22 datasets found
  1. Regional unemployment rates used by the Employment Insurance program,...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Sep 5, 2025
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    Government of Canada, Statistics Canada (2025). Regional unemployment rates used by the Employment Insurance program, three-month moving average, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410035401-eng
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    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

  2. T

    Canada Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 5, 2025
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    TRADING ECONOMICS (2024). Canada Unemployment Rate [Dataset]. https://tradingeconomics.com/canada/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1966 - Aug 31, 2025
    Area covered
    Canada
    Description

    Unemployment Rate in Canada increased to 7.10 percent in August from 6.90 percent in July of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated Dec 28, 2018
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    Statistics Canada (2018). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/montreal/
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    Dataset updated
    Dec 28, 2018
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Montreal
    Description

    Monthly unemployment rate for the Montreal CMA as reported by Statistics Canada.

  4. Unemployment rate, participation rate and employment rate by educational...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 27, 2025
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    Government of Canada, Statistics Canada (2025). Unemployment rate, participation rate and employment rate by educational attainment, annual [Dataset]. http://doi.org/10.25318/1410002001-eng
    Explore at:
    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

  5. Unemployment rate in Canada 2029

    • statista.com
    Updated Aug 7, 2025
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    Statista (2025). Unemployment rate in Canada 2029 [Dataset]. https://www.statista.com/statistics/263696/unemployment-rate-in-canada/
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    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The statistic shows the unemployment rate in Canada from 2019 to 2023, with projections up until 2029. In 2023, the unemployment rate in Canada was at around 5.41 percent. Canada’s economy Three-quarter of Canada’s workforce is employed in the services sector, with the other two sectors, agriculture and industry, accounting for the rest of Canada’s employment. The country’s main export and import partner is the United States. Although both export and import figures have increased over the last few years, the trade balance of goods in Canada – i.e. the value of Canada’s exports minus the value of its imports – has slumped dramatically since the economic crisis hit in 2008. In 2009, for the first time in a decade, Canada reported a trade deficit, and the figures are still struggling to recover. Additionally, Canada’s public debt has been increasing since the crisis. Although a few key figures are still not back to the usual level, Canada and its economy seem to have more or less bounced back from the crisis; as can be seen above, the unemployment rate is gradually decreasing, for example, and gross domestic product / GDP in Canada has been increasing steadily. Canada is thus among the countries with the largest proportion of global gross domestic product / GDP based on Purchasing Power Parity. Canada is among the leading trading nations worldwide, and an important part of its economy is the export of oil. The country hosts significant oil resources, in fact, its capacity is the third-largest after those of Saudi Arabia and Venezuela.

  6. Labour force characteristics by age group, monthly, seasonally adjusted

    • www150.statcan.gc.ca
    Updated Sep 5, 2025
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    Government of Canada, Statistics Canada (2025). Labour force characteristics by age group, monthly, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410028701-eng
    Explore at:
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

  7. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated Dec 28, 2018
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    Statistics Canada (2018). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/winnipeg/
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    Dataset updated
    Dec 28, 2018
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Winnipeg
    Description

    Monthly unemployment rate for the Winnipeg CMA as reported by Statistics Canada.

  8. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated Dec 28, 2018
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    Statistics Canada (2018). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/saskatoon/
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    Dataset updated
    Dec 28, 2018
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Saskatoon
    Description

    Monthly unemployment rate for the Saskatoon CMA as reported by Statistics Canada.

  9. Unemployment rates of 25- to 29-year-olds, by educational attainment, Canada...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 1, 2025
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    Government of Canada, Statistics Canada (2025). Unemployment rates of 25- to 29-year-olds, by educational attainment, Canada and provinces [Dataset]. http://doi.org/10.25318/1410036201-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Unemployment rates of 25- to 29-year-olds, by educational attainment, Canada and jurisdictions. This table is included in Section E: Transitions and outcomes: Labour market outcomes 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.

  10. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated May 6, 2025
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    Statistics Canada (2025). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/edmonton/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Edmonton, Alberta
    Description

    Monthly unemployment rate for the Edmonton CMA as reported by Statistics Canada.

  11. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated Dec 28, 2018
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    Statistics Canada (2018). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/halifax-recruiters/
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    Dataset updated
    Dec 28, 2018
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Halifax Regional Municipality
    Description

    Monthly unemployment rate for the Halifax CMA as reported by Statistics Canada.

