30082 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30082 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 11,815, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,415, 88.15%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 443, 3.75%, see rank | 10.41% | 9.59% |
| Public Transportation | 205, 1.74%, see rank | 2.10% | 5.06% |
| Walked | 29, 0.25%, see rank | 1.57% | 2.78% |
| Other Means | 57, 0.48%, see rank | 1.66% | 1.79% |
| Worked at Home | 666, 5.64%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30082 Zip Code | 32.5 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30082 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 11,733, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,961, 84.90%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 574, 4.89%, see rank | 10.98% | 10.03% |
| Public Transportation | 195, 1.66%, see rank | 2.17% | 4.98% |
| Walked | 58, 0.49%, see rank | 1.55% | 2.82% |
| Other Means | 150, 1.28%, see rank | 1.67% | 1.76% |
| Worked at Home | 795, 6.78%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30082 Zip Code | 29.1 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30082 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,493, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,841, 78.77%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,801, 14.42%, see rank | 14.53% | 12.19% |
| Public Transportation | 182, 1.46%, see rank | 2.35% | 4.73% |
| Walked | 136, 1.09%, see rank | 1.72% | 2.93% |
| Other Means | 97, 0.78%, see rank | 1.10% | 1.19% |
| Worked at Home | 436, 3.49%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30082 Zip Code | 31.0 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.
