27299 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27299 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,203, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.51% | 2.48% |
3 Rooms | 219, 9.94%, see rank | 6.93% | 9.13% |
4 Rooms | 189, 8.58%, see rank | 17.44% | 16.60% |
5 Rooms | 939, 42.62%, see rank | 23.63% | 20.41% |
6 Rooms | 444, 20.15%, see rank | 18.81% | 18.06% |
7 Rooms | 165, 7.49%, see rank | 12.36% | 12.27% |
8 Rooms | 69, 3.13%, see rank | 8.08% | 8.48% |
9 Rooms or More | 178, 8.08%, see rank | 10.08% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27299 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,146, 100% | 4,325,088 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.37% | 2.36% |
3 Rooms | 202, 9.41%, see rank | 6.83% | 8.97% |
4 Rooms | 234, 10.90%, see rank | 17.81% | 16.57% |
5 Rooms | 836, 38.96%, see rank | 23.85% | 20.41% |
6 Rooms | 480, 22.37%, see rank | 18.84% | 18.25% |
7 Rooms | 221, 10.30%, see rank | 12.34% | 12.38% |
8 Rooms | 51, 2.38%, see rank | 8.08% | 8.59% |
9 Rooms or More | 122, 5.68%, see rank | 9.80% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27299 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,678, 100% | 3,523,944 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.76% | 2.20% |
2 Rooms | 31, 1.85%, see rank | 2.83% | 4.81% |
3 Rooms | 39, 2.32%, see rank | 6.94% | 9.84% |
4 Rooms | 333, 19.85%, see rank | 18.34% | 15.97% |
5 Rooms | 644, 38.38%, see rank | 25.93% | 20.89% |
6 Rooms | 396, 23.60%, see rank | 19.80% | 18.45% |
7 Rooms | 130, 7.75%, see rank | 11.57% | 12.06% |
8 Rooms | 50, 2.98%, see rank | 7.07% | 8.06% |
9 Rooms or More | 55, 3.28%, 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.