Zip Codes with the Highest Percentage of Self-Employed Individuals in the United States

United States Report:

Percentage of Self-Employed Individuals

#	Zip Code	Location	City	Population	% Self-Employed	National Rank
1.	18936	40.220190, -75.229147	Montgomeryville, Pennsylvania	5	100.00 %	#1
2.	50059	41.913646, -94.342972	Cooper, Iowa	14	100.00 %	#2
3.	48620	43.807628, -84.380417	Edenville, Michigan	38	100.00 %	#3
4.	37684	36.308302, -82.376077	Mountain Home, Tennessee	404	100.00 %	#4
5.	99903	55.689879, -132.195857	Meyers Chuck, Alaska	24	100.00 %	#5
6.	81127	37.208736, -107.364232	Chimney Rock, Colorado	57	100.00 %	#6
7.	79330	33.039383, -101.173427	Justiceburg, Texas	60	100.00 %	#7
8.	97329	44.371138, -122.289782	Cascadia, Oregon	95	100.00 %	#8
9.	99732	63.903609, -142.055746	Chicken, Alaska	27	100.00 %	#9
10.	72133	34.174795, -91.567555	Reydell, Arkansas	23	100.00 %	#10
11.	04635	44.112115, -68.355140	Frenchboro, Maine	38	84.61 %	#11
12.	65484	37.375913, -92.234415	Huggins, Missouri	182	82.35 %	#12
13.	59424	47.394232, -110.005500	Coffee Creek, Montana	22	81.81 %	#13
14.	81243	38.222076, -107.186763	Powderhorn, Colorado	76	78.37 %	#14
15.	95587	39.955587, -123.681175	Piercy, California	193	77.58 %	#15
16.	70787	30.981734, -91.467693	Weyanoke, Louisiana	181	75.00 %	#16
17.	77428	28.717530, -96.147938	Collegeport, Texas	77	75.00 %	#17
18.	57650	45.820761, -103.003917	Ralph, South Dakota	68	74.28 %	#18
19.	89826	41.897119, -115.420442	Jarbidge, Nevada	51	73.07 %	#19
20.	98297	48.700506, -123.028733	Waldron, Washington	104	72.41 %	#20
21.	59332	45.346722, -104.828559	Hammond, Montana	186	70.87 %	#22
22.	61758	40.532092, -88.845076	Merna, Illinois	87	70.83 %	#23
23.	59242	48.420444, -104.711144	Homestead, Montana	35	70.83 %	#24
24.	83215	43.443012, -112.812768	Atomic City, Idaho	20	66.66 %	#26
25.	59244	48.578706, -106.336522	Larslan, Montana	112	65.62 %	#27
26.	63433	39.560628, -91.184753	Ashburn, Missouri	56	65.00 %	#28
27.	97909	44.243161, -117.428615	Jamieson, Oregon	49	64.70 %	#29
28.	86433	35.020161, -114.445608	Oatman, Arizona	128	64.28 %	#30
29.	57644	45.430009, -102.120481	Meadow, South Dakota	308	63.70 %	#31
30.	69037	40.180334, -101.417338	Max, Nebraska	104	63.29 %	#32
31.	56741	49.310491, -94.850100	Oak Island, Minnesota	31	63.15 %	#33
32.	87827	34.359602, -108.173676	Pie Town, New Mexico	191	62.74 %	#34
33.	83463	45.599557, -113.910883	Gibbonsville, Idaho	53	62.50 %	#35
34.	88033	32.158215, -107.128065	Fairacres, New Mexico	49	61.53 %	#36
35.	99695	61.426177, -150.677083	Anchorage, Alaska	35	60.00 %	#39
36.	59928	48.809070, -114.069666	Polebridge, Montana	90	60.00 %	#40
37.	76842	30.939820, -99.079893	Fredonia, Texas	165	59.57 %	#42
38.	04625	44.240082, -68.263388	Cranberry Isles, Maine	54	59.25 %	#43
39.	57651	45.475472, -103.148843	Reva, South Dakota	150	58.90 %	#44
40.	97920	44.046768, -117.730036	Westfall, Oregon	37	58.33 %	#45
41.	57737	44.476477, -102.538899	Enning, South Dakota	49	58.33 %	#46
42.	95364	38.224869, -119.755729	Pinecrest, California	232	57.69 %	#47
43.	57571	43.114752, -99.094968	Saint Charles, South Dakota	58	57.14 %	#48
44.	97543	42.362947, -123.531461	Wilderville, Oregon	83	56.66 %	#49
45.	73719	36.956755, -98.273248	Amorita, Oklahoma	117	56.60 %	#50
46.	57758	44.980444, -102.784344	Mud Butte, South Dakota	146	56.25 %	#51
47.	80824	39.650352, -102.507129	Kirk, Colorado	291	56.06 %	#52
48.	67155	37.274948, -99.137561	Wilmore, Kansas	204	55.96 %	#53
49.	99927	56.334985, -133.555295	Point Baker, Alaska	120	55.93 %	#54
