Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Brionne Antoine<br />
Crime Analyst, Crime and<br />
Problem Analysis Branch<br />
Introduction<br />
The use of crime statistics in policing to combat crime is<br />
certainly not a new idea. As early as the 1960s, police<br />
departments around the world have taken advantage<br />
of crime statistics in developing crime fighting<br />
techniques and strategies. However, with the<br />
changing and increasing demands on police<br />
departments regarding crime, public safety and<br />
the multitude of surrounding issues as well as<br />
finite police resources, it has called for a more<br />
systematic approach. Thus, crime statistics,<br />
as well as the tools used to analyse them,<br />
play an even more critical role. For the<br />
Trinidad and Tobago Police Service<br />
(<strong>TTPS</strong>),the same holds true,<br />
especially in light of the multiplicity<br />
of challenges faced with regard to<br />
crime and violence in Trinidad and<br />
Tobago. The following article<br />
seeks to discuss the crucial<br />
role that crime statistics<br />
play in the crime-fighting<br />
strategies of the <strong>TTPS</strong>.<br />
Crime figures: First Step in Setting Priorities<br />
Knowledge of crime data is an essential requisite for the<br />
effective prioritizing and allocation of police resources in<br />
the <strong>TTPS</strong>. Prior to the consistent usage of crime statistics,<br />
there was an inclination to establish strategies based on<br />
immediate or current events. This “snapshot” approach<br />
limited the ability to be aware of wider crime trends and<br />
patterns at the district and divisional levels. With the<br />
advent of the Records Management System (RMS) in<br />
1999, the <strong>TTPS</strong> was capable of capturing and storing<br />
higher quality crime data, which provided police officers<br />
with a more comprehensive overview of reported crimes.<br />
In 2007, the Crime and Problem Analysis Branch (CAPA)<br />
was established, which in addition to the Compstat<br />
(comparative statistics) process, enhanced the <strong>TTPS</strong><br />
capabilities to effectively analyse crime trends and<br />
patterns. Police officers were now able to examine crime<br />
data at the district, divisional and national levels in order<br />
to determine high-priority events. Thus, the focus on using<br />
data and analysis assisted police officers in identifying<br />
concentrations of crime, prioritizing them and allocating<br />
the relevant resources. Given the wide array of complex<br />
services the <strong>TTPS</strong> is required to provide to the public,<br />
crime statistics and data analysis are the main drivers<br />
behind setting top priorities and strategic goals in a<br />
manner that is consistent and objective.<br />
Predictive Policing<br />
According to the National Institute of Justice (2014),<br />
“predictive policing tries to harness the power of<br />
information, geospatial technologies and evidence-based<br />
intervention models to reduce crime and improve public<br />
safety. This two-pronged approach — applying advanced<br />
analytics to various data sets, in conjunction with<br />
intervention models — can move law enforcement from<br />
reacting to crimes into the realm of predicting what and<br />
where something is likely to happen and deploying resources<br />
accordingly.” Crime statistics speak directly to the first part<br />
of the two-pronged approach – advanced analysis of data<br />
sets. Crime data is essentially the foundation of this<br />
approach as it provides the information needed to conduct<br />
analyses about likely crime events, trends and patterns as<br />
36