29628 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29628 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,293, 100% | 2,160,383 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.39% | 1.95% |
2 Rooms | 27, 2.09%, see rank | 1.26% | 2.48% |
3 Rooms | 73, 5.65%, see rank | 6.09% | 9.13% |
4 Rooms | 358, 27.69%, see rank | 16.98% | 16.60% |
5 Rooms | 276, 21.35%, see rank | 23.67% | 20.41% |
6 Rooms | 335, 25.91%, see rank | 19.72% | 18.06% |
7 Rooms | 112, 8.66%, see rank | 13.10% | 12.27% |
8 Rooms | 97, 7.50%, see rank | 8.38% | 8.48% |
9 Rooms or More | 15, 1.16%, see rank | 9.40% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29628 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,423, 100% | 2,134,456 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.74% | 1.95% |
2 Rooms | 8, 0.56%, see rank | 1.13% | 2.36% |
3 Rooms | 147, 10.33%, see rank | 5.79% | 8.97% |
4 Rooms | 364, 25.58%, see rank | 16.81% | 16.57% |
5 Rooms | 227, 15.95%, see rank | 23.86% | 20.41% |
6 Rooms | 411, 28.88%, see rank | 19.99% | 18.25% |
7 Rooms | 147, 10.33%, see rank | 13.15% | 12.38% |
8 Rooms | 103, 7.24%, see rank | 8.37% | 8.59% |
9 Rooms or More | 16, 1.12%, see rank | 9.16% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29628 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,475, 100% | 1,753,670 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.60% | 2.20% |
2 Rooms | 13, 0.88%, see rank | 2.44% | 4.81% |
3 Rooms | 114, 7.73%, see rank | 6.83% | 9.84% |
4 Rooms | 311, 21.08%, see rank | 17.55% | 15.97% |
5 Rooms | 349, 23.66%, see rank | 24.95% | 20.89% |
6 Rooms | 364, 24.68%, see rank | 21.20% | 18.45% |
7 Rooms | 228, 15.46%, see rank | 13.00% | 12.06% |
8 Rooms | 69, 4.68%, see rank | 7.37% | 8.06% |
9 Rooms or More | 27, 1.83%, 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.