39168 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 39168 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,732, 100% | 1,284,794 | 132,741,033 |
1 Room | 20, 0.73%, see rank | 1.21% | 1.95% |
2 Rooms | 27, 0.99%, see rank | 1.58% | 2.48% |
3 Rooms | 23, 0.84%, see rank | 6.13% | 9.13% |
4 Rooms | 447, 16.36%, see rank | 16.22% | 16.60% |
5 Rooms | 863, 31.59%, see rank | 26.42% | 20.41% |
6 Rooms | 595, 21.78%, see rank | 20.78% | 18.06% |
7 Rooms | 352, 12.88%, see rank | 12.73% | 12.27% |
8 Rooms | 227, 8.31%, see rank | 7.32% | 8.48% |
9 Rooms or More | 178, 6.52%, see rank | 7.61% | 10.60% |
Median Rooms | 5.50, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 39168 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,801, 100% | 1,274,277 | 131,642,457 |
1 Room | 31, 1.11%, see rank | 1.06% | 1.95% |
2 Rooms | 25, 0.89%, see rank | 1.41% | 2.36% |
3 Rooms | 42, 1.50%, see rank | 5.99% | 8.97% |
4 Rooms | 443, 15.82%, see rank | 16.10% | 16.57% |
5 Rooms | 814, 29.06%, see rank | 26.91% | 20.41% |
6 Rooms | 608, 21.71%, see rank | 20.86% | 18.25% |
7 Rooms | 484, 17.28%, see rank | 12.63% | 12.38% |
8 Rooms | 156, 5.57%, see rank | 7.49% | 8.59% |
9 Rooms or More | 198, 7.07%, see rank | 7.54% | 10.52% |
Median Rooms | 5.60, see rank | 5.40 | 5.50 |
US Census 2000 data
| 39168 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,532, 100% | 1,161,953 | 115,904,641 |
1 Room | 8, 0.32%, see rank | 0.73% | 2.20% |
2 Rooms | 98, 3.87%, see rank | 3.06% | 4.81% |
3 Rooms | 264, 10.43%, see rank | 8.23% | 9.84% |
4 Rooms | 345, 13.63%, see rank | 16.34% | 15.97% |
5 Rooms | 729, 28.79%, see rank | 27.21% | 20.89% |
6 Rooms | 587, 23.18%, see rank | 21.29% | 18.45% |
7 Rooms | 270, 10.66%, see rank | 11.84% | 12.06% |
8 Rooms | 132, 5.21%, see rank | 6.21% | 8.06% |
9 Rooms or More | 99, 3.91%, see rank | 5.10% | 7.70% |
Median Rooms | 5.30, 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.