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    Home / Central Data Catalog / AGRIC / NGA-NASCPILOT-CROP-2007-V1.0
AGRIC

National Agricultural Sample Census Pilot (Private Farmer) Crop-2007
Second round

Nigeria, 2007
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Reference ID
NGA-NASCPILOT-CROP-2007-v1.0
Producer(s)
National Bureau of Statistics(NBS)
Collections
AGRICULTURE AND FOOD SECURITY
Metadata
DDI/XML JSON
Created on
Oct 18, 2010
Last modified
Dec 02, 2013
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA-NASCPILOT-CROP-2007-v1.0

    Title

    National Agricultural Sample Census Pilot (Private Farmer) Crop-2007

    Subtitle

    Second round

    Abbreviation or Acronym

    NASCPILOT-CROP-2007

    Translated Title

    No translation

    Country
    Name Country code
    Nigeria NGA
    Study type

    Agricultural Census [ag/census]

    Series Information

    Nigeria conducted the last round of the Agricultural Census in 1993/94. Since 1993/94 the Agricultural data situation in Nigeria has slid backward and can best be described as weak. There was lack of inter-censual surveys to update the census, hence the need to address the weak agricultural situation in the country.

    There is a strong need to collect current base-line data on the structure and character of agriculture in Nigeria and to disaggregate agricultural data to address planning on the various Governments reform agenda on agriculture, poverty and food security.

    The NASC will address the weakness in Agricultural Statistics production in Nigeria. National Agricultural Sample Census (NASC) will also cover the 36 States including the FCT Abuja and the 774 LGAs.

    Abstract

    The main objective of the Pilot Survey was to test the adequacy of the survey instruments, equipments and administration of questionnaires, data processing arrangement and report writing. The Pilot survey conducted in July 2007 covered the two NBS survey system-the National Integrated Survey of Households (NISH) and National Integrated Survey of Establishment (NISE). The survey instruments were designed to be applied using the two survey systems while the use of Geographic Positioning System (GPS) was introduced as additional new tool for implementing the project.

    The programme for the World Census of Agriculture 2000 is the eighth in the series for promoting a global approach to agricultural census taking. The first and second programmes were sponsored by the International Institute for Agriculture (IITA) in 1930 and 1940. Subsequent ones up to 1990 were promoted by (FAO). Food and Agriculture Organization of the United Nations recommends that each country should conduct at least one agricultural census in each census programme decade and its programme for the World Census of Agriculture 2000 for instance corresponds to Agricultural Census to be undertaken during the decade 1996 to 2005. Many countries do not have sufficient resources for conducting an agricultural census. It therefore became an acceptable practice since 1960 to conduct agricultural census on sample basis for those countries lacking the resources required for a complete enumeration.

    In Nigeria's case, a combination of complete enumeration and sample enumeration is adopted whereby the rural (peasant) holdings are covered on sample basis while the modern holdings are covered on complete enumeration. The project named "National Agricultural Sample Census" derives from this practice. Nigeria through the National Agricultural Sample Census (NASC) participated in the 1970's, 1980's, 1990's programmes of the World Census of Agriculture. Nigeria failed to conduct the Agricultural Census in 2003/2004 because of lack of funding.

    The NBS regular annual agriculture surveys since 1996 had been epileptic and many years of backlog of data set are still unprocessed. The baseline agricultural data is yet to be updated while the annual regular surveys suffered set back. There is an urgent need by the Governments (Federal, State, LGA), sector agencies, FAO and other International Organizations to come together to undertake the agricultural census exercise which is long overdue. The conduct of 2006/2008 National Agricultural Sample Census Survey is now on course with the pilot exercise carried out in the third quarter of 2007.

    The National Agricultural Sample Census (NASC) 2006/08 is imperative to the strengthening of the weak agricultural data in Nigeria. The project is phased into three sub-projects for ease of implementation; the Pilot Survey, Modern Agricultural Holding and the Main Census. It commenced in the third quarter of 2006 and to terminate in the first quarter of 2008. The pilot survey was implemented collaboratively by National Bureau of Statistics.

    The Stakeholders workshop held at Kaduna on 21st-23rd May 2007 was one of the initial bench marks for the take off of the Pilot Survey. The Pilot Survey implementation started with the first level training (Training of Trainers) at the NBS Headquarters between 13th - 15th June 2007. The second level training for all levels of field personnels was implemented at Headquarters of the twelve (12) concerned states between 2nd - 6th July 2007. The field work of the Pilot Survey commenced on the 9th July and ended on the 13th of July 07.
    The CSpro and SPSS were the statistical packages used to develop the data entry programme. The results of the survey are presented in chapter three of this report.

