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  • 200+ Downloads
    Updated April 10, 2019 | Dataset date: Dec 1, 2015-Mar 25, 2019
    This dataset updates: Every month
    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.
  • 700+ Downloads
    Updated September 30, 2018 | Dataset date: Dec 1, 2015-Jun 30, 2018
    This dataset updates: Every two weeks
    The HRRP 4W tool is meant to provide an inventory of reporting activities that fall under the Housing Recovery & Reconstruction Platform (HRRP) framework. The datasets entail information on WHAT housing reconstruction activities is being planned and implemented by WHO (partner organizations), WHERE are the activities in VDC level and WHEN. In addition, the datasets also provide information on the number of beneficiaries/constructions, for the potentially measurement of process and impact.
  • 100+ Downloads
    Updated August 29, 2017 | Dataset date: Apr 9, 2017-Apr 23, 2017
    This dataset updates: Every month
    This data is collected from the survey conducted in 14 earthquake affected district in Nepal in May 2017. Total of 2100 respondent were interviewed. All VDCs in the 14 priority affected districts in which 60 percent or more of the households are eligible for the housing reconstruction grant will be considered part of the survey’s operating area, and eligible for random selection. The population of each district will be considered the total population of all eligible VDCs, as per the 2011 census. The first 2000 samples of the survey will then be distributed by district proportionally. The remaining 100 surveys will be allocated to districts where the total proportional sample size is under 100 respondents, in order to boost the population for an adequate district level analysis of the findings. The number of VDCs selected in each district will vary, depending upon the number of samples allocated to each district. Each VDC will have a minimum of two wards sampled, and each ward a minimum of 10 surveys completed. Both VDCs and wards will be randomly selected from the list of eligible VDCs. Twenty-ve percent of the total sample will be allocated for municipalities, and municipalities will be randomly selected where there is more than one municipality in a district. In municipalities a minimum of three wards will be sampled, with a minimum of 10 surveys collected per ward
  • 100+ Downloads
    Updated August 29, 2017 | Dataset date: Mar 13, 2017-Mar 24, 2017
    This dataset updates: Every month
    This data is collected from the survey conducted in 14 earthquake affected district in Nepal in May 2017. Total of 2100 respondent were interviewed. All VDCs in the 14 priority affected districts in which 60 percent or more of the households are eligible for the housing reconstruction grant will be considered part of the survey’s operating area, and eligible for random selection. The population of each district will be considered the total population of all eligible VDCs, as per the 2011 census. The first 2000 samples of the survey will then be distributed by district proportionally. The remaining 100 surveys will be allocated to districts where the total proportional sample size is under 100 respondents, in order to boost the population for an adequate district level analysis of the findings. The number of VDCs selected in each district will vary, depending upon the number of samples allocated to each district. Each VDC will have a minimum of two wards sampled, and each ward a minimum of 10 surveys completed. Both VDCs and wards will be randomly selected from the list of eligible VDCs. Twenty-ve percent of the total sample will be allocated for municipalities, and municipalities will be randomly selected where there is more than one municipality in a district. In municipalities a minimum of three wards will be sampled, with a minimum of 10 surveys collected per ward