Updated
24 May 2022
| Dataset date: May 31, 2020-May 31, 2020
This dataset updates: Every day
Aggregated figures for Natural Disasters in EM-DAT
More on the EM-DAT database : ( website / data portal ).
Each line corresponds to a given combination of year, country, disaster subtype and reports figures for :
number of disasters
total number of people affected
total number of deaths
economic losses (original value and adjusted)
Updated
13 May 2022
| Dataset date: January 01, 2019-April 30, 2022
This dataset updates: Every month
The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally.
It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high.
ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results.
Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity
This data is also available on ACAPS API: http://api.acaps.org/api/v1
Updated
9 April 2022
| Dataset date: August 02, 2021-May 25, 2022
This dataset updates: As needed
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
Updated
4 April 2022
| Dataset date: December 19, 2020-May 23, 2022
This dataset updates: Every day
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
Updated
29 March 2022
| Dataset date: July 01, 1948-March 29, 2022
This dataset updates: Every month
This set includes data on fatalities in UN peacekeeping operations. It includes a unique casualty identifier, the incident date, the mission acronym, the type of casualty, the ISO code associated with the country of origin of the personnel, the relevant M49 DESA code, the type pf personnel involved, and the type of incident.
Updated
27 March 2022
| Dataset date: March 09, 2020-March 18, 2022
This dataset updates: Every week
Subnational data about Covid19 in Burkina Faso - Infected (new cases, gender), Deceased, Recovered.
NEW (!) : VACCINATION DATA PER REGION (1st & 2nd dose)
Type of vaccine : AstraZeneca ; Johnson&Johnson
Updated
27 March 2022
| Dataset date: March 13, 2020-March 25, 2022
This dataset updates: Every week
Subnational data about Covid19 in Mauritania - Infections (new cases, gender), Deaths, Recoveries. Please note that the gender data is not available yet for every day, our teams are working on it. Thank you for your understanding.
Updated
15 February 2022
| Dataset date: January 01, 2017-December 31, 2021
This dataset updates: As needed
This page provides the data published in the Education in Danger Monthly News Brief.
All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
Updated
7 February 2022
| Dataset date: May 06, 2020-October 08, 2021
This dataset updates: Every day
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.
