Updated
5 July 2022
| Dataset date: March 18, 1989-September 30, 2020
This dataset updates: Every month
This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days.
Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532
Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
Updated
5 July 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
5 July 2022
| Dataset date: July 05, 2022-July 05, 2022
This dataset updates: Every day
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
Updated
5 July 2022
| Dataset date: November 30, 2020-April 11, 2022
This dataset updates: Every month
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
Updated
5 July 2022
| Dataset date: March 16, 2020-July 01, 2022
This dataset updates: Every day
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
Updated
5 July 2022
| Dataset date: January 04, 1999-July 05, 2022
This dataset updates: Every day
Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency.
There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x).
Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
Updated
4 July 2020
| Dataset date: July 05, 2022-July 05, 2022
This dataset updates: Every day
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
building:levels
addr:housenumber
source
name
addr:street
office
addr:full
building
addr:city
building:materials
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
Live
| Dataset date: January 01, 2017-July 05, 2022
This dataset updates: Live
Projects proposed, in progress, or completed as part of the annual Uganda Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools
Note that some projects are not publicly listed, due to security or personal-privacy concerns.
Updated
4 April 2022
| Dataset date: December 19, 2020-July 03, 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
Live
| Dataset date: January 22, 2020-July 03, 2022
This dataset updates: Live
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
Updated
28 June 2022
| Dataset date: January 01, 2021-July 05, 2022
This dataset updates: Every month
At the time of the Global Humanitarian Overview 2022 launch in December 2021, 274 million people need humanitarian assistance and protection. This number means that 1 in 29 people worldwide needs humanitarian assistance – a significant increase from 1 in 33 in 2020 and 1 in 45 in 2019, which were already the highest figures in decades. The UN and partner organizations aim to assist 183 million people most in need across 30 countries and 7 regions and require a total of $ 41 billion to do so.
Updated
Live
| Dataset date: December 16, 2020-June 03, 2022
This dataset updates: Live
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).
Updated
Live
| Dataset date: January 18, 2020-July 03, 2022
This dataset updates: Live
'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.
Updated
3 July 2022
| Dataset date: January 01, 1991-December 31, 2021
This dataset updates: Every year
Prices for Zimbabwe.
Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
Updated
3 July 2022
| Dataset date: January 15, 1990-June 15, 2022
This dataset updates: Every week
This dataset contains Countries, Commodities and Markets data, sourced from the World Food Programme Price Database. The volume of data means that the actual Food Prices data is in country level datasets. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 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.
