Zip Codes with the Highest Percentage of Government Employees in the United States

United States Report:

Percentage of Government Employees

#	Zip Code	Location	City	Population	% Gov. Employees	National Rank
1.	97817	44.710498, -118.803610	Bates, Oregon	11	100.00 %	#2
2.	26302	39.263520, -80.310260	Clarksburg, West Virginia	41	100.00 %	#3
3.	24855	37.409498, -81.425190	Kyle, West Virginia	62	100.00 %	#4
4.	32970	27.750398, -80.449289	Wabasso, Florida	115	100.00 %	#5
5.	32447	30.759193, -85.254106	Marianna, Florida	308	100.00 %	#6
6.	40844	37.057806, -83.341375	Hoskinston, Kentucky	246	100.00 %	#7
7.	49434	42.769658, -86.205446	Macatawa, Michigan	44	100.00 %	#8
8.	49864	45.846475, -86.665725	Nahma, Michigan	21	100.00 %	#9
9.	06376	41.294723, -72.255852	South Lyme, Connecticut	68	100.00 %	#10
10.	41725	37.329030, -83.035728	Carrie, Kentucky	34	100.00 %	#11
11.	45352	40.050152, -84.744321	Palestine, Ohio	170	100.00 %	#12
12.	63464	39.964496, -92.064581	Plevna, Missouri	43	100.00 %	#13
13.	81330	37.238358, -108.462927	Mesa Verde National Park, Colorado	37	100.00 %	#14
14.	84034	40.134804, -113.889614	Ibapah, Utah	128	100.00 %	#15
15.	92323	35.206794, -115.402108	Cima, California	21	100.00 %	#16
16.	90822	33.778436, -118.118648	Long Beach, California	422	100.00 %	#17
17.	93447	35.666506, -120.645457	Paso Robles, California	794	100.00 %	#18
18.	95978	39.904002, -121.527823	Stirling City, California	16	100.00 %	#19
19.	95721	38.851842, -120.076204	Echo Lake, California	60	100.00 %	#20
20.	95424	38.970739, -122.663820	Clearlake Park, California	91	100.00 %	#21
21.	88417	35.003420, -104.379686	Cuervo, New Mexico	58	100.00 %	#22
22.	88040	31.941716, -108.387538	Hachita, New Mexico	86	100.00 %	#23
23.	86052	36.416061, -112.275150	North Rim, Arizona	32	100.00 %	#24
24.	89017	37.679878, -115.407429	Hiko, Nevada	130	100.00 %	#25
25.	25870	37.665944, -81.440413	Maben, West Virginia	91	100.00 %	#26
26.	99679	61.105217, -160.949304	Tuluksak, Alaska	428	93.65 %	#27
27.	88036	32.874036, -108.126861	Fort Bayard, New Mexico	188	93.18 %	#28
28.	93262	36.527243, -118.594938	Sequoia National Park, California	38	90.90 %	#29
29.	38738	33.922888, -90.540753	Parchman, Mississippi	4,906	90.17 %	#30
30.	99691	63.063580, -154.354924	Nikolai, Alaska	106	90.00 %	#31
31.	99733	65.838956, -144.179638	Circle, Alaska	100	89.47 %	#32
32.	99745	66.044722, -154.237175	Hughes, Alaska	78	88.88 %	#33
33.	99551	60.872169, -161.437331	Akiachak, Alaska	585	84.56 %	#34
34.	99648	55.923514, -159.307650	Perryville, Alaska	112	84.37 %	#35
35.	99548	56.239261, -158.749714	Chignik Lake, Alaska	142	84.37 %	#36
36.	70712	30.922860, -91.601968	Angola, Louisiana	5,516	83.85 %	#37
37.	94592	38.093701, -122.276589	Vallejo, California	149	83.52 %	#38
38.	99651	58.969257, -161.725691	Platinum, Alaska	41	83.33 %	#39
39.	99769	63.348840, -169.918567	Savoonga, Alaska	643	83.13 %	#40
40.	99589	58.828125, -161.838714	Goodnews Bay, Alaska	232	83.05 %	#41
41.	99628	58.898725, -158.929764	Manokotak, Alaska	399	82.95 %	#42
42.	99124	48.000431, -118.952286	Elmer City, Washington	148	82.69 %	#43
43.	99608	57.590376, -154.364949	Karluk, Alaska	27	81.81 %	#44
44.	99785	65.463773, -166.541486	Brevig Mission, Alaska	276	81.25 %	#45
45.	83121	41.810777, -110.538012	Frontier, Wyoming	21	80.00 %	#46
46.	87533	36.615960, -106.737979	Espanola, New Mexico	27	80.00 %	#47
47.	99751	66.946580, -156.857731	Kobuk, Alaska	109	79.31 %	#48
48.	32831	28.456132, -81.132092	Orlando, Florida	57	78.78 %	#49
49.	99040	47.876159, -117.990782	Wellpinit, Washington	930	78.26 %	#50
