78752 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 78752 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 10,835, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,994, 64.55%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,217, 20.46%, see rank | 10.96% | 9.59% |
| Public Transportation | 843, 7.78%, see rank | 1.57% | 5.06% |
| Walked | 219, 2.02%, see rank | 1.62% | 2.78% |
| Other Means | 298, 2.75%, see rank | 1.78% | 1.79% |
| Worked at Home | 264, 2.44%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 78752 Zip Code | 25.1 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 78752 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 9,485, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,879, 61.98%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,973, 20.80%, see rank | 11.42% | 10.03% |
| Public Transportation | 938, 9.89%, see rank | 1.60% | 4.98% |
| Walked | 248, 2.61%, see rank | 1.68% | 2.82% |
| Other Means | 281, 2.96%, see rank | 1.83% | 1.76% |
| Worked at Home | 166, 1.75%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 78752 Zip Code | 24.1 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 78752 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 8,826, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,193, 58.84%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,430, 27.53%, see rank | 14.48% | 12.19% |
| Public Transportation | 588, 6.66%, see rank | 1.86% | 4.73% |
| Walked | 217, 2.46%, see rank | 1.90% | 2.93% |
| Other Means | 286, 3.24%, see rank | 1.31% | 1.19% |
| Worked at Home | 112, 1.27%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 78752 Zip Code | 21.5 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.
