29832 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29832 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,395, 100% | 2,160,383 | 132,741,033 |
1 Room | 90, 3.76%, see rank | 1.39% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.26% | 2.48% |
3 Rooms | 141, 5.89%, see rank | 6.09% | 9.13% |
4 Rooms | 358, 14.95%, see rank | 16.98% | 16.60% |
5 Rooms | 703, 29.35%, see rank | 23.67% | 20.41% |
6 Rooms | 513, 21.42%, see rank | 19.72% | 18.06% |
7 Rooms | 296, 12.36%, see rank | 13.10% | 12.27% |
8 Rooms | 142, 5.93%, see rank | 8.38% | 8.48% |
9 Rooms or More | 152, 6.35%, see rank | 9.40% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29832 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,467, 100% | 2,134,456 | 131,642,457 |
1 Room | 42, 1.70%, see rank | 1.74% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.13% | 2.36% |
3 Rooms | 151, 6.12%, see rank | 5.79% | 8.97% |
4 Rooms | 337, 13.66%, see rank | 16.81% | 16.57% |
5 Rooms | 571, 23.15%, see rank | 23.86% | 20.41% |
6 Rooms | 598, 24.24%, see rank | 19.99% | 18.25% |
7 Rooms | 362, 14.67%, see rank | 13.15% | 12.38% |
8 Rooms | 145, 5.88%, see rank | 8.37% | 8.59% |
9 Rooms or More | 261, 10.58%, see rank | 9.16% | 10.52% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29832 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,320, 100% | 1,753,670 | 115,904,641 |
1 Room | 30, 1.29%, see rank | 0.60% | 2.20% |
2 Rooms | 45, 1.94%, see rank | 2.44% | 4.81% |
3 Rooms | 176, 7.59%, see rank | 6.83% | 9.84% |
4 Rooms | 337, 14.53%, see rank | 17.55% | 15.97% |
5 Rooms | 603, 25.99%, see rank | 24.95% | 20.89% |
6 Rooms | 486, 20.95%, see rank | 21.20% | 18.45% |
7 Rooms | 260, 11.21%, see rank | 13.00% | 12.06% |
8 Rooms | 180, 7.76%, see rank | 7.37% | 8.06% |
9 Rooms or More | 203, 8.75%, see rank | 6.06% | 7.70% |
Median Rooms | 5.40, see rank | 5.40 | 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.