38646 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 38646 Zip Code | Mississippi | U.S. |
Total Housing Units | 1,416, 100% | 1,284,794 | 132,741,033 |
1 Room | 20, 1.41%, see rank | 1.21% | 1.95% |
2 Rooms | 18, 1.27%, see rank | 1.58% | 2.48% |
3 Rooms | 50, 3.53%, see rank | 6.13% | 9.13% |
4 Rooms | 142, 10.03%, see rank | 16.22% | 16.60% |
5 Rooms | 384, 27.12%, see rank | 26.42% | 20.41% |
6 Rooms | 271, 19.14%, see rank | 20.78% | 18.06% |
7 Rooms | 237, 16.74%, see rank | 12.73% | 12.27% |
8 Rooms | 96, 6.78%, see rank | 7.32% | 8.48% |
9 Rooms or More | 198, 13.98%, see rank | 7.61% | 10.60% |
Median Rooms | 5.80, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 38646 Zip Code | Mississippi | U.S. |
Total Housing Units | 1,404, 100% | 1,274,277 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 35, 2.49%, see rank | 1.41% | 2.36% |
3 Rooms | 42, 2.99%, see rank | 5.99% | 8.97% |
4 Rooms | 159, 11.32%, see rank | 16.10% | 16.57% |
5 Rooms | 415, 29.56%, see rank | 26.91% | 20.41% |
6 Rooms | 277, 19.73%, see rank | 20.86% | 18.25% |
7 Rooms | 247, 17.59%, see rank | 12.63% | 12.38% |
8 Rooms | 86, 6.13%, see rank | 7.49% | 8.59% |
9 Rooms or More | 143, 10.19%, see rank | 7.54% | 10.52% |
Median Rooms | 5.70, see rank | 5.40 | 5.50 |
US Census 2000 data
| 38646 Zip Code | Mississippi | U.S. |
Total Housing Units | 1,475, 100% | 1,161,953 | 115,904,641 |
1 Room | 4, 0.27%, see rank | 0.73% | 2.20% |
2 Rooms | 23, 1.56%, see rank | 3.06% | 4.81% |
3 Rooms | 93, 6.31%, see rank | 8.23% | 9.84% |
4 Rooms | 188, 12.75%, see rank | 16.34% | 15.97% |
5 Rooms | 352, 23.86%, see rank | 27.21% | 20.89% |
6 Rooms | 393, 26.64%, see rank | 21.29% | 18.45% |
7 Rooms | 189, 12.81%, see rank | 11.84% | 12.06% |
8 Rooms | 160, 10.85%, see rank | 6.21% | 8.06% |
9 Rooms or More | 73, 4.95%, see rank | 5.10% | 7.70% |
Median Rooms | 5.70, see rank | 5.30 | 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.