A Housing Needs Assessment (HNA) is a report informed by data and research that describes the current and future housing needs of a municipality or community.

HNAs provide data to support evidence-based decision making at the local and community level. Having this data helps all orders of government make informed decisions about their infrastructure and housing investments to help determine where and what kind of housing needs to be provided for and built.

This HNA was prepared in summer 2025 as a requirement of the Canada Community-Building Fund (CCBF)

In this section, applicants should outline the research methodology used to inform the completion of the assessment, where the methodology is derived from, any assumptions used, and any necessary justification. While different assessments may incorporate unique methodological elements or considerations depending on context, the following methods should generally be outlined:

  • Quantitative research such as economic data, population and household forecasts; and,
  • Qualitative research such as interviews, policy analysis and stakeholder engagement.

Both qualitative and quantitative aspects of this guidance document are equally important.

Communities will be required to engage with key stakeholders in the housing sector, including non-profit housing providers, developers, and public entities, as well as those with specific lived experiences, to develop a comprehensive Housing Needs Assessment (HNA). This section should include what forms of engagement were conducted, with whom, how learnings were incorporated into or informed the HNA’s findings, and what engagement opportunities may exist to share findings with the community.

To the extent possible, publicly available data from the following sources will be prepopulated to facilitate automated completion of the quantitative components of the assessments:

In addition to this data, communities are required to incorporate internal and non-public facing, non-confidential data, into their HNAs in order to more fully capture local contexts and realities as needed.

If this data is unavailable at the time of completion of the first HNA, communities are expected to collect these data points for future iterations.

1.1 Please provide an overview of the methodology and assumptions used to develop this Housing Needs Assessment, using the guidelines above. This should include both quantitative and qualitative methods. Please also identify the publicly available data sources used to complete this assessment beyond the sources listed above, if applicable.

Toronto’s Housing Needs Assessment (HNA) included qualitative and quantitative analysis of housing need, demand, and supply at both the city level at sub-geographies throughout the city which go far beyond the HNA requirements. This allowed for an in-depth analysis of housing need, demand, and supply in the city, and throughout its diverse neighbourhoods and provided a solid evidence base to set meaningful housing targets.

The HNA included analysis of city-wide and geography-specific data from Statistics Canada’s 2006, 2016 and 2021 Censuses, including custom data on various indicators such as household incomes for renters and owners in the City of Toronto; Canada Mortgage and Housing Corporation (CMHC), including custom data on the housing market; Toronto Real Estate Board; Altus market housing prices, including custom data on average home prices by bedroom type; Urbanation; and City data related to proposed developments and other key indicators. The following indicators were analyzed to identify the housing supply, need and demand across the city and in selected sub-geographies.

  1. Population by age cohort
  2. Households by household size
  3. Median and average income
  4. Shelter-to-income-ratio / shelter cost burden (households spending more than 30 per cent and more than 50 per cent of income on housing)
  5. Overcrowding (Census definition of occupancy standards)
  6. Migration patterns (intra-provincial, inter-provincial, and international)
  7. Commuting patterns
  8. Housing development pipeline by form and tenure (under review, approved, and under construction)
  9. Existing housing stock by built form
  10. Housing market conditions:
    1. Rents by unit type and built form
    2. Vacancy rates by form and unit type
    3. Sale price by unit type and built form (new and resale housing)
    4. Listings (availability) trends by unit type and built form

View the previous Housing Needs Analysis.

1.2 Please provide an overview of the methodology and assumptions used to engage with stakeholder groups, e.g. non-profit housing organizations, in the development of this Housing Needs Assessment. This should include qualitative and quantitative methods. Please provide a description of who was engaged, the type of engagement that took place, and the nature of the engagement (e.g. interviews, consultations)

Extensive engagement activities were undertaken as part of the work on the HNA. The objective of these engagements was to identify housing need and priorities in Toronto from a range of perspectives. Pre-engagement interviews were held with key stakeholders to help develop the approach to community consultation. The result of this was the identification of a variety of techniques that would help reach a diverse range of Toronto residents. The engagement activities included over 40 key stakeholder meetings, seven public meetings attended by approximately 450 attendees, and an online survey with over 475 respondents. Other engagement opportunities included 12 do-it-yourself workshops with over 130 participants, written submissions, and social media.

Read additional information on the approach and outcome from these activities.

1.3 Please provide an overview of the methodology and assumptions used to conduct engagement with the priority groups (identified in Section 4) in the development of this Housing Needs Assessment. This should include qualitative and quantitative methods. Please provide a description of who was engaged, the type of engagement that took place, and the nature of the engagement (e.g. interviews, consultations). If a private individual has been engaged, please anonymize and remove any identifying features from the narrative.

The development of the HNA included engaging with a wide range of stakeholders, including housing advocates and representatives of the for-profit and not-for-profit development sectors. Pre-engagement interviews with key stakeholders were undertaken to identify the most appropriate approach to engaging with different stakeholder groups and which groups to engage with. The approach to these engagements is outlined in the response to the previous question.
Stakeholders who were engaged include representatives of the following priority groups:

  • Indigenous peoples
  • Women-led households
  • Victims of violence
  • Youth
  • Recent immigrants
  • People experiencing or at risk of homelessness
  • Persons with disabilities and mental health and addictions issues
  • People with low incomes

In addition, the Housing Needs Assessment was informed by consultations held by the City in 2019 to inform the develop of the City’s HousingTO 2020-2030 Action Plan, which is the City’s current ten-year housing plan. Almost 6,000 members of the public and stakeholders from across Toronto’s housing spectrum, with over 1,000 hours of time logged between in-person and online consultation activities. Read more about the consultations.

This section should provide a general overview of income, housing and economic characteristics of the community being studied. Understanding this data will make it easier to observe the incidence of housing need among different socio-economic groups within the community. Income categories could be used for this analysis and can be completed in accordance with the HART methodology and CMHC data.

Area Median Household Income (AMHI) can be used as the primary basis for determining income brackets (as a percentage of AMHI) and corresponding housing cost ceilings.

This section should also outline the percentage of households that currently fall into each of the income categories previously established. This will allow a better understanding of how municipalities compare to Canadian averages, and the proportion of households that fall into each household income category. This will also allow for a better understanding of drop-off levels between total households and the number of units required to meet anticipated need or demand in each category. Housing tenures allow for the comparison of renter and owner-occupied households experiences and is important for understanding a community’s housing context.

Using a stratified, income-based approach to assessing current housing needs can enable communities to target new housing development in a broader and more inclusive and equitable way, resulting in housing that can respond to specific households in core housing need. This is shown in the next section.

3.1 Household Profiles

*Total number of households included in the Income categories totals 1,151,790 while total households in 2021 totaled 1,160,892. This is due to a small number of households who are excluded from Statistics Canada reporting on household income as they did not report income for 2020.

**Indicates where municipalities will have to source the data.

3.1.1 Household Income and Profile
Characteristic Data Value
Total number of households 2016 1,112,929
2021 1,160,892
Household income (Canadian dollars per year), 2020 Average 121,200
Median 84,000
Tenant Household Income (Canadian dollars per year - Data for City of Toronto (C), Ontario, 2020 Average 79,500
Median 64,000
Owner household income (Canadian dollars per year. Data for the City of Toronto (C), Ontario, 2020 Average 161,600
Median 111,000
Average household size (Number of members) Total 2.4
Breakdown of household by size (Number of households) Total 1,160,895
1 person 385,765
2 persons 353,415
3 persons 178,225
4 persons 147,360
5 or more persons 96,120
Tenant households (Number of households), 2021 Total 602,925
Percentage 48.1%
Owner households (Number of households), 2021 Total 602,925
Percentage 51.9%
Percentage of tenant households in subsidized housing, 2021 Percentage 14.2%
Households within 800m of a higher-order/high frequency transit stop or station (#)* Total 463,014
Number of one-parent families, 2021 Total 152,635
Percentage 20.8% (as a percentage of total number of Census families in private households)
Number of one-parent families in which the parent is a woman+ Total 127,560
Number of one-parent families in which the parent is a man+ Total 250,075
Number of households by all Income Category** Very Low (up to 20% below Area Median Household Income (AMHI)) 55,215
Low (21% - 50% AMHI) 206,085
Moderate (51-80% AMHI) 200,735
Median (81% - 120% AMHI) 229,410
High (>120% AMHI) 460,345

3.2 Please provide context to the data above to situate it within your municipality. For example, is there a significant number of one-parent families? Are owner household incomes far surpassing tenant household incomes?

In 2021, the number of Toronto households stood at 1,160,890, growing 4.3 per cent since 2016. Toronto households consist of 60.3 per cent family households and 39.7 per cent non-family households. Approximately one in five family households are lone-parent households. Almost half of Toronto households rented their homes in 2021. Many renters in the city include newcomers, people belonging to racialized groups, and households with very low to moderate incomes that cannot afford to a buy a home in Toronto’s housing market. Approximately half of renter households are comprised of individuals living alone (41 per cent) or roommate households (10 per cent). One in seven renter households live in subsidized housing.

In 2021, the median total household income in Toronto was $84,000, an increase of about $18,000 since 2016. More than one in five households have low or very low household incomes. Renter households had a median household income in 2020 that was 42 per cent, or $47,000, lower than households who own their homes.

