Toronto · intersection · signal 2146

Belfield & Iron

Belfield Rd & Iron St · Toronto, Ontario · West Humber-Clairville · Ward 1, Etobicoke North

In West Humber-Clairville, Belfield & Iron is a moderately travelled crossing. It has an accessible pedestrian signal at the corner. Nearby: 4 TTC routes within a kilometre.

Traffic volume
7,643
vehicles · 8-hour count, Feb 13, 2013
59 pedestrians · 4 cyclists
Collisions
48
police-reported, any severity · 2016–2025
9 with an injury · 36 property damage · #2118 of 5,508 · +1 since Jan 2026
KSI collisions
1
killed or seriously injured · 2016–2025
0 fatal · 0 pedestrian · 0 cyclist · #703 of 1,505
Red-light camera
None
not on the City's camera list
Transit
2
TTC stops within 100 m
3 bus routes within 1 km
Cycling
No bikeway
nothing on the City cycling network here
no Bike Share dock within 150 m

Across the 8-hour count, traffic averaged roughly 960 vehicles an hour, 83% of the median counted intersection. There is roughly one pedestrian for every 130 vehicles, well below the typical one per 13. On average 4.8 collisions a year were reported here in 2016–2025 — roughly the median for a Toronto intersection. The pace has been steady: 24 collisions in 2016–2020 and 24 in 2021–2025. Just one of those 48 collisions left someone killed or seriously injured.

Map

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Belfield & Iron

Getting here

Transit within 1 km, cycling at the corner, and what's within a 1.5 km walk

Transit & cycling

TTC bus
14546112 nearest 21 m
Express
927
Nearest stops
6 surface stops within 300 m — Belfield Rd at Iron St
Cycling
no bikeway on the City cycling network touches this intersection
Bike Share
no station within 1 km

Straight-line distances to the nearest stop or station entrance in each agency's current schedule feed, including temporary diversions.

Within walking distance 1.5 km

Schools (3)
  • Madresatul Banaat Almuslimaat SchoolPrivate · 564 m
  • Queen's CollegiatePrivate · 1.2 km
  • Kisomo Learning Centre SchoolPrivate · 1.3 km
Parks (0)
none within 1.5 km
Places of interest
  • Toronto Congress CentreConvention & Trade Centres · 947 m
Signal
2146, activated 2007 · SA2 · accessible (audible) pedestrian signal

Around the corner

Food premises, public washrooms, child care and emergency services — distances are straight-line from the node

Restaurants & food

No restaurant or café sits within 300 m of the corner; 6 eating places are within a kilometre — well below the median of 73 within a kilometre. The nearest is Wild Wing, 388 m away, which passed its last DineSafe inspection in October 2025.

Restaurants & cafés0 within 300 m · 6 within 1 km
Grocery & convenience0 within 300 m · 1 within 1 km
Nearest food premisesDistanceLatest DineSafe inspection
Wild Wing · 1120 Martin Grove Rd388 mPassed, Oct 2025
Brgr Barn · 1075 Martin Grove Rd498 mPassed, Aug 2026 · 2 infractions
Esso · 1075 Martin Grove Rdgrocery498 mPassed, Aug 2026
Heavenly Dreams Ice Cream Inc · 12 Vulcan St Unit-3560 mPassed, Jun 2026
Prime Coffee House · 124 Belfield Rd Unit-1592 mPassed, Mar 2026
The Scott Mission · 5 McLachlan Dr886 mPassed, Sep 2025
Toronto Congress Centre · 1020 Martin Grove Rd North906 mPassed, May 2026

Every establishment Toronto Public Health inspects under DineSafe, screened by name to leave out kitchens inside schools, care homes and offices. A conditional pass means infractions had to be fixed by a follow-up visit, not that the premises is closed.

Washrooms & water

No City washroom within 1 km.

Park washrooms, washrooms in City buildings and automated street toilets, with hours and status as the City publishes them (park washrooms are seasonal). Malls, shops and TTC stations are not included.

Child care

No licensed child care centre within 1 km.

Emergency services

The nearest fire hall is Fire Station 441 (1.0 km), the nearest police station 23 Division (4.8 km) and the nearest ambulance station 1.5 km away.

