Monroe Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Monroe Area | Wisconsin | U.S. |
Total Housing Units | 14,526, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 7,225, 49.74%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 3,601, 24.79%, see rank | 10.80% | 5.03% |
Electricity | 1,239, 8.53%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,395, 9.60%, see rank | 3.63% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 871, 6.00%, see rank | 4.56% | 2.08% |
Solar Energy | 6, 0.04%, see rank | 0.02% | 0.04% |
Other Fuel | 150, 1.03%, see rank | 0.89% | 0.43% |
No Fuel Used | 39, 0.27%, see rank | 0.36% | 0.90% |
ACS 2006-2010 data
| Monroe Area | Wisconsin | U.S. |
Total Housing Units | 14,541, 100% | 2,274,611 | 114,235,996 |
Utility Gas | 7,004, 48.17%, see rank | 66.07% | 49.91% |
Bottled, Tank, or LP Gas | 3,470, 23.86%, see rank | 11.02% | 5.38% |
Electricity | 1,310, 9.01%, see rank | 13.04% | 34.20% |
Fuel Oil, Kerosene, etc. | 1,699, 11.68%, see rank | 4.36% | 7.07% |
Coal or Coke | 2, 0.01%, see rank | 0.01% | 0.12% |
Wood | 881, 6.06%, see rank | 4.28% | 1.97% |
Solar Energy | 12, 0.08%, see rank | 0.01% | 0.03% |
Other Fuel | 143, 0.98%, see rank | 0.88% | 0.42% |
No Fuel Used | 20, 0.14%, see rank | 0.33% | 0.90% |
ACS 2005-2009 data
| Monroe Area | Wisconsin | U.S. |
Total Housing Units | 14,379, 100% | 2,246,512 | 112,611,029 |
Utility Gas | 6,629, 46.10%, see rank | 65.88% | 50.14% |
Bottled, Tank, or LP Gas | 3,463, 24.08%, see rank | 11.22% | 5.58% |
Electricity | 1,468, 10.21%, see rank | 12.81% | 33.56% |
Fuel Oil, Kerosene, etc. | 1,790, 12.45%, see rank | 4.84% | 7.38% |
Coal or Coke | 2, 0.01%, see rank | 0.02% | 0.12% |
Wood | 831, 5.78%, see rank | 4.05% | 1.89% |
Solar Energy | 13, 0.09%, see rank | 0.02% | 0.03% |
Other Fuel | 161, 1.12%, see rank | 0.86% | 0.42% |
No Fuel Used | 22, 0.15%, see rank | 0.30% | 0.88% |
* 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.