About this dataset

Context

The dataset tabulates the Toronto population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Toronto across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Toronto was 101, a 0% decrease year-by-year from 2022. Previously, in 2022, Toronto population was 101, a decline of 0.98% compared to a population of 102 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Toronto decreased by 33. In this period, the peak population was 135 in the year 2004. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Toronto is shown in this column.
• Year on Year Change: This column displays the change in Toronto population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

This dataset tracks annual science proficiency from 2021 to 2022 for Toronto City School District vs. Ohio

The existing space size of big-box distribution buildings in Toronto, Canada from 2011 to 2021 varied over time. In 2021, the big-box building inventory amounted to *** million square feet in Toronto, Canada. During that same time, the total inventory size of big-box buildings in North America equaled approximately *** billion square feet.Big-box buildings refers to large industrial buildings used for distribution.

The number of big-box distribution centers in Toronto, Canada varied from 2009 to 2021. In 2021, the number of big-box distribution centers amounted to *** buildings in Toronto. Big-box buildings refers to large industrial buildings used for distribution. As of 2021, there were ***** big-box buildings in all of North America.

This dataset tracks annual average expenditure per student from 1995 to 2021 for Toronto City School District

About this dataset

Context

The dataset tabulates the Toronto population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Toronto. The dataset can be utilized to understand the population distribution of Toronto by age. For example, using this dataset, we can identify the largest age group in Toronto.

Key observations

The largest age group in Toronto, IA was for the group of age 65-69 years with a population of 16 (18.82%), according to the 2021 American Community Survey. At the same time, the smallest age group in Toronto, IA was the 0-4 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Toronto is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

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 86.36% of the total residents in Toronto. Notably, the median household income for White households is $61,140. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $61,140.

https://i.neilsberg.com/ch/toronto-sd-median-household-income-by-race.jpeg" alt="Toronto median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022-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

Business travel spending in Toronto, including domestic and international visitor spending, declined by roughly 68 percent in 2021 compared to 2019, the year prior to the coronavirus (COVID-19) pandemic. In 2021, the expenditure by business travelers in the Canadian city amounted to just under one billion U.S. dollars.

The Street Needs Assessment (SNA) is a survey and point-in-time count of people experiencing homelessness in Toronto conducted in April, 2021 led by the City’s Toronto Shelter and Support Services (TSSS) in collaboration with community partners in the homelessness sector. The results provide a snapshot of the scope and profile of people experiencing homelessness in Toronto and give people experiencing homelessness a voice in the services they need to find and keep housing. The 2021 SNA is the City's fifth count and survey of people experiencing homelessness in Toronto and was part of a coordinated point-in time count conducted by communities across Canada and Ontario. The 2021 results provide critical data needed to understand the impact of the pandemic on homelessness, and to understand broader service needs of people experiencing homelessness in Toronto. The results of the 2021 Street Needs Assessment were summarized in a report and key highlights slide deck the can be found here. The 2021 SNA involved a 34 core question survey completed by 2,629 individuals staying outdoors and in encampments, in City-administered shelters and shelter hotels (including COVID-19 response sites and the isolation/recovery site), 24-hour respite sites (including 24-hour women’s drop-ins and winter services in operation), as well as provincially-administered Violence Against Women shelters. The SNA does not include people who are experiencing hidden homelessness, such as people who are temporarily staying with others. Surveys in indoor shelter locations were conducted over a period of one week (April 19-23, 2021) and the outdoor survey was conducted on April 27, 2021. This dataset includes the SNA survey results; it does not include the count of people experiencing homelessness in Toronto. Information about the count can be found in the results report.

This data set contains one custom tabulation from Statistics Canada in both Beyond 20/20 IVT format and CSV format. The table title is: Ethnic or cultural origin (3), Single and multiple ethnic or cultural origin responses (3), Structural type of dwelling (9) and Tenure (3) for Persons in private households in occupied private dwellings of census tracts within Toronto Census metropolitan area, 2021 Census - 25% sample data.

Between 2001 and 2008, the number of emigrants from the city of Toronto, in the Canadian province of Ontario, rose sharply, from just over 9,000 in 2001 to over 17,000 seven years later, nearly doubling. After 2008, that number declined slightly, but then increased to reach a peak of 17,494 in 2016. Between 2016 and 2021, the number of emigrants has been on the decline in Toronto, but in 2021/2022, there were 12,625.

This dataset tracks annual total expenditure from 1990 to 2021 for Toronto City School District

This dataset contains spatial and temporal data on urban parks and their usage in Toronto, Canada. It was used to examine how anonymized mobility data from Mapbox can help identify and reduce inequality in the availability and use of green spaces. The dataset consists of four files:Toronto 2021 Census.shp: A shapefile that contains census data for the park catchments in Toronto, including variables such as housing density and car ownership.greenSpaceActivityWithWeather.csv: A spreadsheet that contains the daily Mapbox activity value for each park, as well as the average temperature and total precipitation from local weather stations.Simplified Large Parks.shp: A shapefile that contains the polygons of the target parks used in the study, which are larger than 10 hectares and have more than 1000 visits per year.Park amenities.csv: A spreadsheet that contains the amenities available in each park, such as sports fields, transportation options, gardens, and playgrounds.The dataset supports a manuscript published in People and Nature titled: “Using anonymized mobility data to reduce inequality in the availability and use of urban parks”. The manuscript presents the methods and results of the analysis, as well as the implications and recommendations for urban planning and policy.

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/

The statistic shows the hotel value per room at Toronto Airport from 2010 to 2021. In 2018, the estimated value per hotel room at Toronto Airport West was 181.92 thousand Canadian dollars.

The Toronto’s Police Service Annual Statistical Report is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, enforcement and other administrative information.This report is one of several components of the ASR open data release. More detailed information, a comprehensive guide to this report and the rest of the components of the ASR can be found here: data.torontopolice.on.ca/pages/annualstatisticalreport

This dataset includes a line-by-line breakdown of the 2021 Toronto Police Service budget and actual expenditures at a Service-wide level.Definitions:Approved Budget: Operating funding approved by the Toronto Police Services Board and City Council for a specific fiscal year.Actual Expenditures: Operating expenses incurred by the Toronto Police Service during a fiscal year.Proposed Budget: Operating funding presented to the Toronto Police Services Board for approval for a specific fiscal year.SAP: Enterprise resource planning software suite made by SAP SE. This is the system of record for financial information of the Toronto Police Service.For more information on the TPS Budget, please visit https://www.torontopolice.on.ca/budget/.Download Documentation

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Toronto. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Toronto, the median household income for the households where the householder is White increased by $9,399(31.26%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $30,065 in 2013 and $39,464 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Toronto, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are 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

Between August 30 2021 and November 29 2021, the average daily radio audience in the Toronto central market area was 5.86 million listeners. The daily audience has been at 5.77 million since the end of 2019, with the latest figure representing an increase.

Between 2001/2002 and 2007/2008, the number of births in Toronto, in the Canadian province of Ontario, increased at a relatively steady rate for both sexes. Since then, this number has fluctuated, but overall decreased, especially between 2019 and 2021. In 2019/2020, ****** males and ****** females were born, and the following year there were only ****** male births and ****** female births.