Somalia GIS data

This dataset contains annual, 100m-resolution above ground biomass (AGB) estimates from CTrees, a NASA-affiliated forest-carbon monitoring organization, clipped to this country's boundary from CTrees' global AGB raster. Pixel values are stored as int16, scaled x10 relative to the true value in megagrams per hectare (Mg/ha) -- divide by 10 to get Mg/ha. See the caveats field and resource description for details on how this scale factor is recorded and why it isn't applied automatically by most tools.

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Somalia Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2015

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

The Malaria Atlas Project Data Platform provides different tools to learn about, explore, and work with malaria data. The platform also provides malaria data at varying levels of detail to suit different needs. This suite of tools aims to support the needs of diverse audiences, including the general public, the media, policy analysts, engineers, as well as researchers.

GSOCmap is the first global soil organic carbon map ever produced through a consultative and participatory process involving member countries, which makes this map totally new and unique. In fact, the map was prepared by member countries, under the guidance of the Intergovernmental Technical Panel on Soils and the Global Soil Partnership Secretariat. Countries agreed on the methodology to produce the map and were trained on modern tools and methodologies to develop national maps. The Global Soil Partnership then gathered all national maps to produce the final product, ensuring a thorough harmonization process.

Somalia Sub-national level dependency ratios: Africa 2010  Gridded, spatial datasets for Africa providing version 1.0 estimates for dependency ratios at sub-national level. Ratios are based on sub-national estimates for 5-year age group proportions. The series is comprised of 3 raster datasets: 1) The ratio of dependents (both young, 0 to 14, and old, 65 ) upon the working age population; 2) The ratio of young dependents upon the working age population; 3) The ratio of older dependents upon the working age population.   REGION: Africa   DATA RESOLUTION: Sub-national administrative areas   SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)   PROJECTION: Geographic, WGS84   UNITS: Sub-national dependency ratios   FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)   DATASET CONSTRUCTION DETAILS: This dataset is derived from the WorldPop Whole Continent Age Structures data series, described here:   http://www.worldpop.org.uk/data/data_sources/. The Population count raster datasets for the relevant age groups were combined using spatial analytical tools in a GIS system, in order to derive the dependency ratios. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/   DATE OF PRODUCTION: Dec 2016

Aridity index (AI) is an effective estimator of drought status, and spatiotemporally continuous long-term AI dataset is critical for drought assessment and applications

Gridded datasets used in Jones et al. (2021) paper 'Agrobiodiversity Index scores show agrobiodiversity is underutilized in national food systems'. Details of how datasets were made and underlying sources are provided in Jones et al. (2021) Supplementary Information - with a resolution of 0.05* 0.05 pixels approximately 5000 metres and referenced 2022

The dataset contains global crop at 0.0089286 deg resolution (about 1 squared kilometer).   Each pixel represents the area fraction of the specific cover (i.e. percentage of the pixel with rangelands)

Population density (in agriculture: standing stock or plant density) is a measurement of population per unit land area.

This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator).   The fourth version of GLW, compared to the previous ones, reflects the most recently compiled and harmonized subnational livestock distribution data and much more detailed metadata.   The layers contain the density of animals per km², with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, goats, pigs and sheep

This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et al., 2016, "The credibility challenge for global fluvial flood risk analysis," published in the Environmental Research Letters Journal. Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data)

This layer shows the movement path of 2015 Tropical Cyclone Chapala. On Monday 2 November 2015, Tropical Cyclone Chapala made a landfall in Yemen; however, its effects were also felt across the Gulf of Aden in Somalia where extensive rainfall was experienced in the Northern Bari region in Bosaso district, Puntland. The storm reached maximum wind speed of 130knots.  According to a joint inter-agency rapid assessment more than 500 families (4,000 people) were affected by Tropical Cyclones Chapala and Megh, most affected lived in Gardaful Region, Puntland. No human loss of life was reported, but the rainfall and waves destroyed people’s homes, washed fishing boats and nets, killed livestock (an estimated 3,000 sheep and goats, as well as 200 camels) and caused damage/destruction to public infrastructure including hospitals, roads and schools. It was also estimated that 4,000 people were displaced, with 1,129 people being worst affected, having lost their homes and livelihoods (business, fishing boats, engines and nets), which were swept away by waves. It was reported that there had been extensive damage/destruction to people’s livelihoods, with 80 per cent of villages in Alula and 60 per cent of villages in Af Kalahay Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Murcanyo, Sayn Weyn, Sayn Yar, Toxiin and Xaabo experiencing loss of livestock and damage to crops and fisheries.

