39069 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 39069 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,358, 100% | 1,183,892 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,128, 83.06%, see rank | 84.13% | 76.41% |
| Car, Truck, or Van—Carpooled | 156, 11.49%, see rank | 10.20% | 9.59% |
| Public Transportation | 5, 0.37%, see rank | 0.41% | 5.06% |
| Walked | 26, 1.91%, see rank | 1.58% | 2.78% |
| Other Means | 29, 2.14%, see rank | 1.42% | 1.79% |
| Worked at Home | 14, 1.03%, see rank | 2.25% | 4.37% |
Mean Travel Time to Work, see rank| 39069 Zip Code | 19.5 minutes |
| Mississippi | 23.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 39069 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,346, 100% | 1,190,185 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,057, 78.53%, see rank | 83.17% | 76.14% |
| Car, Truck, or Van—Carpooled | 241, 17.90%, see rank | 11.05% | 10.03% |
| Public Transportation | 6, 0.45%, see rank | 0.43% | 4.98% |
| Walked | 5, 0.37%, see rank | 1.69% | 2.82% |
| Other Means | 3, 0.22%, see rank | 1.26% | 1.76% |
| Worked at Home | 34, 2.53%, see rank | 2.40% | 4.27% |
Mean Travel Time to Work, see rank| 39069 Zip Code | 23.7 minutes |
| Mississippi | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 39069 Zip Code | Mississippi | U.S. |
| Workers 16 Years and Over | 1,575, 100% | 1,164,118 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,232, 78.22%, see rank | 79.42% | 75.70% |
| Car, Truck, or Van—Carpooled | 301, 19.11%, see rank | 15.16% | 12.19% |
| Public Transportation | 12, 0.76%, see rank | 0.57% | 4.73% |
| Walked | 9, 0.57%, see rank | 1.88% | 2.93% |
| Other Means | 4, 0.25%, see rank | 1.04% | 1.19% |
| Worked at Home | 17, 1.08%, see rank | 1.94% | 3.26% |
Mean Travel Time to Work, see rank| 39069 Zip Code | 27.4 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.
