55092 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 55092 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 6,164, 100% | 2,733,199 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,412, 87.80%, see rank | 78.05% | 76.41% |
| Car, Truck, or Van—Carpooled | 420, 6.81%, see rank | 8.82% | 9.59% |
| Public Transportation | 90, 1.46%, see rank | 3.48% | 5.06% |
| Walked | 9, 0.15%, see rank | 2.83% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.64% | 1.79% |
| Worked at Home | 233, 3.78%, see rank | 5.18% | 4.37% |
Mean Travel Time to Work, see rank| 55092 Zip Code | 33.9 minutes |
| Minnesota | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 55092 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 5,981, 100% | 2,697,932 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,312, 88.81%, see rank | 77.81% | 76.14% |
| Car, Truck, or Van—Carpooled | 419, 7.01%, see rank | 9.14% | 10.03% |
| Public Transportation | 16, 0.27%, see rank | 3.46% | 4.98% |
| Walked | 42, 0.70%, see rank | 2.85% | 2.82% |
| Other Means | 15, 0.25%, see rank | 1.59% | 1.76% |
| Worked at Home | 177, 2.96%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 55092 Zip Code | 32.0 minutes |
| Minnesota | 22.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 55092 Zip Code | Minnesota | U.S. |
| Workers 16 Years and Over | 4,769, 100% | 2,541,611 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,029, 84.48%, see rank | 77.58% | 75.70% |
| Car, Truck, or Van—Carpooled | 531, 11.13%, see rank | 10.41% | 12.19% |
| Public Transportation | 16, 0.34%, see rank | 3.20% | 4.73% |
| Walked | 40, 0.84%, see rank | 3.31% | 2.93% |
| Other Means | 12, 0.25%, see rank | 0.91% | 1.19% |
| Worked at Home | 141, 2.96%, see rank | 4.59% | 3.26% |
Mean Travel Time to Work, see rank| 55092 Zip Code | 31.6 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.