  12. N

    Toronto, SD annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Toronto, SD annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a53b983e-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Dakota, Toronto
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 Toronto. 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 Toronto, the median income for all workers aged 15 years and older, regardless of work hours, was $37,426 for males and $33,000 for females.

    Based on these incomes, we observe a gender gap percentage of approximately 12%, indicating a significant disparity between the median incomes of males and females in Toronto. Women, regardless of work hours, still earn 88 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

    - Full-time workers, aged 15 years and older: In Toronto, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,214, while females earned $36,667, leading to a 31% gender pay gap among full-time workers. This illustrates that women earn 69 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a lower gender pay gap percentage. This indicates that Toronto offers better opportunities for women 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 Toronto median household income by race. You can refer the same here

  13. N

    Toronto, SD annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Toronto, SD annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/baca4e82-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Dakota, Toronto
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 Toronto. The dataset can be utilized to gain insights into gender-based income distribution within the Toronto population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Toronto, among individuals aged 15 years and older with income, there were 101 men and 84 women in the workforce. Among them, 40 men were engaged in full-time, year-round employment, while 46 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 15% fell within the income range of under $24,999, while 41.30% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 10% of men in full-time roles earned incomes exceeding $100,000, while none 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)
    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:

    • $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 Toronto median household income by race. You can refer the same here

  14. Unemployment rate, participation rate and employment rate by gender, annual

    • www150.statcan.gc.ca
    Updated Jan 24, 2025
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    Government of Canada, Statistics Canada (2025). Unemployment rate, participation rate and employment rate by gender, annual [Dataset]. http://doi.org/10.25318/1410032701-eng
    Explore at:
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Unemployment rate, participation rate and employment rate for men and women, 15 years and over, by province, current year.

  15. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated Dec 28, 2018
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    Statistics Canada (2018). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/calgary-recruiters/
    Explore at:
    Dataset updated
    Dec 28, 2018
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Calgary
    Description

    Monthly unemployment rate for the Calgary CMA as reported by Statistics Canada.

  16. l

    Toronto unemployment rate – May 2025 to July 2025

    • locksearchgroup.com
    Updated Dec 28, 2018
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    Statistics Canada (2018). Toronto unemployment rate – May 2025 to July 2025 [Dataset]. https://www.locksearchgroup.com/offices/moncton/
    Explore at:
    Dataset updated
    Dec 28, 2018
    Dataset authored and provided by
    Statistics Canada
    Area covered
    Moncton
    Description

    Monthly unemployment rate for the Moncton CMA as reported by Statistics Canada.

  17. Temporary Foreign Worker Program (TFWP): Positive Labour Market Impact...

    • open.canada.ca
    csv, xls, xlsx
    Updated Jun 19, 2025
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    Employment and Social Development Canada (2025). Temporary Foreign Worker Program (TFWP): Positive Labour Market Impact Assessment (LMIA) Employers List [Dataset]. https://open.canada.ca/data/en/dataset/90fed587-1364-4f33-a9ee-208181dc0b97
    Explore at:
    xlsx, xls, csvAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2025 - Mar 31, 2025
    Description

    A positive LMIA will be issued by Service Canada if an assessment indicates that hiring a temporary foreign worker (TFW) will have a positive or neutral impact on the Canadian labour market. A positive LMIA must be obtained by an employer before hiring a TFW for a specific occupation. This list excludes all personal names, such as employers of caregivers or business names that use or include personal names. For this reason, the list is not complete and does not reflect all employers who requested or received an LMIA. The data provided in this report tracks TFW positions on Labour Market Impact Assessments only, not TFWs that are issued a work permit or who enter Canada. The decision to issue a work permit rests with Immigration, Refugees and Citizenship Canada (IRCC); therefore, not all positions approved result in a work permit or a TFW entering Canada. The data includes all positions on all positive LMIAs as issued, and therefore also includes any position that may have been subsequently cancelled by the employer. For information on the number of work permits issued, please consult Immigration, Refugee and Citizenship Canada (IRCC) Facts and Figures: http://www.cic.gc.ca/english/resources/statistics/menu-fact.asp. Note: From Q1 2018 to Q3 2023 data, LMIAs in support of Permanent Residence (PR) were excluded from published employer lists. As of the publication of Q4 2023 employer lists (published in April 2024) and going forward, all LMIAs in support of 'Permanent Residence (PR) Only' will be included in the employer lists. However, previous employer lists will not be updated. Should an employer wish to contact ESDC concerning the accuracy of this information, please contact NA-TFWP-PTET@hrsdc-rhdcc.gc.ca.

