31406 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 31406 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,854, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,121, 82.76%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,698, 10.71%, see rank | 10.41% | 9.59% |
| Public Transportation | 296, 1.87%, see rank | 2.10% | 5.06% |
| Walked | 143, 0.90%, see rank | 1.57% | 2.78% |
| Other Means | 120, 0.76%, see rank | 1.66% | 1.79% |
| Worked at Home | 476, 3.00%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 31406 Zip Code | 19.8 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 31406 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,734, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 13,355, 84.88%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,561, 9.92%, see rank | 10.98% | 10.03% |
| Public Transportation | 273, 1.74%, see rank | 2.17% | 4.98% |
| Walked | 106, 0.67%, see rank | 1.55% | 2.82% |
| Other Means | 125, 0.79%, see rank | 1.67% | 1.76% |
| Worked at Home | 314, 2.00%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 31406 Zip Code | 19.3 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 31406 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 16,846, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,906, 82.55%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,938, 11.50%, see rank | 14.53% | 12.19% |
| Public Transportation | 189, 1.12%, see rank | 2.35% | 4.73% |
| Walked | 241, 1.43%, see rank | 1.72% | 2.93% |
| Other Means | 150, 0.89%, see rank | 1.10% | 1.19% |
| Worked at Home | 422, 2.51%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 31406 Zip Code | 20.7 minutes |
| Georgia | 27.2 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.
