56362 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 56362 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,890, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,285, 79.07%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 231, 7.99%, see rank | 8.82% | 9.59% |
| Public Transportation | 4, 0.14%, see rank | 3.48% | 5.06% |
| Walked | 129, 4.46%, see rank | 2.83% | 2.78% |
| Other Means | 13, 0.45%, see rank | 1.64% | 1.79% |
| Worked at Home | 228, 7.89%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 56362 Zip Code | 20.5 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 56362 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,899, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,204, 76.03%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 280, 9.66%, see rank | 9.14% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 3.46% | 4.98% |
| Walked | 105, 3.62%, see rank | 2.85% | 2.82% |
| Other Means | 33, 1.14%, see rank | 1.59% | 1.76% |
| Worked at Home | 277, 9.56%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 56362 Zip Code | 21.5 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 56362 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,820, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,143, 75.99%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 228, 8.09%, see rank | 10.41% | 12.19% |
| Public Transportation | 4, 0.14%, see rank | 3.20% | 4.73% |
| Walked | 148, 5.25%, see rank | 3.31% | 2.93% |
| Other Means | 30, 1.06%, see rank | 0.91% | 1.19% |
| Worked at Home | 267, 9.47%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 56362 Zip Code | 22.1 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.
