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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2006_PFLP_V01_EN_M_V01_A_OCS
agricultural-surveys

Private Farmer Livestock-Poultry 2006

Nigeria, 2007
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Reference ID
NGA_2006_PFLP_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
Jul 17, 2019
Last modified
Jul 17, 2019
Page views
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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_2006_PFLP_v01_EN_M_v01_A_OCS

    Title

    Private Farmer Livestock-Poultry 2006

    Country
    Name Country code
    Nigeria NGA
    Study type

    Agricultural Survey [ag/oth]

    Series Information

    This Private Farmer Livestock/Poultry is the 3rd in the series of collaborative effort of the National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN) and the Nigeria Communications Commission (NCC) previously conducted in 2004, 2005 and 2006 being the current one. However the Private Farmer Livestock/Poultry is a regular survey of the National Bureau of Statistics conducted on quarterly basis before the collaboration was initiated.

    Abstract

    The Private farmer-Livestock/Poultry is a brainchild of the National Bureau of Statistics (NBS) and is often referred to as Regular survey carried out on quarterly basis by the NBS over the years. In recent times, starting from 2004 to be precise, there is a collaborative effort between the NBS and the CBN in 2004 and 2005 and in 2006 the collaboration incorporated Nigerian Communications Commission (NCC). The main reason of for conducting the survey was to enable the collaborating agencies fulfil their mandate in the production of current and credible statistics, to monitor and evaluate the status of the economy and the various government programmes such as the National Economic Empowerment and Development Strategy (NEEDS) and the Millennium Development Goals (MDGs). The collaborative survey also assured the elimination of conflicts in data generated by the different agencies and ensured a reliable, authentic national statistics for the country.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Scope

    Notes

    The section in the questionaire
    · Identification
    . Type of livestock kept
    . Type of Poultry kept
    . Sources livestock input
    . Sources Poultry input
    . Input Utilization(Livestock)
    . Input Utilization(Poultry)
    . Stocks and Changes in Stocks
    . Stocks and Changes in Stock of Poultry/Dairy Products
    . Loss as a result of bird flu
    . Sales of Livestock
    . Sales of Poultry
    . Sources of funds
    · Livestock
    · Poultry
    · Processing facilities
    · Subsidy
    · Stock
    · Preservation methods
    . Sales of produce
    . Export your produce
    . Compare the current livestock farming season with the previous
    . Expectations for livestock activities in the next farming season?
    . Problems do you encounter when purchasing livestock/poultry inputs?
    . Problems do you encounter when purchasing livestock/poultry tools?
    . Problems do you encounter during production process?
    . Problems do you have during processing and storage?
    . Improving livestock/poultry farming activities in the Country?
    . Government assisttance
    . Access to any of the following ICT facilities?

    Topics
    Topic
    consumption/consumer behaviour
    rural economics
    agricultural, forestry and rural industry
    business/industrial management and organisation
    employment
    working conditions
    basic skills education
    plant and animal distribution
    land use and planning
    transport, travel and mobility
    gender and gender roles
    children
    elderly
    youth
    community, urban and rural life
    information technology
    Keywords
    products employment sales market storage problems production livestock poultry sources of funds Sheep Goat Cattle Dog Donkey Camel Rabbit Horse Pig Chicken Duck Ostrish Turkey Geese Guinea Pig Pigeon

    Coverage

    Geographic Coverage

    National Coverage

    Universe

    Livestock and Poultry Household Members

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Federal Government of Nigeria
    Producers
    Name Affiliation Role
    Central Bank of Nigeria Federal Government of Nigeria Collaboration
    Nigerian Communications Commission Federal Government of Nigeria Collaboration
    Funding Agency/Sponsor
    Name Role
    National Bureau of Statistics Funding
    Central Bank of Nigeria Funding

    Sampling

    Sampling Procedure

    Total sample sizes of 32,850 Farming Housing Units (FHUs) were drawn from 2,190 EAs. In each state, 900 FHUs drawn from 60 EAs were studied. Four hundred and fifty (450) FHUs from 30 EAs were studied in (FCT), Abuja. The listings of housing units in the selected EAs were updated before they were stratified into farming and non-farming housing units. The farming housing units were further stratified into Crop Farming Housing Units (CFHU), Livestock Farming Housing Units (LFHU) and Fishing Farming Housing Units (FFHUs). In each EA, 5 FHUs were studied for crop farming, 5 FHUs were covered for livestock and 5 FHUs for fishery. At each level of selection, housing units were systematically selected using different random start.

    All households in the HUs that qualified as farming households were served with relevant private farmers questionnaires.

    Out of 2,190 EAs to be covered, 2010 Livestock/Poultry EAs were actually studied. So also out of 10,950 Livestock/Poultry Holders expected to be to be covered, 4,961 Livestock/Poultry Holders were actually studied.

    Deviations from the Sample Design

    Variance Estimate (Jackknife Method)
    Estimating variances using the Jackknife method will require forming replicate from the full sample by randomly eliminating one sample cluster [Enumeration Area (EA) at a time from a state containing k EAs, k replicated estimates are formed by eliminating one of these, at a time, and increasing the weight of the remaining (k-1) EAs by a factor of k/(k-1). This process is repeated for each EA.

    For a given state or reporting domain, the estimate of the variance of a rate, r, is given by
    k
    Var(r ) = (Se)2 = 1 S (ri - r)2
    k(k-1) i=1

    where (Se) is the standard error,
    k is the number of EAs in the state or reporting domain.

    r is the weighted estimate calculated from the entire sample of EAs in the state or reporting domain.
    ri = kr - (k - 1)r(i), where

    r(i) is the re-weighted estimate calculated from the reduced sample of k-1 EAs.

    To obtain an estimate of the variance at a higher level, say, at the national level, the process is repeated over all states, with k redefined to refer to the total number of EAs (as opposed to the number in the states).

    Response Rate

    At Enumeration Area (EA) level the response rate was 91.78 per cent while at Livestock/Poultry holder level, the response rate was 45.31 per cent

    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 2,190EAs canvassed throughout the 36 states of the Federation and FCT, Abuja. Thereafter, adjustment factors were applied to adjust for the non-responses.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2007-03-03 2007-03-26 23 days

    Data processing

    Data Editing

    The data editing is in 2 phases namely manual editing before the questionnaires were scanned. 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 scanned data.

    Data appraisal

    Estimates of Sampling Error

    The population of the country is large and due to limited fund, census enumeration of Livestock/Poultry farmers is not visible. To reduce Sampling Error, selection of Livestock/Poultry farmers was based on State of the Federation.

    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

    National Bureau of Statistics, Nigeria, Private Farmer Livestock-Poultry Survey (NGA) 2006-v.1.0

    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.

    Contacts

    Contacts
    Name Affiliation Email URL
    G.O Adewoye Director Census and Surveys [email protected] http://www.nigerianstat.gov.ng
    A.N. Adewinmbi Head (ICT) [email protected] http://www.nigerianstat.gov.ng
    Biyi Fafunmi Data Curator [email protected] http://www.nigerianstat.gov.ng
    A.A Akinsanya Data Archivist [email protected] http://www.nigerianstat.gov.ng
    National Bureau of Statistics (NBS) Fedral Government of Nigeria (FGN) [email protected] http://www.nigerianstat.gov.ng
    Mr R.F. Busari ICT [email protected] http://www.nigerianstat.gov.ng

    Metadata production

    DDI Document ID

    DDI_NGA_2006_PFLP_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

    Metadata version

    DDI Document version

    NGA_2006_PFLP_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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