Putnam County R-I School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Putnam County R-I School District | Missouri | U.S. |
Total Housing Units | 2,852, 100% | 2,723,417 | 132,741,033 |
No Bedroom | 20, 0.70%, see rank | 1.52% | 2.17% |
1 Bedroom | 221, 7.75%, see rank | 9.59% | 11.16% |
2 Bedrooms | 975, 34.19%, see rank | 27.72% | 26.69% |
3 Bedrooms | 1,277, 44.78%, see rank | 42.00% | 39.70% |
4 Bedrooms | 284, 9.96%, see rank | 15.22% | 16.05% |
5 or More Bedrooms | 75, 2.63%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| Putnam County R-I School District | Missouri | U.S. |
Total Housing Units | 2,821, 100% | 2,710,506 | 131,642,457 |
No Bedroom | 27, 0.96%, see rank | 1.50% | 2.16% |
1 Bedroom | 219, 7.76%, see rank | 9.61% | 11.12% |
2 Bedrooms | 916, 32.47%, see rank | 27.89% | 26.85% |
3 Bedrooms | 1,256, 44.52%, see rank | 41.94% | 39.76% |
4 Bedrooms | 305, 10.81%, see rank | 15.14% | 15.95% |
5 or More Bedrooms | 98, 3.47%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| Putnam County R-I School District | Missouri | U.S. |
Total Housing Units | 2,665, 100% | 2,687,610 | 130,038,080 |
No Bedroom | 12, 0.45%, see rank | 1.22% | 1.84% |
1 Bedroom | 207, 7.77%, see rank | 9.88% | 11.32% |
2 Bedrooms | 804, 30.17%, see rank | 28.17% | 27.20% |
3 Bedrooms | 1,223, 45.89%, see rank | 41.84% | 39.80% |
4 Bedrooms | 277, 10.39%, see rank | 15.10% | 15.80% |
5 or More Bedrooms | 142, 5.33%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| Putnam County R-I School District | Missouri | U.S. |
Total Housing Units | 2,742, 100% | 2,648,248 | 127,699,712 |
No Bedroom | 7, 0.26%, see rank | 1.08% | 1.66% |
1 Bedroom | 237, 8.64%, see rank | 9.92% | 11.48% |
2 Bedrooms | 818, 29.83%, see rank | 28.54% | 27.48% |
3 Bedrooms | 1,276, 46.54%, see rank | 41.88% | 39.79% |
4 Bedrooms | 264, 9.63%, see rank | 14.90% | 15.64% |
5 or More Bedrooms | 140, 5.11%, see rank | 3.69% | 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.