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New Jersey Farming, Fishing, and Forestry Occupations Male Percentage Zip Code Rank

Based on ACS 2008-2012 data*

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

RankFarming, Fishing, and Forestry Occupations Male Percentage ▼Zip / Population
1.25.8%08019 / 891
2.22.4%08006 / 526
3.11.4%08311 / 2,217
4.7.3%07977 / 627
5.6.4%08340 / 818
6.6.3%08302 / 48,348
7.6.3%08310 / 1,970
8.6.2%08224 / 689
9.5.9%08349 / 2,501
10.5.8%08251 / 10,234
11.5.1%08640 / 6,581
12.5.1%08323 / 924
13.4.6%08344 / 5,600
14.4.2%08037 / 24,173
15.4.1%08204 / 18,296
16.2.9%08241 / 980
17.2.9%08318 / 12,050
18.2.6%07726 / 41,943
19.2.4%08559 / 5,323
20.2.4%08089 / 4,408
21.2.3%08085 / 18,855
21.2.3%08560 / 2,969
23.2.2%08063 / 3,151
23.2.2%08202 / 2,166
25.2.1%07931 / 3,593
26.2.1%08562 / 5,924
27.2.0%08804 / 2,622
28.2.0%08884 / 8,283
29.1.9%08403 / 1,060
30.1.7%08846 / 13,661
31.1.6%08050 / 24,374
32.1.6%08098 / 8,963
33.1.6%07760 / 9,318
34.1.5%08360 / 43,373
35.1.5%07418 / 2,022
36.1.4%08515 / 6,907
37.1.4%08079 / 10,918
38.1.3%07718 / 5,947
39.1.3%08551 / 5,756
40.1.3%07838 / 3,741
41.1.3%07848 / 4,926
41.1.3%07702 / 3,822
43.1.3%08611 / 27,125
44.1.2%07501 / 31,448
44.1.2%08210 / 17,188
46.1.2%08812 / 14,327
47.1.2%08270 / 8,329
48.1.1%08731 / 19,460
49.1.1%08069 / 13,064
50.1.1%08087 / 24,029
51.1.0%08555 / 828
52.1.0%07737 / 4,071
53.1.0%07924 / 7,572
53.1.0%08055 / 27,253
55.0.9%08609 / 13,908
55.0.9%08620 / 12,832
57.0.9%08361 / 18,053
57.0.9%08809 / 6,630
59.0.9%07057 / 11,410
59.0.9%08742 / 24,429
61.0.9%08533 / 6,983
62.0.9%07017 / 34,983
62.0.9%08092 / 3,491
64.0.8%08215 / 13,857
64.0.8%07012 / 12,588
64.0.8%08105 / 29,577
67.0.8%08102 / 7,380
68.0.8%08802 / 3,819
69.0.8%07073 / 8,909
69.0.8%07032 / 40,744
69.0.8%07732 / 5,163
72.0.8%07825 / 9,720
72.0.8%08343 / 5,507
74.0.7%07764 / 8,238
75.0.7%07827 / 4,343
75.0.7%08501 / 6,366
77.0.7%08848 / 8,536
78.0.6%07762 / 8,525
79.0.6%07701 / 23,669
80.0.6%08103 / 15,029
81.0.6%08057 / 20,819
81.0.6%08051 / 10,917
83.0.6%08520 / 27,486
84.0.6%07840 / 29,658
85.0.5%07114 / 14,517
85.0.5%08901 / 55,189
85.0.5%07876 / 10,322
85.0.5%08062 / 15,645
85.0.5%08260 / 13,770
90.0.5%08075 / 29,156
90.0.5%07463 / 9,678
92.0.5%08096 / 35,155
92.0.5%07420 / 4,591
94.0.5%07722 / 10,173
94.0.5%07208 / 32,176
96.0.5%08527 / 54,268
97.0.5%07735 / 20,289
98.0.5%08558 / 6,629
98.0.5%08825 / 4,591
100.0.5%08629 / 12,634
100.0.5%07945 / 9,722
102.0.4%08053 / 45,555
102.0.4%08619 / 22,363
102.0.4%07503 / 20,027
105.0.4%08046 / 31,760
105.0.4%07882 / 14,201
105.0.4%07728 / 56,369
105.0.4%07753 / 36,740
109.0.4%07005 / 15,353
110.0.4%07055 / 69,727
110.0.4%08759 / 33,064
110.0.4%08534 / 13,037
113.0.4%07417 / 10,596
113.0.4%08067 / 1,916
115.0.4%08070 / 12,955
115.0.4%08691 / 15,283
115.0.4%08008 / 7,134
115.0.4%07018 / 29,536
115.0.4%07936 / 11,222
115.0.4%07717 / 1,972
121.0.4%07734 / 13,310
122.0.4%07405 / 17,778
