Zip Codes with the Highest Percentage of Households heated by Utility Gas in the United States

United States Report:

Percentage of Households heated by Utility Gas

#	Zip Code	Location	City	Population	% Utility Gas	National Rank
1.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	100.00 %	#1
2.	88003	32.277763, -106.746824	Las Cruces, New Mexico	1,614	100.00 %	#2
3.	15347	40.214274, -80.228805	Meadow Lands, Pennsylvania	62	100.00 %	#3
4.	15484	39.895523, -79.793894	Uledi, Pennsylvania	90	100.00 %	#4
5.	24415	37.932493, -79.322085	Brownsburg, Virginia	21	100.00 %	#5
6.	25048	37.949868, -81.420217	Colcord, West Virginia	12	100.00 %	#6
7.	26438	39.346741, -80.318876	Spelter, West Virginia	24	100.00 %	#7
8.	25916	37.677699, -81.500782	Sabine, West Virginia	95	100.00 %	#9
9.	29375	34.862576, -82.110212	Reidville, South Carolina	33	100.00 %	#10
10.	37394	35.538301, -85.860898	Viola, Tennessee	49	100.00 %	#11
11.	38157	35.114207, -89.891661	Memphis, Tennessee	75	100.00 %	#12
12.	43555	41.432513, -84.257028	Ridgeville Corners, Ohio	209	100.00 %	#13
13.	44816	41.334551, -82.355645	Birmingham, Ohio	105	100.00 %	#14
14.	43928	40.009876, -80.894430	Glencoe, Ohio	100	100.00 %	#15
15.	43791	39.858739, -82.111949	White Cottage, Ohio	15	100.00 %	#16
16.	44619	40.901082, -80.956050	Damascus, Ohio	27	100.00 %	#17
17.	43439	41.517886, -83.042742	Lacarne, Ohio	74	100.00 %	#18
18.	46502	41.259706, -85.971725	Atwood, Indiana	62	100.00 %	#19
19.	46946	41.040430, -85.728422	Liberty Mills, Indiana	139	100.00 %	#20
20.	46513	41.362893, -86.448143	Donaldson, Indiana	56	100.00 %	#21
21.	45349	39.990917, -83.938169	North Hampton, Ohio	110	100.00 %	#22
22.	46998	40.574753, -86.350827	Young America, Indiana	115	100.00 %	#23
23.	42444	37.641793, -87.635584	Poole, Kentucky	46	100.00 %	#24
24.	47545	38.414241, -87.001384	Ireland, Indiana	19	100.00 %	#25
25.	48874	43.186774, -84.601381	Pompeii, Michigan	174	100.00 %	#26
26.	48440	42.952979, -83.404762	Hadley, Michigan	56	100.00 %	#27
27.	51459	42.041022, -94.633514	Ralston, Iowa	18	100.00 %	#28
28.	53706	43.075823, -89.409403	Madison, Wisconsin	5,293	100.00 %	#29
29.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	100.00 %	#30
30.	49335	42.745386, -85.668963	Moline, Michigan	219	100.00 %	#31
31.	50241	41.308523, -93.731721	Saint Marys, Iowa	7	100.00 %	#32
32.	50649	42.662507, -92.910409	Kesley, Iowa	25	100.00 %	#33
33.	61112	42.247501, -88.976554	Rockford, Illinois	3	100.00 %	#34
34.	60557	41.438362, -88.769875	Wedron, Illinois	101	100.00 %	#35
35.	61236	41.518293, -90.356769	Barstow, Illinois	58	100.00 %	#36
36.	60603	41.880614, -87.629311	Chicago, Illinois	378	100.00 %	#37
37.	61331	41.745142, -89.276970	Lee Center, Illinois	51	100.00 %	#38
38.	61332	41.189533, -88.982636	Leonore, Illinois	36	100.00 %	#39
39.	60519	41.778113, -88.242002	Eola, Illinois	74	100.00 %	#40
40.	60536	41.596596, -88.556603	Millbrook, Illinois	96	100.00 %	#41
41.	61077	42.237411, -89.358030	Seward, Illinois	42	100.00 %	#42
42.	61276	41.303276, -90.597164	Preemption, Illinois	71	100.00 %	#43
43.	62273	38.779550, -89.597009	Pierron, Illinois	46	100.00 %	#44
44.	57799	44.492703, -103.869922	Spearfish, South Dakota	18	100.00 %	#45
45.	64192	38.955811, -94.523770	Kansas City, Missouri	19	100.00 %	#46
46.	71330	31.109760, -92.237537	Echo, Louisiana	75	100.00 %	#47
47.	71659	34.154088, -91.814557	Moscow, Arkansas	8	100.00 %	#48
48.	75247	32.813447, -96.879784	Dallas, Texas	254	100.00 %	#49
49.	75207	32.787700, -96.820656	Dallas, Texas	8,116	100.00 %	#50
