30310 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30310 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 10,231, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,582, 54.56%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 994, 9.72%, see rank | 10.41% | 9.59% |
| Public Transportation | 2,615, 25.56%, see rank | 2.10% | 5.06% |
| Walked | 249, 2.43%, see rank | 1.57% | 2.78% |
| Other Means | 280, 2.74%, see rank | 1.66% | 1.79% |
| Worked at Home | 511, 4.99%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30310 Zip Code | 31.3 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30310 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 9,385, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,240, 55.83%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 873, 9.30%, see rank | 10.98% | 10.03% |
| Public Transportation | 2,268, 24.17%, see rank | 2.17% | 4.98% |
| Walked | 234, 2.49%, see rank | 1.55% | 2.82% |
| Other Means | 300, 3.20%, see rank | 1.67% | 1.76% |
| Worked at Home | 470, 5.01%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30310 Zip Code | 30.3 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30310 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,010, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,193, 51.57%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,798, 14.97%, see rank | 14.53% | 12.19% |
| Public Transportation | 3,356, 27.94%, see rank | 2.35% | 4.73% |
| Walked | 345, 2.87%, see rank | 1.72% | 2.93% |
| Other Means | 84, 0.70%, see rank | 1.10% | 1.19% |
| Worked at Home | 234, 1.95%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30310 Zip Code | 34.8 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.