122.0.4%07050 / 30,002
122.0.4%08865 / 29,922
122.0.4%08805 / 12,193
126.0.3%07731 / 38,140
127.0.3%07834 / 17,630
127.0.3%08110 / 18,322
127.0.3%07930 / 8,320
130.0.3%07670 / 14,789
130.0.3%08322 / 10,049
132.0.3%07307 / 43,626
133.0.3%07306 / 52,437
133.0.3%07823 / 7,813
135.0.3%07723 / 1,245
136.0.3%07716 / 8,664
137.0.3%07860 / 26,585
137.0.3%08401 / 39,680
137.0.3%08028 / 20,145
137.0.3%07203 / 21,103
137.0.3%08886 / 7,042
137.0.3%07871 / 21,013
143.0.3%07461 / 19,774
144.0.3%08723 / 31,603
144.0.3%07727 / 6,450
144.0.3%07044 / 13,626
144.0.3%08201 / 10,172
144.0.3%08618 / 37,681
149.0.2%07712 / 39,365
149.0.2%08530 / 8,293
149.0.2%07042 / 25,661
149.0.2%07960 / 43,712
149.0.2%08753 / 63,218
154.0.2%08724 / 43,005
154.0.2%08701 / 91,423
154.0.2%08016 / 33,089
154.0.2%08088 / 24,402
158.0.2%07933 / 3,563
158.0.2%08755 / 25,987
158.0.2%07016 / 22,659
158.0.2%08510 / 5,056
158.0.2%07093 / 60,982
163.0.2%08857 / 39,970
163.0.2%08505 / 17,087
163.0.2%08332 / 36,316
166.0.2%08826 / 5,664
167.0.2%07652 / 26,301
167.0.2%07305 / 62,432
167.0.2%07035 / 10,598
167.0.2%08060 / 24,955
167.0.2%07103 / 30,773
167.0.2%07450 / 25,063
167.0.2%07047 / 60,772
167.0.2%08817 / 45,510
167.0.2%08027 / 4,881
176.0.2%08077 / 18,505
176.0.2%08859 / 21,646
176.0.2%08080 / 36,201
176.0.2%08833 / 8,844
176.0.2%07719 / 22,437
176.0.2%08234 / 42,343
182.0.1%08225 / 8,670
182.0.1%07675 / 26,368
182.0.1%07432 / 7,131
182.0.1%07201 / 24,704
186.0.1%08831 / 45,793
186.0.1%07601 / 43,126
186.0.1%07039 / 29,269
186.0.1%07003 / 47,309
186.0.1%07302 / 37,055
191.0.1%07748 / 28,158
191.0.1%08005 / 22,118
191.0.1%08853 / 5,522
191.0.1%08872 / 19,723
191.0.1%07013 / 25,317
196.0.1%07644 / 24,176
196.0.1%07857 / 3,319
196.0.1%08054 / 41,865
196.0.1%08221 / 7,109
196.0.1%08816 / 46,298
201.0.1%07724 / 21,720
201.0.1%08406 / 10,785
201.0.1%08801 / 8,597
201.0.1%07060 / 44,219
201.0.1%08610 / 30,255
201.0.1%08822 / 30,228
201.0.1%08879 / 22,279
208.0.1%07011 / 39,904
208.0.1%08012 / 39,281
210.0.1%07045 / 10,066
210.0.1%07456 / 12,234
210.0.1%08083 / 9,521
213.0.1%08648 / 32,168
213.0.1%08525 / 4,403
213.0.1%07062 / 12,712
216.0.1%08230 / 5,739
216.0.1%07105 / 49,344
216.0.1%07002 / 63,164
216.0.1%07843 / 12,326
220.0.1%07421 / 6,935
220.0.1%07626 / 8,393
220.0.1%07645 / 7,809
220.0.1%07866 / 21,859
220.0.1%08086 / 7,425
225.0.0%07470 / 54,641
225.0.0%08094 / 39,604
225.0.0%07458 / 11,351
225.0.0%07444 / 10,426
225.0.0%07821 / 9,420
225.0.0%08031 / 11,585
231.0.0%07009 / 12,432
231.0.0%08104 / 24,420
231.0.0%07066 / 14,768
231.0.0%07836 / 12,882
231.0.0%07940 / 16,779
231.0.0%07036 / 41,851
231.0.0%07001 / 16,598
231.0.0%07436 / 12,763
239.0.0%07407 / 19,461
239.0.0%07646 / 16,362
239.0.0%07083 / 52,899
239.0.0%08052 / 19,273
239.0.0%07628 / 17,505
239.0.0%07410 / 32,479
245.0.0%08807 / 38,236
245.0.0%07111 / 54,205
245.0.0%07090 / 30,382
245.0.0%07109 / 35,778
245.0.0%07026 / 30,570

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