37030 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 37030 Zip Code | Tennessee | U.S. |
Total Housing Units | 3,124, 100% | 2,839,142 | 132,741,033 |
1 Room | 29, 0.93%, see rank | 1.08% | 1.95% |
2 Rooms | 34, 1.09%, see rank | 1.43% | 2.48% |
3 Rooms | 240, 7.68%, see rank | 6.75% | 9.13% |
4 Rooms | 490, 15.69%, see rank | 16.35% | 16.60% |
5 Rooms | 670, 21.45%, see rank | 22.36% | 20.41% |
6 Rooms | 720, 23.05%, see rank | 19.26% | 18.06% |
7 Rooms | 474, 15.17%, see rank | 13.02% | 12.27% |
8 Rooms | 250, 8.00%, see rank | 8.63% | 8.48% |
9 Rooms or More | 217, 6.95%, see rank | 11.12% | 10.60% |
Median Rooms | 5.60, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 37030 Zip Code | Tennessee | U.S. |
Total Housing Units | 3,194, 100% | 2,811,854 | 131,642,457 |
1 Room | 27, 0.85%, see rank | 1.04% | 1.95% |
2 Rooms | 45, 1.41%, see rank | 1.34% | 2.36% |
3 Rooms | 235, 7.36%, see rank | 6.63% | 8.97% |
4 Rooms | 427, 13.37%, see rank | 16.28% | 16.57% |
5 Rooms | 773, 24.20%, see rank | 22.35% | 20.41% |
6 Rooms | 695, 21.76%, see rank | 19.63% | 18.25% |
7 Rooms | 437, 13.68%, see rank | 13.07% | 12.38% |
8 Rooms | 241, 7.55%, see rank | 8.75% | 8.59% |
9 Rooms or More | 314, 9.83%, see rank | 10.91% | 10.52% |
Median Rooms | 5.60, see rank | 5.60 | 5.50 |
US Census 2000 data
| 37030 Zip Code | Tennessee | U.S. |
Total Housing Units | 3,129, 100% | 2,439,443 | 115,904,641 |
1 Room | 7, 0.22%, see rank | 0.87% | 2.20% |
2 Rooms | 57, 1.82%, see rank | 2.71% | 4.81% |
3 Rooms | 252, 8.05%, see rank | 7.07% | 9.84% |
4 Rooms | 641, 20.49%, see rank | 17.22% | 15.97% |
5 Rooms | 645, 20.61%, see rank | 23.98% | 20.89% |
6 Rooms | 634, 20.26%, see rank | 20.28% | 18.45% |
7 Rooms | 395, 12.62%, see rank | 12.62% | 12.06% |
8 Rooms | 236, 7.54%, see rank | 7.70% | 8.06% |
9 Rooms or More | 262, 8.37%, see rank | 7.55% | 7.70% |
Median Rooms | 5.40, 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.