Neighbourhood Profiles leads Toronto's open data portal — and 311 complaints power the most community reuse

Asked (summary)

Which datasets on the City of Toronto's open data portal (open.toronto.ca) are most valuable to citizens? Rank the top 15 by evidence of citizen value — download counts, views, community reuse (apps, dashboards, journalism), official "most popular" listings, or citation in news and community projects — with category, coverage, specific evidence, and source URL for each.

An evidence-weighted ranking of the 15 datasets on open.toronto.ca with the strongest discoverable proof of citizen value, scanned through October 2026. Each dataset is scored from official City popularity statements (12 points each), independent hosts documenting reuse (4 points each), and distinct reuse mentions (1 point each); exact download and view counts are generally not published, so official ordinal statements stand in verbatim.

Evidence score, by type:official popularity evidence — the City named it a top-visited, top-downloaded or "very popular" datasetcommunity reuse evidence — apps, dashboards, journalism and research built on it. Hover a bar for the full evidence.

The City calls Neighbourhood Profiles the portal's most-viewed dataset; it topped 2022 visits and was one of only two datasets in the 2022 top-five downloads — open.toronto.ca

311 Service Requests has no official popularity listing yet ranks second: six documented reuse projects across five independent hosts, from Better My City to The Local's "Geography of Complaint" — github.com

Elections traffic is event-driven: an October 2022 surge around the fall election and another jump in summer 2023 for the mayoral by-election — open.toronto.ca

Four of the fifteen leaders are transportation datasets — speed cameras, bike share, parking tickets and the street centreline — all carried by community reuse rather than official listings — github.com

#	Dataset	Category	Covers & evidence	Official mentions	Reuse mentions	Reuse hosts	Score	Source

Method: evidence-weighted editorial ranking of 15 City of Toronto open datasets, one row per dataset, built from official Toronto Open Data analytics and quarterly updates plus apps, GitHub projects, civic-tech pages, journalism and research surfaced on the live web through 2026-10-09 — not an official City league table. Score = 12 points per credible official popularity statement + 4 points per independent reuse host + 1 point per distinct reuse mention. Q2 2026 crime-dataset traffic the City suspected was bot-driven was heavily discounted; the April Fools raccoon dataset was excluded. Exact download/view counts were not published, so official ordinal statements are kept verbatim; categories are normalized broad portal-style labels where page metadata was not machine-readable. Each source link is the strongest single source for its row; evidence text may summarize several discovered sources, and no single URL supports more than half the rows.

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