports is to provide valuable information on the changes that have occurred in the mobility of people as a consequence of the policies that have been established to combat COVID - 19. These reports detail the movement trends as Over time arranged by geographical areas and classified into various categories of places, such as shops and leisure spaces, supermarkets and pharmacies, parks, public transport stations, workplaces and residential areas. More information in: https://www.google.com/covid19/mobility/
    300+ Downloads
    This dataset updates: Every month
  • Updated Live | Dataset date: December 01, 2019-July 30, 2021
    Data Overview This repository contains spatiotemporal data from many official sources for 2019-Novel Coronavirus beginning 2019 in Hubei, China ("nCoV_2019") You may not use this data for commercial purposes. If there is a need for commercial use of the data, please contact Metabiota at info@metabiota.com to obtain a commercial use license. The incidence data are in a CSV file format. One row in an incidence file contains a piece of epidemiological data extracted from the specified source. The file contains data from multiple sources at multiple spatial resolutions in cumulative and non-cumulative formats by confirmation status. To select a single time series of case or death data, filter the incidence dataset by source, spatial resolution, location, confirmation status, and cumulative flag. Data are collected, structured, and validated by Metabiota’s digital surveillance experts. The data structuring process is designed to produce the most reliable estimates of reported cases and deaths over space and time. The data are cleaned and provided in a uniform format such that information can be compared across multiple sources. Data are collected at the time of publication in the highest geographic and temporal resolutions available in the original report. This repository is intended to provide a single access point for data from a wide range of data sources. Data will be updated periodically with the latest epidemiological data. Metabiota maintains a database of epidemiological information for over two thousand high-priority infectious disease events. Please contact us (info@metabiota.com) if you are interested in licensing the complete dataset. Cumulative vs. Non-Cumulative Incidence Reporting sources provide either cumulative incidence, non-cumulative incidence, or both. If the source only provides a non-cumulative incidence value, the cumulative values are inferred using prior reports from the same source. Use the CUMULATIVE FLAG variable to subset the data to cumulative (TRUE) or non-cumulative (FALSE) values. Case Confirmation Status The incidence datasets include the confirmation status of cases and deaths when this information is provided by the reporting source. Subset the data by the CONFIRMATION_STATUS variable to either TOTAL, CONFIRMED, SUSPECTED, or PROBABLE to obtain the data of your choice. Total incidence values include confirmed, suspected, and probable incidence values. If a source only provides suspected, probable, or confirmed incidence, the total incidence is inferred to be the sum of the provided values. If the report does not specify confirmation status, the value is included in the "total" confirmation status value. The data provided under the "Metabiota Composite Source" often does not include suspected incidence due to inconsistencies in reporting cases and deaths with this confirmation status. Outcome - Cases vs. Deaths The incidence datasets include cases and deaths. Subset the data to either CASE or DEATH using the OUTCOME variable. It should be noted that deaths are included in case counts. Spatial Resolution Data are provided at multiple spatial resolutions. Data should be subset to a single spatial resolution of interest using the SPATIAL_RESOLUTION variable. Information is included at the finest spatial resolution provided to the original epidemic report. We also aggregate incidence to coarser geographic resolutions. For example, if a source only provides data at the province-level, then province-level data are included in the dataset as well as country-level totals. Users should avoid summing all cases or deaths in a given country for a given date without specifying the SPATIAL_RESOLUTION value. For example, subset the data to SPATIAL_RESOLUTION equal to “AL0” in order to view only the aggregated country level data. There are differences in administrative division naming practices by country. Administrative levels in this dataset are defined using the Google Geolocation API (https://developers.google.com/maps/documentation/geolocation/). For example, the data for the 2019-nCoV from one source provides information for the city of Beijing, which Google Geolocations indicates is a “locality.” Beijing is also the name of the municipality where the city Beijing is located. Thus, the 2019-nCoV dataset includes rows of data for both the city Beijing, as well as the municipality of the same name. If additional cities in the Beijing municipality reported data, those data would be aggregated with the city Beijing data to form the municipality Beijing data. Sources Data sources in this repository were selected to provide comprehensive spatiotemporal data for each outbreak. Data from a specific source can be selected using the SOURCE variable. In addition to the original reporting sources, Metabiota compiles multiple sources to generate the most comprehensive view of an outbreak. This compilation is stored in the database under