Zip Codes with the Highest Percentage of Population Not in Labor Force in South Dakota

South Dakota Report:

Percentage of Population Not in Labor Force

Percentage of Population Not in Labor Force in the United States by Zip Code

Percentage of Population Not in Labor Force in the United States by City

#	Zip Code	Location	City	Population	% Not in Labor Force	National Rank
1.	57622	44.631558, -101.567094	Cherry Creek, South Dakota	396	77.55 %	#186
2.	57547	43.483939, -101.458224	Long Valley, South Dakota	161	72.26 %	#301
3.	57339	44.102176, -99.417293	Fort Thompson, South Dakota	1,544	64.17 %	#711
4.	57756	43.245005, -102.488568	Manderson, South Dakota	1,000	63.88 %	#730
5.	57062	42.846456, -97.971838	Springfield, South Dakota	2,063	62.30 %	#873
6.	57217	45.072481, -97.677502	Bradley, South Dakota	300	61.66 %	#954
7.	57657	45.528927, -100.870136	Trail City, South Dakota	172	59.81 %	#1,173
8.	57621	45.768972, -101.046479	Bullhead, South Dakota	376	59.00 %	#1,288
9.	57541	43.594002, -99.932051	Ideal, South Dakota	262	58.87 %	#1,295
10.	57759	44.211441, -103.577004	Nemo, South Dakota	508	58.00 %	#1,422
11.	57645	45.801609, -101.658599	Morristown, South Dakota	181	56.33 %	#1,691
12.	57457	45.877277, -99.154299	Longlake, South Dakota	125	55.78 %	#1,809
13.	57794	43.113063, -102.346476	Wounded Knee, South Dakota	538	55.44 %	#1,865
14.	57714	43.315865, -101.932574	Allen, South Dakota	763	53.69 %	#2,239
15.	57272	45.083412, -97.481118	Wallace, South Dakota	223	53.04 %	#2,421
16.	57652	45.105512, -100.542407	Ridgeview, South Dakota	446	53.00 %	#2,442
17.	57566	43.310208, -101.094783	Parmelee, South Dakota	1,118	52.86 %	#2,483
18.	57752	43.450337, -102.218091	Kyle, South Dakota	2,214	51.37 %	#2,975
19.	57660	45.825204, -101.506137	Watauga, South Dakota	56	51.21 %	#3,052
20.	57273	45.330322, -97.265844	Waubay, South Dakota	1,343	50.52 %	#3,309
21.	57642	45.794523, -100.746721	Mc Laughlin, South Dakota	2,189	50.27 %	#3,388
22.	57364	43.434336, -98.617566	New Holland, South Dakota	68	50.00 %	#3,504
23.	57764	43.257871, -102.771129	Oglala, South Dakota	1,720	50.00 %	#3,505
24.	57716	43.124273, -102.189729	Batesland, South Dakota	486	49.65 %	#3,677
25.	57383	43.708571, -98.704103	White Lake, South Dakota	831	49.20 %	#3,904
26.	57356	43.145225, -98.513188	Lake Andes, South Dakota	1,970	49.03 %	#3,986
27.	57661	45.200336, -100.853917	Whitehorse, South Dakota	209	48.97 %	#4,020
28.	57577	43.580378, -101.671025	Wanblee, South Dakota	1,051	48.77 %	#4,142
29.	57758	44.980444, -102.784344	Mud Butte, South Dakota	146	48.38 %	#4,366
30.	57420	45.313510, -100.171670	Akaska, South Dakota	92	48.14 %	#4,505
31.	57520	44.845528, -100.111996	Agar, South Dakota	169	48.12 %	#4,514
32.	57748	44.602999, -101.997703	Howes, South Dakota	345	47.76 %	#4,732
33.	57456	45.758128, -99.020789	Leola, South Dakota	1,029	47.69 %	#4,776
34.	57469	44.872541, -98.594758	Redfield, South Dakota	3,801	47.62 %	#4,806
35.	57051	44.221016, -97.345821	Oldham, South Dakota	417	47.41 %	#4,927
36.	57473	44.977039, -99.470999	Seneca, South Dakota	189	47.29 %	#4,999
37.	57221	44.591017, -97.460423	Bryant, South Dakota	776	47.23 %	#5,034
38.	57219	45.279086, -97.812717	Bristol, South Dakota	648	47.19 %	#5,055
39.	57448	45.600071, -99.417448	Hosmer, South Dakota	437	47.15 %	#5,074
40.	57376	43.219852, -97.944894	Tripp, South Dakota	1,222	46.95 %	#5,209
41.	57437	45.789053, -99.624988	Eureka, South Dakota	1,726	46.93 %	#5,231
42.	57261	45.536336, -97.519963	Roslyn, South Dakota	421	46.73 %	#5,347
43.	57772	43.362788, -102.409902	Porcupine, South Dakota	1,444	46.73 %	#5,348
44.	57633	45.440315, -101.514796	Isabel, South Dakota	585	45.87 %	#5,953
45.	57059	43.119205, -97.764306	Scotland, South Dakota	1,653	45.86 %	#5,956
46.	57553	44.472682, -101.647601	Milesville, South Dakota	164	45.60 %	#6,164
47.	57234	44.610285, -96.894291	Estelline, South Dakota	1,250	45.38 %	#6,341
48.	57317	43.109013, -98.991325	Bonesteel, South Dakota	667	45.33 %	#6,377
