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South Carolina Farming, Fishing, and Forestry Occupations Female Percentage Zip Code Rank

Based on US Census 2000 data

A total of 175 results found. Show Results on Map.

RankFarming, Fishing, and Forestry Occupations Female Percentage ▼Zip / Population
1.7.0%29074 / 349
2.4.6%29686 / 924
3.4.4%29009 / 2,327
4.4.2%29836 / 658
5.3.0%29728 / 9,167
6.2.9%29018 / 4,189
7.2.5%29355 / 801
8.2.5%29146 / 1,874
9.2.5%29481 / 2,068
10.1.9%29805 / 4,860
11.1.9%29547 / 2,543
12.1.7%29580 / 1,773
13.1.7%29563 / 2,765
14.1.7%29458 / 2,994
15.1.6%29113 / 1,598
16.1.6%29592 / 1,000
16.1.6%29125 / 3,499
18.1.5%29168 / 3,376
19.1.5%29001 / 2,363
20.1.4%29544 / 4,364
21.1.3%29626 / 11,855
22.1.3%29138 / 10,126
23.1.3%29455 / 13,684
24.1.2%29911 / 1,754
25.1.2%29596 / 2,606
26.1.2%29712 / 2,328
27.1.2%29127 / 7,485
28.1.2%29162 / 2,675
29.1.1%29718 / 3,389
30.1.1%29810 / 5,530
31.1.0%29684 / 4,320
32.1.0%29126 / 2,231
33.1.0%29101 / 2,697
34.1.0%29431 / 5,468
35.1.0%29129 / 2,799
36.1.0%29449 / 7,374
37.1.0%29440 / 28,875
38.0.9%29047 / 3,716
39.0.9%29812 / 11,991
40.0.9%29935 / 3,599
41.0.9%29160 / 6,858
42.0.9%29672 / 9,432
43.0.8%29059 / 6,090
43.0.8%29827 / 4,529
45.0.8%29429 / 2,739
46.0.8%29565 / 6,761
46.0.8%29631 / 17,946
46.0.8%29511 / 4,421
49.0.8%29568 / 7,778
50.0.7%29108 / 19,804
50.0.7%29369 / 9,037
52.0.7%29048 / 4,880
52.0.7%29477 / 6,700
52.0.7%29546 / 3,051
55.0.7%29201 / 16,549
56.0.7%29069 / 5,135
57.0.7%29412 / 31,923
58.0.6%29153 / 14,713
58.0.6%29006 / 9,498
60.0.6%29630 / 11,879
60.0.6%29706 / 21,194
60.0.6%29532 / 20,921
63.0.6%29135 / 9,710
63.0.6%29032 / 4,217
65.0.6%29376 / 5,547
66.0.6%29479 / 7,161
67.0.6%29670 / 7,022
67.0.6%29040 / 6,928
67.0.6%29123 / 6,048
70.0.5%29406 / 36,451
71.0.5%29020 / 21,475
72.0.5%29145 / 902
72.0.5%29164 / 4,128
72.0.5%29569 / 13,816
72.0.5%29536 / 17,048
76.0.5%29853 / 6,746
76.0.5%29920 / 9,486
76.0.5%29574 / 13,220
79.0.5%29150 / 38,302
80.0.5%29340 / 21,228
80.0.5%29710 / 22,033
80.0.5%29161 / 11,102
83.0.4%29801 / 25,898
84.0.4%29817 / 5,458
84.0.4%29926 / 18,736
84.0.4%29571 / 16,632
84.0.4%29488 / 21,411
88.0.4%29407 / 36,578
88.0.4%29832 / 5,649
88.0.4%29527 / 18,101
88.0.4%29055 / 4,974
88.0.4%29692 / 4,940
93.0.4%29860 / 11,202
93.0.4%29661 / 6,096
93.0.4%29016 / 10,225
93.0.4%29510 / 11,540
97.0.4%29530 / 2,688
97.0.4%29520 / 13,911
99.0.4%29010 / 13,426
99.0.4%29209 / 28,022
101.0.4%29203 / 42,459
102.0.4%29605 / 30,835
102.0.4%29470 / 4,004
104.0.4%29483 / 48,091
104.0.4%29379 / 19,874
106.0.4%29541 / 8,070
106.0.4%29646 / 28,146
106.0.4%29550 / 31,313
109.0.3%29505 / 19,115
110.0.3%29204 / 22,120
110.0.3%29906 / 21,711
110.0.3%29944 / 4,601
113.0.3%29036 / 11,929
114.0.3%29644 / 15,980
114.0.3%29628 / 3,337
116.0.3%29461 / 24,081
117.0.3%29627 / 17,489
117.0.3%29306 / 15,932
119.0.3%29070 / 13,206
119.0.3%29673 / 21,298
119.0.3%29067 / 9,991
122.0.3%29560 / 13,550
122.0.3%29730 / 45,913
124.0.3%29485 / 28,337
124.0.3%29053 / 16,241
124.0.3%29702 / 9,655
124.0.3%29945 / 4,515
124.0.3%29102 / 15,914
129.0.3%29385 / 6,698
129.0.3%29847 / 4,074
129.0.3%29206 / 21,734
132.0.2%29044 / 5,937
132.0.2%29142 / 4,639
132.0.2%29045 / 13,694
132.0.2%29651 / 33,280
136.0.2%29927 / 6,509
136.0.2%29112 / 4,739
138.0.2%29693 / 13,855
138.0.2%29432 / 2,770
138.0.2%29918 / 6,746
141.0.2%29591 / 5,212
141.0.2%29662 / 13,332
143.0.2%29678 / 18,934
143.0.2%29341 / 17,015
143.0.2%29512 / 19,088
146.0.2%29501 / 38,652
146.0.2%29835 / 7,382
146.0.2%29611 / 28,367
146.0.2%29302 / 17,630
146.0.2%29732 / 39,677
146.0.2%29325 / 15,986
152.0.2%29033 / 12,253
152.0.2%29687 / 35,194
152.0.2%29301 / 30,152
152.0.2%29642 / 24,435
152.0.2%29649 / 22,924
157.0.2%29829 / 7,009
157.0.2%29615 / 31,249
157.0.2%29655 / 7,371
157.0.2%29170 / 18,004
161.0.1%29607 / 28,009
162.0.1%29080 / 4,058
162.0.1%29115 / 33,198
164.0.1%29205 / 25,506
165.0.1%29575 / 29,505
166.0.1%29303 / 24,843
166.0.1%29617 / 23,337
166.0.1%29681 / 30,002
166.0.1%29624 / 15,898
170.0.1%29349 / 23,319
170.0.1%29653 / 4,540
170.0.1%29223 / 44,050
170.0.1%29640 / 29,294
174.0.1%29803 / 30,292
175.0.0%29609 / 32,077

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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