3.3 Suppression of household formation (e.g., younger people living with their parents due to affordability pressures) and housing demand (e.g., “driving until you qualify”) can both indicate strained local housing market conditions. Please provide any data or information that speaks to how suppression of the formation of new households and suppression of housing demand has impacted your community since 2016, and how projected formation patterns are expected to be impacted over the next five to 10 years. Please indicate methods used to determine expected household formation, such as calculating headship rates broken down by specific age estimate impacts.*

*We recognize that some municipalities may not have this data available at the time of completion, but encourage them to do their best in addressing this question. Municipalities will be expected to build this expertise in subsequent iterations of their Housing Needs Assessments.

Between 2016 and 2021, the formation of households by younger persons (aged 20-34 years) declined slightly from 35.2 per cent to 34.8 per cent (based on headship rates). The 2021 Census year data is interpreted with caution as household arrangements were atypical during the peak of the COVID-19 pandemic. The 2021 rate of household formation is higher than it was in 2006 (33.2 per cent ). This would indicate that in the longer-term, household suppression by younger people has not worsened.

This finding is consistent with a complimentary indicator that demonstrates a declining rate of adult children living at home with parents (from 36.5 per cent in 2016 to 35.7 per cent in 2021).

As housing costs have increased significantly over the fifteen-year period from 2006 (108 per cent for ownership, 20 per cent for renters), this would outwardly suggest that higher housing costs have not deterred younger persons from forming households. However, to do so younger people are spending more of their income of housing costs (see Figure 67 in the Housing Occupancy Trends bulletin).

While there has been some outflow of younger people to other parts of the GTHA and Province, their numbers are six times smaller than the number of younger people who are moving to Toronto from other countries. New immigrants arriving to Toronto are also forming new households, spending more on housing costs than the general population. (A greater share (40 per cent) of new arrivals (post 2016) spent more than 30 per cent of their income on housing costs compared to older arrivals at 26 per cent and the non-immigrant population at 23 per cent).

How projected formation patterns are expected to be impacted over the next five to 10 years?

The results of the 2026 Census will provide a better indication of long-term trends given that household composition in the 2021 Census may have been atypical due to the COVID-19 pandemic.

Since the 2021 Census, Toronto’s population has experienced exceptional population growth, fueled by high immigration inflows. The latest 2024 population estimates from Statistics Canada show that Toronto’s population increased by almost half a million people since 2015, and that 60 per cent of that growth took place in the last two years alone. Most of this growth is from immigration, with over 125,000 net non-permanent residents arriving each year in 2023 and 2024.

While the number of net non-permanent residents is expected to be smaller in the coming years (due to the federal government’s lowered immigration targets), the attractiveness of Toronto as an arrival point for new migrants (International and Canadian), for continued education and for job opportunities points to a continued demand for housing for younger people.

The City is closely monitoring these trends. For now, it appears that younger people continue to form households at the same rate they did in the past, taking on higher housing costs to do so.

Toronto City Council adopted the HousingTO 2020-2030 Action Plan in 2019, which provides a blueprint for action across the full housing spectrum, from homelessness to rental and ownership housing to long-term care for seniors. The City’s Housing Action Plan 2022-2026 (Housing Action Plan) is focused on removing regulatory barriers and enabling both market, non-market and mixed income housing production in order to achieve or exceed the provincial housing target of 285,000 new homes over the next 10 years.

Council has enabled the application of Inclusionary Zoning (i.e. requiring affordable units in certain development projects) through its adoption of over 100 Protected Major Transit Station Areas, which is pending approval by the Ontario Minister of Municipal Affairs and Housing.

The City’s range of policy and program initiatives is aiming to increase housing supply, housing choice and affordability for current and future residents. Improved affordability should help to sustain the current household formation rates by younger people. Cultural and demographic factors also influence these housing formation rates.

Please indicate methods used to determine expected household formation, such as calculating headship rates broken down by specific age estimate impacts.

In 2023, the City of Toronto undertook a Land Needs Assessment (“LNA”) as background to the Municipal Comprehensive Review of the Official Plan. The LNA determined the quantity of land required to accommodate forecasted population, household and employment.

This includes projections of population and households by type of dwellings, considering demographic factors, immigration and mobility rates and housing occupancy trends. A cohort-component model was constructed to project the population by single years of age and sex. The projected population was translated into projected household demand based on an analysis of household headship rates by age and the occupancy rates of different types of dwellings. This resulted in demand-driven projections of housing need.

The City of Toronto monitors housing occupancy trends at every Census release, using these trends to inform long-range forecasts, such as those recently undertaken for the forementioned LNA.
(Annual Demographic Estimates: Subprovincial Areas, July 1, 2024 Statistics Canada)

3.4 Economic Conditions

3.4.1 Economy and Labour Force
Characteristic Data Value
Number of Workers in the Labour Force Total 1,518,420
Number of Workers by Industry (Top 10 only) Professional, scientific and technical services 205,880
Health care and social assistance 163,465
Retail trade 141,575
Finance and insurance 123,495
Educational services 107,480
Manufacturing 97,580
Construction 83,035
Accommodation and food service 82,155
Administrative and support, waste management and remediation services 75,095
Transportation and warehousing 67,330
Unemployment rate and participation rate (Percent) Unemployment rate 13.9%
Participation rate 63.9%
All classes of workers (Number) Total 1,463,580
Employees (Number) Total 1,223,655
Permanent position (Number) Total 1,020,130
Temporary position (Number) Total 203,525
Fixed term (1 year or more, Number) Total 82,620
Casual, seasonal or short-term position (less than 1 year, Number) Total 120,905
Self-employed (Number) Total 239,925
Number of commuters by commuting destination Within census subdivision 514,695
To different census subdivision 0
To different census division 132,960
To another province/territory 1,530
Number of commuters by main mode of commuting for the employed labour force with a usual place of work or no fixed workplace address Car, truck or van 482,480
Public transit 207,680
Walked 60,615
Bicycle 15,750
Other method 24,945

3.5 How have labour conditions (e.g., prevalence of precarious employment, temporary or seasonal workforces, reliance on sectors such as natural resources, agriculture, tourism, etc.) in your community impacted housing supply and demand?

Results of the Toronto Employment Survey indicate that part-time workers may be more susceptible to fluctuations in the economy with larger job losses and slower recovery than more stable full-time jobs. (See the Toronto Employment Survey 2024, pp. 36-37) The increase in job precarity impacts housing affordability and thereby, housing demand. Precarious work is defined as employment that is characterized by instability, lack of protection, and socioeconomic vulnerability. Those most disproportionately represented in precarious employment include women, racialized persons, immigrants, Indigenous persons, persons with disabilities, older adults, and youth.

The proportion of part-time work has steadily increased throughout the 42 years of the Toronto Employment Survey program, peaking in 2019 with 24.9 per cent of employment categorized as part-time. The COVID-19 pandemic caused a large drop in the proportion of part-time workers, bringing it to a number not seen since 2014 at 23.2 per cent . Part-time workers lost employment at a greater rate than those with full-time employment. Despite these job losses during the pandemic years, part-time employment is still up 18.9 per cent over the past ten years, outpacing the growth in full-time work.

From 2021 to 2023, the number of part-time workers has steadily increased with an average increase of around 12,000 new part-time workers per year. However, the jump of part-time employment from 2023-2024 was more substantial as part-time workers increased by 25,710 in one year, or about a 7.2 per cent increase from 2023. However, the 2024 number of 381,620 part-time jobs is still below the peak in 2019 of 390,850 part-time jobs. Comparatively, full-time employment has exceeded 2019 numbers and only saw a modest increase in employment of 3.3 per cent from 2023.

Community and Entertainment jobs and Service jobs were most impacted by the COVID-19 pandemic, losing 35.8 per cent and 23.4 per cent of jobs respectively in 2020. Although both categories are recovering, neither have fully recovered to 2019 employment numbers. However, part-time employment in the two categories has risen at a faster rate than full-time employment, suggesting that the structure of employment within these categories may be changing (see the Table below). Community and Entertainment part-time employment increased by 23.8 per cent from 2023, and Service part-time employment increased by 7.1 per cent. Despite the increase in Community and Entertainment employment, the Community and Entertainment businesses have continued to decline in numbers. Since 2019, businesses in the Community and Entertainment sector have fallen by 14.3 per cent. Jobs in the two sectors mentioned are more likely to be impacted due to larger socioeconomic factors.

Toronto Employment Survey 2024: Part-Time Employment by Category, 2023 to 2024
Total Number of Part-time Employees 2023 to 2024
Employment Category 2023 2024 Net Change % Change
Numbers have been rounded to the nearest 10. Totals and sums may differ due to rounding.
Manufacturing & Warehousing 9,750 9,500 -250 -2.6%
Retail 68,620 68,980 360 0.5%
Service 65,030 69,660 4,630 7.1%
Office 90,810 95,110 4,300 4.7%
Institutional 96,460 107,110 10,650 11.0%
Community & Entertainment 25,240 31,250 6,010 23.8%
Total 355,910 381,620 25,710 7.2%

By NAICS sector, the greatest increases in part-time employment were seen in Management of Companies and Enterprises (64.3 per cent), Educational Services (24.8 per cent), and Arts Entertainment and Recreation (20.5 per cent). The greatest proportion of part time workers by sector were seen in Health Care and Social Assistance, Wholesale and Retail Trade, and Accommodation and Food Services.

