81623 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 81623 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 7,777, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,546, 58.45%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,135, 14.59%, see rank | 9.83% | 9.59% |
| Public Transportation | 773, 9.94%, see rank | 3.24% | 5.06% |
| Walked | 324, 4.17%, see rank | 3.00% | 2.78% |
| Other Means | 437, 5.62%, see rank | 2.42% | 1.79% |
| Worked at Home | 562, 7.23%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 81623 Zip Code | 29.1 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 81623 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,062, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,783, 59.33%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,267, 15.72%, see rank | 10.16% | 10.03% |
| Public Transportation | 697, 8.65%, see rank | 3.25% | 4.98% |
| Walked | 380, 4.71%, see rank | 3.06% | 2.82% |
| Other Means | 362, 4.49%, see rank | 2.47% | 1.76% |
| Worked at Home | 573, 7.11%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 81623 Zip Code | 30.9 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 81623 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 7,533, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,091, 54.31%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,769, 23.48%, see rank | 12.24% | 12.19% |
| Public Transportation | 747, 9.92%, see rank | 3.17% | 4.73% |
| Walked | 315, 4.18%, see rank | 3.00% | 2.93% |
| Other Means | 99, 1.31%, see rank | 1.54% | 1.19% |
| Worked at Home | 512, 6.80%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 81623 Zip Code | 34.0 minutes |
| Colorado | 23.8 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
