David Thomson and family had a total net worth of 72.7 billion U.S. dollars, representing the richest in Canada in 2024. Changpeng Zhao, co-founder and executive chairman of Binance, is the second-richest person in Canada, with a net worth of 63.7 U.S. dollars.

The gini index in Canada was forecast to remain on a similar level in 2029 as compared to 2024 with 0.33 points. According to this forecast, the gini will stay nearly the same over the forecast period. The Gini coefficient here measures the degree of income inequality on a scale from 0 (=total equality of incomes) to one (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the gini index in countries like United States and Mexico.

Wealth and its subcomponent distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, annual 2010 to 2019 and quarterly starting 2020.

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 table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Characteristics (13 items: All households; Lowest income quintile; Second income quintile; Third income quintile; ...); Net worth indicators (wealth) (17 items: Financial assets as a share of total assets; Life insurance and pensions as a share of total assets; Other financial assets as a share of total assets; Non-financial assets as a share of total assets; ...).

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in New Canada town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In New Canada town, the median household income for the households where the householder is White increased by $30,494(68.54%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $44,494 in 2011 and $74,988 in 2021.
• Black or African American: As per the U.S. Census Bureau population data, in New Canada town, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/new-canada-me-median-household-income-by-race-trends.jpeg" alt="New Canada, Maine median household income trends across races (2011-2021, 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.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in New Canada town.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented 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/.

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

This activity is conducted for the development and dissemination of annual small area socio-economic data for Canadians and their families. These data, collected primarily from income tax returns submitted to the Canada Revenue Agency (CRA), provide income and demographic information for sub-provincial geographic areas. Data are used by municipal, provincial and federal government departments to evaluate programs and support policy recommendations. Data are used in business and educational fields to learn more about the markets targeted. Academics and researchers use the data for analyses of socio-economic conditions. Reference period: Calendar year "y" for income; end of calendar year "y" for age; point in time (usually April of calendar year "y+1") for address information. Collection period: Income tax returns are filed mainly in the spring following the year of reference. The T1 files for income year "y" are received from Canada Revenue Agency (CRA) in January of the year "y+2".

QuoteWay Canada provides extensive Demographic Data, ideal for businesses seeking detailed audience targeting. Our Demographic Data encompasses approximately 1.3M records, specifically collected for life insurance purposes and currently resting for about 3 months without contact. This Demographic Data includes age, gender, address, and identity data, ensuring a comprehensive view of the Canadian audience.

Use Cases of Demographic Data: - Targeted Marketing Campaigns: Utilize our Demographic Data to launch highly targeted marketing campaigns with precise audience segmentation. - Customer Profiling: Create detailed customer profiles using our rich Demographic Data. - Market Research: Conduct thorough market research with reliable Demographic Data for accurate consumer insights. - Product Development: Use Demographic Data to inform product development based on the characteristics and identity of your target audience. - Geographic Analysis: Perform geographic analysis with 96% valid postal codes from our Demographic Data. - Email Campaigns: Boost email marketing success rates with 98% valid emails from our Demographic Data. - Telemarketing: Improve telemarketing outcomes using 70% valid phone numbers in our Demographic Data.

Key Benefits of Demographic Data: - High Accuracy: Our Demographic Data is verified with 96% valid postal codes, 98% valid emails, and 70% valid phone numbers. - Comprehensive Dataset: Access a large dataset of approximately 1.3M records, including detailed demographic information and identity data. - Fresh Data: The Demographic Data has been resting for about 3 months, ensuring it is not overused. - Versatile Use: Suitable for various applications such as marketing, research, advertising and product development. - Compliance Ready: Our Demographic Data is ready to use under QuoteWay Canada Inc., ensuring compliance and ease of use. - Life Insurance Focused: The data was initially collected for life insurance purposes, providing a unique consumer segment. - Reliable Source: QuoteWay's commitment to quality ensures that our Demographic Data is reliable and effective, using our Advertising Data.

By leveraging QuoteWay Canada's Demographic and Identity Data, businesses can achieve greater accuracy and success in their consumer outreach efforts. The comprehensive and verified nature of our Demographic Data makes it an invaluable resource for any organization looking to enhance its audience targeting strategies.

The Gross Domestic Product (GDP) in Canada was worth 2241.25 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Canada represents 2.11 percent of the world economy. This dataset provides - Canada GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

While the commodities market bust has not forced the country to contract, it did dent growth in retail savings and investment in 2015. 2016 should see a resurgence in Canadians’ asset appreciation, but a tepid recovery in oil and gas along with substantial household debt loads will see slower growth over the rest of the forecast period. Read More

• What is the average net worth of households within my trade area? • What proportions of my customers’ assets are held in chequing and savings accounts? Stocks? Bonds? Mutual Funds? • Which areas within my trade area have a high debt-to-asset ratio? • What types of debt do my customers have? Are their debts dominated by credit cards? HELOC? Mortgages? • Are the average real estate values around my business higher or lower than the average real estate values in my base market? • What proportion of my trade area holds an RRIF vs. an RRSP? • and more

Built using authoritative data from a variety of sources—such as the Bank of Canada, Canada Revenue Agency, and Statistics Canada—and sophisticated modelling techniques, WealthScapes is designed for financial planning, marketing, and targeting applications.

The latest version features a database of over 100 key financial and investment statistics to help financial institutions, charitable organizations, and large retailers better understand their customers' financial and investment behaviour. The key variables used in WealthScapes are created to match the best available control totals in Canada so that chief economists will endorse them.

