87015 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 87015 Zip Code | New Mexico | U.S. |
Total Housing Units | 5,000, 100% | 764,684 | 116,211,092 |
Utility Gas | 1,715, 34.30%, see rank | 66.93% | 48.85% |
Bottled, Tank, or LP Gas | 1,790, 35.80%, see rank | 8.60% | 4.86% |
Electricity | 289, 5.78%, see rank | 16.11% | 36.68% |
Fuel Oil, Kerosene, etc. | 41, 0.82%, see rank | 0.13% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.12% |
Wood | 998, 19.96%, see rank | 6.80% | 2.12% |
Solar Energy | 61, 1.22%, see rank | 0.26% | 0.05% |
Other Fuel | 96, 1.92%, see rank | 0.94% | 0.47% |
No Fuel Used | 10, 0.20%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| 87015 Zip Code | New Mexico | U.S. |
Total Housing Units | 5,080, 100% | 763,844 | 115,226,802 |
Utility Gas | 1,686, 33.19%, see rank | 67.49% | 49.42% |
Bottled, Tank, or LP Gas | 1,753, 34.51%, see rank | 9.61% | 5.03% |
Electricity | 305, 6.00%, see rank | 14.88% | 35.51% |
Fuel Oil, Kerosene, etc. | 57, 1.12%, see rank | 0.13% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.06% | 0.12% |
Wood | 1,120, 22.05%, see rank | 6.62% | 2.08% |
Solar Energy | 72, 1.42%, see rank | 0.30% | 0.04% |
Other Fuel | 80, 1.57%, see rank | 0.75% | 0.43% |
No Fuel Used | 7, 0.14%, see rank | 0.17% | 0.90% |
US Census 2000 data
| 87015 Zip Code | New Mexico | U.S. |
Total Housing Units | 3,714, 100% | 677,971 | 105,480,101 |
Utility Gas | 1,368, 36.83%, see rank | 67.65% | 51.22% |
Bottled, Tank, or LP Gas | 1,864, 50.19%, see rank | 14.52% | 6.52% |
Electricity | 95, 2.56%, see rank | 11.60% | 30.35% |
Fuel Oil, Kerosene, etc. | 24, 0.65%, see rank | 0.16% | 8.97% |
Coal or Coke | 8, 0.22%, see rank | 0.09% | 0.14% |
Wood | 282, 7.59%, see rank | 5.11% | 1.68% |
Solar Energy | 52, 1.40%, see rank | 0.37% | 0.04% |
Other Fuel | 21, 0.57%, 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.