38866 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 38866 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 6,189, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,586, 90.26%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 449, 7.25%, see rank | 10.20% | 9.59% |
| Public Transportation | 9, 0.15%, see rank | 0.41% | 5.06% |
| Walked | 26, 0.42%, see rank | 1.58% | 2.78% |
| Other Means | 44, 0.71%, see rank | 1.42% | 1.79% |
| Worked at Home | 75, 1.21%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 38866 Zip Code | 19.9 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 38866 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 5,545, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,018, 90.50%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 458, 8.26%, see rank | 11.05% | 10.03% |
| Public Transportation | 9, 0.16%, see rank | 0.43% | 4.98% |
| Walked | 13, 0.23%, see rank | 1.69% | 2.82% |
| Other Means | 39, 0.70%, see rank | 1.26% | 1.76% |
| Worked at Home | 8, 0.14%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 38866 Zip Code | 22.7 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 38866 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 4,404, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,723, 84.54%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 568, 12.90%, see rank | 15.16% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.57% | 4.73% |
| Walked | 20, 0.45%, see rank | 1.88% | 2.93% |
| Other Means | 26, 0.59%, see rank | 1.04% | 1.19% |
| Worked at Home | 67, 1.52%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 38866 Zip Code | 18.7 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.
