80223 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 80223 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,576, 100% | 2,544,021 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,587, 65.15%, see rank | 74.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,163, 13.56%, see rank | 9.83% | 9.59% |
| Public Transportation | 900, 10.49%, see rank | 3.24% | 5.06% |
| Walked | 95, 1.11%, see rank | 3.00% | 2.78% |
| Other Means | 543, 6.33%, see rank | 2.42% | 1.79% |
| Worked at Home | 288, 3.36%, see rank | 6.54% | 4.37% |
Mean Travel Time to Work, see rank| 80223 Zip Code | 26.2 minutes |
| Colorado | 24.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 80223 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,021, 100% | 2,481,269 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,513, 68.73%, see rank | 74.59% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,078, 13.44%, see rank | 10.16% | 10.03% |
| Public Transportation | 621, 7.74%, see rank | 3.25% | 4.98% |
| Walked | 70, 0.87%, see rank | 3.06% | 2.82% |
| Other Means | 375, 4.68%, see rank | 2.47% | 1.76% |
| Worked at Home | 364, 4.54%, see rank | 6.46% | 4.27% |
Mean Travel Time to Work, see rank| 80223 Zip Code | 26.0 minutes |
| Colorado | 24.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 80223 Zip Code | Colorado | U.S. |
| Workers 16 Years and Over | 8,130, 100% | 2,191,626 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,931, 60.65%, see rank | 75.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,846, 22.71%, see rank | 12.24% | 12.19% |
| Public Transportation | 623, 7.66%, see rank | 3.17% | 4.73% |
| Walked | 318, 3.91%, see rank | 3.00% | 2.93% |
| Other Means | 159, 1.96%, see rank | 1.54% | 1.19% |
| Worked at Home | 253, 3.11%, see rank | 4.93% | 3.26% |
Mean Travel Time to Work, see rank| 80223 Zip Code | 24.8 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.
