Workforce Snapshot

The following information provides a snapshot of demographics for the State of Colorado workforce from September, 2019.
Printable Snapshot PDF.

For further exploration into the workforce data, please see the full reports listed on the Division of Human Resources Workforce Report page.

Employee Count


Average Years Of Service


Classified Non-Classified
30,509 9,361
Females Males
20,656 19,188

Average Age


Age Distribution
Traditionalists 0.4%
Boomers 27.2%
Gen Xers 41.4%
Millenials 31%

Average Annual Salary


Average Salary

Average salary and employee count by years of service.

Employee Distribution by Region

A map of Colorado divided by county. The northwest quadrant of the state has 15.6% of the workforce, the northeast quadrant has 6.1%, and the central metro area has 47.8%. The southwest quadrant has 11.9% and the southeast quadrant has 17.3% of the workforce.

Benefits Enrollment Plans by Tier

Plan Individual Employee Employee + Spouse Employee + Children Employee + Family Total
KP - COPAY 5,586 1,338 2,468 1,823 11,215
KP - HDHP 863 162 220 320 1,565
KP Subtotal 6,449 1,500 2,688 2,143 12,780
UHC - COPAY 2,925 927 1,060 900 5,812
UHC - HDHP 6,169 1,669 1,916 2,814 12,568
UHC Subtotal 9,094 2,596 2,976 3,714 18,380
Total Active 15,543 4,096 5,664 5,857 31,160



  • All figures are based on statewide employee workforce data.
  • 0.1% of invalid Age Distribution data is not displayed.
  • 1.3% of invalid Employee Distribution by Region data is not displayed.
  • 0.1% of invalid Gender Distribution data is not displayed.



Please note: The information provided is a snapshot on the last day of the month indicated. Many of these numbers change every day as employees are hired, separate, and change their benefits enrollment, so the reports on this page provide estimates for the month. The information provided excludes non-classified higher education institutions, as individual data for those employees is not provided to the HR Analytics Unit. Please also note the month the data represents, as the table and the links may account for different time periods, due to processing time for data sources.