I. ABSTRACT

Based on the Philippines in Figure 139, 459 reported index crimes and 445 274 non-index crimes.
Looking at the data, there was a decrease in these numbers. However, these are still alarming
numbers, as almost 566 crimes occur per 100,000 populations in the country. This paper
describes the crime-related incidents and where they tend to concentrate in terms of types of
crime (index and non-index crimes), location, and time. It also determined the hotspots of crimerelated incidents at Silang, Cavite. It was found that spatial clustered patterns existed when
crime-related incidents were grouped according to the type of crime (non-index and index) and
time of occurrence (morning and afternoon). Moreover, hotspot analysis revealed that particular
barangays are prone to vehicular accidents (non-index crimes). In contrast, most of the barangays
in the town have little to no chances of predictability as to the time of the occurrence of the
crime-related incidents. This study used a sequential explanatory design. The researchers utilized
a combination of self-made derived questionnaires from a previous study to conduct surveys and
interview the respondents. For Quantitative, Percentage, and Frequency distribution, weighted
mean, ANOVA, and Scheffe Method, a post hoc test was used to treat data. At the same time, a
thematic descriptive phenomenology was used as a qualitative analysis method. The results
showed that PNP Silang, Cavite Officers had a hard time implementing the Anti-Criminality
Program during the year 2019-2021 about the hindrances brought by the pandemic. The results
suggest that future implementation should make the program broader for the community and the
implementers who participated in the project. Moreover, implementing the said project should
also consider the risk