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).

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

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

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.

This statistic depicts the median annual family income in Canada in 2021, distinguished by province. In 2021, the median annual family income in Alberta was 106,960 Canadian dollars.

This layer shows the median household income in Canada in 2020 in a multiscale map (by Country, Province, Census Division, Census Subdivision, and Dissemination Area). Nationally, the median household income is $80,530 per year (in current dollars).The pop-up is configured to include the following information for each geography level:Total householdsMedian household incomeCount of households by income rangeThe source of this information is Environics Analytics. The vintage of the data shown is 2020.For more information about Esri demographics including geography levels, click here.Permitted use of this data is covered in Section 4.0 DATA of the Esri Master Agreement (E204CW) and these supplemental terms.

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.

This table contains 692 series, with data for years 1996 - 1996 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (173 items: Canada; Newfoundland and Labrador; Health and Community Services St. John's Region, Newfoundland and Labrador; Health and Community Services Eastern Region, Newfoundland and Labrador; ...); Characteristics (4 items: Average personal income; Standard error - average personal income; Low 95% confidence interval - average personal income; High 95% confidence interval - average personal income).

Canada Average Weekly Earnings: Number Overtime: British Columbia data was reported at 1,217.360 CAD in Dec 2023. This records an increase from the previous number of 1,190.750 CAD for Nov 2023. Canada Average Weekly Earnings: Number Overtime: British Columbia data is updated monthly, averaging 849.460 CAD from Jan 2001 (Median) to Dec 2023, with 276 observations. The data reached an all-time high of 1,217.360 CAD in Dec 2023 and a record low of 635.570 CAD in Aug 2001. Canada Average Weekly Earnings: Number Overtime: British Columbia data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G: Survey of Employment, Payrolls and Hours: Average Weekly Earnings: NAICS 2017.

This dataset includes one dataset which was custom ordered from Statistics Canada.The table includes information on housing suitability and shelter-cost-to-income ratio by number of bedrooms, housing tenure, status of primary household maintainer, household type, and income quartile ranges for census subdivisions in British Columbia. 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 Custom order from Statistics Canada includes the following dimensions and variables: Geography: Non-reserve CSDs in British Columbia - 299 geographies The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. All the geographies requested for this tabulation have been cleared for the release of income data and have a GNR under 50%. Housing Tenure Including Presence of Mortgage (5) 1. Total – Private non-band non-farm off-reserve households with an income greater than zero by housing tenure 2. Households who own 3. With a mortgage1 4. Without a mortgage 5. Households who rent Note: 1) Presence of mortgage - Refers to whether the owner households reported mortgage or loan payments for their dwelling. 2015 Before-tax Household Income Quartile Ranges (5) 1. Total – Private households by quartile ranges1, 2, 3 2. Count of households under or at quartile 1 3. Count of households between quartile 1 and quartile 2 (median) (including at quartile 2) 4. Count of households between quartile 2 (median) and quartile 3 (including at quartile 3) 5. Count of households over quartile 3 Notes: 1) A private household will be assigned to a quartile range depending on its CSD-level location and depending on its tenure (owned and rented). Quartile ranges for owned households in a specific CSD are delimited by the 2015 before-tax income quartiles of owned households with an income greater than zero and residing in non-farm off-reserve dwellings in that CSD. Quartile ranges for rented households in a specific CSD are delimited by the 2015 before-tax income quartiles of rented households with an income greater than zero and residing in non-farm off-reserve dwellings in that CSD. 2) For the income quartiles dollar values (the delimiters) please refer to Table 1. 3) Quartiles 1 to 3 are suppressed if the number of actual records used in the calculation (not rounded or weighted) is less than 16. For cases in which the renters’ quartiles or the owners’ quartiles (figures from Table 1) of a CSD are suppressed the CSD is assigned to a quartile range depending on the provincial renters’ or owners’ quartile figures. Number of Bedrooms (Unit Size) (6) 1. Total – Private households by number of bedrooms1 2. 0 bedrooms (Bachelor/Studio) 3. 1 bedroom 4. 2 bedrooms 5. 3 bedrooms 6. 4 bedrooms Note: 1) Dwellings with 5 bedrooms or more included in the total count only. Housing Suitability (6) 1. Total - Housing suitability 2. Suitable 3. Not suitable 4. One bedroom shortfall 5. Two bedroom shortfall 6. Three or more bedroom shortfall Note: 1) 'Housing suitability' refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is, whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms, as calculated using the NOS. 'Housing suitability' assesses the required number of bedrooms for a household based on the age, sex, and relationships among household members. An alternative variable, 'persons per room,' considers all rooms in a private dwelling and the number of household members. Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies. Shelter-cost-to-income-ratio (4) 1. Total – Private non-band non-farm off-reserve households with an income greater than zero 2. Spending less than 30% of households total income on shelter costs 3. Spending 30% or more of households total income on shelter costs 4. Spending 50% or more of households total income on shelter costs Note: 'Shelter-cost-to-income...

Comprehensive demographic dataset for Maple Ridge, BC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Prospective homebuyers in Vancouver, British Columbia, and Toronto, Ontario, needed an annual income of over ******* Canadian dollars in June 2025 to qualify for the average priced home. In Vancouver, this figure was approximately ******* Canadian dollars. British Columbia and Ontario, are Canada's most expensive provinces for housing. According to a January 2025 forecast by the Canadian Real Estate Association (CREA), the housing market is expected to grow in the next two years, which is likely to worsen home affordability.

Comprehensive demographic dataset for Richmond, BC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Delta, BC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

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 geography-specific; 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% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

Note: The data release is complete as of August 14th, 2023. 1. (Added April 4th) Canada and Census Divisions = Early April 2023 2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023 3a. (Added June 8th) Manitoba and Saskatchewan CSDs 3b. (Added June 12th) Quebec CSDs = June 12th 2023 4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023 5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others. 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 Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts of 10 or less are rounded to a base of 10, meaning they will be rounded to either 10 or zero. Universe: Full Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing...

This table contains 186 series (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Income quintile (6 items: All quintiles; Lowest income quintile; Second income quintile; Third income quintile; ...); Socio-demographic characteristics (31 items: All households; One-person households; Single less than 65 years; Single 65 years and older; ...).

Comprehensive demographic dataset for Abbotsford, BC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

This data provides a quarterly overview of housing affordability for homeowners in B.C. and in its major cities (census metropolitan areas). Housing affordability is measured using the Mortgage Payment Percent of Income (MPPI) which is calculated every quarter based on: • A new home buyer earning the median after-tax income for the quarter • The median home price in a region • A 25-year variable-rate mortgage • The minimum down payment • The current prime interest rate By combining home prices, income levels, and mortgage rates, the MPPI produces a full picture of housing affordability over time. Sources of Data: Statistics Canada (StatsCan): Income Data, Prime Rates, Consumer Price Index; BC Assessment Authority (BCA): House Prices

Comprehensive demographic dataset for Surrey, BC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.