39168 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 39168 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,417, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,111, 87.34%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 242, 10.01%, see rank | 10.20% | 9.59% |
| Public Transportation | 11, 0.46%, see rank | 0.41% | 5.06% |
| Walked | 10, 0.41%, see rank | 1.58% | 2.78% |
| Other Means | 16, 0.66%, see rank | 1.42% | 1.79% |
| Worked at Home | 27, 1.12%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 39168 Zip Code | 24.7 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 39168 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,532, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,120, 83.73%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 286, 11.30%, see rank | 11.05% | 10.03% |
| Public Transportation | 22, 0.87%, see rank | 0.43% | 4.98% |
| Walked | 9, 0.36%, see rank | 1.69% | 2.82% |
| Other Means | 43, 1.70%, see rank | 1.26% | 1.76% |
| Worked at Home | 52, 2.05%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 39168 Zip Code | 27.3 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 39168 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,277, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,843, 80.94%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 306, 13.44%, see rank | 15.16% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.57% | 4.73% |
| Walked | 12, 0.53%, see rank | 1.88% | 2.93% |
| Other Means | 42, 1.84%, see rank | 1.04% | 1.19% |
| Worked at Home | 74, 3.25%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 39168 Zip Code | 24.7 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.