The City is advancing work on an Inclusive Economic Development framework in partnership with key stakeholders. This work is focused on enhancing economic outcomes for Indigenous, Black, and equity-deserving communities across the City, ensuring their economic growth prospers equitably alongside the broader growth of Toronto and the regional economy.

Inclusive economic development is aligned with the principles outlined in the recently adopted Chapter One of Toronto’s Official Plan. The Official Plan is the roadmap for how Toronto will grow, and Chapter One emphasizes an inclusive planning approach that includes the principles of reconciliation, access, equity, and inclusion.

3.6 Households in Core Housing Need

A household is considered to be in core housing need if it meets two criteria:

  1. A household is below one or more of the national adequacy, suitability and affordability standards; and,
  2. The household would have to spend 30 per cent or more of its before-tax household income to access local housing that meets all three standards.

Housing is considered to be affordable when housing costs less than 30 per cent of before-tax household income. Housing is considered to be suitable when there are enough bedrooms for the size and make-up of the household. Housing is considered to be adequate when it is not in need of major repairs. Determining the percentage of core housing need would facilitate comparison with forecasts of population growth and household formation, in turn enabling more accurate projection of anticipated housing needs broken down by different factors such as income, household size and priority population, as explained below. It is important to note that official measures of those in core housing need exclude key groups, including those experiencing homelessness, students living independently of their guardians, people living in congregate housing, and migrant farm workers. This means that core housing need figures may underestimate overall housing need. Due to this, communities should also strive to include as much information as possible about these groups in the Priority Groups section below, in order to provide a comprehensive picture of who is affected by core housing need.

Housing Needs Assessment Tool | Housing Assessment Resource Project

Income Categories and Affordable Shelter Costs
Income Category % of Total HHs Annual HH Income Affordable Shelter Cost (2020 CAD$)
Area Median Household Income (AMHI) - $85,000 $2,125
Very Low Income (up to 20% of AMHI) 2.04% <= $17,000 <= $425
Low Income (21%-50% AMHI) 17.21% $17,001 – $42,500 $425 - $1,063
Moderate income (51% to 80% AMHI) 18.08% $42,501-$68,000$ $1,063$-1,700$
Median Income (81% to 120% of AMHI) 20.81% $68,001 - $102,000 $1,700 - $2,550$
High Income (121% and more of AMHI) 41.86% >=$102,001 >= $2,551

Note the HART tables indicate an area median household income of $85,000, however data reported by the City in Table 3.1.1 using 2021 Census data directly supplied by Statistics Canada indicates a median before-tax household income of $84,000.

Percentage of Households in Core Housing Need, by Income Category and Household Size
Income Category (Max. Affordable Shelter Costs) 1-Person HH 2-Persons HH 3-Persons HH 4-Persons HH 5+ Persons HH
Very Low Income (425$) 86.35% 10.66% 2.20% 0.49% 0.30%
Low Income (1062$) 65.73% 23.83% 6.74% 2.77% 0.93%
Moderate Income (1,700$) 13.97% 36.79% 23.68% 15.98% 9.57%
Median Income (2550$) 0% 0% 16.78% 34.94% 48.28%
High Income (>2550$) 0% 0% 0% 0% 0%

 

2021 Affordable Housing Deficit
Income Category (Max. Affordable Shelter Cost) 1-Person HH 2-Persons HH 3-Persons HH 4-Persons HH 5+ Persons HH Total
Very Low Income (425$) 11,385 1,405 290 65 40 13,185
Low Income (1062$) 83,755 30,365 8,590 3,525 1,190 127,425
Moderate Income (1,700$) 9,715 25,580 16,465 11,110 6,655 69,525
Median Income (2550$) 0 0 855 1,780 2,460 5,095
High Income (>2550$) 0 0 0 0 0 0
Total 104,855 57,350 26,200 16,480 10,345 215,230

 

3.6.1 Households in Core Housing Need – 2021 Census
Characteristic Data Value
Toronto (c):  Affordability – Owner and tenant households spending 30% or more on shelter costs (# and %) Total 373,965
Percentage 32.5
Toronto (c) Affordability – Owner and tenant households spending 30% or more on shelter costs and in core need (# and %) Total 187,020
Percentage 17
Toronto (c) Affordability – Tenant households spending 30% or more of income on shelter costs (# and %) Total 220,490
Percentage 40
Toronto (c) Affordability – Tenant households spending 30% or more of income on shelter costs and in core need (# and %) Total 129,005
Percentage 11.7
Toronto (c) Affordability – Owner households spending 30% or more of income on shelter costs (# and %) Total 153,475
Percentage 25.6
Toronto (c) Affordability – Owner households spending 30% or more of income on shelter costs and in core need (# and %) Total 58,010
Percentage 5.3
Toronto (c) Adequacy – Owner and tenant households in dwellings requiring major repair (# and %) Total 74,475
Percentage 6.4
Toronto (c) Adequacy – Owner and tenant households in dwellings requiring major repair and in core need (# and %) Total 26695
Percentage 2.4
Toronto (c) Adequacy – Tenant households in dwellings requiring major repairs (# and %) Total 43,465
Percentage 7.8
Toronto (c) Adequacy – Tenant households in dwellings requiring major repairs and in core need (# and %) Total 19,995
Percentage 1.8
Toronto (c) Adequacy – Owner households in dwellings requiring major repairs (# and %) Total 31,015
Percentage 5.1
Toronto (c) Adequacy – Owner households in dwellings requiring major repairs and in core need (# and %) Total 6700
Percentage 0.6
Toronto (c) Suitability – Owner and tenant households in unsuitable dwellings (# and %) Total 144,545
Percentage 12.5
Toronto (c) Suitability – Owner and tenant households in unsuitable dwellings and in core need (# and %) Total 41,205
Percentage 3.8
Toronto (c) Suitability – Tenant households in unsuitable dwellings (# and %) Total 105,590
Percentage 18.9
Toronto (c) Suitability – Tenant households in unsuitable dwellings and in core need (# and %) Total 35,635
Percentage 3.2
Toronto (c) Suitability – Owner households in unsuitable dwellings (# and %) Total 38,960
Percentage 6.5
Toronto (c) Suitability – Owner households in unsuitable dwellings and in core need (# and %) Total 5,575
Percentage 0.5
Toronto (c) Total households in core housing need Total 215,225
Toronto (c) Percentage of tenant households in core housing need Percentage 29.3
Toronto (c) Percentage of owner households in core housing need Percentage 10.8

3.7 Please provide any other available data or information that may further expand on, illustrate or contextualize the data provided above.

In Toronto, approximately one out of every five households (215,225 households) met the core housing need designation (19.6 per cent). The majority (71 per cent) of these households in core housing need are renters. 40 per cent of renter households spent over 30 per cent of their income on housing costs. In 2020, there were 160,150 households spending 50 per cent or more of their income on shelter costs. Renter households were also more likely to live in housing that was crowded or in need of major repairs. In 2020, almost a third of all households were living in unaffordable housing.

There are 12 groups that CMHC defines as priority populations for affordable homes: groups who face a proportionally far greater housing need than the general population. There is also a 13th group, women-led households and specifically single mothers, implied in the National Housing Strategy which targets 33 per cent (with a minimum of 25 per cent) of funding going to housing for women-led households. Priority population groups are:

  • Women and children fleeing domestic violence
  • Women-led households, especially single mothers
  • Seniors 65+
  • Young adults aged 18-29
  • Indigenous Peoples
  • Racialized people
  • Recent immigrants, especially refugees
  • LGBTQ2S+
  • People with physical health or mobility challenges
  • People with developmental disabilities
  • People dealing with mental health and addictions issues
  • Veterans
  • People experiencing homelessness

Census data does not disaggregate core housing need data by all priority populations, including veterans, individuals who identify as LGBTQ2S+, survivors of domestic violence, and individuals experiencing homelessness. Many households may have members in multiple priority categories which may also not be represented in the data. With these limitations in mind, information on housing need by priority population would be helpful for developing inclusive housing policies.

4.1 What information is available that reflects the housing need or challenges of priority populations in your community? If data is available, please report on the incidence of core housing need by CMHC priority population groups in your community. If no quantitative data is available, please use qualitative information to describe the need for these priority populations.

Data provided by HART indicates that households led by a member belonging to 10 of the 12 CMHC priority populations noted above have higher core housing need rates than the general population. Approximately 19.6 per cent of all households in Toronto are in core housing need, and this rate is significantly higher for lone-parent, women-led households (31.9 per cent ) and households where the primary maintainer is a refugee claimant (29.9 per cent), or is Black (29.6 per cent). It should be noted that the core housing need rates published by HART refers to priority populations in either rented or owned dwellings. These rates are likely significantly higher for each priority population when looking specifically at renter households, as renters in general have core housing needs that are notably higher than the overall population.

Priority Population, Based on the Primary Household Maintainer % in CHN
Lone-parent woman 31.87%
Women 23.05%
Indigenous 22.65%
Racialized group 21.26%
Black 29.58%
New Migrant 22.81%
Refugee-Claimant 29.95%
Under-25 24.30%
Age 65+ 23.16%
Age 85+ 26.23%
Physical activity limitation 18.26%
Cognitive, mental or addictions related activity limitation 17.08%
Gender-diverse (trans) 18.91%
Community (All) 19.57%

4.2 Please describe the incidence and severity of homelessness in your community, including an estimated number of individuals and/or families experiencing homelessness (hidden, visible, chronic, living in encampments, and episodic). If available, please include recent Point-in-Time counts.

