29429 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29429 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,386, 100% | 2,160,383 | 132,741,033 |
1 Room | 19, 1.37%, see rank | 1.39% | 1.95% |
2 Rooms | 20, 1.44%, see rank | 1.26% | 2.48% |
3 Rooms | 54, 3.90%, see rank | 6.09% | 9.13% |
4 Rooms | 82, 5.92%, see rank | 16.98% | 16.60% |
5 Rooms | 237, 17.10%, see rank | 23.67% | 20.41% |
6 Rooms | 141, 10.17%, see rank | 19.72% | 18.06% |
7 Rooms | 331, 23.88%, see rank | 13.10% | 12.27% |
8 Rooms | 251, 18.11%, see rank | 8.38% | 8.48% |
9 Rooms or More | 251, 18.11%, see rank | 9.40% | 10.60% |
Median Rooms | 6.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29429 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,200, 100% | 2,134,456 | 131,642,457 |
1 Room | 18, 1.50%, see rank | 1.74% | 1.95% |
2 Rooms | 18, 1.50%, see rank | 1.13% | 2.36% |
3 Rooms | 25, 2.08%, see rank | 5.79% | 8.97% |
4 Rooms | 78, 6.50%, see rank | 16.81% | 16.57% |
5 Rooms | 175, 14.58%, see rank | 23.86% | 20.41% |
6 Rooms | 244, 20.33%, see rank | 19.99% | 18.25% |
7 Rooms | 220, 18.33%, see rank | 13.15% | 12.38% |
8 Rooms | 209, 17.42%, see rank | 8.37% | 8.59% |
9 Rooms or More | 213, 17.75%, see rank | 9.16% | 10.52% |
Median Rooms | 6.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29429 Zip Code | South Carolina | U.S. |
Total Housing Units | 1,089, 100% | 1,753,670 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.60% | 2.20% |
2 Rooms | 40, 3.67%, see rank | 2.44% | 4.81% |
3 Rooms | 41, 3.76%, see rank | 6.83% | 9.84% |
4 Rooms | 110, 10.10%, see rank | 17.55% | 15.97% |
5 Rooms | 241, 22.13%, see rank | 24.95% | 20.89% |
6 Rooms | 177, 16.25%, see rank | 21.20% | 18.45% |
7 Rooms | 196, 18.00%, see rank | 13.00% | 12.06% |
8 Rooms | 148, 13.59%, see rank | 7.37% | 8.06% |
9 Rooms or More | 136, 12.49%, see rank | 6.06% | 7.70% |
Median Rooms | 6.10, 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.