36832 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 36832 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 10,730, 100% | 1,983,227 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,610, 80.24%, see rank | 85.31% | 76.41% |
| Car, Truck, or Van—Carpooled | 925, 8.62%, see rank | 9.38% | 9.59% |
| Public Transportation | 336, 3.13%, see rank | 0.45% | 5.06% |
| Walked | 500, 4.66%, see rank | 1.14% | 2.78% |
| Other Means | 163, 1.52%, see rank | 1.02% | 1.79% |
| Worked at Home | 196, 1.83%, see rank | 2.69% | 4.37% |
Mean Travel Time to Work, see rank| 36832 Zip Code | 17.3 minutes |
| Alabama | 24.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 36832 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 10,020, 100% | 1,988,366 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,966, 79.50%, see rank | 84.27% | 76.14% |
| Car, Truck, or Van—Carpooled | 898, 8.96%, see rank | 10.47% | 10.03% |
| Public Transportation | 271, 2.70%, see rank | 0.44% | 4.98% |
| Walked | 499, 4.98%, see rank | 1.19% | 2.82% |
| Other Means | 202, 2.02%, see rank | 1.03% | 1.76% |
| Worked at Home | 184, 1.84%, see rank | 2.59% | 4.27% |
Mean Travel Time to Work, see rank| 36832 Zip Code | 17.0 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 36832 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 7,628, 100% | 1,900,089 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,207, 81.37%, see rank | 82.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 898, 11.77%, see rank | 12.32% | 12.19% |
| Public Transportation | 140, 1.84%, see rank | 0.50% | 4.73% |
| Walked | 204, 2.67%, see rank | 1.33% | 2.93% |
| Other Means | 48, 0.63%, see rank | 0.79% | 1.19% |
| Worked at Home | 131, 1.72%, see rank | 2.07% | 3.26% |
Mean Travel Time to Work, see rank| 36832 Zip Code | 17.1 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.
