27209 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27209 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,362, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 14, 1.03%, see rank | 1.51% | 2.48% |
3 Rooms | 26, 1.91%, see rank | 6.93% | 9.13% |
4 Rooms | 351, 25.77%, see rank | 17.44% | 16.60% |
5 Rooms | 321, 23.57%, see rank | 23.63% | 20.41% |
6 Rooms | 334, 24.52%, see rank | 18.81% | 18.06% |
7 Rooms | 191, 14.02%, see rank | 12.36% | 12.27% |
8 Rooms | 44, 3.23%, see rank | 8.08% | 8.48% |
9 Rooms or More | 81, 5.95%, see rank | 10.08% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27209 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,487, 100% | 4,325,088 | 131,642,457 |
1 Room | 18, 1.21%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.37% | 2.36% |
3 Rooms | 79, 5.31%, see rank | 6.83% | 8.97% |
4 Rooms | 412, 27.71%, see rank | 17.81% | 16.57% |
5 Rooms | 409, 27.51%, see rank | 23.85% | 20.41% |
6 Rooms | 247, 16.61%, see rank | 18.84% | 18.25% |
7 Rooms | 155, 10.42%, see rank | 12.34% | 12.38% |
8 Rooms | 75, 5.04%, see rank | 8.08% | 8.59% |
9 Rooms or More | 92, 6.19%, see rank | 9.80% | 10.52% |
Median Rooms | 5.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27209 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,423, 100% | 3,523,944 | 115,904,641 |
1 Room | 23, 1.62%, see rank | 0.76% | 2.20% |
2 Rooms | 28, 1.97%, see rank | 2.83% | 4.81% |
3 Rooms | 106, 7.45%, see rank | 6.94% | 9.84% |
4 Rooms | 257, 18.06%, see rank | 18.34% | 15.97% |
5 Rooms | 417, 29.30%, see rank | 25.93% | 20.89% |
6 Rooms | 315, 22.14%, see rank | 19.80% | 18.45% |
7 Rooms | 127, 8.92%, see rank | 11.57% | 12.06% |
8 Rooms | 68, 4.78%, see rank | 7.07% | 8.06% |
9 Rooms or More | 82, 5.76%, see rank | 6.75% | 7.70% |
Median Rooms | 5.20, 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.