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National Survey of Agricultural Export Commodities 2003, First Round

Nigeria, 2003 - 2005
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Reference ID
NGA_2003_AGREXP_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
4752
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Distributor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    NGA_2003_AGREXP_v01_M
    Title

    National Survey of Agricultural Export Commodities 2003
    Subtitle

    First Round
    Translated Title

    No translation
    Country
    Name Country code
    Nigeria NGA
    Study type

    Agricultural Survey [ag/oth]
    Series Information

    The National Survey of Agricultural Export Commodities is a joint project of four federal agencies namely, the Central Bank of Nigeria (CBN), Federal Ministry of Agriculture and Rural Development (FMA&RD), Federal Ministry of Commerce (FMC), and National Bureau of Statistics (NBS).

    Funding for the project was initially to be undertaken by the four collaborating agencies in the following proportions: CBN 50%, FMA&RD 20%, FMC 20%, and NBS 10%. After consideration of the financial limitations of the FMA&RD, FMC, and NBS, the Federal Executive Council directed the CBN to fund the project until such a time when the other collaborating agencies would be financially strong enough to contribute their own quotas.

    Four rounds of the National Survey of Agricultural Export Commodities were conducted.
    Abstract

    An 'agricultural export commodity' is defined as an exportable crop that is currently grown in country and has great potential for generating foreign exchange for the nation. The 14 crops under consideration in Nigeria are rubber, coffee, cocoa, sesame seed, garlic, tea, ginger, gum arabic, cashew nut, oil palm, groundnut, cotton, sugarcane and shea nut.

    Nigeria is earning some foreign exchange from the 14 export crops covered in the survey.

    The objective of the survey is to provide a national baseline data on agricultural commodities. Furthermore, the annual survey, among others will help to: 

        1. Provide structural data on agricultural export commodities in Nigeria, 

    2. Obtain socio-economic data and demographic characteristics of holders within households, and

    3. Provide production estimates at national and state levels.
    Kind of Data

    Sample survey data [ssd]
    Unit of Analysis

    Household

    Version

    Version Description

    v01: Edited, anonymous dataset for public distribution.
    Version Date

    2009-02-27
    Version Notes

    General review of the metadata

    Scope

    Notes

    Area of focus for data collection include:

    • Household characteristics

    • Area of production

    • Employment characteristics

    • Farming implements

    • Agronomic practices
    Topics
    Topic Vocabulary URI
    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
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    basic skills education [6.1] CESSDA http://www.nesstar.org/rdf/common
    gender and gender roles [12.6] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    National, state, and sector (urban/rural).
    Universe

    Household export crop farmers and modern agricultural export crop holders.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN)
    Producers
    Name Affiliation Role
    Central Bank of Nigeria Federal Government of Nigeria (FGN) Collaboration
    Federal Ministry of Agriculture and Rural Development Federal Government of Nigeria (FGN) Collaboration
    Federal Ministry of Commerce Federal Government of Nigeria (FGN) Collaboration
    Funding Agency/Sponsor
    Name Role
    National Bureau of Statistics Technical Support
    Central Bank of Nigeria Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Ministries, Depaartments & Agencies MDAs Technical Support

    Sampling

    Sampling Procedure

    The sampling design employed a two-phase, two-stage sample selection procedure.

    Phase 1, stage 1: The listing exercises were conducted during phase 1, stage 1. A total of 192 Local Government Areas (LGAs) were selected throughout the federation and 10 enumeration areas (EAs) were selected in each LGA, totaling 1,920 EAs throughout the country including the Federal Capital Territory (FCT). Most of these LGAs were selected based on the information that they were producing one or more of the 14 selected export crops. No less than three LGAs were selected from each state and FCT.

    Phase 1, stage 2: Ten (10) export crop farming housing units were selected in each EA using a systematic selection approach during phase 1, stage 2. All households in each export crop farming housing unit were administered the holding questionnaires.

    Phase 2, stage 1: During phase 2, stage 1 the crop cutting exercise were conducted, which included the farm survey, laying yield plots, and harvesting. All 10 EAs in each LGA, covered in the first phase, were selected for crop cutting exercises.
    Deviations from the Sample Design

    No deviation.
    Response Rate

    The 2003 Nigeria AGREXP survey achieved a response rate of about 74.86% at the Housing Unit level.

    Reasons for non-response was not given.
    Weighting

    The formula adopted in calculating the sampling weights for the survey data (sample results) were as follows:

    (i) The probability of selecting an EA within a state was obtained by dividing the total number of EAs sampled in a state by total number of EAs in that particular state. Let this be represented by fj. That is fj = (Total Number of EAs sampled in a state)/(Total Number of EAs in that particular State)

    (ii) Likewise, the probability of selecting a housing unit (HU) within an EA was obtained by dividing the total number of housing units selected in an EA by the total number of housing units (HUs) listed in that particular EA. Let this be represented by fk. That is, fk = (Total Number of HUs selected in an EA)/(Total Number of HUs listed in that particular EA)

    Then the product (fj) x (fk) represented by f is the sampling fraction for each of the corresponding study units (enumeration area) for all the 1,920 EAs canvassed throughout the 36 states of the federation and FCT-Abuja (the capital city). The inverse of the sampling fraction is known as the sampling weight and was applied accordingly to all the study units.

    Mathematically, sampling weight = ((Total number of EAs in a state)/(Total number of EAs sampled in that particular state)) X ((Total Number of HUs listed in an EA)/(Total Number of HUs selected in that particular EA))

    The above value was obtained for each of the 1,920 EAs canvassed throughout the 36 states of the federation and FCT-Abuja. The weight (Rf) was calculated and attached to the data

    NOTE:
    Adjustment was made to the weight depending on the response at household level.

