Between May 22, 2026, and July 21, 2026, London recorded 3,336 total incidents while Toronto recorded 6,737 total incidents. The category with the largest raw-count difference between the two cities was assault, with Toronto reporting 3,599 incidents compared to 312 in London, representing a difference of 3,287 incidents. During this same 61-day period, London's top recorded category was other incidents at 1,325, while Toronto recorded 1,759 theft-related incidents.
Between May 22, 2026, and July 21, 2026, London recorded 3,336 total reported incidents, whereas Toronto recorded 6,737 total reported incidents. Because both municipal police services published public open-data records spanning this exact 61-day date range from May to July 2026, this comparison evaluates incident figures across identical dates in both Ontario municipalities.
Across this shared timeframe, category totals highlighted noticeable differences in reporting profiles between the two cities. Toronto registered its highest volume in assault, totaling 3,599 incidents, compared to 312 in London. In contrast, London reported 1,325 incidents categorized as other, whereas Toronto logged 0 incidents in that specific classification. Furthermore, theft-related incidents totaled 1,759 in Toronto and 592 in London, while break and enter reached 830 in Toronto and 527 in London.
Between May 22, 2026, and July 21, 2026, London logged 3,336 total reported incidents while Toronto registered 6,737 total reported incidents. The largest absolute difference between the two municipalities occurred in assault, where Toronto recorded 3,599 incidents compared to 312 in London, representing a difference of 3,287 incidents. The second largest divergence appeared in the category defined as other, with London recording 1,325 incidents while Toronto logged 0 incidents, producing a difference of 1,325 incidents. Additionally, theft-related incidents showed a notable gap, as Toronto reported 1,759 incidents compared to 592 in London. Break and enter also differed, with 830 in Toronto and 527 in London, alongside 344 robbery incidents in Toronto versus 26 in London.
The May 22 to July 21, 2026 data reveals major structural differences in how police categories distribute between London and Toronto. Toronto's dataset is predominantly led by assault with 3,599 incidents, forming the largest share of its 6,737 total incidents. In contrast, London's primary category is other at 1,325 incidents, followed by theft-related incidents at 592 and break and enter at 527, with assault accounting for 312 incidents. Additionally, categories like mischief and fraud are explicitly itemized in London's feed but register 0 occurrences in Toronto's map feed.
Between May 22, 2026, and July 21, 2026, London recorded 3,336 total reported incidents, whereas Toronto recorded 6,737 total reported incidents. Both totals represent the public open-data mapping records published by their respective police services for this identical 61-day timeframe in Ontario.
During the selected period from May 22, 2026, to July 21, 2026, Toronto logged 3,599 reported assault incidents, while London logged 312 assault incidents. Assault was the single largest category in Toronto's dataset during these 61 days, whereas it ranked behind other and theft-related incidents in London.
Municipalities operate separate open-data update schedules and reporting workflows. For example, published overall windows can differ slightly, such as Toronto's published window covering May 25 to July 24, 2026 (6,867 incidents) while London's covers May 22 to July 21, 2026 (3,336 incidents). This page filters both feeds to a shared range of May 22 to July 21, 2026, where Toronto has 6,737 incidents.
Under the normalized classification used for comparison, theft-related incidents combine general theft, auto theft, and theft from vehicle. Between May 22, 2026, and July 21, 2026, Toronto recorded 1,759 theft-related incidents, while London recorded 592 theft-related incidents. Combining these subcategories ensures an equivalent comparison across municipalities with different reporting definitions.
This analysis uses open data published by municipal police services via open-data portals in Ontario.