77067 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 77067 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 13,575, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,118, 81.90%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,518, 11.18%, see rank | 10.96% | 9.59% |
| Public Transportation | 382, 2.81%, see rank | 1.57% | 5.06% |
| Walked | 77, 0.57%, see rank | 1.62% | 2.78% |
| Other Means | 258, 1.90%, see rank | 1.78% | 1.79% |
| Worked at Home | 222, 1.64%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 77067 Zip Code | 28.6 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 77067 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 12,536, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,827, 78.39%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,765, 14.08%, see rank | 11.42% | 10.03% |
| Public Transportation | 204, 1.63%, see rank | 1.60% | 4.98% |
| Walked | 65, 0.52%, see rank | 1.68% | 2.82% |
| Other Means | 402, 3.21%, see rank | 1.83% | 1.76% |
| Worked at Home | 273, 2.18%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 77067 Zip Code | 26.8 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 77067 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 10,303, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,543, 73.21%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,019, 19.60%, see rank | 14.48% | 12.19% |
| Public Transportation | 385, 3.74%, see rank | 1.86% | 4.73% |
| Walked | 105, 1.02%, see rank | 1.90% | 2.93% |
| Other Means | 129, 1.25%, see rank | 1.31% | 1.19% |
| Worked at Home | 122, 1.18%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 77067 Zip Code | 29.3 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.
