Household Registration for Housing Reconstruction Survey 2016-2017
Nepal, 2016 - 2017
Central Bureau of Statistics
Created on August 18, 2017
Last modified August 18, 2017
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Identification
Survey ID Number
NPL-CBS-HRHRS-2016-v01
Title
Household Registration for Housing Reconstruction Survey 2016-2017
Translated Title
Bhukampa Prabhabit Awas Punanirman Lagat Sankalan Karyakram 2016-2017
Country
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Other Household Survey [hh/oth]
Abstract
The devastating 7.6 Richter Scale earthquake that hit Nepal on April 25, 2015 noon and its aftershocks mostly affected 31 districts. The quake took a large number of human and animal lives causing massive damage to the buildings and infrastructure in 14 most affected districts namely Dolakha, Ramechhap, Okhaldhunga, Sindhupalchok, Kavrepalanchok, Sindhuli, Makawanpur, Dhading, Nuwakot, Rasuwa, Gorakha, Kathmandu, Lalitpur and Bhaktapur and inflicted minor damage in 17 less affected districts namely Solukhumbu, Shankhuwasabha, Bhojpur, Dhankuta, Khotang, Chitwan, Nawalparasi, Arghakhanchi, Palpa, Gulmi, Syangja, Parbat, Baglung, Myagdi, Kaski, Tanahun, and Lamjung disricts. The Government successfully carried out instant relief and rescue operation by coordinating national and international well-wishers' hand and cooperation. The government also completed Post Disaster Needs Assessment (PDNA) in about a month after the quake which assessed the level and extent of damage in the national level and helped the government to garner international support in the future reconstruction and rehabilitation efforts.
The PDNA sufficiently provided quick and summary assessment of the total damage but it did not have the detail information necessary to provide individual assistance to housing reconstruction. A detailed and comprehensive household survey to identify beneficiaries of the housing support was also a precondition of some of the development partners including the World Bank to ensure transparency while providing grants. Therefore, the government decided to conduct this earthquake affected housing survey in order to identify beneficiaries to receive the support.
Objectives of this survey are:
Collection ot information about earthquake affected houses.
Collection of socio-economic information about earthquake affected households.
To prepare electronic database of earthquake affected house and household.
Census model was used in the in 11 districts and rural areas of Lalitpur district whereas verification model was used in the municipal areas of Kathmandu valley and 17 districts. In the census model, irrespective of the extent of damage, each and every private residential building was visited and assessed. But verification model was used in the municipal areas of Kathmandu, Lalitpur and Bhaktapur districts and 17 districts in which the households enlisted and certified by the local village and municipal authorities as earthquake affected households were only visited and assessed. The use of already existed list significantly reduced the amount of survey work and hence time. In the survey, private residential houses were visited and assessed by trained surveyors. Irrespective of the ownership of the land or the houses built on such land, the damage level of the houses were assessed as long as they were used or built for residential purposes.
The PDNA sufficiently provided quick and summary assessment of the total damage but it did not have the detail information necessary to provide individual assistance to housing reconstruction. A detailed and comprehensive household survey to identify beneficiaries of the housing support was also a precondition of some of the development partners including the World Bank to ensure transparency while providing grants. Therefore, the government decided to conduct this earthquake affected housing survey in order to identify beneficiaries to receive the support.
Objectives of this survey are:
Collection ot information about earthquake affected houses.
Collection of socio-economic information about earthquake affected households.
To prepare electronic database of earthquake affected house and household.
Census model was used in the in 11 districts and rural areas of Lalitpur district whereas verification model was used in the municipal areas of Kathmandu valley and 17 districts. In the census model, irrespective of the extent of damage, each and every private residential building was visited and assessed. But verification model was used in the municipal areas of Kathmandu, Lalitpur and Bhaktapur districts and 17 districts in which the households enlisted and certified by the local village and municipal authorities as earthquake affected households were only visited and assessed. The use of already existed list significantly reduced the amount of survey work and hence time. In the survey, private residential houses were visited and assessed by trained surveyors. Irrespective of the ownership of the land or the houses built on such land, the damage level of the houses were assessed as long as they were used or built for residential purposes.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Units of Analysis: Individual, Households and Houses
Version
Version Description
v1: Edited, anonymized dataset for public distribution
Version Date
2017-06-11
Scope
Notes
The scope of the HRHRS includes:
HOUSE OWNER INFORMATION: Number of owners, sex of house owners, number of houses within and out of enumeration area
HOUSE INFORMATION: Legal ownership of land, condition of the house after the earthquake and its aftershocks, condition of house before earthquake, foundation of the building, damage grade of house, technnical solution of damaged house, types of house, position ofhouse, plan configuration of the house, Building Damage Assessment and geotechnical risk.
