55386 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55386 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 3,534, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,781, 78.69%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 201, 5.69%, see rank | 8.82% | 9.59% |
| Public Transportation | 64, 1.81%, see rank | 3.48% | 5.06% |
| Walked | 23, 0.65%, see rank | 2.83% | 2.78% |
| Other Means | 63, 1.78%, see rank | 1.64% | 1.79% |
| Worked at Home | 402, 11.38%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55386 Zip Code | 27.3 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55386 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 3,278, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,657, 81.06%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 137, 4.18%, see rank | 9.14% | 10.03% |
| Public Transportation | 61, 1.86%, see rank | 3.46% | 4.98% |
| Walked | 65, 1.98%, see rank | 2.85% | 2.82% |
| Other Means | 35, 1.07%, see rank | 1.59% | 1.76% |
| Worked at Home | 323, 9.85%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55386 Zip Code | 25.1 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55386 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 1,860, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,525, 81.99%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 127, 6.83%, see rank | 10.41% | 12.19% |
| Public Transportation | 24, 1.29%, see rank | 3.20% | 4.73% |
| Walked | 96, 5.16%, see rank | 3.31% | 2.93% |
| Other Means | 8, 0.43%, see rank | 0.91% | 1.19% |
| Worked at Home | 80, 4.30%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55386 Zip Code | 26.6 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.