49.	57257	45.449068, -97.042891	Peever, South Dakota	897	45.25 %	#6,448
50.	57428	45.441277, -99.677926	Bowdle, South Dakota	813	45.19 %	#6,502
51.	57560	43.496372, -101.165596	Norris, South Dakota	458	45.12 %	#6,562
52.	57260	45.841794, -96.698794	Rosholt, South Dakota	962	45.05 %	#6,625
53.	57636	45.057331, -101.416441	Lantry, South Dakota	249	45.05 %	#6,626
54.	57337	44.002080, -97.781101	Fedora, South Dakota	188	44.96 %	#6,701
55.	57239	45.509211, -97.299294	Grenville, South Dakota	257	44.92 %	#6,732
56.	57584	43.548227, -100.105404	Witten, South Dakota	158	44.91 %	#6,740
57.	57735	43.417609, -103.898888	Edgemont, South Dakota	1,432	44.85 %	#6,791
58.	57232	45.632116, -97.361782	Eden, South Dakota	415	44.78 %	#6,859
59.	57452	45.558212, -99.883922	Java, South Dakota	375	44.76 %	#6,884
60.	57646	45.700393, -100.081293	Mound City, South Dakota	272	44.66 %	#6,953
61.	57258	44.898261, -97.933694	Raymond, South Dakota	216	44.31 %	#7,238
62.	57770	43.067443, -102.579397	Pine Ridge, South Dakota	5,049	44.26 %	#7,282
63.	57658	45.696435, -100.514078	Wakpala, South Dakota	458	44.14 %	#7,398
64.	57045	43.205008, -97.528384	Menno, South Dakota	1,138	44.00 %	#7,521
65.	57319	43.546290, -97.473492	Bridgewater, South Dakota	1,261	43.88 %	#7,618
66.	57076	43.980770, -97.357530	Winfred, South Dakota	494	43.80 %	#7,697
67.	57730	43.772306, -103.735316	Custer, South Dakota	4,993	43.80 %	#7,699
68.	57382	44.059026, -98.659699	Wessington Springs, South Dakota	1,719	43.71 %	#7,782
69.	57472	45.456577, -100.069124	Selby, South Dakota	1,086	43.63 %	#7,855
70.	57438	45.065476, -99.153564	Faulkton, South Dakota	1,663	43.50 %	#7,997
71.	57763	43.160921, -103.187114	Oelrichs, South Dakota	309	43.47 %	#8,031
72.	57330	43.257308, -98.157816	Delmont, South Dakota	735	43.43 %	#8,070
73.	57780	43.780909, -102.408282	Scenic, South Dakota	209	43.41 %	#8,087
74.	57747	43.312831, -103.512001	Hot Springs, South Dakota	5,785	43.35 %	#8,150
75.	57477	45.033820, -98.144343	Turton, South Dakota	163	43.18 %	#8,333
76.	57572	43.082113, -100.974338	Saint Francis, South Dakota	1,927	43.02 %	#8,479
77.	57737	44.476477, -102.538899	Enning, South Dakota	49	42.85 %	#8,660
78.	57214	44.480747, -97.207006	Badger, South Dakota	156	42.85 %	#8,667
79.	57268	44.567787, -96.694974	Toronto, South Dakota	444	42.63 %	#8,895
80.	57750	43.593407, -101.992111	Interior, South Dakota	321	42.48 %	#9,054
81.	57247	45.724003, -97.459472	Lake City, South Dakota	296	42.42 %	#9,119
82.	57442	45.038844, -100.098257	Gettysburg, South Dakota	1,703	42.35 %	#9,213
83.	57634	45.767769, -101.863399	Keldron, South Dakota	127	42.26 %	#9,297
84.	57430	45.812693, -97.719580	Britton, South Dakota	2,375	42.23 %	#9,321
85.	57052	43.292356, -97.707966	Olivet, South Dakota	427	42.19 %	#9,377
86.	57335	43.065138, -98.743973	Fairfax, South Dakota	314	42.18 %	#9,387
87.	57451	45.436169, -99.010108	Ipswich, South Dakota	1,555	42.05 %	#9,496
88.	57648	45.882814, -100.281026	Pollock, South Dakota	428	41.98 %	#9,572
89.	57644	45.430009, -102.120481	Meadow, South Dakota	308	41.66 %	#9,926
90.	57536	44.417429, -99.774218	Harrold, South Dakota	666	41.55 %	#10,042
91.	57623	45.077422, -101.658820	Dupree, South Dakota	910	41.36 %	#10,244
92.	57455	45.018819, -99.681470	Lebanon, South Dakota	167	41.30 %	#10,311
93.	57551	43.184826, -101.676426	Martin, South Dakota	2,414	41.28 %	#10,337
94.	57353	44.376815, -97.839664	Iroquois, South Dakota	902	41.21 %	#10,405
95.	57323	44.157769, -97.715184	Carthage, South Dakota	333	41.02 %	#10,635
96.	57328	43.437622, -98.439006	Corsica, South Dakota	1,302	41.01 %	#10,652
97.	57379	44.254665, -98.557176	Virgil, South Dakota	106	40.84 %	#10,850
98.	57380	43.029839, -98.277198	Wagner, South Dakota	3,360	40.84 %	#10,851
99.	57270	45.841246, -97.356750	Veblen, South Dakota	601	40.81 %	#10,885
100.	57533	43.255736, -99.405693	Gregory, South Dakota	1,994	40.61 %	#11,092

1-100 out of 363 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