39095 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 39095 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,149, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,655, 77.01%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 378, 17.59%, see rank | 10.20% | 9.59% |
| Public Transportation | 24, 1.12%, see rank | 0.41% | 5.06% |
| Walked | 20, 0.93%, see rank | 1.58% | 2.78% |
| Other Means | 46, 2.14%, see rank | 1.42% | 1.79% |
| Worked at Home | 26, 1.21%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 39095 Zip Code | 26.3 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 39095 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,312, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,847, 79.89%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 383, 16.57%, see rank | 11.05% | 10.03% |
| Public Transportation | 17, 0.74%, see rank | 0.43% | 4.98% |
| Walked | 28, 1.21%, see rank | 1.69% | 2.82% |
| Other Means | 12, 0.52%, see rank | 1.26% | 1.76% |
| Worked at Home | 25, 1.08%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 39095 Zip Code | 29.9 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 39095 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,385, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,588, 66.58%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 679, 28.47%, see rank | 15.16% | 12.19% |
| Public Transportation | 55, 2.31%, see rank | 0.57% | 4.73% |
| Walked | 19, 0.80%, see rank | 1.88% | 2.93% |
| Other Means | 29, 1.22%, see rank | 1.04% | 1.19% |
| Worked at Home | 15, 0.63%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 39095 Zip Code | 25.8 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.
