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  • OCHA Afghanistan
    Updated March 29, 2017 | Dataset date: Sep 25, 2012
    This spatial dataset provides the delimitation and composition of the Afghanistan administrative boundaries (levels 0 - 3) and forms one of the Common Operational Datasets (COD) for the humanitarian community. It comprises of polygons of 399 district boundaries (level 2), 34 province boundaries (level 1) and the national boundary. The UNAMA region boundary available in this dataset is not an official administrative level and is included as a reference for operational purposes. The dataset is attributed with the Afghanistan Geodesy and Cartography Head Office (AGCHO) p-codes and names (Dari and English) was obtained from AGCHO on 25 September 2012.
    • ZIP
    • XLSX
    • This dataset updates: Every year
  • OCHA Nigeria
    Updated March 29, 2017 | Dataset date: Nov 18, 2016
    Nigeria administrative boundaries. Data obtained from United Nations SALB
  • OCHA ROMENA
    Updated March 24, 2017 | Dataset date: Nov 30, 2016
    Administrative boundaries
  • OCHA ROMENA
    Updated March 23, 2017 | Dataset date: Nov 30, 2016
    This layer contains the rivers in Libya. Update date: 2011 Source: WFP, Global Logistics Cluster
  • OCHA ROMENA
    Updated March 23, 2017 | Dataset date: Nov 30, 2016

    This dataset has no description

  • OCHA ROSEA
    Updated March 22, 2017 | Dataset date: Jan 1, 2012
    Abstract: This data comes from [http://www.iebc.or.ke] Admin 2 is the Kenya constituencies layer , updated in 2012.
  • OCHA Somalia
    Updated March 22, 2017 | Dataset date: Jun 6, 2014
    Summary: Somalia Regional Boundaries - Polygon - SHP Abstract: Somalia has 2 levels of administrative Boundaries CODs: Admin level 1 = Region; Admin Level 2 = District. There are multiple pcode formats in this shapefile (Region_AdminLevel1),REG_CODE is used by humanitarian partners in Somalia and was developed by the United National Development Programme (1998).HRpcodes are duplicates of REG_CODE and can be used to link to products derived from HR.info such as the assessment registry. Regional-boundaries_polygon is the earlier registered dataset. Instructions: Unzip
  • ACLED Conflict Data Project
    Updated March 21, 2017 | Dataset date: Jan 1, 2017
    ACLED makes its dataset of disaggregated conflict and protest data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files. ACLED data are presented in three forms: the first is an Excel for the entire African continent; the second is a corresponding shapefile of the African continent created from those data; the third format is an Excel file called “COUNTRY X” containing data disaggregated by country which occur in the named state’s territory (including foreign groups active in a state’s territory).
    • ZIP
    • XLSX
    • 40+ Downloads
    • This dataset updates: Every year
  • OCHA South Sudan
    Updated March 16, 2017 | Dataset date: Oct 31, 2014
    The humanitarian needs overview (HNO) promotes a shared understanding of the impact and evolution of a crisis within the humanitarian country team (HCT) and informs strategic response planning. This ensures that credible evidence and a joint analysis of needs underpins an effective and targeted humanitarian response. Following indicators were identified during the 2015 HNO process for South Sudan Theme 01: Conflict Protection Displaced Population - Conflict Displacement Count - Access to Markets - % Health care facilities affected - # of Schools Occupied by IDPs and/or Armed Forces - # of people per water source Theme 02: Malnutrition - Nutrition Classification(GAM) Theme 03 - Death, Injury and Disease - Disease Outbreak - # of Functioning health care facilities/pop. - IPC - Conflict Displacement Count - # of people per water source Theme 04 - Food Security and Livelihood - IPC
    • XLS
    • 20+ Downloads
    • This dataset updates: Never
  • This map illustrates satellite-detected flood waters extent and evolution between 08 and 10 March 2017 over Maroantsetra area, Analanjirofo region in Madagascar as detected by TerraSAR-X radar images acquired on 10 and 08 March 2017. Between 08 and 10 March 2017 and within this map extent, waters receded from about 4,270 ha of lands. Many areas within this zone remain affected and ~6,230 ha of lands were still flooded on the 10 March 2017 whereas ~10,500 ha of lands were flooded the 08 March 2017. It corresponds to about 40% decrease. 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 waters over Maroantsetra area, Analanjirofo region in Madagastcar as observed from the TerraSAR-X radar image acquired on 08 March 2017 compared with to a Radarsat-2 image acquired on 04 May 2014. Several zones seem to be inundated and have experienced an increase of standing waters. These zones are mainly agricultural and/or swamps around the town of Maroantsetra. These waters seem to be the results of the recent heavy rain related also to the cyclone ENAWO-17 which made landfall the 07 March 2017. 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 shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-3 satellite on 04 March 2017, UNOSAT located 1,553 probable shelters. This is a 1% increase in shelters since the previous UNOSAT analysis done using an image collected 24 January 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.
