Zip Codes with the Highest Percentage of Population in Labor Force in South Dakota

South Dakota Report:

Percentage of Population in Labor Force

Percentage of Population in Labor Force in the United States by Zip Code

Percentage of Population in Labor Force in the United States by City

#	Zip Code	Location	City	Population	% In Labor Force	National Rank
1.	57755	45.846200, -103.331974	Ludlow, South Dakota	153	88.17 %	#172
2.	57055	43.666850, -96.743898	Renner, South Dakota	1,062	86.63 %	#208
3.	57064	43.456944, -96.878265	Tea, South Dakota	2,691	86.60 %	#209
4.	57245	44.883607, -96.917056	Kranzburg, South Dakota	105	86.15 %	#224
5.	57706	44.151058, -103.092512	Ellsworth Afb, South Dakota	4,581	85.58 %	#244
6.	57787	44.604685, -102.813829	Union Center, South Dakota	209	85.57 %	#245
7.	57020	43.675327, -96.827906	Crooks, South Dakota	1,112	84.84 %	#270
8.	57110	43.545488, -96.642616	Sioux Falls, South Dakota	8,440	82.99 %	#354
9.	57779	44.573061, -103.776177	Saint Onge, South Dakota	160	82.72 %	#378
10.	57799	44.492703, -103.869922	Spearfish, South Dakota	18	82.14 %	#418
11.	57032	43.424192, -96.678132	Harrisburg, South Dakota	2,476	82.04 %	#428
12.	57532	44.332271, -100.555163	Fort Pierre, South Dakota	2,684	81.69 %	#454
13.	57426	45.725442, -98.504771	Barnard, South Dakota	88	81.35 %	#494
14.	57002	44.298575, -96.680382	Aurora, South Dakota	858	81.18 %	#518
15.	57106	43.507343, -96.839962	Sioux Falls, South Dakota	27,845	80.92 %	#542
16.	57041	43.724886, -96.861186	Lyons, South Dakota	102	80.72 %	#568
17.	57537	44.544939, -101.076340	Hayes, South Dakota	134	80.64 %	#588
18.	57005	43.592486, -96.590078	Brandon, South Dakota	7,058	80.20 %	#645
19.	57033	43.617972, -96.960938	Hartford, South Dakota	3,983	79.79 %	#713
20.	57479	45.308316, -98.443747	Warner, South Dakota	622	79.61 %	#751
21.	57057	44.102232, -96.959250	Rutland, South Dakota	148	78.64 %	#940
22.	57107	43.597620, -96.820415	Sioux Falls, South Dakota	5,044	78.46 %	#976
23.	57068	43.572833, -96.499455	Valley Springs, South Dakota	1,585	78.18 %	#1,040
24.	57071	44.272319, -96.962925	Volga, South Dakota	2,452	78.16 %	#1,043
25.	57703	44.031095, -103.079751	Rapid City, South Dakota	10,602	78.06 %	#1,065
26.	57534	43.613357, -99.705648	Hamill, South Dakota	180	77.95 %	#1,099
27.	57003	43.746313, -96.755327	Baltic, South Dakota	1,568	77.77 %	#1,150
28.	57365	43.859304, -99.400002	Oacoma, South Dakota	493	77.62 %	#1,189
29.	57243	44.906371, -97.425876	Henry, South Dakota	564	77.62 %	#1,194
30.	57016	43.899015, -96.958995	Chester, South Dakota	685	77.47 %	#1,237
31.	57769	44.270091, -103.377549	Piedmont, South Dakota	2,915	77.44 %	#1,249
32.	57574	43.106893, -101.364053	Tuthill, South Dakota	178	77.27 %	#1,309
33.	57324	44.295575, -98.054477	Cavour, South Dakota	429	77.17 %	#1,352
34.	57017	44.015255, -96.819123	Colman, South Dakota	1,372	77.01 %	#1,411
35.	57719	44.174679, -102.998152	Box Elder, South Dakota	4,091	76.77 %	#1,470
36.	57235	45.071967, -97.320432	Florence, South Dakota	813	76.77 %	#1,471
37.	57767	44.126914, -102.591012	Owanka, South Dakota	132	76.74 %	#1,479
38.	57103	43.537544, -96.692021	Sioux Falls, South Dakota	32,856	76.23 %	#1,675
39.	57562	43.955797, -100.983737	Okaton, South Dakota	50	76.19 %	#1,689
40.	57027	43.192125, -96.519558	Fairview, South Dakota	54	76.19 %	#1,693
41.	57718	44.167566, -103.366745	Black Hawk, South Dakota	4,925	76.12 %	#1,710
42.	57035	43.648147, -97.072051	Humboldt, South Dakota	1,056	75.94 %	#1,787
43.	57649	45.526333, -102.900156	Prairie City, South Dakota	232	75.82 %	#1,848
44.	57049	42.528455, -96.525279	North Sioux City, South Dakota	4,507	75.73 %	#1,881
45.	57006	44.308488, -96.796083	Brookings, South Dakota	21,095	74.95 %	#2,281
46.	57039	43.337838, -96.874855	Lennox, South Dakota	3,228	74.82 %	#2,351
47.	57775	44.101964, -102.028950	Quinn, South Dakota	283	74.71 %	#2,416
48.	57108	43.476066, -96.710176	Sioux Falls, South Dakota	6,298	74.71 %	#2,420
