About this dataset

Context

The dataset presents the median household income across different racial categories in Toronto. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Toronto population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 77.94% of the total residents in Toronto. Notably, the median household income for White households is $56,250. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $56,250.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Toronto.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Toronto median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Toronto. The dataset can be utilized to gain insights into gender-based income distribution within the Toronto population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Toronto, among individuals aged 15 years and older with income, there were 95 men and 100 women in the workforce. Among them, 18 men were engaged in full-time, year-round employment, while 53 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.56% fell within the income range of under $24,999, while 43.40% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: none of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Toronto median household income by race. You can refer the same here

This dataset tracks annual diversity score from 1991 to 2023 for Toronto Elementary School vs. Ohio and Toronto City School District

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For Reference Period 2008: Martin Prosperity Institute, Year 2010 data. The Cultural Location Index (CLI) is an economic indicator that shows the intersection of where people who work in culture occupations live and work, and cultural facilities. This indicator was developed to provide a quantifiable city-wide view of the geographic concentration of Toronto's cultural sector. This indicator is positively influenced in part by the physical presence of cultural facilities, and the concentration of the people who live and work in the cultural sector. The indicator does not capture culture as a set of community values or beliefs. As such a community could have a very active cultural life, and be lower on the Cultural Location Index. The Cultural Location Index (CLI) was produced by the Martin Prosperity Institute for the City of Toronto in 2010. For Reference Period 2011: Data not yet available. For Reference Period 2008: Data not available. For Reference Period 2011: Statistics Canada, 2011 Census, language tables; calculations performed by City of Toronto, Social Policy Analysis & Research (contact spar@toronto.ca). The Linguistic Diversity Index (LDI) is the probability that any two people selected at random would have different mother tongues. Calculated using Greenberg's Linguistic Diversity Index. Lower values mean less diversity, higher values mean more diversity. The Linguistic Diversity Index (LDI) was developed by the City of Toronto, Social Policy Analysis & Research, based on Census 2011 data.

This data is a small collection of plant/tree diversity collected in Grandravine Park, Toronto, Canada and Bratty Park, Toronto, Canada. It shows a sample of species found in both parks and in two areas of both the parks: the forest and field. There is also a collection of invasive species here.

Between 2019 and 2023, the proportion of racial minorities in the Canadian workforce of Toronto-Dominion Bank (TD Bank) grew, with increases across the total workforce, senior management, and middle management. As of October 2023, visible minorities represented **** percent of the total workforce, marking an increase of more than six percentage points from the previous year. The share of minorities in senior management also rose, reaching **** percent in 2023.

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This dataset tracks annual diversity score from 2021 to 2023 for Karaffa Elementary School vs. Ohio and Toronto City School District

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This dataset contains Civics and Equity indicators which include information about the diversity index, City grants funding, Salvation Army donors, City Beautification, water main breaks, voter turnout, walk score and neighbourhood equity score. A full description for each column of data provided in worksheets 2 and 3 is available in the 1st worksheet.

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