People's experiences of Toronto can vary dramatically from one neighbourhood to the
next. Areas separated by just a few subway stops can differ sharply in income, life expectancy, access to transit and services,
and housing – where rents can vary by over $1000 per month. Other posts in this occasional
series, Place and Politics in Toronto,
show that some parts of Toronto vote consistently, turn out in large numbers, and
display a clear political orientation; elsewhere, voting is more divided or turnout
is lower.
Those differences matter beyond who wins elections. Neighbourhoods with similar
numbers of eligible voters can contribute very different numbers of votes, while
governments make decisions about the transit people rely on, the homes they can
afford, the services available nearby, and how public money is spent.
Using voting and turnout patterns from Toronto's three most recent elections (2023
mayoral by-election, 2025 provincial election, and 2025 federal election), we used a
clustering algorithm to identify five broad political geographies – five different
Torontos that participate and vote in distinct ways. We then used census data to
describe the kinds of places those clusters represent; it does not determine which
cluster a neighbourhood belongs to.
Five Torontos
Census tracts clustered by voting in the 2023 mayoral and 2025 provincial and federal elections
The five clusters run broadly from Toronto's most consistently progressive
neighbourhoods toward its more conservative ones, but they are not simply five stops
along a left-right line. Voter turnout matters separately from partisan preference,
and similar voting patterns sometimes appear in neighbourhoods with very different
histories, housing, and demographics. What emerges is not a map of five kinds of
voters, but five recurring combinations of politics and place.
Progressive Core
109 of 585 census tracts, 17.5% of population (2021 Census)
Progressive CoreCity of Toronto average
0%25%50%75%100%
Chow (2023 mayoral)
37%53%
2023 mayoral turnout (citizens 18+)
39%45%
Ontario NDP (2025 provincial)
23%51%
Ontario PC (2025 provincial)
34%16%
NDP (2025 federal)
6%15%
Rooted in the twin hearts of Toronto's West End and East End, this is the city's
clearest concentration of progressive voting. These neighbourhoods have given the
NDP much higher shares than Toronto overall, even in historically difficult
elections for the party, while giving considerably less support to Conservatives
across levels of government. Olivia Chow – a former city councillor and NDP MP –
also performed particularly strongly here in the non-partisan 2023 mayoral
by-election. Voter turnout is above the city average across all three elections.
This is Toronto's densest cluster, with the highest renter share, the lowest
reliance on cars for commuting, and relatively high university attainment. Much of
it is made up of older, established central-city neighbourhoods. It has fewer
newer high-rise districts that appear more prominently in the Soft-Left Belt
cluster. This combination of educated, renter-heavy urban neighbourhoods and
progressive voting is consistent with a broader shift documented across many Western democracies,
including in researchon Canada,
in which the electoral base of the left has increasingly moved toward highly
educated and economically downward urban voters.
But this is not simply a recent realignment. Many of these same areas were
centres of immigrant labour organization,
left-wing politics, and later neighbourhood-based urban reform, including the fight against the Spadina Expressway.
Toronto's reform movement was politically heterogeneous, but many of its fights
over expressways, redevelopment, neighbourhood preservation, and local planning
took place in and around the old urban core. Research on Toronto's political
geography finds that neighbourhood-level patterns can persist across elections,
even as the people living within them change. The electorate has shifted, but as
a previous post in this series shows, the geography of progressive voting has proved remarkably durable.
Soft-Left Belt
85 of 585 census tracts, 14.9% of population (2021 Census)
Soft-Left BeltCity of Toronto average
0%25%50%75%100%
Chow (2023 mayoral)
37%40%
Matlow (2023 mayoral)
5%8%
2023 mayoral turnout (citizens 18+)
39%44%
Ontario NDP (2025 provincial)
23%37%
Conservative (2025 federal)
34%28%
If the Progressive Core is Toronto's most concentrated geography of progressive
voting, the Soft-Left Belt is what that politics looks like once it spreads into
a more varied urban landscape. It stretches through newer condo districts and
rental-heavy parts of the central city, established neighbourhoods farther west
and east, and pockets of southwest Scarborough. These places do not share one
built form or one history. What they share is electoral: higher voter turnout,
broadly progressive voting, and a greater willingness to support Liberal or
moderate alternatives than in the Progressive Core.
That difference is visible across elections. Chow and the provincial NDP both
outperform their Toronto-wide results here, but by much smaller margins than in
the Progressive Core. Josh Matlow also performs best in this cluster. At the same
time, the Soft-Left Belt has the highest university attainment and income of the
five clusters, while also having the highest prevalence of households spending 30%
more on housing costs and the largest recent-migrant share. That combination fits
parts of Toronto's changing central-city geography, where growth has increasingly
taken the form of mid- and high-rise apartments and a large rented-condominium market; in 2021, more than half of downtown condominiums were rented.
The result is a political belt rather than a single neighbourhood type. They
converge because they have similar political characteristics: above average voter
turnout, left of Toronto overall, but less consistently aligned with the
progressive left than central neighbourhoods.