    The owner-like possession was the most common system nationwide with a figure of 2,083,503 (holding) followed by family land 962,233 (holding) while squatter was the least system used 40,473 (holding). Distribution of holding by type of land showed that three types of land-upland, lowland and irrigated were mostly used with irrigated land being the highest 5,825,531 holding followed by lowland 5,320,782 holding and upland 3,070,911 holdings with the highest holding within the age group of 25-44 years. In all states, 2,392,725 males were involved in crop farming while 540,070 females were also paticipating.
    Out of the 11 major crops reported, cassava recorded the highest number of farms 2,649,098 farms, next was maize 2,199,352 and yam 2,042,440 farms while the least was cotton 46,287 farms. Other crops were Beans, Cocoyam, Groundnut, Guinea corn, melon, Millet and Rice.

    Kind of Data

    Census/enumeration data [cen]

    Unit of Analysis

    Household crop farmers

    Version

    Version Description

    Version 1.0 (October, 2009)

    Version Date

    2009-10-20

    Version Notes

    Version 1.0: Data used to generate the tables and the report (June, 2007)
    Further editing on the data set released for public use(October, 2009)

    Scope

    Notes

    Survey was designed to collect data on private farm crop grown in the household.
    Holding identification
    Holding Characteristics
    Access to Land
    Access to Credit and Funds Used
    Production input utilization; quantity and cost
    Sources of inputs/equipment
    Area Harvested.
    Agric Machinery.
    Production.
    Farm Expenditure.
    Processing Facilities.
    Storage Facilities.
    Employment in Agric.
    Farm Expenditure.
    Sales.
    Consumption.
    Market Channels.

    Topics
    Topic Vocabulary URI
    consumption/consumer behaviour [1.1] CESSDA http://www.nesstar.org/rdf/common
    rural economics [1.6] 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
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    working conditions [3.6] CESSDA http://www.nesstar.org/rdf/common
    basic skills education [6.1] CESSDA http://www.nesstar.org/rdf/common
    vocational education [6.7] CESSDA http://www.nesstar.org/rdf/common
    environmental degradation/pollution and protection [9.1] CESSDA http://www.nesstar.org/rdf/common
    natural landscapes [9.2] 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
    TRANSPORT, TRAVEL AND MOBILITY [11] CESSDA http://www.nesstar.org/rdf/common
    gender and gender roles [12.6] CESSDA http://www.nesstar.org/rdf/common
    community, urban and rural life [13.1] CESSDA http://www.nesstar.org/rdf/common
    information technology [16.2] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    State

    Universe

    Crop Farming Household

    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 (FMA&RD) Fedral Government of Nigeria (FGN) collaboration
    Funding Agency/Sponsor
    Name Abbreviation Role
    Federal Government of Nigeria FGN Funding
    European Union EU Funding
    Food And Agricultural Organisation FAO Funding
    United Nations Development Programe UNDP Funding
    United State Department of Authority USDA Funding
    Department for Internation Development DFID Funding
    World Bank WB Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Depertment of Agriculture Nigeria Univercity Technical support
    Farmers assocation Nigeria farmers Technical support

    Sampling

    Sampling Procedure

    12 states were purposely selected in the country.
    2 states from each of the 6 geo-political zones.
    2 LGAs per selected state were studied.
    2 Rural EAs per LGA were covered and
    4 Crop farming Housing Units were systematically selected and canvassed .

    Deviations from the Sample Design

    No deviation

    Response Rate

    The response rate at EA level was 100 percent while 98.44 was achieved at crop farming housing units level

    Weighting

    This survey is pilot so we did not attach weight to the data set.
    Note that our tables on the report were weighted .

    Survey instrument

    Questionnaires

    The questionnaire for the Private Farmers (Holding) is a structured questionnaire based on household characteristics with some modifications and additions.
    The questionnaire contains the following sections.
    Holding identification
    Holding Characteristics
    Access to Land
    Access to Credit and Funds Used
    Production input utilization; quantity and cost
    Sources of inputs/equipment
    Area Harvested.
    Agric Machinery.
    Production.
    Farm Expenditure.
    Processing Facilities.
    Storage Facilities.
    Employment in Agric.
    Farm Expenditure.
    Sales.
    Consumption.
    Market Channels.
    Livestock Farming.
    Fish Farming.

