30905 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30905 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 4,535, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,641, 36.19%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 254, 5.60%, see rank | 10.41% | 9.59% |
| Public Transportation | 518, 11.42%, see rank | 2.10% | 5.06% |
| Walked | 1,706, 37.62%, see rank | 1.57% | 2.78% |
| Other Means | 67, 1.48%, see rank | 1.66% | 1.79% |
| Worked at Home | 349, 7.70%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30905 Zip Code | 7.8 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30905 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 4,010, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,499, 37.38%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 134, 3.34%, see rank | 10.98% | 10.03% |
| Public Transportation | 425, 10.60%, see rank | 2.17% | 4.98% |
| Walked | 1,596, 39.80%, see rank | 1.55% | 2.82% |
| Other Means | 42, 1.05%, see rank | 1.67% | 1.76% |
| Worked at Home | 314, 7.83%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30905 Zip Code | 8.7 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30905 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 5,518, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,753, 31.77%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 405, 7.34%, see rank | 14.53% | 12.19% |
| Public Transportation | 103, 1.87%, see rank | 2.35% | 4.73% |
| Walked | 2,926, 53.03%, see rank | 1.72% | 2.93% |
| Other Means | 245, 4.44%, see rank | 1.10% | 1.19% |
| Worked at Home | 86, 1.56%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30905 Zip Code | 11.0 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.
