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  • 400+ Downloads
    Time Period of the Dataset [?]: December 24, 2017-January 30, 2018 ... More
    Modified [?]: 22 April 2018
    Confirmed [?]: 7 March 2024
    Dataset Added on HDX [?]: 12 April 2018
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Site and Location Assessment
    Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. This assessment presents data from NPM Round 8 baseline survey and site assessment: the baseline was conducted between 24 December 2017 and 4 January 2018; the site assessment between 15 and 30 January 2018. The complete data collection was conducted between 24 December and 30 January 2018. For further information, the full report and related information package are available on humanitarianresponse.info
  • 100+ Downloads
    Time Period of the Dataset [?]: February 28, 2018-February 28, 2018 ... More
    Modified [?]: 18 April 2018
    Dataset Added on HDX [?]: 18 April 2018
    This dataset updates: Never
    UNICEF Excel Database Refugees in Eastern and Southern Africa - Target, Response and Funding
  • 100+ Downloads
    Time Period of the Dataset [?]: April 03, 2018-April 03, 2018 ... More
    Modified [?]: 12 April 2018
    Dataset Added on HDX [?]: 12 April 2018
    This dataset updates: Never
    Papua New Guinea Earthquake Health Facility Status as of 3 April 2018
  • 1400+ Downloads
    Time Period of the Dataset [?]: April 10, 2018-April 10, 2018 ... More
    Modified [?]: 10 April 2018
    Dataset Added on HDX [?]: 10 April 2018
    This dataset updates: Never
    Papua New Guinea - Pcodes and Coordinates Admin 1 to 5
  • 80+ Downloads
    Time Period of the Dataset [?]: April 04, 2018-April 04, 2018 ... More
    Modified [?]: 6 April 2018
    Dataset Added on HDX [?]: 6 April 2018
    This dataset updates: Never
    Ce jeu de données renseigne sur les activités mises en oeuvre par la FAO dans le cadre de sa stratégie de réponse à la crise du bassin lac TCHAD sur la période 2017-2019. Il renseigne sur les activités réalisées , le montant des financements et le nombre personnes vulnérables assistées.
  • 200+ Downloads
    Time Period of the Dataset [?]: March 30, 2018-March 30, 2018 ... More
    Modified [?]: 30 March 2018
    Dataset Added on HDX [?]: 30 March 2018
    This dataset updates: Never
    Affected Villages based on 2011 Population. Intensity - USGS Villages - NSO Affected Village - NDC
  • COD 700+ Downloads
    Time Period of the Dataset [?]: March 09, 2018-March 09, 2018 ... More
    Modified [?]: 9 March 2018
    Dataset Added on HDX [?]: 9 March 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    Syrian Arab Republic populated places
  • 100+ Downloads
    Time Period of the Dataset [?]: December 31, 2017-December 31, 2017 ... More
    Modified [?]: 28 February 2018
    Dataset Added on HDX [?]: 23 February 2018
    This dataset updates: Every month
    Statistics on CAR refugees in Cameroon (biometric registration) by location, sex and age as of 311/12/2017.
  • 90+ Downloads
    Time Period of the Dataset [?]: March 01, 2017-July 31, 2017 ... More
    Modified [?]: 23 February 2018
    Dataset Added on HDX [?]: 23 February 2018
    This dataset updates: Every year
    This is the minimal underlying dataset for a forthcoming manuscript presenting results from a cross-sectional survey aimed at measuring deaths, injuries, and kidnapping in Mosul households during the 29 months of ISIS control and the 8 months of Iraqi military action during the liberation.
  • COD 100+ Downloads
    Time Period of the Dataset [?]: January 26, 2018-January 26, 2018 ... More
    Modified [?]: 2 February 2018
    Dataset Added on HDX [?]: 26 January 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    Mexican populated places This shapefile is suitable for linking to the population statistics tables available on HDX here
  • 600+ Downloads
    Time Period of the Dataset [?]: December 29, 2017-December 29, 2017 ... More
    Modified [?]: 31 January 2018
    Dataset Added on HDX [?]: 30 January 2018
    This dataset updates: As needed
    The Office of the Geographer’s Global Large Scale International Boundary Detailed Polygons file combines two datasets, the Office of the Geographer’s Large Scale International Boundary Lines and NGA shoreline data. The LSIB is believed to be the most accurate worldwide (non- W. Europe) international boundary vector line file available. The lines reflect U.S. government (USG) policy and thus not necessarily de facto control. The 1:250,000 scale World Vector Shoreline (WVS) coastline data was used in places and is generally shifted by several hundred meters to over a km. There are no restrictions on use of this public domain data. The Tesla Government PiX team performed topology checks and other GIS processing while merging data sets, created more accurate island shoreline in numerous cases, and worked closely with the US Dept. of State Office of the Geographer on quality control checks. Methodology: Tesla Government’s Protected Internet Exchange (PiX) GIS team converted the LSIB linework and the island data provided by the State Department to polygons. The LSIB Admin 0 world polygons (Admin 0 polygons) were created by conflating the following datasets: Eurasia_Oceania_LSIB7a_gen_polygons, Africa_Americas_LSIB7a_gen_polygons, Africa_Americas_LSIB7a, Eurasia_LSIB7a, additional updates from LSIB8, WVS shoreline data, and other shoreline data from United States Government (USG) sources. The two simplified polygon shapefiles were merged, dissolved, and converted to lines to create a single global coastline dataset. The two detailed line shapefiles (Eurasia_LSIB7a and Africa_Americas_LSIB7a) were merged with each other and the coastlines to create an international boundary shapefile with coastlines. The dataset was reviewed for the following topological errors: must not self overlap, must not overlap, and must not have dangles. Once all topological errors were fixed, the lines were converted to polygons. Attribution was assigned by exploding the simplified polygons into multipart features, converting to centroids, and spatially joining with the newly created dataset. The polygons were then dissolved by country name. Another round of QC was performed on the dataset through the data reviewer tool to ensure that the conversion worked correctly. Additional errors identified during this process consisted of islands shifted from their true locations and not representing their true shape; these were adjusted using high resolution imagery whereupon a second round of QC was applied with SRTM digital elevation model data downloaded from USGS. The same procedure was performed for every individual island contained in the islands from other USG sources. After the island dataset went through another round of QC, it was then merged with the Admin 0 polygon shapefile to form a comprehensive world dataset. The entire dataset was then evaluated, including for proper attribution for all of the islands, by the Office of the Geographer.
