30097 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30097 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 20,128, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,448, 76.75%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,305, 11.45%, see rank | 10.41% | 9.59% |
| Public Transportation | 151, 0.75%, see rank | 2.10% | 5.06% |
| Walked | 68, 0.34%, see rank | 1.57% | 2.78% |
| Other Means | 76, 0.38%, see rank | 1.66% | 1.79% |
| Worked at Home | 2,080, 10.33%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30097 Zip Code | 32.7 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30097 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 18,311, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,202, 77.56%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,574, 8.60%, see rank | 10.98% | 10.03% |
| Public Transportation | 103, 0.56%, see rank | 2.17% | 4.98% |
| Walked | 56, 0.31%, see rank | 1.55% | 2.82% |
| Other Means | 227, 1.24%, see rank | 1.67% | 1.76% |
| Worked at Home | 2,149, 11.74%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30097 Zip Code | 31.7 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30097 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,127, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,966, 82.18%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,221, 10.07%, see rank | 14.53% | 12.19% |
| Public Transportation | 60, 0.49%, see rank | 2.35% | 4.73% |
| Walked | 37, 0.31%, see rank | 1.72% | 2.93% |
| Other Means | 67, 0.55%, see rank | 1.10% | 1.19% |
| Worked at Home | 776, 6.40%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30097 Zip Code | 33.3 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.
