02839 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 02839 Zip Code | Rhode Island | U.S. |
| Total Housing Units | 602, 100% | 409,569 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 51.13% | 48.85% |
| Bottled, Tank, or LP Gas | 46, 7.64%, see rank | 2.34% | 4.86% |
| Electricity | 0, 0.00%, see rank | 9.15% | 36.68% |
| Fuel Oil, Kerosene, etc. | 517, 85.88%, see rank | 34.82% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 12, 1.99%, see rank | 1.75% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 27, 4.49%, see rank | 0.42% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.26% | 1.00% |
ACS 2008-2012 data
| | 02839 Zip Code | Rhode Island | U.S. |
| Total Housing Units | 692, 100% | 410,639 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 49.86% | 49.42% |
| Bottled, Tank, or LP Gas | 67, 9.68%, see rank | 2.00% | 5.03% |
| Electricity | 18, 2.60%, see rank | 8.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 565, 81.65%, see rank | 37.38% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
| Wood | 11, 1.59%, see rank | 1.49% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 31, 4.48%, see rank | 0.30% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
US Census 2000 data
| | 02839 Zip Code | Rhode Island | U.S. |
| Total Housing Units | 418, 100% | 408,424 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 46.31% | 51.22% |
| Bottled, Tank, or LP Gas | 86, 20.57%, see rank | 2.51% | 6.52% |
| Electricity | 9, 2.15%, see rank | 7.64% | 30.35% |
| Fuel Oil, Kerosene, etc. | 307, 73.44%, see rank | 42.08% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.14% |
| Wood | 16, 3.83%, see rank | 0.88% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.29% | 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.
