Updated
9 March 2021
| Dataset date: January 01, 1969-December 31, 2018
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center.
Updated
Live
| Dataset date: January 01, 2019-March 09, 2021
This dataset updates: Live
Live list of active aid activities for United Kingdom of Great Britain and Northern Ireland 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
9 March 2021
| Dataset date: March 10, 2020-March 07, 2021
This dataset updates: Every day
This data has been collected from various sources and is displayed in this online dashboard: http://arcg.is/uHyuO Mobile version: http://arcg.is/0q8Xfj
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
9 March 2021
| Dataset date: May 29, 2019-May 29, 2019
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 March 2021
| Dataset date: March 08, 2021-March 08, 2021
This dataset updates: Every week
This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.
Updated
8 March 2021
| Dataset date: February 27, 2020-March 07, 2021
This dataset updates: Every week
Subnational data about Covid19 in Nigeria per day - Infections (new cases), Deaths, Recoveries + Gender data per region (April - October).
Our report on Nigeria and Covid-19 (subnational analysis) will be available soon on our website.
If you have any inquiries or want to give us your feedback on how you use the datasets, please contact us at org.hera@gmail.com
Updated
8 March 2021
| Dataset date: September 02, 2020-September 02, 2020
This dataset updates: Every month
The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors:
Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
Updated
8 March 2021
| Dataset date: March 01, 2020-August 31, 2020
This dataset updates: Every day
These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day.
Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
Updated
8 March 2021
| Dataset date: January 31, 2021-January 31, 2021
This dataset updates: Every six months
Ce jeu de données, validé par la commission mouvement de population, donne l'historique des PDIs (Personnes Déplacées Internes) et Réfugiés par sous-préfecture.
Updated
8 March 2021
| Dataset date: December 31, 2020-December 31, 2020
This dataset updates: Every six months
Ce jeu de données porte sur la présence opérationnelle des partenaires humanitaires par secteur au niveau administratif 3 dans la République Centrafricaine.
Updated
25 April 2020
| Dataset date: January 01, 2019-December 31, 2019
This dataset updates: As needed
This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera). The dataset includes a mix of quantitative and qualitative data. Qualitative data is collected by ACAPS through daily media monitoring, secondary data review, thematic products and discussions with experts in Yemen and the region. ACAPS tracks changes in these indicators and alerts the humanitarian community to emerging trends or risks that could overwhelm local coping mechanisms in Yemen, triggering a humanitarian emergency. This dataset forms the core of ACAPS Yemen Crisis Insight bi-monthly products such as the Yemen: Crisis Impact Overview and Yemen Risk Overview, and ad hoc risk alerts.
Updated
Live
| Dataset date: January 01, 2017-March 09, 2021
This dataset updates: Live
Projects proposed, in progress, or completed as part of the annual Colombia 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
5 March 2021
| Dataset date: March 06, 2020-March 04, 2021
This dataset updates: Every week
Covid-19 data at the city level in Togo - Infections (new cases, gender), Deaths, Recoveries
We have been collecting Covid-19 in Africa for a year, if you have any feedback on how you use our data, don't hesitate to contact us at org.hera@gmail.com and share your work !
Updated
8 March 2021
| Dataset date: December 15, 2020-March 07, 2021
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-March 07, 2021
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