the source name “Metabiota Composite Source.” The purpose of generating this new view of the outbreak is to provide the most accurate and precise spatiotemporal data for the outbreak. At this time, Metabiota does not incorporate unofficial - including media - sources into the “Metabiota Composite Source” dataset. Quality Assurance Data are collected by a team of digital surveillance experts and undergo many quality assurance tests. After data are collected, they are independently verified by at least one additional analyst. The data also pass an automated validation program to ensure data consistency and integrity. NonCommercial Use License Creative Commons License Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) This is a human-readable summary of the Legal Code. You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one. With the understanding that: Waiver — Any of the above conditions can be waived if you get permission from the copyright holder. Public Domain — Where the work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license. Other Rights — In no way are any of the following rights affected by the license: Your fair dealing or fair use rights, or other applicable copyright exceptions and limitations; The author's moral rights; Rights other persons may have either in the work itself or in how the work is used, such as publicity or privacy rights. Notice — For any reuse or distribution, you must make clear to others the license terms of this work. The best way to do this is with a link to this web page. For details and the full license text, see http://creativecommons.org/licenses/by-nc-sa/3.0/ Liability Metabiota shall in no event be liable for any decision taken by the user based on the data made available. Under no circumstances, shall Metabiota be liable for any damages (whatsoever) arising out of the use or inability to use the database. The entire risk arising out of the use of the database remains with the user.
    5700+ Downloads
    This dataset updates: Live
  • Updated 4 June 2021 | Dataset date: March 25, 2020-June 04, 2021
    This data is about the humanitarian activities by civil society organizations, clusters/sectors, government, private organizations, UN agencies and Red Cross related to COVID-19.
    1800+ Downloads
    This dataset updates: As needed
  • Updated 16 July 2021 | Dataset date: November 14, 2020-May 17, 2021
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
    100+ Downloads
    This dataset updates: Every month
  • Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.
    700+ Downloads
    This dataset updates: Every week
  • Updated 12 October 2020 | Dataset date: September 12, 2020-September 12, 2020
    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.
    2800+ Downloads
    This dataset updates: As needed
  • Updated 20 April 2021 | Dataset date: December 31, 2019-September 23, 2020
    The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries. The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff. The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include: • Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines • Policy-related: government coordination and legal authorization, public communications and education, movement restrictions • Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces • Economic measures: economic and social measures, logistics / supply chains and security. We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database. Comments on the data can be submitted to covid.database.comments@dalberg.com Questions can be submitted to covid.database.questions@dalberg.com www.dalberg.com
    1700+ Downloads
    This dataset updates: Every two weeks
  • Updated 26 January 2021 | Dataset date: February 01, 2020-August 31, 2020
    This dataset represents the geographical distribution of Twitter users and tweets related to Coronavirus (COVID-19) pandemic at three levels. The data was collected and processed by the AIDR system (http://aidr.qcri.org). See the individual resources/files for more details about the datasets.
    2500+ Downloads
    This dataset updates: Every six months
  • Updated 29 July 2021 | Dataset date: November 30, 2020-July 28, 2021
    Understanding gender is essential to understanding the risk factors of poor health, early death and health inequities. The COVID-19 outbreak is no different. At this point in the pandemic, we are unable to provide a clear answer to the question of the extent to which sex and gender are influencing the health outcomes of people diagnosed with COVID-19. However, experience and evidence thus far tell us that both sex and gender are important drivers of risk and response to infection and disease. In order to understand the role gender is playing in the COVID-19 outbreak, countries urgently need to begin both collecting and publicly reporting sex-disaggregated data. At a minimum, this should include the number of cases and deaths in men and women. In collaboration with CNN, Global Health 50/50 began compiling publicly available sex-disaggregated data reported by national governments to date and is exploring how gender may be driving the higher proportion of reported deaths in men among confirmed cases so far. For more, please visit: http://globalhealth5050.org/covid19
    1200+ Downloads
    This dataset updates: Every month
  • Updated 27 July 2021 | Dataset date: March 22, 2020-July 25, 2021
    This dataset contains the number of confirmed cases, deaths and recoveries by province due to the Coronavirus pandemic in Mozambique.
