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Charlotte, Gastonia, Rock Hill Metro Area Historical Type of Heating Fuel in a House Data

 

ACS 2010-2014 data

 Charlotte, Gastonia, Rock Hill Area%U.S.
Total Housing Units857,926100%116,211,092
Utility Gas381,86044.51%, see rank48.85%
Bottled, Tank, or LP Gas25,4312.96%, see rank4.86%
Electricity422,45949.24%, see rank36.68%
Fuel Oil, Kerosene, etc.14,8891.74%, see rank5.86%
Coal or Coke1070.01%, see rank0.12%
Wood10,0381.17%, see rank2.12%
Solar Energy1420.02%, see rank0.05%
Other Fuel8710.10%, see rank0.47%
No Fuel Used2,1290.25%, see rank1.00%

ACS 2008-2012 data

 Charlotte, Gastonia, Rock Hill Area%U.S.
Total Housing Units669,127100%115,226,802
Utility Gas325,25548.61%, see rank49.42%
Bottled, Tank, or LP Gas21,2543.18%, see rank5.03%
Electricity304,01545.43%, see rank35.51%
Fuel Oil, Kerosene, etc.11,3611.70%, see rank6.46%
Coal or Coke1150.02%, see rank0.12%
Wood5,4090.81%, see rank2.08%
Solar Energy590.01%, see rank0.04%
Other Fuel6010.09%, see rank0.43%
No Fuel Used1,0580.16%, see rank0.90%

ACS 2006-2010 data

 Charlotte, Gastonia, Rock Hill Area%U.S.
Total Housing Units648,431100%114,235,996
Utility Gas321,05449.51%, see rank49.91%
Bottled, Tank, or LP Gas23,4543.62%, see rank5.38%
Electricity282,73543.60%, see rank34.20%
Fuel Oil, Kerosene, etc.14,2282.19%, see rank7.07%
Coal or Coke300.00%, see rank0.12%
Wood5,1910.80%, see rank1.97%
Solar Energy390.01%, see rank0.03%
Other Fuel4990.08%, see rank0.42%
No Fuel Used1,2010.19%, see rank0.90%

ACS 2005-2009 data

 Charlotte, Gastonia, Rock Hill Area%U.S.
Total Housing Units640,604100%112,611,029
Utility Gas312,39248.77%, see rank50.14%
Bottled, Tank, or LP Gas26,2534.10%, see rank5.58%
Electricity278,29343.44%, see rank33.56%
Fuel Oil, Kerosene, etc.16,9202.64%, see rank7.38%
Coal or Coke570.01%, see rank0.12%
Wood4,9290.77%, see rank1.89%
Solar Energy380.01%, see rank0.03%
Other Fuel5370.08%, see rank0.42%
No Fuel Used1,1850.18%, 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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