29108 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29108 Zip Code | South Carolina | U.S. |
Total Housing Units | 8,475, 100% | 2,160,383 | 132,741,033 |
1 Room | 40, 0.47%, see rank | 1.39% | 1.95% |
2 Rooms | 84, 0.99%, see rank | 1.26% | 2.48% |
3 Rooms | 484, 5.71%, see rank | 6.09% | 9.13% |
4 Rooms | 1,903, 22.45%, see rank | 16.98% | 16.60% |
5 Rooms | 2,175, 25.66%, see rank | 23.67% | 20.41% |
6 Rooms | 1,712, 20.20%, see rank | 19.72% | 18.06% |
7 Rooms | 994, 11.73%, see rank | 13.10% | 12.27% |
8 Rooms | 526, 6.21%, see rank | 8.38% | 8.48% |
9 Rooms or More | 557, 6.57%, see rank | 9.40% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29108 Zip Code | South Carolina | U.S. |
Total Housing Units | 8,914, 100% | 2,134,456 | 131,642,457 |
1 Room | 50, 0.56%, see rank | 1.74% | 1.95% |
2 Rooms | 64, 0.72%, see rank | 1.13% | 2.36% |
3 Rooms | 429, 4.81%, see rank | 5.79% | 8.97% |
4 Rooms | 1,956, 21.94%, see rank | 16.81% | 16.57% |
5 Rooms | 2,247, 25.21%, see rank | 23.86% | 20.41% |
6 Rooms | 1,704, 19.12%, see rank | 19.99% | 18.25% |
7 Rooms | 1,313, 14.73%, see rank | 13.15% | 12.38% |
8 Rooms | 456, 5.12%, see rank | 8.37% | 8.59% |
9 Rooms or More | 695, 7.80%, see rank | 9.16% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29108 Zip Code | South Carolina | U.S. |
Total Housing Units | 8,292, 100% | 1,753,670 | 115,904,641 |
1 Room | 24, 0.29%, see rank | 0.60% | 2.20% |
2 Rooms | 264, 3.18%, see rank | 2.44% | 4.81% |
3 Rooms | 644, 7.77%, see rank | 6.83% | 9.84% |
4 Rooms | 1,523, 18.37%, see rank | 17.55% | 15.97% |
5 Rooms | 2,266, 27.33%, see rank | 24.95% | 20.89% |
6 Rooms | 1,683, 20.30%, see rank | 21.20% | 18.45% |
7 Rooms | 944, 11.38%, see rank | 13.00% | 12.06% |
8 Rooms | 521, 6.28%, see rank | 7.37% | 8.06% |
9 Rooms or More | 423, 5.10%, see rank | 6.06% | 7.70% |
Median Rooms | 5.20, 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.