27553 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27553 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,121, 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 | 35, 3.12%, see rank | 6.93% | 9.13% |
4 Rooms | 181, 16.15%, see rank | 17.44% | 16.60% |
5 Rooms | 403, 35.95%, see rank | 23.63% | 20.41% |
6 Rooms | 241, 21.50%, see rank | 18.81% | 18.06% |
7 Rooms | 63, 5.62%, see rank | 12.36% | 12.27% |
8 Rooms | 132, 11.78%, see rank | 8.08% | 8.48% |
9 Rooms or More | 66, 5.89%, see rank | 10.08% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27553 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,150, 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 | 34, 2.96%, see rank | 6.83% | 8.97% |
4 Rooms | 215, 18.70%, see rank | 17.81% | 16.57% |
5 Rooms | 397, 34.52%, see rank | 23.85% | 20.41% |
6 Rooms | 261, 22.70%, see rank | 18.84% | 18.25% |
7 Rooms | 90, 7.83%, see rank | 12.34% | 12.38% |
8 Rooms | 81, 7.04%, see rank | 8.08% | 8.59% |
9 Rooms or More | 72, 6.26%, see rank | 9.80% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27553 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,010, 100% | 3,523,944 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.76% | 2.20% |
2 Rooms | 16, 1.58%, see rank | 2.83% | 4.81% |
3 Rooms | 53, 5.25%, see rank | 6.94% | 9.84% |
4 Rooms | 135, 13.37%, see rank | 18.34% | 15.97% |
5 Rooms | 356, 35.25%, see rank | 25.93% | 20.89% |
6 Rooms | 224, 22.18%, see rank | 19.80% | 18.45% |
7 Rooms | 116, 11.49%, see rank | 11.57% | 12.06% |
8 Rooms | 66, 6.53%, see rank | 7.07% | 8.06% |
9 Rooms or More | 44, 4.36%, see rank | 6.75% | 7.70% |
Median Rooms | 5.30, 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.