Updated
31 December 2017
| Dataset date: December 31, 2017-December 31, 2017
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
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
Updated
27 December 2017
| Dataset date: December 27, 2017-December 27, 2017
Liberia Settlements
UNDP provided two main sets of data to OCHA in January 2007: government-derived shape files and a personal geodatabase of base map data from UNMIL. These data are part of the government-derived shape files provided by UNDP in January 2007. Updated by OCHA ROWCA in december 2017
Updated
20 December 2017
| Dataset date: January 01, 2015-August 31, 2016
This is the underlying data for a manuscript published in PLOS: Currents Disasters (see PDF provided). the manuscript reports results from longitudinal cohort study implemented from January 2015 through August 2016 that sought to evaluate the effectiveness of treatment guidelines and an mHealth application on quality of care and health outcomes for patients with hypertension and type 2 diabetes in primary health care facilities in Lebanon serving Syrian refugees and host communities.
Updated
18 December 2017
| Dataset date: February 01, 2016-October 31, 2016
From February to October 2016, the American Red Cross and its local Red Cross partners completed an effort to extensively map areas within a 15-kilometer distance of the shared borders between Guinea, Liberia, and Sierra Leone.
The goal of this work was to create an open and comprehensive dataset of communities for West Africa and to ensure that decision makers, humanitarian workers, and community stakeholders are better aware of water, sanitation, health, and community resources before and during the next crisis.
To complete this mapping, the American Red Cross launched a mapping center in Guéckédou, Guinea, and used it as both a base of operations and a community engagement facility. Over 100 volunteers helped to complete a rapid assessment of the region, visiting over 7,000 communities by motorbike to complete a vulnerability survey with the village leader. Next, over 100 communities were selected for a round of detailed mapping, focusing on collecting the location and information about every water point, health facility and other community resource in the area. In addition, we led technical skills trainings and mapping events both in Guéckédou and across the region.
ALL DATA EXCEPT FOR THE OpenStreetMap EXTRACTS ARE LICENSED AS CC-BY 4.0
Updated
7 December 2017
| Dataset date: October 08, 2017-October 08, 2017
The Task Force for Population Movement (TFPM) is a Technical Working Group to the Inter-Cluster
Coordination Mechanism. (ICCM) The TFPM implements an information management tool that gathers data
and location of displaced persons across Yemen.
As of 01 Sep 2017, the TFPM has identified, 2,014,026 internally displaced persons (IDPs) (335,671
households) who have been displaced due to conflict since March 2015, dispersed across 21 governorates.
For the same period, the TFPM has identified 956,076 returnees (159,346 households), across 20 governorates.
As a result, 10.3% of the total population of Yemen has experienced the shock of displacement due to conflict
in the last 30 months.
The data collected is a compilation of data collection activities conducted through the period of May to
August 2018. The data presents the best estimates of displacement and returnee movements in locations
across Yemen.
Updated
4 December 2017
| Dataset date: December 04, 2017-December 04, 2017
This shapefile and kml file contains the streams of Kutupalong Balukhali Rohingya refugee sites. These stream flow through the Kutupalomg mega camp and surrounding.
Updated
18 October 2017
| Dataset date: October 14, 2017-October 14, 2017
The Ministry of Education announced the first phase of school reopening on 16 October 2017. Therefore, IOM prioritized schools currently housing the displaced population in the first round of DTM assessment. 43 of the pre-identified collective centers were schools and 33 of these were housing displaced individuals on 6 October. IOM aims to provide basic information on these targeted schools to inform the government and general humanitarian community of the situation in these collective centers and support provision of assistance. This report presents the results of assessments carried out from 11-14 October in 19 schools that are scheduled to reopen in the coming days.
Updated
12 October 2017
| Dataset date: October 29, 2017-October 29, 2017
On 22 September 2017 at 20.30 hrs. Indonesia’s Centre of Volcanology and Geological Hazard Mitigation (PVMBG) increased the status of Mt. Agung in Karangasem District, Bali Province from Level 3 (High Alert) to Level 4 (Danger), the highest level for a volcano. And on 29 October 2017, at 16.00 hrs, the status of Mt. Agung has been lowered from Level IV (dangerous) to Level III (alert).
The no activity zone has also been reduced from 9 Km radius with additional sectoral expansion of 12km north-northwest and south-southwest become 6 km radius from the volcano with additional sectoral expansion of 7.5 km north-northwest and south-southwest. The displaced people who lived outside of the no activity zone start to return back home but advised to remain cautious.
Updated
9 October 2017
| Dataset date: January 01, 1950-September 30, 2017
The Oceanic Niño Index (ONI) has become the de facto standard that the National
Oceanic and Atmospheric Administration (NOAA) uses to identify El Niño (warm) and
La Niña (cool) events in the tropical Pacific. It is the three month mean SST
anomaly for the El Niño 3.4 region (i.e., 5°N-5°S, 120°-170°W). Events are defined as five
consecutive overlapping three month periods at or above the +0.5°C anomaly for warm (El
Niño), events and at or below the -0.5 anomaly for cold (La Niña) events. The threshold
is further broken down into Weak (with a 0.5 to 0.9 SST anomaly), Moderate (1.0 to 1.4)
and Strong (≥ 1.5) events. For an event to be categorized as weak, moderate or strong. it
must have equalled or exceeded the threshold for at least three consecutive overlapping
three month periods.
Updated
4 October 2017
| Dataset date: September 01, 2015-September 01, 2016
This is the list of feedback received by the Internews Humanitarian Information System In the Protection of Civilians Camps in South Sudan, and namely in: Juba POC 1 and 3; Malakal PoC; Bentiu PoC; Bot PoC. The data was collected from September 2015 to September 2016.
