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High Park-Swansea.

Population 22,665. 2021 Census, 25% sample data. Rates for every year use this fixed denominator. One of 158 Toronto neighbourhoods. About the rates →

ASSAULT · 2025
107incidents
vs. 2024▲ 7.0%
vs. 10-yr avg▲ 25.9%
vs. Toronto (rate)▼ 33%
§ 01 · Trend · High Park-Swansea

Assault count, by reported year

The solid line shows High Park-Swansea. Switch to rates to add the dashed Toronto-wide baseline on a comparable per-capita scale.

Primary

Assault · High Park-Swansea

counts · 2016 – 2025 · 10 reported years
0316293124'16'17'18'19'20'21'22'23'24'252020 · pandemic
● High Park-SwanseaCity overlay hidden in counts mode (different scale; switch to rate to compare).
View chart data

Full years only; incomplete YTD totals are excluded. Not available means a value is missing, not zero.

High Park-Swansea assault yearly trend · incident counts · 2016–2025
YearHigh Park-Swansea
201677
201780
201867
201986
202071
202178
202285
202399
2024100
2025107

Categories in scope · small multiples

Selected window · 2016 – 2025
Assault
107
'16▲ 39%'25
Auto Theft
22
'16▲ 69%'25
Break and Enter
58
'16▲ 81%'25
Robbery
11
'16▼ 15%'25
Theft Over $5,000
6
'16▲ +2small base'25
View chart data

Full years only; incomplete YTD totals are excluded. Not available means a value is missing, not zero.

High Park-Swansea category trends · incident counts · 2016–2025
YearAssaultAuto TheftBreak and EnterRobberyTheft Over $5,000
2016771332134
2017801540199
2018671845123
20198622541513
202071414998
202178252884
2022856450105
2023995051810
202410029511214
20251072258116
§ 02 · Seasonality · Month × Year

When in the year do reports cluster?

Each cell is one calendar month from High Park-Swansea. Shading is by monthly count. Compare months within the same category to inspect seasonal patterns.

§ 03 · Context · Where it sits in Toronto

How High Park-Swansea compares with nearby neighbourhoods

High Park-Swansea on the city map, then a table of nearby neighbourhoods showing 2025 assault count.

Selected
High Park-Swansea
N° 87 · POP 22,665
Map: 2021 Census neighbourhood boundaries · locally hosted Toronto basemap · single-hue ramp keyed to the active category
NeighbourhoodN°PopulationAssault count2025 count'16 → '2510-year trace
Toronto · city-wide—3,271,83023,20223,202▲ 34%
High Park-Swansea ◀8722,665107107▲ 39%
South Parkdale8520,495282282▲ 36%
High Park North8821,855164164▲ 66%
Humber Bay Shores16122,605114114▲ 52%
Junction Area9014,010137137▲ 36%
Roncesvalles8614,610140140▲ 9%
Runnymede-Bloor West Village8910,1205656▲ 60%
Stonegate-Queensway1625,650134134▲ 79%
Weston-Pelham Park9110,6807171▼ 12%
§ 04 · Chronological feed · 1,906 incidents

Recorded incidents in High Park-Swansea

Absolute dates only: no addresses, no coordinates, no relative dates. Source: Toronto Police Service Community Safety Indicators, deduped at neighbourhood resolution.

Filter feed
DATECATEGORYOFFENCEPREMISES
2026-06-30
Break and Enter
B&E
APARTMENT
2026-06-28
Assault
Assault
APARTMENT
2026-06-24
Assault
Assault
OUTSIDE
2026-06-21
Assault
Assault
APARTMENT
2026-06-20
Break and Enter
B&E
OTHER
2026-06-20
Assault
Assault
OUTSIDE
2026-06-18
Assault
Assault Bodily Harm
HOUSE
2026-06-17
Assault
Assault
APARTMENT
2026-06-15
Break and Enter
B&E
OTHER
2026-06-14
Auto Theft
Theft Of Motor Vehicle
OUTSIDE
2026-06-11
Assault
Assault
OUTSIDE
2026-06-01
Break and Enter
B&E W'Intent
HOUSE
2026-05-29
Assault
Assault
APARTMENT
2026-05-27
Auto Theft
Theft Of Motor Vehicle
OUTSIDE
SHOWING 1–14 OF 1,906LOADING…
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Per-incident lat/lng exists in the source but is flagged as approximate. The dashboard therefore works at neighbourhood resolution only. No addresses are surfaced.

Data summary for High Park-Swansea

High Park-Swansea: rate per 10,000 residents by category, 2016–2025. A dash means unavailable.
YearAssaultAuto TheftBreak and EnterRobberyTheft Over $5,000
201634.05.714.15.71.8
201735.36.617.68.44.0
201829.67.919.95.31.3
201937.99.723.86.65.7
202031.318.121.64.03.5
202134.411.012.33.51.8
202237.528.222.14.42.2
202343.722.122.53.54.4
202444.112.822.55.36.2
202547.29.725.64.82.6