30122 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30122 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 9,681, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,048, 83.13%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,099, 11.35%, see rank | 10.41% | 9.59% |
| Public Transportation | 54, 0.56%, see rank | 2.10% | 5.06% |
| Walked | 30, 0.31%, see rank | 1.57% | 2.78% |
| Other Means | 99, 1.02%, see rank | 1.66% | 1.79% |
| Worked at Home | 351, 3.63%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30122 Zip Code | 29.5 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30122 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 9,946, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,403, 84.49%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,040, 10.46%, see rank | 10.98% | 10.03% |
| Public Transportation | 95, 0.96%, see rank | 2.17% | 4.98% |
| Walked | 31, 0.31%, see rank | 1.55% | 2.82% |
| Other Means | 113, 1.14%, see rank | 1.67% | 1.76% |
| Worked at Home | 264, 2.65%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30122 Zip Code | 28.0 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30122 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 8,553, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,101, 83.02%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,158, 13.54%, see rank | 14.53% | 12.19% |
| Public Transportation | 30, 0.35%, see rank | 2.35% | 4.73% |
| Walked | 26, 0.30%, see rank | 1.72% | 2.93% |
| Other Means | 13, 0.15%, see rank | 1.10% | 1.19% |
| Worked at Home | 225, 2.63%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30122 Zip Code | 30.6 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.
