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Georgia No Fuel Used Heating House Percentage County Rank

Based on ACS 2006-2010 data*

A total of 129 results found. Show Results on Map.

RankNo Fuel Used Heating House Percentage ▼County / Population
1.2.5%Treutlen, GA / 6,835
2.2.0%Ben Hill, GA / 17,631
3.1.8%Turner, GA / 9,025
4.1.2%Irwin, GA / 9,642
5.1.2%Lanier, GA / 9,404
6.1.1%Thomas, GA / 44,451
7.1.1%Crisp, GA / 23,182
8.1.1%Worth, GA / 21,712
9.0.9%Echols, GA / 3,973
10.0.9%Jeff Davis, GA / 14,558
11.0.9%Grady, GA / 24,738
12.0.9%Ware, GA / 36,006
13.0.8%Bacon, GA / 10,969
14.0.8%Twiggs, GA / 9,385
14.0.8%Lee, GA / 27,998
16.0.8%Glascock, GA / 3,007
17.0.7%Liberty, GA / 63,854
18.0.7%Gilmer, GA / 28,076
19.0.7%Wilkinson, GA / 9,685
20.0.7%Screven, GA / 14,799
20.0.7%Wilkes, GA / 10,580
22.0.7%Camden, GA / 49,293
23.0.7%Candler, GA / 10,715
24.0.6%Jenkins, GA / 8,400
25.0.6%Oglethorpe, GA / 14,556
25.0.6%Burke, GA / 23,083
25.0.6%Atkinson, GA / 8,332
28.0.6%Evans, GA / 10,966
28.0.6%Wheeler, GA / 7,093
30.0.6%Jefferson, GA / 16,919
31.0.6%Stephens, GA / 25,876
32.0.6%Bryan, GA / 29,039
33.0.5%Toombs, GA / 27,151
33.0.5%Miller, GA / 6,128
35.0.5%White, GA / 26,498
36.0.5%Walker, GA / 67,845
36.0.5%Mitchell, GA / 23,697
36.0.5%Decatur, GA / 27,920
39.0.5%Emanuel, GA / 22,348
39.0.5%Johnson, GA / 9,967
41.0.5%Brantley, GA / 17,650
41.0.5%Sumter, GA / 32,865
41.0.5%Spalding, GA / 63,304
41.0.5%Habersham, GA / 42,212
45.0.5%Butts, GA / 23,401
45.0.5%Coffee, GA / 41,647
45.0.5%Tift, GA / 39,823
48.0.5%Lowndes, GA / 104,916
49.0.4%Macon, GA / 14,553
49.0.4%Cook, GA / 16,976
49.0.4%Heard, GA / 11,720
52.0.4%Brooks, GA / 16,338
52.0.4%Richmond, GA / 198,170
52.0.4%Murray, GA / 39,925
52.0.4%Hall, GA / 175,001
56.0.4%Carroll, GA / 109,227
57.0.4%Harris, GA / 30,807
57.0.4%Hancock, GA / 9,649
57.0.4%Colquitt, GA / 44,712
60.0.4%Bartow, GA / 97,423
60.0.4%Jackson, GA / 58,347
62.0.4%Glynn, GA / 77,632
62.0.4%Bleckley, GA / 12,937
62.0.4%Clarke, GA / 115,070
65.0.3%Whitfield, GA / 99,910
65.0.3%Bibb, GA / 154,810
65.0.3%Dade, GA / 16,595
68.0.3%Houston, GA / 134,880
69.0.3%Pierce, GA / 18,205
69.0.3%Franklin, GA / 22,121
71.0.3%Chattooga, GA / 25,985
71.0.3%Pike, GA / 17,411
71.0.3%Dougherty, GA / 94,514
71.0.3%Pickens, GA / 29,155
71.0.3%Effingham, GA / 50,513
76.0.3%Long, GA / 13,142
77.0.3%Bulloch, GA / 67,298
78.0.3%Haralson, GA / 28,574
78.0.3%Webster, GA / 2,727
80.0.3%Banks, GA / 17,840
81.0.3%Dooly, GA / 14,283
81.0.3%Newton, GA / 96,833
83.0.2%Chatham, GA / 256,428
84.0.2%Jasper, GA / 13,695
84.0.2%Peach, GA / 26,883
84.0.2%Barrow, GA / 66,359
84.0.2%Washington, GA / 21,112
88.0.2%Douglas, GA / 127,800
89.0.2%Fulton, GA / 886,982
89.0.2%Monroe, GA / 25,864
89.0.2%Dawson, GA / 21,758
89.0.2%Muscogee, GA / 187,629
93.0.2%Berrien, GA / 18,708
93.0.2%Oconee, GA / 31,508
95.0.2%Floyd, GA / 95,810
95.0.2%Telfair, GA / 16,052
97.0.2%Clayton, GA / 260,156
97.0.2%Columbia, GA / 117,858
97.0.2%Gordon, GA / 54,059
97.0.2%Polk, GA / 41,095
101.0.2%Catoosa, GA / 62,951
102.0.1%Dekalb, GA / 685,371
102.0.1%Walton, GA / 81,491
104.0.1%Jones, GA / 28,292
104.0.1%Morgan, GA / 17,741
104.0.1%Chattahoochee, GA / 11,702
104.0.1%Fayette, GA / 105,344
108.0.1%Gwinnett, GA / 778,022
108.0.1%Troup, GA / 65,652
108.0.1%Fannin, GA / 23,337
108.0.1%Laurens, GA / 48,034
112.0.1%Terrell, GA / 9,647
112.0.1%Tattnall, GA / 24,263
114.0.1%Paulding, GA / 134,875
114.0.1%Rockdale, GA / 83,135
114.0.1%Wilcox, GA / 9,041
114.0.1%Wayne, GA / 29,705
114.0.1%Henry, GA / 193,717
114.0.1%Forsyth, GA / 163,885
114.0.1%Lumpkin, GA / 28,875
121.0.1%Cobb, GA / 677,402
122.0.1%Coweta, GA / 121,528
123.0.1%Greene, GA / 15,844
124.0.0%Cherokee, GA / 206,283
125.0.0%Lincoln, GA / 8,111
125.0.0%Baldwin, GA / 46,905
127.0.0%Hart, GA / 25,024
127.0.0%Early, GA / 11,286
129.0.0%Elbert, GA / 20,421

Please note that we only rank locations with 'No Fuel Used Heating House Percentage' data. The rank above might not be a complete list. Locations without 'No Fuel Used 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.


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