DEMOGRAPHIC AND SOCIOECONOMIC INFORMATION: Information about the household head, Income of the household head, individual information, marrital status, death, age, sex, disability, educatioin status, size of family, social security allowance, facilities use by the household etc.
HOUSE OWNER INFORMATION: Number of owners, sex of house owners, number of houses within and out of enumeration area
HOUSE INFORMATION: Legal ownership of land, condition of the house after the earthquake and its aftershocks, condition of house before earthquake, foundation of the building, damage grade of house, technnical solution of damaged house, types of house, position ofhouse, plan configuration of the house, Building Damage Assessment and geotechnical risk.
DEMOGRAPHIC AND SOCIOECONOMIC INFORMATION: Information about the household head, Income of the household head, individual information, marrital status, death, age, sex, disability, educatioin status, size of family, social security allowance, facilities use by the household etc.
Keywords
| Keyword | Vocabulary |
|---|---|
| Household Registration | HR |
| Housing Reconstruction | HR |
| Earthquake | EQ |
Coverage
Geographic Coverage
Earthquake affected 31 districts:
Complete Census: Okhaldhunga, Sindhuli, Ramechhap, Dolakha, Sindhupalchok, Kavrepalanchok, Rasuwa, Nuwakot, Makawanpur, Dhading, Gorkha
Verification Model (on the basis of PDNA basis): Solukhumbu, Sankhuwashabha, Bhojpur, Khotang, Dhankuta, Bhaktapur, Kathmandu, Lalitpur,Chitwan, Nawalparasi, Arghakhanchi, Gulmi, Palpa, Tanahu, Lamjung, Kaski, Parbat, Syangja, Baglung, Myagdi
Complete Census: Okhaldhunga, Sindhuli, Ramechhap, Dolakha, Sindhupalchok, Kavrepalanchok, Rasuwa, Nuwakot, Makawanpur, Dhading, Gorkha
Verification Model (on the basis of PDNA basis): Solukhumbu, Sankhuwashabha, Bhojpur, Khotang, Dhankuta, Bhaktapur, Kathmandu, Lalitpur,Chitwan, Nawalparasi, Arghakhanchi, Gulmi, Palpa, Tanahu, Lamjung, Kaski, Parbat, Syangja, Baglung, Myagdi
Universe
For 11 districts: Census
For 20 Districts: Verification model - damaged houses only.
For 20 Districts: Verification model - damaged houses only.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Central Bureau of Statistics | Nation Planning Commission Secretariat, Government of Nepal |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Urban Development | Government of Nepal | Technical Support |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Bank | WB | Financial support |
| Department for International Development | DFID | Financial support |
Sampling
Sampling Procedure
Census of damaged houses: Complete enumeration.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2016-01-15 | 2016-06-20 | First |
| 2016-07-11 | 2016-09-15 | Second |
| 2016-11-21 | 2017-04-14 | Third |
Data Collection Mode
Face-to-face [f2f]
Supervision
The survey team was comprised of two persons – an engineer and a social mobilizer. The surveyor engineers were contracted for a period of 2 months of which 45 days were set aside for the field work and 15 days were set aside for training and travel. The engineers played the key leading role in the building assessment and individual interview while the social mobilizers facilitated the overall data collection. The survey mobilized 2632 surveyor engineers including supervisors and nearly an equal number of social mobilizers. The surveyor engineers were recruited and provided by local manpower suppliers under an agreement with the United Nations Office for Project Services, Nepal (UNOPS, Nepal). On the other hand, social mobilizers working locally with MoFALD in the village development committees and municipalities were utilized in the survey.
The District Survey Management Office (DSMO) established in each of 31 districts shouldered the overall responsibility of planning, implementing and managing all the local activities of the survey.
The DSMO provided each of the survey team with a specified job (designated area or list of households) which was to be completed in the given time.
The DSMO also conducted the local level awareness programs and information campaign for the survey. Besides, the DSMO also managed for local level coordination and support for the survey.
The District Survey Management Office (DSMO) established in each of 31 districts shouldered the overall responsibility of planning, implementing and managing all the local activities of the survey.
The DSMO provided each of the survey team with a specified job (designated area or list of households) which was to be completed in the given time.
The DSMO also conducted the local level awareness programs and information campaign for the survey. Besides, the DSMO also managed for local level coordination and support for the survey.
