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  • 200+ Downloads
    Updated May 20, 2019 | Dataset date: May 20, 2019
    This dataset updates: Every day
    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.
  • 20+ Downloads
    Updated May 19, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2017
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • Updated April 17, 2019 | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Kiribati. Source: http://ngoaidmap.org/location/gn_4030945
  • Updated April 17, 2019 | Dataset date: Jan 1, 2019-Jan 1, 2020
    This dataset updates: Live
    Live list of active aid activities for Kiribati shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • 20+ Downloads
    Updated January 27, 2019 | Dataset date: Jan 1, 1950-Dec 31, 2050
    This dataset updates: Every year
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
  • Updated January 26, 2019 | Dataset date: Jan 1, 1970-Dec 31, 2018
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 1900+ Downloads
    Updated January 25, 2019 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: Every year
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 30+ Downloads
    Updated January 25, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2017
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • 30+ Downloads
    Updated September 28, 2018 | Dataset date: Jan 1, 1950-Dec 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.
  • 100+ Downloads
    Updated September 14, 2018 | Dataset date: Sep 6, 2018
    This dataset updates: Every year
    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.
  • Updated July 18, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2015
    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 data portal.
  • Updated July 17, 2018 | Dataset date: Jan 1, 2015
    This dataset updates: Every year
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • Updated October 20, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2027
    This dataset updates: Live
    List of airports in Kiribati, with latitude and longitude. Unverified community data from http://ourairports.com/countries/KI/
  • 60+ Downloads
    Updated February 1, 2016 | Dataset date: Dec 31, 2015
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.