Updated August 16, 2018
| Dataset date: Jun 5, 2015
This dataset updates: Every year
These spatial datasets of settlements are national datasets of populated places across Bhutan.
The Global Discovery data includes the location name in English and associated dzonghag and gewog name and code. This can be complemented by the OSM dataset that includes additional settlements with location name in English, place type and the associated dzonghag and gewog name and code.
Updated August 16, 2018
| Dataset date: Feb 25, 2015
This dataset updates: Every year
This spatial dataset of health facilities is a national dataset of 705 facilities across Papua New Guinea. Edits were made to the original dataset to include provincial, district and LLG attribute information.
The original dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.
Updated August 16, 2018
| Dataset date: Feb 25, 2015
This dataset updates: Every year
This spatial dataset is a national dataset of watercourses for Papua New Guinea with no hydrological heirarchy. Edits were made to the original dataset to include provincial level attribute information. Watercourse name in English are included where known.
This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.
Updated August 16, 2018
| Dataset date: Feb 25, 2015
This dataset updates: Every year
This spatial dataset is a national dataset of education facilities across Papua New Guinea. Edits were made to the original dataset to include provincial, district and LLG attribute information.
The original dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.
Updated August 16, 2018
| Dataset date: Feb 24, 2015
This dataset updates: Every year
These spatial datasets provide the delimitation of primary, secondary and tertiary roads and tracks in Papua New Guinea.
The OSM dataset includes attribute information includes OSM id and road names in English where known and comprehensive track network for the mainland. This dataset can be complemented by the National Mapping Bureau (NMB) (2000) dataset.
The NMB dataset includes comprehensive road network in both mainland and non-mainland districts and road surface attributes.
Updated August 15, 2018
| Dataset date: Feb 17, 2015
This dataset updates: Every year
This spatial dataset of settlements is a national dataset of 643 villages, towns and cities and suburbs across DPR Korea. The attribute information includes the location name (in local Korean script concatenated with the English translation), OSM id, and the associated province and county administrative name and code. This dataset is also referred to as the village or population point dataset and can be complemented by the WFP dataset.
Updated August 15, 2018
| Dataset date: Dec 5, 2016
This dataset updates: Every year
This spatial dataset provides point data of Helipads and Airports by Upazilla (4th Admin level). The original source of the data is Local Government Engineering Department (LGED). Dataset/Metadata updated by WFP, Map Action and OCHA.
Updated August 15, 2018
| Dataset date: Sep 28, 2014
This dataset updates: Every year
This spatial dataset provides line data of Bangladesh Railroads. The original source of the data is Local Government Engineering Department (LGED). Dataset/Metadata updated by WFP, Map Action and OCHA.
Updated August 15, 2018
| Dataset date: Sep 28, 2014
This dataset updates: As needed
This spatial dataset provides line data of Bangladesh Roads. The original source of the data is Local Government Engineering Department (LGED). Attributes includes Condition, length, crest width, LGED code, type (Union, Village Road A, B, Upazila Road, katcha, pucca and etc) and Road name. Dataset/Metadata updated by WFP, Map Action and OCHA.
Updated August 15, 2018
| Dataset date: Oct 25, 2005
This dataset updates: Every year
Bangladesh: Elevation
The elevation of Bangladesh depicted using polygons of equal elevation. The shapefile was downloaded from the following SWERA (Solar and Wind Energy Resource Assessment) website. The data was then reprojected into GCS_WGS_1984 by GIST.
Updated August 15, 2018
| Dataset date: Mar 8, 2017
This dataset updates: As needed
This spatial dataset provides location data for Health facilities data of Bangladesh. The original source of the data is Local Government Engineering Department (LGED) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
