59602 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 59602 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 12,674, 100% | 473,349 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,445, 82.41%, see rank | 75.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,471, 11.61%, see rank | 10.32% | 9.59% |
| Public Transportation | 40, 0.32%, see rank | 0.85% | 5.06% |
| Walked | 117, 0.92%, see rank | 4.79% | 2.78% |
| Other Means | 114, 0.90%, see rank | 2.34% | 1.79% |
| Worked at Home | 487, 3.84%, see rank | 6.39% | 4.37% |
Mean Travel Time to Work, see rank| 59602 Zip Code | 19.3 minutes |
| Montana | 17.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 59602 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 12,109, 100% | 470,377 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,932, 82.02%, see rank | 74.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,554, 12.83%, see rank | 10.27% | 10.03% |
| Public Transportation | 55, 0.45%, see rank | 0.93% | 4.98% |
| Walked | 119, 0.98%, see rank | 4.85% | 2.82% |
| Other Means | 42, 0.35%, see rank | 2.50% | 1.76% |
| Worked at Home | 407, 3.36%, see rank | 6.48% | 4.27% |
Mean Travel Time to Work, see rank| 59602 Zip Code | 20.3 minutes |
| Montana | 17.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 59602 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 9,434, 100% | 422,159 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,371, 78.13%, see rank | 73.88% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,331, 14.11%, see rank | 11.89% | 12.19% |
| Public Transportation | 39, 0.41%, see rank | 0.67% | 4.73% |
| Walked | 172, 1.82%, see rank | 5.53% | 2.93% |
| Other Means | 63, 0.67%, see rank | 1.67% | 1.19% |
| Worked at Home | 458, 4.85%, see rank | 6.37% | 3.26% |
Mean Travel Time to Work, see rank| 59602 Zip Code | 19.2 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.
