Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, gender, and age group.

Detailed labour market outcomes by educational characteristics, including detailed occupation, hours and weeks worked and employment income.

Forecast: Wages and Salaries in Civil Engineering in Canada 2022 - 2026 Discover more data with ReportLinker!

The distribution of foreign fee income by North American Industry Classification System (NAICS), for all members under engineering services (NAICS 54133), annual (percent), for five years of data.

Forecast: Gross Income of Civil Engineering in Canada 2022 - 2026 Discover more data with ReportLinker!

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of engineering services (NAICS 54133), annual, for five years of data.

Characteristics and median employment income of postsecondary graduates five years after graduation, by educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2016 - STEM (science, technology, engineering and mathematics and computer sciences) and BHASE (business, humanities, health, arts, social science and education) groupings), gender, age group and status of student in Canada (cross-sectional analysis).

The distribution of foreign fee income by North American Industry Classification System (NAICS), for all members under engineering services (NAICS 54133), annual (percent), for five years of data.

This data will be updated when further major updates occur, either as a result of collective bargaining or updates to the City’s overall salary structure resulting from the Job Architecture System Project.

This dataset is a listing of all active City of Edmonton job code titles and salary ranges. The working title may be different.

Data Owner: Compensation and Classification, Employee Services

Employment income (in 2019 and 2020) by detailed major field of study and highest certificate, diploma or degree, including work activity (full time full year, part time full year, or part year).

This dataset includes remuneration and expenses from employees earning over $75,000/year. NoteAmounts are in Canadian dollars. Asterisk (*) next to the employee name in Year 2012 and 2013 indicates exempt employee who received optional lump sum gratuity and vacation payouts. Amounts are included in the remuneration. Data currencyThe data on this site is scheduled to be updated annually. Data accuracySome expenses may not reconcile within the same reporting period. The published Statement of financial information remains the authoritative source.Based on information recorded in the source system as at December 31st for each reporting year and does not include changes during the year. Websites for further informationFinancial reports and information

Characteristics and median employment income of postsecondary graduates two years after graduation, by educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2016 - STEM (science, technology, engineering and mathematics and computer sciences) and BHASE (business, humanities, health, arts, social science and education) groupings), gender, age group and status of student in Canada (cross-sectional analysis).

Characteristics and median employment income of postsecondary graduates ten years after graduation, by educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2016 - Cannabis STEM (science, technology, engineering and mathematics and computer sciences) and BHASE (business, humanities, health, arts, social science and education) groupings), gender, age group and status of student in Canada (cross-sectional analysis).