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

United States Report:

Percentage of Households heated by Bottled Gas

#	Zip Code	Location	City	Population	% Bottled Gas	National Rank
1.	27841	35.909798, -77.277674	Hassell, North Carolina	40	100.00 %	#1
2.	88431	35.168688, -104.216453	Newkirk, New Mexico	35	100.00 %	#2
3.	40020	37.937581, -85.389770	Fairfield, Kentucky	40	100.00 %	#3
4.	47392	39.902344, -84.945198	Webster, Indiana	68	100.00 %	#4
5.	51502	41.272467, -95.795890	Council Bluffs, Iowa	137	100.00 %	#5
6.	50552	42.456140, -94.455937	Knierim, Iowa	70	100.00 %	#7
7.	50059	41.913646, -94.342972	Cooper, Iowa	14	100.00 %	#8
8.	50152	41.966442, -93.821256	Luther, Iowa	26	100.00 %	#9
9.	50033	41.358651, -93.793307	Bevington, Iowa	55	100.00 %	#10
10.	57027	43.192125, -96.519558	Fairview, South Dakota	54	100.00 %	#11
11.	62541	39.967890, -89.356799	Lake Fork, Illinois	33	100.00 %	#12
12.	62519	39.937119, -89.402244	Cornland, Illinois	85	100.00 %	#13
13.	58255	48.996928, -98.351766	Maida, North Dakota	6	100.00 %	#14
14.	72133	34.174795, -91.567555	Reydell, Arkansas	23	100.00 %	#15
15.	67049	37.169188, -97.847304	Freeport, Kansas	70	100.00 %	#16
16.	79759	31.841338, -102.749297	Notrees, Texas	20	100.00 %	#17
17.	80019	39.786982, -104.702170	Aurora, Colorado	61	100.00 %	#18
18.	82061	41.445182, -105.161358	Horse Creek, Wyoming	21	100.00 %	#19
19.	80745	40.873212, -103.398576	Padroni, Colorado	175	100.00 %	#20
20.	95140	37.382909, -121.634151	Mount Hamilton, California	35	100.00 %	#21
21.	36013	32.307664, -85.981615	Cecil, Alabama	114	100.00 %	#22
22.	52219	42.231353, -91.413194	Prairieburg, Iowa	123	95.65 %	#23
23.	72377	35.678574, -90.355117	Rivervale, Arkansas	85	93.61 %	#24
24.	52660	40.994471, -91.289817	Yarmouth, Iowa	238	92.66 %	#25
25.	61479	40.999055, -89.654666	Speer, Illinois	169	91.54 %	#27
26.	72441	36.436798, -90.384165	Mc Dougal, Arkansas	124	91.30 %	#28
27.	38739	34.062028, -90.499326	Dublin, Mississippi	135	90.47 %	#29
28.	59338	46.621555, -105.688182	Kinsey, Montana	166	88.52 %	#30
29.	50599	42.579322, -93.823217	Woolstock, Iowa	424	88.15 %	#31
30.	72428	35.743817, -90.218066	Etowah, Arkansas	141	87.93 %	#32
31.	39115	33.075985, -90.601003	Midnight, Mississippi	160	87.09 %	#33
32.	50524	42.616853, -94.353838	Clare, Iowa	570	87.03 %	#34
33.	58528	46.321486, -100.659538	Cannon Ball, North Dakota	864	86.99 %	#35
34.	57716	43.124273, -102.189729	Batesland, South Dakota	486	86.84 %	#36
35.	52036	42.473210, -91.340719	Delaware, Iowa	188	86.66 %	#37
36.	50477	42.988367, -93.327335	Swaledale, Iowa	341	86.52 %	#38
37.	54637	43.880448, -90.270617	Hustler, Wisconsin	42	86.36 %	#39
38.	62434	38.842186, -88.321609	Ingraham, Illinois	540	86.36 %	#40
39.	52758	41.744789, -90.444448	Mc Causland, Iowa	107	86.04 %	#41
40.	45870	40.555793, -83.953263	New Hampshire, Ohio	85	86.04 %	#42
41.	79853	31.448142, -106.079592	Tornillo, Texas	3,094	85.90 %	#43
42.	50057	41.178649, -93.156473	Columbia, Iowa	217	85.71 %	#44
43.	50134	41.941372, -93.672132	Kelley, Iowa	682	85.71 %	#45
44.	51244	43.242534, -95.934580	Matlock, Iowa	45	85.71 %	#46
45.	66422	39.320627, -96.045458	Emmett, Kansas	600	85.58 %	#47
46.	50440	43.333341, -93.071258	Grafton, Iowa	531	85.53 %	#48
47.	52044	42.762559, -91.320995	Elkport, Iowa	208	85.22 %	#49
48.	51051	42.206091, -95.964960	Rodney, Iowa	82	84.78 %	#51
49.	62436	39.168862, -88.248643	Jewett, Illinois	572	84.72 %	#52
