38583 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 38583 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 8,803, 100% | 2,788,201 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,501, 85.21%, see rank | 83.70% | 76.41% |
| Car, Truck, or Van—Carpooled | 887, 10.08%, see rank | 9.50% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 5.06% |
| Walked | 43, 0.49%, see rank | 1.32% | 2.78% |
| Other Means | 126, 1.43%, see rank | 1.13% | 1.79% |
| Worked at Home | 246, 2.79%, see rank | 3.54% | 4.37% |
Mean Travel Time to Work, see rank| 38583 Zip Code | 23.3 minutes |
| Tennessee | 24.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 38583 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 9,360, 100% | 2,762,765 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,705, 82.32%, see rank | 83.36% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,085, 11.59%, see rank | 9.96% | 10.03% |
| Public Transportation | 15, 0.16%, see rank | 0.80% | 4.98% |
| Walked | 45, 0.48%, see rank | 1.34% | 2.82% |
| Other Means | 124, 1.32%, see rank | 1.09% | 1.76% |
| Worked at Home | 386, 4.12%, see rank | 3.45% | 4.27% |
Mean Travel Time to Work, see rank| 38583 Zip Code | 21.8 minutes |
| Tennessee | 24.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 38583 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 9,153, 100% | 2,618,404 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,480, 81.72%, see rank | 81.74% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,192, 13.02%, see rank | 12.54% | 12.19% |
| Public Transportation | 12, 0.13%, see rank | 0.81% | 4.73% |
| Walked | 82, 0.90%, see rank | 1.52% | 2.93% |
| Other Means | 153, 1.67%, see rank | 0.82% | 1.19% |
| Worked at Home | 234, 2.56%, see rank | 2.58% | 3.26% |
Mean Travel Time to Work, see rank| 38583 Zip Code | 21.6 minutes |
| Tennessee | 23.8 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.
