Unemployment Rate in Canada decreased to 6.90 percent in June from 7 percent in May of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

The unemployment rate in Canada stands at 6.5 percent according to the latest data from . That reading shows a decrease from the level of 7 percent in the previous month and an increase from the level of 6.2 percent in the same month of the previous year. The unemployment rate data in Canada...

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), gender and age group. 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.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. 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.

As of 2023, Italy had the highest unemployment rate of the G7 countries, reaching 7.6 percent. Especially in Canada and the United States, the unemployment rate rose sharply in 2020 due to the COVID-19 outbreak. Japan had the lowest unemployment rate at just 2.6 percent. Slowed growth of the Japanese economy and society While Japan had the lowest unemployment rate, it also experienced a slow wage growth. Wages in Japan are known to be stagnant, with many workers going years without experiencing any wage growth in their roles. One contributing factor to its low unemployment rate is its shrinking population. As the population continues to decrease, there is less competition for work. However, this introduces other problems for Japanese society, as it also has a rapidly aging population that requires long-term care. Unemployment in Italy: The divide between Northern and Southern Italy Not only does Italy have the highest unemployment rate out of the G7, but it has the second-highest unemployment rate of Europe's largest economies. Furthermore, Italy has significant levels of youth unemployment, with the majority of youth unemployment lying within southern regions of the country. The economic divide between Northern and Southern Italy is significant, and can be attributed to differences in industralization and economic diversification. The prominence of this divide has had wider impacts on Italian politics and society.

To ensure respondent confidentiality, estimates below a certain threshold are suppressed. For Canada, Quebec, Ontario, Alberta and British Columbia suppression is applied to all data below 1,500. The threshold level for Newfoundland and Labrador, Nova Scotia, New Brunswick, Manitoba and Saskatchewan is 500, while in Prince Edward Island, estimates under 200 are suppressed. For census metropolitan areas (CMAs) and economic regions (ERs), use their respective provincial suppression levels mentioned above. Estimates are based on smaller sample sizes the more detailed the table becomes, which could result in lower data quality. Fluctuations in economic time series are caused by seasonal, cyclical and irregular movements. A seasonally adjusted series is one from which seasonal movements have been eliminated. Seasonal movements are defined as those which are caused by regular annual events such as climate, holidays, vacation periods and cycles related to crops, production and retail sales associated with Christmas and Easter. It should be noted that the seasonally adjusted series contain irregular as well as longer-term cyclical fluctuations. The seasonal adjustment program is a complicated computer program which differentiates between these seasonal, cyclical and irregular movements in a series over a number of years and, on the basis of past movements, estimates appropriate seasonal factors for current data. On an annual basis, the historic series of seasonally adjusted data are revised in light of the most recent information on changes in seasonality. Number of civilian, non-institutionalized persons 15 years of age and over who, during the reference week, were employed or unemployed. Estimates in thousands, rounded to the nearest hundred. Number of persons who, during the reference week, worked for pay or profit, or performed unpaid family work or had a job but were not at work due to own illness or disability, personal or family responsibilities, labour dispute, vacation, or other reason. Those persons on layoff and persons without work but who had a job to start at a definite date in the future are not considered employed. Estimates in thousands, rounded to the nearest hundred. Number of persons who, during the reference week, were without work, had looked for work in the past four weeks, and were available for work. Those persons on layoff or who had a new job to start in four weeks or less are considered unemployed. Estimates in thousands, rounded to the nearest hundred. The unemployment rate is the number of unemployed persons expressed as a percentage of the labour force. The unemployment rate for a particular group (age, gender, marital status, etc.) is the number unemployed in that group expressed as a percentage of the labour force for that group. Estimates are percentages, rounded to the nearest tenth. Industry refers to the general nature of the business carried out by the employer for whom the respondent works (main job only). Industry estimates in this table are based on the 2022 North American Industry Classification System (NAICS). Formerly Management of companies and administrative and other support services"." This combines the North American Industry Classification System (NAICS) codes 11 to 91. This combines the North American Industry Classification System (NAICS) codes 11 to 33. This combines the North American Industry Classification System (NAICS) codes 41 to 91. Unemployed persons who have never worked before, and those unemployed persons who last worked more than 1 year ago. For more information on seasonal adjustment see Seasonally adjusted data - Frequently asked questions." Labour Force Survey (LFS) North American Industry Classification System (NAICS) code exception: add group 1100 - Farming - not elsewhere classified (nec). When the type of farm activity cannot be distinguished between crop and livestock, (for example: mixed farming). Labour Force Survey (LFS) North American Industry Classification System (NAICS) code exception: add group 2100 - Mining - not elsewhere classified (nec). Whenever the type of mining activity cannot be distinguished. Also referred to as Natural resources. The standard error (SE) of an estimate is an indicator of the variability associated with this estimate, as the estimate is based on a sample rather than the entire population. The SE can be used to construct confidence intervals and calculate coefficients of variation (CVs). The confidence interval can be built by adding the SE to an estimate in order to determine the upper limit of this interval, and by subtracting the same amount from the estimate to determine the lower limit. The CV can be calculated by dividing the SE by the estimate. See Section 7 of the Guide to the Labour Force Survey (opens new window) for more information. The standard errors presented in this table are the average of the standard errors for 12 previous months The standard error (SE) for the month-to-month change is an indicator of the variability associated with the estimate of the change between two consecutive months, because each monthly estimate is based on a sample rather than the entire population. To construct confidence intervals, the SE is added to an estimate in order to determine the upper limit of this interval, and then subtracted from the estimate to determine the lower limit. Using this method, the true value will fall within one SE of the estimate approximately 68% of the time, and within two standard errors approximately 95% of the time. For example, if the estimated employment level increases by 20,000 from one month to another and the associated SE is 29,000, the true value of the employment change has a 68% chance of falling between -9,000 and +49,000. Because such a confidence interval includes zero, the 20,000 change would not be considered statistically significant. However, if the increase is 30,000, the confidence interval would be +1,000 to +59,000, and the 30,000 increase would be considered statistically significant. (Note that 30,000 is above the SE of 29,000, and that the confidence interval does not include zero.) Similarly, if the estimated employment declines by 30,000, then the true value of the decline would fall between -59,000 and -1,000. See Section 7 of the Guide to the Labour Force Survey (opens new window) for more information. The standard errors presented in this table are the average of standard errors for 12 previous months. They are updated twice a year The standard error (SE) for the year-over-year change is an indicator of the variability associated with the estimate of the change between a given month in a given year and the same month of the previous year, because each month's estimate is based on a sample rather than the entire population. The SE can be used to construct confidence intervals: it can be added to an estimate in order to determine the upper limit of this interval, and then subtracted from the same estimate to determine the lower limit. Using this method, the true value will fall within one SE of the estimate, approximately 68% of the time, and within two standard errors, approximately 95% of the time. For example, if the estimated employment level increases by 160,000 over 12 months and the associated SE is 55,000, the true value of the change in employment has approximately a 68% chance of falling between +105,000 and +215,000. This change would be considered statistically significant at the 68% level as the confidence interval excludes zero. However, if the increase is 40,000, the interval would be -15,000 to +95,000, and this increase would not be considered statistically significant since the interval includes zero. See Section 7 of the Guide to the Labour Force Survey (opens new window) for more information. The standard errors presented in this table are the average of standard errors for 12 previous months and are updated twice a year Excluding the territories. Starting in 2006, enhancements to the Labour Force Survey data processing system may have introduced a level shift in some estimates, particularly for less common labour force characteristics. Use caution when comparing estimates before and after 2006. For more information, contact statcan.labour-travail.statcan@statcan.gc.ca

