30286 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30286 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 8,144, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,617, 81.25%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,121, 13.76%, see rank | 10.41% | 9.59% |
| Public Transportation | 41, 0.50%, see rank | 2.10% | 5.06% |
| Walked | 111, 1.36%, see rank | 1.57% | 2.78% |
| Other Means | 128, 1.57%, see rank | 1.66% | 1.79% |
| Worked at Home | 126, 1.55%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30286 Zip Code | 21.6 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30286 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 8,472, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,767, 79.87%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,234, 14.57%, see rank | 10.98% | 10.03% |
| Public Transportation | 8, 0.09%, see rank | 2.17% | 4.98% |
| Walked | 140, 1.65%, see rank | 1.55% | 2.82% |
| Other Means | 168, 1.98%, see rank | 1.67% | 1.76% |
| Worked at Home | 155, 1.83%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30286 Zip Code | 21.2 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30286 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 9,789, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,496, 76.58%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,574, 16.08%, see rank | 14.53% | 12.19% |
| Public Transportation | 117, 1.20%, see rank | 2.35% | 4.73% |
| Walked | 228, 2.33%, see rank | 1.72% | 2.93% |
| Other Means | 187, 1.91%, see rank | 1.10% | 1.19% |
| Worked at Home | 187, 1.91%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30286 Zip Code | 22.4 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.
