56082 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 56082 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 7,140, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,034, 70.50%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 465, 6.51%, see rank | 8.82% | 9.59% |
| Public Transportation | 25, 0.35%, see rank | 3.48% | 5.06% |
| Walked | 527, 7.38%, see rank | 2.83% | 2.78% |
| Other Means | 99, 1.39%, see rank | 1.64% | 1.79% |
| Worked at Home | 990, 13.87%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 56082 Zip Code | 16.7 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 56082 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 7,162, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,884, 68.19%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 429, 5.99%, see rank | 9.14% | 10.03% |
| Public Transportation | 9, 0.13%, see rank | 3.46% | 4.98% |
| Walked | 830, 11.59%, see rank | 2.85% | 2.82% |
| Other Means | 163, 2.28%, see rank | 1.59% | 1.76% |
| Worked at Home | 847, 11.83%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 56082 Zip Code | 16.6 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 56082 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 6,603, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,540, 68.76%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 594, 9.00%, see rank | 10.41% | 12.19% |
| Public Transportation | 11, 0.17%, see rank | 3.20% | 4.73% |
| Walked | 1,149, 17.40%, see rank | 3.31% | 2.93% |
| Other Means | 90, 1.36%, see rank | 0.91% | 1.19% |
| Worked at Home | 219, 3.32%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 56082 Zip Code | 13.3 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.
