31088 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 31088 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 22,636, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 19,078, 84.28%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,657, 11.74%, see rank | 10.41% | 9.59% |
| Public Transportation | 31, 0.14%, see rank | 2.10% | 5.06% |
| Walked | 113, 0.50%, see rank | 1.57% | 2.78% |
| Other Means | 292, 1.29%, see rank | 1.66% | 1.79% |
| Worked at Home | 465, 2.05%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 31088 Zip Code | 20.0 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 31088 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 23,656, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 20,107, 85.00%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,787, 11.78%, see rank | 10.98% | 10.03% |
| Public Transportation | 60, 0.25%, see rank | 2.17% | 4.98% |
| Walked | 84, 0.36%, see rank | 1.55% | 2.82% |
| Other Means | 283, 1.20%, see rank | 1.67% | 1.76% |
| Worked at Home | 335, 1.42%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 31088 Zip Code | 19.2 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 31088 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 19,013, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,347, 85.98%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,951, 10.26%, see rank | 14.53% | 12.19% |
| Public Transportation | 27, 0.14%, see rank | 2.35% | 4.73% |
| Walked | 191, 1.00%, see rank | 1.72% | 2.93% |
| Other Means | 188, 0.99%, see rank | 1.10% | 1.19% |
| Worked at Home | 309, 1.63%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 31088 Zip Code | 19.6 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.
