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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2012-2013_GHS-W2_V01_EN_M_V01_A_OCS
agricultural-surveys

General Household Survey, Panel 2012-2013

Nigeria, 2012 - 2013
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Reference ID
NGA_2012-2013_GHS-W2_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 09, 2020
Last modified
Nov 08, 2022
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA_2012-2013_GHS-W2_v01_EN_M_v01_A_OCS

    Title

    General Household Survey, Panel 2012-2013

    Country
    Name Country code
    Nigeria NGA
    Study type

    Living Standards Measurement Study [hh/lsms]

    Series Information

    This General Household Survey-Panel is the second round of Panel surveys, previously conducted in 2011/2012 of a long-term project to collect panel data on households, their characteristics, welfare and their agricultural activities. The survey is the result of a partnership that NBS has established with 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). Under this partnership, a method to collect agricultural and household data in such a way as to allow the study of agriculture's role in household welfare over time was developed.

    The GHS-Panel is the first panel survey to be carried out by NBS.

    Abstract

    In the past decades, Nigeria has experienced substantial gaps in producing adequate and timely data to inform policy making. In particular, the country is lagging behind in producing sufficient and accurate agricultural production statistics. The current set of household and farm surveys conducted by the NBS covers a wide range of sectors. Except for the Harmonized National Living Standard Survey (HNLSS) which covers multiple topics, these different sectors are usually covered in separate surveys none of which is conducted as a panel. As part of the efforts to continue to improve data collection and usability, the NBS has revised the content of the annual General household survey (GHS) and added a panel component. The GHS-Panel is conducted every 2 years covering multiple sectors with a focus to improve data from the agriculture sector.

    The Nigeria General Hosehold Survey-Panel, is the result of a partnership that NBS has established with the Federal Ministry of Agriculture and Rural Development (FMARD), the National Food Reserve Agency (NFRA), the Bill and Melinda Gates Foundation (BMGF) and the World Bank (WB). Under this partnership, a method to collect agricultural and household data in such a way as to allow the study of agriculture's role in household welfare over time was developed. This GHS-Panel Survey responds to the needs of the country, given the dependence of a high percentage of households on agriculture activities in the country, for information on household agricultural activities along with other information on the households like human capital, other economic activities, access to services and resources. The ability to follow the same households over time, makes the GHS-Panel a new and powerful tool for studying and understanding the role of agriculture in household welfare over time as it allows analyses to be made of how households add to their human and physical capital, how education affects earnings and the role of government policies and programs on poverty, inter alia.

    The objectives of the survey are as follows

    1. Allowing welfare levels to be produced at the state level using small area estimation techniques resulting in state-level poverty figures
    2. With the integration of the longitudinal panel survey with GHS, it will be possible to conduct a more comprehensive analysis of poverty indicators and socio-economic characteristics
    3. Support the development and implementation of a Computer Assisted Personal Interview (CAPI) application for the paperless collection of GHS
    4. Developing an innovative model for collecting agricultural data
    5. Capacity building and developing sustainable systems for the production of accurate and timely information on agricultural households in Nigeria.
    6. Active dissemination of agriculture statistics

    The second wave consists of two visits to the household: the post-planting visit occurred directly after the planting season to collect information on preparation of plots, inputs used, labour used for planting and other issues related to the planting season. The post-harvest visit occurred after the harvest season and collected information on crops harvested, labour used for cultivating and harvest activities, and other issues related to the harvest cycle.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Scope

    Notes

    The 2012-13 Nigeria General Household Survey (Panel) covered the following topics:

    HOUSEHOLD (Post Planting and Harvest)

    • Household identification including geographic area identification information
    • Household roster
    • Education
    • Labor
    • Labor option
    • Credit and savings
    • Financial capability
    • Household assets
    • Non-farm enterprise and income generating activities
    • Meals outside the home
    • Food consumption and expenditure
    • Non-food expenditure
    • Food security
    • Other household income

    AGRICULTURE (Post Planting and Harvest)

    • Household identification including geographic area identification information
    • Plot roster
    • Land inventory
    • Land tenure
    • Planting labor
    • Input costs
    • Fertilizer acquisition
    • Seed acquisition
    • Planter field crops
    • Marketing of agricultural surplus
    • Animal Holdings
    • Animal costs
    • Agriculture by-product
    • Extension service

    COMMUNITY

    • Community identification
    • Respondent characteristics
    • Food prices
    • Labor
    • Land prices and credit
    Topics
    Topic Vocabulary URI
    consumption/consumer behaviour [1.1] CESSDA http://www.nesstar.org/rdf/common
    economic conditions and indicators [1.2] CESSDA http://www.nesstar.org/rdf/common
    income, property and investment/saving [1.5] CESSDA http://www.nesstar.org/rdf/common
    agricultural, forestry and rural industry [2.1] CESSDA http://www.nesstar.org/rdf/common
    business/industrial management and organisation [2.2] CESSDA http://www.nesstar.org/rdf/common
    working conditions [3.6] CESSDA http://www.nesstar.org/rdf/common
    domestic political issues [4.2] CESSDA http://www.nesstar.org/rdf/common
    specific diseases and medical conditions [8.9] CESSDA http://www.nesstar.org/rdf/common
    plant and animal distribution [9.4] CESSDA http://www.nesstar.org/rdf/common
    land use and planning [10.2] CESSDA http://www.nesstar.org/rdf/common
    specific social services: use and provision [15.3] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    National Coverage

    Universe

    Agricultural farming household members.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN)
    Producers
    Name Affiliation Role
    Federal Ministry of Agriculture and Rural Development Federal Governent of Nigerian (FGN) Technical Assistance
    National Food Reserve Agency Federal Governent of Nigerian (FGN) Technical Assistance
    Funding Agency/Sponsor
    Name Role
    Federal Government of Nigeria Funding
    The World Bank Funding
    Bill and Melinda Gates Foundation Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Federal Ministry of Water Resources FMWR Technical Assistance
    Federal Department of Agricultural Extension FDAE Technical Assistance

    Sampling

    Sampling Procedure

    The sample is designed to be representative at the national level as well as at the zonal (urban and rural) levels. The sample size of the GHS-Panel (unlike the full GHS) is not adequate for state-level estimates.

