87401 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 87401 Zip Code | New Mexico | U.S. |
Total Housing Units | 14,861, 100% | 764,684 | 116,211,092 |
Utility Gas | 11,536, 77.63%, see rank | 66.93% | 48.85% |
Bottled, Tank, or LP Gas | 1,311, 8.82%, see rank | 8.60% | 4.86% |
Electricity | 1,354, 9.11%, see rank | 16.11% | 36.68% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 5.86% |
Coal or Coke | 25, 0.17%, see rank | 0.04% | 0.12% |
Wood | 427, 2.87%, see rank | 6.80% | 2.12% |
Solar Energy | 19, 0.13%, see rank | 0.26% | 0.05% |
Other Fuel | 189, 1.27%, see rank | 0.94% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| 87401 Zip Code | New Mexico | U.S. |
Total Housing Units | 15,282, 100% | 763,844 | 115,226,802 |
Utility Gas | 12,076, 79.02%, see rank | 67.49% | 49.42% |
Bottled, Tank, or LP Gas | 1,602, 10.48%, see rank | 9.61% | 5.03% |
Electricity | 1,068, 6.99%, see rank | 14.88% | 35.51% |
Fuel Oil, Kerosene, etc. | 17, 0.11%, see rank | 0.13% | 6.46% |
Coal or Coke | 29, 0.19%, see rank | 0.06% | 0.12% |
Wood | 409, 2.68%, see rank | 6.62% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.30% | 0.04% |
Other Fuel | 81, 0.53%, see rank | 0.75% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
US Census 2000 data
| 87401 Zip Code | New Mexico | U.S. |
Total Housing Units | 14,124, 100% | 677,971 | 105,480,101 |
Utility Gas | 11,555, 81.81%, see rank | 67.65% | 51.22% |
Bottled, Tank, or LP Gas | 1,520, 10.76%, see rank | 14.52% | 6.52% |
Electricity | 625, 4.43%, see rank | 11.60% | 30.35% |
Fuel Oil, Kerosene, etc. | 35, 0.25%, see rank | 0.16% | 8.97% |
Coal or Coke | 51, 0.36%, see rank | 0.09% | 0.14% |
Wood | 291, 2.06%, see rank | 5.11% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.37% | 0.04% |
Other Fuel | 42, 0.30%, see rank | 0.35% | 0.39% |
No Fuel Used | 5, 0.04%, 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.