    7200+ Downloads
    This dataset updates: Every week
  • Updated 4 April 2021 | Dataset date: August 01, 2020-July 31, 2021
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
    200+ Downloads
    This dataset updates: As needed
  • Updated 31 July 2021 | Dataset date: April 01, 2021-July 29, 2021
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
    200+ Downloads
    This dataset updates: Every day
  • Updated 19 May 2020 | Dataset date: April 30, 2020-April 30, 2020
    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.
    1300+ Downloads
    This dataset updates: As needed
  • Updated 20 January 2021 | Dataset date: May 17, 2020-July 31, 2021
    Figures about the evolution of Covid19 in African countries, new infected, recovered and deceased per day and cumulative cases of infected, recovered and deceased.
    400+ Downloads
    This dataset updates: As needed
  • Updated 2 February 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset includes the latest available information on COVID-19 developments impacting the security of aid and health work and operations to help aid agencies meet duty of care obligations to staff and reach people in need.
    2400+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: January 09, 2005-May 17, 2020
    This dataset contains excess mortality data for the period covering the 2020 Covid-19 pandemic. The data contains the excess mortality data for all known jurisdictions which publish all-cause mortality data meeting the following criteria: daily, weekly or monthly level of granularity includes equivalent historical data for at least one full year before 2020, and preferably at least five years (2015-2019) includes data up to at least April 1, 2020 Most countries publish mortality data with a longer periodicity (typically quarterly or even annually), a longer publication lag time, or both. This sort of data is not suitable for ongoing analysis during an epidemic and is therefore not included here. "Excess mortality" refers to the difference between deaths from all causes during the pandemic and the historic seasonal average. For many of the jurisdictions shown here, this figure is higher than the official Covid-19 fatalities that are published by national governments each day. While not all of these deaths are necessarily attributable to the disease, it does leave a number of unexplained deaths that suggests that the official figures of deaths attributed may significant undercounts of the pandemic's impact.
    1100+ Downloads
    This dataset updates: Live
  • Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
    100+ Downloads
    This dataset updates: Every three months
  • Updated 22 February 2021 | Dataset date: March 01, 2020-February 04, 2021
    Region-level data collected from the official website of Russian Federal Agency Rospotrebnadzor (https://стопкоронавирус.рф/). Dataset exists attributes: data, infected, recovered, died. The dataset contains information of 85 Russian regions.
    40+ Downloads
    This dataset updates: Every day
  • Updated 22 February 2021 | Dataset date: January 06, 2020-February 04, 2021
    This dataset from original data of COVID-19 statistics collected from the official website of Moscow government.
    200+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: January 01, 2020-January 03, 2021
    This dataset contains the number of confirmed cases by state due to the Coronavirus pandemic in Venezuela.
    800+ Downloads
    This dataset updates: Live
  • Updated 11 May 2020 | Dataset date: April 24, 2020-April 24, 2020
    Public health and social measures (PHSMs) are measures or actions by individuals, institutions, communities, local and national governments and international bodies to slow or stop the spread of an infectious disease, such as COVID-19. Since the start of the COVID-19 pandemic, a number of organizations have begun tracking implementation of PHSMs around the world, using different data collection methods, database designs and classification schemes. A unique collaboration between WHO, the London School of Hygiene and Tropical Medicine, ACAPS, University of Oxford, Global Public Health Intelligence Network, US Centers for Disease Control and Prevention and the Complexity Science Hub Vienna has brought these datasets together, using a common taxonomy and structure, into a single, open-content dataset for public use.
