39730 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 39730 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 3,648, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,232, 88.60%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 311, 8.53%, see rank | 10.20% | 9.59% |
| Public Transportation | 6, 0.16%, see rank | 0.41% | 5.06% |
| Walked | 44, 1.21%, see rank | 1.58% | 2.78% |
| Other Means | 19, 0.52%, see rank | 1.42% | 1.79% |
| Worked at Home | 36, 0.99%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 39730 Zip Code | 21.4 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 39730 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 4,035, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,589, 88.95%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 333, 8.25%, see rank | 11.05% | 10.03% |
| Public Transportation | 9, 0.22%, see rank | 0.43% | 4.98% |
| Walked | 58, 1.44%, see rank | 1.69% | 2.82% |
| Other Means | 27, 0.67%, see rank | 1.26% | 1.76% |
| Worked at Home | 19, 0.47%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 39730 Zip Code | 22.1 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 39730 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 4,783, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,728, 77.94%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 887, 18.54%, see rank | 15.16% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.57% | 4.73% |
| Walked | 36, 0.75%, see rank | 1.88% | 2.93% |
| Other Means | 34, 0.71%, see rank | 1.04% | 1.19% |
| Worked at Home | 98, 2.05%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 39730 Zip Code | 23.9 minutes |
| Mississippi | 23.3 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.
