53532 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53532 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 7,775, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,471, 83.23%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 579, 7.45%, see rank | 8.62% | 9.59% |
| Public Transportation | 8, 0.10%, see rank | 1.84% | 5.06% |
| Walked | 178, 2.29%, see rank | 3.33% | 2.78% |
| Other Means | 122, 1.57%, see rank | 1.70% | 1.79% |
| Worked at Home | 417, 5.36%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53532 Zip Code | 22.9 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53532 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 7,684, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,630, 86.28%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 502, 6.53%, see rank | 9.20% | 10.03% |
| Public Transportation | 9, 0.12%, see rank | 1.81% | 4.98% |
| Walked | 194, 2.52%, see rank | 3.31% | 2.82% |
| Other Means | 78, 1.02%, see rank | 1.72% | 1.76% |
| Worked at Home | 271, 3.53%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53532 Zip Code | 23.1 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53532 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 6,605, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,537, 83.83%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 545, 8.25%, see rank | 9.94% | 12.19% |
| Public Transportation | 16, 0.24%, see rank | 1.98% | 4.73% |
| Walked | 51, 0.77%, see rank | 3.73% | 2.93% |
| Other Means | 24, 0.36%, see rank | 0.94% | 1.19% |
| Worked at Home | 432, 6.54%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53532 Zip Code | 23.6 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.
