55318 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55318 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 14,268, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,811, 82.78%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,021, 7.16%, see rank | 8.82% | 9.59% |
| Public Transportation | 290, 2.03%, see rank | 3.48% | 5.06% |
| Walked | 86, 0.60%, see rank | 2.83% | 2.78% |
| Other Means | 121, 0.85%, see rank | 1.64% | 1.79% |
| Worked at Home | 939, 6.58%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55318 Zip Code | 24.3 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55318 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 13,661, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,357, 83.13%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 928, 6.79%, see rank | 9.14% | 10.03% |
| Public Transportation | 266, 1.95%, see rank | 3.46% | 4.98% |
| Walked | 104, 0.76%, see rank | 2.85% | 2.82% |
| Other Means | 82, 0.60%, see rank | 1.59% | 1.76% |
| Worked at Home | 924, 6.76%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55318 Zip Code | 22.8 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55318 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 10,223, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,549, 83.63%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 938, 9.18%, see rank | 10.41% | 12.19% |
| Public Transportation | 71, 0.69%, see rank | 3.20% | 4.73% |
| Walked | 147, 1.44%, see rank | 3.31% | 2.93% |
| Other Means | 36, 0.35%, see rank | 0.91% | 1.19% |
| Worked at Home | 482, 4.71%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55318 Zip Code | 24.3 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.
