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South Dakota Production, Transportation, and Material Moving Occupations Female Percentage Zip Code Rank

Based on ACS 2008-2012 data*

A total of 260 results found. Show Results on Map.

RankProduction, Transportation, and Material Moving Occupations Female Percentage ▼Zip / Population
1.100.0%57041 / 42
2.42.7%57340 / 351
3.32.1%57312 / 441
4.29.2%57520 / 131
5.26.7%57426 / 75
6.25.9%57002 / 959
7.23.3%57574 / 78
8.22.5%57481 / 532
9.22.3%57034 / 765
10.21.0%57248 / 1,388
11.20.5%57434 / 497
12.20.2%57076 / 383
13.20.0%57470 / 191
14.19.3%57038 / 1,813
15.19.2%57224 / 202
16.19.0%57441 / 762
17.18.8%57238 / 371
18.18.5%57026 / 1,377
19.18.3%57385 / 1,184
20.17.3%57566 / 1,423
21.17.2%57046 / 567
22.17.0%57799 / 559
23.16.7%57759 / 791
24.16.6%57212 / 1,837
25.16.5%57259 / 440
26.16.4%57321 / 414
26.16.4%57323 / 218
26.16.4%57263 / 479
29.16.3%57016 / 729
30.16.2%57648 / 257
31.16.2%57073 / 777
32.15.2%57278 / 795
33.15.2%57422 / 167
34.14.7%57226 / 2,316
35.14.4%57001 / 1,537
36.14.0%57042 / 8,609
37.13.8%57770 / 5,838
38.13.8%57329 / 492
39.13.6%57237 / 480
40.13.5%57314 / 742
41.13.4%57536 / 607
42.13.3%57371 / 162
43.13.1%57432 / 490
44.13.1%57104 / 26,806
45.12.8%57521 / 205
46.12.4%57430 / 2,376
47.12.4%57067 / 483
47.12.4%57249 / 997
49.12.4%57213 / 397
50.12.3%57071 / 2,821
51.12.1%57350 / 14,889
52.12.1%57427 / 687
53.12.0%57570 / 2,144
54.12.0%57231 / 1,631
55.11.8%57349 / 1,558
56.11.6%57657 / 287
57.11.6%57319 / 1,153
58.11.5%57217 / 269
58.11.5%57027 / 158
60.11.5%57201 / 24,701
61.11.3%57040 / 342
62.11.1%57386 / 103
63.11.1%57572 / 2,224
64.11.0%57047 / 276
65.10.7%57258 / 353
66.10.6%57245 / 132
67.10.5%57382 / 1,483
68.10.2%57311 / 1,502
69.10.2%57363 / 1,007
70.10.0%57328 / 1,094
71.10.0%57330 / 864
72.9.9%57580 / 4,356
73.9.9%57370 / 844
74.9.8%57242 / 289
75.9.8%57103 / 34,824
76.9.5%57235 / 1,027
77.9.3%57255 / 506
78.9.2%57334 / 879
79.9.1%57223 / 1,221
80.9.1%57107 / 8,129
81.9.0%57006 / 24,372
82.9.0%57078 / 18,699
83.9.0%57045 / 1,012
84.8.9%57068 / 1,354
85.8.7%57322 / 275
86.8.6%57472 / 975
87.8.5%57110 / 12,736
88.8.5%57048 / 1,134
89.8.5%57638 / 1,834
90.8.5%57374 / 242
91.8.3%57261 / 247
91.8.3%57029 / 1,887
91.8.3%57039 / 3,049
94.8.2%57018 / 1,462
95.8.2%57014 / 1,583
96.8.1%57355 / 1,115
97.8.0%57424 / 329
98.7.9%57467 / 283
99.7.9%57763 / 408
100.7.7%57642 / 1,894
100.7.7%57473 / 303
100.7.7%57460 / 297
103.7.4%57072 / 762
104.7.4%57017 / 1,591
105.7.3%57703 / 14,333
106.7.2%57366 / 2,406
107.7.2%57274 / 2,683
108.7.2%57701 / 43,530
109.7.1%57051 / 269
110.7.1%57037 / 1,137
111.7.0%57468 / 278
112.6.9%57632 / 657
112.6.9%57243 / 685
114.6.8%57276 / 1,254
115.6.8%57066 / 1,649
116.6.7%57450 / 654
117.6.7%57054 / 573
117.6.7%57233 / 175
119.6.6%57564 / 1,052
120.6.5%57369 / 2,200
121.6.5%57548 / 1,406
122.6.4%57717 / 7,453
123.6.4%57013 / 4,229
124.6.4%57032 / 6,607
125.6.4%57268 / 542
126.6.3%57401 / 30,103
127.6.3%57365 / 585
128.6.3%57050 / 254
129.6.2%57461 / 407
130.6.2%57428 / 774
131.6.1%57234 / 1,310
132.6.0%57313 / 1,134
133.6.0%57345 / 1,332
