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.

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

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 total income in constant 2020 dollars by age and gender.

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

Income statistics by economic family type and income source, 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).

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Little Canada. 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 Little Canada. 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, in Little Canada, householders within the 45 to 64 years age group have the highest median household income at $90,843, followed by those in the 25 to 44 years age group with an income of $75,693. Meanwhile householders within the under 25 years age group report the second lowest median household income of $61,250. Notably, householders within the 65 years and over age group, had the lowest median household income at $52,125.

Content

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:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Little Canada median household income by age. You can refer the same here

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Canadian, OK, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Canadian, OK reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Canadian households based on income levels.

Key observations

• For Family Households: In Canadian, the majority of family households, representing NA%, earn NA, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising NA%, have incomes falling NA, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Canadian, the majority of non-family households, accounting for NA%, have income NA, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising NA%, earn NA, representing a smaller, yet notable, portion of non-family households in the community.

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:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Canadian, OK (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Canadian, OK
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Canadian, OK
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Canadian, OK

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

Distribution of household total income in constant 2020 dollars by household type (couple family, one-parent family, non-census family households) and characteristics of household members (number of earners and number of people in different age groups).

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.

This table contains 67200 series, with data for years 1976 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Sex (3 items: Both sexes; Males; Females); Age group (8 items: All age groups; Under 20 years; 20 to 24 years; 25 to 34 years; ...); Income recipient (4 items: Number of recipients; Aggregate income of recipients; Average income of recipients; Median income of recipients); Income source (20 items: Total income; Market income; Earnings; Wages, salaries and commissions; ...).

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 tabulates the Canadian household income by age. The dataset can be utilized to understand the age-based income 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 annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Canadian, TX household incomes: Comparative analysis across 16 income brackets

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 income distribution by age. 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, OK, 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 16,195, while the mean income for the highest quintile (20% of households with the highest income) is 101,154. This indicates that the top earners earn 6 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 138,654, which is 137.07% higher compared to the highest quintile, and 856.15% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/canadian-ok-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Canadian, OK (in 2022 inflation-adjusted dollars))">

Content

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

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in New Canada town: 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

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 5(4.10%) households where the householder is under 25 years old, 21(17.21%) households with a householder aged between 25 and 44 years, 50(40.98%) households with a householder aged between 45 and 64 years, and 46(37.70%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of New Canada town, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 New Canada town median household income by age. 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 New Canada town. The dataset can be utilized to gain insights into gender-based income distribution within the New Canada town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within New Canada town, among individuals aged 15 years and older with income, there were 152 men and 118 women in the workforce. Among them, 76 men were engaged in full-time, year-round employment, while 41 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 4.88% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 13.16% of men in full-time roles earned incomes exceeding $100,000, while 7.32% 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 New Canada town median household income by race. You can refer the same here

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.

Number of operators per farm by income classes in the year prior to the census and by sex from the Socioeconomic overview of the farm population.