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  • 900+ Downloads
    Updated June 20, 2019 | Dataset date: Jun 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.
  • Updated June 19, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains events in which an aid worker was involved in a road traffic accident (RTA). Categorized by country.
  • 2000+ Downloads
    Updated June 19, 2019 | Dataset date: Jan 1, 2017-May 31, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 40+ Downloads
    Updated June 16, 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.
  • 50+ Downloads
    Updated June 2, 2019 | Dataset date: Jun 2, 2019
    This dataset updates: Every month
    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.
  • 70+ Downloads
    Updated June 2, 2019 | Dataset date: Jun 2, 2019
    This dataset updates: Every month
    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.
  • 40+ Downloads
    Updated June 2, 2019 | Dataset date: Jun 2, 2019
    This dataset updates: Every month
    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.
  • 60+ Downloads
    Updated June 2, 2019 | Dataset date: Jun 2, 2019
    This dataset updates: Every month
    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.
  • Updated May 28, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
  • Updated May 28, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2018
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Viet Nam 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00640
  • Updated May 28, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2018
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Viet Nam 1km Births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00589
  • 30+ Downloads
    Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Nov 22, 2016
    This dataset updates: Never
    This map illustrates the satellite-detected surface waters extent and evolution in north of Quang Binh Province, Vietnam, as observed from the Sentinel-1 images acquired on 12 and 24 October 2016. Within the analysed area, an increase of surface waters extent was observed from the 24 October 2016 image: ~4,400 ha of surface water were observed the 12 October 2016 and reached ~6,400 ha the 24 October 2016. All over the analysed zone, it corresponds to an evolution of about 45%. As example, in Tien Lang lake and dam an increase of water surface of 77 ha was observed corresponding to an evolution of ~70% by comparison to the water surface detected on 12 October 2016. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface water evolution of Dinh Binh Lake, Vinh Thanh District, Binh Dinh Province, Vietnam, as detected by Sentinel-1 images acquired on 26 October 2016 and 07 November 2016. An increase of surface water extent was detected in the 07 November 2016 image, particularly in the upstream part of the lake : ~500 ha of surface water were observed the 26 October 2016 and reached ~930 ha the 07 November 2016 corresponding to an evolution of about 85%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Ha Tinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 12 and 24 October 2016. An increase of surface waters extent was observed from the 24 October 2016 image: ~26,400 ha of surface water were observed the 12 October 2016 and reached ~30,700 ha the 24 October 2016. All over the analysed zone, it corresponds to an evolution of about 16%. More specifically, in Tri River (Song Tri) lake and dam an increase of 177 ha was observed. For Ke Go Lake and dam, an evolution of 30% of the total surface water was observed in between the 12 October and the 24 October 2016. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Binh Dinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,000 ha of surface water were observed the 07 November 2016 and reached ~49,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 90 % : An Nhon District (+5,950 ha), Tuy Phuoc District (+3,900 ha), Phu Cat District (+3,500 ha), Tay Son District (+3,200 ha), Phu My District (+3,000 ha) and Hoai An District (+2,000 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Quang Ngai Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed area, an increase of surface waters extent was observed from the 01 December 2016 image: ~12,300 ha of surface water were observed the 07 November 2016 and reached ~33,000 ha the 01 December 2016. All over the Province, it corresponds to an evolution of about 170% : Binh Son District (+4,115 ha), Mô Dúc District (+3,654 ha), Dúc Phô District (+3,279 ha), Son tinh District (+2,850 ha) and Tu Nghia District (+2,736 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Central and Eastern Quang Nam Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zones representing 75% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,200 ha of surface water were observed the 07 November 2016 and reached ~39,000 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 50 % : Thang Binh District (+5,300 ha), Nui Thanh District (+2,800 ha), Tam Ky Township (+1,530 ha) and Phu Ninh District (+1,140 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Phu Yen Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, representing ~85% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~19,200 ha of surface water were observed the 07 November 2016 and reached ~26,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 37 % : Tuy Hoa District (+3,320 ha), Dông Hòa District (+2,000 ha), Phu Hòa District (+1,460 ha) and Tuy An District (+1,340 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Dec 21, 2016
    This dataset updates: Never
    This map illustrates the satellite-detected surface waters extent and evolution in Thua Thien Hue Province, Vietnam, as observed from the Sentinel-1 images acquired on 06 December 2016 and 18 December 2016. Within the province area, an increase of surface waters extent was observed between the 06 and the 18 December 2016. ~38,400 ha of surface water were observed the 06 December 2016 and reached ~50,850 ha the 18 December 2016. All over the province area, it corresponds to an evolution of about 32%. This evolution was particularly observed in Phong Diên District (+6,100 ha) and Quang Diên District (+1,780 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent in southern part of Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2017, following the landfall of tropical cyclone DAMREY-17 ON 05 November 2017. In the analyzed area, 700,000 ha of lands, mainly agricultural and paddy fields are likely flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters in Binh DinhNam Province, Vietnam, as observed from the Sentinel-1 image acquired on 10 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. The districts located in the coastal areas have been affected by the floods; especially the ones located in the southern coastal part of the province and more particularly Phu Cat, An Nhon, Tuy Phuoc and Qui Nhon districts. Around 17,000 ha of lands were identified as flooded within the province of Bihn Dihn. It represents an increase of ~140 % of the surface waters in the analyzed zone. In this analyzed area and according to the WorldPop data, more than 100,000 people are potentially exposed to flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates the satellite-detected surface waters in Phu Yen Province, Vietnam, as detected from Sentinel-1 image acquired on 10 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. In the analysed area, about 19,000 ha of lands are likely flooded. It represents an increase of about 100% of the surface waters in this zone. In addition, and according to WorldPop data ~39,000 people are living within the potentially flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates the satellite-detected surface waters extent in Ho Chi Minh City area and surroundings, as observed from the Radarsat-2 SAR image acquired on 18 December 2017. In the analysed area (~3000 km2) about 5,400 ha of lands, mainly agricultural and paddy fields are likely flooded. In addition, using WorldPop data, we can estimate that ~220,000 people are living within flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Nov 8, 2017
    This dataset updates: Live
    This map illustrates the satellite-detected surface waters in Quang Nam Province, Vietnam, as observed from the Radarsat-2 image acquired on 07 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. The districts located in the coastal areas have been affected by the floods; especially the ones located in the northern coastal part of the province and more particularly Dien Ban, Duy Xuyen and Thang Binh districts. Even if the province of Quang Nam was not in the passage of the cyclone, ~ 35,000 ha were identified as flooded within the analyzed area (8,700 km2). It represents an increase of about 230% of the surface waters in the analyzed zone. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.