These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in Myanmar. They also provide information on incidents of explosive weapons use affecting aid access, education and health care services. Also included are datasets cited in the Safeguarding Health in Conflict Coalition (SHCC)'s annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
The Who does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in South Sudan at admin 2 level.
This dataset shows the current IPC AMN period (October 2022–May 2023) analysis. The acute malnutrition situation has deteriorated further in GoY-controlled areas when compared to the same period in 2022. This is due to a combination of factors; severe food insecurity, low immunization coverage, poor access to health and WASH services and increased disease incidences.
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.
Aggregated figures for Natural Disasters in EM-DAT
Documentation on the Country Profiles available here
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)
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.
This dataset contains agency- and open source events in which aid access, education and healthcare services were impacted by explosive weapons. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
This data collection is funded and supported by the European Union. The opinions expressed in it do not reflect in any way the position of the EU who are not responsible for the content expressed in this document.
Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access.
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
This dataset shows aid worker security incidents in Central African Republic.
Annually, the data for the previous year undergoes a verification process. Data for the current year is provisional. For incident descriptions, please download data directly from www.aidworkersecurity.org
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 about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index
This dataset shows aid worker security incidents in State of Palestine.
Annually, the data for the previous year undergoes a verification process. Data for the current year is provisional. For incident descriptions, please download data directly from www.aidworkersecurity.org
The Seasonal Events Calendar Dataset presents broad coverage of the reported information to flag events that may affect access to basic services. It also enables the more efficient and quicker production of custom calendars and monitoring of upcoming events. The dataset contains two separate tables. The seasonal calendar table tracks seasonal events occurring in each country in a typical year. The events timeline table tracks when seasonal events occur during a specific year, starting from 2022. The information comes from publicly available sources. . Data is collected and reviewed regularly, and the dataset is continuously updated and collected at countrywide level or administrative level 1.
For more information, please check https://www.acaps.org/en/data
Dollo Ado district hosts Somali refugees in five refugee camps of Melkadida; Bokolmanyo, Melkadida, Kobe, Hilaweyn and Buramino. The first camp, Bokolmanyo was opened in Oct 2009 and followed Melkadida in 2010. In 2011, there was a major influx as a result of insecurity in Somalia, resulting in the establishment of Kobe, Hilaweyn, and Buramino camps in June 2011, August 2011 and November 2012 respectively. Refugees continue to arrive in small numbers since 2011. On 31 March 2018 (source: UNHCR ProGres) the total population is 217,494 with 21,010 under-five children. A joint UNHCR, WFP, ARRA, IMC and Humedica Standardized Expanded Nutrition Survey (SENS) was carried out in the five Somali refugee’s camps in Melkadida/Dollo Ado refugee camps from 20th March to 24th April 2018, with the main objective to assess the general health and nutrition status of refugees, and formulate workable recommendations for appropriate nutritional and public health interventions. A total of 1801 households were sampled.
WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the WPdx Data Standard to create a robust analysis-ready dataset. There are two primary datasets available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the WPdx Decision Support tools and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.
The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
A data dictionary describing each parameter included in each file is available in the Data and Resources section.
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to info@waterpointdata.org