  • 100+ Downloads
    Time Period of the Dataset [?]: December 30, 2016-December 30, 2016 ... More
    Modified [?]: 31 January 2018
    Dataset Added on HDX [?]: 30 January 2018
    This dataset updates: Never
    Ce jeu de données concerne le nombre d'établissements élémentaire, maternel, moyen et secondaire du Sénégal désagrégé jusqu'au niveau commune rural et commune d'arrondissement.
  • 90+ Downloads
    Time Period of the Dataset [?]: April 01, 2016-June 01, 2016 ... More
    Modified [?]: 26 January 2018
    Dataset Added on HDX [?]: 26 January 2018
    This dataset updates: Every year
    This is the underlying data for a manuscript published in PLOS: Currents Disasters. The manuscript reports results from a survey of accessible areas, which were largely urban and government controlled, undertaken from April - June 2016 to identify unmet needs and assistance priorities in Syria.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2013-January 14, 2028 ... More
    Modified [?]: 24 January 2018
    Dataset Added on HDX [?]: 24 January 2018
    This dataset updates: Never
    Projection des indices démographiques du Sénégal (FECONDITE, MORTALITE, Naissances et décès annuels)
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2013-January 01, 2025 ... More
    Modified [?]: 24 January 2018
    Dataset Added on HDX [?]: 24 January 2018
    This dataset updates: Never
    Ce jeu de données concerne les projections démographiques basées sur le dernier recensement de la population et de l'habitat, de l'agriculture et de l'élevage (RGPHAE) de 2013
  • 300+ Downloads
    Time Period of the Dataset [?]: January 24, 2018-January 24, 2018 ... More
    Modified [?]: 24 January 2018
    Dataset Added on HDX [?]: 23 October 2017
    This dataset updates: Every year
    Zipped shapefile containing 1m contour lines for Kutupalong mega camp area including Thangkhali, Hakimpara, Jamtoli and Bagghona/Potibonia. These are created by NPM team of IOM using a UAV of December 2017.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 31, 2017-August 31, 2017 ... More
    Modified [?]: 16 January 2018
    Dataset Added on HDX [?]: 8 November 2017
    This dataset updates: Every month
    Cash activities in Far North - Nigeria
  • 100+ Downloads
    Time Period of the Dataset [?]: January 15, 2018-January 15, 2018 ... More
    Modified [?]: 16 January 2018
    Dataset Added on HDX [?]: 16 January 2018
    This dataset updates: Never
    Population Movement Initiative for South Syria - December 2017 Dataset
  • COD 50+ Downloads
    Time Period of the Dataset [?]: December 28, 2017-December 28, 2017 ... More
    Modified [?]: 28 December 2017
    Dataset Added on HDX [?]: 28 December 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Hydrology
    Hydrography network. The dataset represents the hydrography network of Cabo Verde.
  • COD 50+ Downloads
    Time Period of the Dataset [?]: December 28, 2017-December 28, 2017 ... More
    Modified [?]: 28 December 2017
    Dataset Added on HDX [?]: 28 December 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
    Major routes, other, tracks
  • COD 100+ Downloads
    Time Period of the Dataset [?]: December 28, 2017-December 28, 2017 ... More
    Modified [?]: 28 December 2017
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    Settlements with administrative Class (eg: 1=Country capital, 2=Concelhos capital…) The dataset represents the settlements of Cabo Verde with harmonized pcodes
  • 200+ Downloads
    Time Period of the Dataset [?]: December 28, 2017-December 28, 2017 ... More
    Modified [?]: 28 December 2017
    Dataset Added on HDX [?]: 28 December 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
  • COD 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2010-January 01, 2010 ... More
    Modified [?]: 22 December 2017
    Dataset Added on HDX [?]: 22 December 2017
    This dataset updates: As needed
    This dataset is part of the data series [?]: COD - Infrastructure
    This dataset contains airports of Maldives. Data was collected by UNICEF from the Government of the Maldives for use in DevInfo. This data was given to OCHA in 2010.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-August 31, 2016 ... More
    Modified [?]: 20 December 2017
    Dataset Added on HDX [?]: 20 December 2017
    This dataset updates: Every six months
    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.
  • 2200+ Downloads
    Time Period of the Dataset [?]: February 01, 2016-October 31, 2016 ... More
    Modified [?]: 18 December 2017
    Dataset Added on HDX [?]: 22 December 2016
    This dataset updates: Never
    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