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USA.com / Ranks / Ohio Farming, Fishing, and Forestry Occupations Female Percentage Zip Code Rank / Based on ACS 2010-2014 data

Ohio Farming, Fishing, and Forestry Occupations Female Percentage Zip Code Rank

Based on ACS 2010-2014 data

A total of 249 results found. Show Results on Map.

RankFarming, Fishing, and Forestry Occupations Female Percentage ▼Zip / Population
1.17.8%45884 / 212
2.17.1%45816 / 344
3.8.3%44082 / 1,271
4.6.5%45304 / 7,607
5.6.1%45333 / 1,196
6.6.0%44695 / 1,733
7.5.9%44865 / 3,750
8.5.6%44661 / 217
9.4.8%43840 / 1,123
10.4.7%45846 / 4,211
11.4.7%43930 / 796
12.4.6%44049 / 258
13.4.3%45849 / 1,393
14.4.3%44627 / 7,614
15.4.2%45382 / 1,400
16.3.9%45775 / 1,330
17.3.9%45348 / 836
18.3.8%43359 / 804
19.3.8%43973 / 2,075
20.3.8%43915 / 1,396
21.3.8%44669 / 1,269
22.3.7%45868 / 668
23.2.9%44887 / 1,239
24.2.8%44047 / 8,787
25.2.8%45871 / 1,779
26.2.7%43332 / 1,705
27.2.6%44450 / 2,305
27.2.6%45873 / 2,111
29.2.5%44402 / 3,054
30.2.5%45644 / 4,635
31.2.5%43549 / 1,459
32.2.4%43526 / 5,528
33.2.4%43718 / 3,546
33.2.4%44216 / 10,182
35.2.4%44656 / 3,090
36.2.4%43003 / 2,366
37.2.4%44214 / 1,947
38.2.3%43469 / 2,976
39.2.2%44890 / 11,384
40.2.2%44705 / 19,288
41.2.0%43338 / 10,173
42.2.0%44840 / 3,366
43.2.0%44276 / 1,869
43.2.0%44618 / 6,770
45.1.9%43080 / 5,831
46.1.9%45344 / 16,925
47.1.8%44609 / 4,352
48.1.8%44815 / 608
49.1.7%44645 / 2,471
50.1.7%43031 / 12,390
51.1.7%43318 / 5,173
52.1.7%43804 / 3,793
52.1.7%44288 / 3,525
54.1.7%43773 / 3,169
55.1.6%45310 / 216
56.1.6%45368 / 4,674
57.1.5%45672 / 1,052
58.1.4%45826 / 347
59.1.4%44864 / 3,517
59.1.4%43357 / 4,710
61.1.4%43356 / 976
61.1.4%44822 / 3,009
63.1.3%45769 / 6,671
64.1.3%44490 / 870
65.1.3%43060 / 2,486
66.1.2%44857 / 23,486
67.1.2%45363 / 1,824
68.1.2%45771 / 3,567
69.1.2%44024 / 23,498
70.1.2%43844 / 3,617
71.1.2%45851 / 631
72.1.1%44851 / 4,985
73.1.1%44624 / 5,554
74.1.1%44436 / 3,725
74.1.1%44666 / 3,093
76.1.0%44275 / 3,255
77.1.0%45856 / 5,132
78.1.0%44231 / 8,464
78.1.0%43771 / 1,611
80.1.0%45326 / 944
80.1.0%44017 / 19,116
82.1.0%43542 / 3,799
83.0.9%45648 / 12,321
84.0.9%45306 / 2,502
84.0.9%45303 / 2,085
86.0.9%44455 / 1,623
87.0.9%43344 / 5,420
88.0.9%44021 / 5,994
89.0.9%44062 / 15,630
89.0.9%44667 / 14,141
91.0.8%44827 / 6,917
91.0.8%44691 / 43,476
93.0.8%43739 / 2,254
94.0.8%44272 / 5,000
94.0.8%45865 / 4,863
94.0.8%43412 / 4,495
97.0.8%43223 / 24,615
98.0.8%44601 / 34,796
99.0.7%45219 / 18,214
99.0.7%45502 / 15,836
101.0.7%44818 / 2,289
102.0.7%43351 / 10,836
102.0.7%45883 / 4,037
104.0.7%44044 / 15,722
104.0.7%43064 / 13,425
106.0.7%45121 / 9,468
106.0.7%44833 / 16,997
108.0.7%45505 / 19,396
108.0.7%43019 / 9,722
108.0.7%45872 / 4,255
111.0.6%44641 / 20,204
112.0.6%44303 / 7,613
112.0.6%45403 / 15,298
114.0.6%43140 / 24,095
115.0.6%44612 / 5,541
116.0.6%45640 / 16,320
117.0.6%44090 / 11,254
118.0.5%43107 / 3,410
119.0.5%44805 / 32,347
119.0.5%45346 / 2,286
119.0.5%44460 / 26,417
122.0.5%43147 / 39,171
