77082 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 77082 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 27,269, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 22,512, 82.56%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,018, 11.07%, see rank | 10.96% | 9.59% |
| Public Transportation | 725, 2.66%, see rank | 1.57% | 5.06% |
| Walked | 122, 0.45%, see rank | 1.62% | 2.78% |
| Other Means | 309, 1.13%, see rank | 1.78% | 1.79% |
| Worked at Home | 583, 2.14%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 77082 Zip Code | 29.7 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 77082 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 26,075, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 21,006, 80.56%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,047, 11.69%, see rank | 11.42% | 10.03% |
| Public Transportation | 598, 2.29%, see rank | 1.60% | 4.98% |
| Walked | 264, 1.01%, see rank | 1.68% | 2.82% |
| Other Means | 272, 1.04%, see rank | 1.83% | 1.76% |
| Worked at Home | 888, 3.41%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 77082 Zip Code | 29.0 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 77082 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 20,169, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,569, 82.15%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,291, 11.36%, see rank | 14.48% | 12.19% |
| Public Transportation | 489, 2.42%, see rank | 1.86% | 4.73% |
| Walked | 132, 0.65%, see rank | 1.90% | 2.93% |
| Other Means | 221, 1.10%, see rank | 1.31% | 1.19% |
| Worked at Home | 467, 2.32%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 77082 Zip Code | 30.2 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.
