Updated November 21, 2018
| Dataset date: Aug 4, 2018-Nov 20, 2018
This Ebola epidemic dataset contains figures on the Ebola cases, deaths and cures in the North Kivu Ebola outbreak of August 2018 in the Democratic Republic of the Congo (DRC).
The data in the dataset is manually extracted from the Ebola epidemic situation reports issued by the DRC Ministry of Health.
Updated September 2, 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
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.
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.
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:
(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.
Updated November 22, 2018
| Dataset date: Nov 22, 2018
This dataset contains key figures (topline numbers) on the world's pressing humanitarian crisis. The data includes key figures such as the number of affected population and funding status. The data is curated by ReliefWeb's editorial team based on their relevance to the humanitarian community.
Latest figures are updated regularly to provide most recent coverage. Historical figures provide a timeline of data over extended periods.
Descriptions of the files and columns within the files are included in the Additional Metadata.xlsx file.
Kenya administrative level 0 (country), 1 (county), and 2 (sub-county) boundary polygon and line shapefiles, KMZ files, geodatabase, live services, and gazeteer
Updated November 2017 by Field Information and Coordination Support Section (FICSS), Division of Programme Support and Management (DPSM), UNHCR
This dataset provides numbers of suspected cholera cases, deaths, case fatality rates (%) and attack rates (per 1,000) by Governorate in the Yemen cholera outbreak since 27 April 2017.
The data are manually extracted from the Yemen cholera outbreak epidemiology updates produced by WHO Yemen. The updates are posted on the Yemen Situation Reports page on the WHO Regional Office for the Eastern Mediterranean site. This dataset contains data from the daily and weekly updates up to the weekly report published on 7 July 2018.
On behalf of the Global WASH Cluster, with funding provided by USAID and ECHO (September-December 2017) and UNICEF (January 2018 onwards), REACH initiated a rapid infrastructure mapping exercise in Rohingya refugee settlements in Cox's Bazar District. This data collection exercise is now concluded, with Round 9 the final round.
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.
Updated October 26, 2018
| Dataset date: Nov 1, 2015
Administrative boundary datasets for levels 0, 1 and 2 (international, governorate, and district) for Yemen approved for use by OCHA Yemen Country Office in November 2015.
Admin Level 1= Governorate = Mohafaza
Admin Level 2 = District = Modeeriyyah
PCODES are those used by Yemen Central Statistical Office. "YE" is added as a prefix for the codes.
The process of clearing Admin 3 (sub-district) has not been finished and this level is not included. Additionally, the other layers (0, 1, and 2) may undergo minor modification in the coming months.
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 12 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and needs during the months of August, September and October 2018.
The data collection for NPM baseline survey was conducted between 9 August and 4 September 2018: it provides an update about the population distribution and movements.
The data collection for NPM Site Assessment survey was conducted between 23 September and 10 October 2018: in addition to an update about the population figures, this includes a multi-sectoral needs assessment.
The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 12 are available at the links below:
Please click here to access the data by camp as of September/October 2018.
Please click here to access the data by camp as of August 2018.
Rohingya refugee population distribution by para in Teknaf upazila.
- Please click here.
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.
Ukraine administrative level 0 (country), 2 (raion), 3 (council and community), and 4 (settlement) boundary polygons, lines, and representative points, in geodatabase, shapefile, and live service formats, and tabular data in .xlsx format. The data is in geographic coordinate system WGS84