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  • IOM Missing Migrants Project
    Updated February 23, 2017 | Dataset date: Feb 21, 2017
    Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities for 2014, and estimates deaths over the past 15 years.
    • JSON
    • 100+ Downloads
    • This dataset updates: Every day
  • HDX
    Updated February 23, 2017 | Dataset date: Feb 23, 2017
    This dataset contains information about conflict events in the Lake Chad basin crisis region as compiled by ACLED. Data is encoded as utf-8. The second row of each CSV contains HXL tags. The data is compiled from two other datasets: ACLED Realtime 2016 ACLED Version 6, 1997 - 2015 More about ACLED data can be found here: http://www.acleddata.com/
  • HDX
    Updated February 23, 2017 | Dataset date: Feb 21, 2017
    This dataset contains South Sudan data for the Map Explorer that is derived from other data. WARNING: Derived data - go to original sources! Sources: 2016 Humanitarian Needs Overview for South Sudan ACLED Conflict Data for Africa Realtime 2017 South Sudan Administrative Boundaries WFP VAM MarketMonitor
  • OCHA Nigeria
    Updated February 23, 2017 | Dataset date: Feb 23, 2017
    The dataset represents the Common Operational Data (COD) for administrative boundaries of Nigeria. Each administrative unit contains the p-code and name. Admin COD datasets (Admin 0 – 2) for Nigeria are endorsed by the Office of the Surveyor General of the Federal Republic of Nigeria (OSGOF) and the IMWG Feb 2017. See metadata for description of methodology for admin level 3 and the cleaning and processing performed by ITOS. Levels 0 - 3 are polygonal administrative units, Level 3 only covers Borno and Yobe States.
  • International Organization for Migration (IOM)
    Updated February 22, 2017 | Dataset date: Oct 1, 2016-Dec 31, 2017
    Round III of DTM captured information on variables about the population of concern, disaggregated at the settlement level in Somalia
    • XLSX
    • This dataset updates: Every three months
  • International Organization for Migration (IOM)
    Updated February 22, 2017 | Dataset date: Dec 1, 2016-Jan 31, 2017
    Drought displacement tracking for somalia
    • xslx
    • This dataset updates: Every day
  • OCHA ROWCA
    Updated February 22, 2017 | Dataset date: Jan 1, 2015-Jan 24, 2017
    This collection of datasets is related to the Lake Chad Basin crisis visualization. The collection includes key crisis figures, Number of IDPs and refugees; number of incidents by location; Accessible territories; and data on funding.
    • CSV
    • This dataset updates: Every month
  • International Organization for Migration (IOM)
    Updated February 22, 2017 | Dataset date: Oct 1, 2016-Dec 31, 2016
    Somalia Flow Monitoring Dataset
    • XLSX
    • This dataset updates: Every three months
  • This map illustrates satellite-detected flood waters over Save River in Mozambique as observed from the Radarsat-2 images acquired on 17 February 2017 and 05 February 2017. A decrease of surface waters was observed in the 17 February 2017 image compared to the 05 February 2017 image along the Save river. 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.
  • The Tropical Cyclone Dineo-17, is approaching Mozambique coasts and is expected to make landfall The 16 February 2017 in the central province of Inhambane. Potential heavy rainfall are also expected according microwave satellite sensors and might induce flooding in the affected areas. This report provides an analysis on the potentially exposed population per wind speed zones in Mozambique. According to our analysis approximately 250,000 people in Mozambique may be exposed to over 120km/h sustainable wind speeds and 59,000 people might be exposed to 90km/h wind speed. About 1,160,000 people might be exposed to moderate winds of 60km/h.
