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    Home / Central Data Catalog / AGRIC / NGA-NBS-AGREXP-2005-V1.0
AGRIC

National Survey of Agricultural Export Commodities 2005
Second round

Nigeria, 2005
Reference ID
NGA-NBS-AGREXP-2005-v1.0
Producer(s)
National Bureau of Statitics (NBS)
Collections
AGRICULTURE AND FOOD SECURITY
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 18, 2010
Last modified
Dec 02, 2013
Page views
479352
Downloads
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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
  • Distributor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA-NBS-AGREXP-2005-v1.0

    Title

    National Survey of Agricultural Export Commodities 2005

    Subtitle

    Second round

    Abbreviation or Acronym

    AGREXP-2005

    Translated Title

    No Translation

    Country
    Name Country code
    Nigeria NGA
    Study type

    Agricultural Survey [ag/oth]

    Series Information

    The Federal Executive Council (FEC) of Nigeria approved the setting up of the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS) in 2000 with a primary mandate to conduct national survey of agricultural export commodities on annual basis. The CCAECS comprised the National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture and Rural Development (FMA&RD) and Federal Ministry of Commerce (FMC).

    The need to curb the problem of perennial paucity of reliable agricultural data necessitated the setting up of the Committee.

    The Central Bank of Nigeria (CBN) had been funding the project and it is expected to continue to do so as directed by the Federal Executive Council (FEC) until such a time when the National Bureau of Statistics would be strong enough financially to carry out this annual survey which is part of its statutory mandate.

    The pilot survey was carried out in 2002 and the report had already been published. Unfortunately, the 2003 edition could not be carried out due to some problems of fieldwork logistics.

    The 2004 survey presented in this report covered fourteen export crops being the same number covered in the year 2002 report. They were cashew, cocoa, coffee, cotton, garlic, ginger, groundnut, gum arabic, oil palm, rubber, sesame seed, sheanut, sugarcane and tea.

    Abstract

    An agricultural export crop is a crop which is currently grown in Nigeria and has export potentials.
    An agricultural export commodity is the product of any export crop. For example, palm oil and palm kernel are two by-products of the oil palm.

    A holding is the total land area devoted to the cultivation of any of the 14 listed export crops by an individual called a farmer.
    A holder is the person who owns a holding, and is therefore entitled to the proceeds from the holding.

    The major objectives of the survey were as follows:

    i. To ascertain the spread of the cultivation of each of the fourteen export crops within Nigeria in terms of areas
    cultivated by states
    ii. To ascertain the export potential of these commodities with respect to their outputs
    iii. Ascertain the quantities of commodities being exported.
    iv. To provide structural data on agricultural export commodities such as size of holdings, access to land and credit,
    availability of processing and storage facilities among others
    v. To provide socio-economic and demographic data on agricultural export commodity holders.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household

    Version

    Version Description

    version 1.0

    Version Date

    2008-09-19

    Version Notes

    General Review of the Metadata

    Scope

    Notes

    The Survey covered farming households involved in the selected export crops,
    which covered all states in Nigeria and the Federal Capital Territory (FCT).
    Allocation of sample in LGAs and States varies from a minimum of three to a
    maximum of nine, based on the number of export crops grown in the state, as well as
    on the intensity of cultivation.
    In all, 192 LGAs were sampled nationwide with 10 EAs selected from each sampled
    LGA, bringing the total number of EAs nationwide to 1920. In each EA, 10 housing
    units were selected, which brought the total number of housing units covered in the
    survey to 19,200.
    The scopes for data collection were as follows:
    Access to land by type of tenure
    Area cultivated under each crop
    Production in terms of output of each crop
    Use of Farm Inputs -fertilizer, pesticides and improved seedlings
    Access to Credit facilities
    Employment
    Market channels,
    Farm gate and Open market prices
    Consumption from own-production
    Transportation and Storage
    Use and access to farm Implements.

