57071 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 57071 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 1,719, 100% | 420,700 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,320, 76.79%, see rank | 78.81% | 76.41% |
| Car, Truck, or Van—Carpooled | 172, 10.01%, see rank | 9.52% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.50% | 5.06% |
| Walked | 69, 4.01%, see rank | 4.13% | 2.78% |
| Other Means | 17, 0.99%, see rank | 1.58% | 1.79% |
| Worked at Home | 141, 8.20%, see rank | 5.46% | 4.37% |
Mean Travel Time to Work, see rank| 57071 Zip Code | 15.0 minutes |
| South Dakota | 16.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 57071 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 1,613, 100% | 412,161 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,322, 81.96%, see rank | 77.87% | 76.14% |
| Car, Truck, or Van—Carpooled | 117, 7.25%, see rank | 9.90% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.56% | 4.98% |
| Walked | 91, 5.64%, see rank | 4.27% | 2.82% |
| Other Means | 17, 1.05%, see rank | 1.71% | 1.76% |
| Worked at Home | 66, 4.09%, see rank | 5.69% | 4.27% |
Mean Travel Time to Work, see rank| 57071 Zip Code | 15.0 minutes |
| South Dakota | 16.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 57071 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 1,411, 100% | 372,648 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,122, 79.52%, see rank | 77.35% | 75.70% |
| Car, Truck, or Van—Carpooled | 106, 7.51%, see rank | 10.41% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.46% | 4.73% |
| Walked | 66, 4.68%, see rank | 4.50% | 2.93% |
| Other Means | 5, 0.35%, see rank | 0.80% | 1.19% |
| Worked at Home | 112, 7.94%, see rank | 6.48% | 3.26% |
Mean Travel Time to Work, see rank| 57071 Zip Code | 15.4 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.
