56062 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 56062 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 1,626, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,300, 79.95%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 93, 5.72%, see rank | 8.82% | 9.59% |
| Public Transportation | 12, 0.74%, see rank | 3.48% | 5.06% |
| Walked | 136, 8.36%, see rank | 2.83% | 2.78% |
| Other Means | 9, 0.55%, see rank | 1.64% | 1.79% |
| Worked at Home | 76, 4.67%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 56062 Zip Code | 18.2 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 56062 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 1,601, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,168, 72.95%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 214, 13.37%, see rank | 9.14% | 10.03% |
| Public Transportation | 37, 2.31%, see rank | 3.46% | 4.98% |
| Walked | 110, 6.87%, see rank | 2.85% | 2.82% |
| Other Means | 14, 0.87%, see rank | 1.59% | 1.76% |
| Worked at Home | 58, 3.62%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 56062 Zip Code | 16.6 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 56062 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 1,580, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,106, 70.00%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 210, 13.29%, see rank | 10.41% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 3.20% | 4.73% |
| Walked | 109, 6.90%, see rank | 3.31% | 2.93% |
| Other Means | 15, 0.95%, see rank | 0.91% | 1.19% |
| Worked at Home | 140, 8.86%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 56062 Zip Code | 16.2 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.
