28373 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 28373 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,047, 100% | 4,385,668 | 132,741,033 |
1 Room | 10, 0.96%, see rank | 1.18% | 1.95% |
2 Rooms | 12, 1.15%, see rank | 1.51% | 2.48% |
3 Rooms | 86, 8.21%, see rank | 6.93% | 9.13% |
4 Rooms | 252, 24.07%, see rank | 17.44% | 16.60% |
5 Rooms | 239, 22.83%, see rank | 23.63% | 20.41% |
6 Rooms | 201, 19.20%, see rank | 18.81% | 18.06% |
7 Rooms | 128, 12.23%, see rank | 12.36% | 12.27% |
8 Rooms | 84, 8.02%, see rank | 8.08% | 8.48% |
9 Rooms or More | 35, 3.34%, see rank | 10.08% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 28373 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,006, 100% | 4,325,088 | 131,642,457 |
1 Room | 10, 0.99%, see rank | 1.06% | 1.95% |
2 Rooms | 9, 0.89%, see rank | 1.37% | 2.36% |
3 Rooms | 58, 5.77%, see rank | 6.83% | 8.97% |
4 Rooms | 197, 19.58%, see rank | 17.81% | 16.57% |
5 Rooms | 279, 27.73%, see rank | 23.85% | 20.41% |
6 Rooms | 159, 15.81%, see rank | 18.84% | 18.25% |
7 Rooms | 168, 16.70%, see rank | 12.34% | 12.38% |
8 Rooms | 95, 9.44%, see rank | 8.08% | 8.59% |
9 Rooms or More | 31, 3.08%, see rank | 9.80% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 28373 Zip Code | North Carolina | U.S. |
Total Housing Units | 489, 100% | 3,523,944 | 115,904,641 |
1 Room | 2, 0.41%, see rank | 0.76% | 2.20% |
2 Rooms | 7, 1.43%, see rank | 2.83% | 4.81% |
3 Rooms | 13, 2.66%, see rank | 6.94% | 9.84% |
4 Rooms | 54, 11.04%, see rank | 18.34% | 15.97% |
5 Rooms | 180, 36.81%, see rank | 25.93% | 20.89% |
6 Rooms | 120, 24.54%, see rank | 19.80% | 18.45% |
7 Rooms | 57, 11.66%, see rank | 11.57% | 12.06% |
8 Rooms | 42, 8.59%, see rank | 7.07% | 8.06% |
9 Rooms or More | 14, 2.86%, see rank | 6.75% | 7.70% |
Median Rooms | 5.40, 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.