53213 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 53213 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 15,046, 100% | 2,804,563 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,553, 83.43%, see rank | 80.43% | 76.41% |
| Car, Truck, or Van—Carpooled | 880, 5.85%, see rank | 8.62% | 9.59% |
| Public Transportation | 285, 1.89%, see rank | 1.84% | 5.06% |
| Walked | 540, 3.59%, see rank | 3.33% | 2.78% |
| Other Means | 189, 1.26%, see rank | 1.70% | 1.79% |
| Worked at Home | 599, 3.98%, see rank | 4.08% | 4.37% |
Mean Travel Time to Work, see rank| 53213 Zip Code | 19.4 minutes |
| Wisconsin | 21.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 53213 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 14,743, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,144, 82.37%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 964, 6.54%, see rank | 9.20% | 10.03% |
| Public Transportation | 342, 2.32%, see rank | 1.81% | 4.98% |
| Walked | 518, 3.51%, see rank | 3.31% | 2.82% |
| Other Means | 176, 1.19%, see rank | 1.72% | 1.76% |
| Worked at Home | 599, 4.06%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| 53213 Zip Code | 19.2 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 53213 Zip Code | Wisconsin | U.S. |
| Workers 16 Years and Over | 14,420, 100% | 2,690,704 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,189, 84.53%, see rank | 79.49% | 75.70% |
| Car, Truck, or Van—Carpooled | 866, 6.01%, see rank | 9.94% | 12.19% |
| Public Transportation | 411, 2.85%, see rank | 1.98% | 4.73% |
| Walked | 355, 2.46%, see rank | 3.73% | 2.93% |
| Other Means | 69, 0.48%, see rank | 0.94% | 1.19% |
| Worked at Home | 530, 3.68%, see rank | 3.92% | 3.26% |
Mean Travel Time to Work, see rank| 53213 Zip Code | 18.8 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.
