Regional unemployment rates used by the Employment Insurance program, by effective date, current month.
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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.
Monthly unemployment rate for the Montreal CMA as reported by Statistics Canada.
Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.
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.
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.
Monthly unemployment rate for the Winnipeg CMA as reported by Statistics Canada.
Monthly unemployment rate for the Saskatoon CMA as reported by Statistics Canada.
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.
Monthly unemployment rate for the Edmonton CMA as reported by Statistics Canada.
Monthly unemployment rate for the Halifax CMA as reported by Statistics Canada.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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:
Employment type classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Toronto median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for Toronto median household income by race. You can refer the same here
Unemployment rate, participation rate and employment rate for men and women, 15 years and over, by province, current year.
Monthly unemployment rate for the Calgary CMA as reported by Statistics Canada.
Monthly unemployment rate for the Moncton CMA as reported by Statistics Canada.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
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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.
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.
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.
Regional unemployment rates used by the Employment Insurance program, by effective date, current month.