87048 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 87048 Zip Code | New Mexico | U.S. |
Total Housing Units | 3,879, 100% | 907,233 | 132,741,033 |
1 Room | 36, 0.93%, see rank | 2.62% | 1.95% |
2 Rooms | 46, 1.19%, see rank | 2.34% | 2.48% |
3 Rooms | 169, 4.36%, see rank | 7.65% | 9.13% |
4 Rooms | 301, 7.76%, see rank | 17.57% | 16.60% |
5 Rooms | 720, 18.56%, see rank | 24.59% | 20.41% |
6 Rooms | 716, 18.46%, see rank | 20.08% | 18.06% |
7 Rooms | 698, 17.99%, see rank | 12.20% | 12.27% |
8 Rooms | 573, 14.77%, see rank | 6.66% | 8.48% |
9 Rooms or More | 620, 15.98%, see rank | 6.29% | 10.60% |
Median Rooms | 6.40, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 87048 Zip Code | New Mexico | U.S. |
Total Housing Units | 3,760, 100% | 900,504 | 131,642,457 |
1 Room | 17, 0.45%, see rank | 2.61% | 1.95% |
2 Rooms | 29, 0.77%, see rank | 2.29% | 2.36% |
3 Rooms | 77, 2.05%, see rank | 7.64% | 8.97% |
4 Rooms | 319, 8.48%, see rank | 17.54% | 16.57% |
5 Rooms | 636, 16.91%, see rank | 24.54% | 20.41% |
6 Rooms | 893, 23.75%, see rank | 19.97% | 18.25% |
7 Rooms | 609, 16.20%, see rank | 12.46% | 12.38% |
8 Rooms | 586, 15.59%, see rank | 6.76% | 8.59% |
9 Rooms or More | 594, 15.80%, see rank | 6.18% | 10.52% |
Median Rooms | 6.40, see rank | 5.30 | 5.50 |
US Census 2000 data
| 87048 Zip Code | New Mexico | U.S. |
Total Housing Units | 3,186, 100% | 780,579 | 115,904,641 |
1 Room | 35, 1.10%, see rank | 2.99% | 2.20% |
2 Rooms | 70, 2.20%, see rank | 5.60% | 4.81% |
3 Rooms | 95, 2.98%, see rank | 10.85% | 9.84% |
4 Rooms | 338, 10.61%, see rank | 17.76% | 15.97% |
5 Rooms | 600, 18.83%, see rank | 23.88% | 20.89% |
6 Rooms | 557, 17.48%, see rank | 18.41% | 18.45% |
7 Rooms | 773, 24.26%, see rank | 10.94% | 12.06% |
8 Rooms | 377, 11.83%, see rank | 5.60% | 8.06% |
9 Rooms or More | 341, 10.70%, see rank | 3.97% | 7.70% |
Median Rooms | 6.30, see rank | 5.00 | 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.