30809 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30809 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 19,842, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 17,169, 86.53%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,763, 8.89%, see rank | 10.41% | 9.59% |
| Public Transportation | 45, 0.23%, see rank | 2.10% | 5.06% |
| Walked | 107, 0.54%, see rank | 1.57% | 2.78% |
| Other Means | 88, 0.44%, see rank | 1.66% | 1.79% |
| Worked at Home | 670, 3.38%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30809 Zip Code | 27.4 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30809 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 19,503, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 17,203, 88.21%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,604, 8.22%, see rank | 10.98% | 10.03% |
| Public Transportation | 34, 0.17%, see rank | 2.17% | 4.98% |
| Walked | 61, 0.31%, see rank | 1.55% | 2.82% |
| Other Means | 139, 0.71%, see rank | 1.67% | 1.76% |
| Worked at Home | 462, 2.37%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30809 Zip Code | 26.4 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30809 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,550, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,085, 88.33%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,172, 9.34%, see rank | 14.53% | 12.19% |
| Public Transportation | 9, 0.07%, see rank | 2.35% | 4.73% |
| Walked | 33, 0.26%, see rank | 1.72% | 2.93% |
| Other Means | 32, 0.25%, see rank | 1.10% | 1.19% |
| Worked at Home | 219, 1.75%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30809 Zip Code | 25.9 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.
