39066 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 39066 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,791, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,452, 81.07%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 283, 15.80%, see rank | 10.20% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.41% | 5.06% |
| Walked | 0, 0.00%, see rank | 1.58% | 2.78% |
| Other Means | 22, 1.23%, see rank | 1.42% | 1.79% |
| Worked at Home | 34, 1.90%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 39066 Zip Code | 33.9 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 39066 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,834, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,439, 78.46%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 341, 18.59%, see rank | 11.05% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.43% | 4.98% |
| Walked | 4, 0.22%, see rank | 1.69% | 2.82% |
| Other Means | 31, 1.69%, see rank | 1.26% | 1.76% |
| Worked at Home | 19, 1.04%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 39066 Zip Code | 28.0 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 39066 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,859, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,431, 76.98%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 352, 18.93%, see rank | 15.16% | 12.19% |
| Public Transportation | 31, 1.67%, see rank | 0.57% | 4.73% |
| Walked | 16, 0.86%, see rank | 1.88% | 2.93% |
| Other Means | 12, 0.65%, see rank | 1.04% | 1.19% |
| Worked at Home | 17, 0.91%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 39066 Zip Code | 30.8 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.
