30705 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30705 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 13,013, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,152, 85.70%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,341, 10.31%, see rank | 10.41% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 2.10% | 5.06% |
| Walked | 188, 1.44%, see rank | 1.57% | 2.78% |
| Other Means | 138, 1.06%, see rank | 1.66% | 1.79% |
| Worked at Home | 194, 1.49%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30705 Zip Code | 25.7 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30705 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 13,206, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,640, 88.14%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,302, 9.86%, see rank | 10.98% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 2.17% | 4.98% |
| Walked | 67, 0.51%, see rank | 1.55% | 2.82% |
| Other Means | 57, 0.43%, see rank | 1.67% | 1.76% |
| Worked at Home | 140, 1.06%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30705 Zip Code | 23.5 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30705 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,068, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,168, 80.75%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,566, 17.03%, see rank | 14.53% | 12.19% |
| Public Transportation | 18, 0.12%, see rank | 2.35% | 4.73% |
| Walked | 69, 0.46%, see rank | 1.72% | 2.93% |
| Other Means | 73, 0.48%, see rank | 1.10% | 1.19% |
| Worked at Home | 174, 1.15%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30705 Zip Code | 23.2 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.
