This statistic shows the total median income of senior citizens in Canada from 2000 to 2020, distinguished by age group. In 2020, the total median income of Canadian senior citizens aged 65 years and over amounted to 32,020 Canadian dollars.

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Canadian County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Canadian County, the median income for all workers aged 15 years and older, regardless of work hours, was $55,603 for males and $35,721 for females.

These income figures highlight a substantial gender-based income gap in Canadian County. Women, regardless of work hours, earn 64 cents for each dollar earned by men. This significant gender pay gap, approximately 36%, underscores concerning gender-based income inequality in the county of Canadian County.

- Full-time workers, aged 15 years and older: In Canadian County, among full-time, year-round workers aged 15 years and older, males earned a median income of $68,682, while females earned $50,258, leading to a 27% gender pay gap among full-time workers. This illustrates that women earn 73 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Canadian County.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 County median household income by race. You can refer the same here

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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Canada town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Canada town, the median income for all workers aged 15 years and older, regardless of work hours, was $52,250 for males and $27,500 for females.

These income figures highlight a substantial gender-based income gap in New Canada town. Women, regardless of work hours, earn 53 cents for each dollar earned by men. This significant gender pay gap, approximately 47%, underscores concerning gender-based income inequality in the town of New Canada town.

- Full-time workers, aged 15 years and older: In New Canada town, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,125, while females earned $51,375, leading to a 19% gender pay gap among full-time workers. This illustrates that women earn 81 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in New Canada town.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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

Individuals; Tax filers and dependants by total income, sex and age groups (final T1 Family File; T1FF).

If you’re a senior with low income, you may qualify for monthly Guaranteed Annual Income System payments.

Maximum payment and allowable private income amounts for the period from July 1, 2025 to June 30, 2026 are:

• $90 monthly for single seniors (maximum monthly payment amount), your annual private income must be less than $4,320
• $180 monthly for senior couples (maximum monthly payment amount), your annual private income must be less than $8,640

The data is organized by private income levels. GAINS payments are provided on top of the Old Age Security (OAS) pension and the Guaranteed Income Supplement (GIS) payments you may receive from the federal government.

Learn more about the Ontario Guaranteed Annual Income System

This data is related to The Retirement Income System in Canada

Join the Ontario Ministry of Finance for a free webinar to help you learn about tax credits, benefits, and other programs available to support Ontario seniors with a low income. Visit ontario.ca/TaxTalk to learn more.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Canadian. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Canadian, for all workers aged 15 years and older, irrespective of full-time or part-time work, the median income was $28,750 for both males and females.

This indicates income parity between genders in Canadian, where women and men, regardless of their work hours, earn an equal dollar amount for their efforts, reflecting a balanced income distribution across both sexes.

- Full-time workers, aged 15 years and older: In Canadian, among full-time, year-round workers aged 15 years and older, males earned a median income of $43,125, while females earned $40,250, resulting in a 7% gender pay gap among full-time workers. This illustrates that women earn 93 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Canadian.

Surprisingly, across all roles (including non-full-time employment), women had a higher median income compared to men in Canadian. This might indicate a more favorable income scenario for female workers across different employment patterns within the town of Canadian, especially in non-full-time positions.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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

Family characteristics of seniors by total income statistics for Canada, provinces and territories, census metropolitan areas and census agglomerations. Includes age of seniors, housing indicators, tenure including presence of mortgage payments and subsidized housing, and structural type of dwelling.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Little Canada. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Little Canada, the median income for all workers aged 15 years and older, regardless of work hours, was $49,764 for males and $40,129 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 19% between the median incomes of males and females in Little Canada. With women, regardless of work hours, earning 81 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Little Canada.

- Full-time workers, aged 15 years and older: In Little Canada, among full-time, year-round workers aged 15 years and older, males earned a median income of $69,643, while females earned $59,934, resulting in a 14% gender pay gap among full-time workers. This illustrates that women earn 86 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Little Canada.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Little Canada.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 race. You can refer the same here

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.

The median total income in Canada increased by 1,440 dollars (+3.46 percent) in 2022. With 43,090 dollars, the median total income thereby reached its highest value in the observed period.

This dataset provides information on Benefits Amounts for Income Supplement and the Allowances according to income level and marital status. This is updated on a quarterly basis. The following tables of amounts will provide you with the amount of your monthly benefit, which will be based on your age, income level and marital status. The dataset is updated for October - December 2025 quarter.

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; ...).

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

This statistic depicts the number of wage, salary, and commission workers in Canada from 2000 to 2023, distinguished by gender. In 2023, there were about 9.89 million female wage, salary, and commission workers aged 16 years or older in Canada, compared to 10.48 million male earners.

The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. This reference year for this file is 1982. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).

Average earnings, by age group and highest level of education, from the 2016 Census of Population.

After employment income (earnings), government transfer payments make up the next largest component of total income for individuals. Government transfer payments, such as old-age pensions, employment insurance benefits, child tax benefits and Goods and Services Tax credits, contributed 10 cents of every dollar (on average) to family income. Family income is the combined income of all family members from all sources before income taxes are deducted.

