57059 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 57059 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 717, 100% | 420,700 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 439, 61.23%, see rank | 78.81% | 76.41% |
| Car, Truck, or Van—Carpooled | 118, 16.46%, see rank | 9.52% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.50% | 5.06% |
| Walked | 80, 11.16%, see rank | 4.13% | 2.78% |
| Other Means | 17, 2.37%, see rank | 1.58% | 1.79% |
| Worked at Home | 63, 8.79%, see rank | 5.46% | 4.37% |
Mean Travel Time to Work, see rank| 57059 Zip Code | 18.7 minutes |
| South Dakota | 16.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 57059 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 722, 100% | 412,161 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 438, 60.66%, see rank | 77.87% | 76.14% |
| Car, Truck, or Van—Carpooled | 123, 17.04%, see rank | 9.90% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.56% | 4.98% |
| Walked | 54, 7.48%, see rank | 4.27% | 2.82% |
| Other Means | 34, 4.71%, see rank | 1.71% | 1.76% |
| Worked at Home | 73, 10.11%, see rank | 5.69% | 4.27% |
Mean Travel Time to Work, see rank| 57059 Zip Code | 17.3 minutes |
| South Dakota | 16.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 57059 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 679, 100% | 372,648 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 473, 69.66%, see rank | 77.35% | 75.70% |
| Car, Truck, or Van—Carpooled | 75, 11.05%, see rank | 10.41% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.46% | 4.73% |
| Walked | 31, 4.57%, see rank | 4.50% | 2.93% |
| Other Means | 13, 1.91%, see rank | 0.80% | 1.19% |
| Worked at Home | 87, 12.81%, see rank | 6.48% | 3.26% |
Mean Travel Time to Work, see rank| 57059 Zip Code | 20.6 minutes |
| South Dakota | 15.7 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.