    400+ Downloads
    This dataset updates: As needed
  • Updated 6 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    UNICEF Eastern and Southern Africa Risks and Hazards- situation and response
    100+ Downloads
    This dataset updates: Never
  • Updated 21 July 2020 | Dataset date: February 23, 2020-March 13, 2020
    The dataset contains estimates of changes in human mobility during the COVID-19 outbreak. These data underly the reports published at https://covid19mm.github.io/. For more details about the data see https://covid19mm.github.io/data.html. If you find the data helpful or you use the data for your research, please cite our work: Pepe, E., Bajardi, P., Gauvin, L., Privitera, F., Lake, B., Cattuto, C., & Tizzoni, M. (2020). COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown. Scientific Data 7, 230 (2020).
    2500+ Downloads
    This dataset updates: As needed
  • Updated 4 September 2020 | Dataset date: August 31, 2020-August 31, 2020
    The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.
    200+ Downloads
    This dataset updates: As needed
  • Updated 31 July 2021 | Dataset date: March 13, 2020-July 31, 2021
    Number of COVID-19 confirmed cases by region and date
    20+ Downloads
    This dataset updates: Every day
  • Updated 5 February 2021 | Dataset date: November 20, 2020-December 14, 2020
    Democratic Republic of the Congo Coronavirus(COVID-19) Subnational Cases per province. The dataset has been made available on the Food security cluster website. It is made available via a collaboration between multiple agencies including: DR Congo Ministry of Health, World Health Organisation, UNICEF, JICA, CDC, PATH and IOM
    80+ Downloads
    This dataset updates: As needed
  • Updated 11 March 2021 | Dataset date: February 03, 2021-February 03, 2021
    This dataset contains a forecast on early availability of doses of the Pfizer-BioNTech vaccine and the AstraZeneca/Oxford vaccine to COVAX Facility participants. The forecast is as at 3 February 2021. This dataset contains figures on indicative distribution of 240 million doses of the AstraZeneca/Oxford vaccine, licensed to Serum Institute of India (SII) and 96 million doses of the AstraZeneca/Oxford vaccine, under the advance purchase agreement between Gavi, the Vaccine Alliance and AstraZeneca for Q1 & Q2 2021. It also contains an overview of exceptional first round allocation of 1.2 million doses of the WHO Emergency Use Listing (EUL)-approved Pfizer-BioNTech vaccine for Q1 2021. The data was manually extracted from the The COVAX Facility Interim Distribution Forecast which was announced by COVAX on 3 February 2021.
    60+ Downloads
    This dataset updates: Never
  • Updated 31 July 2021 | Dataset date: November 15, 2020-July 31, 2021
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture current COVID-19 awareness around testing availability and symptoms, and identifies users who have moved to a different state in the last year. More relevant information below: The booklet included HERE goes into more details on how Premise's crowdsourcing works.
    200+ Downloads
    This dataset updates: Every day
  • Updated 22 February 2021 | Dataset date: December 01, 2020-February 19, 2021
    The dataset contains 93 harmonized indicators on 14 topics (demographic, food security, education, labor, health..) on households and individuals in 44 countries across all developing regions.
    400+ Downloads
    This dataset updates: As needed
  • This data and report examine perceptions and the impact of COVID-19 in 12 countries throughout sub-Saharan Africa. Topics covered include greatest concerns surrounding coronavirus, preventative measures being taken, changes in food market operability and food security, consumer behavior changes, and trust in governments to prevent the spread of coronavirus. This dataset includes data from 10 of the markets. Please contact us for access to data from all markets, the questionnaire, and with any other questions.