    Methodology notes

    Data entry was done at the HQ since it was a pilot.
    Data were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing. Each cluster goes through the following steps:

    1. Questionnaire reception
    2. Office editing and coding
    3. Data entry
    4. Structure and completeness checking
    5. Verification entry
    6. Comparison of verification data
    7. Back up of raw data
    8. Secondary editing
    9. Edited data back up
      After all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:
    10. Export to SPSS in 4 files
    11. Recoding of variables needed for analysis
    12. Adding of sample weights
    13. Structural checking of SPSS files
    14. Production of analysis tabulations

    Data collection

    Dates of Data Collection
    Start End Cycle
    2007-07-09 2007-07-14 5 Days
    Mode of data collection
    • Face-to-face [f2f]
    Supervision

    The headquarters staff and state officer accompanied one team per day to supervise both the interviewers and supervisors on daily basis. Apart from the daily supervision by the headquarters staff and state officer, they also skim checked all the completed questionnaires.
    The zonal controllers also monitored the field work in their respective zones.

    Two officers were trained in the state. The training was scheduled to last for five days. The Coordinators and Consultants also participated in the training.

    After the training one officer was retained to carry out spot/skim check of records while the other officers returned to Headquarters. Those responsible to do this assignment were staff of NBS and FMA&WR .

    The monitoring and quality check exercise was to last for five days also. Coordinators and Consultants fro the Headquarters participated in the monitoring and quality checks work

    Data Collection Notes

    Four Enumeration areas were canvassed in each state for data collection.

    The period of data collection was for five days by four teams made of two enumerators and one supervisor per team. Eight enumerators and four supervisors will do the work in each state selected .Data to be canvassed are household data namely listing, holding questionnaires, (crop, livestock/poultry and fisheries).

    The objective measurement of the farm using the Global Positioning System was also done. Also the use of our traditional survey FORMS FS1, FS2and YCE was also carried out. This was the National Integrated Survey of Household aspect of the survey.

    A team made up of two enumerators and one supervisor was responsible for data collection. The duration of data collection was five days.

    Data processing

    Data Editing

    The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding.

    Development of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and Census and Surveys Processing System (CSPro) for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation.

    The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise.
    The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data.

    The completed questionnaires were collated and edited manually
    (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry
    (b) Cspro was used to design the data entry template provided as external resource
    (c) Ten operator plus two suppervissor and two progammer were used
    (d) Ten machines were used for data entry
    (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd

    Data appraisal

    Estimates of Sampling Error

    No computation of sampling error

    Data Appraisal

    The Quality Control measures were carried out during the survey, essentially to ensure quality of data.
    There were two levels of supervision involving the supervisors at the first level, NBS State Officers and Zonal Controllers at second level and finally the NBS Headquarters staff constituting the second level supervision.

    Data Access

    Access authority
    Name Affiliation URL Email
    National Bureau of Statistics (NBS) Fedral Government of Nigeria (FGN) http://www.nigerianstat.gov.ng feedback@nigerianstat.gov.ng
    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 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.

    Citation requirements

    National Bureau of Statistics, Nigeria, National Agricultural Sample Cencuse Pilot (Private Farmer) Crop-2007-v1.0

    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.

    Copyright

    © NBS 2009

    Contacts

    Contacts
    Name Affiliation Email URL
    Dr V.O. Akinyosoye Statistician General voakinyosoye@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Dr G.O Adewoye Director Real Sector and Household Statistics Department goadewoye@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr E.O. Ekezie Head of Information and Comnucation Technology Department eekezie@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr E .I. Fafunmi Data Curator biyifafunmi@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr R.F. Busari Head (Systems Programming) rfbusari@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mrs A.A.Akinsanya Data Archivist paakinsanya@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    National Bureau of Statistics Fedral Government of Nigeria (FGN) feedback@nigerianstat.gov.ng http://www.nigerianstat.gov.ng

    Metadata production

    DDI Document ID

    DDI-NGA-NBS-NASCPILOT-CROP-2007-v1.0

    Producers
    Name Abbreviation Affiliation Role
    National Bureau of Statistics NBS Fedral Government of Nigeria (FGN) Data Producer
    Date of Metadata Production

    2009-10-20

    Metadata version

    DDI Document version

    Version 1.0 (October, 2009)

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