53132 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53132 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 16,619, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,290, 85.99%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,461, 8.79%, see rank | 8.62% | 9.59% |
| Public Transportation | 165, 0.99%, see rank | 1.84% | 5.06% |
| Walked | 50, 0.30%, see rank | 3.33% | 2.78% |
| Other Means | 120, 0.72%, see rank | 1.70% | 1.79% |
| Worked at Home | 533, 3.21%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53132 Zip Code | 25.3 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53132 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 17,199, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,619, 85.00%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,969, 11.45%, see rank | 9.20% | 10.03% |
| Public Transportation | 81, 0.47%, see rank | 1.81% | 4.98% |
| Walked | 88, 0.51%, see rank | 3.31% | 2.82% |
| Other Means | 68, 0.40%, see rank | 1.72% | 1.76% |
| Worked at Home | 374, 2.17%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53132 Zip Code | 23.5 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53132 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 15,512, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,641, 87.94%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,090, 7.03%, see rank | 9.94% | 12.19% |
| Public Transportation | 143, 0.92%, see rank | 1.98% | 4.73% |
| Walked | 69, 0.44%, see rank | 3.73% | 2.93% |
| Other Means | 47, 0.30%, see rank | 0.94% | 1.19% |
| Worked at Home | 522, 3.37%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53132 Zip Code | 23.3 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.
