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Langlade County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Langlade CountyWisconsinU.S.
Total Housing Units12,363, 100%2,635,602132,741,033
No Bedroom887, 7.17%, see rank1.76%2.17%
1 Bedroom1,062, 8.59%, see rank9.90%11.16%
2 Bedrooms3,570, 28.88%, see rank28.88%26.69%
3 Bedrooms5,009, 40.52%, see rank41.24%39.70%
4 Bedrooms1,466, 11.86%, see rank14.72%16.05%
5 or More Bedrooms369, 2.98%, see rank3.50%4.22%

ACS 2008-2012 data

 Langlade CountyWisconsinU.S.
Total Housing Units12,339, 100%2,620,401131,642,457
No Bedroom1,047, 8.49%, see rank1.77%2.16%
1 Bedroom959, 7.77%, see rank9.85%11.12%
2 Bedrooms3,582, 29.03%, see rank28.90%26.85%
3 Bedrooms4,949, 40.11%, see rank41.33%39.76%
4 Bedrooms1,366, 11.07%, see rank14.67%15.95%
5 or More Bedrooms436, 3.53%, see rank3.48%4.16%

ACS 2006-2010 data

 Langlade CountyWisconsinU.S.
Total Housing Units12,268, 100%2,593,073130,038,080
No Bedroom667, 5.44%, see rank1.51%1.84%
1 Bedroom1,084, 8.84%, see rank9.85%11.32%
2 Bedrooms3,527, 28.75%, see rank29.02%27.20%
3 Bedrooms5,018, 40.90%, see rank41.57%39.80%
4 Bedrooms1,523, 12.41%, see rank14.61%15.80%
5 or More Bedrooms449, 3.66%, see rank3.44%4.04%

ACS 2005-2009 data

 Langlade CountyWisconsinU.S.
Total Housing Units12,083, 100%2,549,915127,699,712
No Bedroom573, 4.74%, see rank1.37%1.66%
1 Bedroom1,114, 9.22%, see rank9.89%11.48%
2 Bedrooms3,473, 28.74%, see rank28.99%27.48%
3 Bedrooms4,859, 40.21%, see rank41.66%39.79%
4 Bedrooms1,614, 13.36%, see rank14.66%15.64%
5 or More Bedrooms450, 3.72%, see rank3.45%3.94%

US Census 2000 data

 Langlade CountyWisconsinU.S.
Total Housing Units11,187, 100%2,321,144115,904,641
No Bedroom256, 2.29%, see rank1.78%2.95%
1 Bedroom1,033, 9.23%, see rank10.83%13.38%
2 Bedrooms3,663, 32.74%, see rank29.41%28.39%
3 Bedrooms4,539, 40.57%, see rank41.16%38.37%
4 Bedrooms1,376, 12.30%, see rank13.94%13.81%
5 or More Bedrooms320, 2.86%, see rank2.88%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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