27349 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27349 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,854, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 30, 1.05%, see rank | 1.51% | 2.48% |
3 Rooms | 138, 4.84%, see rank | 6.93% | 9.13% |
4 Rooms | 407, 14.26%, see rank | 17.44% | 16.60% |
5 Rooms | 958, 33.57%, see rank | 23.63% | 20.41% |
6 Rooms | 704, 24.67%, see rank | 18.81% | 18.06% |
7 Rooms | 248, 8.69%, see rank | 12.36% | 12.27% |
8 Rooms | 222, 7.78%, see rank | 8.08% | 8.48% |
9 Rooms or More | 147, 5.15%, see rank | 10.08% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27349 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,581, 100% | 4,325,088 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 16, 0.62%, see rank | 1.37% | 2.36% |
3 Rooms | 152, 5.89%, see rank | 6.83% | 8.97% |
4 Rooms | 366, 14.18%, see rank | 17.81% | 16.57% |
5 Rooms | 891, 34.52%, see rank | 23.85% | 20.41% |
6 Rooms | 568, 22.01%, see rank | 18.84% | 18.25% |
7 Rooms | 253, 9.80%, see rank | 12.34% | 12.38% |
8 Rooms | 229, 8.87%, see rank | 8.08% | 8.59% |
9 Rooms or More | 106, 4.11%, see rank | 9.80% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27349 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,872, 100% | 3,523,944 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.76% | 2.20% |
2 Rooms | 10, 0.53%, see rank | 2.83% | 4.81% |
3 Rooms | 44, 2.35%, see rank | 6.94% | 9.84% |
4 Rooms | 330, 17.63%, see rank | 18.34% | 15.97% |
5 Rooms | 543, 29.01%, see rank | 25.93% | 20.89% |
6 Rooms | 471, 25.16%, see rank | 19.80% | 18.45% |
7 Rooms | 211, 11.27%, see rank | 11.57% | 12.06% |
8 Rooms | 137, 7.32%, see rank | 7.07% | 8.06% |
9 Rooms or More | 126, 6.73%, 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.