Democratic People's Republic of Korea

Key Figures
  • Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 20 November 2020
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
    400+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 16 September 2020
    Dataset Added on HDX [?]: 20 July 2017
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
    40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
  • Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More
    Modified [?]: 4 September 2020
    Dataset Added on HDX [?]: 26 May 2020
    The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.
    400+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 22 July 2020
    This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed
    100+ Downloads
    This dataset updates: Every two weeks
  • Time Period of the Dataset [?]: January 01, 1990-December 31, 1990 ... More
    Modified [?]: 28 August 2020
    Dataset Added on HDX [?]: 19 November 2019
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.
    80+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Poverty
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 24 November 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
    20+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
  • Time Period of the Dataset [?]: January 01, 2008-March 28, 2024 ... More
    Modified [?]: 25 May 2020
    Dataset Added on HDX [?]: 28 April 2014
    List of airports in North Korea, with latitude and longitude. Unverified community data from http://ourairports.com/countries/KP/
    10+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
  • Time Period of the Dataset [?]: February 10, 2020-February 10, 2020 ... More
    Modified [?]: 16 March 2020
    Dataset Added on HDX [?]: 16 March 2020
    This dataset contains the affected populations, people in need and targeted populations by sector and disaggregated by sex and age. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
    80+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: Humanitarian Needs Overview
  • Time Period of the Dataset [?]: December 31, 2018-December 31, 2018 ... More
    Modified [?]: 14 March 2019
    Dataset Added on HDX [?]: 17 November 2016
    This shape file consists of consolidated history of tropical storm paths over the past 50 years in the West Pacific, South Pacific, South Indian and North Indian basin. Attributes provides details such as storm Name, Date, Time, wind speed and GPS points for each advisory point. Wind speeds are in knots for more details on speeds conversion and storm categories please visit the original source of data: UNISYS (http://weather.unisys.com/hurricane/index.php), NOAA (http://rammb.cira.colostate.edu/products/tc_realtime/index.asp)
    700+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
  • Time Period of the Dataset [?]: February 10, 2015-February 10, 2015 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    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.
    COD 60+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
  • Time Period of the Dataset [?]: February 10, 2015-February 10, 2015 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This spatial dataset provides the delimitation of major river bodies and river banks in DPR Korea. Waterbody names in English are also included where known.
    COD 40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Hydrology
  • Time Period of the Dataset [?]: February 01, 2015-February 01, 2015 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This spatial dataset provides the delimitation of major rivers and water courses in DPRK that are attributed with a hydrological description. Watercourse name in English are also included where known.
    COD 80+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Hydrology
  • Time Period of the Dataset [?]: January 01, 2013-January 01, 2013 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    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.
    COD 40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
  • Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    Democratic People's Republic of Korea: Elevation This data comes from the Global Mapping initiative, a project of the International Steering Committe for Global Mapping.
    COD 40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Elevation
  • Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    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.
    COD 50+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
  • Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This data comes from the Global Mapping initiative, a project of the International Steering Committe for Global Mapping.
    COD 40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
  • Time Period of the Dataset [?]: February 17, 2015-February 17, 2015 ... More
    Modified [?]: 15 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    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.
    COD 40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
  • Time Period of the Dataset [?]: January 31, 2000-December 31, 2015 ... More
    Modified [?]: 9 July 2018
    Dataset Added on HDX [?]: 10 November 2016
    Green area per capita is calculated from Green area per million people and city population data source from OECD.
    2900+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2018 ... More
    Modified [?]: 5 May 2018
    Dataset Added on HDX [?]: 27 May 2019
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Democratic Peoples Republic of Korea 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00603
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Pregnancies
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2018 ... More
    Modified [?]: 5 May 2018
    Dataset Added on HDX [?]: 27 May 2019
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Democratic Peoples Republic of Korea 1km Births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00552
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Births