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Guide · Reading the data

How to read neighbourhood statisticsA short guide to not fooling yourself with local data

Neighbourhood-level numbers are easy to misread. The same statistics that honestly describe an area can, read carelessly, paint a misleading picture of it. Here is what to keep in mind with the numbers on this site — or anyone else's.

Raw counts are not rates

A neighbourhood with 1,500 calls is not automatically "worse" than one with 150. Areas differ enormously in population, and even more in daytime population — a downtown core hosts office workers, shoppers, tourists, and transit riders who don't reside there. More people means more of everything: more medical emergencies, more alarms, more disputes. The busiest areas on this site are busy mostly because they are the most-used places in the city.

Land use drives call mix

What an area contains shapes what gets dispatched there. Hospitals and care homes generate medical calls; nightlife strips generate disorderlies at closing time; highways generate collisions; industrial land generates alarms with few residents around. Before reading a number as a statement about safety, ask what is physically in the area.

Small numbers are noisy

In a quiet neighbourhood averaging 20 calls a month, three extra calls is a 15% jump — a headline-looking change that means almost nothing. Treat percentage swings in low-volume areas with heavy skepticism, and give more weight to the monthly history line on each page than to any single month-over-month change. Explore's own highlight cards apply minimum-volume floors for exactly this reason.

One month is a snapshot

Weather, events, holidays, and plain randomness move monthly numbers. The history chart on each neighbourhood page shows whether this month is typical for that area — which is more informative than comparing the area to somewhere else.

Dispatch is activity, not verdicts

Everything here counts dispatched responses — including the large share that turn out to be minor, unfounded, or purely medical. For why that distinction matters, read dispatch data vs. crime statistics.

A quick checklist

Before drawing a conclusion from a neighbourhood page: check the area's rank and its per-day numbers; check the call mix (is the volume mostly medical and alarms?); check the history line (typical month or outlier?); and remember the limitations that apply to all of it.