    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
    Keywords
    consumption sales problems seedling market fertilizer cashew cocoa coffee cotton garlic ginger groundnut gum arabic oil palm rubber sheanut sesame seed sugarcane tea. Pesticide Storage transportation implement funds land

    Coverage

    Geographic Coverage

    National State

    Universe

    Household export crop farmers

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statitics (NBS) Fedral Government of Nigeria (FGN)
    Producers
    Name Affiliation Role
    Central Bank of Nigeria Fedral Government of Nigeria (FGN) collaboration
    Federal Ministry of Agriculture & Rural Development Fedral Government of Nigeria (FGN) collaboration
    Federal Ministry of Commerce Fedral Government of Nigeria (FGN) collaboration
    Funding Agency/Sponsor
    Name Abbreviation Role
    National Bureau of Statitics NBS Technical Support
    Central Bank of Nigeria CBN Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Ministries, Departments & Agencies MDAs Technical Support

    Sampling

    Sampling Procedure

    The survey covered all states of the Federation and the Federal Capital Territory (FCT). The number of LGAs allocated to each state for sampling varied from a minimum of 3 to a maximum of 9 based on the number of export crops grown as well as on the intensity of cultivation and corresponding output.

    In all, 192 LGAs were mapped out for sampling nationwide while 10 Enumeration Areas were in turn listed for sampling in each LGA. This brought the total number of EAs initially slated for sampling nationwide to 1920.

    In each EA, 10 Housing Units (HUs) were to be selected in order to cover a total of 19,200 HUs.

    Deviations from the Sample Design

    192 LGA's were selected nationwide (see details in 2.1). But due to logistics problems, the number of LGA's actually covered was about 182.

    Response Rate

    On a national basis the 2005 survey achieved a response rate of about 77.66% at Housing Unit level.

    Weighting

    The formula adopted in calculating the design 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 an 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 unit (Enumeration Area) for all the 1,920EAs canvassed throughout the 36 states of the Federation and FCT, Abuja. The inverse of the sampling fraction is known as the design weight and was applied accordingly to all the study units.

    Mathematically,
    Design 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

    Survey instrument

    Questionnaires

    HOLDING QUESTIONNAIRE
    SECTION I: HOLDING IDENTIFICATION
    SECTION II: ACESS 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:
    SECTION XIII: USE OF IMPROVED SEEDLING/SEED

    Methodology notes

    (a) The data entry was done manually
    (b) The data entry was done in lagos at (csd) cencus and surey division
    (c) Ten operator plus two suppervissor and two progammer were used
    (d) Ten machines were used for data entry
    (e) The data staff use 2 months
    (f) The supervisor use 2 weeks
    (g) progarm was written to convert the data to spss also provided as external resource

    Data collection

    Dates of Data Collection
    Start End Cycle
    2005-09-05 2005-10-05 30 days
    Time Method

    2004/2005

    Time periods
    Start date End date Cycle
    2005-09-05 2005-10-05 30 days
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation Abbreviation
    Field services and methodology department, National Bureau of Statistics (NBS) FSM
    Supervision

    SUPERVISION / QUALITY CHECK

    Two phased quality checks were put in place to ensure the quality of a high quality data. The first phase quality check on holding questionnaire was conducted in September 2005.
    The zonal and state-based quality checks were earlier carried out by the NBS officials in all states of the federation. During the exercise, the officers skim-checked and spot-checked the listing forms and holding questionnaires in selected Enumeration Areas. Farmers were randomly selected and visited on their farms to authenticate the entries made by the enumerators.
    The headquarters based quality check exercise was also carried out from 17th t0 22nd September 2005 by officials of the Federal Ministry of Agriculture and Rural Development, Federal Ministry of Commerce, National Bureau of Statistics and Central Bank of Nigeria.
    All the questionnaires were retrieved from the field by the enumerators and submitted at the sub-offices. Subsequently, the questionnaire were batched according to Enumeration Areas and taken to NBS states' offices and later to the zonal offices. All the questionnaires were finally submitted at the NBS headquarters in Lagos.

