59901 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 59901 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 22,950, 100% | 473,349 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 18,783, 81.84%, see rank | 75.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,899, 8.27%, see rank | 10.32% | 9.59% |
| Public Transportation | 100, 0.44%, see rank | 0.85% | 5.06% |
| Walked | 514, 2.24%, see rank | 4.79% | 2.78% |
| Other Means | 365, 1.59%, see rank | 2.34% | 1.79% |
| Worked at Home | 1,289, 5.62%, see rank | 6.39% | 4.37% |
Mean Travel Time to Work, see rank| 59901 Zip Code | 17.0 minutes |
| Montana | 17.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 59901 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 22,113, 100% | 470,377 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 17,713, 80.10%, see rank | 74.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,970, 8.91%, see rank | 10.27% | 10.03% |
| Public Transportation | 100, 0.45%, see rank | 0.93% | 4.98% |
| Walked | 474, 2.14%, see rank | 4.85% | 2.82% |
| Other Means | 431, 1.95%, see rank | 2.50% | 1.76% |
| Worked at Home | 1,425, 6.44%, see rank | 6.48% | 4.27% |
Mean Travel Time to Work, see rank| 59901 Zip Code | 16.7 minutes |
| Montana | 17.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 59901 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 18,401, 100% | 422,159 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,382, 78.16%, see rank | 73.88% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,078, 11.29%, see rank | 11.89% | 12.19% |
| Public Transportation | 48, 0.26%, see rank | 0.67% | 4.73% |
| Walked | 795, 4.32%, see rank | 5.53% | 2.93% |
| Other Means | 304, 1.65%, see rank | 1.67% | 1.19% |
| Worked at Home | 794, 4.31%, see rank | 6.37% | 3.26% |
Mean Travel Time to Work, see rank| 59901 Zip Code | 16.2 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.
