Raw data of Nigeria's socio-economic variables' impact on Kwara State youths involvement in agriculture
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Raw data of Nigeria's socio-economic variables' impact on Kwara State youths' involvement in agriculture. The study undertook a cross-sectional survey of three local government council areas in Kwara – State, Nigeria with 300 copies of a good structured questionnaire, needless to obtain the population of youths in the three local government council areas. The number of participants depended on the same number obtained from each of the local government council areas, A hundred copies of a structured questionnaire were used to collect relevant data in each of the local government council areas surveyed. For effectiveness, we had to train and later engaged some university graduates as research assistants to cover the three local government council areas selected via stratified sampling in each of three local government council areas involved in the study. All the research assistants concluded the data collection within a fourteen-day period that spanned through weekends after a test-retest validity of 89% was obtained. The questionnaire was structured into six sections: demographic data; employability variables; awareness of agriculture as a veritable employer; challenges that youths face in agriculture; youth migration; and motivating youths’ into agriculture. A total of 32 questions were mildly drawn to harvest the needed data without stressing respondents. To ensure sincere job was done by the research assistants, the phone number of each respondent was requested on the questionnaire. The socio-economic variables of study as contained in [9] include investible funds into agriculture, agricultural policies, agriculture-oriented education or enlightenment campaigns, and amenities in place to boost farm yields. The relevant data collected relate to the statistics of youths employed in agriculture or related business. A total of 265 respondents took part in the survey, but only 135 (51%) responded to the question on identifying the actual type of agriculture that they particularly engage in. while 4 (1.5%) were missing, and there was no response by 126 (47.5%) of the study participants to the question. It is only 1 (i.e. 0.4%) that is involved in animal husbandry. Thus, in response to two of the specific study objectives: to investigate the rate of youths’ engagement in agricultural production, and to identify the agricultural activities that Kogi youths engage in, Finding shows that 51% of study participants engage in agriculture. None of the study participants engage in poultry keeping, fish farming, food processing, food packaging, or any other varieties. The inference that we could draw the study is that only it is about 51% of the study population engage in agriculture.
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Study set out to explain by examining a causal effect relationship between some socio cum economic factors and the involvement of youths in agricultural industry. Study undertook a cross-sectional survey of three local government council areas in Kwara – State, Nigeria with 300 copies a well structure questionnaire, needless to obtain the population of youths in the three local government council areas. The number of participants depended on the same number obtained from each the local government council areas, A hundred copies of structured questionnaire were used to collect relevant data in each of the local government council areas surveyed. For effectiveness, we had to train and later engaged some university graduates as research assistants to cover the three local government council areas selected via stratified sampling in each of the three local government council areas involved in the study. All the research assistants concluded the data collection within a fourteen-day period that spanned through weekends after a test retest validity of 89% was obtained. The questionnaire was structured into six sections: demographic data; employability variables; awareness of agriculture as a veritable employer; challenges that youths face in agriculture; youth migration; and motivating youths’ into agriculture. A total of 32 questions were mildly drawn to harvest the needed data without stressing respondents. To ensure sincere job was done by the research assistants, phone number of each respondent was requested on the questionnaire. The socio-economic variables of study as contained in [9] include investible funds into agriculture, agricultural policies, agriculture oriented education or enlightenment campaigns, amenities in place to boost farm yields. The relevant data collected relate to the statistics of youths employed in agriculture or related businesses, perception of agriculture as a veritable employer of labour, the challenges faced in agriculture, youths’ emigration/abstinence from agriculture, and what really motivated youths in agriculture. A total of 265 respondents took part in the survey, but only 135 (51%) responded to the question on identifying the actual type of agriculture that they particularly engage in. while 4 (1.5%) were missing, there was no response by 126 (47.5%) of the study participants to the question. It is only 1 (i.e. 0.4%) that is involved in animal husbandry. Thus, in response to two of the specific study objectives: to investigate the rate of youths’ engagement in agricultural production, and to identify the agricultural activities that Kogi youths engage in, Finding shows that 51% of study participants engage in agriculture. None of the study participants engage in poultry keeping, fish farming, food processing, food packaging, or any other varieties. The inference that we could draw from the study is only it is about 51% of the study population engage in agriculture; among which 50.6% engage in crop farming