55066 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55066 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 8,872, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,458, 84.06%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 692, 7.80%, see rank | 8.82% | 9.59% |
| Public Transportation | 109, 1.23%, see rank | 3.48% | 5.06% |
| Walked | 165, 1.86%, see rank | 2.83% | 2.78% |
| Other Means | 125, 1.41%, see rank | 1.64% | 1.79% |
| Worked at Home | 323, 3.64%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55066 Zip Code | 20.2 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55066 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 9,002, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,347, 81.62%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 921, 10.23%, see rank | 9.14% | 10.03% |
| Public Transportation | 76, 0.84%, see rank | 3.46% | 4.98% |
| Walked | 180, 2.00%, see rank | 2.85% | 2.82% |
| Other Means | 107, 1.19%, see rank | 1.59% | 1.76% |
| Worked at Home | 371, 4.12%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55066 Zip Code | 19.6 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55066 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 9,395, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,589, 80.78%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 940, 10.01%, see rank | 10.41% | 12.19% |
| Public Transportation | 128, 1.36%, see rank | 3.20% | 4.73% |
| Walked | 313, 3.33%, see rank | 3.31% | 2.93% |
| Other Means | 69, 0.73%, see rank | 0.91% | 1.19% |
| Worked at Home | 356, 3.79%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55066 Zip Code | 17.6 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.
