This statistic shows the rate of unemployment in Alberta, Canada from 2000 to 2023. In 2023, 5.9 percent of the labor force was unemployed in Alberta.

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

In 2023, the Canadian province of Newfoundland and Labrador had the highest unemployment rate in Canada. That year, it had a ten percent unemployment rate. In comparison, Québec had the lowest unemployment rate at 4.5 percent.

Nunavut

Nunavut is the largest and most northern province of Canada. Their economy is powered by many industries which include mining, oil, gas, hunting, fishing, and transportation. They have a high amount of mineral resources and many of their jobs come from mining, however, the territory still suffers from a high unemployment rate, which has fluctuated since 2004. The lack of necessary education, skills, and mobility are all factors that play a part in unemployment. Most of the population identifies as Inuit. Their official languages include English, French, and several Inuit languages. The capital is Iqaluit, which is their largest community and only city. The climate in Nunavut is a polar climate due to its high latitude, and as a result, it rarely goes above 50 degrees Fahrenheit.

Unemployment in Canada

The unemployment rate in Canada had been decreasing since 2009, but increased to 9.7 percent in 2020 due to the impact of the coronavirus pandemic. Since 2006, landed immigrants have faced higher unemployment rates compared to those born in Canada. Youth unemployment in Canada has fluctuated since 1998, but has always remained in the double digits. Additionally, the average duration of unemployment in Canada in 2023 was about 17.4 weeks.

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.

This statistic shows the unemployment rate in Canada in June 2024, by metropolitan area. In 2024, about 8.5 percent of the labor force in the Calgary metropolitan area (Alberta) was unemployed.

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

This statistic shows the number of employed people in Alberta from 2000 to 2023, by level of employment. In 2023, there were more than two million people employed full-time in Alberta.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by Atlantic region, Central provinces, Western provinces, Indigenous population (First Nations or Métis) and Non-Indigenous population, sex, and age group, last 5 years.

This statistic shows the number of employed people in Alberta, Canada in 2023, by industry. In 2023, about 365,500 people were employed in the wholesale and retail trade industry in Alberta.

Provides detailed labour market statistics for off-reserve Indigenous people for 2023. Each monthly issue includes working age population, labour force, employment, unemployment and corresponding rates; full-time, part-time, public and private sector and self-employed breakdowns; gender and age breakdowns; Edmonton, Calgary and rest of Alberta breakdowns; and industry, occupational and educational attainment information.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by immigrant status and age group, last 5 years.

