29069 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29069 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,103, 100% | 2,160,383 | 132,741,033 |
1 Room | 7, 0.33%, see rank | 1.39% | 1.95% |
2 Rooms | 10, 0.48%, see rank | 1.26% | 2.48% |
3 Rooms | 34, 1.62%, see rank | 6.09% | 9.13% |
4 Rooms | 352, 16.74%, see rank | 16.98% | 16.60% |
5 Rooms | 689, 32.76%, see rank | 23.67% | 20.41% |
6 Rooms | 411, 19.54%, see rank | 19.72% | 18.06% |
7 Rooms | 270, 12.84%, see rank | 13.10% | 12.27% |
8 Rooms | 141, 6.70%, see rank | 8.38% | 8.48% |
9 Rooms or More | 189, 8.99%, see rank | 9.40% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29069 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,195, 100% | 2,134,456 | 131,642,457 |
1 Room | 5, 0.23%, see rank | 1.74% | 1.95% |
2 Rooms | 14, 0.64%, see rank | 1.13% | 2.36% |
3 Rooms | 44, 2.00%, see rank | 5.79% | 8.97% |
4 Rooms | 416, 18.95%, see rank | 16.81% | 16.57% |
5 Rooms | 746, 33.99%, see rank | 23.86% | 20.41% |
6 Rooms | 339, 15.44%, see rank | 19.99% | 18.25% |
7 Rooms | 275, 12.53%, see rank | 13.15% | 12.38% |
8 Rooms | 125, 5.69%, see rank | 8.37% | 8.59% |
9 Rooms or More | 231, 10.52%, see rank | 9.16% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29069 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,137, 100% | 1,753,670 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.60% | 2.20% |
2 Rooms | 75, 3.51%, see rank | 2.44% | 4.81% |
3 Rooms | 130, 6.08%, see rank | 6.83% | 9.84% |
4 Rooms | 243, 11.37%, see rank | 17.55% | 15.97% |
5 Rooms | 743, 34.77%, see rank | 24.95% | 20.89% |
6 Rooms | 456, 21.34%, see rank | 21.20% | 18.45% |
7 Rooms | 256, 11.98%, see rank | 13.00% | 12.06% |
8 Rooms | 104, 4.87%, see rank | 7.37% | 8.06% |
9 Rooms or More | 130, 6.08%, see rank | 6.06% | 7.70% |
Median Rooms | 5.30, 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.