50.	57649	45.526333, -102.900156	Prairie City, South Dakota	232	55.63 %	#55
51.	81081	37.065471, -104.155847	Trinchera, Colorado	73	55.55 %	#56
52.	79025	34.925917, -102.217648	Dawn, Texas	138	55.55 %	#57
53.	78001	28.261342, -99.294419	Artesia Wells, Texas	41	55.55 %	#58
54.	59058	47.025164, -107.805201	Mosby, Montana	40	55.55 %	#59
55.	26838	38.810319, -79.060323	Milam, West Virginia	29	55.55 %	#60
56.	04852	43.765371, -69.313317	Monhegan, Maine	75	55.38 %	#61
57.	97033	45.197868, -120.580572	Kent, Oregon	74	54.54 %	#62
58.	82714	44.563360, -104.685682	Devils Tower, Wyoming	85	54.54 %	#63
59.	21665	38.751800, -76.332597	Sherwood, Maryland	203	54.16 %	#64
60.	57470	44.883901, -98.894286	Rockham, South Dakota	205	54.11 %	#65
61.	59276	48.952233, -105.212453	Whitetail, Montana	71	53.84 %	#67
62.	26671	38.316657, -80.933117	Gilboa, West Virginia	216	53.33 %	#68
63.	57537	44.544939, -101.076340	Hayes, South Dakota	134	53.33 %	#69
64.	98280	48.602487, -122.876547	Orcas, Washington	378	53.12 %	#70
65.	22646	39.072518, -78.050929	Millwood, Virginia	106	53.06 %	#71
66.	59322	47.036069, -106.563274	Cohagen, Montana	203	52.94 %	#72
67.	59311	45.203101, -104.417307	Alzada, Montana	202	52.83 %	#73
68.	69354	42.490539, -103.218623	Marsland, Nebraska	65	52.77 %	#74
69.	08329	39.275985, -75.007658	Mauricetown, New Jersey	162	52.68 %	#75
70.	59076	46.278042, -107.075551	Sanders, Montana	47	52.63 %	#76
71.	76885	30.858957, -98.861313	Valley Spring, Texas	41	52.38 %	#77
72.	57780	43.780909, -102.408282	Scenic, South Dakota	209	52.05 %	#79
73.	57574	43.106893, -101.364053	Tuthill, South Dakota	178	52.00 %	#80
74.	39161	32.502231, -89.868785	Sandhill, Mississippi	82	51.85 %	#81
75.	98243	48.620140, -123.022775	Deer Harbor, Washington	141	51.78 %	#82
76.	84712	37.991199, -112.098573	Antimony, Utah	132	51.78 %	#83
77.	34661	28.629596, -82.251097	Nobleton, Florida	152	51.51 %	#84
78.	58654	46.820725, -103.771220	Sentinel Butte, North Dakota	358	51.40 %	#85
79.	57420	45.313510, -100.171670	Akaska, South Dakota	92	51.35 %	#86
80.	67559	38.400217, -99.455489	Nekoma, Kansas	60	51.28 %	#87
81.	98853	47.400025, -119.286995	Stratford, Washington	56	50.00 %	#88
82.	99146	48.957294, -118.280382	Laurier, Washington	44	50.00 %	#89
83.	79519	32.025283, -99.701180	Goldsboro, Texas	46	50.00 %	#90
84.	79259	34.369432, -100.415313	Tell, Texas	60	50.00 %	#91
85.	65246	39.373460, -93.017421	Dalton, Missouri	141	50.00 %	#92
86.	48743	44.442112, -83.876347	Long Lake, Michigan	25	50.00 %	#93
87.	57027	43.192125, -96.519558	Fairview, South Dakota	54	50.00 %	#94
88.	57755	45.846200, -103.331974	Ludlow, South Dakota	153	50.00 %	#95
89.	58056	47.262227, -97.918471	Luverne, North Dakota	205	50.00 %	#96
90.	58430	47.529396, -100.269507	Denhoff, North Dakota	119	50.00 %	#97
91.	30638	33.776298, -83.424829	Farmington, Georgia	45	50.00 %	#98
92.	57552	44.233515, -101.202033	Midland, South Dakota	599	49.82 %	#99
93.	59025	45.118822, -106.673672	Decker, Montana	96	49.36 %	#100
94.	04646	44.259145, -68.229017	Islesford, Maine	74	48.57 %	#101
95.	58013	46.057851, -97.353266	Cayuga, North Dakota	184	48.57 %	#102
96.	64441	40.404844, -94.261379	Denver, Missouri	171	48.27 %	#103
97.	58363	48.768972, -99.449253	Perth, North Dakota	93	48.00 %	#104
98.	58385	48.479811, -99.656395	Wolford, North Dakota	199	47.95 %	#105
99.	02669	41.666646, -69.989702	West Chatham, Massachusetts	156	47.82 %	#106
100.	83657	44.186914, -116.347219	Ola, Idaho	171	47.72 %	#107

1-100 out of 31,697 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