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  • Updated June 3, 2020 | Dataset date: April 28, 2020-April 28, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Meawo Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 21 and 27 April 2020 as post event images, Within the island boundary, UNITAR-UNOSAT identified in the cloud free zones about 20 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 2% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 29, 2020-April 29, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in West Santo and South Santo Municipality, Sanma Province, Vanuatu as detected using WorldView-2 satellite images acquired on 17 and 19 April 2020 and a Pleiades satellite image acquired on 27 April 2020. Within the analyzed zone, UNITAR-UNOSAT identified in the cloud-free zones about 3,650 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 63 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 27, 2020-April 27, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Ambae Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a WorldView-2 image acquired on 20 April 2020 and Pleiades image acquired on 21 April 2020 as post event images, Within the Island extent, UNITAR-UNOSAT identified in the cloud free zones about 60 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 1% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 24, 2020-April 24, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Paama Island, Malampa Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 21 April 2020 as post event images, Within the island boundary, UNITAR-UNOSAT identified in the cloud free zones about 100 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 30% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 16, 2020-April 16, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in south of Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis identified about 5,200 potentially damaged structures in the analysis extent across the south of Sanma province within the cloud free areas. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 33% of the total number of structures/buildings within the analyzed cloud free areas. Please note that some areas could not be analyzed due to the cloud cover. Total and final estimates by municipality are summarized in the table below. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 10, 2020-April 10, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Malampa Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7, 8 and 9 April 2020 as post event images. Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 25 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents less than 1 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 10, 2020-April 10, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Canal-Fanafo, Luganville and South East Santo Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7, 8 and 9 April 2020 as post event images, Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 3,490 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 10, 2020-April 10, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in West Malo and East Malo Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7 and 10 April 2020 as post event images, Within the Island extent, UNITAR-UNOSAT identified in the cloud free zones 1,345 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 45 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: April 09, 2020-April 09, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Luganville Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7 April 2020 as post event image. Within the Luganville Municipality boundary, UNITAR-UNOSAT identified in the cloud free zones 1,972 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 100+ Downloads
    Updated May 30, 2020 | Dataset date: January 01, 2009-December 31, 2019
    This dataset updates: Every year
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • 70+ Downloads
    Updated April 29, 2020 | Dataset date: January 01, 1990-December 31, 2017
    This dataset updates: Every year
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
  • 200+ Downloads
    Updated April 6, 2020 | Dataset date: November 09, 2017-November 09, 2017
    This dataset updates: Every year
    These .CSV population statistics tables are suitable database or GIS links to the Vanuatu administrative level 0, 1, and 2 boundaries polygon shapefiles and geodatabase layers. REFERENCE YEAR: 2016
  • Updated Live | Dataset date: November 16, 2015-December 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Vanuatu. Source: http://ngoaidmap.org/location/gn_2134431
  • 10+ Downloads
    Updated Live | Dataset date: January 01, 2008-December 31, 2027
    This dataset updates: Live
    List of airports in Vanuatu, with latitude and longitude. Unverified community data from http://ourairports.com/countries/VU/
  • 1900+ Downloads
    Updated September 12, 2019 | Dataset date: September 12, 2018-September 12, 2018
    This dataset updates: Every year
    Vanuatu administrative level 0 (country), 1 (province), and 2 (area council) boundary polygon, line, and point shapefiles, KMZ files, geodatabase, and live services, and gazetteer. REFERENCE YEAR: 2018 Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These shapefile and geodatabase layers are suitable for database or GIS joins to the Vanuatu administrative level 0, 1, and 2 population statistics and gazetteer .CSV population statistics tables.
  • 50+ Downloads
    Updated August 7, 2019 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This dataset includes any criminally motivated events in which aid agency or aid worker property was stolen, destroyed or otherwise misappropriated in 2018. Categorised by date, country, crime sub-type.
  • 800+ Downloads
    Updated June 21, 2019 | Dataset date: June 19, 2019-June 19, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Vanuatu: (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).
  • 100+ Downloads
    Updated September 28, 2018 | Dataset date: January 01, 1950-December 31, 2050
    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.
  • 300+ Downloads
    Updated November 25, 2015 | Dataset date: August 17, 2015-September 04, 2015
    This dataset updates: Never
    Following the completion of shelter activities outlined in the Humanitarian Action Plan (HAP) and the beginning of the transition from the emergency phase to longer term preparedness / recovery programming, the Shelter Cluster redeployed the baseline assessment team in August 2015 in order to conduct a detailed evaluation of the shelter response. The overall objective of the evaluation was to inform 1) an evaluation of the effectiveness of the shelter operational response detailed in the humanitarian action plan (2) identify barriers to recovery.
  • 300+ Downloads
    Updated November 25, 2015 | Dataset date: July 23, 2015-July 23, 2015
    This dataset updates: Never
    Information on the private sector cash and in-kind contributions to humanitarian relief efforts following cyclone Pam in Vanuatu.
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: April 07, 2015-May 01, 2015
    This dataset updates: Never
    Category Five Tropical Cyclone Pam made landfall in Vanuatu on March 13th 2015, resulting in storm surges and sustained winds of up to 240 km per hour throughout the affected area of the country. REACH, through its global partnership with the Global Shelter Cluster, was deployed to Vanuatu at the end of March 2015 to facilitate the implementation of a shelter and settlements vulnerability assessment designed to inform the medium to long term strategy of the Vanuatu Shelter Cluster. Data collection was conducted between 7 April and 1 May, 2015.
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: June 18, 2015-June 18, 2015
    This dataset updates: Never
    update 18th of June 2015
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: June 09, 2015-June 09, 2015
    This dataset updates: Never
    update 9.06.2015
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: June 01, 2015-June 01, 2015
    This dataset updates: Never
    update 1.06.2015
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: May 29, 2015-May 29, 2015
    This dataset updates: Never
    Update 29/5/2015