  18. Commercial Banking in Canada - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Sep 11, 2019
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    IBISWorld (2019). Commercial Banking in Canada - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/canada/market-research-reports/commercial-banking-industry/
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    Dataset updated
    Sep 11, 2019
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Canada
    Description

    The high interest rate environment experienced over the five years to 2025, along with overall economic growth, has benefitted the Commercial Banking industry in Canada. Banks have done an exceptional job diversifying revenue streams, due to higher interest rates and despite increasing regulations. The industry primarily generates revenue through interest income sources, such as business loans and mortgages, but it also generates income through noninterest sources, which include fees on a variety of services and commissions. Industry revenue has been growing at a CAGR of 13.9% to $490.3 billion over the past five years, with an expected decrease of 0.3% in 2025 alone. In addition, profit, measured as earnings before interest and taxes, has climbed over the past five years and will comprise 31.1% of revenue in the current year. Industry revenue generated by interest income sources depends on demand for loans by consumers and the interest banks can charge on the capital they lend. Therefore, high interest rates have enabled banks to increasingly charge for loans. However, the recent rate cuts in the latter part of the period have limited the price banks can charge for loans, hindering the interest income from these loans, although, with lower rates, commercial banks are anticipated to encounter growing loan volumes. Also, technological innovations have disrupted traditional banking features. The growing trends of online and mobile banking have increased customer engagement and loyalty, which has further aided the industry's expansion. Over the five years to 2030, projected interest rate declines and improvements in corporate profit are still anticipated to boost interest income from lending products. However, the remarkable debt levels of Canadian households make it increasingly likely that a period of deleveraging will begin over the next five years. Quicker growth rates in household debt and consumer spending are expected to increase interest income. In addition, improving macroeconomic conditions, such as unemployment and private investment, are expected to further boost revenue. Nonetheless, industry revenue is forecast to grow at a CAGR of 1.0% to $516.5 billion over the five years to 2030.

  19. Number of immigrants arriving in Canada 2024, by province

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Number of immigrants arriving in Canada 2024, by province [Dataset]. https://www.statista.com/statistics/444906/number-of-immigrants-in-canada/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Canada
    Description

    Ontario was the province with the most immigrants in 2024, with 197,657 immigrants. Nunavut, Canada’s northernmost territory, had 56 immigrants arrive in the same period. Immigration to Canada Over the past 20 years, the number of immigrants to Canada has held steady and is just about evenly split between men and women. Asian countries dominate the list of leading countries of birth for foreign-born residents of Canada, although the United Kingdom, the United States, and Italy all make the list as well. Unemployment among immigrants In 2023, the unemployment rate for immigrants in Canada was highest among those who had been in the country for five years or less. The unemployment rate decreased the longer someone had been in Canada, and unemployment was lowest among those who had been in the country for more than ten years, coming more into line with the average unemployment rate for the whole of Canada.

  20. Inflation rate in Canada 2030

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Inflation rate in Canada 2030 [Dataset]. https://www.statista.com/statistics/271247/inflation-rate-in-canada/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The statistic shows the average inflation rate in Canada from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2022, the average inflation rate in Canada was approximately 6.8 percent compared to the previous year. For comparison, inflation in India amounted to 5.56 percent that same year. Inflation in Canada In general, the inflation rate in Canada follows a global trend of decreasing inflation rates since 2011, with the lowest slump expected to occur during 2015, but forecasts show an increase over the following few years. Additionally, Canada's inflation rate is in quite good shape compared to the rest of the world. While oil and gas prices have dropped in Canada much like they have around the world, food and housing prices in Canada have been increasing. This has helped to offset some of the impact of dropping oil and gas prices and the effect this has had on Canada´s inflation rate. The annual consumer price index of food and non-alcoholic beverages in Canada has been steadily increasing over the last decade. The same is true for housing and other price indexes for the country. In general there is some confidence that the inflation rate will not stay this low for long, it is expected to return to a comfortable 2 percent by 2017 if estimates are correct.

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Government of Canada, Statistics Canada (2025). Regional unemployment rates used by the Employment Insurance program, three-month moving average, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410035401-eng
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Regional unemployment rates used by the Employment Insurance program, three-month moving average, seasonally adjusted

1410035401

Explore at:
Dataset updated
Sep 5, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Government of Canadahttp://www.gg.ca/
Area covered
Canada
Description

Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

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