Search for a Dataset - Humanitarian Data Exchange

Iraq: Coronavirus (COVID-19) Subnational Cases

HDX

200+ Downloads

Time Period of the Dataset [?]: May 11, 2020-April 29, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases

COvid 19 subnational data for iraq

CSV

Tasa de Afectados por Desastres por cada 100mil habitantes entre 2019 y 2020

iMMAP Inc.

100+ Downloads

Time Period of the Dataset [?]: November 10, 2021-December 14, 2024 ... More

This dataset updates: As needed

Esta base de datos contiene la tasa de personas afectadas por desastres por cada 100.000 habitantes en cada municipio de Colombia entre 2019 y 2020. La metodología utilizada para el cálculo de este indicador fue tomada y adaptada del Plan Nacional de Gestión del Riesgo de Desastres de la UNGRD (Unidad Nacional de Gestión del Riesgo de Desastres). La tasa se deriva de dividir el promedio del número de personas afectadas por desastres en un periodo de tiempo entre el promedio de población para dicho periodo, y posteriormente, multiplicar el resultado por 100.000. Las fuentes de información para este cálculo fueron los registros de la UNGRD y las proyecciones de población del DANE.

XLSX
CSV

Iraq - Multi Cluster Needs Assessment (MCNA) IX-2021

REACH Initiative

400+ Downloads

Time Period of the Dataset [?]: June 09, 2021-August 16, 2021 ... More

This dataset updates: Never

The ninth round of Iraq's Multi-Cluster Needs Assessment (MCNA) conducted by REACH Initiative in close coordination with the Assessment Working Group (AWG), UN OCHA, Inter-Cluster Coordination Group (ICCG) and partners for data collection, seeks to understand multi-sectoral priority needs of conflict-affected populations living across the whole of Iraq. Between June 09 and August 16, 2021, a total of 11,645 in-camp IDP, out of camp IDP, and returnee households were assessed in a total of 64 districts in Iraq (including 27 formal camps).

XLSX

Indonesia: Coronavirus(COVID-19) Subnational Cases

OCHA Regional Office for Asia and the Pacific (ROAP)

16000+ Downloads

Time Period of the Dataset [?]: March 02, 2020-November 12, 2020 ... More

This dataset updates: Never

This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.

CSV
XLSX

Haiti Earthquake - Damage assessment

ACAPS

200+ Downloads

Time Period of the Dataset [?]: August 27, 2021-August 27, 2021 ... More

This dataset updates: Never

Haiti Earthquake (M7.2) Preliminary Satellite-Based Comprehensive - Damage assessment (Grande’Anse, South, and Nippes departments of Haiti, 27 August 2021)

XLSX

CAR Displacement Data - Site Assessment [IOM DTM]

International Organization for Migration (IOM)

100+ Downloads

Time Period of the Dataset [?]: May 05, 2019-June 30, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs at site level.

XLSX

Ethiopia Severity of needs analysis

OCHA Ethiopia

400+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2021 ... More

This dataset updates: Every year

This file contains the severity of needs analysis prepared for the humanitarian needs overview. The severity score indicates how compounded the humanitarian needs in a woreda are. The higher the severity score of a woreda, the more severe, time-critical and compounded the needs are.

XLSX

Democratic Republic of the Congo: Severity of Needs

OCHA Democratic Republic of the Congo (DRC)

100+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 14, 2024 ... More

This dataset updates: Every year

The dataset contains severity score of needs per "zone de santé" (admin level 3).

XLSX

Zimbabwe: Joint Severity Analysis

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

90+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Every year

Zimbabwe Joint severity analysis.

XLSX

Afghanistan - Natural Disaster Incidents in 2020

OCHA Afghanistan

600+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 27, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: OCHA Afghanistan - Natural Disaster Incidents

1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.

XLSX
CSV

Geographic Distribution of COVID-19 Cases Worldwide

HDX

3800+ Downloads

Time Period of the Dataset [?]: December 31, 2019-August 02, 2021 ... More

This dataset updates: Live

This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases

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.

CSV

Africa: Coronavirus (COVID-19) Subnational Cases

HERA - Humanitarian Emergency Response Africa

800+ Downloads

Time Period of the Dataset [?]: May 17, 2020-December 14, 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

Sudan - Flood Affected People from 2013 to 2020

OCHA Sudan

100+ Downloads

Time Period of the Dataset [?]: November 10, 2020-November 10, 2020 ... More

This dataset updates: As needed

This data is showing the number of affected people by floods per year from 2013 to 2020

XLSX

Sudan People Affected by Floods

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

100+ Downloads

Time Period of the Dataset [?]: October 06, 2020-October 06, 2020 ... More

This dataset updates: As needed

The data shows the number of people, Household, houses damaged and destroyed by floods and was shared by the government of Sudan (HAC)

CSV
XLSX

Myanmar: Coronavirus(COVID-19) Subnational Cases

HDX

300+ Downloads

Time Period of the Dataset [?]: May 11, 2020-May 11, 2020 ... More

This dataset updates: Live

This dataset contains the number of tested cases, confirmed cases, recoveries and deaths by township due to the Coronavirus pandemic in Myanmar.

CSV

Afghanistan - Natural Disaster Incidents in 2019

OCHA Afghanistan

300+ Downloads

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

This dataset updates: As needed

This dataset is part of the data series [?]: OCHA Afghanistan - Natural Disaster Incidents

1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.

XLSX
CSV

Nepal Displacement - [IDPs] - Baseline Assessment - Floods2020 - [IOM DTM]

International Organization for Migration (IOM)

100+ Downloads

Time Period of the Dataset [?]: July 15, 2020-July 24, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

Large-scale flooding and landslides have been triggered in several districts across Nepal following heavy rainfalls in July 2020. From the onset of monsoon on 12 June until 25 July, 130 people lost their lives, 115 were injured and 51 went missing due to floods and landslides according to the National Disaster Risk Reduction and Management Authority.

XLSX

Mali: Coronavirus(COVID-19) Subnational Cases

OCHA Mali

200+ Downloads

Time Period of the Dataset [?]: March 25, 2020-August 24, 2020 ... More

This dataset updates: As needed

This dataset contains the number of confirmed cases, recoveries and deaths by admin level 2 due to the Coronavirus pandemic in Mali.

CSV

Novel Coronavirus (COVID-19) Cases Data

Johns Hopkins University Center for Systems Science and Engineering

437000+ 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

Imperial College COVID-19 Projections

HDX

300+ Downloads

Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More

This dataset updates: As needed

Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.

XLSX

LSHTM COVID-19 Projections

HDX

300+ Downloads

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

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).

XLSX

The New York Times Coronavirus (Covid-19) Cases and Deaths in the United States

HDX

12000+ Downloads

Time Period of the Dataset [?]: December 19, 2020-March 23, 2023 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases

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

CSV

Evaluación de necesidades de agua, saneamiento e higiene en el marco del...

iMMAP Inc.

300+ Downloads

Time Period of the Dataset [?]: April 08, 2019-May 31, 2019 ... More

This dataset updates: Never

Caracterización que realizó iMMAP y UNICEF entre Marzo y Mayo del 2019 en los departamentos de Arauca, La Guajira, Norte de Santander y Nariño. Se comparte un subgrupo de la muestra del estudio completo (incluye información de Asentamientos, Albergues y Refugios), que comprende información primaria recolectada por IMMAP.