68144 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 68144 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 14,126, 100% | 945,395 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,967, 84.72%, see rank | 81.19% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,192, 8.44%, see rank | 9.63% | 9.59% |
| Public Transportation | 160, 1.13%, see rank | 0.69% | 5.06% |
| Walked | 156, 1.10%, see rank | 2.77% | 2.78% |
| Other Means | 173, 1.22%, see rank | 1.27% | 1.79% |
| Worked at Home | 478, 3.38%, see rank | 4.45% | 4.37% |
Mean Travel Time to Work, see rank| 68144 Zip Code | 16.7 minutes |
| Nebraska | 17.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 68144 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 13,800, 100% | 935,599 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,698, 84.77%, see rank | 80.38% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,117, 8.09%, see rank | 10.04% | 10.03% |
| Public Transportation | 78, 0.57%, see rank | 0.69% | 4.98% |
| Walked | 222, 1.61%, see rank | 2.97% | 2.82% |
| Other Means | 130, 0.94%, see rank | 1.28% | 1.76% |
| Worked at Home | 555, 4.02%, see rank | 4.63% | 4.27% |
Mean Travel Time to Work, see rank| 68144 Zip Code | 16.1 minutes |
| Nebraska | 17.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 68144 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 13,750, 100% | 873,197 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,081, 87.86%, see rank | 80.01% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,001, 7.28%, see rank | 10.52% | 12.19% |
| Public Transportation | 103, 0.75%, see rank | 0.72% | 4.73% |
| Walked | 121, 0.88%, see rank | 3.21% | 2.93% |
| Other Means | 33, 0.24%, see rank | 0.90% | 1.19% |
| Worked at Home | 411, 2.99%, see rank | 4.64% | 3.26% |
Mean Travel Time to Work, see rank| 68144 Zip Code | 16.7 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.
