35630 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 35630 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 13,843, 100% | 1,983,227 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,754, 84.91%, see rank | 85.31% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,176, 8.50%, see rank | 9.38% | 9.59% |
| Public Transportation | 49, 0.35%, see rank | 0.45% | 5.06% |
| Walked | 322, 2.33%, see rank | 1.14% | 2.78% |
| Other Means | 195, 1.41%, see rank | 1.02% | 1.79% |
| Worked at Home | 347, 2.51%, see rank | 2.69% | 4.37% |
Mean Travel Time to Work, see rank| 35630 Zip Code | 16.1 minutes |
| Alabama | 24.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 35630 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 13,319, 100% | 1,988,366 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,989, 82.51%, see rank | 84.27% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,496, 11.23%, see rank | 10.47% | 10.03% |
| Public Transportation | 26, 0.20%, see rank | 0.44% | 4.98% |
| Walked | 202, 1.52%, see rank | 1.19% | 2.82% |
| Other Means | 165, 1.24%, see rank | 1.03% | 1.76% |
| Worked at Home | 441, 3.31%, see rank | 2.59% | 4.27% |
Mean Travel Time to Work, see rank| 35630 Zip Code | 15.7 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 35630 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 12,464, 100% | 1,900,089 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,583, 84.91%, see rank | 82.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,158, 9.29%, see rank | 12.32% | 12.19% |
| Public Transportation | 20, 0.16%, see rank | 0.50% | 4.73% |
| Walked | 351, 2.82%, see rank | 1.33% | 2.93% |
| Other Means | 86, 0.69%, see rank | 0.79% | 1.19% |
| Worked at Home | 266, 2.13%, see rank | 2.07% | 3.26% |
Mean Travel Time to Work, see rank| 35630 Zip Code | 16.2 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.