Civic Liberals
77 of 585 census tracts, 13.8% of population (2021 Census)
Civic LiberalsCity of Toronto average
0%25%50%75%100%
Bailão (2023 mayoral)
33%37%
Ontario Liberal (2025 provincial)
38%51%
Ontario NDP (2025 provincial)
23%8%
Conservative (2025 federal)
34%37%
2025 federal turnout (citizens 18+)
71%79%
Civic Liberal neighbourhoods are even harder to pin to one part of Toronto. They
appear in parts of Midtown and Leaside, stretches of the Yonge corridor through
Willowdale, pieces of The Beaches, Etobicoke-Lakeshore, and Scarborough along the
lake.
This cluster has the highest turnout in the provincial and federal elections, and
among the highest in the mayoral by-election. Liberal support is strong, and there
is much less warmth toward the NDP and progressive mayoral candidates. This
pattern is clearest provincially, where the Liberals receive just over half the
vote and the NDP falls to only 8 per cent. Ana Bailão also leads Olivia Chow in
the mayoral race, while federally the Liberals remain ahead but Conservatives
perform considerably better than in either of the first two more progressive
clusters.
There is some historical precedent for that kind of Toronto politics. The city's changing geography of wealth runs through parts of this cluster, especially along the Yonge corridor, where
incomes have risen sharply over time.
Toronto has long contained prosperous, high voter turnout districts that sit
outside both the city's strongest progressive neighbourhoods and its most
conservative suburbs. The Civic Liberals are a modern version of that middle
ground: scattered across the map, but tied together by a politics that is engaged,
higher income and higher education, Liberal-leaning, and notably less progressive
than the clusters to their left.
Suburban Conservatives
129 of 585 census tracts, 22.0% of population (2021 Census)
Suburban ConservativesCity of Toronto average
0%25%50%75%100%
Bailão (2023 mayoral)
33%43%
Ontario PC (2025 provincial)
34%48%
Ontario NDP (2025 provincial)
23%7%
Conservative (2025 federal)
34%45%
Liberal (2025 federal)
58%51%
Spanning much of Toronto's inner suburbs, the Suburban Conservatives overlap
strongly with neighbourhoods built during the region's postwar suburban expansion:
lower-density housing, high rates of homeownership, and greater automobile use.
Today, they are the oldest of the five clusters as well. Their electoral pattern
is just as clear: these neighbourhoods give the highest shares to the Ontario PCs
and federal Conservatives, the lowest or near-lowest shares to the NDP, and
favoured Ana Bailão over Olivia Chow in 2023. The federal Liberals narrowly led
the Conservatives here in 2025, but this is where conservative parties and
candidates perform most strongly overall.
That pattern echoes a much older divide between Toronto's core and its postwar
suburbs. Etobicoke, North York,
and Scarborough all grew rapidly through the postwar period before amalgamation in 1998, much of
it around private homes and automobile travel. Zack Taylor has documented an
enduring city-suburb divide in Toronto voting that predates Rob Ford's conservatism;
in 2010, for example, the former Metropolitan Toronto suburbs voted heavily for
Ford while the old City of Toronto went strongly for George Smitherman, as we
described in a previous entry in this series.
But today's suburban politics no longer follow that older divide neatly. Much of
Scarborough, despite sharing the same postwar and car-oriented built form, falls
instead into the Low-turnout Suburbanites.
Low-turnout Suburbanites
185 of 585 census tracts, 31.9% of population (2021 Census)
Low-turnout SuburbanitesCity of Toronto average
0%25%50%75%100%
Chow (2023 mayoral)
37%37%
2023 mayoral turnout (citizens 18+)
39%30%
Other mayoral candidates
12%17%
Ontario PC (2025 provincial)
34%42%
Liberal (2025 federal)
58%59%
It is easy to look at Toronto's electoral maps and treat much of the inner
suburbs as one conservative bloc, but this cluster complicates that picture. More
than anything else, what distinguishes these neighbourhoods is low voter turnout.
Turnout is lower than in every other cluster across the municipal, provincial, and
federal elections, even though Low-turnout Suburbanites are Toronto's largest
group, containing almost one-third of the city's population. These neighbourhoods
also have the lowest income and university attainment, the highest racialized
share, some of the largest households, most people with commutes over an hour.
Their voting is less ideologically fixed than that of the Suburban Conservatives
beside them. Ontario PC support is relatively high, but Chow led the mayoral vote
and the federal Liberals received a clear majority. Previous School of Cities work
has documented a longer-term rise in Conservative support in immigrant- and minority-heavy GTA ridings,
particularly at the provincial level, pointing toward disillusionment with an incomplete multiculturalism.
This political complexity sits on top of a broader geography of inequality.
Research on Toronto's inner suburbs has documented lower incomes, weaker access to mass transit and city services, and longstanding
underinvestment compared with more affluent parts of the city. Other reporting has traced how rising housing costs and gentrification have pushed lower-income
and immigrant households outward from parts of the core, while surveys through the Community Voices project found that residents placed particular importance on reliable transportation,
neighbourhood services, affordable housing, and safety.
