31905 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 31905 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,043, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,199, 34.87%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 694, 5.76%, see rank | 10.41% | 9.59% |
| Public Transportation | 30, 0.25%, see rank | 2.10% | 5.06% |
| Walked | 638, 5.30%, see rank | 1.57% | 2.78% |
| Other Means | 254, 2.11%, see rank | 1.66% | 1.79% |
| Worked at Home | 6,228, 51.71%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 31905 Zip Code | 12.5 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 31905 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,291, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,276, 26.65%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 596, 4.85%, see rank | 10.98% | 10.03% |
| Public Transportation | 15, 0.12%, see rank | 2.17% | 4.98% |
| Walked | 419, 3.41%, see rank | 1.55% | 2.82% |
| Other Means | 239, 1.94%, see rank | 1.67% | 1.76% |
| Worked at Home | 7,746, 63.02%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 31905 Zip Code | 12.0 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 31905 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 13,917, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,702, 40.97%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,498, 10.76%, see rank | 14.53% | 12.19% |
| Public Transportation | 80, 0.57%, see rank | 2.35% | 4.73% |
| Walked | 4,954, 35.60%, see rank | 1.72% | 2.93% |
| Other Means | 833, 5.99%, see rank | 1.10% | 1.19% |
| Worked at Home | 850, 6.11%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 31905 Zip Code | 12.0 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.
