38850 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 38850 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,107, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 920, 83.11%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 103, 9.30%, see rank | 10.20% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.41% | 5.06% |
| Walked | 21, 1.90%, see rank | 1.58% | 2.78% |
| Other Means | 2, 0.18%, see rank | 1.42% | 1.79% |
| Worked at Home | 61, 5.51%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 38850 Zip Code | 24.3 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 38850 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,081, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 855, 79.09%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 123, 11.38%, see rank | 11.05% | 10.03% |
| Public Transportation | 34, 3.15%, see rank | 0.43% | 4.98% |
| Walked | 21, 1.94%, see rank | 1.69% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.26% | 1.76% |
| Worked at Home | 48, 4.44%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 38850 Zip Code | 25.6 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 38850 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,198, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 844, 70.45%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 305, 25.46%, see rank | 15.16% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.57% | 4.73% |
| Walked | 24, 2.00%, see rank | 1.88% | 2.93% |
| Other Means | 15, 1.25%, see rank | 1.04% | 1.19% |
| Worked at Home | 10, 0.83%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 38850 Zip Code | 20.7 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.
