TorontoList Presentation Handout

Toronto data, ready to present.

169,269 indexed records, 158,709 historical licence records, 5,513 drilldown charts.

Talk Track

  1. A single local graph of Toronto activity.

    169,269 indexed records across events, places, people, services, and City of Toronto business licence history.

  2. Business licences are the backbone dataset.

    158,709 historical City licence records, 37,340 active records, and 121,369 cancelled records.

  3. Business activity is uneven across the city.

    Ward charts show where licence density concentrates and how active/cancelled balances differ by local geography.

  4. Food and drink is the largest story.

    The drilldown atlas can isolate food and drink by ward, raw licence class, and active status.

  5. The archive spans from 1946 to current updates.

    The latest local City record update in this pack is 2026-05-27.

  6. Issuance patterns are visible by category.

    Month-by-category heatmaps reveal waves of licensing and operational shifts.

  7. Streets reveal Toronto's commercial spine.

    Yonge, Bloor, Dundas, Danforth, Queen, and King dominate the corridor analysis.

  8. Conditions and endorsements expose operational rules.

    Licence conditions show seating, zoning, subcontracting, and use constraints across categories.

  9. Postal and source coverage show where the data is strongest.

    FSA and source charts help explain confidence, coverage, and where additional enrichment should go next.

  10. The chart engine is reusable.

    Every chart is generated from CSV/JSON into browser-ready output. Curated charts export to SVG, Vega-Lite, ECharts, Plotly, and Observable Plot.

Top Findings

  1. The dataset is now large enough for city-scale storytelling.

    169,269 indexed records. TorontoList combines events, places, people, services, and City business licence history into a single presentation layer.

  2. City business licences dominate the evidence base.

    158,709 historical licence records. 37,340 active and 121,369 cancelled records are available locally.

  3. Food and Drink is the largest business category.

    42,518 records. Category-level aggregation makes the licence archive legible without reading raw municipal class names.

  4. Food and Drink leads active licence records.

    9,619 active records. Active records are the most useful signal for current market and neighbourhood views.

  5. Ward 11 has the highest licence concentration.

    10,822 ward records. Ward-level charts provide a quick path into council-district and neighbourhood analysis.

  6. Yonge St is the strongest commercial corridor in the archive.

    7,507 street records. Street aggregation turns licence data into a corridor map for retail, food, and services.

indexed records

The dataset is now large enough for city-scale storytelling.

TorontoList combines events, places, people, services, and City business licence history into a single presentation layer.

The dataset is now large enough for city-scale storytelling.
historical licence records

City business licences dominate the evidence base.

37,340 active and 121,369 cancelled records are available locally.

City business licences dominate the evidence base.
records

Food and Drink is the largest business category.

Category-level aggregation makes the licence archive legible without reading raw municipal class names.

Food and Drink is the largest business category.
active records

Food and Drink leads active licence records.

Active records are the most useful signal for current market and neighbourhood views.

Food and Drink leads active licence records.
ward records

Ward 11 has the highest licence concentration.

Ward-level charts provide a quick path into council-district and neighbourhood analysis.

Ward 11 has the highest licence concentration.
street records

Yonge St is the strongest commercial corridor in the archive.

Street aggregation turns licence data into a corridor map for retail, food, and services.

Yonge St is the strongest commercial corridor in the archive.