30501 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 30501 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 11,149, 100% | 4,253,203 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,556, 67.77%, see rank | 79.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,381, 21.36%, see rank | 10.41% | 9.59% |
| Public Transportation | 61, 0.55%, see rank | 2.10% | 5.06% |
| Walked | 328, 2.94%, see rank | 1.57% | 2.78% |
| Other Means | 526, 4.72%, see rank | 1.66% | 1.79% |
| Worked at Home | 297, 2.66%, see rank | 4.78% | 4.37% |
Mean Travel Time to Work, see rank| 30501 Zip Code | 21.1 minutes |
| Georgia | 27.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 30501 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 10,465, 100% | 4,234,475 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,699, 64.01%, see rank | 78.96% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,811, 26.86%, see rank | 10.98% | 10.03% |
| Public Transportation | 59, 0.56%, see rank | 2.17% | 4.98% |
| Walked | 397, 3.79%, see rank | 1.55% | 2.82% |
| Other Means | 247, 2.36%, see rank | 1.67% | 1.76% |
| Worked at Home | 252, 2.41%, see rank | 4.66% | 4.27% |
Mean Travel Time to Work, see rank| 30501 Zip Code | 23.8 minutes |
| Georgia | 27.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 30501 Zip Code | Georgia | U.S. |
| Workers 16 Years and Over | 12,569, 100% | 3,832,803 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,659, 60.94%, see rank | 77.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,662, 29.14%, see rank | 14.53% | 12.19% |
| Public Transportation | 348, 2.77%, see rank | 2.35% | 4.73% |
| Walked | 422, 3.36%, see rank | 1.72% | 2.93% |
| Other Means | 299, 2.38%, see rank | 1.10% | 1.19% |
| Worked at Home | 179, 1.42%, see rank | 2.84% | 3.26% |
Mean Travel Time to Work, see rank| 30501 Zip Code | 20.9 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.
