06484 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 06484 Zip Code | Connecticut | U.S. |
Total Housing Units | 15,186, 100% | 1,356,206 | 116,211,092 |
Utility Gas | 4,897, 32.25%, see rank | 32.80% | 48.85% |
Bottled, Tank, or LP Gas | 380, 2.50%, see rank | 3.33% | 4.86% |
Electricity | 1,160, 7.64%, see rank | 15.36% | 36.68% |
Fuel Oil, Kerosene, etc. | 8,279, 54.52%, see rank | 45.24% | 5.86% |
Coal or Coke | 102, 0.67%, see rank | 0.12% | 0.12% |
Wood | 278, 1.83%, see rank | 2.16% | 2.12% |
Solar Energy | 7, 0.05%, see rank | 0.04% | 0.05% |
Other Fuel | 83, 0.55%, see rank | 0.67% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| 06484 Zip Code | Connecticut | U.S. |
Total Housing Units | 15,019, 100% | 1,360,184 | 115,226,802 |
Utility Gas | 4,680, 31.16%, see rank | 31.75% | 49.42% |
Bottled, Tank, or LP Gas | 297, 1.98%, see rank | 3.00% | 5.03% |
Electricity | 1,035, 6.89%, see rank | 15.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 8,758, 58.31%, see rank | 47.37% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
Wood | 134, 0.89%, see rank | 1.90% | 2.08% |
Solar Energy | 6, 0.04%, see rank | 0.03% | 0.04% |
Other Fuel | 86, 0.57%, see rank | 0.53% | 0.43% |
No Fuel Used | 23, 0.15%, see rank | 0.20% | 0.90% |
US Census 2000 data
| 06484 Zip Code | Connecticut | U.S. |
Total Housing Units | 14,190, 100% | 1,301,670 | 105,480,101 |
Utility Gas | 3,638, 25.64%, see rank | 29.01% | 51.22% |
Bottled, Tank, or LP Gas | 260, 1.83%, see rank | 2.39% | 6.52% |
Electricity | 875, 6.17%, see rank | 14.61% | 30.35% |
Fuel Oil, Kerosene, etc. | 9,290, 65.47%, see rank | 52.43% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.14% |
Wood | 70, 0.49%, see rank | 0.91% | 1.68% |
Solar Energy | 9, 0.06%, see rank | 0.02% | 0.04% |
Other Fuel | 41, 0.29%, see rank | 0.35% | 0.39% |
No Fuel Used | 7, 0.05%, 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.