88119 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 88119 Zip Code | New Mexico | U.S. |
| Total Housing Units | 554, 100% | 764,684 | 116,211,092 |
| Utility Gas | 280, 50.54%, see rank | 66.93% | 48.85% |
| Bottled, Tank, or LP Gas | 66, 11.91%, see rank | 8.60% | 4.86% |
| Electricity | 112, 20.22%, see rank | 16.11% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.12% |
| Wood | 42, 7.58%, see rank | 6.80% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.26% | 0.05% |
| Other Fuel | 33, 5.96%, see rank | 0.94% | 0.47% |
| No Fuel Used | 21, 3.79%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| | 88119 Zip Code | New Mexico | U.S. |
| Total Housing Units | 708, 100% | 763,844 | 115,226,802 |
| Utility Gas | 331, 46.75%, see rank | 67.49% | 49.42% |
| Bottled, Tank, or LP Gas | 149, 21.05%, see rank | 9.61% | 5.03% |
| Electricity | 136, 19.21%, see rank | 14.88% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.06% | 0.12% |
| Wood | 28, 3.95%, see rank | 6.62% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.30% | 0.04% |
| Other Fuel | 39, 5.51%, see rank | 0.75% | 0.43% |
| No Fuel Used | 25, 3.53%, see rank | 0.17% | 0.90% |
US Census 2000 data
| | 88119 Zip Code | New Mexico | U.S. |
| Total Housing Units | 880, 100% | 677,971 | 105,480,101 |
| Utility Gas | 429, 48.75%, see rank | 67.65% | 51.22% |
| Bottled, Tank, or LP Gas | 275, 31.25%, see rank | 14.52% | 6.52% |
| Electricity | 98, 11.14%, see rank | 11.60% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.16% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
| Wood | 68, 7.73%, see rank | 5.11% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.37% | 0.04% |
| Other Fuel | 10, 1.14%, see rank | 0.35% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.14% | 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.
