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Greene County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Greene CountyTennesseeU.S.
Total Housing Units32,076, 100%2,839,142132,741,033
No Bedroom159, 0.50%, see rank1.18%2.17%
1 Bedroom1,800, 5.61%, see rank7.78%11.16%
2 Bedrooms9,174, 28.60%, see rank26.67%26.69%
3 Bedrooms16,154, 50.36%, see rank46.66%39.70%
4 Bedrooms3,676, 11.46%, see rank14.27%16.05%
5 or More Bedrooms1,113, 3.47%, see rank3.44%4.22%

ACS 2008-2012 data

 Greene CountyTennesseeU.S.
Total Housing Units31,970, 100%2,811,854131,642,457
No Bedroom224, 0.70%, see rank1.14%2.16%
1 Bedroom1,520, 4.75%, see rank7.77%11.12%
2 Bedrooms8,793, 27.50%, see rank26.96%26.85%
3 Bedrooms16,386, 51.25%, see rank46.68%39.76%
4 Bedrooms4,011, 12.55%, see rank14.11%15.95%
5 or More Bedrooms1,036, 3.24%, see rank3.34%4.16%

ACS 2006-2010 data

 Greene CountyTennesseeU.S.
Total Housing Units31,618, 100%2,769,457130,038,080
No Bedroom211, 0.67%, see rank0.87%1.84%
1 Bedroom1,543, 4.88%, see rank7.84%11.32%
2 Bedrooms9,132, 28.88%, see rank27.46%27.20%
3 Bedrooms15,916, 50.34%, see rank46.71%39.80%
4 Bedrooms3,883, 12.28%, see rank13.89%15.80%
5 or More Bedrooms933, 2.95%, see rank3.22%4.04%

ACS 2005-2009 data

 Greene CountyTennesseeU.S.
Total Housing Units30,743, 100%2,721,019127,699,712
No Bedroom170, 0.55%, see rank0.75%1.66%
1 Bedroom1,411, 4.59%, see rank8.04%11.48%
2 Bedrooms9,391, 30.55%, see rank27.85%27.48%
3 Bedrooms15,477, 50.34%, see rank46.50%39.79%
4 Bedrooms3,448, 11.22%, see rank13.68%15.64%
5 or More Bedrooms846, 2.75%, see rank3.17%3.94%

US Census 2000 data

 Greene CountyTennesseeU.S.
Total Housing Units28,116, 100%2,439,443115,904,641
No Bedroom70, 0.25%, see rank1.12%2.95%
1 Bedroom1,830, 6.51%, see rank9.33%13.38%
2 Bedrooms8,867, 31.54%, see rank29.45%28.39%
3 Bedrooms13,640, 48.51%, see rank45.16%38.37%
4 Bedrooms3,149, 11.20%, see rank12.41%13.81%
5 or More Bedrooms560, 1.99%, see rank2.54%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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