The City of Toronto declared homelessness an emergency in May 2023, and continues to experience a homelessness crisis, as demonstrated by significant demand for emergency shelter services. Toronto’s shelter system is the largest in Canada. The homelessness service system has been working tirelessly to try to meet growing demand. The City has more than doubled our bedded capacity since 2016. Despite this, the current demand for shelter space is so high that every night the City is unable to provide shelter to hundreds of people requesting space; and those who do have a space may not have the supports they need to stabilize and exit shelter.

As of May 11, 2025, the City is accommodating 9,801 individuals receiving accommodation from City homelessness programs. This includes 9,193 people in the shelter system, as well as 608 people (in families) who are in bridging/triage programs, awaiting a space in the shelter system. As of May 11, 2025, the City was providing accommodation supports to 4,053 refugee claimants experiencing homelessness, with 3,976 people in the shelter system, and 77 people in bridging/triage programs accounting for 41 per cent of all people provided with accommodation.

Toronto’s homelessness service system serves a range of equity-deserving groups, including people experiencing chronic homelessness, seniors, low-income households, people with disabilities, Indigenous people, Black people, refugee claimants, 2SLGBTQ+ people, women, and youth. In March 2025, over 7,000 individuals who had actively experienced homelessness during the past three months were chronically homeless.

Toronto is one among many cities across Canada which continues to see a rise in homelessness, both sheltered and unsheltered, including people living in encampments. Encampment activity is often seasonal, as of May 2, 2025, there were 265 encampments across the city.

4.3 Please describe local factors that are believed to contribute to homelessness in your community (e.g., the closing of a mental health facility, high numbers of refugee claimants, etc.).

The City’s homelessness crisis is occurring for many reasons, including the ongoing housing affordability crisis, mental health and opioid poisoning crisis, insufficient wages and income supports that have not kept pace with the rising cost of living, and limited response coordination at the provincial and national level and limited options record number of refugee claimants seeking emergency shelter. Continued erosion of housing affordability has meant that individuals experiencing homelessness are having to stay longer in shelter programs. In 2011, nearly five unique shelter users were able to use a shelter system bed per year. In 2024 that figure is just above two unique shelter users.

4.4 Please identify temporary and emergency relief resources available for individuals experiencing homelessness in your community (e.g., number of shelter beds, resource centres, number of transitional beds available). If possible, please indicate whether capacity levels are commensurate with need. There will be an opportunity to provide information on local permanent solutions and resources further down.

Toronto’s shelter system will accommodate 12,235 individuals per night in 2025 in the shelters as well as in bridging hotels. Toronto’s shelter system is full. Current demand for shelter space is so high that every night the City is unable to provide shelter to hundreds of people requesting a space. As of May 4, 2025, an average of 157 individuals per day could not be matched to shelter space. There are an additional 216 families on the family shelter placement list waiting for a space in the family shelter system. As a result, the City is experiencing increasing levels of homelessness on the street, in encampments and on the City’s transit system.

4.5 Some groups, including students, those in congregate housing, and temporary foreign workers, may be excluded from publicly available core housing need data sources. Communities are encouraged to use this section to describe the housing needs of these respective populations to ensure that all groups are represented in their HNA.

In Toronto, it is estimated that over 350,000 students are enrolled in public academic institutions. In recent years, an increasing number of post-secondary students have been struggling to meet their basic needs for housing, food, and other life necessities. The higher costs of living, coupled with financial assistance programs that do not reflect increasing costs, are leaving more students financially stretched and overwhelmed. While this is a national trend, it is more prevalent in Toronto, where housing costs are already some of the highest in the country. As a result, more post-secondary students are relying on food banks and homelessness services; they are more likely to experience precarious housing situations and live in over-crowded homes; and are increasingly more vulnerable to housing scams and fraud.

Students are competing for an already limited supply of rental homes that can be expensive for them. For example, average asking rents for a vacant studio apartment in Toronto was $1,880 in October 2024, making it affordable to an individual earning at least $75,200 per year. The average asking rent for a vacant two-bedroom rental apartment was $2,744 in October 2024, which if shared equally between two individuals, would require each tenant to earn $55,000 per year to be able to afford the rent (at 30 percent of their before-tax income). The Ontario Student Assistance Program (OSAP) provides a maximum of $520 per week to single students with no dependents. Full-time international students are currently allowed to work up to 24 hours a week during school year (and full time during academic breaks). Given the variety of factors impacting the earnings of post-secondary students, there is limited data on how much post-secondary students earn on an annual basis however, according to a national survey held in 2021, majority of university of students have an income of $20,000 or less per year.

Between October 2024 and January 2025, the City of Toronto undertook an extensive consultation to capture the experiences, insights, and ideas for action from nearly 2,000 people—primarily students—across public colleges and universities in Toronto. Approximately 82 percent of student respondents live off-campus, with only 10 per cent residing in on-campus housing and eight per cent in other housing arrangements. Among off-campus students, the most common living situations include renting from private landlords (33 per cent), living permanently with family (24 percent), and renting in shared accommodation e.g. multi-tenant houses (17 per cent). This is consistent with the FLASH national survey of over 18,000 students across Canada which showed 61 per cent of the student respondents rent on the private market and six percent live in university residences provided by their academic institutions or private providers.

Some of the key themes that arose from these consultations were:

  • Lack of Affordability – High rents are a major barrier. Many students cannot afford to live independently and rely on family or shared accommodations. Rising costs make long-term planning, such as saving for the future or transitioning out of shared living, very difficult. Indigenous, Black and other racialized groups report a significant income disparity compared to people who identify as White.
  • Housing Quality – Overcrowding, lack of privacy, and poor maintenance (e.g., black mold, leaking roofs) are common issues in lower cost accommodations. Shared accommodations often lead to conflicts with roommates or landlords. Housing in more affordable areas can feel unsafe, with issues ranging from poor building conditions to unsafe neighborhoods.
  • Discrimination and Accessibility – Students report discrimination based on ethnicity, religion, dietary preferences, or nationality when seeking housing, especially in private rentals. Accessibility for people with disabilities is limited, both in housing availability and affordability

5.1 Key Trends in Housing Stock

This section should tell a story of housing changes over time in a community through trends in net change of affordable or below-market housing. This should be expressed through illustrations of net losses or net gains in affordable and non-market housing over the previous three census periods.

5.2 Please provide a brief history of how housing in the community has been shaped by forces such as employment growth and economic development, infrastructure, transportation, climate impacts, and migration. Please include any long-term housing challenges the community has faced

As the most populous city in Canada and the economic focal point of southern Ontario, Toronto maintains a competitive position as a business location and reflects the diversity and strength of the broader regional economy. Toronto has evolved as the focal point for specialized services for the whole region, in fields as diverse as education, health, culture, entertainment, tourism and retailing. The City’s 2024 Toronto Employment Survey recorded 1,600,300 jobs citywide, a new all-time high for the program.

The city’s housing growth has also been shaped by investments in transit. All orders of government are currently making substantial investments in transit expansion in Toronto. Through their transit-oriented communities (“TOC”) program, the Province is creating the opportunity for third-parties to also make investments in transit infrastructure and to integrate transit infrastructure with new development in various locations, thereby bringing more housing and jobs closer to transit.

As a result, Toronto has experienced significant residential and non-residential development in recent decades. The City’s 2023 Development Pipeline contained 800,889 residential units, the highest ever recorded. This is 129,928 more units than the five-year window to 2021, representing growth of 19 per cent in the near-term housing supply. From 2019-2023, 106,071 units were built as a result of Planning approvals and downstream Building Permits, an average of 21,214 units per year. A mix of housing options, including rental and ownership tenure, is important for meeting the needs of a diverse city like Toronto. Condominium ownership units continue to be the predominant tenure for proposed residential units in the Pipeline, however the number of proposed purpose-built rental units is increasing.

However economic pressures resulting from rising construction costs and interest rates, an aging construction workforce, and population growth have constrained housing supply within this development pipeline from being fully unlocked. Housing starts in 2024 in the city of Toronto were notably lower than 2022 and 2023, indicating an expected slowdown in development of new housing.

*Indicates where municipalities will have to source the data.
5.2.1 Housing Units: Currently Occupied/Available, 2021
Characteristic Data Value
Total private dwellings Total 1,160,890
Breakdown by structural types of units (number of units) Single-detached 270,490
Semi-detached 71,955
Row house 62,915
Apartment/flat in a duplex 47,810
Apartment in a building that has fewer than 5 storeys 162,245
Apartment in a building that has 5 or more storeys 542,625
Other single attached 2,770
Movable dwelling 85
Breakdown by size (number of units) Total 1,160,890
No bedrooms 28,765
1 bedroom 330,340
2 bedrooms 334,320
3 bedrooms 268,505
4 or more bedrooms 198,960
Breakdown by date built  (number of units) Total 1,160,890
1960 or before 340,185
1961 to 1980 333,990
1981 to 1990 109,780
1991 to 2000 92,985
2001 to 2005 58,975
2006 to 2010 63,995
2011 to 2015 75,980
2016 to 2021 85,005
Rental vacancy rate (Per cent) 2024 Total 2.3
Bachelor 4.5
1 bedroom 2.7
2 bedrooms 1.7
3 bedrooms+ 1.3
Number of primary and secondary rental units (2021) Primary 269,975
Secondary* 208,768*
Number of licensed and active short-term rental units, March 2025* Total* 8,506*

5.3 In the last five years, how many affordable units for low and very low-income households have been built, and how many have been lost? If data is not available, please describe how the loss of affordable housing units may have impacted your community.

