30038 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30038 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 18,514, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,987, 80.95%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,358, 7.33%, see rank | 10.41% | 9.59% |
| Public Transportation | 1,069, 5.77%, see rank | 2.10% | 5.06% |
| Walked | 122, 0.66%, see rank | 1.57% | 2.78% |
| Other Means | 110, 0.59%, see rank | 1.66% | 1.79% |
| Worked at Home | 868, 4.69%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30038 Zip Code | 37.4 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30038 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 17,079, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 13,819, 80.91%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,396, 8.17%, see rank | 10.98% | 10.03% |
| Public Transportation | 1,048, 6.14%, see rank | 2.17% | 4.98% |
| Walked | 138, 0.81%, see rank | 1.55% | 2.82% |
| Other Means | 84, 0.49%, see rank | 1.67% | 1.76% |
| Worked at Home | 594, 3.48%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30038 Zip Code | 39.0 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30038 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,046, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,670, 80.28%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,594, 13.23%, see rank | 14.53% | 12.19% |
| Public Transportation | 468, 3.89%, see rank | 2.35% | 4.73% |
| Walked | 39, 0.32%, see rank | 1.72% | 2.93% |
| Other Means | 39, 0.32%, see rank | 1.10% | 1.19% |
| Worked at Home | 236, 1.96%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30038 Zip Code | 39.1 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.
