80120 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80120 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 14,930, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,459, 76.75%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 956, 6.40%, see rank | 9.83% | 9.59% |
| Public Transportation | 950, 6.36%, see rank | 3.24% | 5.06% |
| Walked | 324, 2.17%, see rank | 3.00% | 2.78% |
| Other Means | 348, 2.33%, see rank | 2.42% | 1.79% |
| Worked at Home | 893, 5.98%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80120 Zip Code | 24.3 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80120 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 13,514, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,314, 76.32%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 888, 6.57%, see rank | 10.16% | 10.03% |
| Public Transportation | 874, 6.47%, see rank | 3.25% | 4.98% |
| Walked | 347, 2.57%, see rank | 3.06% | 2.82% |
| Other Means | 274, 2.03%, see rank | 2.47% | 1.76% |
| Worked at Home | 817, 6.05%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80120 Zip Code | 24.6 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80120 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 15,179, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,851, 78.07%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,496, 9.86%, see rank | 12.24% | 12.19% |
| Public Transportation | 521, 3.43%, see rank | 3.17% | 4.73% |
| Walked | 309, 2.04%, see rank | 3.00% | 2.93% |
| Other Means | 132, 0.87%, see rank | 1.54% | 1.19% |
| Worked at Home | 870, 5.73%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80120 Zip Code | 24.4 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.
