Ruidoso Municipal Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Ruidoso Municipal Schools | New Mexico | U.S. |
Total Housing Units | 12,617, 100% | 907,233 | 132,741,033 |
No Bedroom | 312, 2.47%, see rank | 2.87% | 2.17% |
1 Bedroom | 1,088, 8.62%, see rank | 9.24% | 11.16% |
2 Bedrooms | 4,214, 33.40%, see rank | 25.66% | 26.69% |
3 Bedrooms | 5,578, 44.21%, see rank | 46.23% | 39.70% |
4 Bedrooms | 971, 7.70%, see rank | 13.82% | 16.05% |
5 or More Bedrooms | 454, 3.60%, see rank | 2.18% | 4.22% |
ACS 2008-2012 data
| Ruidoso Municipal Schools | New Mexico | U.S. |
Total Housing Units | 12,283, 100% | 900,504 | 131,642,457 |
No Bedroom | 392, 3.19%, see rank | 2.84% | 2.16% |
1 Bedroom | 1,056, 8.60%, see rank | 9.40% | 11.12% |
2 Bedrooms | 3,616, 29.44%, see rank | 25.91% | 26.85% |
3 Bedrooms | 5,730, 46.65%, see rank | 45.90% | 39.76% |
4 Bedrooms | 1,021, 8.31%, see rank | 13.77% | 15.95% |
5 or More Bedrooms | 468, 3.81%, see rank | 2.18% | 4.16% |
ACS 2006-2010 data
| Ruidoso Municipal Schools | New Mexico | U.S. |
Total Housing Units | 12,112, 100% | 887,890 | 130,038,080 |
No Bedroom | 311, 2.57%, see rank | 2.50% | 1.84% |
1 Bedroom | 995, 8.21%, see rank | 9.70% | 11.32% |
2 Bedrooms | 3,268, 26.98%, see rank | 26.15% | 27.20% |
3 Bedrooms | 5,943, 49.07%, see rank | 45.97% | 39.80% |
4 Bedrooms | 1,169, 9.65%, see rank | 13.57% | 15.80% |
5 or More Bedrooms | 426, 3.52%, see rank | 2.12% | 4.04% |
ACS 2005-2009 data
| Ruidoso Municipal Schools | New Mexico | U.S. |
Total Housing Units | 12,056, 100% | 862,521 | 127,699,712 |
No Bedroom | 230, 1.91%, see rank | 2.40% | 1.66% |
1 Bedroom | 928, 7.70%, see rank | 9.98% | 11.48% |
2 Bedrooms | 3,278, 27.19%, see rank | 26.31% | 27.48% |
3 Bedrooms | 5,990, 49.68%, see rank | 46.09% | 39.79% |
4 Bedrooms | 1,309, 10.86%, see rank | 13.12% | 15.64% |
5 or More Bedrooms | 321, 2.66%, see rank | 2.11% | 3.94% |
* 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.