06483 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 06483 Zip Code | Connecticut | U.S. |
Total Housing Units | 6,090, 100% | 1,356,206 | 116,211,092 |
Utility Gas | 296, 4.86%, see rank | 32.80% | 48.85% |
Bottled, Tank, or LP Gas | 251, 4.12%, see rank | 3.33% | 4.86% |
Electricity | 948, 15.57%, see rank | 15.36% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,405, 72.33%, see rank | 45.24% | 5.86% |
Coal or Coke | 7, 0.11%, see rank | 0.12% | 0.12% |
Wood | 97, 1.59%, see rank | 2.16% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
Other Fuel | 53, 0.87%, see rank | 0.67% | 0.47% |
No Fuel Used | 33, 0.54%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| 06483 Zip Code | Connecticut | U.S. |
Total Housing Units | 6,313, 100% | 1,360,184 | 115,226,802 |
Utility Gas | 288, 4.56%, see rank | 31.75% | 49.42% |
Bottled, Tank, or LP Gas | 181, 2.87%, see rank | 3.00% | 5.03% |
Electricity | 725, 11.48%, see rank | 15.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,926, 78.03%, see rank | 47.37% | 6.46% |
Coal or Coke | 15, 0.24%, see rank | 0.09% | 0.12% |
Wood | 137, 2.17%, see rank | 1.90% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 20, 0.32%, see rank | 0.53% | 0.43% |
No Fuel Used | 21, 0.33%, see rank | 0.20% | 0.90% |
US Census 2000 data
| 06483 Zip Code | Connecticut | U.S. |
Total Housing Units | 6,155, 100% | 1,301,670 | 105,480,101 |
Utility Gas | 207, 3.36%, see rank | 29.01% | 51.22% |
Bottled, Tank, or LP Gas | 91, 1.48%, see rank | 2.39% | 6.52% |
Electricity | 876, 14.23%, see rank | 14.61% | 30.35% |
Fuel Oil, Kerosene, etc. | 4,937, 80.21%, see rank | 52.43% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.14% |
Wood | 14, 0.23%, see rank | 0.91% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 10, 0.16%, see rank | 0.35% | 0.39% |
No Fuel Used | 20, 0.32%, see rank | 0.18% | 0.69% |
* 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.