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.
Updated
10 September 2017
| Dataset date: September 08, 2017-September 08, 2017
This dataset illustrates satellite-detected potential damaged buildings in Anguilla Island, following the landfall of Tropical Cyclone IRMA-17 on September 6, 2017. The UNITAR-UNOSAT analysis used a Kompsat-3 satellite image acquired on 9 February 2017 and WorldView-2 image acquired on 5 July 2017 as pre-imagery and Pleiades satellite imagery acquired on the 7 & 8 September 2017 as a post-imagery. The UNITAR-UNOSAT analysis identified 2,147 potentially damaged structures within the analyzed area that was not covered by clouds. According to the pre-building footprints, inside the area free of clouds, provided by Humanitarian Open Street Map, this represents 42% of potentially affected structures in Anguilla.
Updated
8 September 2017
| Dataset date: September 07, 2017-September 07, 2017
This dataset illustrates the tropical cyclone IRMA-17 path with low, medium and strong wind impact zones observed and predicted at 7 September 2017. The tropical cyclone path and wind speed zones were derived from Joint Research Centre data (Warning 33 issued the 07 th September 2017 at 09:00 UTC). This is a preliminary analysis and has not yet been validated in the field.
Updated
29 August 2017
| Dataset date: January 29, 2016-August 04, 2016
Within 24 hours of the World Health Organization declaring the Zika virus a global health emergency, RIWI began a study in 9 countries across the Americas capturing over 30,000 respondents. Data collection targeted respondents' knowledge of Zika virus transmission mechanisms and confidence in government health agencies to treat and contain the epidemic. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
