This statistic shows the income distribution of Canadians for 2020, distinguished by level of income. In 2020, about 302,050 Canadians had an income of 250,000 Canadian dollars or more.

In 2023, 25.5 percent of the Canadian population had an annual income of 100,000 Canadian dollars or more. Moreover, some 19 percent had an annual income between 60,000 and 79,999 Canadian dollars, representing the second-largest group.

Distribution of employment income of individuals by sex and work activity, Canada, provinces and selected census metropolitan areas, annual.

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

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).

Household income, consumption and saving and their subcomponents, distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, provinces and territories, 2020 quarter one to current quarter.

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 Canadian. The dataset can be utilized to gain insights into gender-based income distribution within the Canadian population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Canadian, among individuals aged 15 years and older with income, there were 70 men and 57 women in the workforce. Among them, 29 men were engaged in full-time, year-round employment, while 27 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 17.24% fell within the income range of under $24,999, while 11.11% 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 7.41% 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 Canadian median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Canadian, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 22,054, while the mean income for the highest quintile (20% of households with the highest income) is 155,532. This indicates that the top earners earn 7 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 212,474, which is 136.61% higher compared to the highest quintile, and 963.43% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Canadian median household income. You can refer the same here

This statistic depicts the median annual family income in Canada from 2000 to 2023. In 2023, the median annual family income in Canada was 105,370 Canadian dollars.

Statistics on income inequality based on the Gini index and the p90/p10 ratio on various household income concepts (market income, total income, after-tax income) for Canada, provinces and territories, census divisions and census subdivisions.

Distribution of market, total and after-tax income of individuals, Canada, provinces and selected census metropolitan areas, annual.

Number of persons in low income, low income rate and average gap ratio by age, sex and economic family type, annual.

In 2021, Canadians in the lowest decile had an average after-tax income of ****** Canadian dollars, while those in the highest decile had an income of ******* dollars, a gap of over ******* dollars. The province with the smallest average income for the lowest decile was Saskatchewan. By contrast, it was in Alberta that the income of the highest decile was the greatest, with an average after-tax income of almost ******* Canadian dollars. It was also in this province that the gap between the two deciles was the most significant.

About this dataset

Context

The dataset tabulates the Canadian median household income by race. The dataset can be utilized to understand the racial distribution of Canadian income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Canadian, TX median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Canadian, TX (2021, 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Canadian median household income by race. You can refer the same here

The main source of income for people aged over 65 in Canada in 2020 was private pensions. Indeed, the income of seniors from these pensions reached almost 30 percent of the total income. The second largest source of income was old age security (OAS) and net federal supplements, representing 19.19 percent of total income. By 2022, there were more than seven million people over the age of 65 in Canada.

This table contains 8840 series, with data for years 2012 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Low income lines (4 items: Low income cut-offs after tax, 1992 base; Low income cut-offs before tax, 1992 base; Market basket measure, 2011 base; Low income measure after tax); Statistics (5 items: Number of persons in low income; Percentage of persons in low income; Average gap ratio (percent); Median gap ratio (percent); ...); Persons in low income (34 items: All persons; Persons under 18 years; Persons 18 to 64 years; Persons 65 years and over; ...).

This statistic shows the share of total after-tax income earned by the highest and lowest income deciles in Canada from 1990 to 2021. In 2021, the top ten percent of income earners earned 27.1 percent of all income in Canada.

The 'Canada Per Capita Income' dataset offers a comprehensive collection of data showcasing the average income per person in Canada across numerous years. Its primary objective is to furnish valuable insights into the economic well-being and financial advancement of the Canadian populace. It serves as an invaluable resource for economists, researchers, policymakers, and analysts, facilitating the examination of income distribution trends, evaluation of the effects of economic policies, and the identification of wealth disparities.

The dataset draws its information from dependable and authoritative sources, primarily the official statistical agencies of the Canadian government, notably Statistics Canada. These agencies routinely gather and disseminate data on various economic indicators, including per capita income, through a variety of means such as surveys, censuses, and economic reports.

The motivation behind the creation of this dataset stems from the critical importance of per capita income as a fundamental metric for assessing a nation's standard of living and economic progress. By presenting historical data, this dataset empowers users to monitor Canada's economic journey, discern patterns of growth or decline, and delve into the factors influencing shifts in individual income levels. A thorough understanding of this dataset is crucial in shaping evidence-based policies that promote fair economic opportunities and overall prosperity for all members of the Canadian population.

About this dataset

Context

The dataset tabulates the median household income in Canadian. It can be utilized to understand the trend in median household income and to analyze the income distribution in Canadian by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Canadian, TX Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Canadian, TX: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Canadian, TX
• Canadian, TX households by income brackets: family, non-family, and total, 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Canadian median household income. You can refer the same here

The CIS (Canadian Income Survey) Dataset contains detailed demographic, economic, and employment-related data of individuals across different provinces in Canada. The dataset is designed to assess key factors affecting income levels, employment history, and financial well-being at an individual level.

🔹 Dataset Overview

Total Variables: 36 (Covering demographic, employment, and financial attributes) Purpose: Used for analyzing income distribution, labor market trends, and economic well-being in Canada. Data Type: A mix of categorical, numerical, and binary data (e.g., Age, Gender, Income, Employment Status). Key Topics Covered: Demographics: Age, Gender, Marital Status, Immigrant Status Education & Employment: Highest Education, Years Worked, Weeks Employed Financial Data: Income after tax, Capital Gains, Pension, Investments Social Benefits: Childcare Benefits, Employment Insurance, Government Assistance

🔹 Significance of the Dataset ✔ Helps policymakers understand income inequality and poverty levels. ✔ Used for research on employment patterns and financial security. ✔ Supports decision-making on government subsidies and social welfare programs.