The City does not have data on the exact number of units affordable to low and very low income households lost between 2020 and 2024. However external sources have analyzed data from the 2016 and 2021 Census periods to estimate the total number of rental units in the City of Toronto charging under $1,000 per month that were lost. The City estimates that 1,002 new homes that are affordable to low-income or very-low income were built during the same period, based on projects supported by the City’s affordable housing programs.

5.4 How have average rents changed over time in your community? What factors (economic, social, national, local, etc.) have influenced these changes?

Average market rents have increased by an average of 4.9 per cent annually in the last ten years although the city saw a much lower rate of increase from 2023 to 2024 (increased by only 0.3 per cent) compared to the rate seen in previous years. For example, the average market rent increased by 10 per cent from 2022 to 2023 and by 6.4 per cent from 2021 to 2022.

Factors that have contributed to the increase in average rents in Toronto include the limited supply of rental units, particularly purpose-built rental units, in the city. This limited supply is partly due to the lower profitability of rental housing compared to condominiums, the lack of government support for purpose-built rental housing construction until recently, and a lengthy development process.

The growth of the city’s population has also contributed to the rise in average rents due to a demand for rental housing. Toronto is a major economic and cultural hub which attracts a larger share of immigrants from both outside of, and within, Canada. Recent immigrants, including international students, generally rent their homes, which increases demand and puts pressure on the rental market. However, the introduction of a cap on international student intake in July 2024 and a decrease in immigration targets for 2025-2027 is likely to decrease the demand for rental units in the city.

The continuous rise in house prices has resulted in an increase in demand for rental housing. Despite a slight decline in house prices in recent months as well as lower mortgage rates, renting remains the more affordable option for many households in Toronto. The rise in other non-housing costs make it more of a challenge for households to save for a down payment and/or to qualify for a mortgage, leading many renters to stay in the rental market. Other households may choose to rent to remain close to their jobs in the city, although this may have less of an impact since the pandemic and the rise of work from home and hybrid work arrangements.

The increase in average rents is also influenced by amenities and services that are being included in newer purpose-built rental units as well as upgrades to modernize older purpose-built rental stock.

Average rents in 2024 saw the lowest year-over-year increase in the last ten years, increasing by less than one per cent from 2023 to 2024. This lower rate of increase in overall average rents from 2023 to 2024 is partly due to the recent increase in supply of rental housing. Some of this supply comes from an increase in condominium units that are being rented out, both newly built and existing condominium rental units. There has also been an increase in the purpose-built rental housing supply in the last two years. In 2023, CMHC reported 4,975 new apartment rental completions, up from 2,109 in 2022. In 2024, there were 4,548 apartment rental completions. This new supply has helped ease the pressure on the rental market and provided tenants, particularly middle- and higher-income tenants, with more choice. While the supply has resulted in a slower rate of increase in rents, the average rents remain unaffordable for many lower-income tenants in Toronto.

5.5 How have vacancy rates changed over time? What factors have influenced this change?

The overall vacancy rate for purpose-built rental units in Toronto increased from 1.4 per cent in 2023 to 2.3 per cent in 2024. This is slightly above the 10-year historical average of 2.1 per cent but still below what is considered a balanced rate of three per cent. The factors impacting average rents discussed above also affect rental vacancy rates. In particular, the recent increase in supply, both of purpose-built and condominium rental units, has provided tenants with more rental housing options and existing landlords with more competition.

5.6 How have trends in core housing need changed over time between both tenant and owner-occupied households?

Core Housing Need (CHN) rates for both owner and renter households declined in 2021 compared to 2016, with 29.3 per cent of renter households in CHN and 10.8 per cent of owner-occupied households. These rates have also declined from 2011 CHN rates, however, the 2021 Census (May 11, 2021) took place at the peak of the COVID-19 pandemic, and hence caution must be applied when comparing the 2021 data to previous census year or when interpreting the 2021 data as indicating long term trends Specifically in the context of households in CHN, the impact of emergency benefits such as the Canada Emergency Response Benefit (CERB) as well as the migration away from small units in city centers should be taken into consideration. Given more recent trends since 2021 in Toronto of increasing rents and home prices, the City anticipates that the Core Housing Need rate for both owner and renter households will increase in 2026 above 2021 and 2016 levels.

This is a line chart showing the share of households in core housing need (CHN), by tenure. There are two categories, renters and owner occupied. The renters percentage start from 38.2% in 2006, drops to 32.9% in 2011, rises to 36.5% in 2016, and drops to 29.3% in 2021. The owner occupied category starts from 12.2% in 2006, drops to 11.5% in 2011, a slight rise to 12.1% in 2016 and drops to 10.8% in 2021.

5.7 Non-Market Housing

*Indicates where municipalities will have to source the data.
5.7.1 Current Non-Market Housing Units
Characteristic Data Value
Number of housing units that are subsidized, 2021* Total 78,820 (Source: 2021 Census)*
Number of housing units that are below market rent in the private market (can either be rent or income-based definition), 2024* Total At least 81,592 (based on total number of units in the rental universe in 2024 that were charging rents affordable to the first and second income quintiles), source: CMHC 2024 Rental Market Supply Report)*
Number of co-operative housing units, 2023* Total 33,978 Source: CMHC 2023 Social and Affordable Housing Survey (custom data for Toronto CSD)*
Number of other non-market housing units (permanent supportive, transitional, etc.), 2024* Total 92,882, which incudes subsidized units noted above, as well as other non-market affordable homes. Source: City of Toronto internal data*

5.8 Please describe any other affordable and community housing options and needs/gaps currently in your community that are not captured in the table above.

Examples can include:

  • Are any of these affordable housing units accessible or specifically designed for seniors, including long-term care and assisted living?
  • Does your municipality provide rent supplements or other assistance programs that deepen affordability for households?
  • Is your community in need of supportive housing units with wrap-around supports, such as for those with disabilities?

    As part of the 2020-2030 HousingTO Action Plan, the City has set a target to approve 47,500 affordable homes, including 6,500 deeply affordable homes, The City has also set a target of approving the development of 18,000 supportive homes during this same ten-year period.

    In recognition of the need to support priority populations, as part of the 10-year HousingTO Plan the City has set a target of approving at least 10,000 new homes that are intended for women-led and gender-diverse households, and 5,200 homes that are delivered by Indigenous housing providers and for Indigenous-led households. To support seniors, the City has set a target of creating 1,500 new non-profit long-term care beds.

    In addition, the City has set a target to improve housing affordability for 40,000 renter households by providing housing allowances, and housing benefits through the Canada-Ontario Housing Benefit (COHB), a portable housing benefit that helps people obtain and afford housing in the private market, which is funded jointly by the federal and provincial governments and for which the City identifies and supports eligible applicants. COHB is prioritized to support access to permanent housing for individuals and families experiencing homelessness.

    5.9 Housing Trends

    *Indicates where municipalities will have to source the data.
    5.9.1 Housing Values
    Characteristic Data Value
    Median monthly shelter costs for rented dwellings (Canadian dollars, 2020) Median $1,500
    Purpose-built rental rents by unit size (Average, Canadian dollars, 2024) Total $1,851
    Bachelor $1,456
    1 bedroom $1,715
    2 bedrooms $1,984
    3 bedrooms+ $2,232
    Purpose-built rental prices by unit size (Median, Canadian dollars per month, 2024) Total $1,760
    Bachelor $1,450
    1 bedroom $1,699
    2 bedrooms $1,917
    3 bedrooms+ $2,000
    Sale prices (Canadian dollars, YTD 2024, all housing types)* Average $1,107,233
    Median $880,000
    Sale prices by unit size, new condominiums  (Average, Canadian dollars, 2020)* Average $1,096,620
    Bachelor $439,650
    1 bedroom $488,500
    2 bedrooms $732,750
    3 bedrooms+ $928,150
    Sale prices by unit size  (Median, Canadian dollars, Q4 2024)* Median $622,000 (median prices by unit type not available)
    Bachelor -
    1 bedrooms -
    2 bedrooms -
    3 bedrooms+ -

     

    *Indicates where municipalities will have to source the data.
    5.9.2 Housing Units: Change in Housing Stock, 2011- 2021 
    Characteristic Data Value
    Demolished – breakdown by tenure* Total 1,781 – unable to break down by tenure
    Completed – Overall and breakdown by structural type (annual, number of structures) Total 346,220
    Single 88,868
    Semi-detached 13,535
    Row 45,060
    Apartment 198,757
    Completed – Breakdown by tenure (annual, number of structures) Total 164,480
    Completed – Breakdown by tenure (annual, number of structures) Tenant 16,034
    Owner 15,669
    Condo 132,744
    Coop 33
    Housing starts by structural type and tenure* Total 243,910

    This section projects population trends from the previous 10 years, dividing by income category and target housing costs while considering migration trends. An example of a benchmarked projection from Edmonton’s Affordable Housing Needs Assessment is provided below.

    This image shows Edmonton's Household Growth Projection between 2016 and 2026. The graph starts from 360,845 in 2016, rises to 400,944 in 2021, and expected to increase again to 437,281 in 2026.

