27871 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27871 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,084, 100% | 4,385,668 | 132,741,033 |
1 Room | 5, 0.24%, see rank | 1.18% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.51% | 2.48% |
3 Rooms | 116, 5.57%, see rank | 6.93% | 9.13% |
4 Rooms | 291, 13.96%, see rank | 17.44% | 16.60% |
5 Rooms | 590, 28.31%, see rank | 23.63% | 20.41% |
6 Rooms | 523, 25.10%, see rank | 18.81% | 18.06% |
7 Rooms | 261, 12.52%, see rank | 12.36% | 12.27% |
8 Rooms | 177, 8.49%, see rank | 8.08% | 8.48% |
9 Rooms or More | 121, 5.81%, see rank | 10.08% | 10.60% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27871 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,111, 100% | 4,325,088 | 131,642,457 |
1 Room | 16, 0.76%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.37% | 2.36% |
3 Rooms | 114, 5.40%, see rank | 6.83% | 8.97% |
4 Rooms | 312, 14.78%, see rank | 17.81% | 16.57% |
5 Rooms | 631, 29.89%, see rank | 23.85% | 20.41% |
6 Rooms | 521, 24.68%, see rank | 18.84% | 18.25% |
7 Rooms | 269, 12.74%, see rank | 12.34% | 12.38% |
8 Rooms | 168, 7.96%, see rank | 8.08% | 8.59% |
9 Rooms or More | 80, 3.79%, see rank | 9.80% | 10.52% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27871 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,155, 100% | 3,523,944 | 115,904,641 |
1 Room | 2, 0.09%, see rank | 0.76% | 2.20% |
2 Rooms | 4, 0.19%, see rank | 2.83% | 4.81% |
3 Rooms | 132, 6.13%, see rank | 6.94% | 9.84% |
4 Rooms | 357, 16.57%, see rank | 18.34% | 15.97% |
5 Rooms | 634, 29.42%, see rank | 25.93% | 20.89% |
6 Rooms | 488, 22.65%, see rank | 19.80% | 18.45% |
7 Rooms | 287, 13.32%, see rank | 11.57% | 12.06% |
8 Rooms | 148, 6.87%, see rank | 7.07% | 8.06% |
9 Rooms or More | 103, 4.78%, 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.