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  • OCHA FTS
    Updated September 19, 2018 | Dataset date: Sep 19, 2018
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    • CSV
    • 1600+ Downloads
    • 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: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Probability of dying between birth and exact age 5. It is expressed as average annual deaths per 1,000 births.
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] The average number of years of life expected by a hypothetical cohort of individuals who would be subject during all their lives to the mortality rates of a given period.
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Number of deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years.
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2010
    [Source: United Nations Department of Economic and Social Affairs] Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.
    • XLSX
    • CSV
    • TXT
    • 600+ Downloads
    • This dataset updates: Every year
  • UNHCR - The UN Refugee Agency
    Updated August 29, 2018 | Dataset date: Jan 1, 1951-Dec 31, 2025
    Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.
    • CSV
    • This dataset updates: Live
  • This map illustrates the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018 and compared with a Radsarsat-2 image acquired on 10 July 2018. As of 10 July 2018, flooded areas and saturated soils were already visible, due to the heavy rains that happened previously to the collapse of the dam. As well, the reservoir controlled by the dam was full of water. As of 24 July 2018, an additional surface of 5,826 ha of inundated areas were detected, representing an increase of the surface waters of 66%, due to the collapse of the dam. At this date, the reservoir that was controlled by the dam has decreased in its size. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018. The previous day, the Xe-Namnoy dam collapsed, inducing flash floods along the Vang Ngao river and affecting several villages located 50 km downstream. Within the analysed area 14,692 ha of surface waters were detected after the heavy rains that happened on 22 July and as well the collapse of the dam. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • HDX
    Updated August 21, 2018 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • 40+ Downloads
    • This dataset updates: Every year
  • The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
    • CSV
    • This dataset updates: Live
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Jul 9, 2014
    Lao PDR district-level population statistics (2012) from Lao PDR National Statistics Bureau
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Sep 21, 2016
    This spatial dataset provides the Resilience Zones Laos. The original source of the data is World Food Program (WFP)
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Sep 21, 2016
    This spatial dataset provides the populated places in Laos. The original source of the data is Lao Statistics Bureau (LSB).
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Mar 26, 2016
    This spatial datasets provide the delimitation and composition of the Laos Administrative boundaries. The original source of the data is National Geographic Department, Lao PDR.
  • UNHCR - The UN Refugee Agency
    Updated August 9, 2018 | Dataset date: Jan 1, 1959-Dec 31, 2025
    This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.
    • CSV
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated August 9, 2018 | Dataset date: Jan 1, 1999-Dec 31, 2025
    Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
    • CSV
    • This dataset updates: Live
  • information about UNHCR's populations of concern for a given year and country of origin. Data is presented as a yearly time series across the page.
    • CSV
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated August 9, 2018 | Dataset date: Jan 1, 1951-Dec 31, 2025
    Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.
    • CSV
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated August 9, 2018 | Dataset date: Jan 1, 1959-Dec 31, 2025
    This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.
    • CSV
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated August 9, 2018 | Dataset date: Jan 1, 1999-Dec 31, 2025
    Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
    • CSV
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated August 9, 2018 | Dataset date: Jan 1, 2000-Dec 31, 2025
    Information about asylum applications in a given year and the progress of asylum-seekers through the refugee status determination process.
    • CSV
    • This dataset updates: Live