80033 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80033 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 11,950, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,083, 76.01%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 994, 8.32%, see rank | 9.83% | 9.59% |
| Public Transportation | 449, 3.76%, see rank | 3.24% | 5.06% |
| Walked | 335, 2.80%, see rank | 3.00% | 2.78% |
| Other Means | 326, 2.73%, see rank | 2.42% | 1.79% |
| Worked at Home | 763, 6.38%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80033 Zip Code | 24.7 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80033 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 11,777, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,059, 76.92%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,011, 8.58%, see rank | 10.16% | 10.03% |
| Public Transportation | 294, 2.50%, see rank | 3.25% | 4.98% |
| Walked | 279, 2.37%, see rank | 3.06% | 2.82% |
| Other Means | 271, 2.30%, see rank | 2.47% | 1.76% |
| Worked at Home | 863, 7.33%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80033 Zip Code | 24.0 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80033 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 12,215, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,386, 76.84%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,432, 11.72%, see rank | 12.24% | 12.19% |
| Public Transportation | 498, 4.08%, see rank | 3.17% | 4.73% |
| Walked | 263, 2.15%, see rank | 3.00% | 2.93% |
| Other Means | 125, 1.02%, see rank | 1.54% | 1.19% |
| Worked at Home | 511, 4.18%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80033 Zip Code | 23.9 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.
