STATISTICAL ANALYSIS OF CRIME PATTERNS IN KATSINA METROPOLIS

Abstract

The study investigates the most effective deployment of security personnel in high-crime areas using secondary data from Katsina Police Headquarters, the data comprises twelve types of crimes from various police stations in the Katsina metropolis from 2016 to 2022. The data was analyzed using the Friedman test. The Friedman result was found to be statistically significant, indicating substantial differences in crimes across the types of crime.
Automobile theft and assault are the most occurring crimes with the highest mean ranks, while kidnapping and unnatural offences are the least frequent crimes in the areas. The study reveals that 33 out of every 1000 people commit at least one crime in the Katsina metropolis,
with the most common crimes being automobile theft, assault, and housebreaking. The study suggests that the government should increase the deployment of security personnel in the GRA, Sabon Gari, and Central police stations during festive months like December, January, and June.