    500+ Downloads
    This dataset updates: As needed
  • Updated 30 September 2020 | Dataset date: April 23, 2020-April 23, 2020
    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. 13 OCTOBER 2020 UPDATE: The Ethiopia - Subnational Administrative Boundaries dataset has been updated with changes at administrative level 1 and below. However, as the Ethiopia - Subnational Population Statistics dataset has not been updated and no longer matches, this global dataset has not yet been updated. 30 SEPTEMBER 2020 UPDATE: The dataset has been updated to reflect official Brazil P-codes. Users should note that the Brazil P-codes in earlier versions no longer correspond to the current CODs. 17 SEPTEMBER 2020 UPDATE: The dataset has been updated to reflect the new (2020) Paraguay COD-PS projections and the adjusted Paraguay P-codes. Users should note that the Paraguay P-codes in earlier versions no longer correspond to the current CODs. 26 AUGUST 2020 UPDATE: administrative level 1 total population statistics have been added for the following 11 countries: Benin , Djibouti, Liberia, Pakistan, Panama, Philippines, Paraguay, Sierra Leone, Togo, Uruguay, Zimbabwe. Population statistics are now available for 48 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
    1300+ Downloads
    This dataset updates: As needed
  • Updated 4 June 2021 | Dataset date: March 16, 2020-June 03, 2020
    This data is about the Risk Communication and Community Engagement on COVID-19 related humanitarian activities in the Philippines.
    1500+ Downloads
    This dataset updates: As needed
  • Updated 27 July 2021 | Dataset date: March 09, 2020-July 24, 2021
    Covid-19 data at the city level in Burkina Faso - Infections (new cases, gender), Deaths, Recoveries + Urban / Rural locations.
    900+ Downloads
    This dataset updates: Every week
  • Updated 7 July 2021 | Dataset date: May 11, 2020-April 29, 2021
    COvid 19 subnational data for iraq
    100+ Downloads
    This dataset updates: As needed
  • Updated 22 July 2021 | Dataset date: March 09, 2020-July 19, 2021
    Subnational data about Covid19 in Burkina Faso - Infected (new cases, gender), Deceased, Recovered. NEW (!) : VACCINATION DATA PER REGION
    1300+ Downloads
    This dataset updates: Every week
  • Updated 22 July 2020 | Dataset date: June 11, 2020-July 06, 2020
    This data looks at the impact of COVID-19 on employment, income, ability to pay expenses, and more in Côte D'Ivoire, Kenya, Mozambique Nigeria, and South Africa. Data is nationally representative by age, gender, and location, and is broken down by job type and formal or informal workers. Please contact us for data broken down by province or more information on the methodology.
    200+ Downloads
    This dataset updates: As needed
  • Updated 4 May 2021 | Dataset date: January 01, 2020-May 03, 2021
    Covid-19 recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    100+ Downloads
    This dataset updates: As needed
  • Updated 24 May 2021 | Dataset date: April 12, 2021-April 12, 2021
    As a follow up to GeoPoll’s 2020 reports on the impact of COVID-19 in sub-Saharan Africa, GeoPoll conducted a survey to assess the ongoing effects of the pandemic on respondents’ finances, spending, and health, their thoughts and concerns about the vaccine, and their hopes for the future. The study was conducted by SMS in March 2021 in Côte D’Ivoire, the Democratic Republic of Congo (DRC), Kenya, Mozambique, Nigeria, and South Africa. Sample size of 400 per country, nationally representative by age, gender and location (ADM1). To request sub-national data contact info@geopoll.com.
    40+ Downloads
    This dataset updates: As needed
  • Updated 7 February 2021 | Dataset date: May 14, 2020-July 17, 2020
    The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. 1,332 households were reached. The survey consent rate was 51 percent. From these households, 3,529 individuals were selected and interviewed.
    10+ Downloads
    This dataset updates: Never
  • Subnational Covid19 vaccination data in Burkina Faso per region from the beginning of the vaccination campaign. Vaccine type : AstraZeneca Details : first dose Covax initiative Data : new vaccinated, cumulative vaccinated, new health workers vaccinated, cumulative health workers vaccinated Please note that the architecture might change in the near future to add 2nd doses information
    100+ Downloads
    This dataset updates: Every week
  • Updated 6 May 2020 | Dataset date: March 26, 2020-March 26, 2020
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
    1000+ Downloads
    This dataset updates: As needed
  • Updated 9 December 2020 | Dataset date: December 30, 2020-December 30, 2020
    This data is a zipped shapefile of the COVID-19 risk index based on the INFORM index framework.
