Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Toronto. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Toronto. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, Toronto only reports a median household income of $54,559 among householders in the 25 to 44 years age group.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Toronto median household income by age. You can refer the same here
Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Toronto: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Toronto median household income by age. You can refer the same here
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.
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).
Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
This table contains 692 series, with data for years 1996 - 1996 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (173 items: Canada; Newfoundland and Labrador; Health and Community Services St. John's Region, Newfoundland and Labrador; Health and Community Services Eastern Region, Newfoundland and Labrador; ...); Characteristics (4 items: Average personal income; Standard error - average personal income; Low 95% confidence interval - average personal income; High 95% confidence interval - average personal income).
Families of tax filers; Distribution of total income by census family type and age of older partner, parent or individual (final T1 Family File; T1FF).
The median total income in Canada increased by 1,440 dollars (+3.46 percent) in 2022. With 43,090 dollars, the median total income thereby reached its highest value in the observed period.
This statistic depicts the median annual family income in Canada in 2021, distinguished by province. In 2021, the median annual family income in Alberta was 106,960 Canadian dollars.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Toronto. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Toronto. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2021
In terms of income distribution across age cohorts, in Toronto, householders within the 25 to 44 years age group have the highest median household income at $60,914, followed by those in the 45 to 64 years age group with an income of $49,043. Meanwhile householders within the under 25 years age group report the second lowest median household income of $40,042. Notably, householders within the 65 years and over age group, had the lowest median household income at $39,352.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Toronto median household income by age. You can refer the same here
Prospective homebuyers in Vancouver, British Columbia, and Toronto, Ontario, needed an annual income of over 200,000 Canadian dollars in 2023 to qualify for the average priced home. In Vancouver, this figure was approximately 237,000 Canadian dollars. British Columbia and Ontario, are Canada's most expensive provinces for housing. According to a January 2023 forecast by the Canadian Real Estate Association (CREA), the housing market is expected to cool down in the next two years, which is likely to improve home affordability.
Annual adjusted household disposable income including social transfers in kind.
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). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2023), as measured by the Toronto Regional Real Estate Board (TRREB). All values are rounded to the nearest dollar.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents median household incomes for various household sizes in Toronto, OH, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Household Sizes:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Toronto median household income. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This map shows female median income for the female population 15 years of age and over reporting income in 1995 (not including institutional residents). The distribution of incomes above the national female median of $14 508 were most prominent in Vancouver, Calgary, Toronto, Ottawa-Hull, Montréal, and Quebec. Based on the 1996 Census, the number of women reporting income has steadily increased over the years. In 1995, women represented nearly half of all income recipients, compared with 17% in 1990. However, women still represented the majority of workers in the 25 lowest paying occupations. Women had on average increased their purchasing power by 5% between 1980 and 1985, with an additional 12% gain over men between 1985 and 1990.
The City of Toronto monitors the affordability of food annually using the Nutritious Food Basket (NFB) costing tool. Food prices increased considerably in 2022. People with low incomes do not have enough money to cover the cost of basic expenses, including food. As such, NFB data is best viewed in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for nine 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 - shelter, food, childcare, and transportation - are estimated for each scenario. Results show the 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 rent: In this file, rental costs are based on average rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + market rent: Rental costs are based on average market rent (as of June 2022), as measured by the Toronto Regional Real Estate Board (TRREB). Limitations Scenarios describe estimated values only, rounded to the nearest dollar. Income is estimated using a May/June 2022 reference period to align with Nutritious Food Basket data collection. Thus, tax year 2020 has been utilized in calculations. Income amounts include all entitlements available to Ontario residents; therefore, they are maximum amounts. Actual income amounts may be lower if residents do not file their income tax and/or do not apply for all available tax credits.
Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Toronto. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Toronto. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, Toronto only reports a median household income of $54,559 among householders in the 25 to 44 years age group.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Toronto median household income by age. You can refer the same here