27806 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27806 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,531, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 20, 1.31%, see rank | 1.51% | 2.48% |
3 Rooms | 106, 6.92%, see rank | 6.93% | 9.13% |
4 Rooms | 372, 24.30%, see rank | 17.44% | 16.60% |
5 Rooms | 300, 19.60%, see rank | 23.63% | 20.41% |
6 Rooms | 355, 23.19%, see rank | 18.81% | 18.06% |
7 Rooms | 152, 9.93%, see rank | 12.36% | 12.27% |
8 Rooms | 127, 8.30%, see rank | 8.08% | 8.48% |
9 Rooms or More | 99, 6.47%, see rank | 10.08% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27806 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,562, 100% | 4,325,088 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 27, 1.73%, see rank | 1.37% | 2.36% |
3 Rooms | 165, 10.56%, see rank | 6.83% | 8.97% |
4 Rooms | 481, 30.79%, see rank | 17.81% | 16.57% |
5 Rooms | 209, 13.38%, see rank | 23.85% | 20.41% |
6 Rooms | 254, 16.26%, see rank | 18.84% | 18.25% |
7 Rooms | 161, 10.31%, see rank | 12.34% | 12.38% |
8 Rooms | 101, 6.47%, see rank | 8.08% | 8.59% |
9 Rooms or More | 164, 10.50%, see rank | 9.80% | 10.52% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27806 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,547, 100% | 3,523,944 | 115,904,641 |
1 Room | 2, 0.13%, see rank | 0.76% | 2.20% |
2 Rooms | 23, 1.49%, see rank | 2.83% | 4.81% |
3 Rooms | 76, 4.91%, see rank | 6.94% | 9.84% |
4 Rooms | 263, 17.00%, see rank | 18.34% | 15.97% |
5 Rooms | 463, 29.93%, see rank | 25.93% | 20.89% |
6 Rooms | 413, 26.70%, see rank | 19.80% | 18.45% |
7 Rooms | 206, 13.32%, see rank | 11.57% | 12.06% |
8 Rooms | 80, 5.17%, see rank | 7.07% | 8.06% |
9 Rooms or More | 21, 1.36%, see rank | 6.75% | 7.70% |
Median Rooms | 5.40, see rank | 5.30 | 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.