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  • OCHA ROLAC
    Updated February 22, 2018 | Dataset date: Jan 1, 2009
    Admin COD datasets endorsed by OCHA Colombia on December 2015; see metadata for description of cleaning and processing performed by ITOS. Colombia Administrative Boundaries Level 0 (Colombia), Level 1 (Departments), Level 2 (Municipalities) This dataset contains a link to GeoNode Colombia and a zipped file. Colombia Admin Level 2 Boundaries
  • OCHA Niger
    Updated February 21, 2018 | Dataset date: Jan 1, 2006
    Niger administrative level 0 (country), 1 (region), 2 (department) and 3 ( 'urban commune' or FR 'commune urbaine', 'rural communes' or FR 'communes rurale', and 'administrative post' or FR 'postes administratif) boundary polygons PLEASE SEE CAVEATS / COMMENTS
  • These datasets are derived from the boundaries of the Barangays as observed at the end of April 2016 as per the Philippine Geographic Standard Code (PSGC) dataset. It has been generated on the basis of the layer created by the Philippine Statistics Authority (PSA) in the context of the 2015 population census. These datasets have been vetted by staff at The Carl Vinson Institute of Government's Office of Information Technology Outreach Services (ITOS) according to their COD assessment protocol found in the COD Technical Support Package (https://sites.google.com/site/commonoperationaldataset/geodata-preparation-manual/itos-process). Acknowledge PSA and NAMRIA as the sources. LMB is still the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. The dataset can only be considered as indicative boundaries and not official. * For administrative level 4 (Barangay) please contact the contributor (OCHA Philippines) via this page. This COD replaces https://data.humdata.org/dataset/philippines-administrative-boundaries Philippines administrative levels: (0) Country (1) Region (Filipino: rehiyon) (2) Provinces (Filipino: lalawigan, probinsiya) and independent cities (Filipino: lungsod, siyudad/ciudad, dakbayan, lakanbalen) (3) Municipalities (Filipino: bayan, balen, bungto, banwa, ili) and component cities (Filipino: lungsod, siyudad/ciudad, dakbayan, dakbanwa, lakanbalen) These shapefiles are suitable for database or ArcGIS joins to the sex and age disaggregated population statistics found on HDX here.
  • This geodatabase contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.
  • OCHA ROSC
    Updated February 13, 2018 | Dataset date: Jun 1, 2017
    Syria 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 Myanmar
    Updated February 6, 2018 | Dataset date: Feb 1, 2012-Jul 23, 2015
    Settlements in Myanmar. Town and village
  • OCHA Myanmar
    Updated February 6, 2018 | Dataset date: Nov 29, 2014
    Administrative boundary, admin level 1 = state and region , admin level 2 = district and admin level 3 = township. The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 10 January 2018, UNOSAT located 10,418 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 6.5 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 21 September 2017. 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 satellite-detected water extent as of 09 January 2018 over Soaneriana Ivongo district, Analanjirofo region, in Madagascar as detected by Radarsat-2. Limited standing waters can be observed in the area. These zones are mainly agricultural and/or swamps. These waters are the results of recent heavy rains following the cyclone AVA-18 which made landfall the 05 January 2018. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas, due to 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 water extent as of 07 January 2018 over Toamasina districts, Atsinanana Region, in Madagascar as detected by Sentinel-1. Some standing water areas could be observed north and south of Toamasina, mainly in the agricultural and/or open areas along the river. It is likely that floodwaters 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 water extent as of 07 January 2018 over Mananjary district, Vatovavy-Fitovinany region, in Madagascar as detected by Sentinel-1. ~ 1000 ha of land over the communes of Tsiatosika and ~1300 ha in Ankatafana seem to be inundated. These zones are mainly agricultural and/or swamps. These waters are the results of recent heavy rains following the cyclone AVA-18 which made landfall the 05 January 2018. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas, due to 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 water extent as of 07 January 2018 over Vohipeno & Manakara Atsimo districs, Vatovavy Fitovinary Region, in Madagascar as detected by Sentinel-1. As of 07 January 2018. Several communes of these districts seem to be affected by inundations due to to the heavy rains that have followed the cyclone AVA-18. ~1,000 ha of lands appear to be likely affected in Vohitrindry, ~ 800 ha in Lanovo and ~400 ha in Vohilany communes. 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.
