General Household Survey, Panel 2015-2016, Wave 3
Nigeria, 2015 - 2016
Get MicrodataIdentification
NGA_2015_GHSP-W3_v02_M
General Household Survey, Panel 2015-2016
Wave 3
| Name | Country code |
|---|---|
| Nigeria | NGA |
Living Standards Measurement Study [hh/lsms]
The Nigeria General Household Survey panel component (GHS-Panel) is part of a larger, regional project in Sub-Saharan Africa to improve agricultural statistics. This panel study is the result of a partnership between NBS, the Federal Ministry of Agriculture and Rural Development(FMA&RD), the National Food Reserve Agency (NFRA), the Bill and Melinda Gates Foundation (BMGF) and the World Bank (WB). The GHS-Panel is a nationally representative survey of approximately 5,000 households.
The 2015-16 GHS-Panel is the third wave, the previous two waves were conducted in 2010-11 and 2012-13.
The Nigerian General Household Survey (GHS) is implemented in collaboration with the World Bank Living Standards Measurement Study (LSMS) team as part of the Integrated Surveys on Agriculture (ISA) program and was revised in 2010 to include a panel component (GHS-Panel). The objectives of the GHS-Panel include the development of an innovative model for collecting agricultural data, inter-institutional collaboration, and comprehensive analysis of welfare indicators and socio-economic characteristics. The GHS-Panel is a nationally representative survey of 5,000 households, which are also representative of the geopolitical zones (at both the urban and rural level). The households included in the GHS-Panel are a sub-sample of the overall GHS sample households.
GHS-Panel households were visited twice: first after the planting season (post-planting) between August and October and second after the harvest season (post-harvest) between February and April. All households were visited twice regardless of whether they participated in agricultural activities. Some important factors such as labour, food consumption, and expenditures were collected during both visits.
Sample survey data [ssd]
- Household
- Individual
- Community
Version
Version 02:
Data revision includes:
- ag_conv_w3.dta
- food_conv_w3.dta
- HHTrack.dta
- secta_harvestw3.dta
- secta_plantingw3.dta
Additional data includes:
- cons_agg_wave3_visit1.dta
- cons_agg_wave3_visit2.dta
Scope
The 2015-16 Nigeria General Household Survey (GHS -Panel) covered the following topics:
HOUSEHOLD (Post Planting and Harvest)
- Household identification including geographic area identification information
- Household roster
- Education (post harvest only)
- Labor (all individuals 5 years and above)
- Health (post harvest only)
- Child development (post harvest only)
- Remittances (post harvest only)
- Behavior (post harvest only)
- Attitude (post harvest only)
- Saving and insurance (post planting)
- ICT, mobile phone banking (post planting)
- Credit (post planting)
- Household assets (post planting)
- Meals away from home (past 7 days)
- Food expenditure (past 7 days)
- Non-food expenditure (past 7 days /one month recall/ six month recall)
- Aggregate food consumption (post harvest only)
- Food security
- Non-farm enterprises and income generating activities (post harvest only)
- Other household income (post harvest only)
- Housing (post planting)
- Safety nets (post harvest only)
- Economic shocks (post harvest only)
- Deaths (post harvest only)
- Conflict (post harvest only)
AGRICULTURE (Post Planting and Harvest)
- Household identification including geographic area identification information
- Plot roster
- Land inventory
- Labor
- Seed acquisition (post planting)
- Land tenure (post planting)
- Planting labor (post planting)
- Input costs
- Fertilizer acquisition
- Planted field and tree crops (post planting)
- Crop harvest (post harvest only)
- Crop disposition (post harvest only)
- Agricultural capital (post harvest only)
- Animal Holdings (post planting)
- Animal costs (post planting)
- Agriculture by-product (post planting)
- Extension service
- Other agricultural income (post harvest only)
- Fishing (post harvest only)
- Fishing capital and revenue (post harvest only)
- Network roster
COMMUNITY (Post Planting and Harvest)
- Community identification
- Respondent characteristics
- Community infrastructure and transportation (post harvest only)
- Community organizations (post harvest only)
- Community resource management (post harvest only)
- Community changes (post harvest only)
- Community key events (post harvest only)
- Conflict (post harvest only)
- Community needs, actions and achievements (post harvest only)
- Food prices
- Labor (post planting)
- Land prices and credit (post planting)
Coverage
National coverage
North-Central Zone North-East Zone North-West Zone South-East Zone South-South Zone South-West Zone
The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria |
| Name | Role |
|---|---|
| World Bank | Collaborated in the implementation of the survey |
| Name | Role |
|---|---|
| Bill and Melinda Gates Foundation | Funded the study |
| Federal Government of Nigeria | Funded the study |
| Name | Affiliation | Role |
|---|---|---|
| Federal Ministry of Agriculture and Rural Development | FMA&RD | Technical assistance |
| National Food Reserve Agency | NFRA |
Sampling
A multi-stage stratified sample design was used for the GHS and the Panel Survey. The GHS-Panel sample is fully integrated with the 2010 GHS Sample. The GHS sample is comprised of 60 Primary Sampling Units (PSUs) or Enumeration Areas (EAs) chosen from each of the 37 states in Nigeria, a total of 2220 EAs nationally. Each EA contributes 10 households to the GHS sample, resulting in a sample size of 22,200 households. Out of these 22,000 households, 5,000 households from 500 EAs were selected for the panel component and 4,916 households completed their interviews in the first wave. Given the panel nature of the survey, some households had moved from their location and were not able to be located by the time of the Wave 3 visit, resulting in a slightly smaller sample of 4,581 households for Wave 3.
