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  • 200+ Downloads
    Updated 21 July 2019 | Dataset date: May 01, 2019-June 24, 2019
    This dataset updates: Every three months
    Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. This dataset presents the result of the NPM Round 15 Site Assessment exercise, which collected information from female key informant form 1956 locations related to the Rohingya refugee population distribution and multisectoral needs during the months of 1st May – 24th June. NPM Site Assessment Round 15 Dataset Rohingya refugee population distribution by para in Teknaf upazila. Please click here.
  • Updated 18 February 2022 | Dataset date: October 21, 2021-October 21, 2021
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 15 to 19 October 2021 compared with the period between 09 to 13 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 48,000 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 10,000 km2 since the period between 09 to 13 October 2021. Based on Worldpop population data and the detected surface waters, ~1,350,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Updated 16 February 2022 | Dataset date: February 09, 2022-February 09, 2022
    This dataset updates: Never
    UNOSAT code: FL20220119SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 15 to 19 Jan. 2022 compared with the period between 10 to 14 Jan. 2022. Within the cloud free analyzed areas of about 625,000 km2, a total of about 31,500 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,300 km2 since the period between 10 to 14 Jan. 2022. Based on Worldpop population data and the maximal flood water coverage, ~755,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Updated 1 September 2022 | Dataset date: August 18, 2022-August 18, 2022
    This dataset updates: Never
    UNOSAT code: FL20220808PAK This map illustrates satellite-detected surface waters in Sindh province, Pakistan as observed from a Sentinel-1 image acquired on 15 August 2022 at 18:36 local time. Within the analyzed area of about 30,000 km2, about 1,550 km2 of lands appear to be flooded. Water extent appears to have decreased of about 325 km2 since the 06 August 2022. within the analyzed area. Based on Worldpop population data and the detected surface waters in the analyzed area, about 410,000 are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Updated 18 February 2022 | Dataset date: February 17, 2022-February 17, 2022
    This dataset updates: Never
    UNOSAT code: FL20220119SSD This map illustrates cumulativesatellite-detected water using VIIRS in South Sudan between 11 to 15 Feb. 2022 compared with the period between 04 to 08 Feb. 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 30,200 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,500 km2 since the period between 04 to 08 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~704,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Updated 22 March 2022 | Dataset date: March 15, 2022-March 15, 2022
    This dataset updates: Never
    UNOSAT code: TC20220311MOZ This map illustrates satellite-detected surface waters in Maganja da Costa, Moaquival and Namacurra Districts, Nampula Province, Mozambique as observed from a RCM-1 image acquired on 15 March 2022 at 05:10 local time. Within the analyzed area of about 1500 km2, about 237 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 22,600 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • 10+ Downloads
    Updated 3 June 2020 | Dataset date: December 20, 2019-December 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191217MYS This map illustrates satellite-detected surface water in Kluang and Mersing District, Johor State and Rompin District, Pahang State of Malaysia as observed from Sentinel-1 imagery acquired on 15 December 2019. Within the analysed extent of about 3,500 km2, a total about 23 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 15 December 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2000-December 31, 2018
    This dataset updates: Every year
    Estimated number of annual AIDS-related deaths (adolescents and young people aged 15-24 years)
  • Updated 14 April 2020 | Dataset date: January 01, 1987-December 31, 2018
    This dataset updates: Every year
    Demand for family planning satisfied with modern methods - percentage of women (aged 15-49 years)
  • Updated 14 April 2020 | Dataset date: January 01, 2000-December 31, 2018
    This dataset updates: Every year
    Per cent of young women and men 15-24 years old who correctly identify both ways of preventing the sexual transmission of HIV, know that a healthy-looking person can be HIV-positive and reject two most common misconceptions about HIV transmission
  • The average number of years of education received in a life-time by people aged 15 and older has been used by BPS and UNDP as a proxy to measure the education dimension in Human Development Index (HDI) Report. The number was increased from 8.32 years in 2015 to 8.42 years in 2016 (equivalent to grade 2 of Junior High School-SMP). This data, derived from the National Socio-Economic Survey (SUSENAS March) that published through Indonesia Education Statistics report by BPS. The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/06/29/1508/rata-rata-lama-sekolah-penduduk-umur-15-tahun-menurut-provinsi-2015---2016.html while the publication is available: https://www.bps.go.id/publication/2017/12/29/a5f1de9e06a62e333bc7a33c/potret-pendidikan-indonesia-statistik-pendidikan-2017.html
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2004-December 31, 2018
    This dataset updates: Every year
    Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM)
  • Updated 14 April 2020 | Dataset date: January 01, 2001-December 31, 2018
    This dataset updates: Every year
    Percentage of boys and men (aged 15-49 years) who think that FGM should be eliminated
  • 100+ Downloads
    Updated 19 November 2019 | Dataset date: June 30, 2017-June 30, 2017
    This dataset updates: As needed
    This data is about the number of workers by major occupation category and age group.
