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  • OCHA ROAP
    Updated August 17, 2017 | Dataset date: Aug 17, 2017
    These are boundaries for all administrative levels of Thailand.
  • 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
  • The dataset provides the estimated Rohingya refugee population statistics by location (lat/lon), settlement type in Cox's Bazar district, Bangladesh. The dataset is updated regularly. The source is the Needs and Population Monitoring (NPM) in Cox's Bazar.
    • XLS
    • 5500+ Downloads
    • This dataset updates: Every month
  • Adm3 shapefile (District-level): For 31 districts affected by Nepal Earthquake 2015 Adm4 shapefile (VDC-level): For 31 districts affected by Nepal Earthquake 2015
  • HDX
    Updated March 28, 2016 | Dataset date: Aug 29, 2014-Mar 23, 2016
    Total number of probable, confirmed and suspected Ebola cases and deaths in Guinea, Liberia, Sierra Leone, Nigeria, Senegal, Mali, Spain USA, UK and Italy according to Ebola Data and Statistics. The resources contain two references to Liberia: Liberia and Liberia 2. Liberia contain reported before May 9, 2015. Liberia 2 refers to cases reported after May 9, 2015. The resources contain two references to Guinea: Guinea and Guinea 2. Guinea contain reported before May 9, 2015. Guinea 2 refers to cases reported after March 23, 2016.
    • XLS
    • XLSX
    • CSV
    • 3400+ Downloads
    • This dataset updates: Never
  • This is the full Administrative dataset for Bangladesh. It includes administrative level 0 (nation), 1 (division), 2 (district), 3 (upazila), and 4 (union) polygons and lines. All units have two PCODES. For each administrative level 'X', the 'admXcode_old' is the original 'GEOCODE11' PCODE and the one most commonly used in country. The GEOCODE15 incorporates Mymensingh Division which was created in 2015. Also note that administrative level 4 (union) is available in two versions. One includes inland water areas, the other includes only land areas.
  • HDX
    Updated November 24, 2015 | Dataset date: Dec 31, 2011
    Demography census data (2011) by district. For more information please refer to the United Nations Nepal Information portal. The district profiles are contained in a ZIP file with one file per district. Data is available for the following districts: Achham, Arghakhanchi, Baglung, Baitadi, Bajhang, Bajura, Banke, Bara, Bardiya, Bhaktapur, Bhojpur, Chitwan, Dadeldhura, Dailekh, Dang, Darchula, Dhading, Dhankuta, Dhanusha, Dolakha, Dolpa, Doti, Gorkha, Gulmi, Humla, Illam, Jajarkot, Jhapa, Jumla, Kailali, Kalikot, Kanchanpur, Kapilbastu, Kaski, Kathmandu, Kavre, Khotang, Lalitpur, Lamjung, Mahottari, Makawanpur, Manang, Morang, Mugu, Mustang, Myagdi, Nawalparasi, Nuwakot, Okhaldhunga, Palpa, Panchthar, Parbat, Parsa, Pyuthan, Ramechhap, Rasuwa, Rautahat, Rolpa, Rukum, Rupandehi, Salyan, Sankhuwasabha, Saptari, Sarlahi, Sindhuli, Sindhupalchowk, Siraha, Solukhumbu, Sunsari, Surkhet, Syangja, Taplejung, Tehrathum, Udayapur.
    • ZIP
    • XLSX
    • XLS
    • 3600+ Downloads
    • This dataset updates: Never
  • Alhasan Systems Private Limited is proudly sharing with you Pakistan's complete Union Council Boundaries on the 70th Independence Day of Pakistan. This data will remain the only public version of UCs boundaries for all Pakistan citizens and organization both public and private and researchers around the world until a more authentic version become available from the concerned institution. Dear GIS/ IM professionals. This UC boundary is compiled from data mining of public sources, and you are encouraged to use it in your projects. We request you to bring enhancement to this dataset and make them public on HDX as a newer version for the larger benefit.
  • Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. These datasets present the result of the NPM Round 10 Baseline and Site Assessment exercises, which collected information related to the Rohingya population distribution and needs during the months of April and May 2018. The data collection for NPM baseline survey was conducted between 1 and 17 April 2018: this provides an update about the population distribution and movements; The data collection for NPM Site Assessment survey was conducted between 1 and 20 May 2018: in addition to an update about the population figures, this includeds a multi-sectoral needs assessment. The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 10 are available at the links below: Please click here to access the data by camp as of May 2018. Please click here to access the data by camp as of April 2018. Rohingya refugee population distribution by para in Teknaf upazila. Data collected during NPM Site Assessment 10 between 1 and 20 May 2018. Please click here.
    • XLSX
    • PDF
    • 700+ Downloads
    • This dataset updates: Every month
  • WFP - World Food Programme
    Updated June 21, 2018 | Dataset date: Dec 5, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 1700+ Downloads
    • This dataset updates: Every three months
  • Nigeria - LGA and Wards data for some of the states based on electoral registration points.
    • XLS
    • 700+ Downloads
    • This dataset updates: Never
  • Inter Sector Coordination Group
    Updated July 10, 2018 | Dataset date: Jul 3, 2018
    Consolidated 4W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
    • XLSX
    • XLS
    • 1900+ Downloads
    • This dataset updates: Every two weeks
  • This geodatabase contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.
  • Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. This dataset presents the result of the NPM Round 11 Baseline exercise, which collected information related to the Rohingya refugee population distribution and needs during the month of June 2018. The data collection for NPM baseline survey was conducted between 2 and 14 June 2018: it provides an update about the population distribution and movements.
    • PDF
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every month
  • 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.
  • NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. SW Map package: for mobile use, this enables users to visualize the site maps and boundaries on their own mobile. Together with the relevant files, users can also find a manual showing step by step how to copy files from their own computer to SW Map running on another portable device. KMZ file: for desktop use, this enables users to visualize the site maps and boundaries on Google Earth. By adding or removing layers, it is possible to visualize each location assessed by NPM Baseline 10. These files are available on HDX. Historical UAV imagery of Rohingya settlements in Cox Bazar in GIS, KML Google Earth, Mbtiles (SW Maps), format. Updates of imagery will be added on top of the list. NPM has also produced individual packages by camps: Please click here to access the data by camp as of June 2018. Please click here to access the data by camp as of May 2018. Please click here to access the data by camp as of April 2018. All majhee blocks shapefiles are also available at the following link: Please click here to access the most current majhee block shapefiles, as well as all historical versions.
  • OCHA DR Congo
    Updated July 10, 2018 | Dataset date: Jun 28, 2018
    Dans ce fichier, se trouve les organisations qui participent à la coordination humanitaire, leurs projets et certain détails importants.
    • XLSX
    • 50+ Downloads
    • This dataset updates: Every month
  • Kenya Open Data Initiative
    Updated July 21, 2017 | Dataset date: Dec 30, 2014
    Based on 2014 Kenya's HIV/AIDS profile data by County This assesses the HIV/AIDS situation in Kenya's 47 counties with regards to adults and children living with the disease, new infections, gender specific infection rates, homes with orphans and their financial situation.
    • CSV
    • 300+ Downloads
    • This dataset updates: Every year
  • The majhee block system represents an important aspect of communities within the Rohingya refugees settled in collective or camp-like settings in Cox's Bazar district. A majhee is a community leader belonging to the Rohingya refugee population, while a block is the area for which he is responsible. The NPM majhee blocks mapping exercise was first conducted during NPM Baseline 9, between 5 and 20 February 2018. As part of the majhee interview process (key informants), enumerators walked the perimeter of each majhee block with guidance from the KI. As they walked, the field team traced their path, marking up the boundary on the tablet or paper map. Upon returning to NPM office, details of these boundaries were finalized on the paper maps. The paper maps were then received by the NPM digitizing team. This team carefully digitized the Mahjee zone perimeters in GIS, using high-resolution NPM UAV imagery as an underlying reference. Boundaries were assigned the NPM Block_ID attribute, which represents a unique identifier for each Site Assessment Location. In this manner, boundaries can be uniquely linked back to a mahjee. The majhee blocks mapping exercise is now embedded in NPM regular assessment activities (baseline and site assessment), hence regularly updated with a frequency of approximately three weeks. The majhee block system is not an official form of governance. The scope of this exercise is purely descriptive and not prescriptive. Names and boundaries adopted in this exercise do not imply official endorsement or acceptance by IOM.
  • NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of June 2018 is based on NPM Baseline Assessment 11 (as of 14 June) and NPM most updated drone imagery (as of 21 June). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.
    • PDF
    • ZIP
    • 1600+ Downloads
    • This dataset updates: Every month
  • OCHA ROSEA
    Updated November 25, 2015 | Dataset date: Jan 1, 2012
    Polling station locations Abstract: This data comes from http://vote.iebc.or.ke Use the _sphericalmercator versions with TileMill, will be much faster. Otherwise, you're probably fine with the unprojected versions. There are simple endpoints for requesting json encoded data. download.py iterates, caches, and builds the output Instructions: Polling station location Shapefile can be downloaded from https://github.com/mikelmaron/kenya-election-data/tree/master/output
  • ReliefWeb
    Updated July 19, 2018 | Dataset date: Jul 19, 2018
    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
    • 1000+ Downloads
    • This dataset updates: Every week
  • Green area per capita is calculated from Green area per million people and city population data source from OECD.
    • XLSX
    • 600+ Downloads
    • This dataset updates: Never
  • 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 Iraq
    Updated May 14, 2018 | Dataset date: Jul 17, 2014
    Admin COD datasets for IRQ endorsed by IMWG and CO on October 2015; see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin Level 0 (International), Admin Level 1 (Governorate), Admin Level 2 (District).