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Peak peds / hour
3,000+ flagship
1,500–2,999 major
800–1,499 strong
400–799 solid
200–399 moderate
80–199 light
61% on-site counts · 37% refreshed from nearby data · 3% old counts (faded dots)
TTC transit
Line 1 · Yonge-University
Line 2 · Bloor-Danforth
Line 4 · Sheppard
Streetcar / LRT
Subway station
GO Transit · GTA-wide
Lakeshore West / East
Kitchener / Milton / Barrie / RH / Stouffville
GO Rail station
Future transit
Under construction
Proposed
Source: OpenStreetMap
Vehicles / hour
quietbusyarterial
Cap at ~5,500 veh/hr (DVP/Gardiner peak)
Bikes / hour
250+ flagship corridor
100–249 major route
50–99 notable
20–49 some
5–19 light
Developments — by type
Rezoning (OZ)
Site plan (SA)
Consent (CD)
Subdivision (SB / PL)
Zoning amendment (ZBA)
Minor variance (MV)
Condominium (CO)
Solid ring = approved · faded = proposed.
Source: City of Toronto Open Data.
Source: City of Toronto Open Data.
Business churn (food/bev)
≤15% · stable
15–22%
22–30%
30–40%
40%+ · graveyard
insufficient data (<10 in cohort)
Per BIA · closure within 24mo of issue, cohort 1–3y ago.
Existing patios (CaféTO)
Curb lane café
Sidewalk café
Private property patio
1,525 active patios · Toronto Open Data.
Heritage register
Listed / designated property
12,327 properties (zoom in to see). Source: Toronto Heritage Register.
Liquor permits (5y)
0 · residential
1–25
25–75
75–200
200–400
400+ · entertainment district
Special-occasion + hours/premise extensions, municipally endorsed by City of Toronto. Toronto Open Data.
DineSafe — % with issue (12mo)
<5% · clean
5–10%
10–18%
18–28%
28%+ · high issue density
insufficient data (<3 establishments)
Conditional Pass or Closure inspection result. Toronto Public Health, daily refresh.
Residents per restaurant
<100 · saturated
100–230
230–500 · median
500–1,000
1,000–2,500
2,500+ · underserved
no restaurants / no data
Population (2021 census) ÷ deduped restaurant count, per 158 neighbourhoods.
Residents per cafe
<300 · saturated
300–700
700–1,400 · median
1,400–3,000
3,000–7,000
7,000+ · underserved
no cafes / no data
Population (2021 census) ÷ deduped cafe count, per 158 neighbourhoods.
Foot traffic — peds / hour
3,000+ flagship
1,500–2,999 major
800–1,499 strong
400–799 solid
200–399 moderate
80–199 light
300m cells, value = nearest intersection
Toronto Open Data · latest count —
Old counts refreshed from nearby recent data where available · faded cells = no refresh possible
OSM walkability proxy
70+ high
40-69 medium
20-39 low
<20 very low
OpenStreetMap-derived score from footways, crossings, POIs, and transit stops. Proxy layer, not measured pedestrian counts. Color = score: green is most walkable, orange is most car-dependent.
Zoom in past street level for individual cell scores.
Venue density
Cafés
Restaurants
Bubble size + label = venue count per cell — resolution sharpens as you zoom in. Click a cell for indie/chain split and top cuisines. Counts only — never venue names or addresses.
Aggregated from OpenStreetMap data · cells under 3 venues are merged or hidden to protect small businesses.
Extra layers