55446 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55446 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 10,950, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,678, 79.25%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 774, 7.07%, see rank | 8.82% | 9.59% |
| Public Transportation | 396, 3.62%, see rank | 3.48% | 5.06% |
| Walked | 272, 2.48%, see rank | 2.83% | 2.78% |
| Other Means | 94, 0.86%, see rank | 1.64% | 1.79% |
| Worked at Home | 736, 6.72%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55446 Zip Code | 24.4 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55446 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 10,284, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,816, 76.00%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,008, 9.80%, see rank | 9.14% | 10.03% |
| Public Transportation | 356, 3.46%, see rank | 3.46% | 4.98% |
| Walked | 249, 2.42%, see rank | 2.85% | 2.82% |
| Other Means | 138, 1.34%, see rank | 1.59% | 1.76% |
| Worked at Home | 717, 6.97%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55446 Zip Code | 24.0 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55446 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 6,640, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,631, 84.80%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 439, 6.61%, see rank | 10.41% | 12.19% |
| Public Transportation | 90, 1.36%, see rank | 3.20% | 4.73% |
| Walked | 41, 0.62%, see rank | 3.31% | 2.93% |
| Other Means | 68, 1.02%, see rank | 0.91% | 1.19% |
| Worked at Home | 371, 5.59%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55446 Zip Code | 23.7 minutes |
| Minnesota | 21.4 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.
