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

Based on ACS 2008-2012 data*

A total of 254 results found. Show Results on Map.

RankFarming, Fishing, and Forestry Occupations Female Percentage ▼Zip / Population
1.24.1%43407 / 784
2.11.7%45816 / 343
3.11.3%45348 / 763
4.9.9%45868 / 533
5.8.8%45333 / 1,176
6.8.0%44082 / 1,365
7.7.7%44865 / 3,546
8.6.6%43002 / 1,904
9.6.5%44840 / 3,481
10.5.7%44822 / 3,153
11.5.6%45621 / 339
12.5.5%44627 / 7,430
13.5.4%45846 / 4,295
14.5.3%43456 / 511
15.5.2%44064 / 1,863
16.5.2%45382 / 1,429
17.4.3%44669 / 1,315
18.4.3%43066 / 1,390
19.4.3%45351 / 220
20.4.1%43915 / 1,585
21.4.1%43359 / 797
22.4.0%43840 / 1,220
23.4.0%44214 / 2,019
24.4.0%44402 / 3,166
25.3.9%45672 / 1,619
26.3.8%45362 / 1,145
27.3.7%43033 / 359
28.3.4%43527 / 2,343
29.3.3%43115 / 1,614
30.3.3%44874 / 413
31.3.3%44065 / 4,487
32.3.2%45775 / 1,353
33.3.1%43973 / 2,263
34.2.9%45648 / 12,817
35.2.8%45644 / 4,263
36.2.6%45860 / 2,197
37.2.6%45849 / 1,150
38.2.5%45359 / 1,947
39.2.4%44047 / 9,319
40.2.4%44656 / 2,958
41.2.3%44450 / 2,631
42.2.3%43318 / 4,317
43.2.2%45873 / 2,200
44.2.2%44216 / 9,674
45.2.2%45344 / 17,123
46.2.1%44836 / 2,588
47.2.1%44851 / 5,345
48.2.1%45820 / 417
49.2.1%44890 / 11,255
50.2.0%43844 / 3,827
51.2.0%45865 / 4,800
52.2.0%45771 / 3,381
53.1.9%44275 / 3,109
54.1.9%45814 / 2,656
55.1.8%43003 / 2,681
56.1.8%45363 / 1,665
57.1.7%43773 / 3,161
58.1.7%43549 / 1,734
58.1.7%45310 / 213
60.1.7%44817 / 1,778
61.1.6%43338 / 10,694
62.1.6%44451 / 2,925
62.1.6%45856 / 5,070
64.1.5%44272 / 5,048
65.1.4%45167 / 3,453
66.1.4%44217 / 4,041
67.1.4%44677 / 2,438
68.1.4%43102 / 4,470
69.1.3%44902 / 5,550
70.1.3%45826 / 309
71.1.3%45628 / 4,587
71.1.3%43031 / 12,114
73.1.2%44864 / 3,498
74.1.2%44044 / 15,790
75.1.2%45872 / 4,269
76.1.2%43420 / 30,927
76.1.2%44049 / 310
78.1.1%44021 / 5,959
79.1.1%44314 / 18,805
80.1.1%44618 / 6,986
81.1.1%44681 / 7,830
82.1.1%43056 / 16,898
83.1.1%44090 / 11,405
84.1.0%44062 / 15,353
85.1.0%44303 / 7,354
86.1.0%43019 / 8,908
87.1.0%45304 / 7,591
88.0.9%44055 / 19,498
89.0.9%44288 / 4,043
90.0.9%45240 / 27,450
90.0.9%43022 / 4,174
92.0.8%43771 / 1,940
93.0.8%44612 / 5,295
94.0.8%44609 / 4,022
94.0.8%44103 / 18,745
96.0.8%45122 / 11,644
97.0.8%44827 / 7,279
98.0.7%45871 / 1,799
98.0.7%45339 / 1,291
98.0.7%45369 / 3,677
101.0.7%44667 / 14,082
102.0.7%44645 / 2,395
102.0.7%44691 / 43,057
102.0.7%43412 / 4,302
105.0.7%43140 / 24,185
105.0.7%44231 / 8,616
107.0.7%44903 / 25,156
108.0.7%44408 / 10,261
108.0.7%43223 / 26,567
108.0.7%43403 / 5,916
111.0.7%43906 / 8,553
111.0.7%43080 / 6,105
111.0.7%43542 / 4,194
114.0.7%45503 / 33,728
115.0.6%44662 / 9,311
115.0.6%45505 / 19,338
117.0.6%44641 / 20,320
117.0.6%44121 / 33,556
119.0.6%44254 / 4,782
120.0.6%43449 / 8,800
121.0.6%44221 / 29,858
121.0.6%43107 / 3,135
123.0.6%45403 / 14,789
123.0.6%45224 / 20,129
125.0.5%45121 / 9,193
126.0.5%45219 / 16,648
126.0.5%44654 / 19,339
126.0.5%45502 / 15,961
129.0.5%44024 / 23,503
129.0.5%43739 / 2,159
