53704 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53704 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 24,821, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 17,088, 68.84%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,057, 12.32%, see rank | 8.62% | 9.59% |
| Public Transportation | 2,004, 8.07%, see rank | 1.84% | 5.06% |
| Walked | 752, 3.03%, see rank | 3.33% | 2.78% |
| Other Means | 1,226, 4.94%, see rank | 1.70% | 1.79% |
| Worked at Home | 694, 2.80%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53704 Zip Code | 20.8 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53704 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 24,613, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 17,392, 70.66%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,787, 11.32%, see rank | 9.20% | 10.03% |
| Public Transportation | 2,003, 8.14%, see rank | 1.81% | 4.98% |
| Walked | 726, 2.95%, see rank | 3.31% | 2.82% |
| Other Means | 1,126, 4.57%, see rank | 1.72% | 1.76% |
| Worked at Home | 579, 2.35%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53704 Zip Code | 21.1 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53704 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 25,653, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 19,117, 74.52%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,041, 11.85%, see rank | 9.94% | 12.19% |
| Public Transportation | 1,682, 6.56%, see rank | 1.98% | 4.73% |
| Walked | 639, 2.49%, see rank | 3.73% | 2.93% |
| Other Means | 547, 2.13%, see rank | 0.94% | 1.19% |
| Worked at Home | 627, 2.44%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53704 Zip Code | 19.7 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.