    30+ Downloads
    This dataset updates: Never
  • Updated 25 August 2020 | Dataset date: March 25, 2020-August 24, 2020
    This dataset contains the number of confirmed cases, recoveries and deaths by admin level 2 due to the Coronavirus pandemic in Mali.
    200+ Downloads
    This dataset updates: As needed
  • Updated 6 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    COVID-19 Situation and Response Dashboard for Annual 2020
    100+ Downloads
    This dataset updates: Never
  • Updated 31 March 2020 | Dataset date: March 26, 2020-March 26, 2020
    COVID-19 Travel Restriction Monitoring - Using secondary data sources, such as the International Air Transport Association (IATA), media reports and information direct from IOM missions, this platform maps and analyzes the various country, territories and areas imposing restrictions, and those with restrictions being imposed upon them, all categorized by restriction type. All analyses is presented at country level.
    1200+ Downloads
    This dataset updates: As needed
  • Updated 2 December 2020 | Dataset date: September 09, 2020-September 09, 2020
    The objective of the dataset is to provide information that enables decision makers to better direct their efforts in addressing the wider effects of the COVID-19 pandemic. The dataset will track secondary impacts across a wide range of relevant themes: economy, health, migration, education to name a few. A set of around 80 impact indicators anticipated to be impacted by COVID-19 have been identified and organised across 4 pillars and 13 thematic blocks. Additionally, a set of around 25 pre-COVID-19 baseline indicators have been selected for each pillar. The data collection is conducted on a country-level and identifies the secondary impacts the COVID- 19 pandemic is having in more than 190 countries. Data comes from a range of available sources, including international organisations, research centres, and media analysis. Note: These are the preliminary results of the data collection on secondary impacts. This dataset is currently in the beta-testing phase, we will keep improving and updating in the coming weeks.
    300+ Downloads
    This dataset updates: Never
  • Updated 4 January 2021 | Dataset date: January 01, 2020-January 03, 2021
    Covid-19 cases (infections, recoveries, deaths and cumulative cases) at the national level in Ethiopia since the beginning of the outbreak
    500+ Downloads
    This dataset updates: As needed
  • Updated 10 December 2020 | Dataset date: November 24, 2020-November 24, 2020
    This study was conducted by SMS in late November in Côte D'Ivoire, DRC, Kenya, Mozambique, Nigeria, and South Africa. Topics covered include the ongoing impacts of COVID-19 on finances, physical and mental health, and spending on goods. Additionally, the study covers perceptions of vaccine safety and effectiveness and willingness to take a COVID-19 vaccine. Sample size of 500/country, nationally representative by age, gender, and location (ADM1). To request sub-national data please contact info@geopoll.com
    100+ Downloads
    This dataset updates: As needed
  • Updated 23 June 2021 | Dataset date: July 28, 2020-July 31, 2021
    Number of COVID-19 confirmed cases by region and date
    10+ Downloads
    This dataset updates: Every day
  • Updated 1 February 2021 | Dataset date: July 29, 2020-November 30, 2020
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
    100+ Downloads
    This dataset updates: As needed
  • Updated 20 April 2021 | Dataset date: October 04, 2020-October 04, 2020
    Community perceptions and feedback
    90+ Downloads
    This dataset updates: Every month
  • Updated 27 July 2021 | Dataset date: January 16, 2021-July 26, 2021
    Covid19 data at the city level in Mauritania - Infections (new cases), Deaths, Recoveries.
    100+ Downloads
    This dataset updates: Every week
  • Updated 6 May 2020 | Dataset date: May 05, 2020-May 05, 2020
    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).
    1100+ Downloads
    This dataset updates: As needed
  • Updated 29 March 2021 | Dataset date: May 06, 2020-May 23, 2021
    This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
    100+ Downloads
    This dataset updates: Every day
  • Updated 13 April 2020 | Dataset date: April 13, 2020-April 13, 2020
    This dataset contains information about COVID-19 health facilities and testing capacity per province in Afghanistan.
