68106 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 68106 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 11,813, 100% | 945,395 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,819, 83.12%, see rank | 81.19% | 76.41% |
| Car, Truck, or Van—Carpooled | 940, 7.96%, see rank | 9.63% | 9.59% |
| Public Transportation | 115, 0.97%, see rank | 0.69% | 5.06% |
| Walked | 407, 3.45%, see rank | 2.77% | 2.78% |
| Other Means | 67, 0.57%, see rank | 1.27% | 1.79% |
| Worked at Home | 465, 3.94%, see rank | 4.45% | 4.37% |
Mean Travel Time to Work, see rank| 68106 Zip Code | 15.6 minutes |
| Nebraska | 17.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 68106 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 11,185, 100% | 935,599 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,100, 81.36%, see rank | 80.38% | 76.14% |
| Car, Truck, or Van—Carpooled | 981, 8.77%, see rank | 10.04% | 10.03% |
| Public Transportation | 145, 1.30%, see rank | 0.69% | 4.98% |
| Walked | 482, 4.31%, see rank | 2.97% | 2.82% |
| Other Means | 121, 1.08%, see rank | 1.28% | 1.76% |
| Worked at Home | 356, 3.18%, see rank | 4.63% | 4.27% |
Mean Travel Time to Work, see rank| 68106 Zip Code | 14.9 minutes |
| Nebraska | 17.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 68106 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 10,754, 100% | 873,197 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,154, 85.12%, see rank | 80.01% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,029, 9.57%, see rank | 10.52% | 12.19% |
| Public Transportation | 60, 0.56%, see rank | 0.72% | 4.73% |
| Walked | 158, 1.47%, see rank | 3.21% | 2.93% |
| Other Means | 70, 0.65%, see rank | 0.90% | 1.19% |
| Worked at Home | 283, 2.63%, see rank | 4.64% | 3.26% |
Mean Travel Time to Work, see rank| 68106 Zip Code | 16.0 minutes |
| Nebraska | 17.2 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.
