27356 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27356 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,869, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 13, 0.70%, see rank | 1.51% | 2.48% |
3 Rooms | 112, 5.99%, see rank | 6.93% | 9.13% |
4 Rooms | 490, 26.22%, see rank | 17.44% | 16.60% |
5 Rooms | 540, 28.89%, see rank | 23.63% | 20.41% |
6 Rooms | 394, 21.08%, see rank | 18.81% | 18.06% |
7 Rooms | 159, 8.51%, see rank | 12.36% | 12.27% |
8 Rooms | 84, 4.49%, see rank | 8.08% | 8.48% |
9 Rooms or More | 77, 4.12%, see rank | 10.08% | 10.60% |
Median Rooms | 5.10, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27356 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,621, 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 | 70, 4.32%, see rank | 6.83% | 8.97% |
4 Rooms | 324, 19.99%, see rank | 17.81% | 16.57% |
5 Rooms | 511, 31.52%, see rank | 23.85% | 20.41% |
6 Rooms | 422, 26.03%, see rank | 18.84% | 18.25% |
7 Rooms | 90, 5.55%, see rank | 12.34% | 12.38% |
8 Rooms | 163, 10.06%, see rank | 8.08% | 8.59% |
9 Rooms or More | 41, 2.53%, see rank | 9.80% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27356 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,432, 100% | 3,523,944 | 115,904,641 |
1 Room | 4, 0.28%, see rank | 0.76% | 2.20% |
2 Rooms | 12, 0.84%, see rank | 2.83% | 4.81% |
3 Rooms | 81, 5.66%, see rank | 6.94% | 9.84% |
4 Rooms | 357, 24.93%, see rank | 18.34% | 15.97% |
5 Rooms | 449, 31.35%, see rank | 25.93% | 20.89% |
6 Rooms | 235, 16.41%, see rank | 19.80% | 18.45% |
7 Rooms | 183, 12.78%, see rank | 11.57% | 12.06% |
8 Rooms | 72, 5.03%, see rank | 7.07% | 8.06% |
9 Rooms or More | 39, 2.72%, see rank | 6.75% | 7.70% |
Median Rooms | 5.10, 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.