Updated
4 April 2022
| Dataset date: December 19, 2020-August 18, 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-August 18, 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 Peopleโs 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
18 August 2022
| Dataset date: March 16, 2020-August 18, 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
Live
| Dataset date: January 18, 2020-August 18, 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
19 August 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
19 August 2022
| Dataset date: August 19, 2022-August 19, 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
19 August 2022
| Dataset date: January 01, 2018-January 01, 2019
This dataset updates: Never
This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily.
The original dataset can be downloaded from the OSM West Africa Ebola response wiki.
Updated
12 January 2020
| Dataset date: January 12, 2020-January 12, 2020
This dataset updates: Every week
These datasets contain OpenStreetMap data related to the Refugee Response in northern Uganda. Data model coordinated with UNHCR. The source is surveys and mapping in northern Uganda performed by HOTOSM and partners.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
railway IN ('rail','subway','station')
Features may have these attributes:
operator:type
name
railway
addr:city
addr:full
layer
source
ele
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
24 April 2018
| Dataset date: January 01, 2012-March 31, 2018
This dataset updates: Every month
Dataset con resumen mensual eventos y afectados por violencia armada en Colombia 2012-2018
Las categorรญas contenidas en los datasets son:
- Desplazamiento masivo* (eventos y afectados)
- Restricciones al acceso por violencia armada (eventos y afectados)
- Acciones armadas (eventos)
- Ataques contra poblaciรณn civil (eventos)
*Un desplazamiento se considera masivo si afecta a mรกs de 50 personas o 10 familias
Informaciรณn en lรญnea sobre eventos de violencia armada en monitor.umaic.org
Mรกs sobre nuestras categorรญas de Violencia armada en: https://wiki.umaic.org/wiki/Sistema_de_categor%C3%ADa_del_m%C3%B3dulo_de_eventos_de_violencia_armada
Dataset with monthly totals on events and people affected by armed violence in Colombia 2012-2018
The categories contained in the datasets are:
- Mass* displacement (events and people affected - IDPs)
- Access restrictions caused by armed violence (events and people affected)
- Armed actions (events)
- Attacks against civilians (events)
Online information about events and people affected by armed violence (in Spanish) in monitor.umaic.org
More about our categories on armed violence (in Spanish) in: https://wiki.umaic.org/wiki/Sistema_de_categor%C3%ADa_del_m%C3%B3dulo_de_eventos_de_violencia_armada
Updated
28 June 2022
| Dataset date: June 07, 2022-June 07, 2022
This dataset updates: Never
UNOSAT code: FR20220605AFG This map illustrates satellite-detected areas of wildfires in Nurgaram District, Nuristan Province, Afghanistan as observed from Sentinel-2 imagery acquired on 2 Jun. 2022 about 10:39 am. The wildfire scars cover an approximate area of 68 ha and appear to have increased of about 33 ha since 28 May 22. The fire has been spread from the top to down direction of the mountain.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Updated
23 February 2021
| Dataset date: December 01, 2020-February 02, 2022
This dataset updates: Every month
Who is doing What in Azerbaijan: Response activities of Azerbaijan civil society organizations in support of internally displaced persons and other populations affected by the armed conflict of 2020.
Updated
12 July 2022
| Dataset date: June 14, 2022-August 19, 2022
This dataset updates: Every week
The dataset captures weekly progress updates from UN agencies involved in implementing the Central Emergency Response Fund's (CERF) US$ 15 million Early Action allocation to mitigate the impacts of expected severe floods in Unity State during the 2022 rainy season
Updated
Live
| Dataset date: January 01, 2019-August 19, 2022
This dataset updates: Live
Live list of active aid activities for Nepal shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
Updated
Live
| Dataset date: January 09, 2005-May 17, 2020
This dataset updates: Live
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.
Updated
9 November 2018
| Dataset date: November 09, 2018-November 09, 2018
This dataset updates: Every year
Series EN_H2O_WBAMBQ: Proportion of bodies of water with good ambient water quality (%) Indicator 6.3.2: Proportion of bodies of water with good ambient water quality Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater and substantially increasing recycling and safe reuse globally Goal 6: Ensure availability and sustainable management of water and sanitation for all Release Version: 2018.Q2.G.01
Updated
2 October 2020
| Dataset date: January 24, 2019-January 24, 2019
This dataset updates: Every year
This dataset shows the data corresponding to the cultural and social aspect of the Democratic Republic of the Congo with ethnics, tribes, the spoken languages, the culinary culture, .....
Updated
16 March 2022
| Dataset date: March 02, 2022-August 19, 2022
This dataset updates: Every day
Information is compiled from a variety of sources. While every effort has been made to ensure that all statistical information is verified, figures on some arrivals represent an estimate. Triangulation of information and sources is performed on a continuous basis. Therefore, amendments in figures may occur, including retroactively.
