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  • 300+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    This dataset updates: Every three months
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
  • 20+ Downloads
    Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 1 April 2021
    Dataset Added on HDX [?]: 1 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: Global Earthquake Model Foundation - Level 1 Exposure Data
    This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards
  • 200+ Downloads
    Time Period of the Dataset [?]: October 31, 2020-October 31, 2020 ... More
    Modified [?]: 30 October 2020
    Dataset Added on HDX [?]: 3 March 2020
    This dataset updates: Every six months
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 12 September 2020
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
    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
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 23 November 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
    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
  • 900+ Downloads
    Time Period of the Dataset [?]: May 19, 2019-May 19, 2019 ... More
    Modified [?]: 4 March 2020
    Dataset Added on HDX [?]: 18 April 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Comoros: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 November 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: United Nations Economic Commission for Africa - Education indicators
    This dataset contains many indicators in education such as as Net enrolment rate in primary education, Ratio of girls to boys in primary education, etc. The whole list and their description can be find in this link https://bit.ly/2NWP6Z1
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 November 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: United Nations Economic Commission for Africa - Health indicators
    This dataset contains many health indicators such as Infant mortality rate, Proportion of population with advanced HIV infection with access to antiretroviral drugs, Death rate associated with malaria per 100,000 population, Tuberculosis prevalence rate per 100,000 population, etc. The whole list and their description can be find in this link https://bit.ly/2NZBRH3
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 November 2018
    This dataset updates: Every year
    This dataset contains many indicators related to population and migration such as Average annual population growth rate, Population 15-19 , Annual rate of change of the migrant stock, International migrant stock at mid-year, etc. The whole list and their description can be find in this link https://bit.ly/2ODhFQh
  • Time Period of the Dataset [?]: January 01, 2008-March 28, 2024 ... More
    Modified [?]: 7 November 2019
    Dataset Added on HDX [?]: 2 June 2014
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
    List of airports in Comoros, with latitude and longitude. Unverified community data from http://ourairports.com/countries/KM/
  • 80+ Downloads
    Time Period of the Dataset [?]: July 01, 2019-July 01, 2019 ... More
    Modified [?]: 17 July 2019
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Never
    This data is complied from SADC members who presented there results during the July 2019 Dissemination workshop held in Namibia. The data is on stunting rate for the last few years.
  • 60+ Downloads
    Time Period of the Dataset [?]: April 01, 2019-April 01, 2019 ... More
    Modified [?]: 17 July 2019
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Never
    This data is complied from SADC members who presented there results during the July 2019 Dissemination workshop held in Namibia. The Data has production and cereal balances in Metric Tonnes as of July 2019.
  • 100+ Downloads
    Time Period of the Dataset [?]: April 01, 2019-April 01, 2019 ... More
    Modified [?]: 17 July 2019
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Never
    This data is complied from SADC members who presented there results during the July 2019 Dissemination workshop held in Namibia. The Data has the Food Insecure Populations in SADC Member States, in the period April 2019 - March 2020.
  • 600+ Downloads
    Time Period of the Dataset [?]: February 05, 2018-February 05, 2018 ... More
    Modified [?]: 16 March 2019
    Dataset Added on HDX [?]: 12 October 2016
    This dataset updates: Never
    The AFDB Statistical Data Portal has been developed in response to the increasing demand for statistical data and indicators relating to African Countries. The Portal provides multiple customized tools to gather indicators, analyze them, and export them into multiple formats. With the Data Portal, you can visualize Socio-Economic indicators over a period of time, gain access to presentation-ready graphics and perform comprehensive analysis on a Country and Regional level
  • 400+ Downloads
    Time Period of the Dataset [?]: October 11, 2018-October 11, 2018 ... More
    Modified [?]: 16 March 2019
    Dataset Added on HDX [?]: 8 November 2016
    This dataset updates: Never
    African Economic Outlook, 1993-2050
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
    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
  • 90+ Downloads
    Time Period of the Dataset [?]: October 01, 2018-October 01, 2018 ... More
    Modified [?]: 17 October 2018
    Dataset Added on HDX [?]: 17 October 2018
    This dataset updates: Never
    Estimated population data based on the latest United Nations Population Division estimates and http://www.worldometers.info/world-population/population-by-country/
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More
    Modified [?]: 28 September 2018
    Dataset Added on HDX [?]: 28 September 2018
    This dataset updates: Every year
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 01, 2017-July 01, 2017 ... More
    Modified [?]: 26 September 2018
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Never
    Population in SADC-Midyear ("000), for the years 2005- 2017
  • 40+ Downloads
    Time Period of the Dataset [?]: September 30, 2018-September 30, 2018 ... More
    Modified [?]: 26 September 2018
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Never
    This data is complied from SADC members who presented there results during the July 2018 Dissemination workshop held in Lesotho. The data is about the total tubers and roots production in the region.
  • 50+ Downloads
    Time Period of the Dataset [?]: August 31, 2018-August 31, 2018 ... More
    Modified [?]: 26 September 2018
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Never
    SADC Member States estimates were available on the total amounts of available fisheries as at 2016
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2017 ... More
    Modified [?]: 5 May 2017
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Births
    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). 2017. Comoros 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/WP00365
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2017 ... More
    Modified [?]: 5 May 2017
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Pregnancies
    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). 2017. Comoros 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/WP00473