50.	50518	42.525935, -94.365516	Barnum, Iowa	518	84.61 %	#53
51.	55961	43.604110, -92.468363	Ostrander, Minnesota	453	83.90 %	#54
52.	88338	33.480115, -105.365972	Lincoln, New Mexico	51	83.72 %	#55
53.	82942	41.707864, -108.838928	Point Of Rocks, Wyoming	62	83.72 %	#56
54.	50252	41.456518, -93.319788	Swan, Iowa	345	83.47 %	#57
55.	50132	42.391303, -93.683863	Kamrar, Iowa	433	83.33 %	#58
56.	93282	36.120706, -119.516717	Waukena, California	61	83.33 %	#59
57.	62876	38.291101, -89.190269	Radom, Illinois	330	83.33 %	#60
58.	50137	41.608226, -92.904421	Killduff, Iowa	64	83.33 %	#61
59.	82243	41.974686, -104.395244	Veteran, Wyoming	130	83.01 %	#62
60.	50038	41.524581, -93.896420	Booneville, Iowa	322	83.00 %	#63
61.	62444	39.277730, -88.754860	Mode, Illinois	339	82.58 %	#64
62.	67836	38.086362, -102.019684	Coolidge, Kansas	120	82.53 %	#65
63.	50520	42.787924, -94.394376	Bradgate, Iowa	203	82.29 %	#66
64.	68315	40.240028, -97.554047	Belvidere, Nebraska	169	82.19 %	#67
65.	38669	34.175932, -90.716390	Sherard, Mississippi	72	82.14 %	#68
66.	61544	40.687335, -90.227748	London Mills, Illinois	706	81.97 %	#69
67.	50464	43.253037, -93.078691	Plymouth, Iowa	731	81.81 %	#70
68.	51548	41.305261, -95.619970	Mc Clelland, Iowa	539	81.59 %	#71
69.	68416	40.397776, -97.448746	Ohiowa, Nebraska	278	81.56 %	#73
70.	52355	41.459265, -92.178750	Webster, Iowa	339	81.56 %	#74
71.	58538	46.086236, -100.731754	Fort Yates, North Dakota	2,386	81.54 %	#75
72.	50218	41.348309, -93.880520	Patterson, Iowa	126	81.42 %	#76
73.	61532	40.348465, -89.811894	Forest City, Illinois	640	81.37 %	#77
74.	35139	33.711029, -86.966734	Sayre, Alabama	107	81.25 %	#78
75.	47916	39.983856, -87.055715	Alamo, Indiana	98	81.25 %	#79
76.	47943	41.061842, -87.283209	Fair Oaks, Indiana	763	81.18 %	#80
77.	43541	41.301507, -83.828327	Milton Center, Ohio	178	81.08 %	#81
78.	53928	43.426783, -89.149606	Doylestown, Wisconsin	49	80.95 %	#82
79.	67761	38.935119, -101.490370	Wallace, Kansas	277	80.90 %	#83
80.	67478	39.382395, -97.938795	Simpson, Kansas	93	80.85 %	#84
81.	52566	41.152849, -92.487901	Kirkville, Iowa	139	80.76 %	#85
82.	61431	40.608009, -90.276497	Ellisville, Illinois	328	80.48 %	#86
83.	50001	41.350323, -93.438920	Ackworth, Iowa	615	80.46 %	#87
84.	67635	39.602593, -100.447117	Dresden, Kansas	237	80.43 %	#88
85.	57346	44.222157, -99.410525	Stephan, South Dakota	144	80.00 %	#89
86.	65784	36.689459, -92.319386	Zanoni, Missouri	34	80.00 %	#90
87.	68039	42.116251, -96.345452	Macy, Nebraska	1,432	79.82 %	#91
88.	66741	37.721220, -94.677329	Garland, Kansas	263	79.80 %	#92
89.	50460	43.225653, -92.683128	Orchard, Iowa	393	79.71 %	#93
90.	31045	33.297917, -82.766028	Jewell, Georgia	142	79.68 %	#94
91.	50673	42.526856, -92.711757	Stout, Iowa	217	79.48 %	#96
92.	51452	42.130556, -94.786762	Lidderdale, Iowa	177	79.48 %	#97
93.	52568	41.180554, -92.240099	Martinsburg, Iowa	89	79.41 %	#98
94.	62809	38.281962, -88.329187	Barnhill, Illinois	239	79.41 %	#99
95.	50034	42.510193, -93.651111	Blairsburg, Iowa	496	79.29 %	#100
96.	68964	40.231329, -97.895305	Oak, Nebraska	124	79.03 %	#101
97.	53540	43.221828, -90.293606	Gotham, Wisconsin	142	79.03 %	#102
98.	88411	35.193182, -103.198705	Bard, New Mexico	70	78.94 %	#103
99.	42403	37.449359, -87.929438	Blackford, Kentucky	30	78.94 %	#104
100.	67485	39.299575, -98.518419	Tipton, Kansas	408	78.91 %	#105

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