56288 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 56288 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,545, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,104, 82.67%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 250, 9.82%, see rank | 8.82% | 9.59% |
| Public Transportation | 3, 0.12%, see rank | 3.48% | 5.06% |
| Walked | 39, 1.53%, see rank | 2.83% | 2.78% |
| Other Means | 12, 0.47%, see rank | 1.64% | 1.79% |
| Worked at Home | 137, 5.38%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 56288 Zip Code | 19.7 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 56288 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,389, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,984, 83.05%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 232, 9.71%, see rank | 9.14% | 10.03% |
| Public Transportation | 3, 0.13%, see rank | 3.46% | 4.98% |
| Walked | 34, 1.42%, see rank | 2.85% | 2.82% |
| Other Means | 14, 0.59%, see rank | 1.59% | 1.76% |
| Worked at Home | 122, 5.11%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 56288 Zip Code | 19.3 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 56288 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,414, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,925, 79.74%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 277, 11.47%, see rank | 10.41% | 12.19% |
| Public Transportation | 13, 0.54%, see rank | 3.20% | 4.73% |
| Walked | 39, 1.62%, see rank | 3.31% | 2.93% |
| Other Means | 16, 0.66%, see rank | 0.91% | 1.19% |
| Worked at Home | 144, 5.97%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 56288 Zip Code | 22.0 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.