    HNAs should be able to convey through their data-driven narrative how many housing units are needed by income category, household size and dwelling type over the next 10 years. In completing this section, communities must carefully consider their past growth trends and future demographic projections, including recent immigration patterns, aging population dynamics, and economic trends. Furthermore, it is also crucial for communities to consider any pre-existing housing shortages, as evidenced by indicators such as recent trends in rental vacancy rates, growth in prices/rents, the number of households in core housing need, and the aging of their current housing stock.

    6.1 Projection Methodology Guidelines

    There are several projection methodologies that can be used to project housing demand, including the HART housing needs projection. The federal government recommends using the HART methodology as a reference point, with additional considerations and data points to improve the validity of the methodology. These considerations, including economic data integration and supply capacity and gaps as well as steps for calculating the methodology are noted below. Provinces and territories, in consultation with their municipalities/communities, are invited to use a methodology that fits their regional circumstances, ensuring the assumptions that inform their preferred methodology are also clearly explained. The federal government will review the HNAs as a requirement for its various funding programs and assess the methodology and assumptions that inform it for their validity and robustness. If needed, further engagements can take place to better align the preferred methodology with the federal government’s expectations.

    In employing a projection methodology, jurisdictions may find the following list of key considerations and steps useful. The following approach involves first projecting the population into the future, then projecting household formation from headship rates, and then demand for housing by tenure, dwelling type and size, family type and income groups. Following the Population Projection, Household Projection and Housing Demand Projection steps, a table is presented of the key considerations for each step in the process.

    Step 1: Population Projection
    • Conceptually the projected population is calculated as the survived population + births + projected net migrants. An example of an accepted method to calculate population projection is the Cohort-Component population projection method.
    Step 2: Household Projection
    • Project family and non-family households separately by multiplying the projected population by age group in a given year with projected headship rates (household formation) by age group in a given year.
    • A headship rate represents the probability that a member of a given age group will head (maintain) a household of a given type (family or non-family). Historical headship rates are calculated as the ratio of household heads in an age group to the population of that age group.
    • Total headship rates can be determined by adding family and non-family headship rates together for a given age group and year. An increase in the total headship of any particular age group means that overall a higher proportion of that group heads households than previously. The converse holds true for a decrease in the total headship rate. Thus, the total rate is an overall indication of the propensity to form households in a particular age group.
    • Project both family and non-family households by household type (composition), including couples without children, couples with children, lone parents, multiple-family households, one-person households, and other non-family households. This can be achieved by multiplying the projected number of households in a particular age group by the projected household type proportions for that age group.
    • Historical proportions for family households are the ratio of the number of family households of a given type in an age group to the total number of family households headed by that age group.
    • Historical proportions for non-family households are the ratio of the number of non-family households of a given type in an age group to the total number of non-family households headed by that age group.
    • Project net household formation according to family and non-family household types by calculating the difference between projected households in successive years.
    Step 3: Housing Demand (Need) Projection
    • Project the number of owner households within a particular age range and household type by multiplying projected household by type (family and non-family) by projected ownership rates.
    • Project the number renter households by calculating the difference between projected households and the number of projected owner households.
    • Historical ownership or renter rates are the ratio of the number of owning/ or renter households of a given type and age of head to the total number of households (owners and renters combined) of that type and age of head.
    • Project dwelling type (single, semi, row, apartment) by multiplying projected age-specific renter and owner dwelling choice propensities by household type (family and non-family) with the projected number of renter and owner households of the given household type and age group.
    • Historical dwelling choice (occupancy) propensities describe the proportion of a given household type, tenure, and age of head group occupying each of the four dwelling types.
    • Finally, communities should integrate assessments of pre-existing housing shortages into their final calculations. This integration should be informed by a thorough review of the preceding quantitative and qualitative analyses within the HNA. Additionally, communities should utilize the data and more advanced methodologies detailed in the Annex to ensure a comprehensive estimation of these shortages.
    HART Household Projections – Projected Households by Household Size and Income Category
    • The HART methodology estimates the total number of units by type (number of bedrooms) and with reference to income categories that will be needed to house a community’s projected population.
    6.1.1 Projected Households by Household Size and Income Category
    *Indicates where municipalities will have to source the data.
    HH Income Category 1 person 2 person 3 person 4 person 5+ person Total in 2031
    Very Low Income* 53,542 9,021 625 0 0 62,602
    Low Income* 159,445 59,459 11,512 2,586 0 231,796
    Moderate Income* 89,169 80,637 30,816 14,598 7,236 228,018
    Median Income* 76,550 86,256 45,873 30,040 17,972 251,126
    High Income* 62,183 166,001 102,623 106,623 69,907 506,921
    Total* 440,889 401,369 191,449 153,434 95,115 1,280,463

    Key Considerations

    Population

    • It is strongly advised to use the updated post-census population estimates for 2022 as your base population provided by Statistics Canada’s demographic estimates division. These estimates account for any discrepancies in population counts, whether they are undercounts or overcounts. These estimates also smooth out the sharp downturn in immigration due to the pandemic in 2020/21. Please refer to annex for links to Statistics Canada CSD and CMA estimates.
    • If historical fertility, survival and mortality rates by age category are stable and not trending, apply average historical rates to current population by age to project forward. If rates do trend by age over time, estimate the average change in rates in percentage points and add to current rates when projecting forward for the baseline scenario.
    • For larger communities and centres where the data exists, disaggregate and project baseline net migration flows for respective components (i.e., net interprovincial, net intra migration and net international). Disaggregate net international migration and project its components further (emigration, returning Canadians, non permanent residents, etc.) and use recent growth trends per flow to project total net international migration. In projecting international migration, it will be important for communities to use the more updated federal immigration targets as an anchor.
    • Because of the economic uncertainty triggered by the COVID-19 pandemic and potential future shocks, larger communities are expected to create one additional population scenario (high) to supplement the baseline. Utilize StatsCan projection methodology for fertility, survival, and migration to establish the high scenario. Consult Statistics Canada’s population projection report cited in the appendix. Communities should avoid using low population or migration scenarios to prevent housing need undercounting.
    • Smaller Communities:
      • In smaller centers where population projection scenarios are unavailable from StatsCan, but there is the capacity to generate them, cities can resort to using historically high population growth rates or migration scenarios as alternative methods for projecting future population.
      • One industry communities should also develop multiple population scenarios to manage economic volatility.

    Household Projections

    • Headship rate is commonly defined as the ratio of the number of households by age to the population of adults by age in each community and can be used to project future households.
    • If historical headship rates data is not trending or stable by age, apply the average historical census family/non-family headship rates by age group to the corresponding population within each age group.
    • If historical headship rates by age is showing a trend over time, include the average historical census family/non-family headship rates percentage point change to the current headship rate. Subsequently, apply these adjusted headship rates by age to the corresponding population within each age group. By incorporating average historical headship rates into household projections, communities can mitigate the impact of potential decreases in recent headship rates that may be due to housing unaffordability, therefore avoiding artificially low household projections.

    Housing Demand

    To project housing demand by tenure:

    • If ownership rates for family/non-family households within specific age groups are not showing a trend over time, apply the average historical ownership rates to projected households by age. The remaining households are considered renter households by age.
    • If ownership rates for family/non-family households within specific age groups are trending over time, include the average historical percentage point change to the current ownership rates. Apply these adjusted ownership rates to household counts by age to project tenure by age. The remaining households are considered renter households by age.

      To project housing demand by dwelling type:

      • If historical dwelling propensities by family type, age, and tenure are not exhibiting a trend, apply the average historical demand propensity by type, age, and tenure to project households by type, age, and tenure.
      • If historical demand type propensities are trending, incorporate the average percentage point change in demand type propensities to the current propensities. Apply these adjusted propensities to household types to estimate future dwelling propensities.

        Economic Data Integration

        • Relying solely on traditional demographic approaches to forecast housing needs can underestimate housing demand.
        • Headship rates by age and family type can be projected by considering economic factors as explanatory drivers. These factors could include income, unemployment rates, prices, rents, and vacancy rates.
        • CMHC is developing models to project headship rates for household maintainers aged 18-34 in provinces and larger metropolitan areas. Larger communities can benefit from leveraging these projections.
        • Using an economic approach to project headship rates and incomes facilitates the estimation of household counts by age, size, tenure, and income. When integrated with dwelling type, price, and rent data, this approach assists in identifying potential households in core housing need.

        Supply Capacity & Supply Gaps

        • Housing need projections should be adjusted upwards or downwards to account for the net effects of conversions, demolitions, and vacant units in each community.
        • Where data is available, communities should assess future capacity by compiling data on draft approved serviced lots, categorized by dwelling type and tenure, that will be available for residential development.
        • When combined with household projections by dwelling type and tenure, help estimate supply gaps.
        • In addition, larger communities can leverage supply gap estimates from CMHC to help inform where need is greatest and to identify housing shortages.

        6.2 Projection Methodology

        Housing Needs Assessment Projections

        The City of Toronto has its own method of calculating projections that is separate from the HART methodology outlined in the Housing Needs Assessment. As a result, the values provided in tables 6.2.1, 6.3.1 and 6.3.2 of the Housing Needs Assessment do not necessarily feed into each other. The values provided in these tables are largely derived from analysis the City of Toronto completed for its Land Needs Assessment (LNA). Adopted by the Planning and Housing Committee of Toronto City Council on April 13, 2023, the LNA was a provincially mandated study to determine the quantity of land required to accommodate forecasted population, household and employment growth to 2051.

