78666 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 78666 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 32,422, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 25,140, 77.54%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,802, 11.73%, see rank | 10.96% | 9.59% |
| Public Transportation | 718, 2.21%, see rank | 1.57% | 5.06% |
| Walked | 1,167, 3.60%, see rank | 1.62% | 2.78% |
| Other Means | 597, 1.84%, see rank | 1.78% | 1.79% |
| Worked at Home | 998, 3.08%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 78666 Zip Code | 22.2 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 78666 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 28,435, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 22,368, 78.66%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,975, 10.46%, see rank | 11.42% | 10.03% |
| Public Transportation | 551, 1.94%, see rank | 1.60% | 4.98% |
| Walked | 1,128, 3.97%, see rank | 1.68% | 2.82% |
| Other Means | 407, 1.43%, see rank | 1.83% | 1.76% |
| Worked at Home | 1,006, 3.54%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 78666 Zip Code | 21.8 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 78666 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 26,476, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 19,325, 72.99%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 4,176, 15.77%, see rank | 14.48% | 12.19% |
| Public Transportation | 280, 1.06%, see rank | 1.86% | 4.73% |
| Walked | 1,654, 6.25%, see rank | 1.90% | 2.93% |
| Other Means | 434, 1.64%, see rank | 1.31% | 1.19% |
| Worked at Home | 607, 2.29%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 78666 Zip Code | 22.1 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.
