30297 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30297 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 10,432, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,538, 62.67%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,607, 24.99%, see rank | 10.41% | 9.59% |
| Public Transportation | 165, 1.58%, see rank | 2.10% | 5.06% |
| Walked | 518, 4.97%, see rank | 1.57% | 2.78% |
| Other Means | 462, 4.43%, see rank | 1.66% | 1.79% |
| Worked at Home | 142, 1.36%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30297 Zip Code | 27.2 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30297 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 10,343, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,783, 55.91%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,345, 32.34%, see rank | 10.98% | 10.03% |
| Public Transportation | 179, 1.73%, see rank | 2.17% | 4.98% |
| Walked | 468, 4.52%, see rank | 1.55% | 2.82% |
| Other Means | 475, 4.59%, see rank | 1.67% | 1.76% |
| Worked at Home | 93, 0.90%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30297 Zip Code | 28.4 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30297 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,525, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,001, 63.88%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,674, 29.33%, see rank | 14.53% | 12.19% |
| Public Transportation | 188, 1.50%, see rank | 2.35% | 4.73% |
| Walked | 304, 2.43%, see rank | 1.72% | 2.93% |
| Other Means | 273, 2.18%, see rank | 1.10% | 1.19% |
| Worked at Home | 85, 0.68%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30297 Zip Code | 27.2 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.
