88061 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 88061 Zip Code | New Mexico | U.S. |
Total Housing Units | 7,724, 100% | 764,684 | 116,211,092 |
Utility Gas | 4,171, 54.00%, see rank | 66.93% | 48.85% |
Bottled, Tank, or LP Gas | 1,433, 18.55%, see rank | 8.60% | 4.86% |
Electricity | 1,315, 17.02%, 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 | 693, 8.97%, see rank | 6.80% | 2.12% |
Solar Energy | 25, 0.32%, see rank | 0.26% | 0.05% |
Other Fuel | 87, 1.13%, see rank | 0.94% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| 88061 Zip Code | New Mexico | U.S. |
Total Housing Units | 7,776, 100% | 763,844 | 115,226,802 |
Utility Gas | 4,200, 54.01%, see rank | 67.49% | 49.42% |
Bottled, Tank, or LP Gas | 1,523, 19.59%, see rank | 9.61% | 5.03% |
Electricity | 913, 11.74%, see rank | 14.88% | 35.51% |
Fuel Oil, Kerosene, etc. | 55, 0.71%, see rank | 0.13% | 6.46% |
Coal or Coke | 25, 0.32%, see rank | 0.06% | 0.12% |
Wood | 884, 11.37%, see rank | 6.62% | 2.08% |
Solar Energy | 28, 0.36%, see rank | 0.30% | 0.04% |
Other Fuel | 148, 1.90%, see rank | 0.75% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
US Census 2000 data
| 88061 Zip Code | New Mexico | U.S. |
Total Housing Units | 8,042, 100% | 677,971 | 105,480,101 |
Utility Gas | 4,543, 56.49%, see rank | 67.65% | 51.22% |
Bottled, Tank, or LP Gas | 2,135, 26.55%, see rank | 14.52% | 6.52% |
Electricity | 566, 7.04%, see rank | 11.60% | 30.35% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.16% | 8.97% |
Coal or Coke | 3, 0.04%, see rank | 0.09% | 0.14% |
Wood | 634, 7.88%, see rank | 5.11% | 1.68% |
Solar Energy | 89, 1.11%, see rank | 0.37% | 0.04% |
Other Fuel | 61, 0.76%, see rank | 0.35% | 0.39% |
No Fuel Used | 11, 0.14%, 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.