55744 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55744 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 8,645, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,158, 82.80%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 694, 8.03%, see rank | 8.82% | 9.59% |
| Public Transportation | 106, 1.23%, see rank | 3.48% | 5.06% |
| Walked | 199, 2.30%, see rank | 2.83% | 2.78% |
| Other Means | 87, 1.01%, see rank | 1.64% | 1.79% |
| Worked at Home | 401, 4.64%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55744 Zip Code | 17.6 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55744 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 8,715, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,094, 81.40%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 809, 9.28%, see rank | 9.14% | 10.03% |
| Public Transportation | 78, 0.90%, see rank | 3.46% | 4.98% |
| Walked | 217, 2.49%, see rank | 2.85% | 2.82% |
| Other Means | 185, 2.12%, see rank | 1.59% | 1.76% |
| Worked at Home | 332, 3.81%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55744 Zip Code | 17.4 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55744 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 9,020, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,447, 82.56%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 860, 9.53%, see rank | 10.41% | 12.19% |
| Public Transportation | 68, 0.75%, see rank | 3.20% | 4.73% |
| Walked | 236, 2.62%, see rank | 3.31% | 2.93% |
| Other Means | 67, 0.74%, see rank | 0.91% | 1.19% |
| Worked at Home | 342, 3.79%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55744 Zip Code | 17.2 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.
