This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Statistics (3 items: Value; Distribution of value; Value per household); Characteristics (13 items: All households; Lowest income quintile; Second income quintile; Third income quintile; ...); Wealth (11 items: Total assets; Financial assets; Life insurance and pensions; Other financial assets; ...).

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.

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, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); Net worth quintiles (6 items: Total, all net worth quintiles; Lowest net worth quintile; Second net worth quintile; Middle net worth quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

Percentage of persons who are asset resilience for at least one, three and six months, by age group, by family type, by national low income measure (LIM) and after-tax household income measure, Canada.

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.

About this dataset

Context

The dataset presents the median household income across different racial categories in Canadian County. 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 Canadian County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 77.89% of the total residents in Canadian County. Notably, the median household income for White households is $82,305. Interestingly, despite the White population being the most populous, it is worth noting that Some Other Race households actually reports the highest median household income, with a median income of $93,253. This reveals that, while Whites may be the most numerous in Canadian County, Some Other Race households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/canadian-county-ok-median-household-income-by-race.jpeg" alt="Canadian County 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) 2022 1-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 Canadian County.
• 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 Canadian County median household income by race. You can refer the same here

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Statistics (3 items: Value; Distribution of value; Value per household); Characteristics (13 items: All households; Lowest income quintile; Second income quintile; Third income quintile; ...); Wealth (11 items: Total assets; Financial assets; Life insurance and pensions; Other financial assets; ...).

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.

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

This dataset is about artists. It has 1 row and is filtered where the artworks is Paskaart van een deel van de oostkust van de Verenigde Staten en Canada. It features 9 columns including birth date, death date, country, and gender.

The Comparative Political Economy Database (CPEDB) began at the Centre for Learning, Social Economy and Work (CLSEW) at the Ontario Institute for Studies in Education at the University of Toronto (OISE/UT) as part of the Changing Workplaces in a Knowledge Economy (CWKE) project. This data base was initially conceived and developed by Dr. Wally Seccombe (independent scholar) and Dr. D.W. Livingstone (Professor Emeritus at the University of Toronto). Seccombe has conducted internationally recognized historical research on evolving family structures of the labouring classes (A Millennium of Family Change: Feudalism to Capitalism in Northwestern Europe and Weathering the Storm: Working Class Families from the Industrial Revolution to the Fertility Decline). Livingstone has conducted decades of empirical research on class and labour relations. A major part of this research has used the Canadian Class Structure survey done at the Institute of Political Economy (IPE) at Carleton University in 1982 as a template for Canadian national surveys in 1998, 2004, 2010 and 2016, culminating in Tipping Point for Advanced Capitalism: Class, Class Consciousness and Activism in the ‘Knowledge Economy’ (https://fernwoodpublishing.ca/book/tipping-point-for-advanced-capitalism) and a publicly accessible data base including all five of these Canadian surveys (https://borealisdata.ca/dataverse/CanadaWorkLearningSurveys1998-2016). Seccombe and Livingstone have collaborated on a number of research studies that recognize the need to take account of expanded modes of production and reproduction. Both Seccombe and Livingstone are Research Associates of CLSEW at OISE/UT. The CPEDB Main File (an SPSS data file) covers the following areas (in order): demography, family/household, class/labour, government, electoral democracy, inequality (economic, political & gender), health, environment, internet, macro-economic and financial variables. In its present form, it contains annual data on 725 variables from 12 countries (alphabetically listed): Canada, Denmark, France, Germany, Greece, Italy, Japan, Norway, Spain, Sweden, United Kingdom and United States. A few of the variables date back to 1928, and the majority date from 1960 to 1990. Where these years are not covered in the source, a minority of variables begin with more recent years. All the variables end at the most recent available year (1999 to 2022). In the next version developed in 2025, the most recent years (2023 and 2024) will be added whenever they are present in the sources’ datasets. For researchers who are not using SPSS, refer to the Chart files for overviews, summaries and information on the dataset. For a current list of the variable names and their labels in the CPEDB data base, see the excel file: Outline of SPSS file Main CPEDB, Nov 6, 2023. At the end of each variable label in this file and the SPSS datafile, you will find the source of that variable in a bracket. If I have combined two variables from a given source, the bracket will begin with WS and then register the variables combined. In the 14 variables David created at the beginning of the Class Labour section, you will find DWL in these brackets with his description as to how it was derived. The CPEDB’s variables have been derived from many databases; the main ones are OECD (their Statistics and Family Databases), World Bank, ILO, IMF, WHO, WIID (World Income Inequality Database), OWID (Our World in Data), Parlgov (Parliaments and Governments Database), and V-Dem (Varieties of Democracy). The Institute for Political Economy at Carleton University is currently the main site for continuing refinement of the CPEDB. IPE Director Justin Paulson and other members are involved along with Seccombe and Livingstone in further development and safe storage of this updated database both at the IPE at Carleton and the UT dataverse. All those who explore the CPEDB are invited to share their perceptions of the entire database, or any of its sections, with Seccombe generally (wseccombe@sympatico.ca) and Livingstone for class/labour issues (davidlivingstone@utoronto.ca). They welcome any suggestions for additional variables together with their data sources. A new version CPEDB will be created in the spring of 2025 and installed as soon as the revision is completed. This revised version is intended to be a valuable resource for researchers in all of the included countries as well as Canada.

Canada CA: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2023. This stayed constant from the previous number of 0.000 Intl $ mn for 2022. Canada CA: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 0.000 Intl $ mn in 2023 and a record low of 0.000 Intl $ mn in 2023. Canada CA: External Health Expenditure Per Capita: Current PPP 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: Social: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.;World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 4, 2025.;Weighted average;

Cross-sectional income data are reported in 2016 constant dollars as two measures, including and excluding those with self-employment income. Data are available for select trades and cohorts of certified apprentices, by sex, for Canada, provinces, and the Atlantic region.

Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of debt paid off at the time of the interview, are presented by the location of residence at the time of the interview and the level of study. Estimates are available at five-year intervals.

Percentage of graduates who borrowed from government student loan programs and their average debt at graduation, Canada and provinces. This table is included in Section B: Financing education systems of the Pan Canadian Education Indicators Program (PCEIP). PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Proportion of students, aged 15 to 29, who were also working, by age group and type of institution attended, Canada and provinces. This table is included in Section E: Transitions and outcomes: Transitions to the labour market of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Survey of innovation and business strategy, main policy for dealing with employees who do not meet expectations, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.

Survey of innovation, logging and manufacturing industries, percentage of revenue of plants who introduced new or significantly improved products onto the market before competitors by type of plant, first to the market with product innovations, percentage range of revenue and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

Proportion of students who started in a college-level certificate program and graduated with a different educational qualification, within Canada, by demographic characteristics.