Household Risk and Vulnerability Survey 2016-2018
Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
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Metadata
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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Identification
Survey ID Number
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Title
Household Risk and Vulnerability Survey 2016-2018
Country
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Income/Expenditure/Household Survey [hh/ies]
Abstract
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:
a) What significant adverse events (both anticipated and unanticipated) are faced by households during a given year?
b) 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?
c) How are households' short- and medium-term welfare affected by these events?
d) What formal government assistance do households receive? Is it sufficient to help them cope?
a) What significant adverse events (both anticipated and unanticipated) are faced by households during a given year?
b) 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?
c) How are households' short- and medium-term welfare affected by these events?
d) What formal government assistance do households receive? Is it sufficient to help them cope?
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
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
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
Topics
| Topic | Vocabulary |
|---|---|
| Infrastructure | FAO |
| Access to Finance | FAO |
| Migration & Remittances | FAO |
| Payment Systems | FAO |
| Health | FAO |
| Food (production, crisis) | FAO |
| Animal health | FAO |
| Population & Reproductive Health | FAO |
| Social Development | FAO |
Coverage
Geographic Coverage
National level
Universe
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
Primary investigators
| Name |
|---|
| The World Bank |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Thomas Walker | The World Bank | Technical assistance |
| Hanan Jacoby | The World Bank | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| UK Department for International Development | DFID | Financial assistance |
Sampling
Sampling Procedure
The sample frame was segmented into 11 analytical strata, defined to correspond to those used in the Nepal LSS 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 Nepal LSS-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.
Deviations from the Sample Design
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.
Response Rate
94 percent
Weighting
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.
Data Collection
Dates of 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 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Processing
Data Editing
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.
- 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.
Data Appraisal
Data Appraisal
The data was cleaned for spelling errors and translation of Nepali phrases, and suspicious values were checked by calling respondents. Datafiles can be linked within and across waves using the unique household-level identifier HHID, and the unique individual-level identifier, MEMBER_ID. Care was taken to ensure these variables correctly identify the same individual and households across rounds, but researchers should independently check consistency before use. No other transformations have taken place.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Thomas Walker | The World Bank | [email protected] |
| Hanan Jacoby | The World Bank | [email protected] |
Confidentiality
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).
Access conditions
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.
Citation requirements
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_v01_M. Dataset downloaded from [url] on [date].
- 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_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
Disclaimer
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
Metadata production
DDI Document ID
DDI_NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption of metadata for FAM |
| Development Economics Data Group | DECDG | The World Bank | Documentaiton of the Study |
DDI Document version
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS_v01