29714 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29714 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,337, 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 | 30, 2.24%, see rank | 6.09% | 9.13% |
4 Rooms | 297, 22.21%, see rank | 16.98% | 16.60% |
5 Rooms | 423, 31.64%, see rank | 23.67% | 20.41% |
6 Rooms | 307, 22.96%, see rank | 19.72% | 18.06% |
7 Rooms | 216, 16.16%, see rank | 13.10% | 12.27% |
8 Rooms | 34, 2.54%, see rank | 8.38% | 8.48% |
9 Rooms or More | 30, 2.24%, see rank | 9.40% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29714 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,254, 100% | 2,134,456 | 131,642,457 |
1 Room | 11, 0.88%, see rank | 1.74% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.13% | 2.36% |
3 Rooms | 56, 4.47%, see rank | 5.79% | 8.97% |
4 Rooms | 193, 15.39%, see rank | 16.81% | 16.57% |
5 Rooms | 339, 27.03%, see rank | 23.86% | 20.41% |
6 Rooms | 340, 27.11%, see rank | 19.99% | 18.25% |
7 Rooms | 220, 17.54%, see rank | 13.15% | 12.38% |
8 Rooms | 68, 5.42%, see rank | 8.37% | 8.59% |
9 Rooms or More | 27, 2.15%, see rank | 9.16% | 10.52% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29714 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,162, 100% | 1,753,670 | 115,904,641 |
1 Room | 3, 0.26%, see rank | 0.60% | 2.20% |
2 Rooms | 10, 0.86%, see rank | 2.44% | 4.81% |
3 Rooms | 68, 5.85%, see rank | 6.83% | 9.84% |
4 Rooms | 190, 16.35%, see rank | 17.55% | 15.97% |
5 Rooms | 380, 32.70%, see rank | 24.95% | 20.89% |
6 Rooms | 297, 25.56%, see rank | 21.20% | 18.45% |
7 Rooms | 107, 9.21%, see rank | 13.00% | 12.06% |
8 Rooms | 62, 5.34%, see rank | 7.37% | 8.06% |
9 Rooms or More | 45, 3.87%, 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.