Zip Codes with the Highest Female / Male Ratio in New York

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in New York?
Top 10 Zip Codes with the Highest Female / Male Ratio in New York are:
#1
4,480.00
#2
602.44
#3
477.27
#4
415.38
#5
353.85
#6
273.68
#7
261.76
#8
245.45
#9
242.68
#10
241.67
What zip code has the Highest Female / Male Ratio in New York?
14302 has the Highest Female / Male Ratio in New York with 4,480.00.
What is the Famale to Male Ratio in the State of New York?
Famale to Male Ratio in New York is 104.80.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 102.03.

Map of Zip Codes with the Highest Female / Male Ratio in New York

0.00
5,000.00
Zip Codes with the Highest Female / Male Ratio in New York Map

Zip Codes with the Highest Female / Male Ratio in New York

Zip Codes with the Highest Female / Male Ratio in New York Chart
Zip Code Females / 100 Males vs State vs National
1.143024,480.00104.80(+4.38k)#1102.03(+4.38k)#4
2.12471602.44104.80(+498)#2102.03(+500)#23
3.12961477.27104.80(+372)#3102.03(+375)#42
4.12720415.38104.80(+311)#4102.03(+313)#54
5.12530353.85104.80(+249)#5102.03(+252)#76
6.10503273.68104.80(+169)#6102.03(+172)#154
7.12841261.76104.80(+157)#7102.03(+160)#169
8.11972245.45104.80(+141)#8102.03(+143)#198
9.12856242.68104.80(+138)#9102.03(+141)#206
10.13675241.67104.80(+137)#10102.03(+140)#213
11.13674240.00104.80(+135)#11102.03(+138)#220
12.14549226.67104.80(+122)#12102.03(+125)#249
13.12862226.53104.80(+122)#13102.03(+125)#250
14.12176222.13104.80(+117)#14102.03(+120)#267
15.13860218.18104.80(+113)#15102.03(+116)#276
16.14539209.52104.80(+105)#16102.03(+107)#310
17.14585208.33104.80(+104)#17102.03(+106)#319
18.12177205.99104.80(+101)#18102.03(+104)#330
19.11005194.33104.80(+89.5)#19102.03(+92.3)#393
20.12063192.74104.80(+87.9)#20102.03(+90.7)#398
21.12513191.80104.80(+87.0)#21102.03(+89.8)#407
22.10933181.82104.80(+77.0)#22102.03(+79.8)#474
23.13638180.41104.80(+75.6)#23102.03(+78.4)#488
24.12504176.97104.80(+72.2)#24102.03(+74.9)#533
25.13333176.92104.80(+72.1)#25102.03(+74.9)#535
26.11042176.88104.80(+72.1)#26102.03(+74.8)#536
27.12427171.21104.80(+66.4)#27102.03(+69.2)#592
28.14134170.37104.80(+65.6)#28102.03(+68.3)#600
29.12741170.00104.80(+65.2)#29102.03(+68.0)#605
30.12787169.70104.80(+64.9)#30102.03(+67.7)#612
31.12195167.61104.80(+62.8)#31102.03(+65.6)#636
32.12489166.67104.80(+61.9)#32102.03(+64.6)#653
33.14173166.23104.80(+61.4)#33102.03(+64.2)#667
34.12430164.90104.80(+60.1)#34102.03(+62.9)#674
35.12470164.68104.80(+59.9)#35102.03(+62.7)#680
36.13664163.86104.80(+59.1)#36102.03(+61.8)#694
37.12742163.64104.80(+58.8)#37102.03(+61.6)#698
38.12438163.64104.80(+58.8)#38102.03(+61.6)#699
39.14893163.16104.80(+58.4)#39102.03(+61.1)#708
40.12785162.15104.80(+57.4)#40102.03(+60.1)#732
41.12432161.63104.80(+56.8)#41102.03(+59.6)#738
42.12975161.22104.80(+56.4)#42102.03(+59.2)#751