50.	57622	44.631558, -101.567094	Cherry Creek, South Dakota	396	78.12 %	#51
51.	89832	41.903461, -116.376100	Owyhee, Nevada	1,019	77.73 %	#52
52.	99671	63.514815, -162.203152	Stebbins, Alaska	547	77.63 %	#53
53.	92328	36.276880, -117.033326	Death Valley, California	442	77.37 %	#54
54.	99564	56.285594, -158.390216	Chignik, Alaska	79	77.14 %	#56
55.	99641	60.882748, -162.305490	Nunapitchuk, Alaska	466	77.03 %	#57
56.	99622	59.863441, -163.193487	Kwigillingok, Alaska	338	76.92 %	#58
57.	99784	64.605514, -163.600096	White Mountain, Alaska	203	76.92 %	#59
58.	99155	48.165055, -119.051363	Nespelem, Washington	1,281	76.69 %	#60
59.	31327	31.429329, -81.277136	Sapelo Island, Georgia	80	76.19 %	#61
60.	96742	21.170393, -156.947082	Kalaupapa, Hawaii	147	75.86 %	#62
61.	39762	33.453406, -88.791762	Mississippi State, Mississippi	856	75.20 %	#63
62.	99580	59.578432, -157.744052	Ekwok, Alaska	130	75.00 %	#64
63.	99781	67.015205, -146.371002	Venetie, Alaska	202	75.00 %	#65
64.	26631	38.811453, -80.568115	Napier, West Virginia	148	75.00 %	#66
65.	97134	45.461864, -123.968928	Oceanside, Oregon	44	75.00 %	#67
66.	99675	62.985067, -156.117354	Takotna, Alaska	50	75.00 %	#68
67.	99655	59.809897, -161.757595	Quinhagak, Alaska	557	74.60 %	#69
68.	79834	29.182528, -103.262412	Big Bend National Park, Texas	206	74.60 %	#70
69.	99791	70.480786, -157.325459	Atqasuk, Alaska	228	74.24 %	#71
70.	85942	34.805888, -109.944630	Woodruff, Arizona	143	74.15 %	#72
71.	95925	39.461768, -121.195825	Challenge, California	243	74.15 %	#73
72.	99782	70.643664, -159.924068	Wainwright, Alaska	546	74.01 %	#74
73.	22433	38.367057, -77.859386	Burr Hill, Virginia	105	73.68 %	#75
74.	99625	58.955510, -156.423124	Levelock, Alaska	123	73.52 %	#76
75.	83119	42.667859, -111.012401	Fairview, Wyoming	96	73.33 %	#77
76.	18349	41.099514, -75.368212	Pocono Manor, Pennsylvania	125	73.07 %	#78
77.	71434	31.465499, -92.948951	Gorum, Louisiana	110	72.72 %	#79
78.	99554	62.680084, -164.694328	Alakanuk, Alaska	652	72.66 %	#80
79.	99754	64.902278, -157.694303	Koyukuk, Alaska	101	72.50 %	#81
80.	96132	41.027281, -120.669427	Termo, California	61	72.22 %	#82
81.	87724	35.172012, -104.985299	La Loma, New Mexico	123	71.87 %	#83
82.	08064	39.963394, -74.639414	New Lisbon, New Jersey	197	71.79 %	#84
83.	86538	36.376115, -109.609660	Many Farms, Arizona	2,545	71.70 %	#85
84.	99614	59.940130, -164.067409	Kipnuk, Alaska	644	71.59 %	#86
85.	23304	36.992325, -76.570378	Battery Park, Virginia	126	71.27 %	#87
86.	99626	61.434933, -160.626429	Lower Kalskag, Alaska	267	70.58 %	#88
87.	99640	59.976744, -154.862035	Nondalton, Alaska	221	70.21 %	#89
88.	99609	60.864056, -162.537863	Kasigluk, Alaska	543	70.13 %	#90
89.	99549	57.099184, -158.270355	Port Heiden, Alaska	119	70.00 %	#91
90.	99681	60.607050, -165.128454	Tununak, Alaska	325	69.41 %	#92
91.	99747	70.118387, -143.687203	Kaktovik, Alaska	294	69.23 %	#93
92.	99739	64.654219, -162.368246	Elim, Alaska	313	69.23 %	#94
93.	99649	57.877466, -157.224689	Pilot Point, Alaska	111	69.23 %	#95
94.	99721	68.151791, -151.700070	Anaktuvuk Pass, Alaska	282	69.00 %	#96
95.	99665	62.646162, -159.527313	Shageluk, Alaska	129	68.88 %	#97
96.	99632	62.094448, -163.715339	Mountain Village, Alaska	755	68.88 %	#98
97.	78144	28.957538, -97.890389	Panna Maria, Texas	41	68.75 %	#99
98.	71656	33.590820, -91.812336	Monticello, Arkansas	121	68.75 %	#100
99.	71316	31.241848, -91.741404	Acme, Louisiana	47	68.42 %	#101
100.	99634	60.679414, -162.013227	Napakiak, Alaska	353	68.31 %	#102

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