30338 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30338 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,762, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,406, 78.71%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,122, 7.12%, see rank | 10.41% | 9.59% |
| Public Transportation | 598, 3.79%, see rank | 2.10% | 5.06% |
| Walked | 76, 0.48%, see rank | 1.57% | 2.78% |
| Other Means | 79, 0.50%, see rank | 1.66% | 1.79% |
| Worked at Home | 1,481, 9.40%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30338 Zip Code | 24.2 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30338 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 16,022, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,420, 77.52%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 937, 5.85%, see rank | 10.98% | 10.03% |
| Public Transportation | 617, 3.85%, see rank | 2.17% | 4.98% |
| Walked | 304, 1.90%, see rank | 1.55% | 2.82% |
| Other Means | 118, 0.74%, see rank | 1.67% | 1.76% |
| Worked at Home | 1,626, 10.15%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30338 Zip Code | 23.3 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30338 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,586, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,615, 80.94%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 889, 5.70%, see rank | 14.53% | 12.19% |
| Public Transportation | 769, 4.93%, see rank | 2.35% | 4.73% |
| Walked | 85, 0.55%, see rank | 1.72% | 2.93% |
| Other Means | 140, 0.90%, see rank | 1.10% | 1.19% |
| Worked at Home | 1,088, 6.98%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30338 Zip Code | 23.3 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.
