35758 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 35758 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 22,291, 100% | 1,983,227 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 20,206, 90.65%, see rank | 85.31% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,291, 5.79%, see rank | 9.38% | 9.59% |
| Public Transportation | 28, 0.13%, see rank | 0.45% | 5.06% |
| Walked | 61, 0.27%, see rank | 1.14% | 2.78% |
| Other Means | 208, 0.93%, see rank | 1.02% | 1.79% |
| Worked at Home | 497, 2.23%, see rank | 2.69% | 4.37% |
Mean Travel Time to Work, see rank| 35758 Zip Code | 18.0 minutes |
| Alabama | 24.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 35758 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 21,648, 100% | 1,988,366 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 19,475, 89.96%, see rank | 84.27% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,474, 6.81%, see rank | 10.47% | 10.03% |
| Public Transportation | 43, 0.20%, see rank | 0.44% | 4.98% |
| Walked | 74, 0.34%, see rank | 1.19% | 2.82% |
| Other Means | 143, 0.66%, see rank | 1.03% | 1.76% |
| Worked at Home | 439, 2.03%, see rank | 2.59% | 4.27% |
Mean Travel Time to Work, see rank| 35758 Zip Code | 18.4 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 35758 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 16,740, 100% | 1,900,089 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,514, 86.70%, see rank | 82.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,701, 10.16%, see rank | 12.32% | 12.19% |
| Public Transportation | 17, 0.10%, see rank | 0.50% | 4.73% |
| Walked | 58, 0.35%, see rank | 1.33% | 2.93% |
| Other Means | 61, 0.36%, see rank | 0.79% | 1.19% |
| Worked at Home | 389, 2.32%, see rank | 2.07% | 3.26% |
Mean Travel Time to Work, see rank| 35758 Zip Code | 17.7 minutes |
| Alabama | 23.9 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.
