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  • 10+ Downloads
    Updated 3 June 2020 | Dataset date: August 02, 2022-August 02, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: operator:type source name amenity addr:full building addr:city capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated 3 June 2020 | Dataset date: August 02, 2022-August 02, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name is_in place source population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated Live | Dataset date: January 01, 2008-August 10, 2022
    This dataset updates: Live
    List of airports in Fiji, with latitude and longitude. Unverified community data from http://ourairports.com/countries/FJ/
  • 1500+ Downloads
    Updated 21 June 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 Fiji: (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).
  • 900+ Downloads
    Updated 14 March 2019 | Dataset date: December 31, 2018-December 31, 2018
    This dataset updates: Every year
    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)
  • 200+ Downloads
    Updated 28 September 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.
  • 10+ Downloads
    Updated 22 March 2016 | Dataset date: March 10, 2016-March 10, 2016
    This dataset updates: Never
    Tropical Cyclone Winston-UNOSAT Damage Assessment Activities in Viti Levu Island.
  • 20+ Downloads
    Updated 22 March 2016 | Dataset date: March 09, 2016-March 09, 2016
    This dataset updates: Never
    Population exposure estimates based on expected cyclone track and sustained wind speeds of more than 90 Km/h and 120 Km/h ( 19 February 2016, Joint Typhoon Warning Center)
  • 20+ Downloads
    Updated 22 March 2016 | Dataset date: March 09, 2016-March 09, 2016
    This dataset updates: Never
    Population exposure estimates based on observed cyclone track and sustained wind speeds of more than 90 Km/h and 120 Km/h ( 22 February 2016, Joint Typhoon Warning Center)
  • Updated 8 March 2016 | Dataset date: March 03, 2016-March 03, 2016
    This dataset updates: Never
    This map illustrates damage structures over north and west of Ba town, in Ba Province in the north part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 26 February 2016, UNITAR-UNOSAT identified a total of 143 damaged structures within the extent of this map, 46 structures were identified to be destroyed, 51 were severely damaged, and 46 have suffered moderate damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 8 March 2016 | Dataset date: March 03, 2016-March 03, 2016
    This dataset updates: Never
    This map illustrates damage structures in the area of Sasa, east of Baba town, in Ba Province in the north part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 26 February 2016, UNITAR-UNOSAT identified a total of 352 damaged structures within the extent of this map, 153 structures were identified to be destroyed, 122 were severely damaged, and 77 have suffered moderate damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 8 March 2016 | Dataset date: March 02, 2016-March 02, 2016
    This dataset updates: Never
    This map illustrates the damage assessment in the city of Vatukoula and greater area in Ba Province in the northern part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 26 February 2016, UNITAR-UNOSAT identified a total of 299 damaged structures, 48 structures were identified to be destroyed, 71 were severely damaged, and 180 have suffered moderate damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 8 March 2016 | Dataset date: February 25, 2016-February 25, 2016
    This dataset updates: Never
    This map illustrates the damage assessment in the Lautoka city and greater area in Ba Province in the northwestern part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 22 February 2016, UNITAR-UNOSAT identified a total of 900 damaged structures, of which 433 were within the city limits. In the greater Lautoka area, 74 structures were identified to be destroyed, 152 were severely damaged, and 674 have suffered moderate damages. These damaged structures were compared with total number of buildings/structures ( ~17,500) in the region and the percentage of damaged buildings across the area was estimated to be about 5%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.  
  • Updated 8 March 2016 | Dataset date: February 22, 2016-February 22, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters in Savu area, Naitasiri Province situated in the south of Viti Levu Island (Fiji). Using satellite imagery collected by RADARSAT-2 on 21 February 2016 and 08 April 2015, UNOSAT identified ~ 1,100 hectares of land to be potentially affected by waters. Most of the affected areas are agricultural fields located along the banks of River Rewa. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 1900+ Downloads
    Updated 5 March 2016 | Dataset date: March 04, 2007-March 04, 2007
    This dataset updates: Never
    These are selected indicators from the 2007 Fijian Census. Some of the data is projected to 2015. These indicators were selected to identify potentially vulnerable households. Original dataset and more information can be found in the Fiji Bureau of Statistics website: http://fiji.popgis.spc.int/
  • 100+ Downloads
    Updated 2 March 2016 | Dataset date: February 22, 2016-February 22, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters in Savu area, Naitasiri Province situated in the south of Viti Levu Island (Fiji). Using satellite imagery collected by RADARSAT-2 on 21 February 2016 and 08 April 2015, UNOSAT identified ~ 1,100 hectares of land to be potentially affected by waters. Most of the affected areas are agricultural fields located along the banks of River Rewa.
  • 1100+ Downloads
    Updated 2 March 2016 | Dataset date: February 26, 2016-February 26, 2016
    This dataset updates: Never
    Fiji - Contour lines with elevation data on each line, split in to two shapefiles, east and west at 180.00 degree line. Generated from Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) data 7.5 arc second resolution with 20m between contour lines.
  • 700+ Downloads
    Updated 2 March 2016 | Dataset date: February 26, 2016-February 26, 2016
    This dataset updates: Never
    General Information about the structure of this document This document contains the following four tab sheets: 'New Tikina Alphabetical', 'New TIKINA PCODE Hierachical', 'Old Tikina' and 'Settlements'. All tabs contain the Pcode information and population information. Contained within these PCODE products are: 1. A hierarchical coding for admin levels which consist of: a. Division (admin level 1) b. Province (admin level 2) c. Tikina (admin level 3) - these relate to the new consolidated Tikina as promoted by Fiji Bureau of Statistics d. Old or Traditional Tikina (admin level 4) – these are traditional boundaries. Formally this is not a Level 4 admin dataset, and there are some discrepancies between level 3 and level 4 boundaries. Settlement Pcodes – this dataset is a simple numerical list in alphabetical order of all known settlements. The settlement data are shown in their respective admin areas (Division/Province/Tikina with the PCODE numbers of those admin zones)