Zip Codes with the Youngest Female Population in New York

Common Questions

What are the Top 10 Zip Codes with the Youngest Female Population in New York?
Top 10 Zip Codes with the Youngest Female Population in New York are:
#1
5.5
#2
12.8
#3
12.9
#4
13.9
#5
15.5
#6
15.7
#7
16.7
#8
18.3
#9
19.3
#10
19.4
What zip code has the Youngest Female Population in New York?
14893 has the Youngest Female Population in New York with 5.5.
What is the Median Female Age in the State of New York?
Median Female Age in New York is 40.4.
What is the Median Female Age in the United States?
Median Female Age in the United States is 39.5.

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

40.0
0.0
Zip Codes with the Youngest Female Population in New York Map

Zip Codes with the Youngest Female Population in New York

Zip Codes with the Youngest Female Population in New York Chart
Zip Code Median Age vs State vs National
1.148935.540.4(-34.9)#139.5(-34.0)#8
2.1363812.840.4(-27.6)#239.5(-26.7)#61
3.1217212.940.4(-27.5)#339.5(-26.6)#67
4.1381313.940.4(-26.5)#439.5(-25.6)#76
5.1367515.540.4(-24.9)#539.5(-24.0)#100
6.1279115.740.4(-24.7)#639.5(-23.8)#103
7.1292416.740.4(-23.7)#739.5(-22.8)#138
8.1472618.340.4(-22.1)#839.5(-21.2)#188
9.1390219.340.4(-21.1)#939.5(-20.2)#260
10.1462719.440.4(-21.0)#1039.5(-20.1)#276
11.1179419.440.4(-21.0)#1139.5(-20.1)#282
12.1426119.540.4(-20.9)#1239.5(-20.0)#288
13.1477819.540.4(-20.9)#1339.5(-20.0)#295
14.1410919.540.4(-20.9)#1439.5(-20.0)#298
15.1250719.640.4(-20.8)#1539.5(-19.9)#328
16.1222219.740.4(-20.7)#1639.5(-19.8)#332
17.1250419.740.4(-20.7)#1739.5(-19.8)#337
18.1485319.840.4(-20.6)#1839.5(-19.7)#351
19.1480219.940.4(-20.5)#1939.5(-19.6)#363
20.1273320.040.4(-20.4)#2039.5(-19.5)#379
21.1260420.040.4(-20.4)#2139.5(-19.5)#383
22.1154920.140.4(-20.3)#2239.5(-19.4)#400
23.1275920.140.4(-20.3)#2339.5(-19.4)#402
24.1447820.240.4(-20.2)#2439.5(-19.3)#411
25.1472220.240.4(-20.2)#2539.5(-19.3)#416
26.1057720.640.4(-19.8)#2639.5(-18.9)#449
27.1095220.740.4(-19.7)#2739.5(-18.8)#456
28.1099620.840.4(-19.6)#2839.5(-18.7)#470
29.1297020.940.4(-19.5)#2939.5(-18.6)#490
30.1154821.240.4(-19.2)#3039.5(-18.3)#521
31.1445421.340.4(-19.1)#3139.5(-18.2)#529
32.1340821.440.4(-19.0)#3239.5(-18.1)#540
33.1474421.440.4(-19.0)#3339.5(-18.1)#542
34.1093321.640.4(-18.8)#3439.5(-17.9)#580
35.1275121.840.4(-18.6)#3539.5(-17.7)#593
36.1095021.940.4(-18.5)#3639.5(-17.6)#603
37.1360222.040.4(-18.4)#3739.5(-17.5)#623
38.1316222.040.4(-18.4)#3839.5(-17.5)#627
39.1360323.140.4(-17.3)#3939.5(-16.4)#739
40.1179023.440.4(-17.0)#4039.5(-16.1)#772
41.1334623.840.4(-16.6)#4139.5(-15.7)#814
42.1156824.440.4(-16.0)#4239.5(-15.1)#883
43.1335324.540.4(-15.9)#4339.5(-15.0)#895
44.1380224.640.4(-15.8)#4439.5(-14.9)#903
45.1363725.140.4(-15.3)#4539.5(-14.4)#961
46.1097725.340.4(-15.1)#4639.5(-14.2)#972
47.1453725.440.4(-15.0)#4739.5(-14.1)#998
48.1321025.540.4(-14.9)#4839.5(-14.0)#1,000
49.1294526.440.4(-14.0)#4939.5(-13.1)#1,141
50.1363626.540.4(-13.9)#5039.5(-13.0)#1,154
51.1121926.740.4(-13.7)#5139.5(-12.8)#1,176
52.1375126.940.4(-13.5)#5239.5(-12.6)#1,226
53.1362827.040.4(-13.4)#5339.5(-12.5)#1,245
54.1248227.240.4(-13.2)#5439.5(-12.3)#1,270
55.1197327.540.4(-12.9)#5539.5(-12.0)#1,329
56.1472427.640.4(-12.8)#5639.5(-11.9)#1,342
57.1274627.640.4(-12.8)#5739.5(-11.9)#1,345
58.1285627.840.4(-12.6)#5839.5(-11.7)#1,396
59.1320227.940.4(-12.5)#5939.5(-11.6)#1,408
60.1273427.940.4(-12.5)#6039.5(-11.6)#1,416
61.1204227.940.4(-12.5)#6139.5(-11.6)#1,424
62.1276727.940.4(-12.5)#6239.5(-11.6)#1,427
63.1256128.440.4(-12.0)#6339.5(-11.1)#1,507
64.1368028.540.4(-11.9)#6439.5(-11.0)#1,538
65.1216528.640.4(-11.8)#6539.5(-10.9)#1,576
66.1462328.840.4(-11.6)#6639.5(-10.7)#1,610
67.1335529.040.4(-11.4)#6739.5(-10.5)#1,676
68.1485529.140.4(-11.3)#6839.5(-10.4)#1,699
69.1245629.240.4(-11.2)#6939.5(-10.3)#1,724
70.1470829.540.4(-10.9)#7039.5(-10.00)#1,827
71.1242029.640.4(-10.8)#7139.5(-9.90)#1,861
72.1485029.740.4(-10.7)#7239.5(-9.80)#1,864
73.1421329.740.4(-10.7)#7339.5(-9.80)#1,872
74.1220629.840.4(-10.6)#7439.5(-9.70)#1,903
75.1000529.940.4(-10.5)#7539.5(-9.60)#1,951
76.1202429.940.4(-10.5)#7639.5(-9.60)#1,976
77.1460730.040.4(-10.4)#7739.5(-9.50)#1,988
78.1204130.140.4(-10.3)#7839.5(-9.40)#2,027
79.1120530.240.4(-10.2)#7939.5(-9.30)#2,034
80.1000330.340.4(-10.1)#8039.5(-9.20)#2,066
81.1045830.640.4(-9.80)#8139.5(-8.90)#2,182
82.1461330.740.4(-9.70)#8239.5(-8.80)#2,248
83.1313630.740.4(-9.70)#8339.5(-8.80)#2,265
84.1155930.840.4(-9.60)#8439.5(-8.70)#2,290
85.1489830.840.4(-9.60)#8539.5(-8.70)#2,298
86.1470730.840.4(-9.60)#8639.5(-8.70)#2,328
87.1002730.940.4(-9.50)#8739.5(-8.60)#2,330
88.1367630.940.4(-9.50)#8839.5(-8.60)#2,341
89.1278930.940.4(-9.50)#8939.5(-8.60)#2,354
90.1369630.940.4(-9.50)#9039.5(-8.60)#2,373
91.1363331.040.4(-9.40)#9139.5(-8.50)#2,412
92.1120631.240.4(-9.20)#9239.5(-8.30)#2,455
93.1382031.340.4(-9.10)#9339.5(-8.20)#2,491
94.1304531.440.4(-9.00)#9439.5(-8.10)#2,534
95.1047431.440.4(-9.00)#9539.5(-8.10)#2,544
96.1045731.540.4(-8.90)#9639.5(-8.00)#2,561
97.1121131.540.4(-8.90)#9739.5(-8.00)#2,562
98.1093131.540.4(-8.90)#9839.5(-8.00)#2,582
99.1484231.540.4(-8.90)#9939.5(-8.00)#2,585
100.1123731.740.4(-8.70)#10039.5(-7.80)#2,654