36801 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 36801 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 10,439, 100% | 1,983,227 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,642, 82.79%, see rank | 85.31% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,189, 11.39%, see rank | 9.38% | 9.59% |
| Public Transportation | 18, 0.17%, see rank | 0.45% | 5.06% |
| Walked | 108, 1.03%, see rank | 1.14% | 2.78% |
| Other Means | 183, 1.75%, see rank | 1.02% | 1.79% |
| Worked at Home | 299, 2.86%, see rank | 2.69% | 4.37% |
Mean Travel Time to Work, see rank| 36801 Zip Code | 18.0 minutes |
| Alabama | 24.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 36801 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 9,927, 100% | 1,988,366 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,693, 77.50%, see rank | 84.27% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,550, 15.61%, see rank | 10.47% | 10.03% |
| Public Transportation | 12, 0.12%, see rank | 0.44% | 4.98% |
| Walked | 218, 2.20%, see rank | 1.19% | 2.82% |
| Other Means | 203, 2.04%, see rank | 1.03% | 1.76% |
| Worked at Home | 251, 2.53%, see rank | 2.59% | 4.27% |
Mean Travel Time to Work, see rank| 36801 Zip Code | 17.2 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 36801 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 8,922, 100% | 1,900,089 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,383, 82.75%, see rank | 82.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,058, 11.86%, see rank | 12.32% | 12.19% |
| Public Transportation | 35, 0.39%, see rank | 0.50% | 4.73% |
| Walked | 132, 1.48%, see rank | 1.33% | 2.93% |
| Other Means | 120, 1.34%, see rank | 0.79% | 1.19% |
| Worked at Home | 194, 2.17%, see rank | 2.07% | 3.26% |
Mean Travel Time to Work, see rank| 36801 Zip Code | 16.4 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.
