About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Vancouver. 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 Vancouver. 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 Vancouver, householders within the 45 to 64 years age group have the highest median household income at $92,898, followed by those in the 25 to 44 years age group with an income of $84,956. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $62,640. Notably, householders within the under 25 years age group, had the lowest median household income at $55,866.

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

This statistic shows the median age of the resident population of Canada, distinguished by province in 2023. In 2023, the median age of the Canadian population stood at 40.6 years.

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 the the household distribution across 16 income brackets among four distinct age groups in Vancouver: 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 4,213(5.28%) households where the householder is under 25 years old, 28,047(35.17%) households with a householder aged between 25 and 44 years, 27,089(33.97%) households with a householder aged between 45 and 64 years, and 20,398(25.58%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Vancouver, 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) 2019-2023 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 Vancouver median household income by age. You can refer the same here

Mean age and median age at divorce and at marriage, for persons who divorced in a given year, by sex or gender and place of occurrence, 1970 to most recent year.

This map shows male median income for the male population 15 years of age and over reporting income in 1995 (not including institutional residents). The distribution of incomes above the national male median of $25 270 were most prominent in the urban centres including Victoria, Vancouver, Calgary, Edmonton, Toronto, Ottawa-Hull, Montréal. However, a number of rural and northern census divisions had incomes above the male national median. These included Prince George in the Fraser Fort-George Regional District and the Peace River Regional District of British Columbia. These high incomes were partially attributed to the higher wages as a result of employment incentives such as living and wage supplements to compensate for the higher costs of living.

Mean age of mother at time of delivery, 1991 to most recent year.

The median total income of all families in British Columbia increased by 1,910 dollars (+1.92 percent) in 2022. While the growth is slowing down, with 101,520 dollars, the median total income of all families is at its peak in the observed period. Find more key insights for the median total income of all families in countries and regions like median employment income of persons not in census families (Canada), number of persons not in census families receiving employment insurance benefits (Canada), and median total income of all families (Ontario).

This map shows median income of individuals, for the population 15 years of age and over reporting income in 1995 (not including institutional residents). The highest median incomes were observed in the urban areas of Vancouver, Calgary, Toronto, Ottawa-Hull, Montreal, and Quebec. According to the 1996 Census, close to 21 million individuals reported income for 1995. The total income from all sources reflected a 6% decrease when compared to 1990. The national median income for Canada was $18 891. Incomes of individuals and families living in rural Canada tended to be lower than for urban areas. Differences in income distributions were also significant within major urban areas. Nearly 80% of the total population lived in census metropolitan areas.

Life expectancy at birth and at age 65, by sex, on a three-year average basis.

This dataset includes one table which draws upon data from the 2016 Census of Canada for the Vancouver CMA. The table is a custom order and contains characteristics pertaining to senior's housing. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Geography: Province of British Columbia, Vancouver CMA to the CT level Structural Type: -Single detached house -Apartment in a building with five or more stories -Other attached dwellings -Movable dwellings Family Characteristics of Seniors: -Seniors living alone -Seniors living in private households with two or more persons -Living in a couple (married or common-law) -Without a son or daughter present -With a son or daughter present -Not living as a couple, with a son or daughter present -Living with other relative or non-relatives only Tenure: -Owner (with and without mortgage) -Renter -Subsidized housing -Not subsidized housing Total Income: Median and average total income Age of Seniors: 5 year age cohorts starting at 65 and ending at 85 years and over Housing Indicators -Adequacy: Major repairs needed -Suitability: Not suitable -Affordability: 30% or more of household income is spent on shelter costs -Adequacy, suitability or affordability Original file name: CRO0175136_SX.1.ivt

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

Key observations

• Employment patterns: Within Vancouver, among individuals aged 15 years and older with income, there were 70,364 men and 69,920 women in the workforce. Among them, 37,502 men were engaged in full-time, year-round employment, while 30,382 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.51% fell within the income range of under $24,999, while 4.94% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.27% of men in full-time roles earned incomes exceeding $100,000, while 14.65% 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)

https://i.neilsberg.com/ch/vancouver-wa-income-distribution-by-gender-and-employment-type.jpeg" alt="Vancouver, WA gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 Vancouver median household income by gender. You can refer the same here

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

This map shows female median income for the female population 15 years of age and over reporting income in 1995 (not including institutional residents). The distribution of incomes above the national female median of $14 508 were most prominent in Vancouver, Calgary, Toronto, Ottawa-Hull, Montréal, and Quebec. Based on the 1996 Census, the number of women reporting income has steadily increased over the years. In 1995, women represented nearly half of all income recipients, compared with 17% in 1990. However, women still represented the majority of workers in the 25 lowest paying occupations. Women had on average increased their purchasing power by 5% between 1980 and 1985, with an additional 12% gain over men between 1985 and 1990.

The average mortgage payment in the large and mid-sized cities in Canada ranged between 1,300 Canadian dollars and 2,600 Canadian dollars. In the fourth quarter of the year, Vancouver topped the ranking, with homebuyers paying, on average, ***** Canadian dollars monthly. In Toronto, the average monthly scheduled mortgage payment was ***** Canadian dollars. Canada’s housing market House prices in Canada vary widely across the country. In 2023, the average sales price of detached single-family homes in Vancouver was nearly three times as expensive as the national average. Vancouver is undoubtedly considered the least affordable housing market: In 2023, the cost of buying a home with a **-year mortgage in Canada was approximately ** percent of the median household income, whereas in Vancouver, it was nearly *** percent. Development of house prices The development of house prices depends on multiple factors, such as availability on the market and demand. Since 2005, house prices in Canada have been continuously growing. According to the MSL composite house price index, 2021 measured the highest house price increase.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.