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agricultural-surveys

Decent Work Study in Agriculture - Pilot Survey, 2017

Kenya, 2017
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Reference ID
KEN_2017_DWSA_v01_EN_M_v01_A_OCS
Producer(s)
GSARS, KNBS
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 28, 2021
Last modified
Jan 29, 2021
Page views
35082
Downloads
234
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Depositor information
  • Data Access
  • Metadata production
  • Identification

    Survey ID number

    KEN_2017_DWSA_v01_EN_M_v01_A_OCS

    Title

    Decent Work Study in Agriculture - Pilot Survey, 2017

    Country
    Name Country code
    Kenya KEN
    Study type

    Agricultural Survey [ag/oth]

    Abstract

    The Global Strategy to improve Agriculture and Rural Statistics (GSARS) and Kenya National Bureau of Statistics (KNBS) have administered a survey in three counties near Nairobi where most households are engaged in agriculture. The survey captured information on the household’s agricultural activities, as well as detailed information on individuals’ employment and work activities over the last week and the last year. In addition to employment and unemployment estimates, four different measures of underemployment are estimated. All four indicators are useful in depicting labour force performance. The time-related underemployment and skill-based underemployment indicators capture underutilization of labour across all levels of employment. On the other hand, the last two indicators: the measures based on the quality, and security of employment; better describe employment at the bottom of the employment spectrum. They are proxies for those who would be unemployed if formal safety nets were in place and unemployment was an option. In contrast to what is presented here, in a high-income European country where unemployment benefits are provided, the unemployment rate would probably be higher and the estimates for the last two indicators would be smaller.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and Individuals

    Scope

    Notes

    The description of scope for the survey covers Agricultural production, Employment and Training.

    Topics
    Topic
    Agriculture
    Employment
    Keywords
    Decent Work Kenya Employment

    Coverage

    Geographic Coverage

    Not representative

    Universe

    Agricultural Households

    Producers and sponsors

    Primary investigators
    Name Affiliation
    GSARS FAO
    KNBS Government of Kenya
    Funding Agency/Sponsor
    Name Role
    Global Strategy for improving Agricultural and Rural Statistics Funding

    Sampling

    Sampling Procedure

    For this survey, two stage sampling method was used. This involved the sampling of enumeration areas (EAs) and sampling of households. Three counties were selected purposively: Machakos, Murang'a and Kiambu. 36 EAs was sampled randomly: 12 in each county. After the listing, 15 households were sampled in each EA.

    Weighting

    The sample was not representative at the county level. At the end, 495 households were valid interviewed.

    Survey instrument

    Questionnaires

    The questionnaire for the survey has the following sections:

    Section 1 - Household identification and introduction
    Section 2 - Characteristics of the dwelling
    Section 3 - Characteristics of the holding
    Section 4 - Education
    Section 5 - Employment (Wage)
    Section 6 - Employment (Unpaid)
    Section 7 & 8 - Checks and temporary absence
    Section 9 - Job search
    Section 10 & 11 - Working time in actual and usual hours
    Section 12 - 19 - Main jobs
    Section 20 - Own use production work
    Section 21 - Credit

    Data collection

    Dates of Data Collection
    Start End
    2017-08-07 2017-11-12
    Mode of data collection
    • Computer Assisted Personal Interview [capi]

    Depositor information

    Depositor
    Name Affiliation
    OCS FAO

    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

    Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:

    • The micro dataset will only be used for statistical and/or research purposes;
    • Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
    • 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;
    • The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
    Citation requirements

    GSARS, KNBS. Decent Work Study in Agriculture - Pilot Survey, 2017, Kenya, 2017. Dataset downloaded from https://microdata.fao.org.

    Metadata production

    DDI Document ID

    DDI_KEN_2017_DWSA_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Metadata producer

    Metadata version

    DDI Document version

    KEN_2017_DWSA_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
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