Statistics Canada released the police
reported crime statistics for Canada in 2025 last week and the overall
trends were a decline in both the conventional Crime Rate (CR) as well as the
Crime Severity Index (CSI). According to
Statistics Canada, in 2025 the national CSI dropped by 5 percent while the CR
declined by 2 percent. In other words,
both the number of crimes per 100,000 population (excluding traffic violations)
fell as well as the seriousness of those crimes. Relative to their historic peak in the early 1990s,
crime rates are still down dramatically though they are up from 2015 which
marks the start of a reversal of the long-term downward trend. However, since
2023, both crime severity and crime rates appear to have declined.
Ontario reflects the national trends with crime severity in
2025 down 6 percent from the year previous (though still up 12 percent from
2015) and the crime rate down 4 percent from the previous year but up 20
percent from 2015. The Ontario numbers
vary when its major CMAs are examined with quite a few CMAs up while others are
down. However, the largest cities –
Toronto and Ottawa – are both down and they of course affect the provincial
totals dramatically given together they account for well over half of Ontario’s
population. As for northern Ontario CMAs
– Greater Sudbury in 2025 saw a 2 percent decline in its CSI but a 3
percent increase in its crime rate while Thunder Bay saw a 3 percent increase
in its CSI and an 18 percent rise in its crime rate – the largest increases
across Canada’s 41 CMAs. However, Thunder Bay did not have the highest total
crime rate in the country as that dubious distinction went to Chilliwack, B.C.
(at 11,455 crimes per 100,000) while Thunder Bay was a bit further down the
list in 6th place (after Kamloops, Red Deer, Nanaimo and Kelowna) at 8,373 crimes per
100,000.
Comparing Thunder Bay to the other major Ontario CMAs is done in Figure 1 and Thunder Bay definitely stands out when compared to other Ontario
cities. Thunder Bay is first at 8,374
crimes per 100,000 with Peterborough second at 5,386. At the bottom are Toronto and Barrie at 3,950
and 3,777 respectively. In terms of
growth (Figure 2), about half of Ontario CMAs saw their crime rates decline and the other
half saw an increase. Thunder Bay is not
only growing in terms of population, housing, construction and retail but also unfortunately
with respect to crime. Thunder Bay saw
the largest increase at 18 percent followed by Brantford at 10 percent and then
London at 7 percent. Toronto and Windsor
saw the largest declines at 5 percent and 10 percent respectively.


A logical question is what policing resources are available to
these Ontario cities to fight crime and Figure 3 presents police officers per
100,000 using data from Statistics Canada (TABLE 35100077). Here it should be noted that the crime
figures correspond to CMAs, whereas the police statistics are for municipal police
services whose boundaries may not exactly correspond with the CMA boundaries. Nevertheless,
the rankings proceed and here Thunder Bay is again at the top of the rankings
of these Ontario municipal forces with 197 police officers per 100,000 in 2025.
Next highest is Windsor at 172 followed by Toronto at 171. At the bottom of the rankings are London,
Ottawa and Kitchener-Waterloo-Cambridge (Waterloo Region Police) at 143, 135
and 118 officers per 100,000 respectively. Thunder Bay has the highest
crime rate across major Ontario cities and it has the
highest policing resources per capita.

However, Figure 4 looks at the policing resources in a
somewhat different way. It looks at the
growth in police officers per 100,000 and does so between 2023 and 2025
(because Statistics Canada’s annual data does not have an entry for 2024). Here
the numbers show that while the majority of Ontario municipal police forces saw
growth in police officers per 100,000 – about one third did not. Those showing a decline are Sudbury, Windsor,
Kingston, Thunder Bay and Brantford. Of these five cities showing a decline in
policing resources per capita, four also saw an increase in crime rates in 2025
with the exception being Windsor.

So, is there a relationship between policing resources and
crime? Simple correlations between police
numbers and crime rates are probably not the best way to evaluate this type of relationship
and a regression approach where confounding factors like demographics, community
income and land area are considered are better.
Some might argue that wealthier communities with better socio-economic conditions
can both afford more police as well as have the determinants for lower crime
rates. Some might argue that more police
simply means more crime gets reported and could paradoxically result in a
positive relationship between crime rates and policing. Nevertheless, it can be
done simply and Figures 5 and 6 are presented together because they show an
interesting feature of the data when you plot the crime rate against the number
of police officers.

