77076 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 77076 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 13,465, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,787, 72.68%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,598, 11.87%, see rank | 10.96% | 9.59% |
| Public Transportation | 435, 3.23%, see rank | 1.57% | 5.06% |
| Walked | 180, 1.34%, see rank | 1.62% | 2.78% |
| Other Means | 963, 7.15%, see rank | 1.78% | 1.79% |
| Worked at Home | 502, 3.73%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 77076 Zip Code | 30.0 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 77076 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 13,316, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,856, 74.02%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,006, 15.06%, see rank | 11.42% | 10.03% |
| Public Transportation | 444, 3.33%, see rank | 1.60% | 4.98% |
| Walked | 120, 0.90%, see rank | 1.68% | 2.82% |
| Other Means | 671, 5.04%, see rank | 1.83% | 1.76% |
| Worked at Home | 219, 1.64%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 77076 Zip Code | 29.3 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 77076 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 9,650, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,306, 65.35%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,401, 24.88%, see rank | 14.48% | 12.19% |
| Public Transportation | 400, 4.15%, see rank | 1.86% | 4.73% |
| Walked | 235, 2.44%, see rank | 1.90% | 2.93% |
| Other Means | 183, 1.90%, see rank | 1.31% | 1.19% |
| Worked at Home | 125, 1.30%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 77076 Zip Code | 29.9 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.