Sources of income by census family type (x 1,000) c (1, 2, 3, 4, 5)Frequency: AnnualTable: 11-10-0014-01 (formerly CANSIM 111-0014)Release date: 2024-06-27Geography: Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partSymbol legend: .. not available for a specific reference periodTable Corrections: Note On August 11, 2021, a correction was made to the values associated with the total income and the other income concepts for 2019.Footnotes: 1 The data source for this table is the final version of the T1 Family File, created by the Centre for Income and Socio-Economic Well-being Statistics of Statistics Canada. Because they are based on a different methodology, estimates of the number of individuals and census families presented in this table differ from estimates produced by the Centre for Demography. Information on the data source, the historical availability, definitions of the terms used, and the geographies available can be found at Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 2 Families are comprised of: 1) couples (married or common-law, including same-sex couples) living in the same dwelling with or without children, and 2) single parents (male or female) living with one or more children. Persons who are not matched to a family become persons not in census families. They may be living alone, with a family to whom they are related, with a family to whom they are unrelated or with other persons not in census families. Beginning in 2001, same-sex couples reporting as couples are counted as couple families. 3 A couple family consists of a couple living together (married or common-law, including same-sex couples) living at the same address with or without children. Beginning in 2001, same-sex couples reporting as couples are counted as couple families. 4 A lone-parent family is a family with only one parent, male or female, and with at least one child. 5 A person not in census families is an individual who is not part of a census family, couple family or lone-parent family. Persons not in census families may live with their married children or with their children who have children of their own. They may be living with a family to whom they are related or unrelated. They may also be living alone or with other non-family persons. 6 The Census Standard Geographical Classification (SGC) is used for data dissemination of the census metropolitan areas and the census agglomerations: from 1997 to 2001, SGC 1996; from 2002 to 2006, SGC 2001; from 2007 to 2011, SGC 2006; from 2012 to 2016, SGC 2011; from 2016 to 2020, SGC 2016; as of 2021, SGC 2021. Please note that census agglomerations were introduced in this CANSIM table in 2008. 7 Family income is the sum of the incomes of all members of the family. As of 2020, COVID-19 - Government income support and benefits are included in income estimates. A detailed definition of what is included in total income is available from the Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 8 As of 2020, COVID benefits are included in income estimates. For more information, consult the Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 9 Total income is income from all sources. As of 2020, COVID-19 - Government income support and benefits are included in income estimates. A detailed definition of what is included in total income is available from the Technical Reference Guide for the Preliminary Estimates from the T1 Family File (T1FF) - opens in a new browser window." 10 Employment income includes wages and salaries, commissions from employment, training allowances, tips and gratuities, and net self-employment income (business, professional, commission, farming and fishing income). 11 This includes dividend income reported on line 12000 of the tax return and/or interest and other investment income reported on line 12100. Dividend income consists of dividends from taxable Canadian corporations (as stocks or mutual funds). Interest and other investment income includes interest from Canada Savings bonds, bank accounts, treasury bills, investment certificates, term deposits, earnings on life insurance policies, and foreign interest and dividend income. 12 Government transfer payments are payments to individuals by the federal or provincial governments. They include: Employment Insurance (EI) benefits, Goods and Services Tax Credit (GST) and Harmonized Tax Credit (HST), Federal Child Benefits, Old Age Security (OAS) and Net Federal Supplements, Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) benefits, Workers' Compensation Benefits, Social Assistance Benefits, Provincial Refundable Tax Credits and Family Benefits, and Other Government Transfers. Definitions of the transfer payments are available from the Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 13 The Old Age Security (OAS) pension is part of the OAS program, a federal government program that guarantees a degree of financial security to seniors. All persons in Canada aged 65 years and over, who are Canadian citizens or legal residents, may qualify for a full OAS pension, depending on their years of residence in Canada after reaching the age of 18. OAS benefits include all benefits reported for the reference year, excluding Guaranteed Income Supplements (GIS) and Spousal Allowance benefits (SPA). Starting with 1994 data, OAS income of non-filing spouses was estimated and included in the tables. 14 The net federal supplements are part of the Old Age Security (OAS) pension program, intended to supplement the income of pensioners and spouses with lower income. Payments take the form of a Guaranteed Income Supplement (GIS) or a Spouse's Allowance (SPA). 15 The Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) benefits are compulsory contributory social insurance plans that protect workers and their families against loss of income due to retirement, disability or death. CPP and QPP benefits include all benefits reported for the reference year. 16 In 2020, COVID benefits are included in income estimates. For more information, consult the Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 17 In 2021, COVID benefits are included in income estimates. For more information, consult the Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 18 As of 2018, changes in how some provincial refundable tax credits aimed at seniors are tabulated could affect statistics for provincial refundable tax credits in New Brunswick, Ontario, Manitoba, Saskatchewan, and Alberta. These changes also apply to British Columbia as of 2021. For more details consult the glossary section of the Technical Reference Guide for the Annual Income Estimates for Census Families Individuals and Seniors - opens in a new browser window." 19 Other government transfers includes the Working Income Tax Benefit from 2010 to 2018, the Children’s Fitness Tax Credit for 2015 and 2016, the Eligible Educator School Supply Tax Credit as of 2016, the Refundable Medical Expense Supplement as of 2018, the Climate Action Incentive (for select provinces) as of 2018, Canada Workers Benefit (which replaced the Working Income Tax Benefit) as of 2019, Canada training credit as of 2020, Canadian journalism labour tax credit as of 2020, COVID benefits as of 2020 and other refundable credits as of 2021. 20 Private pensions include pension benefits other than Old Age Security (OAS), Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) benefits. 21 RRSP income is money withdrawn from a Registered Retirement Savings Plan (RRSP), either as a lump sum or as a periodic payment. Only RRSP income of persons aged 65 years or older is included. 22 Other income includes taxable income not reported elsewhere, such as net rental income, support payments, retiring allowances and scholarships.