29125 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29125 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,318, 100% | 2,160,383 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.39% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.26% | 2.48% |
3 Rooms | 73, 5.54%, see rank | 6.09% | 9.13% |
4 Rooms | 229, 17.37%, see rank | 16.98% | 16.60% |
5 Rooms | 261, 19.80%, see rank | 23.67% | 20.41% |
6 Rooms | 404, 30.65%, see rank | 19.72% | 18.06% |
7 Rooms | 197, 14.95%, see rank | 13.10% | 12.27% |
8 Rooms | 99, 7.51%, see rank | 8.38% | 8.48% |
9 Rooms or More | 55, 4.17%, see rank | 9.40% | 10.60% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29125 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,395, 100% | 2,134,456 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.74% | 1.95% |
2 Rooms | 14, 1.00%, see rank | 1.13% | 2.36% |
3 Rooms | 43, 3.08%, see rank | 5.79% | 8.97% |
4 Rooms | 124, 8.89%, see rank | 16.81% | 16.57% |
5 Rooms | 318, 22.80%, see rank | 23.86% | 20.41% |
6 Rooms | 508, 36.42%, see rank | 19.99% | 18.25% |
7 Rooms | 167, 11.97%, see rank | 13.15% | 12.38% |
8 Rooms | 171, 12.26%, see rank | 8.37% | 8.59% |
9 Rooms or More | 50, 3.58%, see rank | 9.16% | 10.52% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29125 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,503, 100% | 1,753,670 | 115,904,641 |
1 Room | 2, 0.13%, see rank | 0.60% | 2.20% |
2 Rooms | 30, 2.00%, see rank | 2.44% | 4.81% |
3 Rooms | 52, 3.46%, see rank | 6.83% | 9.84% |
4 Rooms | 219, 14.57%, see rank | 17.55% | 15.97% |
5 Rooms | 406, 27.01%, see rank | 24.95% | 20.89% |
6 Rooms | 294, 19.56%, see rank | 21.20% | 18.45% |
7 Rooms | 252, 16.77%, see rank | 13.00% | 12.06% |
8 Rooms | 141, 9.38%, see rank | 7.37% | 8.06% |
9 Rooms or More | 107, 7.12%, see rank | 6.06% | 7.70% |
Median Rooms | 5.60, 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.