    Survey instrument

    Questionnaires

    Federal Republic of Nigeria
    The National Survey on Agricultural Export Commodities was conducted by the Central Bank of Nigeria in collaboration with the National Bureau of Statistics, Federal Ministry of Agriculture and Rural Development, and Federal Ministry of Commerce.

    Holding Questionnaire:

    Section I: Holding Identification
    Section Ii: Access to Land
    Section Iii: Source of Funds
    Section Iv: Export Crop Farming
    Section Vii: Market Channel
    Section Viii: Quantity Sold
    Section X: Quantity Consumed
    Section Xi: Use of Fertilizer
    Section Xii: Use of Pesticides
    Section Xiii: Use of Improved Seedling/Seed

    Data collection

    Dates of Data Collection
    Start End Cycle
    2003-08-05 2005-08-15 10 days
    Time Method

    2004/2005
    Time periods
    Start date End date Cycle
    2003-08-05 2005-08-15 10 days
    Data Collectors
    Name Affiliation
    Field services and methodology department, National Bureau of Statistics (NBS)
    Supervision

    Field services and methodology department.
    Data Collection Notes

    DATA COLLECTION STRATEGY:
    The National Bureau of Statistics (NBS) permanent field staff residing in the enumeration areas carried out the data collection during the survey. In the household component of the survey, each household head or a responsible adult in the household gave information about their household. The field staff consisted of enumerators (interviewers) and supervisors while the field coordination team consisted of state officers and zonal controllers. Each state officer coordinated all field operations while each zonal controller supervised and coordinated the states in their zone.

    TRAINING:
    Three levels of training were conducted for the AGREXP survey. Training of the Trainers (TOT) was conducted for the members of the technical sub-committee. Twenty trainees who were trained at the first level training, later attended the second level training held in the six geo-political zones of the country. During the second level training, 117 participants consisting of zonal controllers, state officers, and field officers of the National Bureau of Statistics were trained. The third level training took place in each of the 36 state capitals and FCT-Abuja, where a total of 1,067 enumerators and supervisors of the National Bureau of Statistics were trained.

    FIELD ORGANISATION:
    Listing exercises commenced on Monday, 25th November 2002 and lasted two weeks. Thereafter, 10 export farming housing units (EFHUs) were selected. The enumerators and field officers of the National Bureau of Statistics administered copies of the holding questionnaire to all qualified agricultural export commodity farmers in each of the selected enumeration areas in all states and the Federal Capital Territory, from the 27th January to 7th February 2003. During this exercise, relevant information on production, processing, marketing, and credit was obtained from the farmers. The crop cutting exercises covered three broad activities namely: the survey of farm plots, laying of yield plots, and harvesting of crops on designated plots.

    Data processing

    Data Editing

    The completed questionnaires were collated and edited manually:

    (a) Office editing and coding was done by the editor using visual control of the questionnaire before data entry
    (b) Imps was used to design the data entry template provided as an external resource
    (c) Six operators plus two supervisors and two programmers were used
    (d) Six machines were used for data entry
    (e) The data entry staff used 20 days to do the entries
    (f) The supervisor used 5 days to check the entries
    (g) A conversion program was written to convert the data to SPSS which was also provided as an external resource

    Data appraisal

    Estimates of Sampling Error

    No sampling error estimate
    Data Appraisal

    In order to ensure high quality data, a two-phase quality check was put in place. During the first phase, the officers skim-checked 10 listing forms and selected 10 holding questionnaires in selected EAs in each state and FCT.

    During the second phase, 10 listing forms from 10 holding questionnaires were chosen to be spot-checked from selected EAs in each state and FCT.

    Farmers were randomly selected and visited on their farms to authenticate the data entries made by enumerators.

    Distributor information

    Distributor
    Organization name Affiliation
    Central Bank of Nigeria Federal GOVERNMENT OF NIGERIA
    Federal Ministry of Agriculture and Rural Development Federal GOVERNMENT OF NIGERIA
    Federal Ministry of Commerce Federal GOVERNMENT OF NIGERIA

    Data Access

    Access authority
    Name Affiliation URL Email
    National Bureau of Statistics (NBS) Federal 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 paragraph 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 realease 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,

    National Bureau of Statistics (NBS). Nigeria National Survey of Agricultural Export Commodities (AGREXP) 2003. Ref. NGA_2003_AGREXP_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.
    Copyright

    (c) NBS 2007

    Contacts

    Contacts
    Name Affiliation Email URL
    Dr V.O. Akinyosoye Director General voakinyosoye@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    DR G.O. Adewoye Director Census & Surveys georgeadewoye@yahoo.com http://www.nigerianstat.gov.ng
    Mrs A.N. Adewimbi Head of Information and Comnucation Technology Department anadewimbi@yahoo.com http://www.nigerianstat.gov.ng
    Biyi Fafunmi Data Access biyifafunmi@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mrs A. A. Akinsanya Data Archivist paakinsanya@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr R.F. Busari ICT rfbusari@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN) feedback@nigerianstat.gov.ng http://www.nigerianstat.gov.ng

    Metadata production

    DDI Document ID

    DDI_NGA_2003_AGREXP_v01_M
    Producers
    Name Affiliation Role
    National Bureau of Statistics Federal Government of Nigeria (FGN) Metadata Producer
    Date of Metadata Production

    2019-07-25

    Metadata version

    DDI Document version

    Version 01 (July 2019). This version is identical to version 1.0 downloaded from the Nigerian National Bureau of Statistics website (http://www.nigerianstat.gov.ng/nada/index.php/catalog/3), except for edits to grammar and the description of the dataset was edited to reflect the sections of the questionnaires.
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