53185 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53185 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 9,580, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,326, 86.91%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 746, 7.79%, see rank | 8.62% | 9.59% |
| Public Transportation | 42, 0.44%, see rank | 1.84% | 5.06% |
| Walked | 112, 1.17%, see rank | 3.33% | 2.78% |
| Other Means | 89, 0.93%, see rank | 1.70% | 1.79% |
| Worked at Home | 265, 2.77%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53185 Zip Code | 30.0 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53185 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 9,783, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,600, 87.91%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 751, 7.68%, see rank | 9.20% | 10.03% |
| Public Transportation | 36, 0.37%, see rank | 1.81% | 4.98% |
| Walked | 83, 0.85%, see rank | 3.31% | 2.82% |
| Other Means | 95, 0.97%, see rank | 1.72% | 1.76% |
| Worked at Home | 218, 2.23%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53185 Zip Code | 29.0 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53185 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 9,236, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,092, 87.61%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 759, 8.22%, see rank | 9.94% | 12.19% |
| Public Transportation | 25, 0.27%, see rank | 1.98% | 4.73% |
| Walked | 71, 0.77%, see rank | 3.73% | 2.93% |
| Other Means | 22, 0.24%, see rank | 0.94% | 1.19% |
| Worked at Home | 267, 2.89%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53185 Zip Code | 29.1 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.
