Search for a Dataset - Humanitarian Data Exchange

Africa: Covid-19 Cumulative Deaths (National)

HERA - Humanitarian Emergency Response Africa

600+ Downloads

Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: HERA - Africa - Covid-19

Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.

Africa: Covid-19 Infections (National)

HERA - Humanitarian Emergency Response Africa

800+ Downloads

Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: HERA - Africa - Covid-19

Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.

Africa: Covid-19 Cumulative infections (National)

HERA - Humanitarian Emergency Response Africa

500+ Downloads

Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: HERA - Africa - Covid-19

Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.

Africa: Coronavirus (Covid-19) Continental cases (Infections, Recoveries and Deaths)

HERA - Humanitarian Emergency Response Africa

1300+ Downloads

Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More

This dataset updates: As needed

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.

Global Food Prices Database (WFP)

WFP - World Food Programme

10000+ Downloads

Time Period of the Dataset [?]: January 01, 1990-August 15, 2021 ... More

This dataset updates: Never

This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some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.

CSV

Burkina Faso - Standardized Expanded Nutrition Survey - 2014

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: July 01, 2014-July 30, 2014 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - SENS Survey

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou, Mentao and Sag-Nioniogo refugee camps in July 2014. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP), IEDA Relief, UN Children's Fund (UNICEF), Médicins du Monde France, Action Against Hunger (ACF), Save the Children and Association Tin Hinan. The report is not available.

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Burkina Faso - Standardized Expanded Nutrition Survey - 2015

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: December 12, 2015-December 23, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - SENS Survey

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou and Mentao refugee camps in December 2015. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP), IEDA Relief, UN Children's Fund (UNICEF).

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Burkina Faso - Standardized Expanded Nutrition Survey - 2017

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2017-December 23, 2017 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - SENS Survey

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou and Mentao refugee camps in December 2017. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP) and UN Children's Fund (UNICEF).

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Burkina Faso - Livelihoods Programme Monitoring Beneficiary Survey, 2019

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org

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Burkina Faso - Livelihoods Programme Monitoring Beneficiary Survey, 2018

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org

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Burkina Faso - Energy Monitoring Framework Survey, 2017

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey

The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/

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Compilation of International Financial Institution and Economic Data

HDX

200+ Downloads

Time Period of the Dataset [?]: March 12, 2021-March 12, 2021 ... More

This dataset updates: As needed

Compilation of international financial institution and economic data

CSV

Burkina Faso: Level 1 Exposure Data

Global Earthquake Model Foundation

50+ Downloads

Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Global Earthquake Model Foundation - Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards

CSV

Humanitarian Access Indicators

HDX

400+ Downloads

Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More

This dataset updates: As needed

Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.

CSV

Census-based gridded population estimates for Burkina Faso (2019), version 1.0

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

60+ Downloads

Time Period of the Dataset [?]: January 11, 2021-September 07, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: GRID3 - Gridded Population Estimated

These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom Foreign, Commonwealth & Development Office (OPP1182425). Project partners include WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. The Burkina Faso Institut National de la Statistique et de la Démographie supported, facilitated this work, reviewed the results and provided the census database. The modelling work, geospatial data processing, and stakeholder engagement was led by Edith Darin. Support for the statistical modelling was provided by Gianluca Boo, Claire A. Dooley, Douglas R. Leasure and Chris W. Jochem. Support for the engagement work and review of the methods was offered by Mathias Kuépié. Oversight was done by Andrew J. Tatem and Attila N. Lazar. Recommended citation: WorldPop and Institut National de la Statistique et de la Démographie du Burkina Faso. 2021. Census based gridded population estimates for Burkina Faso (2019), version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00687

Africa: Coronavirus (COVID-19) Subnational Cases

HERA - Humanitarian Emergency Response Africa

700+ Downloads

Time Period of the Dataset [?]: May 17, 2020-September 07, 2024 ... More

This dataset updates: As needed

Figures about the evolution of Covid19 in African countries, new infected, recovered and deceased per day and cumulative cases of infected, recovered and deceased.

Web App

West and Central Africa Coronavirus covid-19 situation

OCHA West and Central Africa (ROWCA)

700+ Downloads

Time Period of the Dataset [?]: April 13, 2020-May 28, 2020 ... More

This dataset updates: Every week

West and Central Africa Coronavirus covid-19 situation

XLSX

Burkina Faso - Population Counts

WorldPop

100+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: World Pop - Population Counts

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. 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): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). 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. Data for earlier dates is available directly from WorldPop. 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

GeoTIFF

Humanitarian Access Constraints due to COVID-19 Pandemic

OCHA HQ

400+ Downloads

Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More

This dataset updates: As needed

The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.

XLSX

Pastoral Early Warning System - Field data for June and July 2020

Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA

200+ Downloads

Time Period of the Dataset [?]: June 01, 2020-July 31, 2020 ... More

This dataset updates: Never

These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on the sigsahel.info platform and maps available on a mapping platform : geosahel.info. These dataset are the summary of the data collected by sentinel sites during June and July 2020.

XLSX
SHP

Novel Coronavirus (COVID-19) Cases Data

Johns Hopkins University Center for Systems Science and Engineering

436000+ Downloads

Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More

This dataset updates: As needed

JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. 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

CSV

Pastoral Early Warning System - Field data for April and May 2020

Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA

100+ Downloads

Time Period of the Dataset [?]: April 01, 2020-May 31, 2020 ... More

This dataset updates: Every three months

These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on the sigsahel.info platform and maps available on a mapping platform : geosahel.info. These dataset are the summary of the data collected by sentinel sites during April and May 2020.

SHP
XLSX

Burkina Faso - Population Density

WorldPop

50+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Population Density

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. 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/WP00674