30152 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30152 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 21,189, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 17,566, 82.90%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,740, 8.21%, see rank | 10.41% | 9.59% |
| Public Transportation | 432, 2.04%, see rank | 2.10% | 5.06% |
| Walked | 37, 0.17%, see rank | 1.57% | 2.78% |
| Other Means | 172, 0.81%, see rank | 1.66% | 1.79% |
| Worked at Home | 1,242, 5.86%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30152 Zip Code | 32.2 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30152 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 20,797, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 17,379, 83.56%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,700, 8.17%, see rank | 10.98% | 10.03% |
| Public Transportation | 248, 1.19%, see rank | 2.17% | 4.98% |
| Walked | 28, 0.13%, see rank | 1.55% | 2.82% |
| Other Means | 143, 0.69%, see rank | 1.67% | 1.76% |
| Worked at Home | 1,299, 6.25%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30152 Zip Code | 31.6 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30152 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 13,730, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,398, 83.02%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,477, 10.76%, see rank | 14.53% | 12.19% |
| Public Transportation | 66, 0.48%, see rank | 2.35% | 4.73% |
| Walked | 107, 0.78%, see rank | 1.72% | 2.93% |
| Other Means | 86, 0.63%, see rank | 1.10% | 1.19% |
| Worked at Home | 596, 4.34%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30152 Zip Code | 34.4 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.
