Manchester, CT Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| Manchester, CT | Connecticut | U.S. |
Total Housing Units | 12,589, 100% | 1,356,206 | 116,211,092 |
Utility Gas | 5,615, 44.60%, see rank | 32.80% | 48.85% |
Bottled, Tank, or LP Gas | 283, 2.25%, see rank | 3.33% | 4.86% |
Electricity | 1,692, 13.44%, see rank | 15.36% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,665, 37.06%, see rank | 45.24% | 5.86% |
Coal or Coke | 98, 0.78%, see rank | 0.12% | 0.12% |
Wood | 72, 0.57%, see rank | 2.16% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
Other Fuel | 156, 1.24%, see rank | 0.67% | 0.47% |
No Fuel Used | 8, 0.06%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| Manchester, CT | Connecticut | U.S. |
Total Housing Units | 12,852, 100% | 1,360,184 | 115,226,802 |
Utility Gas | 5,286, 41.13%, see rank | 31.75% | 49.42% |
Bottled, Tank, or LP Gas | 185, 1.44%, see rank | 3.00% | 5.03% |
Electricity | 1,827, 14.22%, see rank | 15.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 5,296, 41.21%, see rank | 47.37% | 6.46% |
Coal or Coke | 70, 0.54%, see rank | 0.09% | 0.12% |
Wood | 98, 0.76%, see rank | 1.90% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 82, 0.64%, see rank | 0.53% | 0.43% |
No Fuel Used | 8, 0.06%, see rank | 0.20% | 0.90% |
ACS 2006-2010 data
| Manchester, CT | Connecticut | U.S. |
Total Housing Units | 12,925, 100% | 1,359,218 | 114,235,996 |
Utility Gas | 5,202, 40.25%, see rank | 31.08% | 49.91% |
Bottled, Tank, or LP Gas | 238, 1.84%, see rank | 2.75% | 5.38% |
Electricity | 1,907, 14.75%, see rank | 14.87% | 34.20% |
Fuel Oil, Kerosene, etc. | 5,357, 41.45%, see rank | 48.94% | 7.07% |
Coal or Coke | 18, 0.14%, see rank | 0.09% | 0.12% |
Wood | 85, 0.66%, see rank | 1.66% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 105, 0.81%, see rank | 0.43% | 0.42% |
No Fuel Used | 13, 0.10%, see rank | 0.16% | 0.90% |
* 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.