78664 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 78664 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 29,025, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 23,054, 79.43%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,608, 12.43%, see rank | 10.96% | 9.59% |
| Public Transportation | 21, 0.07%, see rank | 1.57% | 5.06% |
| Walked | 187, 0.64%, see rank | 1.62% | 2.78% |
| Other Means | 559, 1.93%, see rank | 1.78% | 1.79% |
| Worked at Home | 1,596, 5.50%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 78664 Zip Code | 24.4 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 78664 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 27,306, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 21,397, 78.36%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,737, 13.69%, see rank | 11.42% | 10.03% |
| Public Transportation | 13, 0.05%, see rank | 1.60% | 4.98% |
| Walked | 209, 0.77%, see rank | 1.68% | 2.82% |
| Other Means | 597, 2.19%, see rank | 1.83% | 1.76% |
| Worked at Home | 1,353, 4.95%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 78664 Zip Code | 23.8 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 78664 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 24,408, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 20,363, 83.43%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,930, 12.00%, see rank | 14.48% | 12.19% |
| Public Transportation | 46, 0.19%, see rank | 1.86% | 4.73% |
| Walked | 137, 0.56%, see rank | 1.90% | 2.93% |
| Other Means | 244, 1.00%, see rank | 1.31% | 1.19% |
| Worked at Home | 688, 2.82%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 78664 Zip Code | 26.7 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.
