81650 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 81650 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 6,163, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,104, 66.59%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,197, 19.42%, see rank | 9.83% | 9.59% |
| Public Transportation | 150, 2.43%, see rank | 3.24% | 5.06% |
| Walked | 240, 3.89%, see rank | 3.00% | 2.78% |
| Other Means | 35, 0.57%, see rank | 2.42% | 1.79% |
| Worked at Home | 437, 7.09%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 81650 Zip Code | 27.8 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 81650 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 6,530, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,233, 64.82%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,073, 16.43%, see rank | 10.16% | 10.03% |
| Public Transportation | 157, 2.40%, see rank | 3.25% | 4.98% |
| Walked | 399, 6.11%, see rank | 3.06% | 2.82% |
| Other Means | 126, 1.93%, see rank | 2.47% | 1.76% |
| Worked at Home | 542, 8.30%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 81650 Zip Code | 23.6 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 81650 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 5,110, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,673, 71.88%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,009, 19.75%, see rank | 12.24% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 3.17% | 4.73% |
| Walked | 245, 4.79%, see rank | 3.00% | 2.93% |
| Other Means | 20, 0.39%, see rank | 1.54% | 1.19% |
| Worked at Home | 163, 3.19%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 81650 Zip Code | 31.5 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.
