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Christian County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Christian CountyKentuckyU.S.
Total Housing Units29,616, 100%1,938,836132,741,033
No Bedroom319, 1.08%, see rank1.42%2.17%
1 Bedroom2,291, 7.74%, see rank8.44%11.16%
2 Bedrooms8,109, 27.38%, see rank27.38%26.69%
3 Bedrooms14,373, 48.53%, see rank44.95%39.70%
4 Bedrooms3,773, 12.74%, see rank14.32%16.05%
5 or More Bedrooms751, 2.54%, see rank3.49%4.22%

ACS 2008-2012 data

 Christian CountyKentuckyU.S.
Total Housing Units29,452, 100%1,927,916131,642,457
No Bedroom305, 1.04%, see rank1.35%2.16%
1 Bedroom2,270, 7.71%, see rank8.36%11.12%
2 Bedrooms8,172, 27.75%, see rank27.62%26.85%
3 Bedrooms14,200, 48.21%, see rank45.04%39.76%
4 Bedrooms3,822, 12.98%, see rank14.22%15.95%
5 or More Bedrooms683, 2.32%, see rank3.41%4.16%

ACS 2006-2010 data

 Christian CountyKentuckyU.S.
Total Housing Units29,251, 100%1,911,822130,038,080
No Bedroom308, 1.05%, see rank1.08%1.84%
1 Bedroom2,194, 7.50%, see rank8.48%11.32%
2 Bedrooms8,331, 28.48%, see rank27.90%27.20%
3 Bedrooms14,325, 48.97%, see rank45.18%39.80%
4 Bedrooms3,497, 11.96%, see rank14.07%15.80%
5 or More Bedrooms596, 2.04%, see rank3.29%4.04%

ACS 2005-2009 data

 Christian CountyKentuckyU.S.
Total Housing Units28,953, 100%1,907,671127,699,712
No Bedroom220, 0.76%, see rank0.89%1.66%
1 Bedroom1,932, 6.67%, see rank8.63%11.48%
2 Bedrooms9,160, 31.64%, see rank28.17%27.48%
3 Bedrooms13,980, 48.29%, see rank45.20%39.79%
4 Bedrooms2,996, 10.35%, see rank13.85%15.64%
5 or More Bedrooms665, 2.30%, see rank3.25%3.94%

US Census 2000 data

 Christian CountyKentuckyU.S.
Total Housing Units27,182, 100%1,750,927115,904,641
No Bedroom313, 1.15%, see rank1.17%2.95%
1 Bedroom2,721, 10.01%, see rank9.78%13.38%
2 Bedrooms8,665, 31.88%, see rank30.11%28.39%
3 Bedrooms12,230, 44.99%, see rank43.87%38.37%
4 Bedrooms2,616, 9.62%, see rank12.53%13.81%
5 or More Bedrooms637, 2.34%, see rank2.55%3.09%

* 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.


 
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