FireFire Station 441 · 1 km947 Martin Grove Rd
Police23 Division · 4.8 km5230 Finch Avenue West
AmbulanceAmbulance Station 14 · 1.5 km321 Rexdale Blvd

Nearest station by straight line — not a response time, and not necessarily the station that would answer a call.

Parking

Every mapped lot within 2 km, Green P with peak occupancy, City EV charging and bike parking

All parking lots388 lots · ≈136,730 spaces · 410.2 ha
Within 500 m28 lots · ≈15,220 spaces
Green P (public)none within 2 km
EV charging (City)none within 2 km
Bike parkingnone recorded nearby

Nearest lots: 75 m away, ≈450 spaces; 87 m away, ≈85 spaces; 97 m away, ≈49 spaces; 111 m away, ≈548 spaces; 162 m away, ≈327 spaces; 187 m away, ≈333 spaces.

Lot count and area from the City's topographic mapping of parking-lot footprints (every visible surface lot, public or private); spaces are estimated at one per 30 m² of lot. Lots not run by Green P are private, commercial or institutional and may be for customers or residents only. Green P spaces and average daily peak occupancy from the Toronto Parking Authority's quarterly dataset (* = capacity from the 2019 car-park list; rates are not shown because that list is stale — check Green P). EV chargers are City-operated only; on-street and underground parking are not included.

Traffic volume

The City's latest turning-movement count — 8-hour, Feb 13, 2013

The west leg carries the load — 3,489 eastbound vehicles, or 46% of everything entering — while the south leg brought 286. The afternoon peak is the heavier one — 1,393 vehicles in the hour from 4:00 p.m., 41% above the morning peak from 7:30 a.m. (986). Trucks and buses were 16.6% of traffic, well above the typical 3.2% — a sign of a goods-movement or bus corridor. The citywide median for a 14-hour count is 16,183 vehicles. The count is 14 years old — treat it as a snapshot of 2013, not today's volume. It was an 8-hour count, which is not directly comparable with the 14-hour counts the City has used since September 2023.

From the north411southbound · 0 bikes · 23.6% heavy
From the west3,489eastbound · 1 bikes · 14.6% heavy
Total vehicles7,64359 pedestrians · 4 cyclists · 16.6% heavy
From the east3,457westbound · 3 bikes · 15.0% heavy
From the south286northbound · 0 bikes · 48.3% heavy
AM peak hour986 vehicles from 7:30 a.m.
PM peak hour1,393 vehicles from 4:00 p.m.
Count8-hour · Feb 13, 2013

Approach figures are vehicles entering the intersection from that leg over the whole count. A count is one day's traffic, not an annual average; the City recounts on an ad-hoc schedule.

How fast traffic moves here

Midblock speed counts on the intersection's streets, the nearest school-zone speed sign, and traffic calming

The City's most recent midblock count on Iron St between Vulcan St and Belfield Rd (288 m away, Jun 2023) recorded volume only — about 995 vehicles a day — with no speed data.

Street segmentCountedVehicles / dayAverage85th percentile95th
Iron St · Vulcan St – Belfield Rd · 288 mJun 2023 · 7 days995
Belfield Rd · Martin Grove Rd – Iron St · 355 mJul 2023 · 7 days14,093

Midblock counts are automatic counters laid across the road for one to seven days; the 85th-percentile speed is the figure engineers use — 85% of drivers were at or below it. Counts are ad hoc, so some are years old. A midblock reading is not the speed through the intersection itself, and posted limits are not in the count data.

All police-reported collisions

Every collision reported to Toronto Police within 65 m, any severity, 2016–2025

2016 was the peak year (7 collisions), and 2025 closed with 6. 19% of collisions here involved an injury, above the 15% citywide. 3 drivers failed to remain at the scene — 6% of collisions, below the citywide 16%. None of the collisions in the window involved a pedestrian or cyclist. Since January 2026, 1 more collision has been reported; they sit outside the ranking window. The most recent report on file is from Feb 17, 2026.

