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Spalding County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Spalding CountyGeorgiaU.S.
Total Housing Units26,883, 100%4,114,496132,741,033
No Bedroom406, 1.51%, see rank1.26%2.17%
1 Bedroom1,704, 6.34%, see rank7.39%11.16%
2 Bedrooms6,697, 24.91%, see rank23.13%26.69%
3 Bedrooms13,964, 51.94%, see rank43.93%39.70%
4 Bedrooms3,159, 11.75%, see rank18.08%16.05%
5 or More Bedrooms953, 3.54%, see rank6.22%4.22%

ACS 2008-2012 data

 Spalding CountyGeorgiaU.S.
Total Housing Units26,759, 100%4,086,231131,642,457
No Bedroom354, 1.32%, see rank1.24%2.16%
1 Bedroom1,786, 6.67%, see rank7.42%11.12%
2 Bedrooms7,201, 26.91%, see rank23.32%26.85%
3 Bedrooms13,253, 49.53%, see rank44.08%39.76%
4 Bedrooms3,383, 12.64%, see rank17.90%15.95%
5 or More Bedrooms782, 2.92%, see rank6.03%4.16%

ACS 2006-2010 data

 Spalding CountyGeorgiaU.S.
Total Housing Units26,435, 100%4,020,736130,038,080
No Bedroom154, 0.58%, see rank0.96%1.84%
1 Bedroom1,635, 6.18%, see rank7.70%11.32%
2 Bedrooms6,899, 26.10%, see rank23.81%27.20%
3 Bedrooms13,299, 50.31%, see rank44.22%39.80%
4 Bedrooms3,545, 13.41%, see rank17.59%15.80%
5 or More Bedrooms903, 3.42%, see rank5.72%4.04%

ACS 2005-2009 data

 Spalding CountyGeorgiaU.S.
Total Housing Units26,174, 100%3,944,621127,699,712
No Bedroom60, 0.23%, see rank0.80%1.66%
1 Bedroom1,537, 5.87%, see rank7.73%11.48%
2 Bedrooms7,584, 28.98%, see rank24.35%27.48%
3 Bedrooms12,809, 48.94%, see rank44.28%39.79%
4 Bedrooms3,356, 12.82%, see rank17.44%15.64%
5 or More Bedrooms828, 3.16%, see rank5.41%3.94%

US Census 2000 data

 Spalding CountyGeorgiaU.S.
Total Housing Units23,001, 100%3,281,737115,904,641
No Bedroom117, 0.51%, see rank1.58%2.95%
1 Bedroom1,924, 8.36%, see rank9.77%13.38%
2 Bedrooms7,319, 31.82%, see rank26.22%28.39%
3 Bedrooms11,074, 48.15%, see rank43.99%38.37%
4 Bedrooms2,173, 9.45%, see rank14.84%13.81%
5 or More Bedrooms394, 1.71%, see rank3.60%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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