27820 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27820 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,495, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.51% | 2.48% |
3 Rooms | 9, 0.60%, see rank | 6.93% | 9.13% |
4 Rooms | 180, 12.04%, see rank | 17.44% | 16.60% |
5 Rooms | 521, 34.85%, see rank | 23.63% | 20.41% |
6 Rooms | 298, 19.93%, see rank | 18.81% | 18.06% |
7 Rooms | 233, 15.59%, see rank | 12.36% | 12.27% |
8 Rooms | 118, 7.89%, see rank | 8.08% | 8.48% |
9 Rooms or More | 136, 9.10%, see rank | 10.08% | 10.60% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27820 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,305, 100% | 4,325,088 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.37% | 2.36% |
3 Rooms | 14, 1.07%, see rank | 6.83% | 8.97% |
4 Rooms | 169, 12.95%, see rank | 17.81% | 16.57% |
5 Rooms | 338, 25.90%, see rank | 23.85% | 20.41% |
6 Rooms | 429, 32.87%, see rank | 18.84% | 18.25% |
7 Rooms | 197, 15.10%, see rank | 12.34% | 12.38% |
8 Rooms | 99, 7.59%, see rank | 8.08% | 8.59% |
9 Rooms or More | 59, 4.52%, see rank | 9.80% | 10.52% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27820 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,227, 100% | 3,523,944 | 115,904,641 |
1 Room | 9, 0.73%, see rank | 0.76% | 2.20% |
2 Rooms | 2, 0.16%, see rank | 2.83% | 4.81% |
3 Rooms | 73, 5.95%, see rank | 6.94% | 9.84% |
4 Rooms | 196, 15.97%, see rank | 18.34% | 15.97% |
5 Rooms | 331, 26.98%, see rank | 25.93% | 20.89% |
6 Rooms | 302, 24.61%, see rank | 19.80% | 18.45% |
7 Rooms | 151, 12.31%, see rank | 11.57% | 12.06% |
8 Rooms | 86, 7.01%, see rank | 7.07% | 8.06% |
9 Rooms or More | 77, 6.28%, see rank | 6.75% | 7.70% |
Median Rooms | 5.50, 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.