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  • OCHA FTS
    Updated November 20, 2018 | Dataset date: Nov 20, 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
    • 1900+ Downloads
    • This dataset updates: Every day
  • Insecurity Insight
    Updated November 15, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset includes incidents affecting the delivery of aid in eight countries in 2017. The data contains incidents identified in open sources and reported by Aid in Danger partner agencies using the Security in Numbers Database (SiND).
    • XLSX
    • 80+ Downloads
    • This dataset updates: Every year
  • 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.
  • 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: 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: 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.
  • 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: 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.
  • UNESCO
    Updated October 30, 2018 | Dataset date: Jan 1, 1970-Dec 31, 2018
    Contains data from UNESCO's data portal covering various indicators.
    • CSV
    • This dataset updates: Every year
  • HDX
    Updated October 30, 2018 | Dataset date: Dec 23, 2015
    This dataset contains the daily summaries on base stations across Fiji. The four indicators included are: TPCP: Total precipitation MXSD: Maximum snow depth TSNW: Total snow fall EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.
    • CSV
    • 10+ Downloads
    • This dataset updates: Never
  • 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.
    • CSV
    • 10+ Downloads
    • This dataset updates: Every year
  • INFORM
    Updated September 14, 2018 | Dataset date: Sep 6, 2018
    The INFORM initiative began in 2012 as a convergence of interests of UN agencies, donors, NGOs and research institutions to establish a common evidence-base for global humanitarian risk analysis. INFORM identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.
    • XLSX
    • 60+ 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] 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
    • 800+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 2, 2018 | Dataset date: Jan 1, 1960-Dec 31, 2017
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • This dataset updates: Every year
  • OCHA ROAP
    Updated August 23, 2018 | Dataset date: Dec 31, 2017
    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: http://weather.unisys.com/hurricane/index.php.
  • Internal Displacement Monitoring Centre (IDMC)
    Updated August 17, 2018 | Dataset date: Jan 1, 2009-Dec 31, 2017
    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 data portal.
    • JSON
    • This dataset updates: Every year
  • UNHCR - The UN Refugee Agency
    Updated August 17, 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 17, 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
  • OurAirports
    Updated August 9, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Fiji, with latitude and longitude. Unverified community data from http://ourairports.com/countries/FJ/
    • 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