For further details of the sample design, see Section 1.2 of the final report.
Survey instrument
The GHS-Panel Wave 3 consists of three questionnaires for each of the two visits. The Household Questionnaire was administered to all households in the sample. The Agriculture Questionnaire was administered to all households engaged in agricultural activities such as crop farming, livestock rearing and other agricultural and related activities. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.
GHS-Panel Household Questionnaire: The Household Questionnaire provides information on demographics; education; health (including anthropometric measurement for children and child immunization); labour and labour data collection options; food and non-food expenditure; household nonfarm income-generating activities; food security and shocks; safety nets; housing conditions; assets; information and communication technology; and other sources of household income. Household location is geo-referenced in order to be able to later link the GHS-Panel data to other available geographic data sets. The labour module of the Household Questionnaire introduced four different variants to test the sensitivity of labour statistics to how labour modules are designed.
GHS-Panel Agriculture Questionnaire: The Agriculture Questionnaire solicits information on land ownership and use; farm labour; inputs use; GPS land area measurement and coordinates of household plots; agricultural capital; irrigation; crop harvest and utilization; animal holdings and costs; and household fishing activities.
GHS-Panel Community Questionnaire: The Community Questionnaire solicits information on access to infrastructure; community organizations; resource management; changes in the community; key events; community needs, actions and achievements; and local retail price information.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2015-09 | 2015-11 | Post-planting |
| 2016-02 | 2016-04 | Post-harvest |
| Name | Affiliation |
|---|---|
| National Bureau of Statistics | Federal Government of Nigeria |
Data were collected by teams consisting of a supervisor, between 2 and 4 interviewers, and a data entry operator. The number of teams varied from state to state depending on the sample size or number of EAs selected. The teams moved in a roving manner and data collection lasted for between 20 - 30 days for each of the post-planting and post-harvest visits.
The GHS-Panel Wave 3 was administered in two visits: post-planting (September - November 2015) and post-harvest (February - April 2016). A tracking phase was conducted after both visits in October-November 2015 and April-May 2016 to interview households that had moved from their location in the previous visit (Wave 1 or Wave 2) or had moved between Visit 1 and Visit 2 in Wave 3.
For further details on the structure of the visits see Section 7 in the Basic Information Document.
Data processing
Data Entry
The household and agricultural components of the survey were conducted using concurrent data entry approach. In this method, the fieldwork and data entry were handled by each team assigned to the state. Each team consisted of a field supervisor, 2-4 interviewers and a data entry operator. Immediately after the data were collected in the field by the interviewers and supervisors (the supervisors administered the community questionnaires and collected data on prices), the questionnaires were handed over to the supervisor to be checked and documented. At the end of each day of fieldwork, the questionnaires were then passed to the data entry operator for entry. After the questionnaires were entered, the data entry operator generated an error report which reported issues including out of range values and inconsistencies in the data. The supervisor then checked the report, determined what should be corrected, and decided if the field team needed to revisit the household to obtain additional information. The benefits of this method are that it allows one to:
- Capture errors that might have been overlooked by a visual inspection only,
- Identify errors early during the field work so that if any correction required a revisit to the household, it could be done while the team was still in the EA
The CSPro software was used to design the specialized data entry program that was used for the data entry of the questionnaires.
Data Access
| Name | URL |
|---|---|
| World Bank Microdata Library | microdata.worldbank.org |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. |
- Public use files, accessible to all
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
Nigeria National Bureau of Statistics. General Household Survey, Panel (GHS-Panel) 2015-2016 . Ref. NGA_2015_GHSP-W3_v02_M. Dataset downloaded from www.microdata.worldbank.org 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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | lsms@worldbank.org | surveys.worldbank.org/lsms |
| The World Bank Microdata Library | microdata.worldbank.org |
Metadata production
DDI_NGA_2015_GHSP-W3_v02_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Documentation of the DDI |
Metadata version
Version 02 (January 2019)