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2017 Salary Survey Results

Here are the results of the 2017 GuildSomm Salary Survey! Thanks to everyone who participated. The numbers are based on a median calculations of over 1,000 online survey responses of GuildSomm members. We only publish categories that we think we have a sufficient data to be statistically significant, and the majority of responses are from people working in the United States. We currently include a breakdown by CMS certification level and hope to include results from other certification categories in the future as we increase our confidence in that data.

If you'd like to compare against previous years, here are the 2016, 2015, and 2014 results.

Parents
  • Interesting to still see a gap in pay amongst men and women - was there any statistically significant evidence one way or the other regarding pay and different levels of compensation for men and women?  Especially with among those with similar certs, training, experience, etc. 

Reply
  • Interesting to still see a gap in pay amongst men and women - was there any statistically significant evidence one way or the other regarding pay and different levels of compensation for men and women?  Especially with among those with similar certs, training, experience, etc. 

Children
  • Considering the huge jump in pay for Master vs Advanced and the fact that only about 15% of MSs are women, that alone could be causing the pay gap.

  • The gender wage gap persists and is real. To assume right away that it must be justifiable because women are somehow less qualified does nothing to close the gap.

  • I've looked at the data and this is consistent among all categories (except the MS). The gap is highest at the Advanced level an reversed at the MS level. For all three years I have tracked this, women with an MS diploma have reported higher salaries then the men. However this is a very limited data set and it is probably attributed to that so we don't publish it.

  • My apologies, I was not assuming that it was justifiable - I was curious if men and women, holding experience and positions constant, still show a wage gap or (if there is a statistically negligible gap), if there was other data showing some data related to the disparity, such as regionality (if more women were employed in regions with lower real wage, that would help explain the difference).

    The gender wage gap persists, and is real.  The more data we have to call out the disparity, the easier it is to address, IMO.