A Descriptive Statistical Analysis of Electricity Sector Workers’ Ratings of Problems with Electricity Generation in Nigeria

Abstract

Abstract— In this work we present a descriptive statistical analysis of electricity workers’ ratings of problems with electricity generation in Nigeria. The problems were catalogued from focused group discussions with workers in the electricity sector and were corroborated from existing literature on electricity generation. Willing electricity workers across the country were approached at their break periods by trained interviewers for the data collection. A questionnaire containing a list of problems were administered on electricity workers and they were asked to score the listed problems on a scale of 0 – 10 depending on the severity of the problems. The data were collected on condition of strict anonymity and as such cannot be traced to any individual or company. The data was analysed using IBM SPSS Version 25 and Microsoft Excel. A descriptive statistical analysis is presented with insightful conclusions for stakeholders in the electricity sector who are involved in concerted efforts to find lasting solutions to the plethora of problems facing the electricity sector in Nigeria. From the dataset, the profile of the electricity workers indicate that they are well-informed. The respondent’s perception is that natural disasters is apparently the problem with least severity. The ratings show that the most critical problem is obsolete equipment, followed by maintenance budgets and high cost of production in decreasing order of severity. Ten (10) out of the 14 problems rated in terms of severity had a mean rating >5.0 on a scale of 0 - 10 inclusive. The data for the analysis is available and downloadable in a public repository. Keywords—Data analysis, electricity workers’ ratings, electricity generation, descriptive statistics.