In October 2018, a survey was conducted through the UtahJS slack channel around the topics of pay and education. This webpage presents some analysis of the results, as well as links to the raw data.
209 people responeded to the survey. They described themeselves in the following ways:
This years survey allowed respondents to choose multiple job titles, like Senior Developer and Team Lead, so the sum of job titles is greater than the total number of respondents.
The following shows the years of experience for the self-reported titles:
Other Job titles included: Developer Writer, QA, Consultant, and Product Owner.
|Prefer not to say||4|
Genders reported were "Male", "Female", "Not Sure", and "Transgender Woman"
This year several respondents reported no income (unemployed). Including their data, the salary breakdown is:
Excluding those data points (for all responses that are employed), the breakdown is:
The rest of the analysis will be based on respondents that are employed:
The following shows the all salary and experience data points, colored by gender
X Values have been slightly adjusted in the following chart to keep some data points from hiding others
This chart attempts to show the comparison between developers of a similar level who are in leadership positions or not and their salaries.
This years survey allowed respondents to select multiple educations types, for example: Bootcamp and Some College. The sum of education types will be larger than the number of total repondents.
The following chart shows each salary/experience data point, but grouped by education. This gives a clearer picture than the salary by education box-and-whisker chart, because it is possible that experience has a larger effect on salary than education type.
Of the respondents that have completed a college degree, what type were they?
This list has a long tail, and a chart was not a good way to visualize the data:
|Agriculture & Resource Economics||1|
This years survey asked people which counties they lived and worked in.
The following counties had only one respondent each, and are not charted (insufficent data): Tooele and Emory
The following chart shows salaries based on where people work:
The following chart shows salaries based on where people live:
Do respondents live and work in the same county?
This survey asked about compensation not included in their net salary. This type of salary may not occur reguraly, and can be difficult to quantify (like stocks or hiring bonuses).
|Received Cash Bonus||151||72%|
The 2017 survey results are located at https://mdjasper.github.io/utah-js-pay-data/
What was most interesting to you? What other insights might there be? Please dicuss: