	Zip Code	Median Age	vs State	vs National
1.	14893	5.5	40.4(-34.9)#1	39.5(-34.0)#8
2.	13638	12.8	40.4(-27.6)#2	39.5(-26.7)#61
3.	12172	12.9	40.4(-27.5)#3	39.5(-26.6)#67
4.	13813	13.9	40.4(-26.5)#4	39.5(-25.6)#76
5.	13675	15.5	40.4(-24.9)#5	39.5(-24.0)#100
6.	12791	15.7	40.4(-24.7)#6	39.5(-23.8)#103
7.	12924	16.7	40.4(-23.7)#7	39.5(-22.8)#138
8.	14726	18.3	40.4(-22.1)#8	39.5(-21.2)#188
9.	13902	19.3	40.4(-21.1)#9	39.5(-20.2)#260
10.	14627	19.4	40.4(-21.0)#10	39.5(-20.1)#276
11.	11794	19.4	40.4(-21.0)#11	39.5(-20.1)#282
12.	14261	19.5	40.4(-20.9)#12	39.5(-20.0)#288
13.	14778	19.5	40.4(-20.9)#13	39.5(-20.0)#295
14.	14109	19.5	40.4(-20.9)#14	39.5(-20.0)#298
15.	12507	19.6	40.4(-20.8)#15	39.5(-19.9)#328
16.	12222	19.7	40.4(-20.7)#16	39.5(-19.8)#332
17.	12504	19.7	40.4(-20.7)#17	39.5(-19.8)#337
18.	14853	19.8	40.4(-20.6)#18	39.5(-19.7)#351
19.	14802	19.9	40.4(-20.5)#19	39.5(-19.6)#363
20.	12733	20.0	40.4(-20.4)#20	39.5(-19.5)#379
21.	12604	20.0	40.4(-20.4)#21	39.5(-19.5)#383
22.	11549	20.1	40.4(-20.3)#22	39.5(-19.4)#400
23.	12759	20.1	40.4(-20.3)#23	39.5(-19.4)#402
24.	14478	20.2	40.4(-20.2)#24	39.5(-19.3)#411
25.	14722	20.2	40.4(-20.2)#25	39.5(-19.3)#416
26.	10577	20.6	40.4(-19.8)#26	39.5(-18.9)#449
27.	10952	20.7	40.4(-19.7)#27	39.5(-18.8)#456
28.	10996	20.8	40.4(-19.6)#28	39.5(-18.7)#470
29.	12970	20.9	40.4(-19.5)#29	39.5(-18.6)#490
30.	11548	21.2	40.4(-19.2)#30	39.5(-18.3)#521
31.	14454	21.3	40.4(-19.1)#31	39.5(-18.2)#529
32.	13408	21.4	40.4(-19.0)#32	39.5(-18.1)#540
33.	14744	21.4	40.4(-19.0)#33	39.5(-18.1)#542
34.	10933	21.6	40.4(-18.8)#34	39.5(-17.9)#580
35.	12751	21.8	40.4(-18.6)#35	39.5(-17.7)#593
36.	10950	21.9	40.4(-18.5)#36	39.5(-17.6)#603
37.	13602	22.0	40.4(-18.4)#37	39.5(-17.5)#623
38.	13162	22.0	40.4(-18.4)#38	39.5(-17.5)#627
39.	13603	23.1	40.4(-17.3)#39	39.5(-16.4)#739
40.	11790	23.4	40.4(-17.0)#40	39.5(-16.1)#772
41.	13346	23.8	40.4(-16.6)#41	39.5(-15.7)#814
42.	11568	24.4	40.4(-16.0)#42	39.5(-15.1)#883
43.	13353	24.5	40.4(-15.9)#43	39.5(-15.0)#895
44.	13802	24.6	40.4(-15.8)#44	39.5(-14.9)#903
45.	13637	25.1	40.4(-15.3)#45	39.5(-14.4)#961
46.	10977	25.3	40.4(-15.1)#46	39.5(-14.2)#972
47.	14537	25.4	40.4(-15.0)#47	39.5(-14.1)#998
48.	13210	25.5	40.4(-14.9)#48	39.5(-14.0)#1,000
49.	12945	26.4	40.4(-14.0)#49	39.5(-13.1)#1,141
50.	13636	26.5	40.4(-13.9)#50	39.5(-13.0)#1,154
51.	11219	26.7	40.4(-13.7)#51	39.5(-12.8)#1,176
52.	13751	26.9	40.4(-13.5)#52	39.5(-12.6)#1,226
53.	13628	27.0	40.4(-13.4)#53	39.5(-12.5)#1,245
54.	12482	27.2	40.4(-13.2)#54	39.5(-12.3)#1,270
55.	11973	27.5	40.4(-12.9)#55	39.5(-12.0)#1,329
56.	14724	27.6	40.4(-12.8)#56	39.5(-11.9)#1,342
57.	12746	27.6	40.4(-12.8)#57	39.5(-11.9)#1,345
58.	12856	27.8	40.4(-12.6)#58	39.5(-11.7)#1,396
59.	13202	27.9	40.4(-12.5)#59	39.5(-11.6)#1,408
60.	12734	27.9	40.4(-12.5)#60	39.5(-11.6)#1,416
61.	12042	27.9	40.4(-12.5)#61	39.5(-11.6)#1,424
62.	12767	27.9	40.4(-12.5)#62	39.5(-11.6)#1,427
63.	12561	28.4	40.4(-12.0)#63	39.5(-11.1)#1,507
64.	13680	28.5	40.4(-11.9)#64	39.5(-11.0)#1,538
65.	12165	28.6	40.4(-11.8)#65	39.5(-10.9)#1,576
66.	14623	28.8	40.4(-11.6)#66	39.5(-10.7)#1,610
67.	13355	29.0	40.4(-11.4)#67	39.5(-10.5)#1,676
68.	14855	29.1	40.4(-11.3)#68	39.5(-10.4)#1,699
69.	12456	29.2	40.4(-11.2)#69	39.5(-10.3)#1,724
70.	14708	29.5	40.4(-10.9)#70	39.5(-10.00)#1,827
71.	12420	29.6	40.4(-10.8)#71	39.5(-9.90)#1,861
72.	14850	29.7	40.4(-10.7)#72	39.5(-9.80)#1,864
73.	14213	29.7	40.4(-10.7)#73	39.5(-9.80)#1,872
74.	12206	29.8	40.4(-10.6)#74	39.5(-9.70)#1,903
75.	10005	29.9	40.4(-10.5)#75	39.5(-9.60)#1,951
76.	12024	29.9	40.4(-10.5)#76	39.5(-9.60)#1,976
77.	14607	30.0	40.4(-10.4)#77	39.5(-9.50)#1,988
78.	12041	30.1	40.4(-10.3)#78	39.5(-9.40)#2,027
79.	11205	30.2	40.4(-10.2)#79	39.5(-9.30)#2,034
80.	10003	30.3	40.4(-10.1)#80	39.5(-9.20)#2,066
81.	10458	30.6	40.4(-9.80)#81	39.5(-8.90)#2,182
82.	14613	30.7	40.4(-9.70)#82	39.5(-8.80)#2,248
83.	13136	30.7	40.4(-9.70)#83	39.5(-8.80)#2,265
84.	11559	30.8	40.4(-9.60)#84	39.5(-8.70)#2,290
85.	14898	30.8	40.4(-9.60)#85	39.5(-8.70)#2,298
86.	14707	30.8	40.4(-9.60)#86	39.5(-8.70)#2,328
87.	10027	30.9	40.4(-9.50)#87	39.5(-8.60)#2,330
88.	13676	30.9	40.4(-9.50)#88	39.5(-8.60)#2,341
89.	12789	30.9	40.4(-9.50)#89	39.5(-8.60)#2,354
90.	13696	30.9	40.4(-9.50)#90	39.5(-8.60)#2,373
91.	13633	31.0	40.4(-9.40)#91	39.5(-8.50)#2,412
92.	11206	31.2	40.4(-9.20)#92	39.5(-8.30)#2,455
93.	13820	31.3	40.4(-9.10)#93	39.5(-8.20)#2,491
94.	13045	31.4	40.4(-9.00)#94	39.5(-8.10)#2,534
95.	10474	31.4	40.4(-9.00)#95	39.5(-8.10)#2,544
96.	10457	31.5	40.4(-8.90)#96	39.5(-8.00)#2,561
97.	11211	31.5	40.4(-8.90)#97	39.5(-8.00)#2,562
98.	10931	31.5	40.4(-8.90)#98	39.5(-8.00)#2,582
99.	14842	31.5	40.4(-8.90)#99	39.5(-8.00)#2,585
100.	11237	31.7	40.4(-8.70)#100	39.5(-7.80)#2,654

Zip Codes with the Youngest Female Population in New York

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Map of Zip Codes with the Youngest Female Population in New York

Zip Codes with the Youngest Female Population in New York