Zip Codes with the Highest Percentage of Population employed in Agriculture in South Dakota

South Dakota Report:

Percentage of Population employed in Agriculture

Percentage of Population employed in Agriculture in the United States by Zip Code

Percentage of Population employed in Agriculture in the United States by City

#	Zip Code	Location	City	Population	% In Agricultural	National Rank
1.	57650	45.820761, -103.003917	Ralph, South Dakota	68	80.00 %	#28
2.	57651	45.475472, -103.148843	Reva, South Dakota	150	76.71 %	#38
3.	57644	45.430009, -102.120481	Meadow, South Dakota	308	73.38 %	#52
4.	57537	44.544939, -101.076340	Hayes, South Dakota	134	72.00 %	#57
5.	57649	45.526333, -102.900156	Prairie City, South Dakota	232	71.42 %	#60
6.	57792	44.580625, -102.375981	White Owl, South Dakota	91	71.11 %	#61
7.	57755	45.846200, -103.331974	Ludlow, South Dakota	153	69.51 %	#67
8.	57758	44.980444, -102.784344	Mud Butte, South Dakota	146	64.58 %	#99
9.	57574	43.106893, -101.364053	Tuthill, South Dakota	178	64.00 %	#102
10.	57634	45.767769, -101.863399	Keldron, South Dakota	127	62.96 %	#108
11.	57724	45.616191, -103.925413	Camp Crook, South Dakota	218	61.73 %	#118
12.	57737	44.476477, -102.538899	Enning, South Dakota	49	58.33 %	#151
13.	57562	43.955797, -100.983737	Okaton, South Dakota	50	56.25 %	#172
14.	57467	44.829333, -99.186772	Orient, South Dakota	316	56.08 %	#173
15.	57477	45.033820, -98.144343	Turton, South Dakota	163	54.79 %	#189
16.	57432	45.682867, -98.031046	Claremont, South Dakota	516	54.58 %	#194
17.	57571	43.114752, -99.094968	Saint Charles, South Dakota	58	53.57 %	#213
18.	57322	44.639402, -97.971704	Carpenter, South Dakota	354	53.29 %	#220
19.	57534	43.613357, -99.705648	Hamill, South Dakota	180	52.63 %	#230
20.	57646	45.700393, -100.081293	Mound City, South Dakota	272	52.33 %	#237
21.	57466	45.223623, -99.481416	Onaka, South Dakota	182	52.12 %	#240
22.	57553	44.472682, -101.647601	Milesville, South Dakota	164	51.47 %	#247
23.	57256	45.236003, -97.202744	Ortley, South Dakota	98	51.35 %	#249
24.	57470	44.883901, -98.894286	Rockham, South Dakota	205	50.58 %	#264
25.	57552	44.233515, -101.202033	Midland, South Dakota	599	50.51 %	#266
26.	57585	43.557965, -100.384935	Wood, South Dakota	237	50.47 %	#267
27.	57371	44.437149, -99.221494	Ree Heights, South Dakota	337	50.00 %	#274
28.	57640	45.771142, -102.675696	Lodgepole, South Dakota	243	49.60 %	#287
29.	57576	43.944029, -100.269373	Vivian, South Dakota	216	49.18 %	#297
30.	57341	44.100320, -99.076514	Gann Valley, South Dakota	172	48.78 %	#306
31.	57540	44.461425, -99.607861	Holabird, South Dakota	132	48.68 %	#309
32.	57787	44.604685, -102.813829	Union Center, South Dakota	209	48.19 %	#317
33.	57449	45.737408, -98.176157	Houghton, South Dakota	206	48.14 %	#319
34.	57780	43.780909, -102.408282	Scenic, South Dakota	209	47.94 %	#322
35.	57457	45.877277, -99.154299	Longlake, South Dakota	125	47.61 %	#337
36.	57473	44.977039, -99.470999	Seneca, South Dakota	189	47.22 %	#347
37.	57271	44.739380, -97.522039	Vienna, South Dakota	463	47.11 %	#353
38.	57775	44.101964, -102.028950	Quinn, South Dakota	283	46.21 %	#367
39.	57529	43.265023, -99.581021	Dallas, South Dakota	577	45.48 %	#391
40.	57531	44.034291, -100.533009	Draper, South Dakota	257	45.00 %	#410
41.	57660	45.825204, -101.506137	Watauga, South Dakota	56	45.00 %	#411
42.	57452	45.558212, -99.883922	Java, South Dakota	375	44.66 %	#427
43.	57421	45.755098, -97.927439	Amherst, South Dakota	106	44.06 %	#444
44.	57422	45.435799, -97.929626	Andover, South Dakota	315	43.83 %	#448
45.	57342	43.256321, -98.700451	Geddes, South Dakota	647	43.51 %	#459
46.	57420	45.313510, -100.171670	Akaska, South Dakota	92	43.24 %	#468
47.	57440	44.842200, -98.253395	Frankfort, South Dakota	626	42.59 %	#480
48.	57645	45.801609, -101.658599	Morristown, South Dakota	181	41.66 %	#509
