27869 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27869 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,204, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 5, 0.42%, see rank | 1.51% | 2.48% |
3 Rooms | 16, 1.33%, see rank | 6.93% | 9.13% |
4 Rooms | 174, 14.45%, see rank | 17.44% | 16.60% |
5 Rooms | 398, 33.06%, see rank | 23.63% | 20.41% |
6 Rooms | 273, 22.67%, see rank | 18.81% | 18.06% |
7 Rooms | 124, 10.30%, see rank | 12.36% | 12.27% |
8 Rooms | 137, 11.38%, see rank | 8.08% | 8.48% |
9 Rooms or More | 77, 6.40%, see rank | 10.08% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27869 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,118, 100% | 4,325,088 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 5, 0.45%, see rank | 1.37% | 2.36% |
3 Rooms | 20, 1.79%, see rank | 6.83% | 8.97% |
4 Rooms | 131, 11.72%, see rank | 17.81% | 16.57% |
5 Rooms | 315, 28.18%, see rank | 23.85% | 20.41% |
6 Rooms | 168, 15.03%, see rank | 18.84% | 18.25% |
7 Rooms | 232, 20.75%, see rank | 12.34% | 12.38% |
8 Rooms | 138, 12.34%, see rank | 8.08% | 8.59% |
9 Rooms or More | 109, 9.75%, see rank | 9.80% | 10.52% |
Median Rooms | 6.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27869 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,225, 100% | 3,523,944 | 115,904,641 |
1 Room | 2, 0.16%, see rank | 0.76% | 2.20% |
2 Rooms | 17, 1.39%, see rank | 2.83% | 4.81% |
3 Rooms | 76, 6.20%, see rank | 6.94% | 9.84% |
4 Rooms | 102, 8.33%, see rank | 18.34% | 15.97% |
5 Rooms | 365, 29.80%, see rank | 25.93% | 20.89% |
6 Rooms | 261, 21.31%, see rank | 19.80% | 18.45% |
7 Rooms | 222, 18.12%, see rank | 11.57% | 12.06% |
8 Rooms | 89, 7.27%, see rank | 7.07% | 8.06% |
9 Rooms or More | 91, 7.43%, see rank | 6.75% | 7.70% |
Median Rooms | 5.70, 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.