29123 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29123 Zip Code | South Carolina | U.S. |
Total Housing Units | 3,231, 100% | 2,160,383 | 132,741,033 |
1 Room | 21, 0.65%, see rank | 1.39% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.26% | 2.48% |
3 Rooms | 64, 1.98%, see rank | 6.09% | 9.13% |
4 Rooms | 403, 12.47%, see rank | 16.98% | 16.60% |
5 Rooms | 998, 30.89%, see rank | 23.67% | 20.41% |
6 Rooms | 756, 23.40%, see rank | 19.72% | 18.06% |
7 Rooms | 568, 17.58%, see rank | 13.10% | 12.27% |
8 Rooms | 230, 7.12%, see rank | 8.38% | 8.48% |
9 Rooms or More | 191, 5.91%, see rank | 9.40% | 10.60% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29123 Zip Code | South Carolina | U.S. |
Total Housing Units | 3,080, 100% | 2,134,456 | 131,642,457 |
1 Room | 11, 0.36%, see rank | 1.74% | 1.95% |
2 Rooms | 72, 2.34%, see rank | 1.13% | 2.36% |
3 Rooms | 147, 4.77%, see rank | 5.79% | 8.97% |
4 Rooms | 436, 14.16%, see rank | 16.81% | 16.57% |
5 Rooms | 928, 30.13%, see rank | 23.86% | 20.41% |
6 Rooms | 632, 20.52%, see rank | 19.99% | 18.25% |
7 Rooms | 540, 17.53%, see rank | 13.15% | 12.38% |
8 Rooms | 246, 7.99%, see rank | 8.37% | 8.59% |
9 Rooms or More | 68, 2.21%, see rank | 9.16% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29123 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,425, 100% | 1,753,670 | 115,904,641 |
1 Room | 8, 0.33%, see rank | 0.60% | 2.20% |
2 Rooms | 28, 1.15%, see rank | 2.44% | 4.81% |
3 Rooms | 150, 6.19%, see rank | 6.83% | 9.84% |
4 Rooms | 371, 15.30%, see rank | 17.55% | 15.97% |
5 Rooms | 730, 30.10%, see rank | 24.95% | 20.89% |
6 Rooms | 463, 19.09%, see rank | 21.20% | 18.45% |
7 Rooms | 397, 16.37%, see rank | 13.00% | 12.06% |
8 Rooms | 188, 7.75%, see rank | 7.37% | 8.06% |
9 Rooms or More | 90, 3.71%, 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.