39666 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 39666 Zip Code | Mississippi | U.S. |
Total Housing Units | 3,976, 100% | 1,284,794 | 132,741,033 |
1 Room | 40, 1.01%, see rank | 1.21% | 1.95% |
2 Rooms | 53, 1.33%, see rank | 1.58% | 2.48% |
3 Rooms | 44, 1.11%, see rank | 6.13% | 9.13% |
4 Rooms | 529, 13.30%, see rank | 16.22% | 16.60% |
5 Rooms | 1,174, 29.53%, see rank | 26.42% | 20.41% |
6 Rooms | 938, 23.59%, see rank | 20.78% | 18.06% |
7 Rooms | 551, 13.86%, see rank | 12.73% | 12.27% |
8 Rooms | 292, 7.34%, see rank | 7.32% | 8.48% |
9 Rooms or More | 355, 8.93%, see rank | 7.61% | 10.60% |
Median Rooms | 5.70, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 39666 Zip Code | Mississippi | U.S. |
Total Housing Units | 4,000, 100% | 1,274,277 | 131,642,457 |
1 Room | 38, 0.95%, see rank | 1.06% | 1.95% |
2 Rooms | 29, 0.73%, see rank | 1.41% | 2.36% |
3 Rooms | 122, 3.05%, see rank | 5.99% | 8.97% |
4 Rooms | 406, 10.15%, see rank | 16.10% | 16.57% |
5 Rooms | 1,318, 32.95%, see rank | 26.91% | 20.41% |
6 Rooms | 867, 21.68%, see rank | 20.86% | 18.25% |
7 Rooms | 651, 16.28%, see rank | 12.63% | 12.38% |
8 Rooms | 238, 5.95%, see rank | 7.49% | 8.59% |
9 Rooms or More | 331, 8.28%, see rank | 7.54% | 10.52% |
Median Rooms | 5.60, see rank | 5.40 | 5.50 |
US Census 2000 data
| 39666 Zip Code | Mississippi | U.S. |
Total Housing Units | 3,953, 100% | 1,161,953 | 115,904,641 |
1 Room | 9, 0.23%, see rank | 0.73% | 2.20% |
2 Rooms | 57, 1.44%, see rank | 3.06% | 4.81% |
3 Rooms | 183, 4.63%, see rank | 8.23% | 9.84% |
4 Rooms | 538, 13.61%, see rank | 16.34% | 15.97% |
5 Rooms | 1,079, 27.30%, see rank | 27.21% | 20.89% |
6 Rooms | 964, 24.39%, see rank | 21.29% | 18.45% |
7 Rooms | 566, 14.32%, see rank | 11.84% | 12.06% |
8 Rooms | 246, 6.22%, see rank | 6.21% | 8.06% |
9 Rooms or More | 311, 7.87%, see rank | 5.10% | 7.70% |
Median Rooms | 5.60, 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.