54806 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 54806 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 5,368, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,152, 77.35%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 514, 9.58%, see rank | 8.62% | 9.59% |
| Public Transportation | 37, 0.69%, see rank | 1.84% | 5.06% |
| Walked | 309, 5.76%, see rank | 3.33% | 2.78% |
| Other Means | 116, 2.16%, see rank | 1.70% | 1.79% |
| Worked at Home | 240, 4.47%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 54806 Zip Code | 15.5 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 54806 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 5,428, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,065, 74.89%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 564, 10.39%, see rank | 9.20% | 10.03% |
| Public Transportation | 37, 0.68%, see rank | 1.81% | 4.98% |
| Walked | 385, 7.09%, see rank | 3.31% | 2.82% |
| Other Means | 151, 2.78%, see rank | 1.72% | 1.76% |
| Worked at Home | 226, 4.16%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 54806 Zip Code | 15.1 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 54806 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 5,511, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,100, 74.40%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 565, 10.25%, see rank | 9.94% | 12.19% |
| Public Transportation | 14, 0.25%, see rank | 1.98% | 4.73% |
| Walked | 505, 9.16%, see rank | 3.73% | 2.93% |
| Other Means | 84, 1.52%, see rank | 0.94% | 1.19% |
| Worked at Home | 243, 4.41%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 54806 Zip Code | 12.2 minutes |
| Wisconsin | 20.1 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.