The Canadian Census 1996 Profile Series presents statistical overviews of regions, presenting most census variables for the following levels of geography: Canada, Provinces, Territories, Federal Electoral Districts, Census Metropolitan Areas, Census Divisions, Census Subdivisions, Census Agglomerations, Census Tracts, Forward Sortation Areas and Enumeration Areas. Census variables are grouped into the following categories: counts and demographic data, ethnic origin, population group, place of birth, citizenship and immigration, language, Aboriginal peoples, schooling, household activities, labour force, income, families and households, housing, institutions and other collectives, as well as disability. The aggregate data tables are presented in Beyond 20/20 Format (.ivt).

The cross-sectional public-use microdata file for the Survey of Financial Security is a collection of income, assets, debts and wealth data on the economy of Canadian families. The production of this file includes many safeguards to prevent the identification of any one person or family. The file is produced at the economic family level with information on family demographics; income; financial behaviours and attitudes; principal residence; assets, debts and net worth; family composition and size; and the major income recipient.

HNW individuals in Canada are predominantly older males. HNW investors mainly source their wealth through earned income and entrepreneurship, but inheritance is forecast to rise given the older age of the HNW cohort. In a competitive market such as this, while the largest chunk of HNW wealth is held via discretionary mandates, offering a multi-service proposition focused on financial planning and tax planning is a must. A burgeoning appetite for digitized and automated solutions such as robo-advice, a buoyant property market, and growing demand for ESG and alternative investments provide arguably the most significant growth opportunities for global wealth managers in the foreseeable future. Read More

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Little Canada, MN, 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 16,271, while the mean income for the highest quintile (20% of households with the highest income) is 270,999. This indicates that the top earners earn 17 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 530,349, which is 195.70% higher compared to the highest quintile, and 3259.47% higher compared to the lowest quintile.

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

Canada CA: Land Area data was reported at 8,788,700.000 sq km in 2022. This stayed constant from the previous number of 8,788,700.000 sq km for 2021. Canada CA: Land Area data is updated yearly, averaging 8,965,590.000 sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 8,965,590.000 sq km in 2020 and a record low of 8,788,700.000 sq km in 2022. Canada CA: Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.;Food and Agriculture Organization, electronic files and web site.;Sum;

In the vast and diverse territory of Canada, a nation that is home to a rich mix of cultures and traditions, Canadian surnames play a fundamental role in the identity of its inhabitants. The plurality of origins and roots that characterize the Canadian population is reflected in the variety of surnames found in the country. From those who come from indigenous communities to those with European and Asian influences, each surname tells a unique story that enriches the Canadian social fabric. In this article, we present a list of the most common surnames in Canada, which not only illustrate the diversity of the country, but also highlight the cultural heritage that Canadians carry with them. Join us to explore these surnames that are part of the Canadian heritage and discover their meaning and importance in the identity of their bearers.

About this dataset

Context

The dataset presents the median household income across different racial categories in New Canada town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of New Canada town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 77.53% of the total residents in New Canada town. Notably, the median household income for White households is $74,988. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $74,988.

https://i.neilsberg.com/ch/new-canada-me-median-household-income-by-race.jpeg" alt="New Canada town median household income diversity across racial categories">

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in New Canada town.
• Median household income: Median household income, adjusting for inflation, presented 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/.

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

This report reviews the performance and asset allocations of HNWIs and Ultra-HNWIs in Canada. It also includes an evaluation of the local wealth management market. Read More

This table has been archived and replaced by table 36100665. The sum of the values for net worth and its components by province and region is less than the total for Canada as they exclude the territories. The income quintiles refer to the quintiles estimated at the Canada level and not at the provincial/territorial level. The Income quintiles are assigned based on the equalized household disposable income. This takes into account differences in household size and composition. The Oxford-modified equivalence scale is used; it assigns a value of 1 to the first adult, 0.5 to each additional person aged 14 and over, and 0.3 for all children under 14. The coefficients of variation from Statistics Canada's Survey of Financial Security for 2012 and 2016, which serve as indicators of the accuracy of these estimates for net worth and its components, are available in the appendix to Distributions of Household Economic Accounts, estimates of asset, liability and net worth distributions, 2010 to 2019, technical methodology and quality report for the March 2020 release. Age groups refer to the age group of the major income earner. Life insurance and pensions include the value of all life insurance and employer pension plans, termination basis. Excludes public plans administered or sponsored by governments: Old Age Security (OAS) including the Guaranteed Income Supplement (GIS) and the Spouse's Allowance (SPA), as well as the Canada and Quebec Pension Plans (CPP/QPP). Other financial assets include total currency and deposits, Canadian short-term paper, Canadian bonds and debentures, foreign investments in paper and bonds, mortgages, equity and investment funds, and other receivables. Other non-financial assets include consumer durables, machinery and equipment, and intellectual property products. Excludes accumulation of value of collectibles including coins, stamps and art work. Other liabilities include major credit cards and retail store cards, gasoline station cards, etc., vehicle loans, lines of credit, student loans, other loans from financial institutions and other money owed. Owner's equity refers to the value of the interests of an owner or partial owner in an asset, in this case real estate, divided by household real estate, which includes the value of structures (residential and non-residential) and land owned by households. Distributions of Household Economic Accounts (DHEA) estimates are benchmarked to year-end estimates for liabilities and assets from the National Balance Sheet Accounts (NBSA, Table 36-10-0580-01), and for annual household disposable income from the Provincial-Territorial Economic Accounts (Table 36-10-0224-01). DHEA ratios for debt to disposable income, real estate as a share of disposable income, and net worth as a share of disposable income differ from those included in “Financial indicators of households and non-profit institutions serving households, national balance sheet accounts” (Table 38-10-0235-01) as the latter source adjusts disposable income for the change in pension entitlements. The measure of disposable income used for the DHEA ratios is more consistent with that shown in “Household sector credit market summary table, seasonally adjusted estimates” (Table 38-10-0238), which does not adjust disposable income for the change in pension entitlements.