Household Risk and Vulnerability Survey, Full Panel 2016-2018
Nepal, 2016 - 2018
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NPL_2016-2018_HRVS_v02_M
Household Risk and Vulnerability Survey, Full Panel 2016-2018
| Name | Country code |
|---|---|
| Nepal | NPL |
Income/Expenditure/Household Survey [hh/ies]
The objective of the three-year Nepal Household Risk and Vulnerability panel survey is to provide the Government of Nepal with empirical evidence on the patterns of exposure to shocks at the household level and on the vulnerability of households' welfare to these shocks. It covers 6,000 households and 400 communities in non-metropolitan areas of Nepal.
The survey helps address the following research questions:
- What significant adverse events (both anticipated and unanticipated) are faced by households during a given year?
- What strategies do households employ, and what systems of informal support do they rely on (ex-ante and ex-post) to cope with these events?
- How are households' short- and medium-term welfare affected by these events?
- What formal government assistance do households receive? Is it sufficient to help them cope?
Sample survey data [ssd]
Households
Community (ward)
Version
-v01: Edited datasets for public distribution.
2021-09
Version Update
In wave 1, value labels for s05q10 have been updated.
In waves 2 and 3, response options for variables s05q11b, s05q12, s05q13, s05q14, s05q15, s05q16, s05q17, s05q18, and s05q19 have been updated to reflect the four-point scale in which these questions were asked. The response options are 'never, rarely, sometimes, often.” Previously, these variables were in “Yes/No” format.
Scope
The scope of the 2016-2018 Nepal Household Risk and Vulnerability Panel Survey includes the following topics:
COMMUNITY
- Participants detail
- Community characteristics / Access to facilities
- Access to facilities
- Educational facilities
- Community shocks, household shocks
- Market price
HOUSEHOLD
- Informed consent
- Education
- Health
- Housing and access to facilities
- Food expenses and home production
- Non-food expenditures and inventory of durable goods
- Jobs and time use
- Wage jobs
- Farming and livestock
- Non-agriculture enterprises/activities
- Migration
- Credit, savings, and financial assets
- Private assistance
- Public assistance
- Shocks
- Anthropometrics (less than 5 years)
- Perception on respondent intent and attention
Coverage
A random PPS sample of all non-metropolitan areas in Nepal, where 'non-metropolitan' is as defined by the 2010 Census. The sampling followed the district/VDC administrative structure existing until 2017.
Household
Community (PSUs)
All households in non-metropolitan areas per the 2010 Census definition, excluding households in the Kathmandu valley (Kathmandu, Lalitpur and Bhaktapur districts).
Producers and sponsors
| Name |
|---|
| The World Bank |
| Name | Affiliation |
|---|---|
| Thomas Walker | The World Bank |
| Hanan Jacoby | The World Bank |
| Name | Role |
|---|---|
| UK Department for International Development | Financing |
| Name | Role |
|---|---|
| Full Bright (Pvt) Ltd | Survey Firm |
Sampling
The sample frame was all households in non-metropolitan areas per the 2010 Census definition, excluding households in the Kathmandu valley (Kathmandu, Lalitpur and Bhaktapur districts). The country was segmented into 11 analytical strata, defined to correspond to those used in the NLSS III (excluding the three urban strata used there). The allocation of districts to strata are indicated in the Section_0 file of each wave. To increase the concentration of sampled households, 50 of the 75 districts in Nepal were selected with probability proportional to size (the measure of size being the number of households). PSUs were selected with probability proportional to size from the entire list of wards in the 50 selected districts, one stratum at a time. The number of PSUs per stratum is proportional to the stratum's population share and corresponds closely to the allocations used in the LFS-II and NLSS-III (adjusted for different overall numbers of PSUs in those surveys). In each of the selected PSUs (administrative wards), survey teams compiled a list of households in the ward based on existing administrative records and cross-checked with local leaders. The number of households shown in the list was compared to the ward population in the 2010 Census, adjusted for likely population growth. Where the listed population deviated by more than 10% from the projected population based on the census data, the team conducted a full listing of households in the ward. 15 households were selected at random each ward list for interviewing, and a further 5 households were selected as potential replacements.
During the fieldwork, one PSU in Lapu VDC was inaccessible due to weather, and was replaced by a ward in Hastichaur VDC using PPS sampling on that stratum (excluding the already selected PSUs). All other sampled PSUs were reached and retained throughout the three-year study period.
Response rates were high, with 5,654 (94%) of the 6,000 Wave 1 households participating in all three waves. In Wave 2, a sample of 6,005 households were interviewed, of which 5,835 (97%) were households from Wave 1, and 165 (3%) were new households added to replace Wave 1 households that could not be reached. Additionally, five households that had split since Wave 1 were also interviewed. In Wave 3, a sample of 6,051 households were interviewed. The number was higher because some households interviewed in Wave 1 but not in Wave 2 were reached again in Wave 3. Of the 6,051 households, 192 were replacement households and four were split households. The majority of non-response was explained by respondents not being located or having migrated.
