30252 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30252 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 18,235, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,230, 83.52%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,303, 7.15%, see rank | 10.41% | 9.59% |
| Public Transportation | 82, 0.45%, see rank | 2.10% | 5.06% |
| Walked | 67, 0.37%, see rank | 1.57% | 2.78% |
| Other Means | 245, 1.34%, see rank | 1.66% | 1.79% |
| Worked at Home | 1,308, 7.17%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30252 Zip Code | 38.9 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30252 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 19,400, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 16,205, 83.53%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,789, 9.22%, see rank | 10.98% | 10.03% |
| Public Transportation | 150, 0.77%, see rank | 2.17% | 4.98% |
| Walked | 58, 0.30%, see rank | 1.55% | 2.82% |
| Other Means | 118, 0.61%, see rank | 1.67% | 1.76% |
| Worked at Home | 1,080, 5.57%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30252 Zip Code | 38.4 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30252 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 9,488, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,032, 84.65%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,060, 11.17%, see rank | 14.53% | 12.19% |
| Public Transportation | 14, 0.15%, see rank | 2.35% | 4.73% |
| Walked | 40, 0.42%, see rank | 1.72% | 2.93% |
| Other Means | 71, 0.75%, see rank | 1.10% | 1.19% |
| Worked at Home | 271, 2.86%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30252 Zip Code | 37.4 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.
