77095 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 77095 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 36,424, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 29,764, 81.72%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 4,060, 11.15%, see rank | 10.96% | 9.59% |
| Public Transportation | 565, 1.55%, see rank | 1.57% | 5.06% |
| Walked | 187, 0.51%, see rank | 1.62% | 2.78% |
| Other Means | 456, 1.25%, see rank | 1.78% | 1.79% |
| Worked at Home | 1,392, 3.82%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 77095 Zip Code | 33.9 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 77095 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 34,743, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 28,563, 82.21%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,825, 11.01%, see rank | 11.42% | 10.03% |
| Public Transportation | 553, 1.59%, see rank | 1.60% | 4.98% |
| Walked | 209, 0.60%, see rank | 1.68% | 2.82% |
| Other Means | 397, 1.14%, see rank | 1.83% | 1.76% |
| Worked at Home | 1,196, 3.44%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 77095 Zip Code | 35.0 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 77095 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 20,299, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,830, 82.91%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,970, 9.70%, see rank | 14.48% | 12.19% |
| Public Transportation | 723, 3.56%, see rank | 1.86% | 4.73% |
| Walked | 103, 0.51%, see rank | 1.90% | 2.93% |
| Other Means | 161, 0.79%, see rank | 1.31% | 1.19% |
| Worked at Home | 512, 2.52%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 77095 Zip Code | 33.6 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.