Figure 5 plots the crime rate per 100,000 for all the
Ontario CMAs against the number the number of police officers per 100,000 and
the correlation is positive when a linear trend is fitted. However, that trend
is heavily influenced by one observation in the northeast corner of the chart
which "pulls" the line upward. That is
Thunder Bay. If you remove Thunder Bay
and redraw the chart with linear trend (Figure 6) you get the more conventional
result that more police officers per capita are correlated with lower crime
rates. Thunder Bay is what one can refer
to as an “outlier”. It is not like the
others.
Of course, it might be that using levels is not the way to
do such a comparison and what might be better is to plot the recent growth in
the crime rate against the recent growth in police officers per 100,000. This is done in Figure 7 and the result is
(including Thunder Bay) more conventional and in line with the expectation that
if the number of police officers per 100,000 population is growing, the crime
rate should see lower growth rates or even declines. Thunder Bay in this chart
is in the northwest quadrant with a decline in per capita police resources in 2025 and
an increase in crime rates.

Still, Thunder Bay even if its recent policing resources per
capita have declined, nevertheless has the most police officers per capita
of the Ontario cities in this comparison.
Does this mean there is an efficiency or effectiveness problem? Again, one way
to look at this is to take the statistics and compute the reported crimes per
police officer. Figure 8 does this and
the ranking shows that Thunder Bay has the third highest reported crimes per
police officer of these Ontario cities.
In other words, there are a lot of crimes being reported by the
police. If one wants to use crimes reported
per police officer as a productivity or effectiveness measure, then the Thunder
Bay Police Service is one of the most “productive or effective” in Ontario. They are catching a lot of crime.

What does this mean for crime in Thunder Bay? Why are crime rates in Thunder Bay so high
despite having one of the largest police forces in per capita terms? It is because Thunder Bay simply has a lot of
crime and it is getting worse and overwhelming the resources available. If one may hypothesize, Thunder Bay is indeed
unique in some of the economic and social forces that have shaped its past and
continue to shape its future. It is
located at the crossroads of the country which means it is a transport node not
only for grain, potash and transport trucks but also for criminals and criminal
activity.
In terms of social elements, Thunder Bay is a community that has always had a frontier
edge and that includes an element of independence that can often border on
lawlessness. While it is true that Canadian
cities have all become a bit more lawless in the wake of the COVID pandemic,
Thunder Bay seems further along the path when compared to even the GTA. Lawlessness
progresses in degrees. Not following
parking bylaws for snow removal or walking your dog across other people’s lawns
is the start and suggests a lack of concern for others and the public good. Indulging in rolling stops at stop signs,
speeding and then running a red light is the next step. I have
seen vehicles doing U-turns on the Thunder Bay expressway seemingly oblivious to
other traffic. Increased theft in stores
is yet another progression and then there is the infiltration of Thunder Bay by
increased numbers of drug dealers coming from Toronto
due to it being both a captive and lucrative market in its own right as well as
a gateway to northern
reserves. Then comes the litany of
domestic abuse and household violence largely springing from drug and alcohol
abuse which also consumes police resources.
The police in Thunder Bay are essentially being overwhelmed.
They are being asked to solve not only
Thunder Bay’s crime and social problems – which are substantial in their own
right - but to deal with a wider range of provincial and national crime trends
due to Thunder Bay’s location as a transport crossroads. Do you want to see
crime rates in Thunder Bay come down?
Additional resources from the O.P.P. and the R.C.M.P need to be deployed outside the city limits along the highways leading to the city as well as the airport, port and railyards. Sniffer
dogs going through luggage at the airport and a more visible police presence
there is needed. There should be a lot more
“seat belt” checks and “speeding enforcements” on the 11/17 and Highway 61 corridors
leading to the city as well as more transport truck “safety inspections.”
It is not just the resource available but how they are
deployed and used. Moreover, crime fighting
requires cooperation across jurisdictions and better coordination of efforts
between the assorted policing levels. Thunder
Bay’s crime rate can be reduced but given the national and regional spillovers
of the problem both into and out of Thunder Bay, it is not just the responsibility
of the Thunder Bay Police Service. In
some ways, Thunder Bay’s role as a transport choke point is both the source of
its crime problems and can facilitate its potential solution. At least, that is
what the numbers are telling me.