39170 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 39170 Zip Code | Mississippi | U.S. |
Total Housing Units | 3,857, 100% | 1,284,794 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.21% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.58% | 2.48% |
3 Rooms | 126, 3.27%, see rank | 6.13% | 9.13% |
4 Rooms | 669, 17.35%, see rank | 16.22% | 16.60% |
5 Rooms | 737, 19.11%, see rank | 26.42% | 20.41% |
6 Rooms | 1,078, 27.95%, see rank | 20.78% | 18.06% |
7 Rooms | 430, 11.15%, see rank | 12.73% | 12.27% |
8 Rooms | 378, 9.80%, see rank | 7.32% | 8.48% |
9 Rooms or More | 439, 11.38%, see rank | 7.61% | 10.60% |
Median Rooms | 5.90, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 39170 Zip Code | Mississippi | U.S. |
Total Housing Units | 3,871, 100% | 1,274,277 | 131,642,457 |
1 Room | 17, 0.44%, see rank | 1.06% | 1.95% |
2 Rooms | 44, 1.14%, see rank | 1.41% | 2.36% |
3 Rooms | 100, 2.58%, see rank | 5.99% | 8.97% |
4 Rooms | 519, 13.41%, see rank | 16.10% | 16.57% |
5 Rooms | 834, 21.54%, see rank | 26.91% | 20.41% |
6 Rooms | 1,002, 25.88%, see rank | 20.86% | 18.25% |
7 Rooms | 472, 12.19%, see rank | 12.63% | 12.38% |
8 Rooms | 415, 10.72%, see rank | 7.49% | 8.59% |
9 Rooms or More | 468, 12.09%, see rank | 7.54% | 10.52% |
Median Rooms | 5.90, see rank | 5.40 | 5.50 |
US Census 2000 data
| 39170 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,756, 100% | 1,161,953 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.73% | 2.20% |
2 Rooms | 29, 1.05%, see rank | 3.06% | 4.81% |
3 Rooms | 106, 3.85%, see rank | 8.23% | 9.84% |
4 Rooms | 242, 8.78%, see rank | 16.34% | 15.97% |
5 Rooms | 501, 18.18%, see rank | 27.21% | 20.89% |
6 Rooms | 815, 29.57%, see rank | 21.29% | 18.45% |
7 Rooms | 497, 18.03%, see rank | 11.84% | 12.06% |
8 Rooms | 257, 9.33%, see rank | 6.21% | 8.06% |
9 Rooms or More | 309, 11.21%, see rank | 5.10% | 7.70% |
Median Rooms | 6.10, 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.