Le Plateau-Mont-Royal (PDQ 38), Montreal
Montreal · neighbourhood
| Latest 24h | 2 incidents |
|---|---|
| 2025 incidents | 1,912 |
| Latest year (archive) | 1,133 incidents · 8.5% of city |
About this neighbourhood
TL;DR. Le Plateau-Mont-Royal (PDQ 38) recorded 1,133 incidents in the latest 24‑hour snapshot, representing 8.5 % of Montreal’s total 13,407 reported crimes. The neighbourhood’s crime profile is dominated by break‑and‑enter offences, which account for 349 incidents, followed by auto theft (275) and theft from vehicle (236). Violent crimes were relatively low, with 88 incidents, including a single homicide. Mischief contributed 189 incidents and robbery added 83.
About this data
Le Plateau-Mont-Royal (PDQ 38) is a vibrant neighbourhood in Montreal, Quebec. During the reporting period it recorded 1,133 criminal incidents, representing roughly 8.5 % of the city‑wide total of 13,407 incidents. This makes the area one of the most active zones in the city’s open‑data set.
The data cover incidents logged in August 2026, based on a synthetic monthly snapshot rather than exact daily timestamps. Counts are scaled to the city’s year‑to‑date totals through July, allowing comparison across neighbourhoods while acknowledging that boundary definitions can shift between years. Because the dataset aggregates a full month, any daily spikes are not visible, and the figures reflect the most recent 24‑hour window as of 14 August 2026, adjusted for reporting delays.
Recent trend
The incident records for Le Plateau‑Mont‑Royal span August 2026, derived from a synthetic month‑start placeholder that aggregates all reports within that period. While the dataset is scaled to Montréal’s year‑to‑date totals through July, users should note that neighbourhood boundaries are periodically revised, meaning counts from different years may not be directly comparable. This temporal framing ensures consistency for the current snapshot but limits the ability to track precise daily trends. Hence, analyses focusing on month‑level patterns are more reliable than those attempting day‑by‑day granularity.
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