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Pulaski County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Pulaski CountyKentuckyU.S.
Total Housing Units31,310, 100%1,938,836132,741,033
No Bedroom281, 0.90%, see rank1.42%2.17%
1 Bedroom2,364, 7.55%, see rank8.44%11.16%
2 Bedrooms9,624, 30.74%, see rank27.38%26.69%
3 Bedrooms14,279, 45.61%, see rank44.95%39.70%
4 Bedrooms3,660, 11.69%, see rank14.32%16.05%
5 or More Bedrooms1,102, 3.52%, see rank3.49%4.22%

ACS 2008-2012 data

 Pulaski CountyKentuckyU.S.
Total Housing Units31,205, 100%1,927,916131,642,457
No Bedroom355, 1.14%, see rank1.35%2.16%
1 Bedroom2,261, 7.25%, see rank8.36%11.12%
2 Bedrooms9,363, 30.00%, see rank27.62%26.85%
3 Bedrooms14,251, 45.67%, see rank45.04%39.76%
4 Bedrooms3,626, 11.62%, see rank14.22%15.95%
5 or More Bedrooms1,349, 4.32%, see rank3.41%4.16%

ACS 2006-2010 data

 Pulaski CountyKentuckyU.S.
Total Housing Units30,755, 100%1,911,822130,038,080
No Bedroom313, 1.02%, see rank1.08%1.84%
1 Bedroom2,343, 7.62%, see rank8.48%11.32%
2 Bedrooms9,345, 30.39%, see rank27.90%27.20%
3 Bedrooms13,412, 43.61%, see rank45.18%39.80%
4 Bedrooms3,974, 12.92%, see rank14.07%15.80%
5 or More Bedrooms1,368, 4.45%, see rank3.29%4.04%

ACS 2005-2009 data

 Pulaski CountyKentuckyU.S.
Total Housing Units27,980, 100%1,907,671127,699,712
No Bedroom257, 0.92%, see rank0.89%1.66%
1 Bedroom1,982, 7.08%, see rank8.63%11.48%
2 Bedrooms8,606, 30.76%, see rank28.17%27.48%
3 Bedrooms12,227, 43.70%, see rank45.20%39.79%
4 Bedrooms3,780, 13.51%, see rank13.85%15.64%
5 or More Bedrooms1,128, 4.03%, see rank3.25%3.94%

US Census 2000 data

 Pulaski CountyKentuckyU.S.
Total Housing Units27,181, 100%1,750,927115,904,641
No Bedroom232, 0.85%, see rank1.17%2.95%
1 Bedroom1,911, 7.03%, see rank9.78%13.38%
2 Bedrooms8,758, 32.22%, see rank30.11%28.39%
3 Bedrooms12,529, 46.09%, see rank43.87%38.37%
4 Bedrooms2,981, 10.97%, see rank12.53%13.81%
5 or More Bedrooms770, 2.83%, 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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