INTRODUCTION TO CRIME AND INTELLIGENCE ANALYSIS.

You attended a crime analyst conference at York Regional Police and were provided with data from a number of services that are having issues with break and enters. There is some confusion about 11 break and enter data sets that have been reviewed in the meeting and how to tackle a refined response considering that resources are an issue. You have that excel file. It is called B&E Assignment Summer 2019. Please review the data from the break and enters. Your role is to determine how many trends you think are actually occurring and determine how many (if any at all) are working together and determine how many unique series and crime groups you are contending with. Remember the crime analysis process from last week's lecture. Collect, Collate, Analysis, Disseminate (feedback loop). Once you have established this, present your thoughts of crime prevention and interdiction. Not only from a theoretical perspective (think of power points and reading on policing), but from a tact

INTRODUCTION TO CRIME AND INTELLIGENCE ANALYSIS
ASSIGNMENT
Student’s Name:
Lecturer’s Name:
Course Name:
Date:

Vaughan Mississauga Toronto Markham Bradford
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Number of Crimes Reported per City
City
Number of Crimes
The figure above, it is evident that the city of Toronto recorded the highest number of crimes (4
cases) and it was closely followed by the city of Vaughan (3 cases).
Monday Tuesday Wednesday Friday
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Number of Crimes Reported pre Day of the Week
Day of the Week
Number of Crimes
The figure above suggests that most crimes take place on Mondays since Mondays recorded the
highest number of cases reported (5 cases) and it is followed by Wednesdays (3 cases).

Front Door Rear Door Side Door Second Story Basement
Window
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Number of Times each Entry Method was Used
Etry Method
Number of Times Used
The figure above suggests that robbers mostly tend to use either the front door or the rear door to
gain access.
Rear Door
55%
Front Door
45%
The Number of Times each Entry Exit was Used
Rear Door Front Door
The figure above suggest that most robbers tend to use the rear door (55%) to exit after
committing crime.

YRP PRPS TPS SSMPS
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Number of Cases Handled by each Police Service
Police Service
Number of Times Used
The figure above indicates that most criminal cases are reported to either YRP or TPS (4 cases
each).
The figure above suggest that there are footprints in most crime scenes (64%).
Yes
64%
No
36%
Footprint Presence in the Crime Scene
Yes No

Yes
36%
No
64%
Presence of Surveillance in the Crime Scene
Yes No
The figure above suggests that majority (64%) of the crime scenes don’t have surveillance in
place.
Jewellery Cash Safe Car Keys Ipad Laptop
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Most Stolen Items
Item
Number of Times Stolen
The figure above suggests that jewelry and cash are the most sought-after items by robbers.

Asian Caucausian Italian Iranian Russian
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Number of Cases Reported per Group of People
Groups
Number of Cases
The figure above indicates that Asians are ones who are most affected by crime and they are are
closely followed by Caucasians.
City Day of the Week Number of Cases
Reported
Vaughan Wednesday 2
Toronto Monday 3
Toronto Tuesday 1
Mississauga Tuesday 1
Mississauga Tuesday 1
Bradford Monday 1
Markham Friday 1
The table above suggests that Mondays in Toronto are the riskiest days since they recorded the
highest number of criminal cases (Boba, R. 2011).

Recommendation
Basing on the criminal analysis findings, people are recommended to have surveillance in place
both in their residential areas mostly situated at the front door, rear door and work places, police
and CIB in Toronto should be more active on Mondays, and lastly, the CIB should be trained
further on how to use footprints to trace the criminals (Peterson. 2014).

References
Boba, R. (2011). Introductory guide to crime analysis and mapping. Community Oriented
Policing Services. USA.
Peterson, M. B. (2014). Applications in criminal analysis: A sourcebook (pp. 90-91). Westport,
CT: Greenwood Press.