    60+ Downloads
    This dataset updates: As needed
  • Updated 19 October 2020 | Dataset date: September 24, 2020-September 24, 2020
    This dataset contains the number of confirmed cases, recoveries and deaths by locations due to the Coronavirus pandemic in Libya.
    100+ Downloads
    This dataset updates: As needed
  • The dataset contains IDPs, Returnees and Refugees at sub national level with information on IDPs in camps and host communities. IOM set up and rolled out the first round of the DTM in November 2015 with the objective of providing regular, accurate and updated information on displaced populations within the Far North region of Cameroon to better support the response of the Government of Cameroon and the humanitarian community.
    4000+ Downloads
    This dataset updates: Every six months
  • Updated 1 January 2021 | Dataset date: July 29, 2020-September 27, 2020
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
    100+ Downloads
    This dataset updates: As needed
  • This dataset contains information from four waves of the COVID-19 RRPS, which is part of a bi-monthly panel survey that targets Kenyan nationals and refugees and started in May 2020. The same households are interviewed every two months, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques. Sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. The “wave” variable represents in which wave the households were interviewed in. All waves of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge. The data set contains three files. The first is the hh file, which contains household level information. The ‘hhid’, uniquely identifies all household. The second is the adult level file, which contains data at the level of adult household members. Each adult in a household is uniquely identified by the ‘adult_ID’. The third file is child level file, which contain information for every child in the household. Each child in a household is uniquely identified by the ‘child_id’. The duration of data collection for each wave was: Wave 1: May 14 to July 7, 2020 Wave 2: July 16 to September 18, 2020 Wave 3: September 18 to November 28, 2020 Wave 4: January 15 to March 25, 2021 The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
    This dataset updates: Never
  • The dataset contains number of displaced persons by gender and age dis-aggregated. Dataset contains data on Covid-19, WASH, Shelter and other needs.
    100+ Downloads
    This dataset updates: Every six months
  • Updated 15 January 2021 | Dataset date: January 07, 2021-July 31, 2021
    Consolidated information of different events happened in the Philippines in 2020 such, Taal volcano eruption, COVID-19, earthquakes, and typhoons.
    70+ Downloads
    This dataset updates: Never
  • Updated 1 May 2020 | Dataset date: April 23, 2020-April 23, 2020
    INFORM is a multi-stakeholder forum for developing shared, quantitative analysis relevant to humanitarian crises and disasters. INFORM includes organisations from across the multilateral system, including the humanitarian and development sector, donors, and technical partners. The Joint Research Center of European Commission is the scientific and technical lead for INFORM. In response to the COVID-19 pandemic, INFORM has released a COVID Risk Index to support the specific decision-making needs of humanitarian and other organisations. The following is an analysis that addresses key questions for humanitarian organisations by combining information from 3 INFORM products: • The new INFORM COVID Risk Index, which 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 Risk Index is • The INFORM Risk Index (Mid-2020 version), which identifies “countries at risk from humanitarian emergencies that could overwhelm current national response capacity, and therefore lead to a need for international assistance”. The INFORM Risk Index takes into account natural and human hazards, as well as vulnerability and lack of coping capacity. • The INFORM Severity Index (March 2020 version) is a regularly updated model for measuring the severity of humanitarian crises globally, which brings together indicators of impact, conditions of affected people, and complexity.
    400+ Downloads
    This dataset updates: As needed
  • Updated 23 April 2021 | Dataset date: October 14, 2020-March 14, 2021
    This data set includes vaccine-related rumour content from Internew's Rooted in Trust Project. The data set contains instances of COVID-19 related rumours shared on social media and in person with Internews in Afghanistan, Lebanon, Philippines, Colombia, Sudan, Mali, and CAR in 2020 and 2021.
