37184 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 37184 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,557, 100% | 2,839,142 | 132,741,033 |
1 Room | 19, 0.74%, see rank | 1.08% | 1.95% |
2 Rooms | 11, 0.43%, see rank | 1.43% | 2.48% |
3 Rooms | 55, 2.15%, see rank | 6.75% | 9.13% |
4 Rooms | 398, 15.57%, see rank | 16.35% | 16.60% |
5 Rooms | 505, 19.75%, see rank | 22.36% | 20.41% |
6 Rooms | 658, 25.73%, see rank | 19.26% | 18.06% |
7 Rooms | 380, 14.86%, see rank | 13.02% | 12.27% |
8 Rooms | 292, 11.42%, see rank | 8.63% | 8.48% |
9 Rooms or More | 239, 9.35%, see rank | 11.12% | 10.60% |
Median Rooms | 5.90, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 37184 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,836, 100% | 2,811,854 | 131,642,457 |
1 Room | 15, 0.53%, see rank | 1.04% | 1.95% |
2 Rooms | 14, 0.49%, see rank | 1.34% | 2.36% |
3 Rooms | 62, 2.19%, see rank | 6.63% | 8.97% |
4 Rooms | 463, 16.33%, see rank | 16.28% | 16.57% |
5 Rooms | 712, 25.11%, see rank | 22.35% | 20.41% |
6 Rooms | 619, 21.83%, see rank | 19.63% | 18.25% |
7 Rooms | 449, 15.83%, see rank | 13.07% | 12.38% |
8 Rooms | 280, 9.87%, see rank | 8.75% | 8.59% |
9 Rooms or More | 222, 7.83%, see rank | 10.91% | 10.52% |
Median Rooms | 5.70, see rank | 5.60 | 5.50 |
US Census 2000 data
| 37184 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,311, 100% | 2,439,443 | 115,904,641 |
1 Room | 12, 0.52%, see rank | 0.87% | 2.20% |
2 Rooms | 19, 0.82%, see rank | 2.71% | 4.81% |
3 Rooms | 115, 4.98%, see rank | 7.07% | 9.84% |
4 Rooms | 276, 11.94%, see rank | 17.22% | 15.97% |
5 Rooms | 649, 28.08%, see rank | 23.98% | 20.89% |
6 Rooms | 564, 24.41%, see rank | 20.28% | 18.45% |
7 Rooms | 326, 14.11%, see rank | 12.62% | 12.06% |
8 Rooms | 182, 7.88%, see rank | 7.70% | 8.06% |
9 Rooms or More | 168, 7.27%, see rank | 7.55% | 7.70% |
Median Rooms | 5.60, 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.