58356 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 58356 Zip Code | North Dakota | U.S. |
| Workers 16 Years and Over | 912, 100% | 377,678 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 621, 68.09%, see rank | 79.89% | 76.41% |
| Car, Truck, or Van—Carpooled | 102, 11.18%, see rank | 9.24% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.55% | 5.06% |
| Walked | 80, 8.77%, see rank | 3.87% | 2.78% |
| Other Means | 17, 1.86%, see rank | 1.32% | 1.79% |
| Worked at Home | 92, 10.09%, see rank | 5.14% | 4.37% |
Mean Travel Time to Work, see rank| 58356 Zip Code | 15.3 minutes |
| North Dakota | 16.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 58356 Zip Code | North Dakota | U.S. |
| Workers 16 Years and Over | 874, 100% | 363,094 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 596, 68.19%, see rank | 78.98% | 76.14% |
| Car, Truck, or Van—Carpooled | 95, 10.87%, see rank | 9.54% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.50% | 4.98% |
| Walked | 56, 6.41%, see rank | 3.88% | 2.82% |
| Other Means | 19, 2.17%, see rank | 1.44% | 1.76% |
| Worked at Home | 108, 12.36%, see rank | 5.66% | 4.27% |
Mean Travel Time to Work, see rank| 58356 Zip Code | 15.7 minutes |
| North Dakota | 15.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 58356 Zip Code | North Dakota | U.S. |
| Workers 16 Years and Over | 894, 100% | 319,481 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 639, 71.48%, see rank | 77.71% | 75.70% |
| Car, Truck, or Van—Carpooled | 83, 9.28%, see rank | 10.02% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.41% | 4.73% |
| Walked | 66, 7.38%, see rank | 5.04% | 2.93% |
| Other Means | 3, 0.34%, see rank | 0.84% | 1.19% |
| Worked at Home | 103, 11.52%, see rank | 5.98% | 3.26% |
Mean Travel Time to Work, see rank| 58356 Zip Code | 12.8 minutes |
| North Dakota | 14.9 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.
