27810 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27810 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,979, 100% | 4,385,668 | 132,741,033 |
1 Room | 73, 2.45%, see rank | 1.18% | 1.95% |
2 Rooms | 61, 2.05%, see rank | 1.51% | 2.48% |
3 Rooms | 98, 3.29%, see rank | 6.93% | 9.13% |
4 Rooms | 489, 16.41%, see rank | 17.44% | 16.60% |
5 Rooms | 914, 30.68%, see rank | 23.63% | 20.41% |
6 Rooms | 792, 26.59%, see rank | 18.81% | 18.06% |
7 Rooms | 236, 7.92%, see rank | 12.36% | 12.27% |
8 Rooms | 192, 6.45%, see rank | 8.08% | 8.48% |
9 Rooms or More | 124, 4.16%, see rank | 10.08% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27810 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,712, 100% | 4,325,088 | 131,642,457 |
1 Room | 101, 3.72%, see rank | 1.06% | 1.95% |
2 Rooms | 18, 0.66%, see rank | 1.37% | 2.36% |
3 Rooms | 74, 2.73%, see rank | 6.83% | 8.97% |
4 Rooms | 525, 19.36%, see rank | 17.81% | 16.57% |
5 Rooms | 630, 23.23%, see rank | 23.85% | 20.41% |
6 Rooms | 769, 28.36%, see rank | 18.84% | 18.25% |
7 Rooms | 289, 10.66%, see rank | 12.34% | 12.38% |
8 Rooms | 182, 6.71%, see rank | 8.08% | 8.59% |
9 Rooms or More | 124, 4.57%, see rank | 9.80% | 10.52% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27810 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,662, 100% | 3,523,944 | 115,904,641 |
1 Room | 12, 0.45%, see rank | 0.76% | 2.20% |
2 Rooms | 66, 2.48%, see rank | 2.83% | 4.81% |
3 Rooms | 147, 5.52%, see rank | 6.94% | 9.84% |
4 Rooms | 471, 17.69%, see rank | 18.34% | 15.97% |
5 Rooms | 772, 29.00%, see rank | 25.93% | 20.89% |
6 Rooms | 676, 25.39%, see rank | 19.80% | 18.45% |
7 Rooms | 297, 11.16%, see rank | 11.57% | 12.06% |
8 Rooms | 138, 5.18%, see rank | 7.07% | 8.06% |
9 Rooms or More | 83, 3.12%, see rank | 6.75% | 7.70% |
Median Rooms | 5.30, 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.