02879 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 02879 Zip Code | Rhode Island | U.S. |
Total Housing Units | 8,274, 100% | 409,569 | 116,211,092 |
Utility Gas | 2,472, 29.88%, see rank | 51.13% | 48.85% |
Bottled, Tank, or LP Gas | 383, 4.63%, see rank | 2.34% | 4.86% |
Electricity | 940, 11.36%, see rank | 9.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,078, 49.29%, see rank | 34.82% | 5.86% |
Coal or Coke | 10, 0.12%, see rank | 0.11% | 0.12% |
Wood | 305, 3.69%, see rank | 1.75% | 2.12% |
Solar Energy | 15, 0.18%, see rank | 0.02% | 0.05% |
Other Fuel | 39, 0.47%, see rank | 0.42% | 0.47% |
No Fuel Used | 32, 0.39%, see rank | 0.26% | 1.00% |
ACS 2008-2012 data
| 02879 Zip Code | Rhode Island | U.S. |
Total Housing Units | 8,513, 100% | 410,639 | 115,226,802 |
Utility Gas | 2,427, 28.51%, see rank | 49.86% | 49.42% |
Bottled, Tank, or LP Gas | 302, 3.55%, see rank | 2.00% | 5.03% |
Electricity | 1,027, 12.06%, see rank | 8.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,332, 50.89%, see rank | 37.38% | 6.46% |
Coal or Coke | 76, 0.89%, see rank | 0.13% | 0.12% |
Wood | 304, 3.57%, see rank | 1.49% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 9, 0.11%, see rank | 0.30% | 0.43% |
No Fuel Used | 36, 0.42%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 02879 Zip Code | Rhode Island | U.S. |
Total Housing Units | 7,480, 100% | 408,424 | 105,480,101 |
Utility Gas | 1,404, 18.77%, see rank | 46.31% | 51.22% |
Bottled, Tank, or LP Gas | 382, 5.11%, see rank | 2.51% | 6.52% |
Electricity | 852, 11.39%, see rank | 7.64% | 30.35% |
Fuel Oil, Kerosene, etc. | 4,562, 60.99%, see rank | 42.08% | 8.97% |
Coal or Coke | 7, 0.09%, see rank | 0.08% | 0.14% |
Wood | 235, 3.14%, see rank | 0.88% | 1.68% |
Solar Energy | 17, 0.23%, see rank | 0.03% | 0.04% |
Other Fuel | 15, 0.20%, see rank | 0.29% | 0.39% |
No Fuel Used | 6, 0.08%, 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.