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  • 400+ Downloads
    Updated 7 November 2017 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: Every year
    Number of Refugees returning to Afghanistan for the period of 1 January 2016 to 31 December 2016 by district of destination and origin.
  • 200+ Downloads
    Updated 18 October 2017 | Dataset date: October 14, 2017-October 14, 2017
    This dataset updates: Every month
    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.
  • 30+ Downloads
    Updated 12 October 2017 | Dataset date: October 29, 2017-October 29, 2017
    This dataset updates: Never
    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.
  • 1200+ Downloads
    Updated 9 October 2017 | Dataset date: January 01, 1950-September 30, 2017
    This dataset updates: Every month
    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.
  • 1000+ Downloads
    Updated 4 October 2017 | Dataset date: September 01, 2015-September 01, 2016
    This dataset updates: Every year
    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.
  • 1100+ Downloads
    Updated 22 September 2017 | Dataset date: August 31, 2017-August 31, 2017
    This dataset updates: As needed
    UNICEF Excel Database relating to Regional refugees (Targets, Results and Funding)
  • 500+ Downloads
    Updated 21 September 2017 | Dataset date: September 21, 2017-September 21, 2017
    This dataset updates: Every year
    Hurricane Maria peak 3-sec gust footprints in kml format (through 9UT 21st Sept 2017) Credit - Tropical Storm Risk/UCL
  • 300+ Downloads
    Updated 14 September 2017 | Dataset date: September 11, 2017-September 11, 2017
    This dataset updates: Every day
    Includes information from several data sources about Damages and needs assessment
  • 100+ Downloads
    Updated 10 September 2017 | Dataset date: September 08, 2017-September 08, 2017
    This dataset updates: Every day
    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.
  • 100+ Downloads
    Updated 9 September 2017 | Dataset date: September 07, 2017-September 07, 2017
    This dataset updates: Every week
    Population exposure estimates based on tropical cyclone IRMA-17 path observed and predicted at 7 September 2017.
  • 100+ Downloads
    Updated 8 September 2017 | Dataset date: September 07, 2017-September 07, 2017
    This dataset updates: Never
    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.
  • 300+ Downloads
    Updated 29 August 2017 | Dataset date: January 29, 2016-August 04, 2016
    This dataset updates: Never
    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).
  • 1800+ Downloads
    Updated 25 August 2017 | Dataset date: July 31, 2017-July 31, 2017
    This dataset updates: As needed
    This infographics is about South Sudan Situation and needs. It also shown UNICEF targets/results and HAC Funding as of 31 July 2017
  • 40+ Downloads
    Updated 18 August 2017 | Dataset date: March 29, 2017-March 29, 2017
    This dataset updates: Every month
    Topline figures dataset for the Somalia Cash programme
  • 100+ Downloads
    Updated 18 August 2017 | Dataset date: July 01, 2017-July 01, 2017
    This dataset updates: Never
    This dataset shows the polling centres in Kibera, kenya
  • 1700+ Downloads
    Updated 17 August 2017 | Dataset date: August 15, 2017-August 15, 2017
    This dataset updates: Never
    In this analysis we have combined several data sources around the floods in Bangladesh in August 2017. Visualization See attached map for a map visualization of this analysis. See http://bit.ly/2uFezkY for a more interactive visualization in Carto. Situation Currently, in Bangladesh many water level measuring stations measure water levels that are above danger levels. This sets in triggers in motion for the partnership of the 510 Data Intitiative and the Red Cross Climate Centre to get into action. Indicators and sources In the attached map, we combined several sources: Locations of waterlevel stations and their respective excess water levels (cms above danger level) at 14/08/2017 (Source: http://www.ffwc.gov.bd/index.php/googlemap?id=20) Population density in Bangladesh to quickly see where many people live in comaprison to these higher water-level stations. (Source: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00018 >> the People per hectare 2015 UN-adjusted totals file is used.) Vulnerability Index: we constructed a Vulnerability Index (0-10) based on two sources. First poverty incidence was collected from Worldpop (Source: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00020 >> The estimated likelihood of living below $2.50/day). Second, we used a Deprivation Index which is estimated in the report Lagging District Reports 2015 (Source: http://www.plancomm.gov.bd/wp-content/uploads/2015/02/15_Lagging-Regions-Study.pdf > Appendices > Table 20), which combines many socio-economic variables into one Deprivation Index through PCA analysis. Detailed methodology Vulnerability The above-mentioned poverty source file is on a raster level. This raster level poverty was transformed to admin-4 level geographic areas (source: https://data.humdata.org/dataset/bangladesh-admin-level-4-boundaries), by taking a population-weighted average. (Source population also Worldpop). The district-level PCA components from abovementioned reports were matched to the geodata based on district names, and thus joined to the admin-4 level areas, which now contain a poverty value as well as Deprivation Index value. Note that all admin-4 areas within one district (admin-2) obviously all have the same value. The poverty rates do differ between all admin-4 areas. Lastly, both variables were transformed to a 0-10 score (linearly), and a geomean was taken to calculate the final index of the two. A geomean (as opposed to an arithmetic mean) is often used in calculating composite risk indices, for example in the widely used INFORM-framework (www.inform-index.org).
  • 90+ Downloads
    Updated 10 August 2017 | Dataset date: October 19, 2016-October 19, 2016
    This dataset updates: Every week
    Topline figures dataset for OCHA Haiti organisation page
  • 200+ Downloads
    Updated 4 August 2017 | Dataset date: July 25, 2017-July 25, 2017
    This dataset updates: Never
    UWIANO platform for peace( early warning and conflict prevention pillar) county risk list
  • 1100+ Downloads
    Updated 19 July 2017 | Dataset date: April 05, 2017-April 05, 2017
    This dataset updates: Never
    Madagascar, Cyclone Enawo Final Needs Assessment data with disaggregated data related to key vulnerable populations and SADD available. Data collected and put together by the Malagasy Red Cross Society (MRCS)
  • 40+ Downloads
    Updated 13 July 2017 | Dataset date: March 02, 2016-March 02, 2016
    This dataset updates: Every day
    Topline figures dataset for the Fiji Tropical Cyclone Winston disaster
  • 1700+ Downloads
    Updated 11 July 2017 | Dataset date: July 01, 2017-July 01, 2017
    This dataset updates: Never
    UNICEF Response Drought Horn of Africa Dashboard, June 2017
  • 1600+ Downloads
    Updated 7 July 2017 | Dataset date: October 27, 2016-October 27, 2016
    This dataset updates: Every month
    This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
  • 300+ Downloads
    Updated 5 July 2017 | Dataset date: January 01, 2016-April 15, 2017
    This dataset updates: Every six months
    Myanmar 2016 Cash Transfer Programming activities 4W Map townships Mobile money innovation spotlight 2017 projections
  • 200+ Downloads
    Updated 4 July 2017 | Dataset date: July 04, 2017-July 04, 2017
    This dataset updates: Never
    The Formal Sites Monitoring Tool (FSMT) is a camp management monitoring tool, designed to provide a synopsis of the main demographic information at site level as well key humanitarian indicators for all formal sites across Iraq.
  • 40+ Downloads
    Updated 27 June 2017 | Dataset date: January 19, 2017-January 19, 2017
    This dataset updates: Never
    This data indicates the total number of beneficiaries Of The Cash Transfer Program By National Council For Persons With Disabilities per constituency.