54476 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 54476 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 9,865, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,499, 86.15%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 878, 8.90%, see rank | 8.62% | 9.59% |
| Public Transportation | 44, 0.45%, see rank | 1.84% | 5.06% |
| Walked | 33, 0.33%, see rank | 3.33% | 2.78% |
| Other Means | 195, 1.98%, see rank | 1.70% | 1.79% |
| Worked at Home | 216, 2.19%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 54476 Zip Code | 16.8 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 54476 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 9,803, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,265, 84.31%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 951, 9.70%, see rank | 9.20% | 10.03% |
| Public Transportation | 12, 0.12%, see rank | 1.81% | 4.98% |
| Walked | 96, 0.98%, see rank | 3.31% | 2.82% |
| Other Means | 248, 2.53%, see rank | 1.72% | 1.76% |
| Worked at Home | 231, 2.36%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 54476 Zip Code | 16.4 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 54476 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 8,423, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,252, 86.10%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 738, 8.76%, see rank | 9.94% | 12.19% |
| Public Transportation | 92, 1.09%, see rank | 1.98% | 4.73% |
| Walked | 90, 1.07%, see rank | 3.73% | 2.93% |
| Other Means | 41, 0.49%, see rank | 0.94% | 1.19% |
| Worked at Home | 210, 2.49%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 54476 Zip Code | 15.9 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.