  • 7400+ Downloads
    Updated 24 November 2015 | Dataset date: January 01, 2015-January 01, 2015
    This dataset updates: Every year
    A comprehensive set of information on global volcanic hazard, historical events, population exposure, vulnerability, and impact has been provided to GAR15 by Global Volcano Model (GVM) and The International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI). This work is the first of its kind in global coverage and level of contribution from a wide network of experts and institutions around the world.
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2014-December 31, 2018
    This dataset updates: Every year
    Per cent of people (aged 15-49) who respond no to either of two questions relating to HIV stigma: 1) Would you buy fresh vegetables from a shopkeeper or vendor if you knew that this person had HIV? 2) Do you think that children living with HIV should be able to attend school with children who are HIV negative?
  • 1200+ Downloads
    Updated 26 January 2016 | Dataset date: January 01, 2015-January 01, 2015
    This dataset updates: Every year
    The Global Exposure Database for GAR: A Global exposure database was developed for GAR15 by UNEP-GRID with close collaboration and inputs from WAPMERR (World Agency of Planetary Monitoring and Earthquake Risk Reduction), EU Joint Research Center (JRC), and Kokusai Kogyo. This database includes estimation on the economic value of the exposed assets, as well as their physical characteristics in urban and rural agglomerations. This information is key to assess the potential damages from different hazards to each of the exposed elements. The global exposure database is developed at 1km spatial resolution at coastal areas and at 5km spatial resolution everywhere else on the globe. It includes economic value, number of residents, and construction type of residential, commercial and industrial buildings, as well as hospitals and schools (De Bono et al., 2015).
  • 30+ Downloads
    Updated 16 November 2019 | Dataset date: October 17, 2019-October 17, 2019
    This dataset updates: Never
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected fire hotspots based on the analysis of Visible Infrared Imaging Radiometer Suite (VIIRS) accessed via NASA FIRMS, between October 15-16, 2019. 30 hotspots were detected in Lebanon and 121 hotspots were detected in three analysed Governorates (i.e. Homs, Lattakia and Tartous) in Syria. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 22 November 2019 | Dataset date: November 19, 2019-November 19, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flooded structures along the Ubangui River over Libenge, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. UNITAR-UNOSAT identified 22 potentially flooded structures west of Libenge, within the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 16 February 2022 | Dataset date: February 15, 2022-February 15, 2022
    This dataset updates: Never
    UNOSAT code: TC20220201MDG This map illustrates satellite-detected surface waters in Farafangana district, Atsimo Atsinanana region, Madagascar as observed from Sentinel-1 image acquired of 15 February 2022 at 05:12 local time. Within the analyzed area of about 1,200 km2, about 6 km2 of lands appear to be flooded. The water extent appears to have decreased of about 87 km2 since 8 February 2022. Based on Worldpop population data and the detected surface waters, about 1,200 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Updated 14 April 2020 | Dataset date: January 01, 2000-December 31, 2018
    This dataset updates: Every year
    Per cent of young people (aged 15-24 years) who know a place to get tested for HIV
  • Updated 16 February 2022 | Dataset date: February 15, 2022-February 15, 2022
    This dataset updates: Never
    UNOSAT code: TC20220201MDG This map illustrates satellite-detected surface waters in Farafangana and Vangaindrano districts, Atsimo Atsinanana region, Madagascar as observed from Sentinel-1 image acquired of 15 February 2022 at 05:12 local time. Within the analyzed area of about 1,700 km2, about 5 km2 of lands appear to be flooded. The water extent appears to have decreased of about 80 km2 since 8 February 2022. Based on Worldpop population data and the detected surface waters, about 900 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal. Satellite Data: Sentinel-1 Imagery Date: 15 Feb 2022 at 02:12 Local time Resolution: 10 m Copyright: Contains modified Copernicus Sentinel Data [2022]Source: ESA
  • Updated 22 November 2019 | Dataset date: November 20, 2019-November 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flood waters along the Ubangi River over Libenge, Libenge Territory, Sud-Ubangi Province in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. 90 ha of potential flood waters have been identified in Libenge and its vicinity. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.
  • Updated 18 February 2022 | Dataset date: August 16, 2021-August 16, 2021
    This dataset updates: Never
    UNOSAT code: FR20210811DZA Cette carte illustre les zones incendiées telles qu'observées à partir d'une image Sentinel-2 acquise le 15 août 2021 à 10:50 UTC dans la commune d'El Amra. Sur les 22,300 ha analysés, environ 2,500 ha de couverture végétale/forêts apparaissent comme brûlés. Ceci est analyse préliminaire et n'a pas encore été validée sur le terrain. N'hésitez pas à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
  • 10+ Downloads
    Updated 3 June 2020 | Dataset date: December 19, 2019-December 19, 2019
    This dataset updates: Never
    UNOSAT code: FL20191217MYS This map illustrates satellite-detected surface water in Kota Tinggi and Mersing district, Johor state of Malaysia as observed from Sentinel-1 imagery acquired on 15 December 2019. Within the analysed extent of about 1,300 km2, a total about 8 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 15 December 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal