37863 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 37863 Zip Code | Tennessee | U.S. |
Total Housing Units | 5,787, 100% | 2,839,142 | 132,741,033 |
1 Room | 123, 2.13%, see rank | 1.08% | 1.95% |
2 Rooms | 496, 8.57%, see rank | 1.43% | 2.48% |
3 Rooms | 1,063, 18.37%, see rank | 6.75% | 9.13% |
4 Rooms | 1,672, 28.89%, see rank | 16.35% | 16.60% |
5 Rooms | 929, 16.05%, see rank | 22.36% | 20.41% |
6 Rooms | 599, 10.35%, see rank | 19.26% | 18.06% |
7 Rooms | 467, 8.07%, see rank | 13.02% | 12.27% |
8 Rooms | 235, 4.06%, see rank | 8.63% | 8.48% |
9 Rooms or More | 203, 3.51%, see rank | 11.12% | 10.60% |
Median Rooms | 4.20, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 37863 Zip Code | Tennessee | U.S. |
Total Housing Units | 5,298, 100% | 2,811,854 | 131,642,457 |
1 Room | 117, 2.21%, see rank | 1.04% | 1.95% |
2 Rooms | 251, 4.74%, see rank | 1.34% | 2.36% |
3 Rooms | 793, 14.97%, see rank | 6.63% | 8.97% |
4 Rooms | 1,529, 28.86%, see rank | 16.28% | 16.57% |
5 Rooms | 1,052, 19.86%, see rank | 22.35% | 20.41% |
6 Rooms | 587, 11.08%, see rank | 19.63% | 18.25% |
7 Rooms | 425, 8.02%, see rank | 13.07% | 12.38% |
8 Rooms | 341, 6.44%, see rank | 8.75% | 8.59% |
9 Rooms or More | 203, 3.83%, see rank | 10.91% | 10.52% |
Median Rooms | 4.50, see rank | 5.60 | 5.50 |
US Census 2000 data
| 37863 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,818, 100% | 2,439,443 | 115,904,641 |
1 Room | 15, 0.53%, see rank | 0.87% | 2.20% |
2 Rooms | 46, 1.63%, see rank | 2.71% | 4.81% |
3 Rooms | 255, 9.05%, see rank | 7.07% | 9.84% |
4 Rooms | 775, 27.50%, see rank | 17.22% | 15.97% |
5 Rooms | 744, 26.40%, see rank | 23.98% | 20.89% |
6 Rooms | 501, 17.78%, see rank | 20.28% | 18.45% |
7 Rooms | 195, 6.92%, see rank | 12.62% | 12.06% |
8 Rooms | 125, 4.44%, see rank | 7.70% | 8.06% |
9 Rooms or More | 162, 5.75%, see rank | 7.55% | 7.70% |
Median Rooms | 4.90, see rank | 5.40 | 5.30 |
* 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.