38852 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 38852 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 3,267, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,810, 86.01%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 318, 9.73%, see rank | 10.20% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.41% | 5.06% |
| Walked | 59, 1.81%, see rank | 1.58% | 2.78% |
| Other Means | 48, 1.47%, see rank | 1.42% | 1.79% |
| Worked at Home | 32, 0.98%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 38852 Zip Code | 20.3 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 38852 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 3,157, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,900, 91.86%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 164, 5.19%, see rank | 11.05% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.43% | 4.98% |
| Walked | 60, 1.90%, see rank | 1.69% | 2.82% |
| Other Means | 5, 0.16%, see rank | 1.26% | 1.76% |
| Worked at Home | 28, 0.89%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 38852 Zip Code | 19.5 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 38852 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 3,640, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,087, 84.81%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 410, 11.26%, see rank | 15.16% | 12.19% |
| Public Transportation | 17, 0.47%, see rank | 0.57% | 4.73% |
| Walked | 53, 1.46%, see rank | 1.88% | 2.93% |
| Other Means | 21, 0.58%, see rank | 1.04% | 1.19% |
| Worked at Home | 52, 1.43%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 38852 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.
