29664 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29664 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,254, 100% | 2,160,383 | 132,741,033 |
1 Room | 25, 1.99%, see rank | 1.39% | 1.95% |
2 Rooms | 8, 0.64%, see rank | 1.26% | 2.48% |
3 Rooms | 126, 10.05%, see rank | 6.09% | 9.13% |
4 Rooms | 280, 22.33%, see rank | 16.98% | 16.60% |
5 Rooms | 360, 28.71%, see rank | 23.67% | 20.41% |
6 Rooms | 161, 12.84%, see rank | 19.72% | 18.06% |
7 Rooms | 114, 9.09%, see rank | 13.10% | 12.27% |
8 Rooms | 71, 5.66%, see rank | 8.38% | 8.48% |
9 Rooms or More | 109, 8.69%, see rank | 9.40% | 10.60% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29664 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,173, 100% | 2,134,456 | 131,642,457 |
1 Room | 60, 5.12%, see rank | 1.74% | 1.95% |
2 Rooms | 16, 1.36%, see rank | 1.13% | 2.36% |
3 Rooms | 130, 11.08%, see rank | 5.79% | 8.97% |
4 Rooms | 214, 18.24%, see rank | 16.81% | 16.57% |
5 Rooms | 274, 23.36%, see rank | 23.86% | 20.41% |
6 Rooms | 203, 17.31%, see rank | 19.99% | 18.25% |
7 Rooms | 121, 10.32%, see rank | 13.15% | 12.38% |
8 Rooms | 81, 6.91%, see rank | 8.37% | 8.59% |
9 Rooms or More | 74, 6.31%, see rank | 9.16% | 10.52% |
Median Rooms | 5.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29664 Zip Code | South Carolina | U.S. |
Total Housing Units | 861, 100% | 1,753,670 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.60% | 2.20% |
2 Rooms | 33, 3.83%, see rank | 2.44% | 4.81% |
3 Rooms | 82, 9.52%, see rank | 6.83% | 9.84% |
4 Rooms | 258, 29.97%, see rank | 17.55% | 15.97% |
5 Rooms | 189, 21.95%, see rank | 24.95% | 20.89% |
6 Rooms | 163, 18.93%, see rank | 21.20% | 18.45% |
7 Rooms | 92, 10.69%, see rank | 13.00% | 12.06% |
8 Rooms | 12, 1.39%, see rank | 7.37% | 8.06% |
9 Rooms or More | 32, 3.72%, see rank | 6.06% | 7.70% |
Median Rooms | 4.80, 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.