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50x2030

Sierra Leone Agriculture Household Listing Survey 2023

Sierra Leone, 2023
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Reference ID
SLE_2023_SLLIST_v01_EN_M_v01_A_ESS
Producer(s)
Statistics Sierra Leone, Ministry of Agriculture and Food Security
Collections
50x2030 Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 08, 2025
Last modified
Jan 14, 2025
Page views
245
  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Metadata production
  • Identification

    Survey ID number

    SLE_2023_SLLIST_v01_EN_M_v01_A_ESS

    Title

    Sierra Leone Agriculture Household Listing Survey 2023

    Country
    Name Country code
    Sierra Leone SLE
    Abstract

    In recognition of the critical role the agricultural sector plays in national development, Sierra Leone joined the 50x2030 Initiative in early 2023. This partnership focuses on establishing a sustainable annual agricultural survey program. The program's primary aim is to generate high-quality, timely, and relevant agricultural data that directly addresses the country's needs. The implementation of the 50x2030 activities in Sierra Leone relies on a variety of statistical undertakings, one of which is the Sierra Leone Listing Survey (SLLIST) conducted in 2023. This survey plays a vital role in monitoring and achieving the goals of the 50x2030 initiative. It serves as a foundational element for subsequent surveys, establishing a comprehensive sampling frame that will be utilized in future data collection efforts. By meticulously gathering data on various aspects, SLLIST lays the groundwork for further analysis and ensures the accuracy of subsequent surveys.

    The other specific objectives for the design of the Listing Survey were to:

    • Accurately enumerate and document all dwelling units/structures and households within the selected enumeration areas (EAs) in preparation for agricultural holdings/households' selection

    • Record detailed description of every structure and identify the heads of agricultural holdings/households

    • Collect information in each of the 520 selected EAs, ensuring effective supervision and monitoring of the agricultural holdings/households to be selected for data collection.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Scope

    Notes

    This survey focused on collecting data from agricultural households, covering topics such as household demographics, land ownership, agricultural activities, livestock rearing, labor force composition, and participation in off-farm activities.

    Topics
    Topic Vocabulary URI
    Agricultural workers ELSST Thesaurus https://thesauri.cessda.eu/elsst-5/en/
    Agricultural production ELSST Thesaurus https://thesauri.cessda.eu/elsst-5/en/
    Keywords
    Crops Livestock Households

    Coverage

    Geographic Coverage

    National coverage, with the exception of the Western Urban district

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics Sierra Leone Government of Sierra Leone
    Ministry of Agriculture and Food Security Government of Sierra Leone
    Producers
    Name Affiliation Role
    Food and Agriculture Organization United Nations Technical Assistance
    Funding Agency/Sponsor
    Name Role
    World Bank Financial assistance through the HISWA Project

    Sampling

    Sampling Procedure

    The survey employed a stratified random sampling technique to ensure a representative sample of agricultural households across all five regions and fifteen districts of Sierra Leone with the exception of the Western Urban district. From 514 Enumeration Areas, a total of 42990 agricultural households were interviewed.

    Response Rate

    The response rate was 99.9%.

    Weighting

    Sample weights were calculated for the data file. It was computed as the inverse of the probability of selection of agricultural household, the latter bieng the product of the probability of selection of the EA in which the household is located and the probability of selection of the EA.

    The weight variable is called "SampleWeight".

    Survey instrument

    Questionnaires

    The questionnaire was administered in each household, preferably to the head of household. It includes questions on household demographic characteristics and agricultural activities practiced.
    The questionnaire is provided as external resource.

    Data collection

    Dates of Data Collection
    Start End
    2023-08-28 2023-09-18
    Mode of data collection
    • Computer Assisted Personal Interview [capi]

    Data processing

    Data Editing

    The listing questionnaire was implemented on CSPRO as CAPI tool. During data collection, some validation controls were integrated into the app to minimize mistakes when typing households’ answers. After data collection, a processing program designed under SPSS software permitted to clean both cases and variables. Duplicated cases were deleted and then the sampling weights adjusted to take the two non-covered EAs into account. Missing, illegal, unlike and incoherent values were detected and then locally imputed objectively in respecting filters. Finally, the necessary tabulation variables were created and then tables were produced according to the tabulation plan designed earlier.

    Data appraisal

    Estimates of Sampling Error

    To appreciate the data quality, some tables were supported by sampling errors estimates. Especially, coefficients of variations and standard errors were estimated for a set of indicators in open data publishing purposes.

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.
    Access conditions

    Licensed datasets, accessible under conditions.

    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

    Metadata production

    DDI Document ID

    DDI_SLE_2023_SLLIST_v01_EN_M_v01_A_ESS_FAO

    Producers
    Name Affiliation Role
    Statistics Sierra Leone Government of Sierra Leone Metadata producer
    Ministry of Agriculture and Food Security Government of Sierra Leone Metadata producer
    Statistics Division FAO Metadata producer and metadata adapted for FAM

    Metadata version

    DDI Document version

    SLE_2023_SLLIST_v01_EN_M_v01_A_ESS

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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