53406 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53406 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 11,951, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,362, 86.70%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 950, 7.95%, see rank | 8.62% | 9.59% |
| Public Transportation | 145, 1.21%, see rank | 1.84% | 5.06% |
| Walked | 84, 0.70%, see rank | 3.33% | 2.78% |
| Other Means | 143, 1.20%, see rank | 1.70% | 1.79% |
| Worked at Home | 267, 2.23%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53406 Zip Code | 21.8 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53406 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 12,245, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,708, 87.45%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 841, 6.87%, see rank | 9.20% | 10.03% |
| Public Transportation | 82, 0.67%, see rank | 1.81% | 4.98% |
| Walked | 116, 0.95%, see rank | 3.31% | 2.82% |
| Other Means | 110, 0.90%, see rank | 1.72% | 1.76% |
| Worked at Home | 388, 3.17%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53406 Zip Code | 21.7 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53406 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 10,689, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,274, 86.76%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 882, 8.25%, see rank | 9.94% | 12.19% |
| Public Transportation | 120, 1.12%, see rank | 1.98% | 4.73% |
| Walked | 108, 1.01%, see rank | 3.73% | 2.93% |
| Other Means | 52, 0.49%, see rank | 0.94% | 1.19% |
| Worked at Home | 253, 2.37%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53406 Zip Code | 18.0 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.
