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National Agricultural Sample Survey, Livestock and Poultry Farming 2006

Nigeria, 2007
Reference ID
NGA_2006_AgSLF_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Dec 12, 2013
Last modified
Mar 29, 2019
Page views
30154
Downloads
4272
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • 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_2006_AgSLF_v01_M

    Title

    National Agricultural Sample Survey, Livestock and Poultry Farming 2006

    Subtitle

    Third edition

    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 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 project produced a series of socio-economic data through households and establishments, and also through the compilation of administrative data sets from public and private institutions. The results and findings from the survey were adequate, credible and current for meaningful monitoring and evaluation of programmes and policies and also for policy formulation at national and sub-national levels. The General Household Survey was designed to provide statistical information on socio-demographic conditions of the members of households in Nigeria.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    State, household, individual

    Scope

    Notes

    The survey collected data about livestock/poultry production, prices, tools and equipment, and challenges in producing livestock/poultry.

    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
    plant and animal distribution [9.4] CESSDA http://www.nesstar.org/rdf/common
    Keywords
    livestock poultry

    Coverage

    Geographic Coverage

    National coverage

    Universe

    Households from the national sample with livestock and poultry

    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 Collaboration
    Nigerian Commnications Commision Federal Government of Nigeria Collaboration
    Funding Agency/Sponsor
    Name Role
    National Bureau of Statistics Funding
    Central Bank of Nigeria Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Department of Agriculture Nigerian Universities Technical Support
    Farmers Association Nigerian Farmers Technical Support

    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.

    Response Rate

    At Enumeration Area (EA) level the response rate was 91.78 per cent while at the 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.

    Survey instrument

    Questionnaires

    The questionnaire for the livestock/poultry is a structured questionnaire based on household characteristics with some modifications and additions. The house project module is a new addition and some new questions on ICT.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2007-03-03 2007-03-26 23 days
    Data Collectors
    Name Affiliation
    National Bureau of Statistics Federal Government of Nigeria (FGN)
    Supervision

    As earlier stated the data collection exercise involved team made up of 3 interviewers and 1 supervisor. The supervisor assigns EAs to the interviewers and ensures that their job is properly edited at the end of the day.

    Data Collection Notes

    Prior to the commencement of data collection, training was conducted at two levels; training of trainers and zonal level trainings. This training was to equip trainers and trainees with background information about the survey and what is expected of them. Also, training sessions included classroom teaching, demonstration, mock interviews, role playing, field and home exercises. The crop production Survey a household based exercise, in each state of the federation 3 teams were used comprising of 3 supervisors and 12 enumerators. A team was made up of one Supervisor and four Enumerators. Each team covered 20 Enumeration Areas (EA) for a period of 22 days. A pair of enumerators in a team covered 10 EAs.

    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

    Data Appraisal

    The Quality Control measures were carried out during the survey, essentially to ensure quality of data. Field monitoring and quality check exercises were also carried out during the period of data collection as part of the quality control measures.

    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 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.

    Citation requirements

    "National Bureau of Statistics, Socioeconomic Survey Private Farmer - Livestock Poultry 2006 (NASSLPF 2006), v01, provided by the National Data Archive. http://www.nigerianstat.gov.ng/nada/index.php"

    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
    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_2006_AgSLF_v02_M

    Producers
    Name Affiliation Role
    National Bureau of Statistics FGN Data Producer
    Accelerated Data Program International Household Survey Network Review of the metadata
    Date of Metadata Production

    2008-09-03

    Metadata version

    DDI Document version

    Version 02 (October 2013). Edited version based on Version 01 DDI that was done by Nigeria National Bureau of Statistics and reviewed by Accelerated Data Program, International Household Survey Network.

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