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Sarpy County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Sarpy CountyNebraskaU.S.
Total Housing Units63,894, 100%805,256132,741,033
No Bedroom609, 0.95%, see rank1.53%2.17%
1 Bedroom5,641, 8.83%, see rank11.25%11.16%
2 Bedrooms11,904, 18.63%, see rank26.58%26.69%
3 Bedrooms28,219, 44.17%, see rank37.51%39.70%
4 Bedrooms14,659, 22.94%, see rank17.56%16.05%
5 or More Bedrooms2,862, 4.48%, see rank5.56%4.22%

ACS 2008-2012 data

 Sarpy CountyNebraskaU.S.
Total Housing Units62,011, 100%797,210131,642,457
No Bedroom423, 0.68%, see rank1.34%2.16%
1 Bedroom5,630, 9.08%, see rank11.16%11.12%
2 Bedrooms10,848, 17.49%, see rank26.81%26.85%
3 Bedrooms28,557, 46.05%, see rank37.76%39.76%
4 Bedrooms13,801, 22.26%, see rank17.66%15.95%
5 or More Bedrooms2,752, 4.44%, see rank5.28%4.16%

ACS 2006-2010 data

 Sarpy CountyNebraskaU.S.
Total Housing Units59,687, 100%788,218130,038,080
No Bedroom351, 0.59%, see rank1.09%1.84%
1 Bedroom5,314, 8.90%, see rank11.37%11.32%
2 Bedrooms10,002, 16.76%, see rank26.68%27.20%
3 Bedrooms28,164, 47.19%, see rank37.93%39.80%
4 Bedrooms13,333, 22.34%, see rank17.78%15.80%
5 or More Bedrooms2,523, 4.23%, see rank5.16%4.04%

ACS 2005-2009 data

 Sarpy CountyNebraskaU.S.
Total Housing Units57,646, 100%778,882127,699,712
No Bedroom301, 0.52%, see rank1.06%1.66%
1 Bedroom5,805, 10.07%, see rank11.74%11.48%
2 Bedrooms10,604, 18.40%, see rank27.14%27.48%
3 Bedrooms26,853, 46.58%, see rank37.50%39.79%
4 Bedrooms11,877, 20.60%, see rank17.50%15.64%
5 or More Bedrooms2,206, 3.83%, see rank5.07%3.94%

US Census 2000 data

 Sarpy CountyNebraskaU.S.
Total Housing Units44,981, 100%722,668115,904,641
No Bedroom446, 0.99%, see rank1.72%2.95%
1 Bedroom4,131, 9.18%, see rank12.57%13.38%
2 Bedrooms8,554, 19.02%, see rank27.83%28.39%
3 Bedrooms21,516, 47.83%, see rank37.12%38.37%
4 Bedrooms8,958, 19.92%, see rank16.44%13.81%
5 or More Bedrooms1,376, 3.06%, see rank4.33%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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