30265 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30265 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 16,322, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,765, 84.33%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,300, 7.96%, see rank | 10.41% | 9.59% |
| Public Transportation | 141, 0.86%, see rank | 2.10% | 5.06% |
| Walked | 27, 0.17%, see rank | 1.57% | 2.78% |
| Other Means | 66, 0.40%, see rank | 1.66% | 1.79% |
| Worked at Home | 1,023, 6.27%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30265 Zip Code | 30.4 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30265 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,394, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 13,345, 86.69%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,167, 7.58%, see rank | 10.98% | 10.03% |
| Public Transportation | 106, 0.69%, see rank | 2.17% | 4.98% |
| Walked | 31, 0.20%, see rank | 1.55% | 2.82% |
| Other Means | 80, 0.52%, see rank | 1.67% | 1.76% |
| Worked at Home | 665, 4.32%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30265 Zip Code | 31.5 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30265 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 9,312, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,905, 84.89%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 957, 10.28%, see rank | 14.53% | 12.19% |
| Public Transportation | 30, 0.32%, see rank | 2.35% | 4.73% |
| Walked | 23, 0.25%, see rank | 1.72% | 2.93% |
| Other Means | 49, 0.53%, see rank | 1.10% | 1.19% |
| Worked at Home | 348, 3.74%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30265 Zip Code | 30.4 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.
