38225 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 38225 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,838, 100% | 2,839,142 | 132,741,033 |
1 Room | 3, 0.11%, see rank | 1.08% | 1.95% |
2 Rooms | 10, 0.35%, see rank | 1.43% | 2.48% |
3 Rooms | 137, 4.83%, see rank | 6.75% | 9.13% |
4 Rooms | 483, 17.02%, see rank | 16.35% | 16.60% |
5 Rooms | 420, 14.80%, see rank | 22.36% | 20.41% |
6 Rooms | 782, 27.55%, see rank | 19.26% | 18.06% |
7 Rooms | 535, 18.85%, see rank | 13.02% | 12.27% |
8 Rooms | 237, 8.35%, see rank | 8.63% | 8.48% |
9 Rooms or More | 231, 8.14%, see rank | 11.12% | 10.60% |
Median Rooms | 6.00, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 38225 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,585, 100% | 2,811,854 | 131,642,457 |
1 Room | 29, 1.12%, see rank | 1.04% | 1.95% |
2 Rooms | 10, 0.39%, see rank | 1.34% | 2.36% |
3 Rooms | 101, 3.91%, see rank | 6.63% | 8.97% |
4 Rooms | 474, 18.34%, see rank | 16.28% | 16.57% |
5 Rooms | 480, 18.57%, see rank | 22.35% | 20.41% |
6 Rooms | 644, 24.91%, see rank | 19.63% | 18.25% |
7 Rooms | 548, 21.20%, see rank | 13.07% | 12.38% |
8 Rooms | 126, 4.87%, see rank | 8.75% | 8.59% |
9 Rooms or More | 173, 6.69%, see rank | 10.91% | 10.52% |
Median Rooms | 5.80, see rank | 5.60 | 5.50 |
US Census 2000 data
| 38225 Zip Code | Tennessee | U.S. |
Total Housing Units | 2,808, 100% | 2,439,443 | 115,904,641 |
1 Room | 15, 0.53%, see rank | 0.87% | 2.20% |
2 Rooms | 51, 1.82%, see rank | 2.71% | 4.81% |
3 Rooms | 117, 4.17%, see rank | 7.07% | 9.84% |
4 Rooms | 445, 15.85%, see rank | 17.22% | 15.97% |
5 Rooms | 854, 30.41%, see rank | 23.98% | 20.89% |
6 Rooms | 668, 23.79%, see rank | 20.28% | 18.45% |
7 Rooms | 391, 13.92%, see rank | 12.62% | 12.06% |
8 Rooms | 145, 5.16%, see rank | 7.70% | 8.06% |
9 Rooms or More | 122, 4.34%, 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.