Ward Profiles

One table, all 25 wards, built strictly from cited public datasets — no estimates, no interpolation, and no ward gets a number it doesn’t actually have on record.

Looking for the 2026 race itself? See the election math for each ward — the 2022 baseline margin and the 2026 filed-candidate list, one card per ward.

Real status: v2, live. Below is the same citywide summary table as before, plus a real next layer: 25 individual ward pages, one per council ward — each with its own 2022 result, 2026 registrant list, and census summary. Two pieces are still honestly incomplete on every ward page: local facilities (library branches, community/rec centres, parks) and most of the 12 civic-issue categories — see “What we don’t have yet,” below, for exactly what and why.

What this page is, right now

This page carries two layers now. The first is the original honest v1: a single summary table covering all 25 wards, drawn from the City of Toronto’s own Ward Profiles dataset — a citywide picture broken out by ward. The second, added 2026-08-06, is 25 individual ward pages — one per council ward, each carrying a one-minute summary, the 2022 election result, who’s registered to run in 2026, and the same census figures as the table below. Of the three joins that fuller version needed (candidate lists to wards, facility locations to ward boundaries, individual research claims to specific wards), the candidate-list join was already built and released before this page was updated, and is what makes the per-ward pages possible. The other two remain honestly incomplete — see “What we don’t have yet,” below, for exactly what and why, and each ward’s own page says so on its face rather than padding the gap.

Sources

Both datasets are published as open data by the City of Toronto. Full file-level provenance (fetch dates, checksums) is on record in this project’s research files and available on request via the corrections channel below.

The 25 wards, in numbers

All figures as of the 2021 Census (income figures: 2020 reference year); land area as of December 2023. Every column here is a real reported value — no ward row has an estimated or interpolated figure.

WardNameArea (km²)Population Median ageUnemploymentMedian household
income (2020)
Avg. monthly
shelter, renters
Avg. monthly
shelter, owners
Renters spending
30%+ on shelter
Owners spending
30%+ on shelter
Low-income
prevalence (LIM-AT)
1Etobicoke North48.4115,1203816.5%$81,000$1,328$1,66434.2%23.5%12.9%
2Etobicoke Centre37.3117,20045.212.8%$100,000$1,574$1,93039.2%18.8%7.9%
3Etobicoke-Lakeshore40.0139,92040.811.8%$90,000$1,592$2,10840.9%24.7%11%
4Parkdale-High Park15.3104,7154012.9%$85,000$1,492$2,28039.7%20.3%12%
5York South-Weston25.0115,67540.416.4%$72,000$1,196$1,66034.8%22.3%14.7%
6York Centre35.4107,35541.614.1%$82,000$1,448$1,91836.1%25.3%11.5%
7Humber River-Black Creek30.7111,20037.617.8%$73,000$1,261$1,62233.2%24%15.1%
8Eglinton-Lawrence22.7114,82041.212.2%$97,000$1,588$2,41838%20.3%10.1%
9Davenport12.1104,73038.413.1%$85,000$1,552$1,91041.3%21.6%10.8%
10Spadina-Fort York12.8135,40032.89.8%$89,000$1,988$2,29043.7%35.2%14.1%
11University-Rosedale13.6102,38536.812.8%$84,000$1,976$2,59248.8%29.8%15.3%
12Toronto-St. Paul’s13.1114,09539.610.9%$86,000$1,768$2,49244.6%24.8%12.5%
13Toronto Centre5.9116,93034.815.1%$65,000$1,520$2,17243.1%35.1%22.2%
14Toronto-Danforth20.8104,55540.812.5%$93,000$1,424$2,13837.8%18.2%11.5%
15Don Valley West30.3101,02541.212.1%$102,000$1,716$2,96840.9%21.8%12.6%
16Don Valley East23.094,33541.215.1%$78,500$1,492$1,84639.1%26.1%14.4%
17Don Valley North24.4112,59040.414.4%$84,000$1,754$1,90443.6%31.4%14.4%
18Willowdale19.8117,13039.212.7%$81,000$1,880$2,20249.3%37.6%17.8%
19Beaches-East York16.8108,50041.213.4%$89,000$1,370$2,16838.6%18.3%11.9%
20Scarborough Southwest28.1110,09540.816.4%$79,000$1,196$1,87232.3%22.7%13.9%
21Scarborough Centre28.2111,5604015.7%$78,000$1,338$1,66835.8%26%13.3%
22Scarborough-Agincourt21.4103,69045.216.4%$77,000$1,358$1,64036%32%14.7%
23Scarborough North30.494,02542.817%$87,000$1,408$1,63633.3%28.8%11.8%
24Scarborough-Guildwood26.1102,75538.416.3%$78,000$1,197$1,77631.6%25.4%14.7%
25Scarborough-Rouge Park54.1101,4854215%$105,000$1,362$1,80232.7%20.7%7.8%
City of Toronto (all 25 wards)2,761,28539.613.9%$84,000$1,562$2,03840%25.6%13.2%

“Renters/owners spending 30%+ on shelter” is Statistics Canada’s standard shelter-cost-burden threshold, applied to tenant and owner households separately. “Low-income prevalence (LIM-AT)” is the share of the population below Statistics Canada’s Low-Income Measure, after tax. City of Toronto totals are the citywide figures as published in the same dataset, not a sum of the ward rows.

What we don’t have yet

Named plainly, because the gap is honest and expected at this stage, not a defect:

What this page grows into

25 individual ward pages now exist — each carrying a one-minute plain-language summary, the 2022 election result for that ward, who’s registered to run there in 2026, the same census figures as the table above, and, only where a real ward-specific receipt exists, how that ward connects to this project’s broader civic-issue research. Still to come: the libraries, community centres, and parks physically in each ward, once the facility-to-ward geospatial join is built, and more of the 12 civic-issue categories as this project’s research names more wards by name. Nothing on that list gets built by guessing — each piece waits for its underlying data to actually be joined to ward boundaries, and every ward page names its own gaps rather than padding them.

See something wrong, or have a better source for any figure above? Tell us — corrections & improvements.