Zip Codes with the Highest Unemployment Rate in the United States

United States Report:

Unemployment Rate

#	Zip Code	Location	City	Population	% Unemployment Rate	National Rank
1.	21031	39.488697, -76.657346	Hunt Valley, Maryland	59	100.00 %	#1
2.	23001	37.292591, -76.408678	Achilles, Virginia	28	100.00 %	#2
3.	29202	34.023588, -81.028462	Columbia, South Carolina	227	100.00 %	#4
4.	95232	38.358464, -120.579304	Glencoe, California	17	100.00 %	#5
5.	15347	40.214274, -80.228805	Meadow Lands, Pennsylvania	62	100.00 %	#6
6.	60604	41.878266, -87.626150	Chicago, Illinois	78	100.00 %	#7
7.	33620	28.062135, -82.413571	Tampa, Florida	2,532	96.85 %	#8
8.	99553	54.143830, -165.818818	Akutan, Alaska	713	83.88 %	#9
9.	23186	37.271517, -76.717374	Williamsburg, Virginia	3,307	83.28 %	#10
10.	85926	34.044200, -109.877728	Fort Apache, Arizona	111	83.01 %	#11
11.	40849	36.880342, -83.134079	Lejunior, Kentucky	118	81.81 %	#12
12.	16155	41.068219, -80.510814	Villa Maria, Pennsylvania	124	79.77 %	#13
13.	30313	33.764661, -84.397547	Atlanta, Georgia	11,035	76.15 %	#14
14.	14614	43.157055, -77.615197	Rochester, New York	926	75.47 %	#15
15.	76798	31.547131, -97.120333	Waco, Texas	3,123	75.00 %	#16
16.	27506	35.407248, -78.739048	Buies Creek, North Carolina	1,938	73.17 %	#17
17.	12970	44.452573, -74.290050	Paul Smiths, New York	1,450	67.58 %	#18
18.	29688	35.069047, -82.371520	Tigerville, South Carolina	699	66.96 %	#19
19.	28109	35.489033, -80.294068	Misenheimer, North Carolina	460	66.89 %	#20
20.	96119	41.042003, -120.506086	Madeline, California	70	66.66 %	#21
21.	30602	33.948819, -83.374636	Athens, Georgia	1,400	66.60 %	#22
22.	90822	33.778436, -118.118648	Long Beach, California	422	66.27 %	#23
23.	77553	29.328800, -94.796543	Galveston, Texas	614	65.82 %	#24
24.	25855	37.942806, -81.151143	Hilltop, West Virginia	38	64.28 %	#25
25.	95424	38.970739, -122.663820	Clearlake Park, California	91	64.28 %	#26
26.	41729	37.265606, -83.212055	Combs, Kentucky	170	63.63 %	#27
27.	20006	38.897813, -77.042080	Washington, District Of Columbia	1,874	63.41 %	#28
28.	87750	35.805440, -104.852008	Valmora, New Mexico	79	63.33 %	#29
29.	77341	30.714339, -95.549909	Huntsville, Texas	1,310	62.21 %	#30
30.	21627	38.175538, -76.047801	Crocheron, Maryland	34	61.53 %	#31
31.	35203	33.518835, -86.809798	Birmingham, Alabama	3,717	61.39 %	#32
32.	77446	30.086888, -95.987941	Prairie View, Texas	3,927	61.19 %	#33
33.	18503	41.411475, -75.667131	Scranton, Pennsylvania	1,165	61.09 %	#34
34.	88254	32.651410, -104.471977	Lakewood, New Mexico	225	60.46 %	#35
35.	28757	35.654862, -82.291634	Montreat, North Carolina	448	59.74 %	#36
36.	39762	33.453406, -88.791762	Mississippi State, Mississippi	856	59.48 %	#37
37.	32970	27.750398, -80.449289	Wabasso, Florida	115	59.09 %	#38
38.	98134	47.577676, -122.335954	Seattle, Washington	636	58.92 %	#39
39.	88323	33.490906, -105.535253	Fort Stanton, New Mexico	41	58.33 %	#40
40.	45713	39.415465, -81.834173	Bartlett, Ohio	130	57.89 %	#41
41.	65457	37.782592, -92.078264	Devils Elbow, Missouri	163	57.89 %	#42
42.	88003	32.277763, -106.746824	Las Cruces, New Mexico	1,614	57.20 %	#43
43.	99776	63.376213, -143.357007	Tanacross, Alaska	140	57.14 %	#44
44.	24843	37.477155, -81.693534	Hensley, West Virginia	58	57.14 %	#45
45.	11430	40.650916, -73.788526	Jamaica, New York	229	57.03 %	#46
46.	54841	45.616237, -91.777697	Haugen, Wisconsin	25	55.55 %	#47
47.	96108	41.750354, -120.403885	Davis Creek, California	91	55.17 %	#48
48.	95387	37.546007, -121.282570	Westley, California	897	53.64 %	#49
49.	99950	55.877201, -131.452227	Ketchikan, Alaska	36	53.57 %	#50
