31602 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 31602 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,754, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,126, 83.32%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,209, 7.67%, see rank | 10.41% | 9.59% |
| Public Transportation | 110, 0.70%, see rank | 2.10% | 5.06% |
| Walked | 201, 1.28%, see rank | 1.57% | 2.78% |
| Other Means | 452, 2.87%, see rank | 1.66% | 1.79% |
| Worked at Home | 656, 4.16%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 31602 Zip Code | 16.2 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 31602 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,296, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,872, 84.15%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,552, 10.15%, see rank | 10.98% | 10.03% |
| Public Transportation | 78, 0.51%, see rank | 2.17% | 4.98% |
| Walked | 101, 0.66%, see rank | 1.55% | 2.82% |
| Other Means | 273, 1.78%, see rank | 1.67% | 1.76% |
| Worked at Home | 420, 2.75%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 31602 Zip Code | 15.5 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 31602 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 15,050, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,208, 81.12%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,970, 13.09%, see rank | 14.53% | 12.19% |
| Public Transportation | 25, 0.17%, see rank | 2.35% | 4.73% |
| Walked | 434, 2.88%, see rank | 1.72% | 2.93% |
| Other Means | 111, 0.74%, see rank | 1.10% | 1.19% |
| Worked at Home | 302, 2.01%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 31602 Zip Code | 16.5 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.
