06334 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 06334 Zip Code | Connecticut | U.S. |
| Total Housing Units | 1,039, 100% | 1,356,206 | 116,211,092 |
| Utility Gas | 43, 4.14%, see rank | 32.80% | 48.85% |
| Bottled, Tank, or LP Gas | 33, 3.18%, see rank | 3.33% | 4.86% |
| Electricity | 53, 5.10%, see rank | 15.36% | 36.68% |
| Fuel Oil, Kerosene, etc. | 801, 77.09%, see rank | 45.24% | 5.86% |
| Coal or Coke | 8, 0.77%, see rank | 0.12% | 0.12% |
| Wood | 89, 8.57%, see rank | 2.16% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
| Other Fuel | 12, 1.15%, see rank | 0.67% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| | 06334 Zip Code | Connecticut | U.S. |
| Total Housing Units | 1,000, 100% | 1,360,184 | 115,226,802 |
| Utility Gas | 16, 1.60%, see rank | 31.75% | 49.42% |
| Bottled, Tank, or LP Gas | 53, 5.30%, see rank | 3.00% | 5.03% |
| Electricity | 49, 4.90%, see rank | 15.12% | 35.51% |
| Fuel Oil, Kerosene, etc. | 813, 81.30%, see rank | 47.37% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
| Wood | 69, 6.90%, see rank | 1.90% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.53% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 0.90% |
US Census 2000 data
| | 06334 Zip Code | Connecticut | U.S. |
| Total Housing Units | 854, 100% | 1,301,670 | 105,480,101 |
| Utility Gas | 9, 1.05%, see rank | 29.01% | 51.22% |
| Bottled, Tank, or LP Gas | 13, 1.52%, see rank | 2.39% | 6.52% |
| Electricity | 52, 6.09%, see rank | 14.61% | 30.35% |
| Fuel Oil, Kerosene, etc. | 710, 83.14%, see rank | 52.43% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.14% |
| Wood | 60, 7.03%, see rank | 0.91% | 1.68% |
| Solar Energy | 3, 0.35%, see rank | 0.02% | 0.04% |
| Other Fuel | 3, 0.35%, see rank | 0.35% | 0.39% |
| No Fuel Used | 4, 0.47%, 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.
