COD

The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners. It presents the number of people in need (PIN), the number of people in acute need (Acute PIN), the number of beneficiaries to be targeted for assitance, and the details of the activities under the 2022 HRP. The data sources and methodology for the derivation of the PIN and Acute PIN figures can be found in the Iraq 2022 HNO; the basis of the targets and further background and details of the HRP activities can be found in the Iraq 2022 HRP.

This data is about Philippines 2015 Census Population by barangay(admin4), sex and single age

Dataset contains Sudan baseline data -population,IDPs,Refugees,GAM,IPC- and the overall number of people in need(PIN ) and by sector down to admin 2 level.

Global Humanitarian Response Plan COVID-19 administrative level 1 boundaries, gazetteer and population tables for countries covered by the May update of the Global Humanitarian Response Plan COVID-19. 13 OCTOBER 2020 UPDATE: The Ethiopia - Subnational Administrative Boundaries dataset has been updated with changes at administrative level 1 and below. However, as the Ethiopia - Subnational Population Statistics dataset has not been updated and no longer matches, this global dataset has not yet been updated. 30 SEPTEMBER 2020 UPDATE: The dataset has been updated to reflect official Brazil P-codes. Users should note that the Brazil P-codes in earlier versions no longer correspond to the current CODs. 17 SEPTEMBER 2020 UPDATE: The dataset has been updated to reflect the new (2020) Paraguay COD-PS projections and the adjusted Paraguay P-codes. Users should note that the Paraguay P-codes in earlier versions no longer correspond to the current CODs. 26 AUGUST 2020 UPDATE: administrative level 1 total population statistics have been added for the following 11 countries: Benin , Djibouti, Liberia, Pakistan, Panama, Philippines, Paraguay, Sierra Leone, Togo, Uruguay, Zimbabwe. Population statistics are now available for 48 of the 63 countries or territories. Data fields: ADM1_PCODE: Administrative level 1 (various types) P-code ADM0_PCODE: Administrative level 0 (country or territory) P-code alpha_3: ISO 3166-1 Alpha 3 country or territory identifier ADM0_REF: Administrative level 0 (country or territory) reference name (Latin script without special characters) ADM1_REF: Administrative level 1 (various types) reference name (Latin script without special characters) Population: Most recent available total population. PLEASE SEE CAVEATS

This file contains 143 populated places in Dominica, with P-codes to administrative level 1. (This file replaces "dma_stle_stl_pt_s1_dominode_pp_V3.zip" uploaded 2017 09 20.) The file can be joined to the Dominica Population Statistics COD found on HDX.

188 major cities p-coded spatially to RDC - Administrative Boundaries (levels 0 - 2) administrative levels 0, 1, and 2.

Puerto Rico , Primary and Secondary Roads

This dataset is of simplified geometries from COD live services deployed June 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is.

Road network of Liberia This dataset represents roads network within Liberia. These data are part of the government-derived shape files provided by UNDP in January 2007. This dataset was derived from NIMA Vmap L1 and a survey by UNMIL Irish team, then anaylised and updated by UNMIL GIS Unit using Landsat imagery. New roads were digitized from the Landsat and non-existing roads were deleted from the source datasets. The attributes include category, names, description and assessment roads planning.

Railway network of Liberia This dataset was extracted by UNMIL GIS Unit from NIMA Vmap L1 railrd feature class. The attributes indicate the name, statut and description of the line.

Lakes of Liberia This dataset represents lakes in and around Liberia. The attributes include names of lakes and descriptions.

Airports/Airfieds of Liberia This dataset represents Airports/Airfieds within Liberia.

Floods damages assessment in Mauritania This table displays floods impacts in Mauritania in 2010.

The dataset represents public universities and some main schools in western Senegal.

Sri Lankan main road network Scale : 250k ArcGIS Projected Coordinate System : SLD-Kandawala.prj

Railway lines of Sri Lanka Sri Lankan railway network. Scale : 250k ArcGIS Projected Coordinate System : SLD-Kandawala.prj

This the transportation network of Thailand. This data comes from GISTA The Thai Space Agency.

This spatial dataset provides the delimitation of primary and secondary roads in DPR Korea. Road names in English are also included where known. Broken road segments were merged where appropriate.

This spatial dataset of settlements is a national dataset of 729 villages, towns and cities and suburbs across DPR Korea. The attribute information includes the location name (in English) and the associated province name. This dataset can be complemented by the OSM dataset. This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the World Food Programme. It is believed that the original source of the data is the Global Mapping initiative.

Democratic People's Republic of Korea railroads This data comes from the Global Mapping initiative, a project of the International Steering Committe for Global Mapping.

This data comes from the Global Mapping initiative, a project of the International Steering Committe for Global Mapping.

This spatial datasets provides the delimitation of primary, secondary and tertiary roads, motorways and tracks in Viet Nam.

This dataset represents the centreline of railroad tracks for Viet Nam.

The datasets were obtained from the Department of Geography of the Ministry of Land Management, Urbanization and Construction in 2008 and unofficially updated in 2014 according to sub-decrees on administrative modifications.

Cambodia population density from LandScan GIST Group, Oak Ridge National Laboratory