80232 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80232 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 10,960, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,827, 80.54%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,085, 9.90%, see rank | 9.83% | 9.59% |
| Public Transportation | 298, 2.72%, see rank | 3.24% | 5.06% |
| Walked | 95, 0.87%, see rank | 3.00% | 2.78% |
| Other Means | 321, 2.93%, see rank | 2.42% | 1.79% |
| Worked at Home | 334, 3.05%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80232 Zip Code | 27.7 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80232 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 10,312, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,995, 77.53%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,134, 11.00%, see rank | 10.16% | 10.03% |
| Public Transportation | 309, 3.00%, see rank | 3.25% | 4.98% |
| Walked | 131, 1.27%, see rank | 3.06% | 2.82% |
| Other Means | 353, 3.42%, see rank | 2.47% | 1.76% |
| Worked at Home | 390, 3.78%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80232 Zip Code | 26.4 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80232 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 11,476, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,173, 79.93%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,358, 11.83%, see rank | 12.24% | 12.19% |
| Public Transportation | 399, 3.48%, see rank | 3.17% | 4.73% |
| Walked | 109, 0.95%, see rank | 3.00% | 2.93% |
| Other Means | 93, 0.81%, see rank | 1.54% | 1.19% |
| Worked at Home | 344, 3.00%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80232 Zip Code | 25.9 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.
