06058 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 06058 Zip Code | Connecticut | U.S. |
| Total Housing Units | 668, 100% | 1,356,206 | 116,211,092 |
| Utility Gas | 9, 1.35%, see rank | 32.80% | 48.85% |
| Bottled, Tank, or LP Gas | 62, 9.28%, see rank | 3.33% | 4.86% |
| Electricity | 33, 4.94%, see rank | 15.36% | 36.68% |
| Fuel Oil, Kerosene, etc. | 478, 71.56%, see rank | 45.24% | 5.86% |
| Coal or Coke | 4, 0.60%, see rank | 0.12% | 0.12% |
| Wood | 76, 11.38%, see rank | 2.16% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
| Other Fuel | 6, 0.90%, see rank | 0.67% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| | 06058 Zip Code | Connecticut | U.S. |
| Total Housing Units | 646, 100% | 1,360,184 | 115,226,802 |
| Utility Gas | 16, 2.48%, see rank | 31.75% | 49.42% |
| Bottled, Tank, or LP Gas | 13, 2.01%, see rank | 3.00% | 5.03% |
| Electricity | 41, 6.35%, see rank | 15.12% | 35.51% |
| Fuel Oil, Kerosene, etc. | 479, 74.15%, see rank | 47.37% | 6.46% |
| Coal or Coke | 2, 0.31%, see rank | 0.09% | 0.12% |
| Wood | 86, 13.31%, see rank | 1.90% | 2.08% |
| Solar Energy | 3, 0.46%, see rank | 0.03% | 0.04% |
| Other Fuel | 6, 0.93%, see rank | 0.53% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 0.90% |
US Census 2000 data
| | 06058 Zip Code | Connecticut | U.S. |
| Total Housing Units | 715, 100% | 1,301,670 | 105,480,101 |
| Utility Gas | 2, 0.28%, see rank | 29.01% | 51.22% |
| Bottled, Tank, or LP Gas | 15, 2.10%, see rank | 2.39% | 6.52% |
| Electricity | 35, 4.90%, see rank | 14.61% | 30.35% |
| Fuel Oil, Kerosene, etc. | 607, 84.90%, see rank | 52.43% | 8.97% |
| Coal or Coke | 6, 0.84%, see rank | 0.11% | 0.14% |
| Wood | 42, 5.87%, see rank | 0.91% | 1.68% |
| Solar Energy | 2, 0.28%, see rank | 0.02% | 0.04% |
| Other Fuel | 6, 0.84%, see rank | 0.35% | 0.39% |
| No Fuel Used | 0, 0.00%, 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.
