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Richland County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Richland CountyOhioU.S.
Total Housing Units54,421, 100%5,135,173132,741,033
No Bedroom771, 1.42%, see rank1.39%2.17%
1 Bedroom4,307, 7.91%, see rank9.42%11.16%
2 Bedrooms14,567, 26.77%, see rank26.51%26.69%
3 Bedrooms25,066, 46.06%, see rank42.46%39.70%
4 Bedrooms8,320, 15.29%, see rank17.04%16.05%
5 or More Bedrooms1,390, 2.55%, see rank3.18%4.22%

ACS 2008-2012 data

 Richland CountyOhioU.S.
Total Housing Units54,563, 100%5,124,503131,642,457
No Bedroom687, 1.26%, see rank1.37%2.16%
1 Bedroom4,299, 7.88%, see rank9.35%11.12%
2 Bedrooms14,274, 26.16%, see rank26.51%26.85%
3 Bedrooms25,914, 47.49%, see rank42.49%39.76%
4 Bedrooms7,788, 14.27%, see rank17.10%15.95%
5 or More Bedrooms1,601, 2.93%, see rank3.18%4.16%

ACS 2006-2010 data

 Richland CountyOhioU.S.
Total Housing Units54,757, 100%5,107,273130,038,080
No Bedroom652, 1.19%, see rank1.10%1.84%
1 Bedroom4,692, 8.57%, see rank9.57%11.32%
2 Bedrooms13,637, 24.90%, see rank26.62%27.20%
3 Bedrooms26,488, 48.37%, see rank42.62%39.80%
4 Bedrooms7,612, 13.90%, see rank16.94%15.80%
5 or More Bedrooms1,676, 3.06%, see rank3.15%4.04%

ACS 2005-2009 data

 Richland CountyOhioU.S.
Total Housing Units54,947, 100%5,064,437127,699,712
No Bedroom707, 1.29%, see rank0.95%1.66%
1 Bedroom4,382, 7.97%, see rank9.71%11.48%
2 Bedrooms14,306, 26.04%, see rank26.73%27.48%
3 Bedrooms26,509, 48.24%, see rank42.80%39.79%
4 Bedrooms7,457, 13.57%, see rank16.73%15.64%
5 or More Bedrooms1,586, 2.89%, see rank3.09%3.94%

US Census 2000 data

 Richland CountyOhioU.S.
Total Housing Units53,062, 100%4,783,051115,904,641
No Bedroom607, 1.14%, see rank1.19%2.95%
1 Bedroom4,731, 8.92%, see rank10.43%13.38%
2 Bedrooms14,196, 26.75%, see rank27.25%28.39%
3 Bedrooms24,978, 47.07%, see rank42.68%38.37%
4 Bedrooms7,437, 14.02%, see rank15.79%13.81%
5 or More Bedrooms1,113, 2.10%, see rank2.66%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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