59802 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 59802 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 11,005, 100% | 473,349 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,341, 66.71%, see rank | 75.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,091, 9.91%, see rank | 10.32% | 9.59% |
| Public Transportation | 181, 1.64%, see rank | 0.85% | 5.06% |
| Walked | 883, 8.02%, see rank | 4.79% | 2.78% |
| Other Means | 794, 7.21%, see rank | 2.34% | 1.79% |
| Worked at Home | 715, 6.50%, see rank | 6.39% | 4.37% |
Mean Travel Time to Work, see rank| 59802 Zip Code | 14.8 minutes |
| Montana | 17.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 59802 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 10,351, 100% | 470,377 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,728, 65.00%, see rank | 74.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,081, 10.44%, see rank | 10.27% | 10.03% |
| Public Transportation | 204, 1.97%, see rank | 0.93% | 4.98% |
| Walked | 756, 7.30%, see rank | 4.85% | 2.82% |
| Other Means | 715, 6.91%, see rank | 2.50% | 1.76% |
| Worked at Home | 867, 8.38%, see rank | 6.48% | 4.27% |
Mean Travel Time to Work, see rank| 59802 Zip Code | 14.9 minutes |
| Montana | 17.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 59802 Zip Code | Montana | U.S. |
| Workers 16 Years and Over | 9,354, 100% | 422,159 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,289, 67.23%, see rank | 73.88% | 75.70% |
| Car, Truck, or Van—Carpooled | 909, 9.72%, see rank | 11.89% | 12.19% |
| Public Transportation | 226, 2.42%, see rank | 0.67% | 4.73% |
| Walked | 749, 8.01%, see rank | 5.53% | 2.93% |
| Other Means | 706, 7.55%, see rank | 1.67% | 1.19% |
| Worked at Home | 475, 5.08%, see rank | 6.37% | 3.26% |
Mean Travel Time to Work, see rank| 59802 Zip Code | 15.5 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.