        The City of Toronto has its own method of calculating projections that is separate from the HART methodology outlined in the Housing Needs Assessment. As a result, the values provided in tables 6.2.1, 6.3.1 and 6.3.2 of the Housing Needs Assessment do not necessarily feed into each other. The values provided in these tables are largely derived from analysis the City of Toronto completed for its Land Needs Assessment (LNA). Adopted by the Planning and Housing Committee of Toronto City Council on April 13, 2023, the LNA was a provincially mandated study to determine the quantity of land required to accommodate forecasted population, household and employment growth to 2051.

        Below is a brief description of the calculations involved in the LNA. More detail about the LNA methodology can be found in the staff report that was presented to the Planning and Housing Committee of Toronto City Council. Components of the Housing Needs Assessment that were not covered by the LNA are described below. Projected values for the Housing Needs Assessment are for 2031.

        Population Forecasts and Projections

        For the LNA, a cohort-component model was constructed to project the population by single years of age and sex to 2051. The population forecast in Schedule 3 of the Growth Plan, and supporting forecasts in the Technical Report by Hemson Consulting Ltd, were used as control totals. (See Attachment 2 of the LNA staff report for the detailed methodology.) The projection timeframe was thirty-five years, for each five-year period from 2016 to 2051 with 2016 as the base year and 2021 as the first projection year. The demographic projections were adjusted to correspond to the Growth Plan population forecast as well as other scenarios. The estimated Census net undercount was included.

        Information on births and deaths were converted into one-year and five-year mortality rates and smoothed using curve-fitting analysis to produce mortality rates and trends applicable over the projection horizon.

        Population cohorts were multiplied by their respective survivorship rates to yield a surviving population in subsequent time periods. Age-specific survivorship rates were created, representing the proportion of the population remaining after the mortality rate was applied. This determined how many people of a given age survive into the next projection period. Age-specific five-year survivorship rates were applied to all age cohorts.

        The cohorts of the female population of childbearing age were multiplied by the respective fertility rates to yield numbers of live births. A smoothed curve was estimated for 2016 and projected to 2046. These were multiplied by one-year survivorship rates to calculate net natural increase for those zero to four years of age.

        To arrive at a base migration rate, net migration for each age cohort was first estimated by comparing the difference between the 2011 population projected via natural increase and the 2016 actual counts for population and migration. In-migration from other parts of Canada and other parts of the world is captured by the Census, as is outmigration to other parts of the province and the country. The Census cannot capture emigration which instead is inferred as the difference between the two sets of actuals. Emigration is the difference between the 2011 population projected via natural increase and the 2016 actual counts, less net migration. Once estimated, an out-migration rate was calculated for single years of age and used for the projection period. For each age cohort, out-migration was the surviving population of the cohort five years younger in the prior time period multiplied by the 2011-2016 out-migration rate.

        Housing Demand

        To determine whether or not there was sufficient residential potential to accommodate the forecasted growth in the City, household projections were developed as part of the LNA to represent the demand for housing. Along with the analysis of the City’s residential potential, this enabled the construction of a reasonable model of how and when the forecasted population could be accommodated within the City in accordance with Official Plan policies, over the thirty-five years from 2016 to 2051.

        Housing occupancy statistics and trends over the past twenty years based on Statistics Canada data were used to convert the projected population into projected city-wide demand for housing by dwelling type and tenure for each five-year period to 2051. The analysis was informed by the trends observed in two research bulletins:

        First, the projected population in occupied private dwellings was calculated by multiplying the age-specific projected population by the 2016 age-specific ratio of people living in private dwellings. Next, the overall number of households by age was projected by multiplying the projected population in occupied private dwellings by age by 2016 age-specific headship rates.

        Dwelling Type

        To match the guidance in the LNA Methodology as closely as possible, households were projected by five different dwelling types:

        • Single-detached and semi-detached houses,
        • Row Houses,
        • Apartments or flats in duplexes, and other dwelling types,
        • Apartments in buildings with fewer than five storeys, and
        • Apartments in buildings with five or more storeys.

        The household projections by dwelling type were calculated by multiplying the projected age-specific population in private dwellings by the age- and dwelling-type-specific headship rates.

        Tenure

        Condominium units can be occupied by their owners, or they can be rented out to another household. Therefore, the tenure types explored in the LNA analysis and the analysis of Housing Occupancy Trends 1996-2016 included the tenure of households by condominium status as follows:

        • Owner-occupied units that are not condominiumized
        • Owner-occupied that are condominiumized
        • Renter-occupied units that are not condominiumized
        • Renter-occupied units that are condominiumized.

        The household projections by tenure were calculated by multiplying the projected age-specific population in private dwellings by the age- and tenure-specific headship rates.

        For both the household projections by dwelling type and by tenure, additional calculations were undertaken to account for recent trends that are expected to continue, such as declining average household sizes and increasing proportions of unit completions consisting of apartments in buildings of five or more storeys, small units, and condominiums. This resulted in demand-driven projections of housing need. The detail of the projections by tenure at the early stage of the LNA Projections was superseded by the locational specifics of the potential housing supply from the various sources of supply.

        Household Type

        The LNA did not project households by household type. Therefore, for the Housing Needs Assessment exercise, projected family and non-family households were calculated by multiplying the projected households in 2031 by the 2021 ratios of family and non-family households respectively from the Housing Occupancy Trends 2021 analysis, extrapolated to 2031 to account for the trend in declining family household headship. Note that the LNA was based on the 2016 Census and was informed by the City’s Housing Occupancy Trends 1996-2016 research bulletin.

        Total Projected Headship Rate

        The LNA projections were based on persons per household values rather than headship rates. Therefore, for the Housing Needs Assessment exercise, headship rates were calculated by carrying forward the 2021 headship rate to 2031.

        Projected Net Household Formation

        This value was calculated by subtracting the number of households in the 2021 Census from the projected number of households in 2031.

        Projected Dwelling Choice

        These values are based on historical occupancy trends as opposed to dwelling choice. This analysis was informed by the City’s Housing Occupancy Trends 1996-2016 research bulletin.

        Household Age

        Households were projected by five-year age cohorts in the LNA. The projected average household age calculation involved two steps. In the first step, the projected 2031 households by age was multiplied by the median age of each five-year cohort. For example, the median age in the first cohort, 15-19 is 17.5. This number was multiplied by the projected number of households led by Primary Household Maintainers aged 15-19, 3,570. This calculation was repeated for every age cohort. The median of the oldest age range, 85+, was assumed to be 89 to account for the fact that this range includes households aged in their 90s and beyond but that there are more households at the younger end of the range. In the second step, the products for each age cohort was summed and that sum was divided by the total projected number of households for all ages.

        The projected median household age is calculated as the approximate midpoint of the cumulative frequency of households by age. First, the projected number of households in each successive age cohort in 2031 was summed (i.e. households aged 15-19 plus households aged 20-24, etc.). Then the midpoint of the total number of projected households was calculated. That midpoint fell between the cumulative frequencies of two different age group categories for 2031 (45-49 and 50-54), meaning that the midpoint includes some but not all of the households aged 50-54. To estimate where that midpoint fell within that five-year age range, the cumulative frequency of the next lowest age category below the midpoint (45-49) was subtracted from the midpoint value. This value was then calculated as a percent of the difference between the cumulative frequencies of the two midpoint-adjacent age categories (45-49 and 50-54). That percentage was then added to the lowest age in the 50-54-year age category to obtain an estimate of the median household age for 2031.

        Households by Income

        These values come from Table 6.1.1.

        Average Household Size

        This value represents the projected population divided by the projected households for 2031, with additional adjustments to account for the trend of declining average household sizes that had been projected across the projection time horizon, further adjusted for the composition of the anticipated housing supply.

        Housing Supply

        Through the LNA, potential housing supply was identified from a variety of sources including current development proposals that represent market-based demand, as well as remaining residential potential within Official Plan growth management areas, major redevelopment opportunities, as-of-right construction and estimated demolitions. An integrated housing supply model was constructed, combining the various sources of potential supply by location, dwelling type, time period and likelihood. The utilization of the potential supply was driven by the projected household demand by dwelling type in each period that was to be accommodated. This was used to identify the distribution of potential housing across the city over time by type of dwelling.

        Anticipated Units by Type

        Figures are from the LNA household projections based on the composition of the anticipated housing supply. For supply by dwelling type, and given the composition of the potential housing supply, the LNA grouped dwelling types into two categories: apartments in buildings with five or more storeys and ground-related (all other dwelling types including apartments in buildings with fewer than five storeys).

        Anticipated Units by Number of Bedrooms

        The LNA projected units by structural type of dwelling and did not project units by number of bedrooms; however, the City of Toronto’s Right-Sizing Housing and Generational Turnover bulletin estimated future demand for housing by number of bedrooms. Therefore, to align with the overall household projections calculated in the LNA, the projected households by number of bedrooms was calculated for the Housing Needs Assessment by applying the proportion of estimated households by bedroom type calculated in the Right-Sizing bulletin to the total projected households calculated for the LNA. This analysis assumes that the demand for bedrooms will remain consistent by age in the future, and that the number of units demanded in future by number of bedrooms will be matched by the supply of units by bedrooms. The Right-Sizing bulletin estimated demand separately for studios (i.e. units without bedrooms) and one-, two-, three-, and four-or-more bedroom units, so the values provided in table 6.3.2 group studios and one-bedroom units together and group four- and five-or-more bedroom units together.

