30506 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30506 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 19,135, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,584, 81.44%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,913, 10.00%, see rank | 10.41% | 9.59% |
| Public Transportation | 46, 0.24%, see rank | 2.10% | 5.06% |
| Walked | 111, 0.58%, see rank | 1.57% | 2.78% |
| Other Means | 275, 1.44%, see rank | 1.66% | 1.79% |
| Worked at Home | 1,206, 6.30%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30506 Zip Code | 29.5 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30506 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 18,912, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,401, 81.44%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,787, 9.45%, see rank | 10.98% | 10.03% |
| Public Transportation | 39, 0.21%, see rank | 2.17% | 4.98% |
| Walked | 165, 0.87%, see rank | 1.55% | 2.82% |
| Other Means | 244, 1.29%, see rank | 1.67% | 1.76% |
| Worked at Home | 1,276, 6.75%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30506 Zip Code | 27.6 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30506 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,431, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,833, 83.16%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,904, 12.34%, see rank | 14.53% | 12.19% |
| Public Transportation | 50, 0.32%, see rank | 2.35% | 4.73% |
| Walked | 54, 0.35%, see rank | 1.72% | 2.93% |
| Other Means | 48, 0.31%, see rank | 1.10% | 1.19% |
| Worked at Home | 542, 3.51%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30506 Zip Code | 28.1 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.
