77092 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 77092 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 16,399, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,432, 75.81%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,126, 12.96%, see rank | 10.96% | 9.59% |
| Public Transportation | 592, 3.61%, see rank | 1.57% | 5.06% |
| Walked | 343, 2.09%, see rank | 1.62% | 2.78% |
| Other Means | 312, 1.90%, see rank | 1.78% | 1.79% |
| Worked at Home | 594, 3.62%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 77092 Zip Code | 26.2 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 77092 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 15,469, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,191, 72.34%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,307, 14.91%, see rank | 11.42% | 10.03% |
| Public Transportation | 649, 4.20%, see rank | 1.60% | 4.98% |
| Walked | 428, 2.77%, see rank | 1.68% | 2.82% |
| Other Means | 469, 3.03%, see rank | 1.83% | 1.76% |
| Worked at Home | 425, 2.75%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 77092 Zip Code | 27.5 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 77092 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 17,590, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,642, 71.87%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,997, 17.04%, see rank | 14.48% | 12.19% |
| Public Transportation | 878, 4.99%, see rank | 1.86% | 4.73% |
| Walked | 374, 2.13%, see rank | 1.90% | 2.93% |
| Other Means | 433, 2.46%, see rank | 1.31% | 1.19% |
| Worked at Home | 266, 1.51%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 77092 Zip Code | 26.9 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.
