82001 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 82001 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 18,422, 100% | 288,257 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,170, 82.35%, see rank | 76.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,791, 9.72%, see rank | 11.19% | 9.59% |
| Public Transportation | 83, 0.45%, see rank | 1.61% | 5.06% |
| Walked | 562, 3.05%, see rank | 3.75% | 2.78% |
| Other Means | 380, 2.06%, see rank | 2.19% | 1.79% |
| Worked at Home | 436, 2.37%, see rank | 4.65% | 4.37% |
Mean Travel Time to Work, see rank| 82001 Zip Code | 12.5 minutes |
| Wyoming | 17.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 82001 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 18,156, 100% | 285,577 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,181, 83.61%, see rank | 76.16% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,628, 8.97%, see rank | 11.50% | 10.03% |
| Public Transportation | 65, 0.36%, see rank | 1.65% | 4.98% |
| Walked | 470, 2.59%, see rank | 3.63% | 2.82% |
| Other Means | 425, 2.34%, see rank | 2.06% | 1.76% |
| Worked at Home | 387, 2.13%, see rank | 5.00% | 4.27% |
Mean Travel Time to Work, see rank| 82001 Zip Code | 12.3 minutes |
| Wyoming | 17.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 82001 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 16,311, 100% | 239,809 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,188, 80.85%, see rank | 75.37% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,018, 12.37%, see rank | 13.19% | 12.19% |
| Public Transportation | 41, 0.25%, see rank | 1.43% | 4.73% |
| Walked | 458, 2.81%, see rank | 4.40% | 2.93% |
| Other Means | 191, 1.17%, see rank | 1.33% | 1.19% |
| Worked at Home | 415, 2.54%, see rank | 4.29% | 3.26% |
Mean Travel Time to Work, see rank| 82001 Zip Code | 13.9 minutes |
| Wyoming | 16.7 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.
