78758 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 78758 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 24,402, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 17,531, 71.84%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,594, 14.73%, see rank | 10.96% | 9.59% |
| Public Transportation | 1,053, 4.32%, see rank | 1.57% | 5.06% |
| Walked | 546, 2.24%, see rank | 1.62% | 2.78% |
| Other Means | 690, 2.83%, see rank | 1.78% | 1.79% |
| Worked at Home | 988, 4.05%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 78758 Zip Code | 22.2 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 78758 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 24,424, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 16,893, 69.17%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,991, 16.34%, see rank | 11.42% | 10.03% |
| Public Transportation | 1,280, 5.24%, see rank | 1.60% | 4.98% |
| Walked | 615, 2.52%, see rank | 1.68% | 2.82% |
| Other Means | 919, 3.76%, see rank | 1.83% | 1.76% |
| Worked at Home | 726, 2.97%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 78758 Zip Code | 22.4 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 78758 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 25,494, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 18,953, 74.34%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 4,357, 17.09%, see rank | 14.48% | 12.19% |
| Public Transportation | 990, 3.88%, see rank | 1.86% | 4.73% |
| Walked | 527, 2.07%, see rank | 1.90% | 2.93% |
| Other Means | 300, 1.18%, see rank | 1.31% | 1.19% |
| Worked at Home | 367, 1.44%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 78758 Zip Code | 19.8 minutes |
| Texas | 24.9 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.