Data Collection Notes
Various levels of training were organized in the center and districts. A five-day master training of trainers (MToT) was organized at CBS in which 40 persons consisting of senior engineers of Ministry of Urban Development (MoUD), members of CTTF and senior statisticians of CBS. The members of CTTF and senior engineers from ministry of urban development who were directly involved in the questionnaire and manual preparation were employed as the resource persons for the MToT. These persons from the MToT were used as resource persons in the five-day surveyor engineers training that were conducted in Kathmandu in a number of phases as required. This training consisted of four-day of extensive class sessions, mock and peer interview, and case study and one day of field work and discussion. The logistics and venue management for the training was done by the local suppliers hired by UNOPS.
The district survey management office in the survey districts conducted three-days training for social mobilizers selected to accompany the surveyor engineers in the survey.
The paper questionnaire was tested in Sankhu village of Kathmandut in which about 50 households were interviewed. After some modifications after the field test, a draft version of CAPI was prepared and a two-day pilot test was carried out in about 150 households of the Ravi Opi village development committee of Kavrepalanchok district in which the flow of the questions in the CAPI, data transfer to the server and its management, and other aspects of field management like time and HR management were tested.
Interviews average time was 30 to 45 minutes for the HRHRS questionnaire including measuring of house.
Before collecting data surveyor, VDC/Municipality representative and community meeting was conducted.
Interviews were conducted in Nepali language.
Every possible measure to enhance the quality of survey was adopted during different phases of the survey. In this respect, coordination of all the relevant stakeholders were ensured during questionnaire design. Similarly, check programs were built in the system of CAPI to deal with inconsistency in the answers provided by the respondents and any mistakes inadvertently creeped into the system during the recording of the answers. This resulted in significant increment of quality of the collected data. Two 24-hour help desk for the survey team at CBS were established during the survey which provided appropriate direction to the surveyors. In addition, a toll-free number was also set up at CBS during the period of field work. Similarly, the data uploaded at the server from the field were constantly monitored using trained civil/structural engineers and appropriate instructions were given to the surveyors through telephone in case of any inconsistent data upload.
Appropriate mechanisms were set up in the center and districts for effective supervision and monitoring of the survey activities. The members of the steering and technical committee, and CTTF team members were extensively mobilized from the center for supervision and monitoring of the training, field work and data management. The coordination committee formed in the district in the chairmanship of the chief district officer and the district survey management office members supervised the field work as well.
The data management team at the center also monitored the data online and gave appropriate instructions to the surveyors in the field.
Computer Assisted Personal Interview (CAPI) was used for the first time in the history of data collection by CBS. The CAPI application to be used in the TABLET for data collection was prepared by a local software developer contracted by UNOPS. The application was prepared by using ODK (Open Data Kit) platform. Such data collected in the field was sent instantly to the central server of CBS housed at Government Integrated Data Center (GIDC) through the mobile network in the TABLET or WIFI.
The district survey management office in the survey districts conducted three-days training for social mobilizers selected to accompany the surveyor engineers in the survey.
The paper questionnaire was tested in Sankhu village of Kathmandut in which about 50 households were interviewed. After some modifications after the field test, a draft version of CAPI was prepared and a two-day pilot test was carried out in about 150 households of the Ravi Opi village development committee of Kavrepalanchok district in which the flow of the questions in the CAPI, data transfer to the server and its management, and other aspects of field management like time and HR management were tested.
Interviews average time was 30 to 45 minutes for the HRHRS questionnaire including measuring of house.
Before collecting data surveyor, VDC/Municipality representative and community meeting was conducted.
Interviews were conducted in Nepali language.
Every possible measure to enhance the quality of survey was adopted during different phases of the survey. In this respect, coordination of all the relevant stakeholders were ensured during questionnaire design. Similarly, check programs were built in the system of CAPI to deal with inconsistency in the answers provided by the respondents and any mistakes inadvertently creeped into the system during the recording of the answers. This resulted in significant increment of quality of the collected data. Two 24-hour help desk for the survey team at CBS were established during the survey which provided appropriate direction to the surveyors. In addition, a toll-free number was also set up at CBS during the period of field work. Similarly, the data uploaded at the server from the field were constantly monitored using trained civil/structural engineers and appropriate instructions were given to the surveyors through telephone in case of any inconsistent data upload.
Appropriate mechanisms were set up in the center and districts for effective supervision and monitoring of the survey activities. The members of the steering and technical committee, and CTTF team members were extensively mobilized from the center for supervision and monitoring of the training, field work and data management. The coordination committee formed in the district in the chairmanship of the chief district officer and the district survey management office members supervised the field work as well.