Household-level sampling weights (wt_hh) are provided in the Section_0 file of each wave. These weights were constructed based on ward-level household population data from the 2011 Census following the sampling procedure outlined above.
Survey instrument
Community Questionnaire:
The community questionnaire was fielded to a senior community representative at the VDC level in each of the 400 PSUs. The purpose of the community questionnaire was to obtain further details on access to services in each PSU, to gather information on shocks at the community level, and to collect market price data. The questionnaire included the following 6 modules:
- Respondent details
- Community characteristics
- Access to facilities
- Educational facilities
- Community shocks, household shocks
- Market price
Household Questionnaire:
The style of questions for the household questionnaire was kept similar to those used in the NLSS-III questionnaire for comparability reasons. In some cases, new modules needed to be developed. The shocks questionnaire was developed by the World Bank team. A food security module was added based on the design recommended by USAID, and a psychosocial questionnaire was also developed by social development specialists in the World Bank. The section on government and other assistance was also redesigned to cover a broader range of programs and elicit information on details such as experience with enrollment and frequency of payment. The household questionnaire included the following 16 modules:
- Informed consent
- Education
- Health
- Housing and access to facilities
- Food expenses and home production
- Non-food expenditures and inventory of durable goods
- Jobs and time use
- Wage jobs
- Farming and livestock
- Non-agriculture enterprises/activities
- Migration
- Credit, savings, and financial assets
- Private assistance
- Public assistance
- Shocks
- Anthropometrics (less than 5 years)
- Perception on respondent intent and attention
Data collection
| Start | End | Cycle |
|---|---|---|
| 2016-06-05 | 2016-08-21 | Wave 1 |
| 2017-06-12 | 2017-08-14 | Wave 2 |
| 2018-06-10 | 2018-08-22 | Wave 3 |
The data was collected annually for three waves.
- Computer Assisted Personal Interview [capi]
Among the field teams, the field supervisor was responsible for coordinating, supervising, and monitoring the field work. As well as, completing the community questionnaires, checking the filled-in questionnaires, doing real-time corrections, and supervising data entry activities.
During each survey wave, the interviewers were supervised on-site and online by supervisors. Simultaneously, the field work was constantly supervised and monitored by the core team members. Besides the core team members supervision was carried out by the World Bank staff. In addition to the field supervisors, Full Bright and The World Bank both assigned traveling field supervisors to visit each team at least one per wave, to review field practices and address any issues.
In addition, the data management team at the headquarters closely monitored the quantity and the quality of the field enumeration and the field staff were given timely instructions as and when needed.
The field staff, consisting of the supervisors and the interviewers. Each were selected based on their academic background, field work experience, and personal interview. For household and community data collection, teams composed of 4-6 members and led by one supervisor, were assigned in the field. The teams were assigned for given cluster of districts/PSUs. Teams were formed to balance the workload and travel time among the teams. Each team was equipped with a laptop computer, one tablet with each interviewer, instruments for measuring height and weight of children, code sheet, supervisor's/interviewer's field guide and other logistics required in the field. The primary job of the interviewer was to complete the household questionnaire after interviewing the household head or other relevant member(s) of the household. They were also assigned to measure the height and weight of children (up to 60 months of age) in the interviewed household.
The supervisors and the interviewers were trained for 12 days jointly for basic skills and concepts used in the questionnaires. A separate 3-day training session was held for supervisors to address skills required for household listing, supervision, and administering community questionnaires.
Data collection was carried out over a period of 9 weeks beginning June to August for each wave.
Data processing
After the data collection was complete, data cleaning started in HQ. During data cleaning the following actions were carried out:
- Different Versions of HH Questionnaires were appended
- Variables were labelled
- Data exported to STATA
- Responses were checked under possible responses (by do files) and extreme values were verified and checked by back check-calls
- Answers to open ended questions were translated
Cleaned data set was submitted to the World Bank Team for further analysis.
Depositor information
| Name | Affiliation |
|---|---|
| Thomas Walker | The World Bank |
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Confidential data such as names, phone numbers, addresses, and GPS coordinates have been redacted in accordance with the ethics procedures adopted for the study and approved by the Nepal Health Research Council (NHRC). |
Prospective users are kindly requested to email the listed World Bank Contacts and provide a brief description of the planned use of the data, as well as share copies of any publications created with the data.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Thomas Walker, Hanan Jacoby, Social Protection and Jobs Global Practice (World Bank). Nepal Household Risk and Vulnerability Survey (HRVS) 2016 - 2018, Ref. NPL_2016-2018_HRVS_v02_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
The World Bank Group, 2020.
Contacts
| Name | Affiliation | |
|---|---|---|
| Thomas Walker | World Bank | twalker@worldbank.org |
| Hanan Jacoby | World Bank | hjacoby@worldbank.org |
Metadata production
DDI_NPL_2016-2018_HRVS_v02_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentaiton of the Study |
2020-03-18
Metadata version
Version 02 (September 2021)
Identical to Version 01 (March 2020) with revisions the value labels in Section 5b for waves 1-3.