80002 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80002 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 9,754, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,792, 79.89%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 928, 9.51%, see rank | 9.83% | 9.59% |
| Public Transportation | 318, 3.26%, see rank | 3.24% | 5.06% |
| Walked | 175, 1.79%, see rank | 3.00% | 2.78% |
| Other Means | 168, 1.72%, see rank | 2.42% | 1.79% |
| Worked at Home | 373, 3.82%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80002 Zip Code | 24.6 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80002 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 9,954, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,662, 76.97%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,047, 10.52%, see rank | 10.16% | 10.03% |
| Public Transportation | 383, 3.85%, see rank | 3.25% | 4.98% |
| Walked | 186, 1.87%, see rank | 3.06% | 2.82% |
| Other Means | 241, 2.42%, see rank | 2.47% | 1.76% |
| Worked at Home | 435, 4.37%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80002 Zip Code | 23.1 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80002 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,459, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,716, 79.39%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 853, 10.08%, see rank | 12.24% | 12.19% |
| Public Transportation | 273, 3.23%, see rank | 3.17% | 4.73% |
| Walked | 169, 2.00%, see rank | 3.00% | 2.93% |
| Other Means | 66, 0.78%, see rank | 1.54% | 1.19% |
| Worked at Home | 382, 4.52%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80002 Zip Code | 24.5 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.
