68504 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 68504 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 9,140, 100% | 945,395 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,095, 77.63%, see rank | 81.19% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,299, 14.21%, see rank | 9.63% | 9.59% |
| Public Transportation | 77, 0.84%, see rank | 0.69% | 5.06% |
| Walked | 332, 3.63%, see rank | 2.77% | 2.78% |
| Other Means | 229, 2.51%, see rank | 1.27% | 1.79% |
| Worked at Home | 108, 1.18%, see rank | 4.45% | 4.37% |
Mean Travel Time to Work, see rank| 68504 Zip Code | 18.1 minutes |
| Nebraska | 17.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 68504 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 9,402, 100% | 935,599 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,372, 78.41%, see rank | 80.38% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,224, 13.02%, see rank | 10.04% | 10.03% |
| Public Transportation | 53, 0.56%, see rank | 0.69% | 4.98% |
| Walked | 437, 4.65%, see rank | 2.97% | 2.82% |
| Other Means | 192, 2.04%, see rank | 1.28% | 1.76% |
| Worked at Home | 124, 1.32%, see rank | 4.63% | 4.27% |
Mean Travel Time to Work, see rank| 68504 Zip Code | 17.9 minutes |
| Nebraska | 17.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 68504 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 8,625, 100% | 873,197 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,870, 79.65%, see rank | 80.01% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,004, 11.64%, see rank | 10.52% | 12.19% |
| Public Transportation | 67, 0.78%, see rank | 0.72% | 4.73% |
| Walked | 414, 4.80%, see rank | 3.21% | 2.93% |
| Other Means | 164, 1.90%, see rank | 0.90% | 1.19% |
| Worked at Home | 106, 1.23%, see rank | 4.64% | 3.26% |
Mean Travel Time to Work, see rank| 68504 Zip Code | 16.6 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.
