53593 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53593 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 11,315, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,388, 82.97%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 807, 7.13%, see rank | 8.62% | 9.59% |
| Public Transportation | 166, 1.47%, see rank | 1.84% | 5.06% |
| Walked | 155, 1.37%, see rank | 3.33% | 2.78% |
| Other Means | 190, 1.68%, see rank | 1.70% | 1.79% |
| Worked at Home | 609, 5.38%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53593 Zip Code | 21.7 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53593 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 10,661, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,694, 81.55%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 920, 8.63%, see rank | 9.20% | 10.03% |
| Public Transportation | 82, 0.77%, see rank | 1.81% | 4.98% |
| Walked | 113, 1.06%, see rank | 3.31% | 2.82% |
| Other Means | 230, 2.16%, see rank | 1.72% | 1.76% |
| Worked at Home | 622, 5.83%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53593 Zip Code | 21.1 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53593 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 6,890, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,946, 86.30%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 381, 5.53%, see rank | 9.94% | 12.19% |
| Public Transportation | 32, 0.46%, see rank | 1.98% | 4.73% |
| Walked | 116, 1.68%, see rank | 3.73% | 2.93% |
| Other Means | 13, 0.19%, see rank | 0.94% | 1.19% |
| Worked at Home | 402, 5.83%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53593 Zip Code | 19.0 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.
