A total of 42 results found. Show Results on Map.
Rank | Fuel Oil, Kerosene, etc. Heating House Percentage ▼ | City / Population |
1. | 32.6% | San Mateo, NM / 77 |
2. | 14.6% | Rodeo, NM / 108 |
3. | 12.2% | Encinal, NM / 223 |
4. | 8.1% | Floyd, NM / 110 |
5. | 6.0% | Reserve, NM / 753 |
6. | 5.8% | Isleta Village Proper, NM / 341 |
7. | 5.2% | Highland Meadows, NM / 577 |
8. | 4.9% | El Valle De Arroyo Seco, NM / 1,160 |
9. | 4.6% | Springer, NM / 1,068 |
10. | 2.6% | Alamo, NM / 754 |
11. | 2.2% | Mosquero, NM / 101 |
12. | 1.9% | Radium Springs, NM / 1,451 |
13. | 1.6% | Jemez Pueblo, NM / 1,873 |
14. | 1.0% | Agua Fria, NM / 3,081 |
15. | 1.0% | Taos Pueblo, NM / 1,030 |
16. | 1.0% | El Rancho, NM / 1,055 |
17. | 0.8% | Tularosa, NM / 2,865 |
18. | 0.7% | Cimarron, NM / 1,011 |
19. | 0.6% | Los Ranchos De Albuquerque, NM / 6,021 |
19. | 0.6% | Los Chaves, NM / 4,688 |
21. | 0.6% | Silver City, NM / 10,331 |
22. | 0.6% | Logan, NM / 1,111 |
22. | 0.6% | Santa Clara Pueblo, NM / 811 |
24. | 0.5% | La Mesilla, NM / 1,836 |
25. | 0.5% | Bloomfield, NM / 7,996 |
26. | 0.5% | Pecos, NM / 2,019 |
27. | 0.4% | Raton, NM / 6,825 |
28. | 0.4% | San Ildefonso Pueblo, NM / 746 |
29. | 0.4% | Columbus, NM / 1,442 |
30. | 0.4% | Pojoaque, NM / 2,075 |
31. | 0.3% | Sunland Park, NM / 14,267 |
32. | 0.3% | Las Vegas, NM / 13,701 |
33. | 0.2% | Deming, NM / 14,864 |
34. | 0.1% | Rio Rancho, NM / 87,068 |
35. | 0.1% | Santa Fe, NM / 68,298 |
36. | 0.1% | Farmington, NM / 45,458 |
37. | 0.1% | Espanola, NM / 10,210 |
38. | 0.1% | South Valley, NM / 42,330 |
39. | 0.1% | Bernalillo, NM / 8,302 |
40. | 0.1% | Alamogordo, NM / 30,544 |
40. | 0.1% | Albuquerque, NM / 545,083 |
42. | 0.0% | Las Cruces, NM / 97,393 |
Please note that we only rank locations with 'Fuel Oil, Kerosene, etc. Heating House Percentage' data. The rank above might not be a complete list. Locations without 'Fuel Oil, Kerosene, etc. Heating House Percentage' data are not listed.
*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.