    Data Collection Notes

    DATA COLLECTION STRATEGY
    The NBS permanent field staff carried out the data collection during the survey year. The household head or a responsible adult in the household gave information about his household generally. Data collection was carried out in September 2005.

    TRAINING
    Three levels of training were conducted before the fieldwork. Training of the trainer (TOT) was conducted for the members of the Technical Sub-committee. Twenty trainees who were trained at the first level training later handled the second level training held in the six geo-political zones of the country. During the second level training, 117 participants comprising 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 states capital and FCT where a total of 1,067 Enumerators and Supervisors of the National Bureau of Statistics were trained.

    FIELD ORGANISATION
    Listing exercise was done in two weeks. Thereafter, ten export farming housing units (EFHUs) were selected for coverage.

    The enumerators and field officers of the National Bureau of Statistics administered the holding questionnaire to all qualified agricultural export commodity farmers in the selected Enumeration Areas in all the states of the Federation and the Federal Capital Territory.

    SUPERVISION/QUALITY CHECK
    Two phased quality checks were carried out to ensure high quality data. The first phase quality check on holding questionnaire was conducted in September 2005. The zonal and state-based quality checks were earlier carried out by the NBS officials in all states of the federation. During the exercise, the officers skim-checked and spot-checked the listing forms and holding questionnaires in selected enumeration areas. Farmers were randomly selected and visited on their farms to authenticate the entries made by the enumerators. The headquarters-based quality check exercise was also carried out from 17th t0 22nd September 2005 by the Technical Committee.

    DATA RETRIEVAL/STORAGE
    All the questionnaires were retrieved from the field by the enumerators and submitted at the NBS sub-offices. Subsequently, the questionnaires were batched according to enumeration areas and taken to NBS state offices and later to the zonal offices. All the questionnaires were finally submitted at the NBS headquarters in Lagos.

    Data processing

    Data Editing

    The completed questionnaires were collated and edited manually
    (a) Office editing and coding were done by the editor using visul contro of the questionnaire before data entry
    (b) Imps was used to design the data entry template
    (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
    (f) Conversion progarm was written to convert the data to spss

    Data appraisal

    Estimates of Sampling Error

    No sampling error estimate

    Data Appraisal

    Two phased quality checks were put in place to ensure the quality of a high quality data. The first phase quality check on holding questionnaire was conducted in September 2005. The zonal and state-based quality checks were earlier carried out by the NBS officials in all states of the federation. During the exercise, the officers skim-checked and spot-checked the listing forms and holding questionnaires in selected Enumeration Areas. Farmers were randomly selected and visited on their farms to authenticate the entries made by the enumerators. The headquarters based quality check exercise was also carried out from 17th t0 22nd September 2005 by officials of the Federal Ministry of Agriculture and Rural Development, Federal Ministry of Commerce, National Bureau of Statistics and Central Bank of Nigeria.

    Distributor information

    Distributor
    Organization name Abbreviation Affiliation
    Central Bank of Nigeria CBN FEDRAL GOVERNMENT OF NIGERIA
    Federal Ministry of Agriculture and Rural Development FMA&RD FEDRAL GOVERNMENT OF NIGERIA
    Federal Ministry of Commerce FMC FEDRAL GOVERNMENT OF NIGERIA

    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 Survey of Agricultural Export Commodities 2005-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

    (c)NBS 2007

    Contacts

    Contacts
    Name Affiliation Email URL
    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 aanadewimbi@yahoo.com http://www.nigerianstat.gov.ng
    Biyi Fafunmi Data Curator 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) Fedral Government of Nigeria (FGN) feedback@nigerianstat.gov.ng http://www.nigerianstat.gov.ng

    Metadata production

    DDI Document ID

    DDI-NGA-NBS-AGREXP-2005-v1.0

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

    2008-09-19

    Metadata version

    DDI Document version

    Version 1.0

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