39525 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 39525 Zip Code | Mississippi | U.S. |
Total Housing Units | 4,113, 100% | 1,284,794 | 132,741,033 |
1 Room | 50, 1.22%, see rank | 1.21% | 1.95% |
2 Rooms | 16, 0.39%, see rank | 1.58% | 2.48% |
3 Rooms | 140, 3.40%, see rank | 6.13% | 9.13% |
4 Rooms | 332, 8.07%, see rank | 16.22% | 16.60% |
5 Rooms | 793, 19.28%, see rank | 26.42% | 20.41% |
6 Rooms | 1,398, 33.99%, see rank | 20.78% | 18.06% |
7 Rooms | 576, 14.00%, see rank | 12.73% | 12.27% |
8 Rooms | 545, 13.25%, see rank | 7.32% | 8.48% |
9 Rooms or More | 263, 6.39%, see rank | 7.61% | 10.60% |
Median Rooms | 6.00, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 39525 Zip Code | Mississippi | U.S. |
Total Housing Units | 4,074, 100% | 1,274,277 | 131,642,457 |
1 Room | 49, 1.20%, see rank | 1.06% | 1.95% |
2 Rooms | 23, 0.56%, see rank | 1.41% | 2.36% |
3 Rooms | 119, 2.92%, see rank | 5.99% | 8.97% |
4 Rooms | 398, 9.77%, see rank | 16.10% | 16.57% |
5 Rooms | 928, 22.78%, see rank | 26.91% | 20.41% |
6 Rooms | 1,199, 29.43%, see rank | 20.86% | 18.25% |
7 Rooms | 464, 11.39%, see rank | 12.63% | 12.38% |
8 Rooms | 572, 14.04%, see rank | 7.49% | 8.59% |
9 Rooms or More | 322, 7.90%, see rank | 7.54% | 10.52% |
Median Rooms | 5.90, see rank | 5.40 | 5.50 |
US Census 2000 data
| 39525 Zip Code | Mississippi | U.S. |
Total Housing Units | 3,077, 100% | 1,161,953 | 115,904,641 |
1 Room | 118, 3.83%, see rank | 0.73% | 2.20% |
2 Rooms | 45, 1.46%, see rank | 3.06% | 4.81% |
3 Rooms | 164, 5.33%, see rank | 8.23% | 9.84% |
4 Rooms | 240, 7.80%, see rank | 16.34% | 15.97% |
5 Rooms | 635, 20.64%, see rank | 27.21% | 20.89% |
6 Rooms | 872, 28.34%, see rank | 21.29% | 18.45% |
7 Rooms | 517, 16.80%, see rank | 11.84% | 12.06% |
8 Rooms | 228, 7.41%, see rank | 6.21% | 8.06% |
9 Rooms or More | 258, 8.38%, see rank | 5.10% | 7.70% |
Median Rooms | 5.90, 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.