134.6.0%57335 / 278
135.5.9%57332 / 824
136.5.9%57057 / 152
136.5.9%57644 / 164
136.5.9%57020 / 1,474
139.5.7%57384 / 850
140.5.7%57030 / 3,514
141.5.7%57531 / 224
142.5.6%57063 / 994
142.5.6%57353 / 827
144.5.6%57301 / 18,109
145.5.5%57266 / 628
146.5.3%57055 / 1,034
147.5.3%57793 / 2,335
148.5.3%57062 / 2,287
149.5.2%57555 / 3,205
150.5.1%57004 / 3,473
151.5.0%57003 / 1,766
152.5.0%57375 / 633
153.5.0%57058 / 2,078
153.5.0%57269 / 383
155.4.9%57232 / 292
156.4.9%57454 / 622
157.4.9%57260 / 1,144
158.4.9%57769 / 3,353
159.4.9%57239 / 325
160.4.9%57633 / 558
161.4.8%57641 / 343
162.4.8%57262 / 5,208
163.4.8%57225 / 1,801
164.4.8%57358 / 78
165.4.8%57059 / 1,448
166.4.7%57730 / 5,981
167.4.7%57764 / 1,838
168.4.7%57435 / 222
169.4.6%57106 / 39,873
170.4.6%57105 / 21,220
171.4.6%57451 / 2,136
172.4.5%57053 / 1,771
173.4.3%57005 / 10,615
174.4.3%57368 / 1,208
175.4.2%57438 / 1,442
176.4.2%57543 / 940
176.4.2%57025 / 2,826
178.4.2%57718 / 6,357
179.4.1%57532 / 2,791
180.4.1%57762 / 438
181.4.0%57012 / 973
182.4.0%57028 / 3,235
182.4.0%57241 / 982
184.3.9%57785 / 9,420
185.3.9%57257 / 1,067
186.3.9%57031 / 740
187.3.9%57479 / 598
187.3.9%57075 / 855
189.3.8%57356 / 1,885
190.3.8%57631 / 350
191.3.7%57077 / 1,188
192.3.7%57024 / 484
193.3.6%57324 / 370
194.3.6%57436 / 481
195.3.6%57325 / 3,488
195.3.6%57069 / 11,905
197.3.5%57445 / 2,080
198.3.5%57033 / 5,168
199.3.5%57442 / 1,671
200.3.4%57568 / 622
201.3.4%57376 / 951
202.3.4%57064 / 5,108
203.3.2%57760 / 1,849
203.3.2%57279 / 1,029
205.3.2%57065 / 375
206.3.1%57735 / 1,627
207.3.0%57783 / 14,052
208.3.0%57469 / 3,291
209.2.9%57252 / 4,919
210.2.9%57620 / 432
211.2.9%57359 / 719
211.2.9%57273 / 1,152
211.2.9%57706 / 2,836
214.2.9%57626 / 966
214.2.9%57216 / 982
216.2.8%57471 / 770
216.2.8%57036 / 635
216.2.8%57362 / 2,062
219.2.7%57702 / 32,509
220.2.6%57745 / 2,051
220.2.6%57015 / 856
222.2.6%57070 / 1,521
223.2.6%57446 / 382
224.2.5%57656 / 688
225.2.4%57719 / 6,546
226.2.4%57049 / 5,751
227.2.3%57043 / 1,391
228.2.3%57339 / 1,410
229.2.2%57348 / 513
230.2.2%57218 / 305
230.2.2%57528 / 977
232.2.2%57752 / 2,044
233.2.2%57732 / 2,155
234.2.2%57744 / 1,552
235.2.0%57221 / 855
236.2.0%57625 / 4,287
237.1.9%57035 / 1,197
238.1.9%57601 / 3,928
239.1.9%57579 / 1,337
240.1.9%57220 / 948
241.1.8%57567 / 1,140
242.1.8%57523 / 1,189
243.1.8%57747 / 5,336
244.1.8%57522 / 442
245.1.6%57623 / 1,126
246.1.6%57380 / 3,510
246.1.6%57465 / 386
248.1.5%57108 / 17,090
249.1.3%57751 / 893
250.1.3%57383 / 796
251.1.1%57761 / 1,158
252.1.1%57315 / 1,006
253.0.9%57448 / 453
254.0.9%57381 / 516
255.0.8%57373 / 532
256.0.8%57533 / 1,864
257.0.7%57720 / 586
258.0.6%57790 / 1,160
259.0.6%57456 / 826
260.0.5%57501 / 16,205

Please note that we only rank locations with 'Production, Transportation, and Material Moving Occupations Female Percentage' data. The rank above might not be a complete list. Locations without 'Production, Transportation, and Material Moving Occupations Female Percentage' data are not listed.

*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.


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