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  • 1700+ Downloads
    Updated August 13, 2019 | Dataset date: Jan 1, 2016-Jun 30, 2019
    This dataset updates: Every month
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
  • 1500+ Downloads
    Updated July 29, 2019 | Dataset date: May 24, 2017
    This dataset updates: Every year
    The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data
  • 500+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 30, 2016
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 400+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 30, 2016
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 20+ Downloads
    Updated June 28, 2019 | Dataset date: Jan 1, 2019-Jun 30, 2019
    This dataset updates: As needed
    Food security is expected to deteriorate in parts of northern and central Somalia from February to June 2019. Many northern and central agropastoral and pastoral livelihoods will deteriorate to Crisis (IPC Phase 3) until May/June, when the onset of Gu rainfall leads to improved livestock productivity, livestock births increasing saleable animals, and increased agricultural labor opportunities. In the absence of assistance, food security outcomes are expected to deteriorate to Emergency (IPC Phase 4) in Guban Pastoral livelihood zone and to Crisis (IPC Phase 3) in central Addun Pastoral, Northern Inland Pastoral, East Golis Pastoral of Sanaag, northwestern Hawd Pastoral, Southern Agropastoral of Hiiran and Bay-Bakool Low Potential Agropastoral livelihood zones. More than 1.5 million people will face Crisis or worse (IPC Phase 3 or higher) through June 2019. An additional 3.4 million people are classified as Stressed (IPC Phase 2), which brings the total number of people in Somalia facing acute food insecurity through mid-2019 to 4.9 million. For more visit: ipcinfo.org
  • 700+ Downloads
    Updated June 7, 2019 | Dataset date: Jun 7, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Oct 6, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of displaced persons shelters in the Dalxiska settlement, north of Kismayo, Lower Juba, Somalia. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 08 September 2016 revealed a total of 2,426 shelters as well as 200 infrastructure and support buildings within the compound. A new shelter zone, labeled camp 2 on the map, is possibly planned north of the main settlement. To the south, camp 1 extends into the town of Dalxiska, often blending in to the city structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: May 9, 2017
    This dataset updates: Never
    This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay region in Somalia. Using a Worlview-2 satellite image collected on 21 April 2017, UNOSAT analyzed the town of Baidoa and its outskirts areas and identified 272 locations where displaced person shelters are visible. A total of approximately 33,467 shelter structures are estimated to be within the ~149 hectares of settlement area. This represent an increase of 143% in shelter structures compared with the last UNOSAT analysis performed using imagery collected on 22 January 2017, where a total of 13,766 shelters, inside 144 locations, within 96 hectares of settlement area were detected. Note that also 1,288 additional shelters were detected in the previous analysis but were not detected in the current one as they are obscured by clouds in the image from 21 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected flood water extent over Booco and Hagan areas, Hiraan region, Somalia using a Radarsat-2 image acquired on 09 May 2018. Within the extent of the map about 4,000 ha of land appear to be inundated and according to WorldPop data, ~22,000 people, live within the extent of this map about 6,500 within 100 meters distance from the flooded areas which corresponds to about 30% of population in this zone. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over the district of Belet Weyne, Hiraan region, Somalia using a SAR image from 06 May 2018 and an optical VHR image over Beledweyne town. More than 2800 km2 of lands were assessed and about 19,000 ha (190km2) appear to be inundated which corresponds to about to about 7% of the total analysed zone. In this analysed area and according to WorldPop data the population is estimated to ~126,000 people, ~ 32,000 live in the flooded zone and about 70,000 within 100 meters distance from the flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent in the district of Jilib, Middle Juba, Somalia. The analysis was conducted analyzing Sentinel-1 images acquired on the 1 May 2018. As observed from the satellite imagery, a total of 92,000 ha of land were inundated in the area of interest. The most affected districts are Saakow, with almost 38,000 ha of flooded land and southern Diinsoor, with almost 27,000 ha. At least 20 settlements are potentially located within the flooded area. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent and potentially damaged buildings within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Within the extension of the town, 66% of the buildings are located inside areas totally inundated and 34% inside areas partially inundated. Building footprints were generated by Humanitarian Open Street Map using an image from 2015, so the number of buildings affected might have been underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over the districts of Saakow and Bu'aale, Middle Juba, Somalia. The mostly affected areas are in the district of Saakow, where 365 km2 of land are flooded. In total, 19 settlements are within the inundated zones: 12 in Buaale and 7 in Saakow; however, more than 100 settlements, are within 500 meters distance from the flooded areas and might be affected due to the proximity to Juba River. