82718 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 82718 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 13,525, 100% | 288,257 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,043, 81.65%, see rank | 76.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,330, 9.83%, see rank | 11.19% | 9.59% |
| Public Transportation | 251, 1.86%, see rank | 1.61% | 5.06% |
| Walked | 234, 1.73%, see rank | 3.75% | 2.78% |
| Other Means | 370, 2.74%, see rank | 2.19% | 1.79% |
| Worked at Home | 297, 2.20%, see rank | 4.65% | 4.37% |
Mean Travel Time to Work, see rank| 82718 Zip Code | 18.7 minutes |
| Wyoming | 17.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 82718 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 13,031, 100% | 285,577 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,810, 82.96%, see rank | 76.16% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,123, 8.62%, see rank | 11.50% | 10.03% |
| Public Transportation | 223, 1.71%, see rank | 1.65% | 4.98% |
| Walked | 198, 1.52%, see rank | 3.63% | 2.82% |
| Other Means | 294, 2.26%, see rank | 2.06% | 1.76% |
| Worked at Home | 383, 2.94%, see rank | 5.00% | 4.27% |
Mean Travel Time to Work, see rank| 82718 Zip Code | 18.1 minutes |
| Wyoming | 17.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 82718 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 8,508, 100% | 239,809 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,721, 79.00%, see rank | 75.37% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,030, 12.11%, see rank | 13.19% | 12.19% |
| Public Transportation | 372, 4.37%, see rank | 1.43% | 4.73% |
| Walked | 134, 1.57%, see rank | 4.40% | 2.93% |
| Other Means | 74, 0.87%, see rank | 1.33% | 1.19% |
| Worked at Home | 177, 2.08%, see rank | 4.29% | 3.26% |
Mean Travel Time to Work, see rank| 82718 Zip Code | 18.8 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.
