Henrietta Park
Urban Plaza, above average overall (score 44, rank ~84th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by nick knickle via Google Places · cached 5/9/2026
Data updated
Henrietta Park scores 44.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (6.3). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.26 ha
What's here
Getting around
100 m of mapped path. Too little surface tagging to say how much is paved.
Too little path mapped to check for steps.
Not enough mapped seating to assess (1 bench mapped).
Nearest parking 54 m away. None of the 7 nearby lots records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 66%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 44 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
Henrietta Park works because its connectivity score (64) is above average and its enclosure (76) is also top quartile (12 intersections fall within 100 m of the edge).
What limits this park
Henrietta Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (64, top quartile).
Jacobs reading
Henrietta Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (76) but the surrounding streets are quiet (edge activation 6): frame without animation.
Typology classification
Classified as Urban Plaza: 2562 m², paved (0% canopy), 33.3 buildings/100 m
Edge Activation
Within 100 m of the park edge: 1 active uses (retail) and 1 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 3 mapped paths/walkways and 14 sidewalk segments within 50 m; 12 street intersections within 100 m; 3 bus stops within a 400 m walk; 6 estimated access points across ~237 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. All data sources.
Amenity Diversity
3 distinct amenity types in the park (playground, bench, drinking_water). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: ~9.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~335 m; 13 city-mapped trees inside the polygon (13.0/ha). Reading: exposed. Source coverage: waterbodies, 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. All data sources.
Enclosure / Eyes on Park
79 buildings within 25 m of the park edge (4 mid-rise, 75 low-rise, 0 tower); avg edge height 5.9 m (~2 floors); 33.3 buildings per 100 m of 237 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 4 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
Source: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (3 types · 4 records)
- playground
- bench
- drinking water
Nearby active-edge features (38)
- parking lot54 m
- retail: Ken Shaw Toyota87 m
- cafe: The Stockyards Grind102 m
- parking lot119 m
- community: Islamic Social Services and Resources133 m
- retail: Ken Shaw Lexus137 m
- retail: Eagle Autowerks140 m
- retail: Auto Collisions 7141 m
- retail: West Toronto Auto144 m
- retail: Jansu Jan Designer Studio144 m
- retail145 m
- retail: Silver Automotive Repairs Ltd.147 m
- retail: San Jose Mexican Foods147 m
- retail: Dufferin Motors & Tires150 m
- parking lot152 m
- restaurant: Miss Pho Express152 m
- retail: Rally Auto Repair156 m
- retail: Ahon Auto Parts162 m
- retail: Tay Ha Hair Salon164 m
- parking lot165 m
- retail: St. Clair Cannabis169 m
- retail: Anti-Oxidant Water Shop172 m
- restaurant: Bigger’s Restaurant173 m
- retail: On the Run176 m
- restaurant: The Palms Jerk & Grill178 m
- parking lot183 m
- retail: Atlantis Nails Art183 m
- restaurant: Tan Dinh Quan Vietnamese Cuisine183 m
- restaurant: Dizzy Dingo Bar and Grill184 m
- cafe: Starving Artist187 m
- retail: Coin Laundry Maytag188 m
- retail: Lifestyle Beauty Salon188 m
- parking lot188 m
- retail: Kim Thanh189 m
- restaurant: Mua Bui Karaoke191 m
- retail: Tom's Barber Shop192 m
- retail: Ken Shaw Toyota Pre-Owned Centre194 m
- parking lot197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality84th
- Edge activation66th
- Connectivity83th
- Amenity diversity77th
- Natural comfort45th
- Enclosure79th
Most similar parks
Closest in metric space across the five structural dimensions.
- Everett ParkUrban Plaza43
- Upper Junction ParkUrban Plaza37
- LEASIDE MEMORIAL COMMUNITY GARDENS ARENA - Building GroundsCivic Square33
- Phil Givens ParkParkette42
- Coronation Park - EtobicokeParkette39
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- Arnell PlazaCivic Square50
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p55 citywide · p52 within Urban Plaza
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals: not available
No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.
Does this score feel accurate?
Your read of Henrietta Park matters. 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.
- Activate the edges: encourage cafés, retail or community uses on the streets that face the park; replace blank or parking-lot edges where possible.
- 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: Green SpacesPolygon boundaries, official names, land classes. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.