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 7 May 2018. As observed from the satellite radar image, a total of 11,329 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 8,800 people are potentially affected or living close to the potentially flooded area. This corresponds to about 6% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 1 May 2018. As observed from the satellite radar image, a total of 9,200 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 12,000 people are potentially affected or living close to the flooded area. This corresponds to about 7% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 image acquired on the 30 April 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. More than 50% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based completely submerged in water. The areas of partially flooded districts present affected roads and buildings. Districts located in the north of the town are partially or completely obscured by the clouds but they might be totally flooded as well, due to the observations in the surrounding areas of the district. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over the district of Baardheere (Gedo Region), the districts of Saakow and Bu'aale (Middle Juba region) and the district of Diinsor (Bay region), Somalia using a Radarsat-2 image acquired on 09 May 2018. As observed from the satellite radar image, a total of 61,000 ha of land were inundated in the area of interest. By using WordPop data, we estimate that at least 100,000 people are potentially affected or living close to the potentially flood area. This correspond about 35% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent and IDP distribtuion within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Around 70% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based, Radar and Kutimbo completely submerged in water. The flood waters inside areas of partially flooded districts are receding. More than 110 IDP sites are located inside the town, and 50% of them are inside areas completly flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • Updated March 17, 2019 | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Somalia. Source: http://ngoaidmap.org/location/gn_51537
  • 100+ Downloads
    Updated February 8, 2019 | Dataset date: Jan 31, 2019
    This dataset updates: Every three months
    The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of February 1 2019 for entire Southern and Eastern Africa.
  • 100+ Downloads
    Updated December 20, 2018 | Dataset date: Dec 18, 2018
    This dataset updates: Every month
    The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of December 18 2018 for entire Southern and Eastern Africa.
  • 200+ Downloads
    Updated November 14, 2018 | Dataset date: Sep 3, 2018
    This dataset updates: Every year
    Prolonged drought conditions have contributed to a rapid deterioration of the humanitarian context in Somalia, since early 2016. Caused by four successive seasons of below average rainfall, drought has resulted in substantial livestock herd depletion and a reduction in cereal production, while cereal prices have risen to well above the average, resulting in reduced household access to food and income. Additionally, above average rainfall in the first half of 2018 caused severe flooding across parts of South Central Somalia, and coastal areas in Puntland and Somaliland, causing further waves of displacement and destruction of agricultural land. Parallel to these climatic trends, insecurity and the presence of active armed groups continue to limit humanitarian access, most notably in the South Central region of Somalia. In light of this evolving context, the need for integrated and harmonised information systems to support both immediate and long-term humanitarian response is ever more crucial, particularly through comprehensive assessments and mapping activities. To address these information needs, United Nations Office for the Coordination of Humanitarian Affairs (OCHA), in partnership with REACH conducted a Joint National Multi-Cluster Needs Assessment (JMCNA) across Somalia. Households were sampled for statistical representativeness stratified by internally displaced person (IDP) and host community households at the district level, with a 92% confidence level and a 10% margin of error. More information on the methodology, in the attached methodology note.
  • 100+ Downloads
    Updated August 14, 2018 | Dataset date: Jul 31, 2018
    This dataset updates: Every month
    UNICEF Refugees Situation and Response database
  • 100+ Downloads
    Updated February 1, 2018 | Dataset date: Aug 28, 2017-Aug 31, 2017
    This dataset updates: Every month
    This data presents the findings from the August water price monitoring in Bay, Gedo, Lower Juba, Middle Shabelle and Nugaal regions. Data is collected through a monthly Key Informant questionnaire with water point administrators.
  • 100+ Downloads
    Updated May 17, 2017 | Dataset date: Mar 31, 2017
    This dataset updates: Every month
    Water Price Monitoring in Gedo Region, March 2017