56501 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 56501 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 8,172, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,422, 78.59%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 963, 11.78%, see rank | 8.82% | 9.59% |
| Public Transportation | 10, 0.12%, see rank | 3.48% | 5.06% |
| Walked | 204, 2.50%, see rank | 2.83% | 2.78% |
| Other Means | 172, 2.10%, see rank | 1.64% | 1.79% |
| Worked at Home | 401, 4.91%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 56501 Zip Code | 19.2 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 56501 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 7,940, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,226, 78.41%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 973, 12.25%, see rank | 9.14% | 10.03% |
| Public Transportation | 16, 0.20%, see rank | 3.46% | 4.98% |
| Walked | 179, 2.25%, see rank | 2.85% | 2.82% |
| Other Means | 151, 1.90%, see rank | 1.59% | 1.76% |
| Worked at Home | 395, 4.97%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 56501 Zip Code | 18.4 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 56501 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 7,133, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,578, 78.20%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 876, 12.28%, see rank | 10.41% | 12.19% |
| Public Transportation | 25, 0.35%, see rank | 3.20% | 4.73% |
| Walked | 186, 2.61%, see rank | 3.31% | 2.93% |
| Other Means | 58, 0.81%, see rank | 0.91% | 1.19% |
| Worked at Home | 410, 5.75%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 56501 Zip Code | 18.2 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.