Current (February 2023) food security outcomes and forward-looking analysis representing the most likely food security outcomes for the near term (February 2023 - May 2023) and medium term (June 2023 - September 2023) periods.

This layer shows the path followed by Tropical Cyclone Bandu. Early on Saturday, 22 May 2010, Tropical Storm 02A moved into the Gulf of Aden and was named "Bandu." At that time, Bandu had maximum sustained winds near 45 knots (52 mph) and was 50 miles north-northwest of Cape Guardafui, Somalia. The storm hit Bari Region in northern Somalia, resulting in flooding and displacement of approximately 12,000 people. TC Bandu quickly dissipated because of cooler waters, higher wind shear and drier air in the Gulf of Aden. It curved southwest and made landfall in northeast Somalia On May 26, OCHA reported flooding in parts of Belet Weyne town, Hiran Region, due to embankment breaches along the Shabelle River as a result of 2010 TC Bandu, displacing an estimated 17,000 people. According to the FAO Somalia Water and Land Information Management Project (SWALIM), flooding also damaged crops and resulted in the displacement of a combined population of nearly 2,000 people in Jamaame town, Lower Juba Region, as well as Afgooye and Kurtunwaarey districts, Lower Shabelle Region.

This was the first documented tropical cyclone to move through the Gulf of Aden.In May 28,1984 TC1A storm struck about 65Km (40 miles) west of Berbera, Somalia and quickly dissipated. The storm had maximum wind speeds of 23m/s before dissipating. This layer shows the occurence of the tropical cyclone in Woqooyi Galbeed province, Somalia. 1984 TC 1A remained a compact system throughout its life. Even at its maximum intensity of 45 kt (23 m/s) between 00002 and 06002 on 27 May, the radius of greater than 30 kt (15 m/s) winds was estimated to be only 60 nm (111 km).  The cyclone moved north-westward until late on the 26th, then turned to the west-southwest and entered the Gulf of Aden in response to a strong subtropical ridge over Saudi Arabia.The storm then transited up the Gulf of Aden until it made landfall at 03002 on 28 May, approximately 35 nm (65 Km) west of Berbera, Somalia. There were no reports of damages or injuries from this system.

This layer shows the movement path for 2015 Tropical Cyclone Megh. Following Tropical Cyclone Chapala, new tropical cyclone Megh originated from the Arabian Sea causing even more rains in parts of Bari region in Puntland and Somaliland. The storm produced a maximum windspeed of 110knots. Areas affected included: Af Kalahay, Alula, Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Sayn Weyn, Sayn Yar, Toxin and Xaabo. Re-estimated population figures after Tropical Megh, showed 4.9 million people were in need of assistance, 308,700 children under-5 were acutely malnourished, of which 55,800 were severely malnourished and 1.1 million remain in a protracted internal displacement situation.

Somalia Current Situation FEWS NET Acute Food Insecurity Classifications Data from 2011

This layer shows Somalia Districts struck by 2012 TC Murjan. They include, Bossaso, Bandarbeyla, Iskushuban, Garoowe and Eyl District. TC Murjan formed over the south Arabian Sea in association with an active inter tropical convergence zone during last week of October 2012. Moving west-southwestwards, it crossed Somalia coast between 1700 and 1800 UTC of 25th October near lat. 9.80N and long. 50.80E. The system could maintain its intensity of cyclonic storm till landfall, basically due to low to moderate vertical wind shear. TC Murjan caused heavy rainfall and strong wind over Somalia. The storm produced maximum wind speeds of 68.4Km/hr(40.2mph) and rainfall amounts of (100-200)mm. Flash flooding washed away livestock and bridges in the Bari region, causing some fatalities. 100,000 livestock were reported to have died as a result of the storm. After the landfall, due to land interaction, it weakened into a deep depression over coastal Somalia at 1800 UTC of 25th October. It further weakened into a depression over Somalia in the morning of 26th October while moving west-southwest wards

