Decent Work Study in Agriculture - Pilot Survey, 2017
Agricultural Survey [ag/oth]
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
The description of scope for the survey covers Agricultural production, Employment and Training.
Producers and sponsors
Government of Kenya
Global Strategy for improving Agricultural and Rural Statistics
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.
The sample was not representative at the county level. At the end, 495 households were valid interviewed.
Dates of Data Collection
Data Collection Mode
Computer Assisted Personal Interview [capi]
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
All direct identifiers were removed from the dataset, and some free texts were hidden as confidential. Furthermore, age for individual members were recoded into 10 year age bands, starting from 15 years above, and individuals aged 75 or more were top-coded. Marital status and toilet types was recoded into 3 categories, while number of rooms was top coded.
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