50.	79326	34.052314, -102.211970	Fieldton, Texas	42	100.00 %	#51
51.	79231	33.944960, -101.092423	Dougherty, Texas	79	100.00 %	#52
52.	84334	41.794207, -112.150906	Riverside, Utah	145	100.00 %	#53
53.	95481	39.131189, -123.163371	Talmage, California	98	100.00 %	#54
54.	95537	40.726949, -124.217378	Fields Landing, California	213	100.00 %	#55
55.	07608	40.852999, -74.060355	Teterboro, New Jersey	18	100.00 %	#56
56.	16236	40.783561, -79.521218	Mc Grann, Pennsylvania	271	99.17 %	#57
57.	60029	42.056978, -87.791914	Golf, Illinois	354	98.34 %	#58
58.	14102	42.835266, -78.563136	Marilla, New York	1,111	97.80 %	#59
59.	60157	41.974486, -88.054956	Medinah, Illinois	2,111	97.17 %	#60
60.	60184	41.961142, -88.254439	Wayne, Illinois	698	96.96 %	#61
61.	61263	41.260125, -90.605180	Matherville, Illinois	307	96.89 %	#62
62.	16228	40.760873, -79.535483	Ford Cliff, Pennsylvania	412	96.79 %	#63
63.	15007	40.650126, -79.932457	Bakerstown, Pennsylvania	345	96.37 %	#64
64.	55150	44.885619, -93.169985	Mendota, Minnesota	152	96.15 %	#65
65.	20896	39.034788, -77.093002	Garrett Park, Maryland	598	96.03 %	#66
66.	46373	41.448355, -87.467901	Saint John, Indiana	8,279	95.94 %	#67
67.	10931	41.127584, -74.170333	Hillburn, New York	881	95.80 %	#68
68.	60190	41.867918, -88.162954	Winfield, Illinois	12,065	95.76 %	#69
69.	50623	42.535262, -92.211102	Dewar, Iowa	113	95.74 %	#70
70.	16213	41.125669, -79.557671	Callensburg, Pennsylvania	220	95.69 %	#71
71.	60013	42.221455, -88.240800	Cary, Illinois	24,226	95.60 %	#72
72.	10913	41.068258, -73.954975	Blauvelt, New York	5,076	95.56 %	#73
73.	60467	41.600117, -87.892455	Orland Park, Illinois	20,904	95.51 %	#74
74.	80542	40.229629, -104.988853	Mead, Colorado	865	95.45 %	#75
75.	48069	42.471383, -83.143874	Pleasant Ridge, Michigan	2,384	95.40 %	#76
76.	50032	41.666524, -93.525834	Berwick, Iowa	370	95.32 %	#77
77.	48125	42.277334, -83.264832	Dearborn Heights, Michigan	22,648	95.29 %	#78
78.	46311	41.464988, -87.508687	Dyer, Indiana	17,036	95.27 %	#79
79.	43005	40.278728, -82.278071	Bladensburg, Ohio	140	95.23 %	#80
80.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	95.21 %	#81
81.	60558	41.804795, -87.901530	Western Springs, Illinois	12,539	95.00 %	#82
82.	48240	42.424484, -83.301490	Redford, Michigan	19,151	94.97 %	#83
83.	48154	42.397155, -83.373594	Livonia, Michigan	40,556	94.95 %	#84
84.	44131	41.383164, -81.651749	Independence, Ohio	20,666	94.93 %	#85
85.	60154	41.847756, -87.892103	Westchester, Illinois	16,714	94.83 %	#86
86.	60456	41.730548, -87.731295	Hometown, Illinois	4,452	94.82 %	#87
87.	43437	41.247708, -83.599364	Jerry City, Ohio	225	94.80 %	#88
88.	48082	42.526938, -82.887639	Saint Clair Shores, Michigan	16,613	94.73 %	#89
89.	60476	41.569482, -87.601706	Thornton, Illinois	2,601	94.60 %	#90
90.	10983	41.031088, -73.947703	Tappan, New York	5,756	94.58 %	#91
91.	48437	43.109331, -83.622697	Genesee, Michigan	373	94.57 %	#92
92.	84093	40.593954, -111.827480	Sandy, Utah	25,324	94.53 %	#93
93.	60047	42.200425, -88.047505	Lake Zurich, Illinois	38,168	94.52 %	#94
94.	26348	39.462602, -80.545355	Folsom, West Virginia	225	94.50 %	#95
95.	60473	41.597379, -87.599150	South Holland, Illinois	22,218	94.44 %	#96
96.	60177	41.988195, -88.308090	South Elgin, Illinois	16,941	94.39 %	#97
97.	55085	44.673833, -92.967957	Vermillion, Minnesota	237	94.38 %	#98
98.	48128	42.320650, -83.268726	Dearborn, Michigan	10,519	94.29 %	#99
99.	46508	41.150407, -85.976783	Burket, Indiana	188	94.28 %	#100
100.	14059	42.835012, -78.642549	Elma, New York	8,937	94.27 %	#101

