About this dataset

Context

The dataset tabulates the Toronto population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Toronto.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Toronto, IA Population Breakdown by Race
• Toronto, IA Non-Hispanic Population Breakdown by Race
• Toronto, IA Hispanic or Latino Population Distribution by Their Ancestries

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/.

About this dataset

Context

The dataset tabulates the population of Toronto by race. It includes the population of Toronto across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Toronto across relevant racial categories.

Key observations

The percent distribution of Toronto population by race (across all racial categories recognized by the U.S. Census Bureau): 77.94% are white and 22.06% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Toronto
• Population: The population of the racial category (excluding ethnicity) in the Toronto is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Toronto total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

In 2022, more than half of the population (about 57 percent) of the city of Toronto, in the province of Ontario, Canada, was between the ages of 20 and 60 years old. The largest age group was 25-34, with over one million individuals. In 2022, Toronto was the largest metropolitan area in Canada in terms of population, ahead of Montreal, Quebec, and Vancouver, British Columbia.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Toronto by race. It includes the distribution of the Non-Hispanic population of Toronto across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Toronto across relevant racial categories.

Key observations

Of the Non-Hispanic population in Toronto, the largest racial group is White alone with a population of 5,125 (95.08% of the total Non-Hispanic population).

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: This column displays the racial categories (for Non-Hispanic) for the Toronto
• Population: The population of the racial category (for Non-Hispanic) in the Toronto is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Toronto total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same 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 48.8 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 26.4 percent in 2023.

Chart and table of population level and growth rate for the Toronto, Canada metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

White, not Hispanic Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Toronto, Ohio by age, education, race, gender, work experience and more.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

Black or African American Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in Toronto, Ohio by age, education, race, gender, work experience and more.

65 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Toronto, Ohio by age, education, race, gender, work experience and more.

Presents socio-demographic information of York Region’s population and is aggregated from Statistics Canada’s Census data. For reference purposes, York Region data is compared to those of Ontario, Canada, the Greater Toronto Area and York Region local municipalities.

The RBDC Metadata contains information related to the fields in each of the datasets. It includes a unique identifier for each field, field name and plain English descriptions. Additional metadata is also provided in the portal’s ArcGIS Online description (where the RBDC data is hosted) including Open Data License and terms of use. Fields in each dataset may vary, therefore the metadata is provided per table in a downloadable Excel Spreadsheet. Each tab on this document corresponds to the RBDC open dataset table unique identifier.

This dataset includes information related to all arrests and strip searches. A strip search refers to a search conducted by a police officer on a person, which includes the removal of some or all clothing and a visual inspection of the body. The dataset also includes indicators of whether a person was booked at a police station within 24 hours following a particular arrest event. Due to issues with the booking template, there may be some records where a person was strip searched, but the data does not indicate a booking (i.e., value = 0); in those cases, the user should presume a booking took place. The location of arrest is aggregated to the Division level and refers to where the arrest took place within Division boundaries. Users should not interpret location as the Division to which the arresting officer was assigned. For some arrests, the location could not be geo-coded or the arrest took place outside of City of Toronto boundaries in other jurisdictions; these are indicated by XX. The age of person arrested and/or strip searched is their age at the time of the arrest, as given to the arresting officer.

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

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

Some college, associate's degree Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Toronto, Ohio by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the population of Toronto by race. It includes the population of Toronto across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Toronto across relevant racial categories.

Key observations

The percent distribution of Toronto population by race (across all racial categories recognized by the U.S. Census Bureau): 84% are white, 2% are American Indian and Alaska Native and 14% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Toronto
• Population: The population of the racial category (excluding ethnicity) in the Toronto is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Toronto total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

Contemporary cities are frequently characterized as divided by race and socio-economic status, yet the political effects of segregation and stratification are rarely fully explored. Urban politics scholars have disagreed on whether urban politics is essentially consensual, conflicts are issue-based and transitory, or social and economic divides generate enduring political cleavages. We contribute to this debate with an analysis of elite conflict as manifested in recorded city council votes in two large, heterogeneous North American cities, Chicago and Toronto, over a multi-decade period. The analysis employs a new technique for analyzing the dimensionality of roll-call votes. We find evidence of durable coordination among ward councilors in both cities, however the substance of conflict differs. Correlating the dimensions of voting behavior with ward characteristics indicates that Chicago’s aldermen divide on racial lines, while Toronto’s councilors primarily divide on the place characteristics of wards, and secondarily on socio-economic status and ethnicity.

Related children of householder under 18 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Toronto, Ohio by age, education, race, gender, work experience and more.

This table provides information about the types of calls for service which resulted in an enforcement action and/or reported use of force. Calls for Service types helps us to understand the nature of the 911 call to which officers were dispatched. These include: administrative, arrest, domestic/assaults, in progress/just occurred, person in crisis calls for service, proactive, vehicle related, violent call for service, and priority 2, 4, or 6 calls for service. It also gives the perceived race of people involved in those incidents.