131.0.5%44857 / 23,583
132.0.5%45133 / 22,966
132.0.5%45690 / 14,499
132.0.5%45368 / 4,620
135.0.5%44089 / 15,979
135.0.5%45309 / 12,302
137.0.5%45701 / 33,528
137.0.5%44460 / 26,796
137.0.5%43351 / 10,374
140.0.4%45616 / 1,399
140.0.4%43450 / 3,950
140.0.4%45314 / 5,977
140.0.4%43569 / 2,925
140.0.4%43357 / 4,764
145.0.4%43502 / 6,834
145.0.4%43920 / 23,416
147.0.4%43202 / 19,712
148.0.4%44632 / 10,166
149.0.4%43537 / 26,599
150.0.4%44432 / 13,169
150.0.4%44241 / 16,029
150.0.4%44141 / 13,843
153.0.4%43522 / 3,082
153.0.4%43311 / 19,369
155.0.4%44028 / 8,126
155.0.4%45601 / 57,082
155.0.4%45885 / 12,773
158.0.4%44052 / 30,891
158.0.4%43512 / 28,837
158.0.4%43623 / 20,263
161.0.3%43558 / 13,374
162.0.3%45458 / 29,801
163.0.3%44875 / 13,911
163.0.3%45640 / 16,959
165.0.3%44074 / 11,882
165.0.3%44270 / 9,134
167.0.3%44820 / 18,081
167.0.3%45840 / 54,696
169.0.3%44030 / 16,785
169.0.3%43147 / 38,861
171.0.3%43201 / 30,186
171.0.3%44234 / 3,986
173.0.3%43515 / 8,280
173.0.3%45822 / 19,392
175.0.3%45011 / 68,127
175.0.3%45371 / 18,848
175.0.3%45869 / 4,526
175.0.3%44425 / 14,680
175.0.3%43332 / 2,049
175.0.3%44057 / 19,902
175.0.3%45230 / 27,810
175.0.3%43532 / 4,124
175.0.3%43605 / 28,801
184.0.3%45338 / 5,201
184.0.3%44138 / 21,909
184.0.3%43138 / 18,741
184.0.3%43160 / 22,268
184.0.3%44481 / 10,094
189.0.2%43545 / 14,231
189.0.2%43315 / 7,277
189.0.2%45154 / 9,408
192.0.2%43701 / 55,815
192.0.2%45420 / 26,376
192.0.2%44676 / 4,728
192.0.2%45459 / 27,472
192.0.2%43040 / 31,465
197.0.2%45504 / 18,478
197.0.2%43613 / 32,263
197.0.2%45875 / 11,254
197.0.2%44113 / 18,650
197.0.2%43229 / 46,387
197.0.2%43228 / 52,632
203.0.2%44004 / 33,727
203.0.2%44811 / 13,071
203.0.2%43612 / 31,067
206.0.2%45638 / 21,782
206.0.2%45244 / 28,580
208.0.2%43004 / 24,288
209.0.2%45385 / 38,332
209.0.2%43035 / 24,722
209.0.2%44889 / 7,115
209.0.2%43935 / 8,625
213.0.2%44135 / 28,024
213.0.2%44145 / 32,519
215.0.2%45409 / 17,048
215.0.2%43062 / 26,917
215.0.2%44814 / 2,703
218.0.1%44035 / 64,105
218.0.1%45247 / 21,605
218.0.1%44110 / 21,012
218.0.1%44423 / 2,837
218.0.1%44256 / 62,319
218.0.1%45036 / 37,983
224.0.1%43011 / 7,008
224.0.1%44805 / 32,530
224.0.1%45414 / 20,780
224.0.1%44130 / 50,585
224.0.1%43065 / 39,033
229.0.1%45215 / 30,014
230.0.1%44070 / 32,830
230.0.1%43609 / 23,426
230.0.1%43055 / 59,996
230.0.1%44870 / 41,212
234.0.1%45895 / 18,253
234.0.1%43204 / 41,210
234.0.1%45040 / 50,859
234.0.1%44107 / 52,101
238.0.1%44017 / 19,292
238.0.1%45248 / 25,954
240.0.1%45331 / 22,703
240.0.1%44077 / 56,017
240.0.1%45231 / 40,393
240.0.1%44001 / 20,411
244.0.1%43081 / 56,157
244.0.1%43606 / 24,642
246.0.1%44125 / 28,740
246.0.1%43068 / 52,177
248.0.0%44212 / 43,699
248.0.0%45694 / 12,164
250.0.0%44143 / 24,284
250.0.0%44137 / 23,255
252.0.0%43214 / 25,801
252.0.0%43026 / 56,946
252.0.0%44060 / 60,850

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.

*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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