1-100 out of 31,719 total

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% Apart./Condos
% Arabs
% Asians
% Blacks
% Bottled Gas
% Carpool to Work
% Children Under 10
% Chinese
% Coal / Coke
% College Grad.
% Construction Jobs
% Cubans
% Czechs
% Danish
% Detached
% Drive to Work
% Dutch
% Electrical
% English
% Farming Jobs
% Filipinos
% French
% French Canadians
% Fuel/Oil
% Germans
% Gov. Employees

% Greeks
% H/Income < $10k
% H/Income > $100k
% H/holds 1+ Car
% H/holds 2+ Cars
% High School Grad.
% Hispanics
% Hungarians
% In Agricultural
% In Arts
% In College
% In Construction
% In Finance
% In High School
% In IT
% In Labor Force
% In Labor Force (f)
% In Labor Force (m)
% In Manufacturing
% In Military
% In Retail Trade
% In Science
% In Social Work
% In Transportation
% Income Over $200k
% Indians (Asian)

% Irish
% Italians
% Japanese
% Korens
% Lithuanians
% Management Jobs
% Mexicans
% Natives
% No-Mortgage Prop.
% Norwegians
% Not in Labor Force
% Owner-Occupied
% Poles
% Portugese
% Poverty Level
% Poverty Level
% Production Jobs
% Properties < $200k
% Properties < $500k
% Properties > $1M
% Properties > $500k
% Pub/Transit
% Russians
% Sales Jobs
% Scotts
% Self-Employed

% Seniors Over 65
% Service Jobs
% Slovaks
% Solar Heated
% Swedes
% Swiss
% Tenant-Occupied
% Ukranians
% Unemployment Rate
% Utility Gas
% Vacant Homes
% Walk to Work
% Welsh
% West Indians
% Whites
% Wood Heated
% Work from Home
Avg. Income/H/hold
Avg. Income/Person
Avg. Population Age
Commute Time
Females / Male
Males / Female
People / Sq. Mile
Rooms / Home