Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

Between 2000 and 2022, the average income of women employed in Toronto, in the Canadian province of Ontario, fluctuated but increased overall, rising from 41,900 Canadian dollars in 2000 to 52,400 dollars two decades later. By contrast, men's employment income only has risen from 71,600 to 72,200 Canadian dollars over the same period.

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

This map shows median income of individuals, for the population 15 years of age and over reporting income in 1995 (not including institutional residents). The highest median incomes were observed in the urban areas of Vancouver, Calgary, Toronto, Ottawa-Hull, Montreal, and Quebec. According to the 1996 Census, close to 21 million individuals reported income for 1995. The total income from all sources reflected a 6% decrease when compared to 1990. The national median income for Canada was $18 891. Incomes of individuals and families living in rural Canada tended to be lower than for urban areas. Differences in income distributions were also significant within major urban areas. Nearly 80% of the total population lived in census metropolitan areas.

Between 2017 and 2019, the difference between the median wages, salaries, and commissions of women and men employed in Toronto, in the province of Ontario in Canada, was between 10,060 and 10,650 Canadian dollars. In 2022, this gap was over 11,000 Canadian dollars. Since 2017, the median wages, salaries, and commissions of men have increased relatively steadily, while those of women decreased between 2019 and 2020.

This statistic depicts the median annual family income in Canada from 2000 to 2020. In 2020, the median annual family income in Canada was 96,220 Canadian dollars.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, gender, and age group.

Prospective homebuyers in Vancouver, British Columbia, and Toronto, Ontario, needed an annual income of over ******* Canadian dollars in June 2025 to qualify for the average priced home. In Vancouver, this figure was approximately ******* Canadian dollars. British Columbia and Ontario, are Canada's most expensive provinces for housing. According to a January 2025 forecast by the Canadian Real Estate Association (CREA), the housing market is expected to grow in the next two years, which is likely to worsen home affordability.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

The City of Toronto monitors food affordability every year using the Ontario Nutritious Food Basket (ONFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, ONFB data is best used to assess the cost of living in Toronto by analyzing food affordability in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 13 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - rent food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC).

Canada Construction Union Wage Rate Index: Annual: Toronto data was reported at 124.567 2007=100 in 2017. This records an increase from the previous number of 122.433 2007=100 for 2016. Canada Construction Union Wage Rate Index: Annual: Toronto data is updated yearly, averaging 82.517 2007=100 from Dec 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 124.567 2007=100 in 2017 and a record low of 18.342 2007=100 in 1971. Canada Construction Union Wage Rate Index: Annual: Toronto data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G045: Union Wage Rate Index: Construction: 2007=100.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

This dataset includes two tables which were custom ordered from Statistics Canada. One table includes information on shelter cost to income ratio and total shelter cost by tenure, household type, and household income. The other table includes variables on housing characteristics (total number of bedrooms, structural type, and tenure), and households (household size, household type, and age of primary household maintainer). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom Order from Statistics Canada TABLE 1 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Tenure: Owner (with and without mortgage), renter, subsidized, not subsidized Shelter Cost to Income Ratio: less than 15%, 15-30%, 30-50%, 50% or more, not applicable Household Type: -Census-family households -One-census family households without additional persons -One couple census family without other persons in the household -With children -Without children -One lone-parent census family without other persons in the household -One-census-family households with additional persons -One couple census family household with additional persons -One lone-parent census family with additional persons in the household -With children -Without children -One lone-parent census family with other persons in the household -Multiple census-family households -Non-census family household -One person households -Two or more person non-census households Total Shelter Cost: under $500 to over $3000 in intervals of $250 and $500 Household Income: in intervals of $10,000 up to $100,000 or more TABLE 2 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Total number of bedrooms: No bedrooms to 4 or more bedrooms Tenure: Owner, renter Structural type: -Single detached house -Apartment with 5 or more stories -Other attached dwelling -Semi-detached house -Row house -Apartment or flat in a duplex -Apartment, building with fewer than 5 stories -Other single attached house -Movable dwelling Age of Household Maintainer: Begins at 15 and continues in 9 year intervals until 75 and over. Condominium Status: Condominium, not a condominium Household Type: -Census-family households -With children -Without children -Multiple census-family households -Non-census family household Household Size: One person up to 5 or more persons Original file names: EO2969 - Table 1 (Part 1) Cost income household _Toronto and Vancouver 2016.ivt EO2969 - Table 2 Tenure and dwelling_Toronto and Vancouver 2016.ivt

The median total income of all families in Ontario increased by 2,370 dollars (+2.38 percent) since the previous year. Therefore, the median total income of all families in Ontario reached a peak in 2022 with 101,920 dollars. Find more key insights for the median total income of all families in countries and regions like number of families receiving employment insurance benefits (Canada), median employment insurance benefits received by persons not in census families (Canada), and median total income of all families (New Brunswick).

