54656 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 54656 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 8,358, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,771, 81.01%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 987, 11.81%, see rank | 8.62% | 9.59% |
| Public Transportation | 44, 0.53%, see rank | 1.84% | 5.06% |
| Walked | 177, 2.12%, see rank | 3.33% | 2.78% |
| Other Means | 194, 2.32%, see rank | 1.70% | 1.79% |
| Worked at Home | 185, 2.21%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 54656 Zip Code | 20.4 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 54656 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 8,517, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,579, 77.25%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,169, 13.73%, see rank | 9.20% | 10.03% |
| Public Transportation | 64, 0.75%, see rank | 1.81% | 4.98% |
| Walked | 196, 2.30%, see rank | 3.31% | 2.82% |
| Other Means | 246, 2.89%, see rank | 1.72% | 1.76% |
| Worked at Home | 263, 3.09%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 54656 Zip Code | 20.0 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 54656 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 7,887, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,326, 80.21%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 836, 10.60%, see rank | 9.94% | 12.19% |
| Public Transportation | 22, 0.28%, see rank | 1.98% | 4.73% |
| Walked | 266, 3.37%, see rank | 3.73% | 2.93% |
| Other Means | 90, 1.14%, see rank | 0.94% | 1.19% |
| Worked at Home | 347, 4.40%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 54656 Zip Code | 19.5 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.
