Grange Park
Neighbourhood Park, one of the city's strongest overall (score 60, rank ~100th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by Silvana Klaric Boricic via Google Places · cached 5/9/2026
Grange Park scores 59.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (28.4). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.83 ha
Weighted across six dimensions · confidence 66%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 60 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
Sum of contributions = the headline score. A negative bar means that dimension dragged the park below the city-wide neutral baseline.
Why this park works
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- Connectivity (80) significantly outpaces natural comfort (42) — well placed in the city but offers little shade or ecological respite.
- 7 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 60) but weak observed activity signals (8) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (80) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- This park is a strong overperformer for its cohort — raw 60 versus an expected 37 for similar parks (medium Neighbourhood Park) (gap +22).
Typology classification
Classified as Neighbourhood Park: 1.8 ha, framed by 52 mid-rise vs 7 towers
Edge Activation
Within 100 m of the park edge: 24 active uses (restaurant, retail, cafe, community) and 3 dead/hostile uses (parking_lot). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 36 mapped paths/walkways and 25 sidewalk segments within 50 m; 22 street intersections within 100 m; 32 transit stops within a 400 m walk; 8 estimated access points across ~725 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
3 distinct amenity types in the park (dog_area, playground, washroom). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~9.5% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 25 city-mapped trees inside the polygon (13.6/ha). Reading: exposed. Source coverage: street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
84 buildings within 25 m of the park edge (52 mid-rise, 25 low-rise, 7 tower); avg edge height 17.5 m (~6 floors); 11.6 buildings per 100 m of 725 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 7 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 52 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they suppress foot traffic and isolate the park from its neighbourhood.
Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints
Equity Context
Equity Context requires inputs not yet loaded for this park (Toronto Neighbourhood Profiles). Score is held at a neutral 50 with low confidence — read with caution.
Source: Toronto Neighbourhood Profiles
Amenities (3 types · 3 records)
- dog area
- playground
- washroom
Nearby active-edge features (80)
- community — Toronto Chinese Baptist Church Senior Citizen Centre31 m
- retail — June Hairdresser On Fire36 m
- parking lot45 m
- parking lot53 m
- retail — Cheers Smoke Shop54 m
- cafe — Thor Espresso54 m
- retail — Carolyn McAuley Hair Studio55 m
- restaurant — McDonald's78 m
- cafe — Coffee Exchange80 m
- restaurant — Kezy Döner81 m
- restaurant — Wafflian82 m
- cafe — Ka-Nom83 m
- restaurant — Manpuku83 m
- restaurant — Village by the Grange84 m
- restaurant — La Sani Grill85 m
- restaurant — The Bowl Korean Food85 m
- restaurant — Karine's86 m
- retail — Grange Green Farms88 m
- cafe — Fruiteao91 m
- restaurant — Sushi Cafe Bon Gung92 m
- parking lot93 m
- restaurant — Popeyes94 m
- restaurant — Pho 36994 m
- retail — OCAD U Copy & Print Services94 m
- restaurant — Jaffna Street Food96 m
- restaurant — Thai Bright98 m
- retail — Umbra100 m
- restaurant — Tasty Chinese Food101 m
- restaurant — Black Mill Tea103 m
- retail — Grange Lottery & News104 m
- restaurant — Nai Nai104 m
- parking lot104 m
- restaurant — The Fresh Italian Eatery106 m
- restaurant — Eats Manilla107 m
- retail — Jerk King109 m
- retail — Tibetan Jewelry115 m
- transit stop — Beverley Street115 m
- transit stop — Stephanie Street116 m
- transit stop — Beverley Street116 m
- retail — Lucky Moose Food Mart116 m
- transit stop — McCaul Street118 m
- community — Dorothy H. Hoover Library120 m
- restaurant — Yakiniku Legend120 m
- retail — Pat's Barber Shop120 m
- restaurant — Top Bistro121 m
- retail — GT E-Bike122 m
- cafe — Tuck Shop Provisions123 m
- cafe124 m
- retail — Get Me Fly125 m
- retail — Ye Perfect Nail & Spa127 m
- restaurant — DZO129 m
- retail — Village Custom Cleaners129 m
- retail — Wizard Mart130 m
- retail — 車子130 m
- retail — Queen Dry Cleaners130 m
- restaurant — Pizzaiolo130 m
- retail — Perfect X Hair130 m
- transit stop — McCaul Street132 m
- restaurant — Village Idiot Pub132 m
- retail — Canada Robotix132 m
- retail — Star Vape133 m
- restaurant — Oh My Gyro!133 m
- retail — Perfect Threading & Beauty Salon133 m
- retail — E's House134 m
- retail — i8Yokocho135 m
- restaurant — Chengdu Street Food139 m
- retail — The Tec Fixer139 m
- parking lot140 m
- cafe — The Library Specialty Coffee142 m
- retail — Emy's145 m
- parking lot145 m
- restaurant — Gallery Sushi146 m
- restaurant — Gallery Sushi146 m
- retail — Gardenview Convenience146 m
- retail — Opteaq Eyecare148 m
- cafe — Nord Lyon Cafe149 m
- retail — Tribal Rhythm149 m
- retail — New You Spa149 m
- retail — BMV Books149 m
- restaurant — German Doner Kebab149 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality100th
- Edge activation97th
- Connectivity99th
- Amenity diversity95th
- Natural comfort41th
- Enclosure96th
Most similar parks
Closest in metric space across the five structural dimensions.
- Wells Hill ParkParkette61
- Stanley Park South - TorontoAthletic / Recreation Park60
- Masaryk ParkUrban Plaza56
- East Toronto Athletic FieldNeighbourhood Park50
- Trace Manes ParkAthletic / Recreation Park55
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: 171 public mentions. The strongest signal is consistent rhythm across the day. Source coverage: google-places, wikipedia.
Does this score feel accurate?
Your read of Grange Parkmatters. We’re testing whether the model lines up with how people actually use the park. Submissions are stored locally; no account needed.
Tell us how this park feels
We measure structure (canopy, edges, connectivity). You measure feeling. Both matter — and disagreement is itself useful civic data.
What would improve this park?
Generated from the weakest measured dimensions — a starting point, not a prescription.
- Diversify what people can do in the park — playground, washroom, water, shade, performance, sport, garden — even small additions raise this score.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
Data sources
- City of Toronto Open Data — Parks (Green Space)Polygon boundaries, official names, types.
- Parks & Recreation FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.