37090 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 37090 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 6,353, 100% | 2,788,201 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,473, 86.15%, see rank | 83.70% | 76.41% |
| Car, Truck, or Van—Carpooled | 639, 10.06%, see rank | 9.50% | 9.59% |
| Public Transportation | 32, 0.50%, see rank | 0.81% | 5.06% |
| Walked | 14, 0.22%, see rank | 1.32% | 2.78% |
| Other Means | 23, 0.36%, see rank | 1.13% | 1.79% |
| Worked at Home | 172, 2.71%, see rank | 3.54% | 4.37% |
Mean Travel Time to Work, see rank| 37090 Zip Code | 30.7 minutes |
| Tennessee | 24.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 37090 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 5,816, 100% | 2,762,765 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,093, 87.57%, see rank | 83.36% | 76.14% |
| Car, Truck, or Van—Carpooled | 543, 9.34%, see rank | 9.96% | 10.03% |
| Public Transportation | 30, 0.52%, see rank | 0.80% | 4.98% |
| Walked | 9, 0.15%, see rank | 1.34% | 2.82% |
| Other Means | 14, 0.24%, see rank | 1.09% | 1.76% |
| Worked at Home | 127, 2.18%, see rank | 3.45% | 4.27% |
Mean Travel Time to Work, see rank| 37090 Zip Code | 30.9 minutes |
| Tennessee | 24.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 37090 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 6,269, 100% | 2,618,404 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,121, 81.69%, see rank | 81.74% | 75.70% |
| Car, Truck, or Van—Carpooled | 870, 13.88%, see rank | 12.54% | 12.19% |
| Public Transportation | 24, 0.38%, see rank | 0.81% | 4.73% |
| Walked | 20, 0.32%, see rank | 1.52% | 2.93% |
| Other Means | 107, 1.71%, see rank | 0.82% | 1.19% |
| Worked at Home | 127, 2.03%, see rank | 2.58% | 3.26% |
Mean Travel Time to Work, see rank| 37090 Zip Code | 28.9 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.
