82501 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 82501 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 8,972, 100% | 288,257 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,893, 76.83%, see rank | 76.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,169, 13.03%, see rank | 11.19% | 9.59% |
| Public Transportation | 154, 1.72%, see rank | 1.61% | 5.06% |
| Walked | 180, 2.01%, see rank | 3.75% | 2.78% |
| Other Means | 126, 1.40%, see rank | 2.19% | 1.79% |
| Worked at Home | 450, 5.02%, see rank | 4.65% | 4.37% |
Mean Travel Time to Work, see rank| 82501 Zip Code | 16.2 minutes |
| Wyoming | 17.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 82501 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 9,161, 100% | 285,577 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,585, 71.88%, see rank | 76.16% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,588, 17.33%, see rank | 11.50% | 10.03% |
| Public Transportation | 147, 1.60%, see rank | 1.65% | 4.98% |
| Walked | 205, 2.24%, see rank | 3.63% | 2.82% |
| Other Means | 129, 1.41%, see rank | 2.06% | 1.76% |
| Worked at Home | 507, 5.53%, see rank | 5.00% | 4.27% |
Mean Travel Time to Work, see rank| 82501 Zip Code | 17.1 minutes |
| Wyoming | 17.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 82501 Zip Code | Wyoming | U.S. |
| Workers 16 Years and Over | 7,347, 100% | 239,809 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,615, 76.43%, see rank | 75.37% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,060, 14.43%, see rank | 13.19% | 12.19% |
| Public Transportation | 9, 0.12%, see rank | 1.43% | 4.73% |
| Walked | 413, 5.62%, see rank | 4.40% | 2.93% |
| Other Means | 100, 1.36%, see rank | 1.33% | 1.19% |
| Worked at Home | 150, 2.04%, see rank | 4.29% | 3.26% |
Mean Travel Time to Work, see rank| 82501 Zip Code | 15.0 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.
