29170 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 29170 Zip Code | South Carolina | U.S. |
Total Housing Units | 8,929, 100% | 2,160,383 | 132,741,033 |
1 Room | 52, 0.58%, see rank | 1.39% | 1.95% |
2 Rooms | 12, 0.13%, see rank | 1.26% | 2.48% |
3 Rooms | 142, 1.59%, see rank | 6.09% | 9.13% |
4 Rooms | 1,244, 13.93%, see rank | 16.98% | 16.60% |
5 Rooms | 2,920, 32.70%, see rank | 23.67% | 20.41% |
6 Rooms | 2,267, 25.39%, see rank | 19.72% | 18.06% |
7 Rooms | 1,104, 12.36%, see rank | 13.10% | 12.27% |
8 Rooms | 689, 7.72%, see rank | 8.38% | 8.48% |
9 Rooms or More | 499, 5.59%, see rank | 9.40% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 29170 Zip Code | South Carolina | U.S. |
Total Housing Units | 8,936, 100% | 2,134,456 | 131,642,457 |
1 Room | 43, 0.48%, see rank | 1.74% | 1.95% |
2 Rooms | 24, 0.27%, see rank | 1.13% | 2.36% |
3 Rooms | 189, 2.12%, see rank | 5.79% | 8.97% |
4 Rooms | 1,325, 14.83%, see rank | 16.81% | 16.57% |
5 Rooms | 2,521, 28.21%, see rank | 23.86% | 20.41% |
6 Rooms | 2,665, 29.82%, see rank | 19.99% | 18.25% |
7 Rooms | 1,040, 11.64%, see rank | 13.15% | 12.38% |
8 Rooms | 621, 6.95%, see rank | 8.37% | 8.59% |
9 Rooms or More | 508, 5.68%, see rank | 9.16% | 10.52% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 29170 Zip Code | South Carolina | U.S. |
Total Housing Units | 7,432, 100% | 1,753,670 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.60% | 2.20% |
2 Rooms | 83, 1.12%, see rank | 2.44% | 4.81% |
3 Rooms | 299, 4.02%, see rank | 6.83% | 9.84% |
4 Rooms | 937, 12.61%, see rank | 17.55% | 15.97% |
5 Rooms | 1,924, 25.89%, see rank | 24.95% | 20.89% |
6 Rooms | 2,048, 27.56%, see rank | 21.20% | 18.45% |
7 Rooms | 1,278, 17.20%, see rank | 13.00% | 12.06% |
8 Rooms | 512, 6.89%, see rank | 7.37% | 8.06% |
9 Rooms or More | 351, 4.72%, see rank | 6.06% | 7.70% |
Median Rooms | 5.70, 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.