Data [2140]
  • Updated 31 July 2021 | Dataset date: July 08, 2020-August 01, 2021
    Contains data crowdsourced monthly from Venezuelans through the Premise Data mobile application. The data tracks transport accessibility and mobility indicators at a monthly granularity. More relevant information below: The booklet included HERE goes into more details on how Premise's crowdsourcing works.
    200+ Downloads
    This dataset updates: Every day
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','station') Features may have these attributes: railway addr:full source layer operator:type addr:city ele name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every day
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: amenity building addr:full source operator:type addr:city port name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every day
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: building addr:full emergency:helipad source capacity:persons operator:type addr:city emergency aeroway name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every day
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: smoothness source width lanes highway layer oneway surface bridge name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every day
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    This dataset updates: Never
  • Updated Live | Dataset date: January 01, 2008-August 01, 2021
    List of airports in Iraq, with latitude and longitude. Unverified community data from http://ourairports.com/countries/IQ/
    100+ Downloads
    This dataset updates: Live
  • Updated 1 July 2021 | Dataset date: June 20, 2017-June 20, 2017
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
    80+ Downloads
    This dataset updates: As needed
  • Updated 1 July 2021 | Dataset date: June 16, 2017-June 16, 2017
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
    80+ Downloads
    This dataset updates: As needed
  • Updated 28 June 2021 | Dataset date: January 31, 2015-December 31, 2017
    This dataset contains the major roads network that connect all key locations in Iraq revisited by WFP Logistics Cluster during the period from 2015 - 2017
    10+ Downloads
    This dataset updates: As needed
  • Updated 15 June 2021 | Dataset date: May 08, 2018-August 01, 2021
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways).
    10+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: January 01, 2008-August 01, 2021
    List of airports in the Cocos (Keeling) Islands, with latitude and longitude. Unverified community data from ourairports.com.
    This dataset updates: Live
  • Updated Live | Dataset date: January 01, 2008-August 01, 2021
    List of airports in the United States Minor Outlying Islands, with latitude and longitude. Unverified community data from ourairports.com.
    This dataset updates: Live
  • Updated Live | Dataset date: January 01, 2008-August 01, 2021
    List of airports in Nigeria, with latitude and longitude. Unverified community data from http://ourairports.com/countries/NG/
    200+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: January 01, 2008-August 01, 2021
    List of airports in Mali, with latitude and longitude. Unverified community data from http://ourairports.com/countries/ML/
    80+ Downloads
    This dataset updates: Live
  • Updated 28 May 2021 | Dataset date: September 01, 2019-November 30, 2019
    The multi-sector assessment was carried out in the governorates of Baalbek-Hermel, Bekaa, North and Akkar to calculate the degree of Protection Risk through the elaboration of a set of composite indexes which form an Integrated Protection System of Indicators. The assessment covers 689 Informal Tent Settlements. A total of 4000 men and women participated in the questionnaires.
    This data is by request only
  • UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. Usually the surveys that form the basis of the assessment are conducted soon after the distribution of relief items is completed. Four PDMs on Non-Food Items (NFI) have been conducted since 2018. One in March 2018 covering the period from the beginning of the refugee influx in August/September 2017, and the second one in August 2018 covering distributions made during the monsoon season that year. A third PDM exercise covered the period from September 2018 up to March 2019. And a fourth one in November 2019 covered the period from April to November 2019. The current PDM survey and recommendations cover the period from November 2019 up to July 2020. This PDM exercise was initially planned in April 2020, however, it was delayed due to the lockdown imposed at the beginning of COVID-19 pandemic. A total of 1,166 households that had received NFIs from UNHCR took part in this PDM exercise. The findings from this report will be used in improving further upcoming distributions in 2020 and take into consideration lessons learned from COVID-19's impact on the distribution process. This fifth PDM survey and exercise covers the distribution of six types of NFI assistance provided through UNHCR and its partners in 2020. It includes Liquefied Petroleum Gas (LPG)5, Core Relief Item kits (CRI)6, WASH Hygiene kits7, Compressed Rice Husks (CRH)8 and shelter repair and replacement assistance9
    This dataset updates: Never
  • Export of the border area between the Democratic Republic of Congo (DRC) and Rwanda where volcano Nyiragongo is located. This export was created in the context of the May 2021 eruption. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: railway addr:full source layer operator:type addr:city ele name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    50+ Downloads
    This dataset updates: Every week
  • Export of the border area between the Democratic Republic of Congo (DRC) and Rwanda where volcano Nyiragongo is located. This export was created in the context of the May 2021 eruption. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: amenity building addr:full source operator:type addr:city port name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    10+ Downloads
    This dataset updates: Every week