By year

16171819202122232425
2016–2025Collisions
All reported collisions48#2118 of 5,508
With an injury9#1820 of 4,660
Property damage only36
Fail to remain3
Involving a pedestrian0
Involving a cyclist0
Involving a motorcyclist0
With a fatality0
Severity not classified3
Since January 2026 (outside the window)1
All since 201459latest Feb 17, 2026

Source: Toronto Police Service, Traffic Collisions Open Data — every collision reported to police since 2014, within 65 m of this node. Records through Jun 30, 2026.

Killed or seriously injured

Collisions in which someone died or was seriously injured, within 65 m, 2016–2025 — the basis of the danger rankings

One collision in 2016–2025 left someone seriously injured; it was not fatal. It involved vehicle occupants only — no pedestrian or cyclist. It happened in daylight or lit conditions. The most recent was on Sep 5, 2025.

By year

16171819202122232425
2016–2025Collisions
All KSI collisions1#703 of 1,505
Fatal0
Involving a pedestrian0
Involving a cyclist0
Involving a motorcyclist0
In darkness0
All KSI since 20061latest Sep 5, 2025

KSI = killed or seriously injured. A collision is counted if its recorded location is within 65 m of this intersection's centreline node, whether the police coded it as intersection-related or mid-block. Records can lag a year or more, so the current year is excluded from rankings.

Thefts reported at this corner

Thefts from vehicles and bicycle thefts that Toronto Police have offset to this intersection, 2016–2025

Toronto Police place 17 thefts from vehicles and no bicycle thefts at this intersection in 2016–2025 — 2.8× the median for a Toronto intersection with any reported theft. The pace has picked up: 7 in 2023–2025, about 2.3 a year, against 1.4 a year before that. 65% of the vehicle thefts were from the street or other outdoor spots.

By year

16171819202122232425
2016–2025Reported2023–2025Since Jan 2026Most often from
Theft from a vehicle1770street/outdoor (11), commercial premises (5)
Bicycle theft000

Source: Toronto Police Service, Theft From Motor Vehicle and Bicycle Thefts open data, records through Apr 25, 2025. Police offset every occurrence to the nearest intersection before publishing, so these are thefts on the streets and premises around this node, not necessarily at the corner itself. Other offences are published by neighbourhood only — see West Humber-Clairville.

Nearby intersections

Questions

Is Belfield & Iron a dangerous intersection?

It is not among the worst. 1 serious-injury collision was recorded in 2016–2025 (#703 of 1,505), out of 48 reported collisions of any severity. High counts usually track high traffic volume rather than a design flaw; volume is shown alongside so the numbers can be read in context.

How busy is Belfield & Iron?

A moderately travelled crossing. Its latest count is from Feb 13, 2013, 83% of the median for a counted intersection.

Where can I park near Belfield & Iron?

There is no Green P car park within 2 km. The City's mapping shows 388 parking lots of any kind within 2 km — roughly 136,730 spaces — 28 of them within 500 m; most are private or customer-only lots.

How do I get to Belfield & Iron by transit?

Bus routes 145, 46, 112, 927 within 1 km (nearest stop: Belfield Rd at Iron St, 21 m).

What restaurants are near Belfield & Iron?

None within 300 m, and 6 within a kilometre, according to Toronto Public Health's DineSafe inspection list. The closest are Wild Wing (388 m), Brgr Barn (498 m), Heavenly Dreams Ice Cream Inc (560 m), Prime Coffee House (592 m) and The Scott Mission (886 m). Each one's latest inspection result is shown on this page; DineSafe does not record cuisine or opening hours.

How many thefts are reported at Belfield & Iron?

Toronto Police place 17 thefts from vehicles and no bicycle thefts at this intersection in 2016–2025. Police offset every reported occurrence to the nearest intersection before publishing it, so the count covers the streets, driveways and parking around this corner rather than the corner itself. Break-ins, robberies and other offences are published by neighbourhood only — see the West Humber-Clairville page.

What neighbourhood is Belfield & Iron in?

Belfield & Iron is in West Humber-Clairville (City of Toronto neighbourhood 001). It is in Ward 1, Etobicoke North, represented by Councillor Vincent Crisanti.

Sources

Every figure on this page comes from one of these datasets — how they are joined