37681 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 37681 Zip Code | Tennessee | U.S. |
Total Housing Units | 3,017, 100% | 2,839,142 | 132,741,033 |
1 Room | 46, 1.52%, see rank | 1.08% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.43% | 2.48% |
3 Rooms | 170, 5.63%, see rank | 6.75% | 9.13% |
4 Rooms | 534, 17.70%, see rank | 16.35% | 16.60% |
5 Rooms | 748, 24.79%, see rank | 22.36% | 20.41% |
6 Rooms | 586, 19.42%, see rank | 19.26% | 18.06% |
7 Rooms | 415, 13.76%, see rank | 13.02% | 12.27% |
8 Rooms | 181, 6.00%, see rank | 8.63% | 8.48% |
9 Rooms or More | 337, 11.17%, see rank | 11.12% | 10.60% |
Median Rooms | 5.50, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 37681 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,853, 100% | 2,811,854 | 131,642,457 |
1 Room | 11, 0.39%, see rank | 1.04% | 1.95% |
2 Rooms | 8, 0.28%, see rank | 1.34% | 2.36% |
3 Rooms | 98, 3.43%, see rank | 6.63% | 8.97% |
4 Rooms | 391, 13.70%, see rank | 16.28% | 16.57% |
5 Rooms | 754, 26.43%, see rank | 22.35% | 20.41% |
6 Rooms | 639, 22.40%, see rank | 19.63% | 18.25% |
7 Rooms | 370, 12.97%, see rank | 13.07% | 12.38% |
8 Rooms | 223, 7.82%, see rank | 8.75% | 8.59% |
9 Rooms or More | 359, 12.58%, see rank | 10.91% | 10.52% |
Median Rooms | 5.80, see rank | 5.60 | 5.50 |
US Census 2000 data
| 37681 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,575, 100% | 2,439,443 | 115,904,641 |
1 Room | 22, 0.85%, see rank | 0.87% | 2.20% |
2 Rooms | 23, 0.89%, see rank | 2.71% | 4.81% |
3 Rooms | 103, 4.00%, see rank | 7.07% | 9.84% |
4 Rooms | 465, 18.06%, see rank | 17.22% | 15.97% |
5 Rooms | 679, 26.37%, see rank | 23.98% | 20.89% |
6 Rooms | 664, 25.79%, see rank | 20.28% | 18.45% |
7 Rooms | 286, 11.11%, see rank | 12.62% | 12.06% |
8 Rooms | 169, 6.56%, see rank | 7.70% | 8.06% |
9 Rooms or More | 164, 6.37%, see rank | 7.55% | 7.70% |
Median Rooms | 5.50, 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.