Kiribati

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  • Kiribati - Historical Health Indicators
    World Health Organization
    Time Period of the Dataset [?]: January 01, 1961-December 31, 2025 ... More
    Modified [?]: 27 June 2024
    Dataset Added on HDX [?]: 26 June 2024
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    This dataset updates: Never
    This dataset contains historical data from WHO's data portal.
  • UN Collective Results on the COVID-19 Socioeconomic Response in 2020
    United Nations Development Coordination Office (inactive)
    300+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
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    This dataset updates: Never
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
  • Kiribati - Demographic, Health, Education and Transport indicators
    United Nations Human Settlement Programmes, Data and Analytics Section
    60+ Downloads
    Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More
    Modified [?]: 28 September 2018
    Dataset Added on HDX [?]: 28 September 2018
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    This dataset updates: Never
    This dataset is part of the data series [?]: United Nations Human Settlement Programmes, Global Urban Observatory - Demographic, Health, Education and Transport indicators
    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.
  • GAR15 Global Exposure Dataset for Kiribati
    United Nations Office for Disaster Risk Reduction (UNDRR)
    40+ Downloads
    Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More
    Modified [?]: 29 January 2016
    Dataset Added on HDX [?]: 14 January 2016
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    This dataset updates: Never
    This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure
    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.