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.

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.

Unemployment Rate in Lake County, CA was 6.30% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Lake County, CA reached a record high of 18.30 in April of 2020 and a record low of 4.70 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Lake County, CA - last updated from the United States Federal Reserve on July of 2025.

Canada CA: NAIRU: Unemployment Gap data was reported at -0.577 % in 2022. This records an increase from the previous number of -1.614 % for 2021. Canada CA: NAIRU: Unemployment Gap data is updated yearly, averaging -0.461 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 0.643 % in 2007 and a record low of -3.360 % in 1993. Canada CA: NAIRU: Unemployment Gap data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. GAPUNR - Unemployment gap Difference of nairu and unemployment rate OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

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

Unemployment Rate in Lake County, CA was 7.00% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Lake County, CA reached a record high of 15.60 in January of 2009 and a record low of 5.20 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Lake County, CA - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Imperial County, CA was 18.40% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Imperial County, CA reached a record high of 30.90 in January of 1992 and a record low of 15.10 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Imperial County, CA - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Riverside-San Bernardino-Ontario, CA (MSA) was 5.20% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Riverside-San Bernardino-Ontario, CA (MSA) reached a record high of 15.60 in April of 2020 and a record low of 3.80 in February of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Riverside-San Bernardino-Ontario, CA (MSA) - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Plumas County, CA was 6.00% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Plumas County, CA reached a record high of 24.40 in February of 2010 and a record low of 4.30 in September of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Plumas County, CA - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Placer County, CA was 3.70% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Placer County, CA reached a record high of 13.40 in April of 2020 and a record low of 2.60 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Placer County, CA - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Riverside County, CA was 4.90% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Riverside County, CA reached a record high of 16.40 in April of 2020 and a record low of 3.50 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Riverside County, CA - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Placer County, CA was 4.10% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Placer County, CA reached a record high of 11.90 in January of 2010 and a record low of 3.10 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Placer County, CA - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Los Angeles County, CA was 5.40% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Los Angeles County, CA reached a record high of 18.90 in May of 2020 and a record low of 4.10 in April of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Los Angeles County, CA - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Madera, CA (MSA) was 7.90% in December of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Madera, CA (MSA) reached a record high of 17.40 in November of 1992 and a record low of 5.80 in April of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Madera, CA (MSA) - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Colusa County, CA was 13.00% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Colusa County, CA reached a record high of 21.70 in January of 1992 and a record low of 11.30 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Colusa County, CA - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Alameda County, CA was 4.50% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Alameda County, CA reached a record high of 11.20 in January of 2010 and a record low of 3.00 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Alameda County, CA - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Sierra County, CA was 5.60% in April of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Sierra County, CA reached a record high of 20.60 in February of 2010 and a record low of 3.00 in September of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Sierra County, CA - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Mariposa County, CA was 4.80% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Mariposa County, CA reached a record high of 21.80 in January of 1997 and a record low of 3.40 in September of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Mariposa County, CA - last updated from the United States Federal Reserve on August of 2025.

Unemployment Rate in Ventura County, CA was 4.10% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Ventura County, CA reached a record high of 14.70 in April of 2020 and a record low of 2.90 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Ventura County, CA - last updated from the United States Federal Reserve on July of 2025.

Unemployment Rate in Monterey County, CA was 6.20% in May of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Monterey County, CA reached a record high of 20.10 in January of 1993 and a record low of 3.80 in September of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Monterey County, CA - last updated from the United States Federal Reserve on August of 2025.