The data management team at the center also monitored the data online and gave appropriate instructions to the surveyors in the field.
Computer Assisted Personal Interview (CAPI) was used for the first time in the history of data collection by CBS. The CAPI application to be used in the TABLET for data collection was prepared by a local software developer contracted by UNOPS. The application was prepared by using ODK (Open Data Kit) platform. Such data collected in the field was sent instantly to the central server of CBS housed at Government Integrated Data Center (GIDC) through the mobile network in the TABLET or WIFI.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Bureau of Statistics | CBS | National Planning Commission Secretariat, Government of Nepal |
Questionnaires
Questionnaires
The questionnaire consists two parts:
Part 1: Detailed Information on Damage Assessment of Residential Buildings
1.1. Introductory Details
1.2. House owner information
1.3. Building Information
Part 2: Demographic and Socio-Economic Informations
2.1. Detail of household head
2.2. Details of household members
Part 1: Detailed Information on Damage Assessment of Residential Buildings
1.1. Introductory Details
1.2. House owner information
1.3. Building Information
Part 2: Demographic and Socio-Economic Informations
2.1. Detail of household head
2.2. Details of household members
Data Processing
Data Editing
Computer Assisted Personal Interview (CAPI) was used for the first time in the history of data collection by CBS. The CAPI application to be used in the TABLET for data collection was prepared by a local software developer contracted by UNOPS. The application was prepared by using ODK (Open Data Kit) platform. Such data collected in the field was sent instantly to the central server of CBS housed at Government Integrated Data Center (GIDC) through the mobile network in the TABLET or WIFI.
The data processing and analysis of this survey took relatively much shorter time as compared to other paper and pen based surveys of CBS. The data management team at CBS had to daily carry out tabulation of the data uploaded at the server. The “FLAT” data that was downloaded from the server was first converted to “csv” format and it was imported to STATA and SPSS for further analysis.
The final cleaned data set was transferred to Department of Civil Registration, MoFALD and appropriate access mechanisms were set up for NRA to use them timely.
The data processing and analysis of this survey took relatively much shorter time as compared to other paper and pen based surveys of CBS. The data management team at CBS had to daily carry out tabulation of the data uploaded at the server. The “FLAT” data that was downloaded from the server was first converted to “csv” format and it was imported to STATA and SPSS for further analysis.
The final cleaned data set was transferred to Department of Civil Registration, MoFALD and appropriate access mechanisms were set up for NRA to use them timely.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | Central Bureau of Statistics | dg@cbs.gov.np | www.cbs.gov.np |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director of Publication, Dissemination and Library Section | Central Bureau of Statistics | archive@cbs.gov.np | www.cbs.gov.np |
Confidentiality
Confidentiality of the respondents is guaranteed by article 8 of Statistics Act 1958.
Restriction on publication of information and details
Any information or details relating to any person, family, firm or company, which have been supplied, obtained or prepared pursuant to Section 3 or Section 4 or Section 5 or Section 6 or Section 7 or any part of such information or details, shall not be disclosed or published directly except to the Director General or to any other officer of the Bureau without the written permission of the person or of his or her authorized representative supplying such information or details.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset from CBS premises. It is accessible to all users for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Central Bureau of Statistics.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CBS.
4. No attempt will be made to produce links among datasets provided by the CBS or among data from the CBS and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the CBS will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the CBS.
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Central Bureau of Statistics.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CBS.
4. No attempt will be made to produce links among datasets provided by the CBS or among data from the CBS and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the CBS will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the CBS.
Citation requirements
Central Bureau of Statistics (CBS), Nepal. Household Resistration for Housing Reconstruction Survey (HRHRS), 2016. Dataset downloaded from National Data Archive (NADA): http://cbs.gov.np/nada/index.php/catalog on [date], or CBS premises on [date].
Disclaimer and copyrights
Disclaimer
The Central Bureau of Statistics, Nepal bears no responsibility for any outcomes or for interpretations or inferences arising from the use of the dataset, or use of the information provided on the study.
Copyright
(c) 2017, Central Bureau of Statistics, Government of Nepal
Metadata production
DDI Document ID
DDI-NPL-CBS-HRHRS-2016-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Central Bureau of Statistics | CBS | National Planning Commission Secretariat, Government of Nepal | Documentation of the study |
Date of Metadata Production
2017-07-09
DDI Document version
Version 01 (July 2017): Original documentation of the study.