68164 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 68164 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 15,681, 100% | 945,395 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,110, 89.98%, see rank | 81.19% | 76.41% |
| Car, Truck, or Van—Carpooled | 939, 5.99%, see rank | 9.63% | 9.59% |
| Public Transportation | 43, 0.27%, see rank | 0.69% | 5.06% |
| Walked | 71, 0.45%, see rank | 2.77% | 2.78% |
| Other Means | 82, 0.52%, see rank | 1.27% | 1.79% |
| Worked at Home | 436, 2.78%, see rank | 4.45% | 4.37% |
Mean Travel Time to Work, see rank| 68164 Zip Code | 19.3 minutes |
| Nebraska | 17.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 68164 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 16,059, 100% | 935,599 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,005, 87.21%, see rank | 80.38% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,239, 7.72%, see rank | 10.04% | 10.03% |
| Public Transportation | 66, 0.41%, see rank | 0.69% | 4.98% |
| Walked | 92, 0.57%, see rank | 2.97% | 2.82% |
| Other Means | 68, 0.42%, see rank | 1.28% | 1.76% |
| Worked at Home | 589, 3.67%, see rank | 4.63% | 4.27% |
Mean Travel Time to Work, see rank| 68164 Zip Code | 19.2 minutes |
| Nebraska | 17.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 68164 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 14,751, 100% | 873,197 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,992, 88.08%, see rank | 80.01% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,203, 8.16%, see rank | 10.52% | 12.19% |
| Public Transportation | 14, 0.09%, see rank | 0.72% | 4.73% |
| Walked | 118, 0.80%, see rank | 3.21% | 2.93% |
| Other Means | 81, 0.55%, see rank | 0.90% | 1.19% |
| Worked at Home | 343, 2.33%, see rank | 4.64% | 3.26% |
Mean Travel Time to Work, see rank| 68164 Zip Code | 18.9 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.
