78753 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 78753 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 27,442, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 19,040, 69.38%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 5,077, 18.50%, see rank | 10.96% | 9.59% |
| Public Transportation | 1,414, 5.15%, see rank | 1.57% | 5.06% |
| Walked | 233, 0.85%, see rank | 1.62% | 2.78% |
| Other Means | 721, 2.63%, see rank | 1.78% | 1.79% |
| Worked at Home | 957, 3.49%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 78753 Zip Code | 25.3 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 78753 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 26,670, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 18,466, 69.24%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 4,967, 18.62%, see rank | 11.42% | 10.03% |
| Public Transportation | 1,320, 4.95%, see rank | 1.60% | 4.98% |
| Walked | 388, 1.45%, see rank | 1.68% | 2.82% |
| Other Means | 648, 2.43%, see rank | 1.83% | 1.76% |
| Worked at Home | 881, 3.30%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 78753 Zip Code | 24.2 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 78753 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 23,482, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,775, 71.44%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 4,547, 19.36%, see rank | 14.48% | 12.19% |
| Public Transportation | 831, 3.54%, see rank | 1.86% | 4.73% |
| Walked | 391, 1.67%, see rank | 1.90% | 2.93% |
| Other Means | 445, 1.90%, see rank | 1.31% | 1.19% |
| Worked at Home | 493, 2.10%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 78753 Zip Code | 21.3 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.