    The sample is a two-stage probability sample:

    First Stage:
    The Primary Sampling Units (PSUs) were the Enumeration Areas (EAs). These were selected based on probability proportional to size (PPS) of the total EAs in each state and FCT, Abuja and the total households listed in those EAs. A total of 500 EAs were selected using this method.

    Second Stage:
    The second stage was the selection of households. Households were selected randomly using the systematic selection of ten (10) households per EA. This involved obtaining the total number of households listed in a particular EA, and then calculating a Sampling Interval (S.I) by dividing the total households listed by ten (10). The next step was to generate a random start 'r' from the table of random numbers which stands as the 1st selection. Consecutive selection of households was obtained by adding the sampling interval to the random start.

    Determination of the sample size at the household level was based on the experience gained from previous rounds of the GHS, in which 10 households per EA are usually selected and give robust estimates.

    In all, 500 clusters/EAs were canvassed and 5,000 households were interviewed. These samples were proportionally selected in the states such that different states had different samples sizes depending on the total number of EAs in each state.

    Households were not selected using replacement. Thus the final number of household interviewed was slightly less than the 5,000 eligible for interviewing. The final number of households interviewed was 4,986 for a non-response rate of 0.3 percent. A total of 27,533 household members were interviewed. In the second, or Post-Harvest Visit, some household had moved as had individuals, thus the final number of households with data in both points of time (post planting and post harvest) is 4,851, with 27,993 household members.

    Response Rate

    The response rate was very high. Response rate after field work was calculated to be 93.9% while attrition rate was 6.1% for households. During the tracking period, 52.4% of the attrition was tracked while at the end of the whole exercise, the response rate was: Post Harvest: 97.1%

    Weighting

    A population weight was calculated for the panel households. This weight variable (wght) has been included in the household dataset: Section A (secta_plantingw1 for post-planting and secta_harvestw1 for post-harvest). When applied, this weight will raise the sample households and individuals to national values adjusting for population concentrations in various areas.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2012-09 2012-11 Post- Planting
    2013-02 2013-04 Post- Harvest

    Data processing

    Data Editing

    Data Entry
    This survey used a 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, 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.

    The data cleaning process was done in a number of stages. The first step was to ensure proper quality control during the fieldwork. This was achieved in part by using the concurrent data entry system which was, as explained above, designed to highlight many of the errors that occurred during the fieldwork. Errors that are caught at the fieldwork stage are corrected based on re-visits to the household on the instruction of the supervisor. The data that had gone through this first stage of cleaning was then sent from the state to the head office of NBS where a second stage of data cleaning was undertaken.

    During the second stage the data were examined for out of range values and outliers. The data were also examined for missing information for required variables, sections, questionnaires and EAs. Any problems found were then reported back to the state where the correction was then made. This was an ongoing process until all data were delivered to the head office.

    After all the data were received by the head office, there was an overall review of the data to identify outliers and other errors on the complete set of data. Where problems were identified, this was reported to the state. There the questionnaires were checked and where necessary the relevant households were revisited and a report sent back to the head office with the corrections.

    The final stage of the cleaning process was to ensure that the household- and individual-level data sets were correctly merged across all sections of the household questionnaire. Special care was taken to see that the households included in the data matched with the selected sample and where there were differences these were properly assessed and documented. The agriculture data were also checked to ensure that the plots identified in the main sections merged with the plot information identified in the other sections. This was also done for crop- by-plot information as well.

    Data appraisal

    Estimates of Sampling Error

    No sampling error

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes The confidentiality of the individual respondent is protected by law (Statistical Act 2007). This is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act.
    Access conditions

    A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007 outlines the data access obligation of data producers which includes the release of properly anonymized micro 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:

    Nigeria National Bureau of Statistics (NBS). Nigeria General Household Survey, Panel 2012-2013, Wave 2. Ref. NGA_2012_GHSP-W2_v02_M. Dataset downloaded from http://go.worldbank.org/BY4SLL0380 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.

    Contacts

    Contacts
    Name Affiliation Email URL
    Statistician General National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    Director of ICT National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    Deputy-Director: Household Statistics Division National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    Consultant World Bank [email protected] http://www.nigerianstat.gov.ng
    Head: Data Management Division National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    Head: Systems Programming National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    Data Archivist National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    National Bureau of Statistics National Bureau of Statistics [email protected] http://www.nigerianstat.gov.ng
    LSMS Data Manager The World Bank [email protected] http://go.worldbank.org/QJVDZDKJ60

    Metadata production

    DDI Document ID

    DDI_NGA_2012-2013_GHS-W2_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Metadata adapted for FAM
    National Bureau of Statistics Federal Government of Nigeria Metadata Producer
    World Bank, Development Data Group The World Bank Reviewed the metadata

    Metadata version

    DDI Document version

    NGA_2012-2013_GHS-W2_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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