55734 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55734 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,742, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,219, 80.93%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 220, 8.02%, see rank | 8.82% | 9.59% |
| Public Transportation | 1, 0.04%, see rank | 3.48% | 5.06% |
| Walked | 156, 5.69%, see rank | 2.83% | 2.78% |
| Other Means | 49, 1.79%, see rank | 1.64% | 1.79% |
| Worked at Home | 97, 3.54%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55734 Zip Code | 16.0 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55734 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,732, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,156, 78.92%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 228, 8.35%, see rank | 9.14% | 10.03% |
| Public Transportation | 14, 0.51%, see rank | 3.46% | 4.98% |
| Walked | 169, 6.19%, see rank | 2.85% | 2.82% |
| Other Means | 59, 2.16%, see rank | 1.59% | 1.76% |
| Worked at Home | 106, 3.88%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55734 Zip Code | 16.9 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55734 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 2,754, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,317, 84.13%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 267, 9.69%, see rank | 10.41% | 12.19% |
| Public Transportation | 11, 0.40%, see rank | 3.20% | 4.73% |
| Walked | 115, 4.18%, see rank | 3.31% | 2.93% |
| Other Means | 6, 0.22%, see rank | 0.91% | 1.19% |
| Worked at Home | 38, 1.38%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55734 Zip Code | 17.1 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.