        Draft Approved Lots by Planned Housing Type and Tenure

        These measures do not apply to the City of Toronto as the city is fully urbanized with no greenfield area. All development within the city is intensification, including the redevelopment and gentle intensification of existing subdivided land. The large majority of the proposed development in the city consists of apartments in buildings with five or more storeys as opposed to ground-related lots. The potential for ground-related intensification is increasing through a variety of changes to housing policy and zoning regulation e.g. through the Expanding Housing in Neighbourhoods initiatives. The relevant measures are provided above in Table 6.3.2 regarding anticipated units.

        *Indicates where municipalities will have to source the data.
        6.2.1 Projections to 2031 without Estimated Net Undercoverage
        Characteristic Data/Formula Value
        Women by age distribution (# and %)* 0-14 244,430
        15-19 81,180
        20-24 87,855
        25-64 891,835
        65-84 304,510
        85+ 69,715
        Male Births* Births x Estimated Proportion of Male Births 170,392
        Female Births* Total births – Male Births 161,253
        Survival Rate* Survival rate for those not yet born at the beginning of the census year Average 5year Rates:

        2021, 2026

        Males: 0.9996

        Females: 0.9994

        Net Migrations* Net migration (in and out) of those not yet born at the beginning of the census year 61,401
        Projected Family Households* Age-group population x projected age-specific family headship rate 817,864
        Projected Non-family Households* Age-group population x projected age-specific non-family headship rate 610,301
        Total Projected Headship Rate* Family headship rates + non-family headship rates 42.0%
        Projected Net Household Formation* Projected households by type (family and non-family) (Year 2) – Projected households by type (family and non-family) (Year 1) 267,270
        Projected Owner Households* Projected households by type, year and age group x Projected ownership rate by type, year and age group 764,280
        Projected Renter Households* Projected households by type, year and age group – projected owner households by type, year and age group 659,890
        Projected Dwelling Choice* Projected households by type, tenure and age group x projected dwelling choice propensities by type, tenure and age group 364,965: Singles & Semis

        71,395: Row houses

        57,335: Duplex/Other

        189,400: Apartments in buildings with fewer than five storeys

        745,070: Apartments in buildings with five or more storeys

        6.3 Population and Households Projections

        6.3.1 Anticipated Population by 2031
        *Indicates where municipalities will have to source the data.
        Characteristic Data Value
        Anticipated population* Total 3,184,660 without undercoverage

        3,287,055 with undercoverage

        Anticipated population growth* Total 245,145 without undercoverage

        243,025 with undercoverage

        Percentage 8.34%
        Anticipated age* Average 42.7
        Median 41.4
        Anticipated age distribution (# and %)* 0-14 505,260 (15.9%)
        15-19 162,175 (5.1%)
        20-24 168,845 (5.3%)
        25-64 1,681,415 (52.8%)
        65-84 555,850 (17.5%)
        85+ 111,115 (3.5%)

         

        6.3.2 Anticipated Households by 2031
        *Indicates where municipalities will have to source the data.
        Characteristic Data/Formula Value
        Current number of households* Total 1,160,895 (2021)
        Anticipated number of households* Total 1,428,165
        Anticipated Household Age* Average 52.5
        Median 50.2
        Anticipated Households by Tenure* Renter 659,890
        Owner 764,280
        Anticipated Units by Type* Total 1,430,261
        Single 642,555
        Semi-detached
        Row
        Apartments in Buildings with Fewer than 5 Storeys
        Apartments in Buildings 5+ Storeys 787,706
        Anticipated Units by Number of Bedrooms* 1 bedroom 417,963
        2 bedroom 404,320
        3 bedroom 352,713
        4 bedroom 253,168
        5 bedroom
        Anticipated Households by Income* Average Not available
        Median 251,126
        Very Low 62,602
        Low 231,796
        Moderate 228,018
        High 506,921
        Anticipated average household size* Total 2.19
        Draft approved lots by planned housing type* Total Not applicable
        Draft approved lots by tenure* Tenant Not applicable
        Owner Not applicable

        7.1 This final section aims to determine how your community anticipates using the results and findings captured in the Housing Needs Assessment to inform long-term planning as well as concrete actions that can address identified needs. Please use the following questions to describe how those linkages will be made.

        How will this HNA inform your official community or development plan, housing policies and/or actions going forward?

        For example, if the HNA identifies specific needs in your community across the housing spectrum – such as housing needed for priority populations, units for large households in denser form factors, more diverse structural types such as missing middle housing, or more affordable and higher-density housing near transit – how could actions and changes in policy and planning help address those needs?

        The findings from this HNA demonstrate that there is a strong need for accelerating the delivery of housing supply in Toronto and will inform the development and/or ongoing implementation of a range of the City’s policies and housing plans, including:

        • 2020-2030 HousingTO Action Plan
        • 2022-2026 Housing Action Plan
        • The City’s Academic Housing Strategy
        • The City’s forthcoming Black Housing Framework

              How will data collected through the HNA help direct those plans and policies as they aim to improve housing locally and regionally, and how will this intersect with major development patterns, growth management strategies, as well as master plans and capital plans that guide infrastructure investments?  

              Most of Toronto’s future housing supply will need to be accommodated through intensive use of the existing land and building supply, including high-density residential development. The City has effectually built-out its land supply and has very limited opportunities for greenfield development sites. More intensive forms of development have many effects on land use and infrastructure planning, and therefore, the City as new projects are increasingly complex and contentious in a highly urbanized, built-out environment. The City’s infrastructure needs to be maintained, replaced and expanded to accommodate growth, which has major municipal finance implications. These considerations will inform future updates to the City’s Corporate Asset Management Plan, and annual Operating and Capital Budgets.

              Based on the findings of this HNA, and particularly the projected housing needs, please describe any anticipated growth pressures caused by infrastructure gaps that will need to be prioritized and addressed in order to effectively plan and prepare for forecasted growth. This can relate to any type of enabling infrastructure needed for housing, including fixed and non-fixed assets, as well as social, community or natural infrastructure that your local government has identified as a priority for fostering more complete and resilient communities.

              Existing and future Toronto residents rely on the City to deliver important services that depend on infrastructure such as transit, roads, bridges, water and wastewater assets, solid waste assets and emergency facilities. Quality of life for future generations of Torontonians also hinges on the City being able to secure and deliver community infrastructure, such as community centres, libraries and child care facilities, as well as digital infrastructure. Much of this infrastructure is critical to enabling the delivery of new housing supply. The City’s population and housing needs projections demonstrate that accelerating the delivery of this housing-enabling infrastructure will be necessary to deliver this needed housing supply.

              Affordable Housing: A dwelling unit where the cost of shelter, including rent and utilities, is a maximum of 30 per cent of before-tax household income.

              Area Median Household Income: The median income of all households in a given area.

              Cooperative Housing: A type of residential housing option whereby the owners do not own their units outright. This would include non-profit housing cooperatives, as stand-alone co-operatives or in partnership with another non-profit, including student housing co-ops, as well as Indigenous co-ops, including those in partnership with Indigenous governments and organizations. This does not, however, include homeownership co-ops or equity co-ops that require an investment, which along with any profit earned, is returned to co-op investors.

              Core Housing Need: Refers to whether a private household’s housing falls below at least one of the indicator thresholds for housing adequacy, affordability or suitability, and would have to spend 30 per cent or more of its total before-tax income to pay the median rent of alternative local housing that is acceptable (attains all three housing indicator thresholds).

              • Adequate – Does not require any major repairs, according to residents. Major repairs include those to defective plumbing or electrical wiring, or structural repairs to walls, floors or ceilings.
              • Suitable – Has enough bedrooms for the size and make-up of resident households, according to guidelines outlined in National Occupancy Standard (NOS).
              • Affordable – All shelter costs total less than 30 per cent of a household’s before-tax income.

                  Household: A person or a group of persons (other than foreign residents) who occupy a private dwelling and do not have a usual place of residence elsewhere in Canada.

                  Household Formation: The net change in the number of households.

                  Supportive Housing: Prioritizes people experiencing chronic homelessness and other vulnerable people who have the highest support needs. It provides long-term affordable housing and a diversity of customized support services.

                  Permanent Supportive Housing: Prioritizes people experiencing chronic homelessness and other vulnerable people who have the highest support needs. It provides long-term affordable housing and a diversity of customized support services.

                  Purpose-Built Rental: Also known as the primary rental market or secure rentals; multi-unit buildings (three or more units) which are built specifically for the purpose of providing long-term rental accommodations.

                  Short-Term Rentals: All or part of a dwelling unit rented out for less than 28 consecutive days in exchange for payment. This includes bed and breakfasts (B&Bs) but excludes hotels and motels. It also excludes other accommodations where there is no payment.

                  Suppressed Household Formation: New households that would have been formed but are not due to a lack of attainable options. The persons who would have formed these households include, but are not limited to, many adults living with family members or roommates and individuals wishing to leave unsafe or unstable environments but cannot due to a lack of places to go.

                  Missing Middle Housing: Housing that fits the gap between low-rise, primarily single-family homes and mid-rise apartment buildings, typically including secondary and garden suites, duplexes, triplexes, fourplexes, rowhouses and townhouses, courtyard housing, and low-rise apartment buildings of 4 storeys or less. These housing types provide a variety of housing options that add housing stock and meet the growing demand for walkability. The missing middle also refers to the lack of available and affordable housing for middle-income households to rent or own.