55805 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55805 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 5,153, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,257, 63.21%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 529, 10.27%, see rank | 8.82% | 9.59% |
| Public Transportation | 511, 9.92%, see rank | 3.48% | 5.06% |
| Walked | 624, 12.11%, see rank | 2.83% | 2.78% |
| Other Means | 90, 1.75%, see rank | 1.64% | 1.79% |
| Worked at Home | 142, 2.76%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55805 Zip Code | 15.0 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55805 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 5,369, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,568, 66.46%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 431, 8.03%, see rank | 9.14% | 10.03% |
| Public Transportation | 640, 11.92%, see rank | 3.46% | 4.98% |
| Walked | 575, 10.71%, see rank | 2.85% | 2.82% |
| Other Means | 53, 0.99%, see rank | 1.59% | 1.76% |
| Worked at Home | 102, 1.90%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55805 Zip Code | 14.1 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55805 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 5,347, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,697, 69.14%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 591, 11.05%, see rank | 10.41% | 12.19% |
| Public Transportation | 367, 6.86%, see rank | 3.20% | 4.73% |
| Walked | 540, 10.10%, see rank | 3.31% | 2.93% |
| Other Means | 49, 0.92%, see rank | 0.91% | 1.19% |
| Worked at Home | 103, 1.93%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55805 Zip Code | 15.3 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.
