38756 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 38756 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,169, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,819, 83.86%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 173, 7.98%, see rank | 10.20% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.41% | 5.06% |
| Walked | 70, 3.23%, see rank | 1.58% | 2.78% |
| Other Means | 30, 1.38%, see rank | 1.42% | 1.79% |
| Worked at Home | 77, 3.55%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 38756 Zip Code | 19.9 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 38756 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,435, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,922, 78.93%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 313, 12.85%, see rank | 11.05% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.43% | 4.98% |
| Walked | 77, 3.16%, see rank | 1.69% | 2.82% |
| Other Means | 30, 1.23%, see rank | 1.26% | 1.76% |
| Worked at Home | 93, 3.82%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 38756 Zip Code | 18.3 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 38756 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 2,803, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,088, 74.49%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 537, 19.16%, see rank | 15.16% | 12.19% |
| Public Transportation | 2, 0.07%, see rank | 0.57% | 4.73% |
| Walked | 83, 2.96%, see rank | 1.88% | 2.93% |
| Other Means | 53, 1.89%, see rank | 1.04% | 1.19% |
| Worked at Home | 40, 1.43%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 38756 Zip Code | 16.2 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.
