80751 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80751 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,694, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,782, 78.01%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,236, 14.22%, see rank | 9.83% | 9.59% |
| Public Transportation | 21, 0.24%, see rank | 3.24% | 5.06% |
| Walked | 292, 3.36%, see rank | 3.00% | 2.78% |
| Other Means | 50, 0.58%, see rank | 2.42% | 1.79% |
| Worked at Home | 313, 3.60%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80751 Zip Code | 14.9 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80751 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,850, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,812, 76.97%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,043, 11.79%, see rank | 10.16% | 10.03% |
| Public Transportation | 17, 0.19%, see rank | 3.25% | 4.98% |
| Walked | 377, 4.26%, see rank | 3.06% | 2.82% |
| Other Means | 232, 2.62%, see rank | 2.47% | 1.76% |
| Worked at Home | 369, 4.17%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80751 Zip Code | 13.7 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80751 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 7,232, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,648, 78.10%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 967, 13.37%, see rank | 12.24% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 3.17% | 4.73% |
| Walked | 260, 3.60%, see rank | 3.00% | 2.93% |
| Other Means | 74, 1.02%, see rank | 1.54% | 1.19% |
| Worked at Home | 283, 3.91%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80751 Zip Code | 12.8 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.
