30253 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30253 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 23,111, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 18,678, 80.82%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,756, 11.93%, see rank | 10.41% | 9.59% |
| Public Transportation | 337, 1.46%, see rank | 2.10% | 5.06% |
| Walked | 219, 0.95%, see rank | 1.57% | 2.78% |
| Other Means | 122, 0.53%, see rank | 1.66% | 1.79% |
| Worked at Home | 999, 4.32%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30253 Zip Code | 32.0 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30253 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 22,215, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 18,363, 82.66%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,342, 10.54%, see rank | 10.98% | 10.03% |
| Public Transportation | 217, 0.98%, see rank | 2.17% | 4.98% |
| Walked | 222, 1.00%, see rank | 1.55% | 2.82% |
| Other Means | 43, 0.19%, see rank | 1.67% | 1.76% |
| Worked at Home | 1,028, 4.63%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30253 Zip Code | 31.5 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30253 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 13,279, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,128, 83.80%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,576, 11.87%, see rank | 14.53% | 12.19% |
| Public Transportation | 66, 0.50%, see rank | 2.35% | 4.73% |
| Walked | 77, 0.58%, see rank | 1.72% | 2.93% |
| Other Means | 93, 0.70%, see rank | 1.10% | 1.19% |
| Worked at Home | 339, 2.55%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30253 Zip Code | 31.3 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.