Map of the percentage of individuals (15 years and over) as identified by the first official language spoken who, during the week of Sunday, May 1 to Saturday, May 7, 2016, were without paid work or without self-employment work and were available for work and either: (a) had actively looked for paid work in the past four weeks; or (b) were on temporary lay-off and expected to return to their job; or (c) had definite arrangements to start a new job in four weeks or less. Data is based on the 2016 Census of Canada, 25 % sample, the universe is the population 15 years and over.

Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.

Map of the number of individuals (15 years and over) as identified by the first official language spoken who, during the week of Sunday, May 1 to Saturday, May 7, 2016, were without paid work or without self-employment work and were available for work and either: (a) had actively looked for paid work in the past four weeks; or (b) were on temporary lay-off and expected to return to their job; or (c) had definite arrangements to start a new job in four weeks or less. Data is based on the 2016 Census of Canada, 25 % sample, the universe is the population 15 years and over.

Employment in Canada increased by 83.10 in June of 2025. This dataset provides the latest reported value for - Canada Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Employment, unemployment and labour force participation rates of immigrants by educational characteristics, with admission category (for example, economic immigrant, family-class or refugee).

The statistic shows the gross domestic product (GDP) in Canada from 1987 to 2024, with projections up until 2030. In 2024, the gross domestic product in Canada was around 2.41 trillion U.S. dollars. The economy of Canada Canada is the second biggest country in the world after Russia and the biggest country in North America. Despite its large size, Canada has a relatively small population of just around 35.9 million people. However, the total population in Canada is estimated to grow to around 37.5 million inhabitants in 2020. The standard of living in the country is pretty high, the life expectancy as of 2013 in Canada ranks as one of the highest in the world. In addition, the country ranks number eight on the Human Development Index (HDI) worldwide. All key factors point to a stable and sustainable economy. Not only is Canada’s population increasing, but the economy has been slowly recovering after the global financial crisis in 2008. The unemployment rate in Canada in 2010 was at approximately 8 percent (263696). Today, the unemployment rate in Canada is estimated to be around 6.8 percent, and it is estimated to decrease further. During the financial crisis in 2008, Canada's inflation rate amounted to around 2.4 percent. By 2013, the inflation rate was at less than 1 percent in comparison to the previous year. Canada is considered to be one of the world’s wealthiest countries. By value of private financial wealth, Canada ranked seventh along with Italy. In addition, its gross domestic product per capita in 2014 was among the largest in the world and during the same year, its gross domestic product increased by over 2.5 percent in comparison to the previous year. Canada’s economic growth has been a result of its political stability and economic reforms following the global financial crisis. In the period between 2009 and 2010, Canada was among the leading countries with the highest political stability in the world.

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.

Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Jun 2025 about recession indicators, academic data, and USA.

Due to the Coronavirus (COVID-19)-related containment measures and the decline in oil and gas investments owing to low oil prices, construction output in Canada is expected to contract by 7% in 2020 and then by a further 2% in 2021, before recovering and growing at a modest annual average rate of 1.1% over the remaining part of the forecast period (2022-2024). Measures to contain the spread of the COVID-19 outbreak have led to a sudden, deep contraction in economic activity and soaring levels of unemployment, which is, in turn, reducing demand for new buildings in the country. According to Statistics Canada, the total building permits dropped by almost 37.7% in April and 15.2% in May compared to the same period last year. However, with an ease in restrictions, the total building permits issued in the country grew by 5.8% year-on-year in June 2020. Read More

This table contains 42 series, with data for years 1996 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (3 items: Montréal; Quebec; Toronto; Ontario; Vancouver; British Columbia ...), Labour force characteristics (7 items: Population; Unemployment; Employment; Labour force ...), Seasonal adjustment (2 items: Seasonally adjusted; Unadjusted ...).