50.	86540	35.938864, -109.423045	Nazlini, Arizona	679	53.38 %	#51
51.	36470	31.529297, -87.567505	Perdue Hill, Alabama	240	53.33 %	#52
52.	95655	38.549822, -121.266725	Mather, California	914	52.91 %	#53
53.	02163	42.366168, -71.122850	Boston, Massachusetts	1,191	52.73 %	#54
54.	62523	39.843835, -88.952387	Decatur, Illinois	879	52.35 %	#55
55.	27584	36.528896, -78.444524	Townsville, North Carolina	146	51.66 %	#56
56.	57547	43.483939, -101.458224	Long Valley, South Dakota	161	51.51 %	#57
57.	98821	47.536587, -120.552085	Dryden, Washington	243	50.88 %	#58
58.	59061	45.402100, -109.910209	Nye, Montana	305	50.58 %	#59
59.	90013	34.044639, -118.240413	Los Angeles, California	9,727	50.19 %	#60
60.	93447	35.666506, -120.645457	Paso Robles, California	794	50.00 %	#61
61.	23407	37.841163, -75.539089	Mappsville, Virginia	155	50.00 %	#62
62.	83874	47.643335, -115.804016	Murray, Idaho	59	50.00 %	#63
63.	72369	34.456477, -90.770419	Oneida, Arkansas	61	50.00 %	#64
64.	71656	33.590820, -91.812336	Monticello, Arkansas	121	50.00 %	#65
65.	99850	58.414534, -135.345832	Juneau, Alaska	10	50.00 %	#66
66.	74103	36.156061, -95.994826	Tulsa, Oklahoma	2,173	49.92 %	#67
67.	37228	36.196291, -86.803583	Nashville, Tennessee	331	49.29 %	#68
68.	63102	38.651211, -90.185906	Saint Louis, Missouri	1,311	49.11 %	#69
69.	19345	40.029459, -75.565301	Immaculata, Pennsylvania	581	49.00 %	#70
70.	24712	37.481579, -81.021866	Athens, West Virginia	2,237	48.97 %	#71
71.	19550	40.454018, -76.241270	Rehrersburg, Pennsylvania	675	48.90 %	#72
72.	12742	41.724328, -74.723518	Harris, New York	132	48.33 %	#73
73.	23943	37.244067, -78.476032	Hampden Sydney, Virginia	1,080	47.79 %	#74
74.	40510	38.071200, -84.583839	Lexington, Kentucky	1,236	47.48 %	#75
75.	95981	39.584580, -121.093256	Strawberry Valley, California	98	47.45 %	#76
76.	72340	34.926294, -91.026284	Goodwin, Arkansas	115	47.36 %	#77
77.	99779	63.166508, -142.554527	Tok, Alaska	117	46.87 %	#78
78.	57756	43.245005, -102.488568	Manderson, South Dakota	1,000	46.85 %	#79
79.	57794	43.113063, -102.346476	Wounded Knee, South Dakota	538	46.66 %	#80
80.	99923	55.983313, -130.041842	Hyder, Alaska	97	46.66 %	#81
81.	40334	38.024390, -83.741136	Hope, Kentucky	152	46.42 %	#82
82.	39079	32.935310, -89.890210	Goodman, Mississippi	1,929	46.30 %	#83
83.	28223	35.301946, -80.734737	Charlotte, North Carolina	3,265	46.27 %	#84
84.	26544	39.713538, -80.172697	Pentress, West Virginia	200	46.15 %	#85
85.	63738	37.089840, -89.957230	Brownwood, Missouri	74	46.15 %	#86
86.	24855	37.409498, -81.425190	Kyle, West Virginia	62	46.15 %	#87
87.	84085	40.560480, -109.919778	Whiterocks, Utah	526	46.10 %	#88
88.	57577	43.580378, -101.671025	Wanblee, South Dakota	1,051	45.85 %	#89
89.	59915	47.821155, -114.429740	Elmo, Montana	172	45.76 %	#90
90.	86507	36.448428, -109.299342	Lukachukai, Arizona	2,114	45.72 %	#91
91.	98174	47.604569, -122.335359	Seattle, Washington	180	45.71 %	#92
92.	99513	61.214772, -149.885658	Anchorage, Alaska	268	45.34 %	#93
93.	97204	45.518775, -122.675276	Portland, Oregon	1,319	45.25 %	#94
94.	25685	37.775006, -82.332643	Naugatuck, West Virginia	138	45.16 %	#95
95.	85639	31.772535, -111.753365	Topawa, Arizona	422	45.16 %	#96
96.	29062	34.008449, -80.559483	Horatio, South Carolina	93	44.44 %	#97
97.	75247	32.813447, -96.879784	Dallas, Texas	254	44.44 %	#98
98.	41367	37.384660, -83.256774	Rowdy, Kentucky	319	44.11 %	#99
99.	46377	41.193490, -87.346685	Shelby, Indiana	372	44.06 %	#100
100.	62065	39.245929, -90.636916	Michael, Illinois	114	43.75 %	#101

1-100 out of 31,706 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