    This data is by request only
  • Updated 14 April 2021 | Dataset date: January 31, 2016-December 31, 2016
    UNICEF Indicators of Interest to the COVID-19 Outbreak
    200+ Downloads
    This dataset updates: Every year
  • The COVID- 19 pandemic is having an unprecedented impact on people's lives. The pandemic is no doubt evolving into an economic and labor market downturn affecting all communities. In Zambia, daily status updates by the Ministry of Health indicate that, the cumulative number of cases are nearing 2,000 (as of 10th July 2020). The pandemic has further compounded the already distressed macroeconomic outlook. Cognisant of the resultant effect on economic systems, including trade restrictions, limited mobility of people and goods, and restricted movement in and out of the refugee settlements, a multi- stakeholder rapid assessment was conducted (2,796 respondents) during the period 8th to 19th June to quantify /determine measurable impact on refugees and hosting community livelihoods. The rapid survey was conducted in Lusaka and in the three refugee settlements and hosting villages of Zambia based on stratified random sampling.
    This dataset updates: Never
  • Updated 26 May 2020 | Dataset date: May 26, 2020-May 26, 2020
    The COVID-19 Humanitarian Exemptions to Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic.
    100+ Downloads
    This dataset updates: As needed
  • Updated 27 July 2020 | Dataset date: April 24, 2020-April 24, 2020
    List of coronavirus (COVID-19) global appeals and plans.
    90+ Downloads
    This dataset updates: As needed
  • Updated 4 March 2021 | Dataset date: July 29, 2020-November 30, 2020
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
    100+ Downloads
    This dataset updates: As needed
  • Updated 13 May 2020 | Dataset date: October 11, 2020-March 22, 2021
    This dataset contains operational presence of humanitarian partners in Sudan at Admin 1 level in response to Coronavirus pandemic.
    50+ Downloads
    This dataset updates: As needed
  • Further the emergence of COVID-19 and the perceived socioeconomic hardship imposed by the measures put in place to curtail the spread of the virus, the United High Commissioner for Refugees (UNHCR) in conjunction with several partners in Nigeria carried out a study to understand the socioeconomic impact of COVID-19 among Persons of Concern to UNHCR including refugees, internally displaced persons, returnees, asylum-seekers, stateless persons and community members hosting displaced populations. The study examines several dimensions including the impact of the pandemic on economic, social, cultural, civil, and political rights.
    10+ Downloads
    This dataset updates: Never
  • Updated 16 July 2020 | Dataset date: April 29, 2020-July 16, 2020
    This dataset contains the number of confirmed cases, recoveries and deaths by admin 1 due to the Coronavirus pandemic in Ethiopia.
    300+ Downloads
    This dataset updates: As needed
  • Updated 11 December 2020 | Dataset date: April 13, 2020-May 28, 2020
    West and Central Africa Coronavirus covid-19 situation
    600+ Downloads
    This dataset updates: Every week
  • Updated 7 April 2021 | Dataset date: March 12, 2021-March 12, 2021
    Compilation of international financial institution and economic data
    100+ Downloads
    This dataset updates: As needed
  • Updated 27 October 2020 | Dataset date: August 31, 2020-August 31, 2020
    Rapid data that track some of the indirect socioeconomic impacts of COVID-19. It is based on recent data collection efforts from UNICEF Country Offices and UNICEF National Committees that entails a survey of over 100 questions. For more, visit: https://data.unicef.org/resources/rapid-situation-tracking-covid-19-socioeconomic-impacts-data-viz/
    400+ Downloads
    This dataset updates: As needed
  • Updated 19 February 2021 | Dataset date: June 30, 2020-July 31, 2021
    Registry of Russian social-oriented non profit organizations recognized by the government as affected by COVID-19 and that receive government support. The Ministry of Economic Development of Russia published the register of non profit non government organizations (NGOs) that will be provided with additional measures of support. Dataset columns: name of organization, OGRN, INN, Responsible government agency, Status, Orgform. The dataset contains information about 11 208 NGOs of 85 Russian regions.
    60+ Downloads
    This dataset updates: Every year
  • Updated Live | Dataset date: August 20, 2020-August 20, 2020
    CERF and CBPF pooled funds have allocated a combined total of US$222 million to COVID-19 pandemic responses.
    70+ Downloads
    This dataset updates: Live