An evaluation of the three measurable cardinal objectives of the National Youth Service Corps programme: a survey dataset

Abstract

Background: The National Youth Service Corps programme is, among other targets, aimed at promoting national inclusiveness and tolerance in a culturally heterogeneous society. Despite the importance of this programme, little has been done to evaluate its degree of success. Where evaluations are done, they are never made public. There is a need for the NYSC programme, just like all other public programmes, to be evaluated for transparency, accountability and decision-making. From an evaluation of the three measurable objectives of the NYSC programme, this dataset bridges this gap. Methods: This dataset was collected from Nigerian graduates that completed their national service between 2012 and 2021. The data was collected through an electronic survey posted to various online platforms hosting National Youth Service Corps (NYSC) members of the various sets and batches. The data collection aimed to evaluate the three cardinal objectives of the programme. After three years of data collection (from 2019 to 2021), responses were obtained from 19,278 participants that met the eligibility criteria. The data is an Excel (.xlsx) document with 19,278 cases and 95 variables. Descriptive statistics such as frequency counts and simple percentages were used to summarise the data. However, charts are further used to illustrate the demographic attributes of the respondents. The dataset is broad and covers all the 36 states in Nigeria plus the Federal Capital Territory. Results: The data set has many reuse potentials because it contains information on camp activities (such as parades, military drills, redeployment, quality of food, and facilities, among others), primary assignments and community service engagements of corps members. Conclusions: The data can offer a complete evaluation of how the (NYSC) has attained three of its four cardinal objectives. A series of relationships can further be determined and tested using inferential statistics among the variables included in the dataset.