Nepal

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Data Datasets [109] | Archived Datasets[173] [?]
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  • 300+ Downloads
    Time Period of the Dataset [?]: August 31, 2015-August 31, 2015 ... More
    Modified [?]: 29 January 2024
    Dataset Added on HDX [?]: 28 April 2015
    This dataset updates: Never
    This dataset depicts the Health Infrastructure of Nepal as points with 3 word addresses so that whoever is on ground can easily communicate the location of these centres.
  • 400+ Downloads
    Time Period of the Dataset [?]: September 01, 2015-September 30, 2015 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 26 November 2015
    This dataset updates: Never
    Round 3 of monthly Community Perception Survey of 1400 respondents in 14 priority affected districts of Nepal, post-earthquake. The data is collected by Accountability Lab and Local Interventions Group, as part of the Inter Agency Common Feedback Project, which aims to capture and represent the perceptions of earthquake affected communities within the response and recovery effort.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 01, 2015-August 31, 2015 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 26 November 2015
    This dataset updates: Never
    Round 2 of monthly Community Perception Survey of 1400 respondents in 14 priority affected districts of Nepal, post-earthquake. The data is collected by Accountability Lab and Local Interventions Group, as part of the Inter Agency Common Feedback Project, which aims to capture and represent the perceptions of earthquake affected communities within the response and recovery effort.
  • Time Period of the Dataset [?]: November 17, 2022-November 17, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20221117NPL This map illustrates satellite-detected surface waters in Sudurpaschim and Lumbini Provinces, Nepal as observed from a Sentinel-2 image acquired on 15 October 2022. Within the total analyzed area of about 4,700 km², ~70 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters about 35,000 people are potentially exposed or living close to flooded areas, of which 18,000 are located In Janaki, Tikapur, Geruwa, Rajapur, Thakurbaba & Madhuwan Palikas. 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).
  • Time Period of the Dataset [?]: November 18, 2022-November 18, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20221117NPL This map illustrates satellite-detected surface waters in Banke District, Lumbini Province, Nepal as observed from Sentinel-2 images acquired on 25 & 30 October 2022 (Cumulative). Within the analyzed area of about 4,000 km², a combined 33 km² of lands appear to be flooded on the 25th and the 30th of October 2022. Water extent appears to have decreased of about 26 km² since the 15th October 2022. Based on Worldpop population data and the detected surface waters, about 1,400 people are potentially exposed or living close to flooded areas, of which 1,400 are located in Duduwa and Narainapur Palikas. 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).
  • Time Period of the Dataset [?]: November 18, 2022-November 18, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20221117NPL This map illustrates satellite-detected surface waters in Sudurpaschim and Lumbini Provinces, Nepal as observed from Sentinel-2 images acquired on 25 & 30 October 2022 (Cumulative). Within the analyzed area of about 5,600 km², a combined 52 km² of lands appear to be flooded on the 25th and the 30th of October 2022. Water extent appears to have decreased of about 37 km² since the 15th October 2022. Based on Worldpop population data and the detected surface waters, about 23,000 people are potentially exposed or living close to flooded areas, of which 10,000 are located In Janaki, Tikapur, Geruwa, Rajapur, Thakurbaba & Madhuwan Palikas. 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).
  • Time Period of the Dataset [?]: July 08, 2021-July 08, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Nawalparasi West, Rupandehi and Kapilbastu districts, Lumbini province, Nepal as observed from a Sentinel-1 image acquired on 7 July 2021 at 06:12 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 1,500 km2 and, about 67km2 of lands appear to be flooded. The water extent appears to have decreased of about 110 km2 since 2 July 2021 and moved toward India. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Rupandehi with ~59,000 people and Nawalparasi West with ~5,200 people. 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
    Time Period of the Dataset [?]: July 08, 2021-July 08, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Kaski and Syangja districts, Gandaki province, Nepal as observed from a Sentinel-2 image acquired on 4 July 2021 at 10:41 local time. Within the analyzed cloud free zones of about 500 km2, a total of about 25km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Kaski district with ~16,000 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: July 06, 2021-July 06, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Sudurpaschim and Lumbini provinces, Nepal as observed from a Sentinel-1 image acquired on 4 July 2021 at 18:38 local time and using an automated analysis with Machine learning method. Within the analyzed area of 7,055 km2, about 170 km2 of lands appear to be flooded. The water extent appears to have increased of about 150 km2 since 30 June 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Kailali with ~28,000 people, Banke with ~23,000 people, and Bardiya with ~21,000 people. 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
    Time Period of the Dataset [?]: July 05, 2021-July 05, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected flash floods and landslides in Melamchi village, Melamchi Municipality, Bagmati province, Nepal as observed using Sentinel-2 satellite imagery acquired on 24 June 2021. Within the analyzed area, approximately 150 structures appear to be potentially affected by the landslides. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: July 05, 2021-July 05, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Province 2, Lumbini, Gandaki,and Bagmati provinces , Nepal as observed from a Sentinel-1 image acquired on 3 July 2021 at 01:37 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 17,000 km2 and, about 830km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Parsa with ~386,000 people, Rautahat with ~221,500 people, Rupandehi with~148,800, and Bara with ~148,200 people. 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.