49.	57242	44.776621, -97.352097	Hazel, South Dakota	421	40.82 %	#552
50.	57584	43.548227, -100.105404	Witten, South Dakota	158	40.00 %	#579
51.	57331	43.474415, -98.044848	Dimock, South Dakota	476	39.16 %	#603
52.	57541	43.594002, -99.932051	Ideal, South Dakota	262	39.02 %	#610
53.	57456	45.758128, -99.020789	Leola, South Dakota	1,029	38.75 %	#628
54.	57521	43.896629, -101.273675	Belvidere, South Dakota	155	37.64 %	#677
55.	57657	45.528927, -100.870136	Trail City, South Dakota	172	37.50 %	#692
56.	57569	43.835937, -99.535299	Reliance, South Dakota	493	37.45 %	#693
57.	57348	44.625569, -98.372220	Hitchcock, South Dakota	601	37.31 %	#701
58.	57720	45.543325, -103.583841	Buffalo, South Dakota	654	37.23 %	#708
59.	57766	43.368907, -103.158827	Oral, South Dakota	301	37.08 %	#715
60.	57386	44.521142, -97.996957	Yale, South Dakota	237	37.06 %	#716
61.	57236	44.970814, -97.636916	Garden City, South Dakota	372	36.87 %	#728
62.	57329	42.988775, -98.143820	Dante, South Dakota	270	36.84 %	#734
63.	57455	45.018819, -99.681470	Lebanon, South Dakota	167	36.70 %	#740
64.	57476	44.699046, -98.635640	Tulare, South Dakota	489	36.36 %	#751
65.	57272	45.083412, -97.481118	Wallace, South Dakota	223	36.36 %	#754
66.	57475	45.223553, -99.624634	Tolstoy, South Dakota	179	36.36 %	#755
67.	57373	44.538356, -98.872431	Saint Lawrence, South Dakota	468	36.17 %	#762
68.	57760	44.945983, -103.267050	Newell, South Dakota	1,410	35.71 %	#785
69.	57344	43.463307, -98.634725	Harrison, South Dakota	186	35.48 %	#795
70.	57536	44.417429, -99.774218	Harrold, South Dakota	666	35.27 %	#806
71.	57763	43.160921, -103.187114	Oelrichs, South Dakota	309	35.25 %	#809
72.	57471	45.404536, -99.318265	Roscoe, South Dakota	699	35.07 %	#823
73.	57788	44.572683, -103.341238	Vale, South Dakota	533	34.31 %	#864
74.	57051	44.221016, -97.345821	Oldham, South Dakota	417	34.19 %	#871
75.	57317	43.109013, -98.991325	Bonesteel, South Dakota	667	33.67 %	#897
76.	57335	43.065138, -98.743973	Fairfax, South Dakota	314	33.61 %	#904
77.	57355	43.771295, -98.969640	Kimball, South Dakota	1,342	32.94 %	#948
78.	57725	43.932032, -102.791900	Caputa, South Dakota	150	32.83 %	#956
79.	57762	44.700513, -103.595363	Nisland, South Dakota	553	32.78 %	#959
80.	57641	45.834758, -101.292578	Mc Intosh, South Dakota	346	32.67 %	#968
81.	57465	45.150856, -98.688664	Northville, South Dakota	366	32.66 %	#969
82.	57568	43.823717, -100.099266	Presho, South Dakota	816	32.20 %	#994
83.	57468	45.497986, -97.763412	Pierpont, South Dakota	275	32.17 %	#997
84.	57481	45.641682, -98.660744	Westport, South Dakota	663	31.73 %	#1,042
85.	57560	43.496372, -101.165596	Norris, South Dakota	458	31.49 %	#1,058
86.	57436	44.842006, -98.078703	Doland, South Dakota	736	31.29 %	#1,072
87.	57767	44.126914, -102.591012	Owanka, South Dakota	132	31.25 %	#1,075
88.	57270	45.841246, -97.356750	Veblen, South Dakota	601	31.00 %	#1,095
89.	57314	44.046091, -97.981288	Artesian, South Dakota	708	30.79 %	#1,117
90.	57238	44.866616, -96.858066	Goodwin, South Dakota	522	30.74 %	#1,124
91.	57269	45.229711, -96.794173	Twin Brooks, South Dakota	412	30.72 %	#1,126
92.	57633	45.440315, -101.514796	Isabel, South Dakota	585	30.66 %	#1,132
93.	57773	43.623262, -103.615571	Pringle, South Dakota	192	30.49 %	#1,144
94.	57337	44.002080, -97.781101	Fedora, South Dakota	188	30.48 %	#1,145
95.	57265	44.992209, -96.781557	Strandburg, South Dakota	267	30.00 %	#1,178
96.	57748	44.602999, -101.997703	Howes, South Dakota	345	29.70 %	#1,203
97.	57340	43.795764, -97.837547	Fulton, South Dakota	311	29.69 %	#1,204
98.	57330	43.257308, -98.157816	Delmont, South Dakota	735	29.13 %	#1,262
99.	57353	44.376815, -97.839664	Iroquois, South Dakota	902	28.90 %	#1,285
100.	57438	45.065476, -99.153564	Faulkton, South Dakota	1,663	28.75 %	#1,301

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