This layer show two Somalia Districts struck by 2015 Tropical Cyclone Chapala, Berbera and Bossaso Districts. On November 2, 2015 TC Chapala entered the Gulf of Aden in Somalia as the strongest tropical cyclone on record. 2015 TC Chapala prduced maximum wind speeds of 130knots. It brought rainfall in Northern Bari Region in Bossaso Districts. The villages struck within the recorded districts include, Baargaal, Bander, Bareeda, Butiyaal, Caluula, Murcanyo, Qandalla, Xaabo, Biycad, Bulahar, Ceelsheik, Shacable, Xaafun. According to a joint inter-agency rapid assessment more than 500 families (4,000 people) were affected by Tropical Cyclones Chapala and Megh, most affected lived in Gardaful Region, Puntland. No human loss of life was reported, but the rainfall and waves destroyed people’s homes, washed fishing boats and nets, killed livestock (an estimated 3,000 sheep and goats, as well as 200 camels) and caused damage/destruction to public infrastructure including hospitals, roads and schools. It was estimated that 4,000 people had been displaced, with 1,129 people being worst affected, having lost their homes and livelihoods (business, fishing boats, engines and nets), which were swept away by waves. It was reported that there had been extensive damage/destruction to people’s livelihoods, with 80 per cent of villages in Alula and 60 per cent of villages in Af Kalahay Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Murcanyo, Sayn Weyn, Sayn Yar, Toxiin and Xaabo experiencing loss of livestock and damage to crops and fisheries.

Tropical Cyclone Gati originated from the Bay of Bengal. On 22 November 2020 at around 13:00 UTC, TC Gati became the strongest ever documented tropical storm to hit Somalia. Gati made landfall at Ras Hafun (Northeast of Somalia) with maximum sustained winds of 170Km/hr and was classified as a Category 2 storm (or category 2 hurricane on the Saffir-Simpson scale). This layers shows the occurence of TC Gati in two regions of Somali, Sanaag and Bari Regions. TC Gati primarily impacted parts of Bari region in Puntland State and then Sanaag region in Somaliland. Authorities reported rainfall totals from the storm to be greater than the amounts normally seen for the whole year. In a 24-hour period, Bosaso recorded 128mm of rain and Balidhidin 103mm. By 25th November 2020, TC Gati had dissipated but it left trail of destruction across Bari and Sanaag regions of Somalia. Authorities estimated 180,000 people (30,000 households) had been affected in Puntland Regional State, with 42,000 people (7,000 households) displaced and at least eight people killed and unknown number injured, with considerable damages reported to infrastructure, livelihoods, and social services (telecommunication, electricity, roads, schools). Resultant flooding bursted the sewerage system and increased risk of diseases among the affected population. By the end of December, the storm had killed 9 people and over 63 000 livestock (sheep and goats), and affected around 183 000 people.  The heavy rains caused the Ceel-Daahir River in Puntland to flood, blocking vehicles from bringing crucial supplies. In some towns such as Xaafun, Hurdiye, and Karduush people reported losing their entire herds of livestock. There were also reports of the destruction of 120 fishing vessels in these areas resulting in the loss of livelihood for an estimated 460 fishermen.

This layer shows Somalia Disricts struck by 2013 TC3A. They include, Bossaso, Bandarbeyla, Caluula, Iskushuban, Qandala, Qardho, Garoowe and Eyl District. On 8 November 2013, TC3A formed off the north-east coast of Somalia across the Indian Ocean, moving directly towards the coast of the country during the following days. On November 11, 2013 TC3A struck near the border of the Nugal and Bari regions and caused severe flash flooding. The storm produced a maximum wind speed of 74kph(46mph) and (100-200)mm of rainfall. 2013 TC3A was the deadliest tropical cyclone on record in Somalia, killing more than 162 people. The depression also destroyed over 1,000 houses, displaced tens of thousands of nomads, and killed millions of livestock. It was estimated that overall, 142,380 persons were affected by the disasters, with 8,523 households being worst hit and 1,435 households having lost all their livestock. It was reported that there were approximately 80 deaths mostly of children and the elderly who were most vulnerable to hypothermia and exposure. Makeshift structures for pastoralists were conspicuously absent or just frames, likely destroyed or damaged by high winds and rains. Numerous water sources were flooded, no longer serviceable and or contaminated in some areas. There were unconfirmed disease outbreaks and contamination of water sources from decaying animal remains. Thousands of livestock were reported dead as a consequence of icy rain, which was noted in the aerial assessment. FAO estimated 800,000 livestock were in the affected area. Anecdotal evidence suggested a less than 10 per cent survival rate for livestock in the hardest hit areas.

