31093 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 31093 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 11,221, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,153, 81.57%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,478, 13.17%, see rank | 10.41% | 9.59% |
| Public Transportation | 1, 0.01%, see rank | 2.10% | 5.06% |
| Walked | 100, 0.89%, see rank | 1.57% | 2.78% |
| Other Means | 362, 3.23%, see rank | 1.66% | 1.79% |
| Worked at Home | 127, 1.13%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 31093 Zip Code | 19.8 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 31093 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 11,096, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,836, 79.63%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,751, 15.78%, see rank | 10.98% | 10.03% |
| Public Transportation | 2, 0.02%, see rank | 2.17% | 4.98% |
| Walked | 196, 1.77%, see rank | 1.55% | 2.82% |
| Other Means | 143, 1.29%, see rank | 1.67% | 1.76% |
| Worked at Home | 168, 1.51%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 31093 Zip Code | 19.4 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 31093 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,109, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,879, 81.58%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,682, 13.89%, see rank | 14.53% | 12.19% |
| Public Transportation | 124, 1.02%, see rank | 2.35% | 4.73% |
| Walked | 197, 1.63%, see rank | 1.72% | 2.93% |
| Other Means | 118, 0.97%, see rank | 1.10% | 1.19% |
| Worked at Home | 109, 0.90%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 31093 Zip Code | 19.5 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.