49.	57329	42.988775, -98.143820	Dante, South Dakota	270	74.51 %	#2,511
50.	57018	43.797893, -96.981006	Colton, South Dakota	1,398	74.43 %	#2,572
51.	57331	43.474415, -98.044848	Dimock, South Dakota	476	74.43 %	#2,576
52.	57024	43.991175, -96.681272	Egan, South Dakota	405	74.27 %	#2,679
53.	57010	42.830023, -96.816087	Burbank, South Dakota	471	74.08 %	#2,790
54.	57501	44.527597, -100.309041	Pierre, South Dakota	15,620	73.98 %	#2,863
55.	57061	44.247589, -97.040685	Sinai, South Dakota	139	73.68 %	#3,068
56.	57021	43.271392, -96.982572	Davis, South Dakota	295	73.68 %	#3,076
57.	57075	44.004375, -96.959014	Wentworth, South Dakota	771	73.67 %	#3,079
58.	57046	42.963725, -97.306152	Mission Hill, South Dakota	649	73.54 %	#3,151
59.	57386	44.521142, -97.996957	Yale, South Dakota	237	73.41 %	#3,249
60.	57201	44.936722, -97.092757	Watertown, South Dakota	23,610	73.13 %	#3,460
61.	57340	43.795764, -97.837547	Fulton, South Dakota	311	72.96 %	#3,591
62.	57529	43.265023, -99.581021	Dallas, South Dakota	577	72.94 %	#3,603
63.	57650	45.820761, -103.003917	Ralph, South Dakota	68	72.91 %	#3,625
64.	57449	45.737408, -98.176157	Houghton, South Dakota	206	72.45 %	#4,011
65.	57077	43.321853, -96.756407	Worthing, South Dakota	1,023	72.37 %	#4,090
66.	57030	43.735725, -96.543710	Garretson, South Dakota	2,656	72.17 %	#4,255
67.	57022	43.841527, -96.695677	Dell Rapids, South Dakota	4,268	71.99 %	#4,409
68.	57038	42.585156, -96.576625	Jefferson, South Dakota	1,132	71.71 %	#4,615
69.	57276	44.430861, -96.613455	White, South Dakota	1,203	71.67 %	#4,657
70.	57427	45.480547, -98.318576	Bath, South Dakota	518	71.57 %	#4,746
71.	57631	45.585360, -100.277920	Glenham, South Dakota	412	71.52 %	#4,800
72.	57363	43.691415, -98.255432	Mount Vernon, South Dakota	1,114	71.42 %	#4,886
73.	57358	44.078478, -98.427441	Lane, South Dakota	64	71.42 %	#4,887
74.	57569	43.835937, -99.535299	Reliance, South Dakota	493	71.42 %	#4,888
75.	57220	44.467055, -96.917466	Bruce, South Dakota	850	71.38 %	#4,939
76.	57559	43.890072, -100.742956	Murdo, South Dakota	856	71.30 %	#5,010
77.	57325	43.751933, -99.282627	Chamberlain, South Dakota	3,162	71.23 %	#5,073
78.	57241	44.676190, -97.230361	Hayti, South Dakota	880	71.11 %	#5,194
79.	57567	44.131146, -101.740430	Philip, South Dakota	1,570	70.83 %	#5,478
80.	57238	44.866616, -96.858066	Goodwin, South Dakota	522	70.79 %	#5,523
81.	57528	43.176347, -99.781019	Colome, South Dakota	865	70.42 %	#5,941
82.	57034	43.120164, -96.538284	Hudson, South Dakota	871	70.29 %	#6,086
83.	57401	45.482335, -98.532540	Aberdeen, South Dakota	28,925	70.25 %	#6,137
84.	57271	44.739380, -97.522039	Vienna, South Dakota	463	70.21 %	#6,177
85.	57013	43.278376, -96.617496	Canton, South Dakota	4,384	70.17 %	#6,215
86.	57773	43.623262, -103.615571	Pringle, South Dakota	192	70.08 %	#6,309
87.	57334	43.549822, -97.997122	Ethan, South Dakota	882	69.91 %	#6,470
88.	57026	44.258921, -96.540366	Elkton, South Dakota	1,323	69.89 %	#6,484
89.	57105	43.519421, -96.733117	Sioux Falls, South Dakota	24,644	69.82 %	#6,561
90.	57314	44.046091, -97.981288	Artesian, South Dakota	708	69.67 %	#6,726
91.	57421	45.755098, -97.927439	Amherst, South Dakota	106	69.66 %	#6,739
92.	57104	43.605113, -96.709356	Sioux Falls, South Dakota	26,014	69.64 %	#6,766
93.	57702	44.032012, -103.415359	Rapid City, South Dakota	29,375	69.61 %	#6,799
94.	57476	44.699046, -98.635640	Tulare, South Dakota	489	69.60 %	#6,808
95.	57048	43.753896, -97.193198	Montrose, South Dakota	987	69.54 %	#6,873
96.	57701	44.144646, -103.196457	Rapid City, South Dakota	39,772	69.43 %	#6,992
97.	57223	44.728778, -97.014630	Castlewood, South Dakota	1,450	69.43 %	#6,998
98.	57218	44.652379, -96.592103	Brandt, South Dakota	356	69.40 %	#7,038
99.	57246	45.042535, -96.671637	Labolt, South Dakota	222	69.23 %	#7,223
100.	57475	45.223553, -99.624634	Tolstoy, South Dakota	179	69.23 %	#7,224

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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