88422 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 88422 Zip Code | New Mexico | U.S. |
| Total Housing Units | 38, 100% | 764,684 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 66.93% | 48.85% |
| Bottled, Tank, or LP Gas | 9, 23.68%, see rank | 8.60% | 4.86% |
| Electricity | 0, 0.00%, see rank | 16.11% | 36.68% |
| Fuel Oil, Kerosene, etc. | 5, 13.16%, see rank | 0.13% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.12% |
| Wood | 24, 63.16%, see rank | 6.80% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.26% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.94% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| | 88422 Zip Code | New Mexico | U.S. |
| Total Housing Units | 14, 100% | 763,844 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 67.49% | 49.42% |
| Bottled, Tank, or LP Gas | 6, 42.86%, see rank | 9.61% | 5.03% |
| Electricity | 0, 0.00%, 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 | 3, 21.43%, see rank | 6.62% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.30% | 0.04% |
| Other Fuel | 5, 35.71%, see rank | 0.75% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
US Census 2000 data
| | 88422 Zip Code | New Mexico | U.S. |
| Total Housing Units | 5, 100% | 677,971 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 67.65% | 51.22% |
| Bottled, Tank, or LP Gas | 5, 100.00%, see rank | 14.52% | 6.52% |
| Electricity | 0, 0.00%, 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 | 0, 0.00%, see rank | 5.11% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.37% | 0.04% |
| Other Fuel | 0, 0.00%, 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.
