35209 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 35209 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 15,589, 100% | 1,983,227 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,070, 83.84%, see rank | 85.31% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,413, 9.06%, see rank | 9.38% | 9.59% |
| Public Transportation | 183, 1.17%, see rank | 0.45% | 5.06% |
| Walked | 262, 1.68%, see rank | 1.14% | 2.78% |
| Other Means | 277, 1.78%, see rank | 1.02% | 1.79% |
| Worked at Home | 384, 2.46%, see rank | 2.69% | 4.37% |
Mean Travel Time to Work, see rank| 35209 Zip Code | 17.4 minutes |
| Alabama | 24.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 35209 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 14,889, 100% | 1,988,366 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,050, 80.93%, see rank | 84.27% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,848, 12.41%, see rank | 10.47% | 10.03% |
| Public Transportation | 184, 1.24%, see rank | 0.44% | 4.98% |
| Walked | 198, 1.33%, see rank | 1.19% | 2.82% |
| Other Means | 288, 1.93%, see rank | 1.03% | 1.76% |
| Worked at Home | 321, 2.16%, see rank | 2.59% | 4.27% |
Mean Travel Time to Work, see rank| 35209 Zip Code | 17.1 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 35209 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 16,921, 100% | 1,900,089 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,371, 84.93%, see rank | 82.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,622, 9.59%, see rank | 12.32% | 12.19% |
| Public Transportation | 126, 0.74%, see rank | 0.50% | 4.73% |
| Walked | 325, 1.92%, see rank | 1.33% | 2.93% |
| Other Means | 80, 0.47%, see rank | 0.79% | 1.19% |
| Worked at Home | 397, 2.35%, see rank | 2.07% | 3.26% |
Mean Travel Time to Work, see rank| 35209 Zip Code | 16.3 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.
