55038 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55038 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 11,400, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,337, 81.90%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,116, 9.79%, see rank | 8.82% | 9.59% |
| Public Transportation | 163, 1.43%, see rank | 3.48% | 5.06% |
| Walked | 69, 0.61%, see rank | 2.83% | 2.78% |
| Other Means | 86, 0.75%, see rank | 1.64% | 1.79% |
| Worked at Home | 629, 5.52%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55038 Zip Code | 30.2 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55038 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 10,802, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,090, 84.15%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 825, 7.64%, see rank | 9.14% | 10.03% |
| Public Transportation | 145, 1.34%, see rank | 3.46% | 4.98% |
| Walked | 44, 0.41%, see rank | 2.85% | 2.82% |
| Other Means | 137, 1.27%, see rank | 1.59% | 1.76% |
| Worked at Home | 561, 5.19%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55038 Zip Code | 29.5 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55038 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 5,894, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,988, 84.63%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 596, 10.11%, see rank | 10.41% | 12.19% |
| Public Transportation | 47, 0.80%, see rank | 3.20% | 4.73% |
| Walked | 41, 0.70%, see rank | 3.31% | 2.93% |
| Other Means | 51, 0.87%, see rank | 0.91% | 1.19% |
| Worked at Home | 171, 2.90%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55038 Zip Code | 28.2 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.
