How to Find “Hot Jobs” in Your Region

What are the growing, high-paying jobs in your region? This tutorial (see video at end of page) will give you the framework for finding jobs with a strong local outlook. We’ll focus on wages and growth here, but you can use this workflow with many other variables to fit your needs. In this example we’ll find hot jobs in the Ontario area.

1. From the home page, click Occupations on the left side menu
2. Click Occupation Table
3. Under “Select Occupations” click All Available
4. Under “Select a Region” enter your region (we’ll use Ontario here)
5. Under “Select the data you would like to display” select Jobs & Growth and Wages
6. Click Run

You now have a table listing all occupations, with Ontario’s specific job counts and wages. Now we’ll sort and filter this list to bring high wage, high growth jobs to the top.

1. In the lefthand sidebar options under “Timeframe,” select 2016 – 2019 (or whatever years you’d like to view the data for)
2. Under “Class of Worker” select Employees
3. Scroll to the bottom of the table to find the Ontario average 2016-2019% Change and Average Hourly Earnings. In this case the regional average growth is 7% and the regional average earnings are $27.17/hr. We’ll focus on jobs that are growing faster and paying higher than average.
4. Click Filter at the top of the table
5. In the first menu bar select Avg. Hourly Earnings
6. In the second menu, select greater than or equal to
7. In the last menu, enter 27 (for $27.00/hr)
8. Click +Add Filter, and repeat the above steps to add the following filters:
   1. AND >> 2016 – 2019 % Change >> greater than or equal to >> 7
   2. AND >> 2016 Jobs >> greater than or equal to >> 200 (this is to weed out smaller occupations that have added a handful of jobs and therefore have a high Change %)
9. Click Apply

You now have a list of occupations that pay above average, are growing faster than average, and employ at least 200 people. You can further refine the list with more filters, or sort the results by clicking on the different column headers.