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Allentown, Bethlehem, Easton Metro Area Historical Type of Heating Fuel in a House Data

 

ACS 2010-2014 data

 Allentown, Bethlehem, Easton Area%U.S.
Total Housing Units313,786100%116,211,092
Utility Gas99,38031.67%, see rank48.85%
Bottled, Tank, or LP Gas10,1643.24%, see rank4.86%
Electricity92,88529.60%, see rank36.68%
Fuel Oil, Kerosene, etc.97,81431.17%, see rank5.86%
Coal or Coke4,1111.31%, see rank0.12%
Wood6,3392.02%, see rank2.12%
Solar Energy650.02%, see rank0.05%
Other Fuel2,3600.75%, see rank0.47%
No Fuel Used6680.21%, see rank1.00%

ACS 2008-2012 data

 Allentown, Bethlehem, Easton Area%U.S.
Total Housing Units313,438100%115,226,802
Utility Gas98,59931.46%, see rank49.42%
Bottled, Tank, or LP Gas10,4813.34%, see rank5.03%
Electricity88,70128.30%, see rank35.51%
Fuel Oil, Kerosene, etc.103,89433.15%, see rank6.46%
Coal or Coke3,9171.25%, see rank0.12%
Wood5,3651.71%, see rank2.08%
Solar Energy440.01%, see rank0.04%
Other Fuel1,8430.59%, see rank0.43%
No Fuel Used5940.19%, see rank0.90%

ACS 2006-2010 data

 Allentown, Bethlehem, Easton Area%U.S.
Total Housing Units312,520100%114,235,996
Utility Gas95,69130.62%, see rank49.91%
Bottled, Tank, or LP Gas10,0223.21%, see rank5.38%
Electricity85,70427.42%, see rank34.20%
Fuel Oil, Kerosene, etc.110,26735.28%, see rank7.07%
Coal or Coke3,8711.24%, see rank0.12%
Wood4,4631.43%, see rank1.97%
Solar Energy460.01%, see rank0.03%
Other Fuel1,8760.60%, see rank0.42%
No Fuel Used5800.19%, see rank0.90%

ACS 2005-2009 data

 Allentown, Bethlehem, Easton Area%U.S.
Total Housing Units307,593100%112,611,029
Utility Gas90,89929.55%, see rank50.14%
Bottled, Tank, or LP Gas10,0043.25%, see rank5.58%
Electricity83,37027.10%, see rank33.56%
Fuel Oil, Kerosene, etc.112,92436.71%, see rank7.38%
Coal or Coke3,8131.24%, see rank0.12%
Wood4,2701.39%, see rank1.89%
Solar Energy420.01%, see rank0.03%
Other Fuel1,6870.55%, see rank0.42%
No Fuel Used5840.19%, see rank0.88%

* 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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