53150 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53150 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 14,000, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,379, 88.42%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 867, 6.19%, see rank | 8.62% | 9.59% |
| Public Transportation | 49, 0.35%, see rank | 1.84% | 5.06% |
| Walked | 101, 0.72%, see rank | 3.33% | 2.78% |
| Other Means | 75, 0.54%, see rank | 1.70% | 1.79% |
| Worked at Home | 529, 3.78%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53150 Zip Code | 25.6 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53150 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 13,378, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,848, 88.56%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 933, 6.97%, see rank | 9.20% | 10.03% |
| Public Transportation | 95, 0.71%, see rank | 1.81% | 4.98% |
| Walked | 100, 0.75%, see rank | 3.31% | 2.82% |
| Other Means | 75, 0.56%, see rank | 1.72% | 1.76% |
| Worked at Home | 327, 2.44%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53150 Zip Code | 24.9 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53150 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 11,826, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,578, 89.45%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 678, 5.73%, see rank | 9.94% | 12.19% |
| Public Transportation | 109, 0.92%, see rank | 1.98% | 4.73% |
| Walked | 145, 1.23%, see rank | 3.73% | 2.93% |
| Other Means | 47, 0.40%, see rank | 0.94% | 1.19% |
| Worked at Home | 269, 2.27%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53150 Zip Code | 24.3 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.
