Updated
25 July 2018
| Dataset date: September 30, 2017-September 30, 2017
This dataset updates: Every year
This dataset contains the location of affected schools by village, district, and governorate level. Includes number of students by gender, state of damage, school affected status, cause of damage, damage description, among other variables.
Updated
10 July 2018
| Dataset date: August 25, 2017-September 05, 2017
This dataset updates: Never
This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Harvey. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. The data was automatically classified using state of the art machine learning techniques.
Updated
7 July 2018
| Dataset date: April 04, 2017-April 04, 2017
This dataset updates: Every six months
FR: Cadre harmonisé d'identification des zones à risque et des populations vulnérables. Situation courante de mars à mai 2017 et situation projétée de juin à aout 2017.
EN: Harmonised framework of the identifying risks and the vulnerables people. The file contain the current situation from March to May and the predictive situation for the period from June to August.
Updated
1 June 2018
| Dataset date: September 17, 2017-September 30, 2017
This dataset updates: Never
This data is collected from the survey conducted in 14 earthquake affected district in Nepal in September 2017. Total of 2100 respondent were interviewed.
All VDCs in the 14 priority affected districts in which 60 percent or more of the households are eligible for the housing reconstruction grant will be considered part of the survey’s operating area, and eligible for random selection. The population of each district will be considered the total population of all eligible VDCs, as per the 2011 census. The first 2000 samples of the survey will then be distributed by district proportionally.
The remaining 100 surveys will be allocated to districts where the total proportional sample size is under 100 respondents, in order to boost the population for an adequate district level analysis of the findings. The number of VDCs selected in each district will vary, depending upon the number of samples allocated to each district. Each VDC will have a minimum of two wards sampled, and each ward a minimum of 10
surveys completed. Both VDCs and wards will be randomly selected from the list of eligible VDCs. Twenty-ve percent of the total sample will be allocated for municipalities, and municipalities will be randomly selected where there is more than one municipality in a district. In municipalities a minimum of three wards will be sampled, with a minimum of 10 surveys collected per ward
Updated
31 May 2018
| Dataset date: January 01, 2018-March 31, 2018
This dataset updates: Every three months
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. An interactive map of the 3W data can be accessed here.
Updated
22 May 2018
| Dataset date: March 31, 2018-March 31, 2018
This dataset updates: Never
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
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 categorías contenidas en los datasets son:
- Desplazamiento masivo* (eventos y afectados)
- Restricciones al acceso por violencia armada (eventos y afectados)
- Acciones armadas (eventos)
- Ataques contra población civil (eventos)
*Un desplazamiento se considera masivo si afecta a más de 50 personas o 10 familias
Información en línea sobre eventos de violencia armada en monitor.umaic.org
Más sobre nuestras categorías 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
5 February 2018
| Dataset date: October 01, 2017-December 31, 2017
This dataset updates: Every three months
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. An interactive map of the 3W data can be accessed here.
Updated
4 February 2018
| Dataset date: January 01, 2017-December 31, 2017
This dataset updates: Every year
Newly displaced population due to conflict between 01 January 2017 and 31 December 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 02 February 2018 and the numbers are expected to change as new assessment figures become available.
Updated
31 December 2017
| Dataset date: December 31, 2017-December 31, 2017
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
28 December 2017
| Dataset date: December 28, 2017-December 28, 2017
This dataset updates: Never
Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency (NWA) in 2014 as a result of military operations which left the civilian population of Miranshah and surrounding villages forcibly displaced. As of 30 September 2017, UNHCR has biometrically registered more than 51,000 refugees in Khost province. In 2016, UNHCR verified the registration of almost 36,000 refugees in Paktika province, where access remains a challenge on account of insecurity as anti-government elements (AGEs) control or contest a substantial amount of territory. UNHCR has received unconfirmed reports that Pakistani refugees may be among the civilian casualties resulting from cross-border shelling, and armed conflict between pro-government forces and AGEs in Afghanistan. Cultural barriers also impact on efforts to comprehensively register the refugee population, especially women. Based on focus group discussions and key informants, UNHCR estimates that at least 100,000 refugees from NWA remain in Afghanistan. Some 16,440 refugees receive shelter and other essential services in the Gulan camp in Khost province, while most live alongside Afghan host communities in various urban and rural locations. NWA refugees benefit from the generous hospitality of provincial Afghan government authorities and the general population, due in part to tribal affiliations, as well as a shared understanding of the trauma of forced displacement. During participatory shura meetings, most refugees have stated they are currently unwilling to repatriate to Pakistan, including refugees who have undertaken independent visits to NWA to assess for themselves the conditions of return. UNHCR does not have the necessary permission of the Government of Pakistan to monitor refugee returns in NWA or to support sustainable reintegration. UNHCR Afghanistan, in coordination with other humanitarian agencies, provides targeted assistance to persons with specific needs (PSN) among the NWA refugee population in Khost and Paktika provinces, and implements community-based protection measures to build the resilience of refugees as well as the host population, promoting peaceful co-existence through livelihoods initiatives, shelter, development of knowledge, healthcare, nutrition, WASH projects, and NFI distributions. The primary source of income among refugees is non-agricultural daily-wage labour, while some refugees subsist on remittances from relatives working abroad in other countries. More available here: https://data2.unhcr.org/en/documents/details/60896
