80107 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80107 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 6,165, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,792, 77.73%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 553, 8.97%, see rank | 9.83% | 9.59% |
| Public Transportation | 12, 0.19%, see rank | 3.24% | 5.06% |
| Walked | 62, 1.01%, see rank | 3.00% | 2.78% |
| Other Means | 89, 1.44%, see rank | 2.42% | 1.79% |
| Worked at Home | 657, 10.66%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80107 Zip Code | 41.3 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80107 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 5,958, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,404, 73.92%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 622, 10.44%, see rank | 10.16% | 10.03% |
| Public Transportation | 20, 0.34%, see rank | 3.25% | 4.98% |
| Walked | 54, 0.91%, see rank | 3.06% | 2.82% |
| Other Means | 73, 1.23%, see rank | 2.47% | 1.76% |
| Worked at Home | 785, 13.18%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80107 Zip Code | 41.7 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80107 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 5,920, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,598, 77.67%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 803, 13.56%, see rank | 12.24% | 12.19% |
| Public Transportation | 95, 1.60%, see rank | 3.17% | 4.73% |
| Walked | 101, 1.71%, see rank | 3.00% | 2.93% |
| Other Means | 39, 0.66%, see rank | 1.54% | 1.19% |
| Worked at Home | 284, 4.80%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80107 Zip Code | 42.5 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.