  • Time Period of the Dataset [?]: July 06, 2021-July 06, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Province 1, Nepal as observed from a Sentinel-1 image acquired on 4 July 2021 at 05:48 local time and using an automated analysis with Machine learning method. Within the analyzed area of 4,060 km2, about 240 km2 of lands appear to be flooded. The water extent appears to have decreased of about 200 km2 since 1 July 2021 and moved toward India. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Sunsari with ~186,000 people, Morang with ~83,600 people, and Jhapa with ~21,700 people. 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.
  • Time Period of the Dataset [?]: July 02, 2021-July 02, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Province 1 and 2 as observed from a Sentinel-1 image acquired on 1 July 2021 at 05:58 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 110,000 km2 and, about 645km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 700,000 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 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.
  • 200+ Downloads
    Time Period of the Dataset [?]: May 05, 2015-May 05, 2015 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 6 May 2015
    This dataset updates: Never
    Using OSM's extracts, we have addressed the IDP camps in Nepal to assist those on ground to communicate the location of the camps easily and quickly.
  • 10+ Downloads
    Time Period of the Dataset [?]: July 16, 2020-July 16, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Radarsat-2 image acquired on 14 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,000 km2, a total of about 50 km2 of lands 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 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.
  • Time Period of the Dataset [?]: July 15, 2020-July 15, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Sentinel-1 image acquired on 13 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,300 km2, a total of about 200 km2 of lands 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 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.
  • Time Period of the Dataset [?]: July 13, 2020-July 13, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 1 and 2 of Nepal as observed from a Radarsat-2 image acquired on 12 July 2020 due to the current monsoon rains. Within the analyzed area of about 3,000 km2, a total of about 475 km2 of lands 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 radar images may underestimate the presence of standing waters in built-up areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: July 14, 2020-July 14, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a TerraSAR-X image acquired on 12 July 2020 due to the current monsoon rains. Within the analyzed area of about 900 km2, a total of about 35 km2 of lands 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 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.
  • Time Period of the Dataset [?]: July 09, 2020-July 09, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 1 and 2 of Nepal as observed from a Sentinel-1 image acquired on 6 July 2020. Within the analyzed area of about 2,700 km2, a total of a bout 76 km2 of lands 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 6 July 2020 may seriously underestimate presence of standing flood water in built up areas due to backscattering properties
  • 200+ Downloads
    Time Period of the Dataset [?]: April 27, 2015-April 28, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 29 April 2015
    This dataset updates: Never
    Geodata of nepal earthquake damages as of 28 April 2015 shared publicly by NGA's Open Data Application.
  • 200+ Downloads
    Time Period of the Dataset [?]: May 12, 2015-May 12, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 12 May 2015
    This dataset updates: Never
  • 100+ Downloads
    Time Period of the Dataset [?]: April 25, 2015-April 25, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 25 April 2015
    This dataset updates: Never
    For more information please refer to USGS's official page.
  • 90+ Downloads
    Time Period of the Dataset [?]: December 31, 2011-December 31, 2011 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 27 April 2015
    This dataset updates: Never
    Education profiles by district. For more information please refer to the United Nations Nepal Information portal. The education profiles are contained in a ZIP package with with 25 files, including: Teacher Training Statistics_PL(2011-012).xlsx GER & GIR 2011-012.xlsx Total enrollment at all levels_Institutional(2011-012).xlsx Teacher training status_LS(2011-012).xlsx Total Teachers at all Level_Social_Group(2011-012).xlsx School Student Ratio by level(2011-012).xlsx Teacher by training status_SS(2011-012).xlsx Total Dalit enrollment at all levels(2011-012).xlsx Teacher By training status_LS(2011-012).xlsx Student Teacher Ratio(2011-012).xlsx Total enrollment at all levels_Community(2011-012).xlsx Dropout_Rates_2011-012.xlsx Total number of schools (2011-012).xlsx Teacher Training Statistics(2011-012).xlsx Teacher training status_SS(2011-012).xlsx Student_Disability_Statistics_2011-012.xlsx Student Teacher Ratio_Community_School(2011-012).xlsx Total enrollment at all level (2011-012).xlsx Total Enrollment and GER_ECD_PPC(2011-012).xlsx NIR & NER 2011-012.xlsx Teacher Training By percentage_PL(2011-012).xlsx Percentage of New-Entrants in Grade 1(2011-012).xlsx Teacher Training By percentage(2011-012).xlsx Total Janajati enrollment at all level(2011-012).xlsx Total Teachers at all Levels (2011-012).xlsx
  • 100+ Downloads
    Time Period of the Dataset [?]: April 28, 2015-April 28, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 29 April 2015
    This dataset updates: Never
    Geodata of Nepal earthquake covered and impassable road shared publicly by NGA's Open Data Application
  • 100+ Downloads
    Time Period of the Dataset [?]: December 01, 2015-March 25, 2019 ... More
    Modified [?]: 10 April 2019
    Dataset Added on HDX [?]: 15 August 2018
    This dataset updates: Never
    The NRA 5W tool is meant to provide an inventory of activities planned/ongoing/completed by partner organisations (POs) and other stakeholders for the recovery and reconstruction of 14 most affected and 18 moderately affected districts in Nepal in response to the Nepal Earthquake 2015. The datasets entail information on WHAT activities are planned and being implemented by WHO (partner organizations), WHERE the activities are implemented (Municipality/ward level), for WHOM and WHEN.