58433 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 58433 Zip Code | North Dakota | U.S. |
| Workers 16 Years and Over | 589, 100% | 377,678 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 423, 71.82%, see rank | 79.89% | 76.41% |
| Car, Truck, or Van—Carpooled | 28, 4.75%, see rank | 9.24% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.55% | 5.06% |
| Walked | 77, 13.07%, see rank | 3.87% | 2.78% |
| Other Means | 2, 0.34%, see rank | 1.32% | 1.79% |
| Worked at Home | 59, 10.02%, see rank | 5.14% | 4.37% |
Mean Travel Time to Work, see rank| 58433 Zip Code | 12.7 minutes |
| North Dakota | 16.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 58433 Zip Code | North Dakota | U.S. |
| Workers 16 Years and Over | 570, 100% | 363,094 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 372, 65.26%, see rank | 78.98% | 76.14% |
| Car, Truck, or Van—Carpooled | 42, 7.37%, see rank | 9.54% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.50% | 4.98% |
| Walked | 72, 12.63%, see rank | 3.88% | 2.82% |
| Other Means | 14, 2.46%, see rank | 1.44% | 1.76% |
| Worked at Home | 70, 12.28%, see rank | 5.66% | 4.27% |
Mean Travel Time to Work, see rank| 58433 Zip Code | 12.5 minutes |
| North Dakota | 15.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 58433 Zip Code | North Dakota | U.S. |
| Workers 16 Years and Over | 576, 100% | 319,481 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 397, 68.92%, see rank | 77.71% | 75.70% |
| Car, Truck, or Van—Carpooled | 42, 7.29%, see rank | 10.02% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.41% | 4.73% |
| Walked | 67, 11.63%, see rank | 5.04% | 2.93% |
| Other Means | 6, 1.04%, see rank | 0.84% | 1.19% |
| Worked at Home | 64, 11.11%, see rank | 5.98% | 3.26% |
Mean Travel Time to Work, see rank| 58433 Zip Code | 14.5 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.
