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
The AWSD is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. This dataset includes all incidents up to 2022, which have gone through a comprehensive verification process.
This dataset contains the affected populations, people in need and targeted populations by sector, region and disaggregated by sex and age.
The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
The Aid Worker Security Database (AWSD) is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. The information in this dataset includes verified data on all incidents up to December 2021.
The attached dataset is from the 2022 Ukraine HRP and offers the number of targeted people by geozone and by population group. The data is also presented with SADD.
The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries.
The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff.
The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include:
• Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines
• Policy-related: government coordination and legal authorization, public communications and education, movement restrictions
• Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces
• Economic measures: economic and social measures, logistics / supply chains and security.
We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database.
Comments on the data can be submitted to covid.database.comments@dalberg.com
Questions can be submitted to covid.database.questions@dalberg.comwww.dalberg.com
This dataset contains a link to a Google Spreadsheet containing lists of the health facilities (including the facility name, status, facility type, location etc) in Guinea, Liberia, Mali and Sierra Leone. The data was compiled by the Standby Task Force from various sources.
Ukraine estimated baseline population data (residents and IDPs) in Donetska and Luhanska oblasts used in 2022 HNO with SAAD disaggregation at adm1, GCA/NGCA and zone (distance from contact line) level. Estimation is based on 2001 census.
Dataset includes monthly numbers of civilian casualties by cause, type and location (adm1, GCA/NGCA) in 2021, and yearly numbers of civilian casualties by cause, type and location (GCA/NGCA) in 2016-2020. The dataset is compiled based on the monthly and yearly updates on civilian casualties in Ukraine provided by the Office of the High Commissioner for Human Rights (OHCHR).
The dataset contains entry/exit crossing points along the "contact line" dividing Government-controlled area (GCA) and non-Government-controlled area (NGCA) with coordinates and operational status (operational, non-operational, partially operational, planned). Source: State Border Guard Service of Ukraine, https://dpsu.gov.ua/ua/perelik-kpvv/.
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations.
This data is about the humanitarian activities by civil society organizations, clusters/sectors, government, private organizations, UN agencies and Red Cross related to COVID-19.
These figures were endorsed as the baseline figure of IDPs residing in government-controlled areas (GCAs) in 2020 by OCHA and other humanitarian partners in the Humanitarian Needs Overview for Ukraine for 2021.
The Civilian Impact Monitoring Project (CIMP) is a monitoring mechanism for real-time collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, with the purpose of informing and complementing protection programming. CIMP is a service under the United Nations Protection Cluster for Yemen and, since going live on 01 August 2018, has reported in real-time on the impact of incidents of armed violence on civilians at the national level, divided into 5 hubs: Al-Hudaydah, Sa’ada, Sana’a, Aden and Ibb. The dataset shows the number of incidents to have impacted upon civilian houses, farms, vehicles, businesses and markets and the number of incidents to have impacted upon civilian infrastructure sites since December 2017.
The Civilian Impact Monitoring Project (CIMP) is a monitoring mechanism for real-time collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, with the purpose of informing and complementing protection programming.
CIMP is a service under the United Nations Protection Cluster for Yemen and, since going live on 01 August 2018, has reported in real-time on the impact of incidents of armed violence on civilians at the national level, divided into 5 hubs: Al-Hudaydah, Sa’ada, Sana’a, Aden and Ibb.
The dataset contains the total number of incidents of armed violence reported to have impacted upon civilians each month since December 2017, and the total number of civilian casualties reported each month and per hub.
This data is about the humanitarian interventions of local/international organizations, faith based organizations, government, private sectors, UN agencies, and Red Cross in the areas affected by the typhoons.
A series of earthquakes occured in provinces of Cotabato (North Cotabato) and Davao del Sur, between 16 and 31 October and December 2019, respectively. These earthquakes caused significant displacement, loss of lives and extensive damage to properties and infrastructure. This data is reflects the humanitarian activities done by the government, civil society organizations, Red Cross, and UN agencies to the affected population.
This data is about the completed, ongoing and planned humanitarian activities related to the Taal volcano eruption by the government, civil society organizations, clusters, Red Cross, UN agencies and private individuals to people displaced in the evacuation centres.