37033 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 37033 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 2,890, 100% | 2,788,201 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,245, 77.68%, see rank | 83.70% | 76.41% |
| Car, Truck, or Van—Carpooled | 413, 14.29%, see rank | 9.50% | 9.59% |
| Public Transportation | 8, 0.28%, see rank | 0.81% | 5.06% |
| Walked | 37, 1.28%, see rank | 1.32% | 2.78% |
| Other Means | 19, 0.66%, see rank | 1.13% | 1.79% |
| Worked at Home | 168, 5.81%, see rank | 3.54% | 4.37% |
Mean Travel Time to Work, see rank| 37033 Zip Code | 31.6 minutes |
| Tennessee | 24.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 37033 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 3,179, 100% | 2,762,765 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,594, 81.60%, see rank | 83.36% | 76.14% |
| Car, Truck, or Van—Carpooled | 386, 12.14%, see rank | 9.96% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.98% |
| Walked | 45, 1.42%, see rank | 1.34% | 2.82% |
| Other Means | 9, 0.28%, see rank | 1.09% | 1.76% |
| Worked at Home | 145, 4.56%, see rank | 3.45% | 4.27% |
Mean Travel Time to Work, see rank| 37033 Zip Code | 30.8 minutes |
| Tennessee | 24.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 37033 Zip Code | Tennessee | U.S. |
| Workers 16 Years and Over | 2,770, 100% | 2,618,404 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,246, 81.08%, see rank | 81.74% | 75.70% |
| Car, Truck, or Van—Carpooled | 382, 13.79%, see rank | 12.54% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 4.73% |
| Walked | 25, 0.90%, see rank | 1.52% | 2.93% |
| Other Means | 16, 0.58%, see rank | 0.82% | 1.19% |
| Worked at Home | 101, 3.65%, see rank | 2.58% | 3.26% |
Mean Travel Time to Work, see rank| 37033 Zip Code | 30.6 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.