Comparing the five clusters
Election results used to define the clusters
Scroll to see all clusters →
Election results by cluster, compared to the City of Toronto
Variable
Progressive Core
Soft-Left Belt
Civic Liberals
Suburban Conservatives
Low-turnout Suburbanites
City of Toronto
2023 mayoral by-election
Olivia Chow
53%
40%
31%
25%
37%
37%
Ana Bailão
23%
32%
37%
43%
28%
33%
Mark Saunders
5%
6%
9%
12%
11%
9%
Anthony Furey
3%
5%
6%
7%
5%
5%
Josh Matlow
6%
8%
6%
4%
2%
5%
Other candidates
11%
10%
11%
11%
17%
12%
2025 provincial election
PC
16%
24%
37%
48%
42%
34%
NDP
51%
37%
8%
7%
15%
23%
Liberal
29%
36%
51%
41%
39%
38%
Green
3%
3%
3%
2%
2%
3%
Other parties
1%
1%
2%
3%
2%
2%
2025 federal election
Liberal
62%
62%
59%
51%
59%
58%
Conservative
21%
28%
37%
45%
36%
34%
NDP
15%
9%
3%
3%
4%
6%
Green
1%
1%
1%
0%
1%
1%
Other parties
1%
1%
1%
1%
1%
1%
Turnout (% of citizens 18+)
2023 mayoral by-election
45%
44%
45%
38%
30%
39%
2025 provincial election
54%
51%
54%
46%
40%
48%
2025 federal election
73%
76%
79%
69%
63%
71%
Census characteristics, used only to describe the clusters
Scroll to see all clusters →
Census characteristics by cluster, compared to the City of Toronto
Variable
Progressive Core
Soft-Left Belt
Civic Liberals
Suburban Conservatives
Low-turnout Suburbanites
City of Toronto
Census characteristics (2021)
Population density (per km²)
9,023
6,133
4,024
3,025
3,630
4,196
Age 65+
14%
16%
19%
20%
16%
17%
Average age
40
41
43
43
41
41
Average household size
2.0
2.0
2.2
2.7
2.8
2.4
Median pre-tax individual income
$44k
$53k
$47k
$42k
$33k
$42k
Renter households
59%
53%
44%
37%
47%
48%
Spending 30%+ on shelter
34%
36%
33%
28%
31%
32%
Canadian citizens
86%
83%
83%
85%
79%
83%
Visible minority
42%
39%
50%
48%
79%
56%
Migrants in the last 5 years
18%
23%
18%
13%
16%
17%
Bachelor's degree or higher
48%
55%
48%
39%
29%
41%
Commute by car/truck/van
42%
48%
64%
71%
67%
61%
Commute by public transit
31%
27%
26%
21%
27%
26%
Commute 60+ minutes
10%
9%
11%
12%
16%
12%
Data and methods
This project was originally inspired in part by the San Francisco Chronicle'sCalifornia political groups project,
which used clustering to identify recurring political geographies rather than
beginning from conventional partisan or demographic categories.
We analyzed all 585 Toronto census tracts using results from three recent elections:
the 2023 mayoral by-election, the 2025 Ontario election, and the 2025 federal election.
Because voting polls and census tracts do not share the same boundaries, poll-level
votes were first interpolated to census tracts using the distribution of Canadian
citizens aged 18 and over. Turnout is measured as votes cast relative to that
adult-citizen population (Canadian citizens aged 18+), not registered electors, while
party and candidate support is calculated from valid votes cast.
We grouped neighbourhoods using their voting and turnout alone – not their
demographics. For each election, we considered both how a tract differed from
Toronto overall and how it differed from its own ward or riding, giving those
citywide and local perspectives equal weight. We also balanced the three elections so
that no single electoral contest dominated. We then used
principal component analysis (PCA) to condense overlapping electoral
measures and k-means clustering to group tracts with similar political
profiles.
We tested several alternative approaches and solutions ranging from three to seven
clusters. Under the final model, five groups produced the strongest silhouette score,
although the difference between three, four, and five was small. Looking at the actual
memberships helped distinguish the alternatives. At four clusters, the Progressive Core
and Soft-Left Belt remain largely intact, while Civic Liberals largely lose their
standalone cluster and are distributed among neighbouring groups. At six and seven,
the existing political geographies begin to fragment while statistical separation
becomes clearly weaker. Five therefore provides a useful balance between retaining
substantively distinct electoral patterns and avoiding unnecessary subdivision. It
should still be understood as one useful simplification of Toronto's continuous
political geography, rather than evidence that exactly five natural political types
exist.
After creating the clusters, we joined the 2021 Census data on age, income, housing,
migration, racialization, education, commuting, and other characteristics to understand
the places within them. These demographics describe places and should not be read as
explaining how any individual voted. The names – Progressive Core, Soft-Left Belt,
Civic Liberals, Suburban Conservatives, and Low-turnout Suburbanites – are descriptive
shorthand applied after the analysis.