27970 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27970 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,738, 100% | 4,385,668 | 132,741,033 |
1 Room | 21, 1.21%, see rank | 1.18% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.51% | 2.48% |
3 Rooms | 4, 0.23%, see rank | 6.93% | 9.13% |
4 Rooms | 263, 15.13%, see rank | 17.44% | 16.60% |
5 Rooms | 561, 32.28%, see rank | 23.63% | 20.41% |
6 Rooms | 350, 20.14%, see rank | 18.81% | 18.06% |
7 Rooms | 246, 14.15%, see rank | 12.36% | 12.27% |
8 Rooms | 186, 10.70%, see rank | 8.08% | 8.48% |
9 Rooms or More | 107, 6.16%, see rank | 10.08% | 10.60% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27970 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,825, 100% | 4,325,088 | 131,642,457 |
1 Room | 28, 1.53%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.37% | 2.36% |
3 Rooms | 31, 1.70%, see rank | 6.83% | 8.97% |
4 Rooms | 282, 15.45%, see rank | 17.81% | 16.57% |
5 Rooms | 610, 33.42%, see rank | 23.85% | 20.41% |
6 Rooms | 427, 23.40%, see rank | 18.84% | 18.25% |
7 Rooms | 199, 10.90%, see rank | 12.34% | 12.38% |
8 Rooms | 173, 9.48%, see rank | 8.08% | 8.59% |
9 Rooms or More | 75, 4.11%, see rank | 9.80% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27970 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,732, 100% | 3,523,944 | 115,904,641 |
1 Room | 7, 0.40%, see rank | 0.76% | 2.20% |
2 Rooms | 34, 1.96%, see rank | 2.83% | 4.81% |
3 Rooms | 42, 2.42%, see rank | 6.94% | 9.84% |
4 Rooms | 280, 16.17%, see rank | 18.34% | 15.97% |
5 Rooms | 360, 20.79%, see rank | 25.93% | 20.89% |
6 Rooms | 525, 30.31%, see rank | 19.80% | 18.45% |
7 Rooms | 253, 14.61%, see rank | 11.57% | 12.06% |
8 Rooms | 123, 7.10%, see rank | 7.07% | 8.06% |
9 Rooms or More | 108, 6.24%, see rank | 6.75% | 7.70% |
Median Rooms | 5.80, 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.