87015 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 87015 Zip Code | New Mexico | U.S. |
Total Housing Units | 5,858, 100% | 907,233 | 132,741,033 |
1 Room | 36, 0.61%, see rank | 2.62% | 1.95% |
2 Rooms | 38, 0.65%, see rank | 2.34% | 2.48% |
3 Rooms | 106, 1.81%, see rank | 7.65% | 9.13% |
4 Rooms | 820, 14.00%, see rank | 17.57% | 16.60% |
5 Rooms | 1,422, 24.27%, see rank | 24.59% | 20.41% |
6 Rooms | 1,445, 24.67%, see rank | 20.08% | 18.06% |
7 Rooms | 899, 15.35%, see rank | 12.20% | 12.27% |
8 Rooms | 651, 11.11%, see rank | 6.66% | 8.48% |
9 Rooms or More | 441, 7.53%, see rank | 6.29% | 10.60% |
Median Rooms | 5.90, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 87015 Zip Code | New Mexico | U.S. |
Total Housing Units | 5,948, 100% | 900,504 | 131,642,457 |
1 Room | 100, 1.68%, see rank | 2.61% | 1.95% |
2 Rooms | 8, 0.13%, see rank | 2.29% | 2.36% |
3 Rooms | 214, 3.60%, see rank | 7.64% | 8.97% |
4 Rooms | 648, 10.89%, see rank | 17.54% | 16.57% |
5 Rooms | 1,713, 28.80%, see rank | 24.54% | 20.41% |
6 Rooms | 1,337, 22.48%, see rank | 19.97% | 18.25% |
7 Rooms | 984, 16.54%, see rank | 12.46% | 12.38% |
8 Rooms | 530, 8.91%, see rank | 6.76% | 8.59% |
9 Rooms or More | 414, 6.96%, see rank | 6.18% | 10.52% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
US Census 2000 data
| 87015 Zip Code | New Mexico | U.S. |
Total Housing Units | 4,010, 100% | 780,579 | 115,904,641 |
1 Room | 15, 0.37%, see rank | 2.99% | 2.20% |
2 Rooms | 52, 1.30%, see rank | 5.60% | 4.81% |
3 Rooms | 182, 4.54%, see rank | 10.85% | 9.84% |
4 Rooms | 362, 9.03%, see rank | 17.76% | 15.97% |
5 Rooms | 1,165, 29.05%, see rank | 23.88% | 20.89% |
6 Rooms | 1,000, 24.94%, see rank | 18.41% | 18.45% |
7 Rooms | 627, 15.64%, see rank | 10.94% | 12.06% |
8 Rooms | 330, 8.23%, see rank | 5.60% | 8.06% |
9 Rooms or More | 277, 6.91%, see rank | 3.97% | 7.70% |
Median Rooms | 5.70, 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.