80235 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80235 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 3,788, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,976, 78.56%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 362, 9.56%, see rank | 9.83% | 9.59% |
| Public Transportation | 112, 2.96%, see rank | 3.24% | 5.06% |
| Walked | 77, 2.03%, see rank | 3.00% | 2.78% |
| Other Means | 15, 0.40%, see rank | 2.42% | 1.79% |
| Worked at Home | 246, 6.49%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80235 Zip Code | 27.3 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80235 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 3,967, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,052, 76.93%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 410, 10.34%, see rank | 10.16% | 10.03% |
| Public Transportation | 88, 2.22%, see rank | 3.25% | 4.98% |
| Walked | 79, 1.99%, see rank | 3.06% | 2.82% |
| Other Means | 154, 3.88%, see rank | 2.47% | 1.76% |
| Worked at Home | 184, 4.64%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80235 Zip Code | 24.4 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80235 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 4,022, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,133, 77.90%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 449, 11.16%, see rank | 12.24% | 12.19% |
| Public Transportation | 173, 4.30%, see rank | 3.17% | 4.73% |
| Walked | 96, 2.39%, see rank | 3.00% | 2.93% |
| Other Means | 5, 0.12%, see rank | 1.54% | 1.19% |
| Worked at Home | 166, 4.13%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80235 Zip Code | 27.2 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.