A version of the layer at https://edu.maps.arcgis.com/home/item.html?id=fb599a53973843358d126e1404fe53ba, subsetted to an area in downtown Toronto and with enrichment variables added (see below).---Statistics Canada (StatCan) and Canada Mortgage and Housing Corporation (CMHC) have collaborated on the implementation of a set of proximity measures to services and amenities. The database contains 10 measures of proximity and a composite indicator that combines some of the proximity measures.All measures are at the dissemination block level (a block in urban areas or an area bounded by roads in rural areas), which provides the highest level of geographic resolution currently possible. Proximity measures are based on a simple gravity model that accounts for the distance between a reference dissemination block (DB) and all the DBs in which the service is located (within a given distance) and the size of the services. The measure accounts also for the presence of services within the DB of reference.In this dataset, the Proximity Measures Database has been joined to the 2016 dissemination-block polygons from Statistics Canada. A subset of the data was made for eight major cities, and the data were aggregated to the dissemination-area level to allow for the use of the ArcGIS Online enrichment tool. For all blocks in each dissemination area, the presence/absence (1 or 0) fields were aggregated using the maximum value. The proximity-index fields and "amenity dense" field were aggregated using a weighted average, using the area of each block as the weight.Next, the Enrich Data tool in ArcGIS Online was used to add two enrichment variables to the dataset: 2020 population and 2020 household median income (current-year dollars). These were created for a subset of the layer focusing on downtown Toronto.---Adapted from Statistics Canada, Proximity Measures Database, 2020, and Boundary Files, 2016 Census, Statistics Canada Catalogue no. 92-160-X. This does not constitute an endorsement by Statistics Canada of this product.

Annual adjusted household disposable income including social transfers in kind.

The annual operating revenue of the Toronto public transportation operator (TTC) fluctuated between 2015 to 2019, peaking at almost *** billion Canadian dollars in 2019. In 2020, amid the COVID-19 pandemic, the total operating revenue of the public transport company in the Canadian city dropped by ** percent compared with 2019 levels and stood at ***** million Canadian dollars. In 2022, revenue rose but remained at a relatively low level of *** millio Canadian dollars.

The average mortgage payment in the large and mid-sized cities in Canada ranged between 1,300 Canadian dollars and 2,600 Canadian dollars. In the fourth quarter of the year, Vancouver topped the ranking, with homebuyers paying, on average, ***** Canadian dollars monthly. In Toronto, the average monthly scheduled mortgage payment was ***** Canadian dollars. Canada’s housing market House prices in Canada vary widely across the country. In 2023, the average sales price of detached single-family homes in Vancouver was nearly three times as expensive as the national average. Vancouver is undoubtedly considered the least affordable housing market: In 2023, the cost of buying a home with a **-year mortgage in Canada was approximately ** percent of the median household income, whereas in Vancouver, it was nearly *** percent. Development of house prices The development of house prices depends on multiple factors, such as availability on the market and demand. Since 2005, house prices in Canada have been continuously growing. According to the MSL composite house price index, 2021 measured the highest house price increase.

The house price for Ontario is forecast to increase slightly in 2025, after declining by *** percent in 2023. From roughly ******* Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to rise to ******* Canadian dollars in 2025. After British Columbia, Ontario is Canada's most expensive province for housing. Ontario Ontario is the most populated province in Canada, located on the eastern-central side of the country. It is an English speaking province. To the south, it borders American states Minnesota, Michigan, Ohio, Pennsylvania, and New York. Its provincial capital and largest city is Toronto. It is also home to Canada’s national capital, Ottawa. Furthermore, a large part of Ontario’s economy comes from manufacturing, as it is the leading manufacturing province in Canada. The population of Ontario has been steadily increasing since 2000. The population in 2023 was an estimated **** million people. The median total family income in 2022 came to ******* Canadian dollars. Ontario housing market The number of housing units sold in Ontario is projected to rise until 2025. Additionally, the average home prices in Ontario have significantly increased since 2007.