56334 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 56334 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,536, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,938, 76.42%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 241, 9.50%, see rank | 8.82% | 9.59% |
| Public Transportation | 11, 0.43%, see rank | 3.48% | 5.06% |
| Walked | 217, 8.56%, see rank | 2.83% | 2.78% |
| Other Means | 23, 0.91%, see rank | 1.64% | 1.79% |
| Worked at Home | 106, 4.18%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 56334 Zip Code | 17.3 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 56334 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,505, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,924, 76.81%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 209, 8.34%, see rank | 9.14% | 10.03% |
| Public Transportation | 8, 0.32%, see rank | 3.46% | 4.98% |
| Walked | 176, 7.03%, see rank | 2.85% | 2.82% |
| Other Means | 37, 1.48%, see rank | 1.59% | 1.76% |
| Worked at Home | 151, 6.03%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 56334 Zip Code | 17.5 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 56334 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,444, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,941, 79.42%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 198, 8.10%, see rank | 10.41% | 12.19% |
| Public Transportation | 8, 0.33%, see rank | 3.20% | 4.73% |
| Walked | 93, 3.81%, see rank | 3.31% | 2.93% |
| Other Means | 17, 0.70%, see rank | 0.91% | 1.19% |
| Worked at Home | 187, 7.65%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 56334 Zip Code | 15.4 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.