  • OCHA ROAP
    Updated January 12, 2018 | Dataset date: Nov 1, 2017
    These are shapefiles for the Province and Prefecture capitals as points.
  • 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
    • 200+ Downloads
    • This dataset updates: Every year
  • OCHA ROAP
    Updated January 11, 2018 | Dataset date: Jan 1, 2018
    These are zipped shapefiles for the Admin levels 0, 1, 2 of China.
  • This map illustrates satellite-detected structures in the area of the Doro settlement in South Sudan. Using a satellite image collected by the Pleiades satellite on 11 November 2017, UNOSAT located 12,754 structures. Of these, 437 were administrative structures, 652 were improvised shelters, 228 were semi-permanent structures and 11,437 were tent shelters. Doro is located in the north of the country, in Eastern Nile State about 30 km from the border with Sudan. The population in November 2017 was about 58,000 people. 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 structures in the area of the Yusuf Batil settlement in South Sudan. Using a satellite image collected by the Pleiades satellite on 31 October 2017, UNOSAT located 15,970 structures. Of these, 209 were administrative structures, 5,012 were improvised shelters, 70 were semi-permanent structures, and 10,679 were tent shelters. This settlement is located the northern part of the country, in Eastern Nile State, about 40km from the border with Sudan. The population in November 2017 was about 43,000. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent in Ho Chi Minh City area and surroundings, as observed from the Radarsat-2 SAR image acquired on 18 December 2017. In the analysed area (~3000 km2) about 5,400 ha of lands, mainly agricultural and paddy fields are likely flooded. In addition, using WorldPop data, we can estimate that ~220,000 people are living within 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 damage to infrastructure and roads in a portion of the city of Deir Ez Zor, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Deir Ez Zor in 2017. Using satellite imagery acquired 9 November 2017, UNITAR - UNOSAT identified 6 destroyed bridges, 54 damaged road segments and 93 visible impact craters affecting roads. Approximately 169 structures corresponding to educational facilities, and 21 structures likely related to health facilities are also affected. UNOSAT analysis shows that there are 3 destroyed electricity towers south of the city. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like towers. 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 damage to infrastructure and roads in the city of Ar Raqqa, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Ar Raqqa in 2017. Using satellite imagery acquired 21 October 2017, UNITAR - UNOSAT identified 5 destroyed bridges, 74 damaged road segments and 94 visible impact craters affecting roads. Approximately 159 structures corresponding to educational facilities, and 26 structures likely related to health facilities are also affected. UNOSAT analysis shows that 8 water towers are completely destroyed and there is damage to one electric substation and a sewage treatment facility. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like water towers. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • OCHA ROWCA
    Updated January 3, 2018 | Dataset date: Dec 27, 2017
    Admin Level 1 Boundaries (Concelhos), level 2 boundaries (Freguesias) level 3 boundaries and big islands of Cabo Verde
  • OCHA ROSA
    Updated December 30, 2017 | Dataset date: Dec 1, 2017
    Madagascar Administrative Boundary Shapefiles (Level 1-4) updated in December 2017 by UN OCHA ROSA, with metadata (Regions, Districts, Communes and Fokontany Boundaries).
  • OCHA ROWCA
    Updated December 28, 2017 | Dataset date: Dec 28, 2017
    Settlements with administrative Class (eg: 1=Country capital, 2=Concelhos capital…) The dataset represents the settlements of Cabo Verde with harmonized pcodes
  • OCHA Liberia
    Updated December 27, 2017 | Dataset date: Dec 27, 2017
    LBR County : polygon dataset that shows all 15 districts (admin level 1) for LIberia, each identified by an unique P-code. The dataset was provided by UNMIL in 2011 and a new pcode structure was created using the ISO-3 System. OCHA pcodes have been also added. LBR_Disctrict.zip: polygon dataset that shows all 136 districts (admin level 2) for LIberia, each identified by an unique P-code. The dataset was provided by UNMIL in 2011 and a new pcode structure was created using the ISO-3 System. OCHA pcodes have been also added.
  • OCHA Liberia
    Updated December 27, 2017 | Dataset date: Dec 27, 2017
    Liberia Settlements UNDP provided two main sets of data to OCHA in January 2007: government-derived shape files and a personal geodatabase of base map data from UNMIL. These data are part of the government-derived shape files provided by UNDP in January 2007. Updated by OCHA ROWCA in december 2017