43.12067160.38104.80(+55.6)#43102.03(+58.3)#761
44.12734158.11104.80(+53.3)#44102.03(+56.1)#812
45.12747156.71104.80(+51.9)#45102.03(+54.7)#842
46.14774155.77104.80(+51.0)#46102.03(+53.7)#855
47.10518153.51104.80(+48.7)#47102.03(+51.5)#899
48.10507153.44104.80(+48.6)#48102.03(+51.4)#901
49.10988151.57104.80(+46.8)#49102.03(+49.5)#935
50.12823151.09104.80(+46.3)#50102.03(+49.1)#958
51.12463150.52104.80(+45.7)#51102.03(+48.5)#976
52.12419150.19104.80(+45.4)#52102.03(+48.2)#989
53.12421150.00104.80(+45.2)#53102.03(+48.0)#997
54.13353150.00104.80(+45.2)#54102.03(+48.0)#1,007
55.12436148.89104.80(+44.1)#55102.03(+46.9)#1,038
56.13122145.81104.80(+41.0)#56102.03(+43.8)#1,123
57.12853144.71104.80(+39.9)#57102.03(+42.7)#1,153
58.12746144.55104.80(+39.7)#58102.03(+42.5)#1,158
59.12604143.64104.80(+38.8)#59102.03(+41.6)#1,195
60.10986142.12104.80(+37.3)#60102.03(+40.1)#1,251
61.12433141.79104.80(+37.0)#61102.03(+39.8)#1,260
62.11239141.61104.80(+36.8)#62102.03(+39.6)#1,270
63.12732141.59104.80(+36.8)#63102.03(+39.6)#1,273
64.12131141.38104.80(+36.6)#64102.03(+39.3)#1,282
65.10162140.76104.80(+36.0)#65102.03(+38.7)#1,307
66.11958140.12104.80(+35.3)#66102.03(+38.1)#1,331
67.12422140.00104.80(+35.2)#67102.03(+38.0)#1,338
68.12943138.73104.80(+33.9)#68102.03(+36.7)#1,384
69.10589138.71104.80(+33.9)#69102.03(+36.7)#1,385
70.11212138.66104.80(+33.9)#70102.03(+36.6)#1,388
71.14067138.55104.80(+33.8)#71102.03(+36.5)#1,398
72.12439138.30104.80(+33.5)#72102.03(+36.3)#1,407
73.12027138.18104.80(+33.4)#73102.03(+36.2)#1,413
74.11939138.10104.80(+33.3)#74102.03(+36.1)#1,417
75.12789137.99104.80(+33.2)#75102.03(+36.0)#1,427
76.11693137.96104.80(+33.2)#76102.03(+35.9)#1,428
77.10546136.28104.80(+31.5)#77102.03(+34.3)#1,540
78.13636136.00104.80(+31.2)#78102.03(+34.0)#1,560
79.10985135.23104.80(+30.4)#79102.03(+33.2)#1,615
80.13694135.18104.80(+30.4)#80102.03(+33.2)#1,619
81.12413134.90104.80(+30.1)#81102.03(+32.9)#1,636
82.10075134.57104.80(+29.8)#82102.03(+32.5)#1,665
83.13806134.52104.80(+29.7)#83102.03(+32.5)#1,668
84.13616134.47104.80(+29.7)#84102.03(+32.4)#1,673
85.11930134.23104.80(+29.4)#85102.03(+32.2)#1,690
86.12723133.67104.80(+28.9)#86102.03(+31.6)#1,730
87.13162133.54104.80(+28.7)#87102.03(+31.5)#1,736
88.14905132.62104.80(+27.8)#88102.03(+30.6)#1,804
89.12116132.25104.80(+27.4)#89102.03(+30.2)#1,834
90.10931132.22104.80(+27.4)#90102.03(+30.2)#1,837
91.06390132.00104.80(+27.2)#91102.03(+30.0)#1,849
92.13321131.92104.80(+27.1)#92102.03(+29.9)#1,855
93.12759131.69104.80(+26.9)#93102.03(+29.7)#1,875
94.12763131.56104.80(+26.8)#94102.03(+29.5)#1,892
95.12132130.68104.80(+25.9)#95102.03(+28.7)#1,964
96.14817129.92104.80(+25.1)#96102.03(+27.9)#2,038
97.10065129.71104.80(+24.9)#97102.03(+27.7)#2,060
98.10128129.54104.80(+24.7)#98102.03(+27.5)#2,070
99.13417129.32104.80(+24.5)#99102.03(+27.3)#2,094
100.13063129.26104.80(+24.5)#100102.03(+27.2)#2,100