122.0.5%44041 / 14,724
122.0.5%45224 / 20,049
125.0.5%45323 / 5,439
126.0.5%43403 / 5,496
126.0.5%44141 / 13,768
126.0.5%43512 / 27,986
129.0.5%44830 / 18,525
129.0.5%43056 / 17,828
129.0.5%45309 / 12,599
132.0.5%44234 / 4,528
133.0.4%45177 / 21,950
133.0.4%45503 / 32,914
135.0.4%44089 / 15,646
135.0.4%43014 / 3,610
135.0.4%45867 / 1,073
138.0.4%45243 / 14,634
138.0.4%44055 / 20,841
140.0.4%44270 / 8,759
140.0.4%43920 / 23,270
140.0.4%43219 / 28,342
140.0.4%43569 / 3,072
144.0.4%45314 / 5,968
144.0.4%43311 / 19,089
146.0.4%43450 / 3,605
146.0.4%43231 / 19,510
146.0.4%44254 / 4,714
149.0.4%44333 / 18,516
149.0.4%44662 / 9,217
149.0.4%44028 / 8,269
152.0.4%45458 / 30,650
152.0.4%44875 / 13,668
154.0.4%45247 / 22,331
154.0.4%45362 / 1,384
154.0.4%45885 / 12,520
154.0.4%43202 / 21,005
158.0.3%43612 / 30,812
158.0.3%45869 / 4,593
160.0.3%43204 / 39,651
160.0.3%44432 / 13,499
162.0.3%43440 / 4,960
162.0.3%44423 / 2,881
162.0.3%45339 / 1,490
162.0.3%43402 / 32,798
166.0.3%43201 / 29,384
166.0.3%44654 / 20,135
166.0.3%44677 / 2,480
166.0.3%45414 / 20,995
166.0.3%45122 / 10,940
171.0.3%44676 / 4,820
171.0.3%44481 / 10,728
171.0.3%44306 / 22,554
174.0.3%43701 / 55,252
174.0.3%44814 / 2,855
174.0.3%43035 / 26,130
177.0.3%45331 / 22,289
177.0.3%44074 / 11,978
177.0.3%45875 / 11,293
180.0.3%43074 / 11,908
181.0.3%43558 / 13,053
182.0.3%45233 / 15,581
182.0.3%45449 / 18,361
184.0.2%44052 / 28,628
184.0.2%45248 / 25,230
184.0.2%43320 / 1,686
184.0.2%45409 / 15,627
188.0.2%44145 / 32,513
188.0.2%44030 / 16,518
188.0.2%43015 / 50,809
191.0.2%43055 / 60,157
191.0.2%43004 / 24,625
191.0.2%44106 / 26,837
191.0.2%44425 / 14,564
195.0.2%45011 / 68,750
195.0.2%45335 / 6,589
195.0.2%43228 / 53,346
195.0.2%44004 / 32,956
195.0.2%43431 / 4,538
200.0.2%43528 / 16,474
200.0.2%44820 / 17,829
202.0.2%45504 / 18,262
202.0.2%43506 / 14,540
202.0.2%45431 / 26,968
205.0.2%43065 / 40,626
205.0.2%44256 / 62,343
207.0.2%43560 / 32,342
207.0.2%45701 / 34,320
207.0.2%44811 / 12,732
207.0.2%45338 / 4,870
207.0.2%44035 / 63,607
207.0.2%44123 / 16,137
213.0.2%44128 / 29,269
213.0.2%43130 / 59,923
213.0.2%43213 / 31,989
216.0.2%45822 / 19,427
216.0.2%44483 / 25,646
216.0.2%43062 / 27,617
219.0.1%43310 / 3,331
220.0.1%44706 / 18,081
220.0.1%44221 / 29,567
222.0.1%44053 / 18,352
222.0.1%45429 / 25,352
224.0.1%45036 / 38,853
225.0.1%45215 / 30,578
225.0.1%44130 / 50,401
225.0.1%44070 / 32,668
225.0.1%45385 / 38,728
225.0.1%45895 / 18,333
230.0.1%45040 / 52,052
230.0.1%45244 / 29,177
232.0.1%45013 / 53,539
232.0.1%43613 / 32,306
232.0.1%44001 / 20,579
232.0.1%45601 / 56,910
236.0.1%44646 / 45,615
236.0.1%43609 / 22,811
236.0.1%44125 / 28,698
239.0.1%44077 / 56,347
239.0.1%45140 / 53,720
239.0.1%44870 / 41,125
242.0.1%45424 / 50,359
242.0.1%43235 / 41,492
242.0.1%45840 / 54,386
245.0.0%43081 / 57,036
246.0.0%44212 / 43,997
246.0.0%44107 / 51,670
248.0.0%44137 / 22,903
249.0.0%44060 / 60,627

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

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