87004 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 87004 Zip Code | New Mexico | U.S. |
Total Housing Units | 4,117, 100% | 907,233 | 132,741,033 |
1 Room | 16, 0.39%, see rank | 2.62% | 1.95% |
2 Rooms | 47, 1.14%, see rank | 2.34% | 2.48% |
3 Rooms | 289, 7.02%, see rank | 7.65% | 9.13% |
4 Rooms | 711, 17.27%, see rank | 17.57% | 16.60% |
5 Rooms | 1,279, 31.07%, see rank | 24.59% | 20.41% |
6 Rooms | 887, 21.54%, see rank | 20.08% | 18.06% |
7 Rooms | 437, 10.61%, see rank | 12.20% | 12.27% |
8 Rooms | 285, 6.92%, see rank | 6.66% | 8.48% |
9 Rooms or More | 166, 4.03%, see rank | 6.29% | 10.60% |
Median Rooms | 5.30, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 87004 Zip Code | New Mexico | U.S. |
Total Housing Units | 3,996, 100% | 900,504 | 131,642,457 |
1 Room | 4, 0.10%, see rank | 2.61% | 1.95% |
2 Rooms | 52, 1.30%, see rank | 2.29% | 2.36% |
3 Rooms | 196, 4.90%, see rank | 7.64% | 8.97% |
4 Rooms | 715, 17.89%, see rank | 17.54% | 16.57% |
5 Rooms | 1,160, 29.03%, see rank | 24.54% | 20.41% |
6 Rooms | 886, 22.17%, see rank | 19.97% | 18.25% |
7 Rooms | 517, 12.94%, see rank | 12.46% | 12.38% |
8 Rooms | 325, 8.13%, see rank | 6.76% | 8.59% |
9 Rooms or More | 141, 3.53%, see rank | 6.18% | 10.52% |
Median Rooms | 5.40, see rank | 5.30 | 5.50 |
US Census 2000 data
| 87004 Zip Code | New Mexico | U.S. |
Total Housing Units | 2,988, 100% | 780,579 | 115,904,641 |
1 Room | 41, 1.37%, see rank | 2.99% | 2.20% |
2 Rooms | 144, 4.82%, see rank | 5.60% | 4.81% |
3 Rooms | 243, 8.13%, see rank | 10.85% | 9.84% |
4 Rooms | 583, 19.51%, see rank | 17.76% | 15.97% |
5 Rooms | 910, 30.46%, see rank | 23.88% | 20.89% |
6 Rooms | 578, 19.34%, see rank | 18.41% | 18.45% |
7 Rooms | 291, 9.74%, see rank | 10.94% | 12.06% |
8 Rooms | 138, 4.62%, see rank | 5.60% | 8.06% |
9 Rooms or More | 60, 2.01%, see rank | 3.97% | 7.70% |
Median Rooms | 5.00, 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.