80237 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80237 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 11,507, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,909, 77.42%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,194, 10.38%, see rank | 9.83% | 9.59% |
| Public Transportation | 545, 4.74%, see rank | 3.24% | 5.06% |
| Walked | 173, 1.50%, see rank | 3.00% | 2.78% |
| Other Means | 166, 1.44%, see rank | 2.42% | 1.79% |
| Worked at Home | 520, 4.52%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80237 Zip Code | 21.7 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80237 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 10,420, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,071, 77.46%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 730, 7.01%, see rank | 10.16% | 10.03% |
| Public Transportation | 701, 6.73%, see rank | 3.25% | 4.98% |
| Walked | 284, 2.73%, see rank | 3.06% | 2.82% |
| Other Means | 157, 1.51%, see rank | 2.47% | 1.76% |
| Worked at Home | 477, 4.58%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80237 Zip Code | 23.2 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80237 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 9,814, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,661, 78.06%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,054, 10.74%, see rank | 12.24% | 12.19% |
| Public Transportation | 339, 3.45%, see rank | 3.17% | 4.73% |
| Walked | 158, 1.61%, see rank | 3.00% | 2.93% |
| Other Means | 154, 1.57%, see rank | 1.54% | 1.19% |
| Worked at Home | 448, 4.56%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80237 Zip Code | 20.9 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.