Overview: Each quarter, the Temporary Foreign Worker Program (TFWP) publishes Labour Market Impact Assessment (LMIA) statistics on Open Government Data Portal, including quarterly and annual LMIA data related to, but not limited to, requested and approved TFW positions, employment location, employment occupations, sectors, TFWP stream and temporary foreign workers by country of origin. The TFWP does not collect data on the number of TFWs who are hired by an employer and have arrived in Canada. The decision to issue a work permit rests with Immigration, Refugees and Citizenship Canada (IRCC) and not all positions on a positive LMIA result in a work permit. For these reasons, data provided in the LMIA statistics cannot be used to calculate the number of TFWs that have entered or will enter Canada. IRCC publishes annual statistics on the number of foreign workers who are issued a work permit: https://open.canada.ca/data/en/dataset/360024f2-17e9-4558-bfc1-3616485d65b9. Please note that all quarterly tables have been updated to NOC 2021 (5 digit and training, education, experience and responsibilities (TEER) based). As such, Table 5, 8, 17, and 24 will no longer be updated but will remain as archived tables. Frequency of Publication: Quarterly LMIA statistics cover data for the four quarters of the previous calendar year and the quarter(s) of the current calendar year. Quarterly data is released within two to three months of the most recent quarter. The release dates for quarterly data are as follows: Q1 (January to March) will be published by early June of the current year; Q2 (April to June) will be published by early September of the current year; Q3 (July to September) will be published by early December of the current year; and Q4 (October to December) will be published by early March of the next year. Annual statistics cover eight consecutive years of LMIA data and are scheduled to be released in March of the next year. Published Data: As part of the quarterly release, the TFWP updates LMIA data for 28 tables broken down by: TFW positions: Tables 1 to 10, 12, 13, and 22 to 24; LMIA applications: Tables 14 to 18; Employers: Tables 11, and 19 to 21; and Seasonal Agricultural Worker Program (SAWP): Tables 25 to 28. In addition, the TFWP publishes 2 lists of employers who were issued a positive or negative LMIA: Employers who were issued a positive LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/90fed587-1364-4f33-a9ee-208181dc0b97/resource/b369ae20-0c7e-4d10-93ca-07c86c91e6fe); and Employers who were issued a negative LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/f82f66f2-a22b-4511-bccf-e1d74db39ae5/resource/94a0dbee-e9d9-4492-ab52-07f0f0fb255b). Things to Remember: 1. When data are presented on positive or negative LMIAs, the decision date is used to allocate which quarter the data falls into. However, when data are presented on when LMIAs are requested, it is based on the date when the LMIA is received by ESDC. 2. As of the publication of 2022Q1- 2023Q4 data (published in April 2024) and going forward, all LMIAs in support of 'Permanent Residence (PR) Only' are included in TFWP statistics, unless indicated otherwise. All quarterly data in this report includes PR Only LMIAs. Dual-intent LMIAs and corresponding positions are included under their respective TFWP stream (e.g., low-wage, high-wage, etc.) This may impact program reporting over time. 3. Attention should be given for data that are presented by ‘Unique Employers’ when it comes to manipulating the data within that specific table. One employer could be counted towards multiple groups if they have multiple positive LMIAs across categories such as program stream, province or territory, or economic region. For example, an employer could request TFWs for two different business locations, and this employer would be counted in the statistics of both economic regions. As such, the sum of the rows within these ‘Unique Employer’ tables will not add up to the aggregate total.

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

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 Alberta. The dataset can be utilized to gain insights into gender-based income distribution within the Alberta population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Alberta, among individuals aged 15 years and older with income, there were 111 men and 107 women in the workforce. Among them, 38 men were engaged in full-time, year-round employment, while 59 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 18.64% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 2.63% of men in full-time roles earned incomes exceeding $100,000, while 3.39% 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 Alberta median household income by race. You can refer the same here

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 Alberta. 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 Alberta, the median income for all workers aged 15 years and older, regardless of work hours, was $49,563 for males and $29,167 for females.

These income figures highlight a substantial gender-based income gap in Alberta. Women, regardless of work hours, earn 59 cents for each dollar earned by men. This significant gender pay gap, approximately 41%, underscores concerning gender-based income inequality in the city of Alberta.

- Full-time workers, aged 15 years and older: In Alberta, among full-time, year-round workers aged 15 years and older, males earned a median income of $49,250, while females earned $36,250, leading to a 26% gender pay gap among full-time workers. This illustrates that women earn 74 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Alberta.

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 Alberta median household income by race. You can refer the same here

The statistic shows the gross domestic product (GDP) in Canada from 1987 to 2023, with projections up until 2029. In 2023, the gross domestic product in Canada was around 2.14 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.

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 Alberta township. 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 Alberta township, the median income for all workers aged 15 years and older, regardless of work hours, was $53,036 for males and $35,893 for females.

These income figures highlight a substantial gender-based income gap in Alberta township. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the township of Alberta township.

- Full-time workers, aged 15 years and older: In Alberta township, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,083, while females earned $47,604, leading to a 23% gender pay gap among full-time workers. This illustrates that women earn 77 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Alberta township.

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 Alberta township median household income by race. You can refer the same here

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.

In 2023, the number of employees of Sodexo AB reached 3,836 in Sweden. Over the documented period, the employee numbers slightly declined.

The median employment income of tax filers in Alberta increased by 1,450 dollars (+3.21 percent) in 2022. Therefore, the median in Alberta reached a peak in 2022 with 46,610 dollars. Find further statistics regarding median employment income of tax filers (Ontario), median employment income of tax filers (Prince Edward Island), and median employment income of tax filers (Northwest Territories).