This layer shows the movement path of 2020 Tropical Cyclone Gati in Somalia. TC Gati originated from the Bay of Bengal and became the strongest ever documented tropical storm to hit Somalia. It made landfall at Ras Hafun (Northeast of Somalia) with maximum sustained winds of 170Km/hr and was classified as a Category 2 storm. Tropical Cyclone Gati was the strongest storm ever recorded in the northern Indian Ocean and wreaked unimaginable damage on people and property. GATI left a trail of destruction across Bari and Sanaag regions of Somalia, disproportionately affecting coastal communities. Authorities estimated about 180,000 people (30,000 households) to have been affected in Puntland Regional State, with 42,000 people (7,000 households) displaced and at least eight people killed and unknown number injured, with considerable damage reported to infrastructure, livelihoods, and social services (telecommunication, electricity, roads, schools). Resultant flooding burst the sewerage system and increased the risk of diseases among the affected population. The worst hit areas were Baargaal, Foocaar, Garduush, Hurdiya, and Xaafuun, Foocaar, Garduush and Garan Hoose were worst hit villages in the Indian Ocean, Bosaso / Qandala in the Gulf of Aden, and Baarmadowe.

Tropical Cyclone 3A was recorded on November 11, 2013 when a deep depression struck near the border of Nugaal and Bari regions and caused severe flash flooding. It was the deadliest tropical cyclone on record in Somalia.It formed off the north-east coast of Somalia across the Indian Ocean, moving directly towards the coast of the country. This cyclone had windspeeds of 74kph(46mph) and was characterized with rainfall amounts between (100-200)mm. The cyclone led to loss of human lives and destruction of assets including livestock and fishing boats. It destroyed numerous settlements, service centers, roads, schools, communication and electrical installations. The most affected areas included, Dangorayo, Bandar Beyla, Garowe and Eyl districts. Impacts can be summarized as follows:  Number of People Affected: 142,380 Number of People worst affected: 8,523 Number of people displaced: 5,000 Number of people injured: 1,435 Number of death:100 Number of lost livestock: 2,746 Crop destroyed:12000ha

Tropical cyclones hitting Somalia Regions for the period between 1984 to 2020. This layer indicates the frequency of cyclone occurence within specific regions of Somalia. The cyclones recorded include: 1984 Tropical Cyclone 1A 1984 Tropical Cyclone 4B 1992 Tropical Cyclone 12A 1994 Tropical Cyclone 05A 1997 Tropical Cyclone 03A 2004 Tropical Cyclone Agni 2010 Tropical Cyclone Bandu 2012 Tropical Cyclone Murjan 2013 Tropical Cyclone 3A 2015 Tropical Cyclone Chapala 2015 Tropical Cyclone Megh 2018 Tropical Cyclone Sagar 2019 Tropical Cyclone Pawan 2020 Tropical Cyclone Gati

2015 TC Megh struck Berbera and Bossaso Districts in Somalia. The storm orignated from the Arabian Sea causing even more rains in parts of Bari region in Puntland and Somaliland. On November 9, 2015 just days after TC Chapala, TC Megh passed 57 km (36 mi) north of Cape Guardafui, Somalia, where it dropped heavy rainfall 300% of the annual average. Eyl reported 160 mm (6.3 in) of rainfall over 24 hours.  The villages hitted in the two districts included, Af Kalahay, Alula, Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Sayn Weyn, Sayn Yar, Toxin, Xaabo, Baargaal, Bander, Bareeda, Butiyaal, Caluula, Murcanyo, Qandalla, Xaabo and some parts of Xaafun, Biyacad, Bulahar, Ceelsheik and Shacable  TC Megh damaged roads, crops, and schools. Re-estimated population figures after Tropical Megh, showed 4.9 million people were in need of assistance, 308,700 children under-5 were acutely malnourished, of which 55,800 were severely malnourished and 1.1 million remain in a protracted internal displacement situation. Summary of impacts include: People affected: 132,000 People Displace: 3,000 Worst hit people: 800 Destroyed houses: 1,129

Forward-looking analysis representing the most likely food security outcomes for the near term (August 2026 - September 2026) and medium term (October 2026 - January 2027) periods.