39475 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 39475 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 5,094, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,244, 83.31%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 504, 9.89%, see rank | 10.20% | 9.59% |
| Public Transportation | 12, 0.24%, see rank | 0.41% | 5.06% |
| Walked | 49, 0.96%, see rank | 1.58% | 2.78% |
| Other Means | 56, 1.10%, see rank | 1.42% | 1.79% |
| Worked at Home | 229, 4.50%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 39475 Zip Code | 24.0 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 39475 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 5,432, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,643, 85.47%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 450, 8.28%, see rank | 11.05% | 10.03% |
| Public Transportation | 8, 0.15%, see rank | 0.43% | 4.98% |
| Walked | 43, 0.79%, see rank | 1.69% | 2.82% |
| Other Means | 45, 0.83%, see rank | 1.26% | 1.76% |
| Worked at Home | 243, 4.47%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 39475 Zip Code | 26.3 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 39475 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 4,371, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,561, 81.47%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 504, 11.53%, see rank | 15.16% | 12.19% |
| Public Transportation | 23, 0.53%, see rank | 0.57% | 4.73% |
| Walked | 38, 0.87%, see rank | 1.88% | 2.93% |
| Other Means | 72, 1.65%, see rank | 1.04% | 1.19% |
| Worked at Home | 173, 3.96%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 39475 Zip Code | 24.6 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.
