59601 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 59601 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 15,153, 100% | 473,349 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,067, 73.04%, see rank | 75.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,614, 10.65%, see rank | 10.32% | 9.59% |
| Public Transportation | 116, 0.77%, see rank | 0.85% | 5.06% |
| Walked | 1,127, 7.44%, see rank | 4.79% | 2.78% |
| Other Means | 537, 3.54%, see rank | 2.34% | 1.79% |
| Worked at Home | 692, 4.57%, see rank | 6.39% | 4.37% |
Mean Travel Time to Work, see rank| 59601 Zip Code | 13.6 minutes |
| Montana | 17.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 59601 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 15,398, 100% | 470,377 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,894, 70.75%, see rank | 74.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,942, 12.61%, see rank | 10.27% | 10.03% |
| Public Transportation | 88, 0.57%, see rank | 0.93% | 4.98% |
| Walked | 1,091, 7.09%, see rank | 4.85% | 2.82% |
| Other Means | 779, 5.06%, see rank | 2.50% | 1.76% |
| Worked at Home | 604, 3.92%, see rank | 6.48% | 4.27% |
Mean Travel Time to Work, see rank| 59601 Zip Code | 13.4 minutes |
| Montana | 17.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 59601 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 14,678, 100% | 422,159 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,024, 75.11%, see rank | 73.88% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,531, 10.43%, see rank | 11.89% | 12.19% |
| Public Transportation | 86, 0.59%, see rank | 0.67% | 4.73% |
| Walked | 1,210, 8.24%, see rank | 5.53% | 2.93% |
| Other Means | 219, 1.49%, see rank | 1.67% | 1.19% |
| Worked at Home | 608, 4.14%, see rank | 6.37% | 3.26% |
Mean Travel Time to Work, see rank| 59601 Zip Code | 12.3 minutes |
| Montana | 16.7 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.
