57013 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 57013 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 2,661, 100% | 420,700 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,271, 85.34%, see rank | 78.81% | 76.41% |
| Car, Truck, or Van—Carpooled | 219, 8.23%, see rank | 9.52% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.50% | 5.06% |
| Walked | 48, 1.80%, see rank | 4.13% | 2.78% |
| Other Means | 20, 0.75%, see rank | 1.58% | 1.79% |
| Worked at Home | 103, 3.87%, see rank | 5.46% | 4.37% |
Mean Travel Time to Work, see rank| 57013 Zip Code | 22.9 minutes |
| South Dakota | 16.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 57013 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 2,354, 100% | 412,161 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,967, 83.56%, see rank | 77.87% | 76.14% |
| Car, Truck, or Van—Carpooled | 203, 8.62%, see rank | 9.90% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.56% | 4.98% |
| Walked | 56, 2.38%, see rank | 4.27% | 2.82% |
| Other Means | 13, 0.55%, see rank | 1.71% | 1.76% |
| Worked at Home | 115, 4.89%, see rank | 5.69% | 4.27% |
Mean Travel Time to Work, see rank| 57013 Zip Code | 21.0 minutes |
| South Dakota | 16.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 57013 Zip Code | South Dakota | U.S. |
| Workers 16 Years and Over | 2,150, 100% | 372,648 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,743, 81.07%, see rank | 77.35% | 75.70% |
| Car, Truck, or Van—Carpooled | 231, 10.74%, see rank | 10.41% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.46% | 4.73% |
| Walked | 81, 3.77%, see rank | 4.50% | 2.93% |
| Other Means | 33, 1.53%, see rank | 0.80% | 1.19% |
| Worked at Home | 62, 2.88%, see rank | 6.48% | 3.26% |
Mean Travel Time to Work, see rank| 57013 Zip Code | 19.1 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.
