27910 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27910 Zip Code | North Carolina | U.S. |
Total Housing Units | 5,477, 100% | 4,385,668 | 132,741,033 |
1 Room | 84, 1.53%, see rank | 1.18% | 1.95% |
2 Rooms | 22, 0.40%, see rank | 1.51% | 2.48% |
3 Rooms | 247, 4.51%, see rank | 6.93% | 9.13% |
4 Rooms | 1,011, 18.46%, see rank | 17.44% | 16.60% |
5 Rooms | 1,452, 26.51%, see rank | 23.63% | 20.41% |
6 Rooms | 1,198, 21.87%, see rank | 18.81% | 18.06% |
7 Rooms | 779, 14.22%, see rank | 12.36% | 12.27% |
8 Rooms | 394, 7.19%, see rank | 8.08% | 8.48% |
9 Rooms or More | 290, 5.29%, see rank | 10.08% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27910 Zip Code | North Carolina | U.S. |
Total Housing Units | 5,378, 100% | 4,325,088 | 131,642,457 |
1 Room | 34, 0.63%, see rank | 1.06% | 1.95% |
2 Rooms | 14, 0.26%, see rank | 1.37% | 2.36% |
3 Rooms | 252, 4.69%, see rank | 6.83% | 8.97% |
4 Rooms | 1,082, 20.12%, see rank | 17.81% | 16.57% |
5 Rooms | 1,382, 25.70%, see rank | 23.85% | 20.41% |
6 Rooms | 1,223, 22.74%, see rank | 18.84% | 18.25% |
7 Rooms | 670, 12.46%, see rank | 12.34% | 12.38% |
8 Rooms | 421, 7.83%, see rank | 8.08% | 8.59% |
9 Rooms or More | 300, 5.58%, see rank | 9.80% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27910 Zip Code | North Carolina | U.S. |
Total Housing Units | 4,702, 100% | 3,523,944 | 115,904,641 |
1 Room | 15, 0.32%, see rank | 0.76% | 2.20% |
2 Rooms | 140, 2.98%, see rank | 2.83% | 4.81% |
3 Rooms | 244, 5.19%, see rank | 6.94% | 9.84% |
4 Rooms | 810, 17.23%, see rank | 18.34% | 15.97% |
5 Rooms | 1,127, 23.97%, see rank | 25.93% | 20.89% |
6 Rooms | 1,176, 25.01%, see rank | 19.80% | 18.45% |
7 Rooms | 691, 14.70%, see rank | 11.57% | 12.06% |
8 Rooms | 306, 6.51%, see rank | 7.07% | 8.06% |
9 Rooms or More | 193, 4.10%, 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.