77077 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 77077 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 30,494, 100% | 11,685,902 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 25,793, 84.58%, see rank | 80.03% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,265, 7.43%, see rank | 10.96% | 9.59% |
| Public Transportation | 617, 2.02%, see rank | 1.57% | 5.06% |
| Walked | 463, 1.52%, see rank | 1.62% | 2.78% |
| Other Means | 162, 0.53%, see rank | 1.78% | 1.79% |
| Worked at Home | 1,194, 3.92%, see rank | 4.06% | 4.37% |
Mean Travel Time to Work, see rank| 77077 Zip Code | 26.8 minutes |
| Texas | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 77077 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 28,689, 100% | 11,314,152 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 24,181, 84.29%, see rank | 79.50% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,104, 7.33%, see rank | 11.42% | 10.03% |
| Public Transportation | 602, 2.10%, see rank | 1.60% | 4.98% |
| Walked | 563, 1.96%, see rank | 1.68% | 2.82% |
| Other Means | 189, 0.66%, see rank | 1.83% | 1.76% |
| Worked at Home | 1,050, 3.66%, see rank | 3.96% | 4.27% |
Mean Travel Time to Work, see rank| 77077 Zip Code | 26.2 minutes |
| Texas | 24.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 77077 Zip Code | Texas | U.S. |
| Workers 16 Years and Over | 24,531, 100% | 9,157,875 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 20,671, 84.26%, see rank | 77.70% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,767, 7.20%, see rank | 14.48% | 12.19% |
| Public Transportation | 732, 2.98%, see rank | 1.86% | 4.73% |
| Walked | 204, 0.83%, see rank | 1.90% | 2.93% |
| Other Means | 147, 0.60%, see rank | 1.31% | 1.19% |
| Worked at Home | 1,010, 4.12%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 77077 Zip Code | 28.4 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.