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-2 satellite on 17 February 2017, UNOSAT located 6,460 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 0.3 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 03 December 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.
  • Global Healthsites Mapping Project
    Updated March 10, 2017 | Dataset date: Mar 10, 2017
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 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.
  • OCHA ROAP
    Updated March 8, 2017 | Dataset date: Jan 1, 2013
    Bangladesh Settlements and Major Towns.
  • OCHA ROAP
    Updated March 8, 2017 | Dataset date: Jan 1, 2000
    The original source of the data is Local Government Engineering Department (LGED) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
  • OCHA ROSA
    Updated March 7, 2017 | Dataset date: Dec 31, 2010
    Common Operational Data (COD) for Administrative boundaries of Madagascar Levels 0-4. Level 0 : Country; Level 1 : Region, Level 2: District, Level 3 : Commune, Level 4 : Fokontany.
  • OCHA ROWCA
    Updated March 7, 2017 | Dataset date: Sep 17, 2014
    The geodata represents the 4 provinces, 14 districts, 167 chiefdoms, 1316 counties, Corrected and cleaned with ITOS' help
  • Projected population estimates by County 2009 - 2018 estimates from UNICEF and estimated population subcounty in 2015 calculated from worldpop dataset.
    • XLSX
    • This dataset updates: Every year
  • OCHA ROWCA
    Updated March 6, 2017 | Dataset date: Aug 5, 2012
    Last update March 2017 according to Admin COD datasets for SEN endorsed by RO on January 2016 and those from DTGC (Direction des Travaux Géographiques et Cartographiques); see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin level 0 (International), Admin Level 1 (Region), Admin Level 2 (Departement), Admin Level 3 (Arrondissement).
  • OCHA ROWCA
    Updated March 3, 2017 | Dataset date: Jan 25, 2012
    Settlements COD datasets for SEN endorsed by RO on February 2016; see metadata for description of cleaning and processing performed by ITOS. Capitals (national, regional, departemental) The dataset represents the regions capitals of Senegal. This is a zipped file for administrative region capitals. Scale: 1/1,000,000 Last update February 2017
  • OCHA ROSEA
    Updated March 2, 2017 | Dataset date: Jan 15, 2013
    IEBC. This dataset is not an official administrative layer from the authorities. County Pcodes adapted from IEBC and edited by OCHA. This dataset is not an official administrative layer from the authorities. The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.
  • OCHA ROSEA
    Updated March 2, 2017 | Dataset date: Jan 1, 2016
    This is Kenya Wards administrative. The dataset was digitized from a digital PDF maps by FAO Kenya
  • OCHA ROSEA
    Updated March 1, 2017 | Dataset date: Jan 1, 2002
    Kenya Province boundaries Admin 1 is the Province layer , last updated in 2002 by Central Bureau of Statistics(CBS), PCODES developed