  • This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 24 January 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 24 January 2017, indicating the Mosul fires in white. The inset on the top left corner, from 21 January 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. 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 fires and environmental damage at and around Al Qayyarah, approximately 60 Km south of Mosul, Iraq. The main frame shows fires and the oil spill as seen in imagery collected between 23 December 2016 and 24 January 2017. Marked in blue are fires that were detected in 23 December 2016 but appear inactive as of 24 January 2017. Insets on the left show the oil spill north of Al Qayyarah, detected with both radar and optical imagery from multiple dates. As seen in the imagery, the oil spill is very close to one of the streams which is incidentally a tributary to the Tigris River; therefore, it is possible that oil is spilling to the river. The spectral signature from thermal imagery also suggest that areas of the oil spill are on fire. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-1 satellite on 24 January 2017, UNOSAT located 1,535 probable shelters. This is a 13% increase in shelters since the previous UNOSAT analysis done using an image collected 12 November 2016 and the first increase since July 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • OCHA South Sudan
    Updated February 22, 2017 | Dataset date: Jan 1, 2017-Jul 31, 2017
    South Sudan Integrated Food Security Phase classification and population by state and County
    • XLSX
    • This dataset updates: Every six months
  • OCHA ROSC
    Updated February 22, 2017 | Dataset date: Feb 17, 2017
    Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes. Geodatabase maintains Arabic names better than shapefile Note that Admin 4 is the populated places layer. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Mantika Admin Level 3 = Sub-district= Nahya Admin Level 4 = Populated places = City or Village or Farm or Camp
  • OCHA Pakistan
    Updated February 22, 2017 | Dataset date: Jan 1, 2016-Dec 31, 2017
    Pakistan KP-FATA 4Ws 2016 with HXL Tags
    • XLSX
    • This dataset updates: Every three months
  • ReliefWeb
    Updated February 21, 2017 | Dataset date: Feb 21, 2017
    This dataset contains key figures (topline numbers) on the world's pressing humanitarian crisis as shown on ReliefWeb's Crises app. The data includes key figures such as the number of affected population and funding status. The data are curated by ReliefWeb's editorial team based on their relevance to the humanitarian community. Descriptions of the files and columns within the files are included in the Additional Metadata.xlsx file.
    • CSV
    • JSON
    • XLSX
    • 30+ Downloads
    • This dataset updates: Every week
  • OCHA Afghanistan
    Updated February 21, 2017 | Dataset date: Jan 1, 2016-Jan 26, 2017
    Newly displaced population due to conflict between 01 Jan 2016 and 26 Jan 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 21 February 2017 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • This dataset updates: Every week
  • ACLED Conflict Data Project
    Updated February 21, 2017 | Dataset date: Feb 18, 2017
    ACLED conflict and protest data for African states from 1997 – December 2015 is available in Version 6 of the the ACLED dataset. Realtime data for 2017 is collected and published on a weekly basis, and will continue to be made available through the Climate Change and African Political Stability (CCAPS) website and on this page. Due to the realtime nature of data collection which results in occasional reporting lags, and/or insufficient detail in early event reports for inclusion in the dataset, a small number of events in the 2017 data pre-date this period. These have been coded and published for the first time in 2017 and do not duplicate any events found in the full published dataset. Data files are updated each Monday, containing data from the previous week. The data files below include a single running file for all 2017 data, with monthly files updated on an ongoing basis.
  • Original boundaries from UN World Food Program and Mozambique National Institute of Statistics. Population data was added by OCHA from Geohive and includes census 2007 and a projection for 2012 and 2015.
  • UNHCR Turkey
    Updated February 20, 2017 | Dataset date: Jan 1, 2017
    Administrative Divisions dataset was prepared at 1:1,000,000 scale and is the property of General Command of Mapping, Turkey. This dataset was shared through http://www.hgk.msb.gov.tr/u-23-turkiye-mulki-idare-sinirlari.html for humanitarian use only. The original administrative divisions data was shared as polyline. This was converted to polygon, cleaned and PCODE were assigned jointly by UNHCR and OCHA. The PCODE reference is based on the coding system used by Turkish Statistical Institute. Refugee camps: Data collected by UNHCR. The PCODE reference is based on the coding system used by Turkish Statistical Institute.
  • OCHA ROSA
    Updated February 20, 2017 | Dataset date: Dec 31, 2007
    Mozambique Administrative Boundaries Level 3 (Postos)
    • SHP
    • This dataset updates: Every year
  • Kenya's Population Distribution by Sex, Number of Households, Area and Density per constituency
    • CSV
    • This dataset updates: Every year
  • International Organization for Migration (IOM)
    Updated February 20, 2017 | Dataset date: Feb 1, 2015
    This shapefile was produced for the flood response of 2015 on the month of January
  • Joint IDP Profiling Service (JIPS)
    Updated February 20, 2017 | Dataset date: Feb 1, 2015-Jan 1, 2016
    Somalia (Hargeisa) profiling exercise of IDPs from Somaliland, IDPs from South-Central Somalia, economic migrants, host communities, and refugees and asylum-seekers with data collected between February and June 2015 (report published January 2016). The exercise included a household survey administered to a sample of 2,510 households. Data can also be explored through the DART.
    • XLSX
    • This dataset updates: Never