Zip Codes with the Youngest Male Population in New York

Common Questions

What are the Top 10 Zip Codes with the Youngest Male Population in New York?
Top 10 Zip Codes with the Youngest Male Population in New York are:
#1
3.8
#2
8.5
#3
11.8
#4
12.3
#5
13.7
#6
14.5
#7
15.5
#8
15.6
#9
15.9
#10
16.6
What zip code has the Youngest Male Population in New York?
12420 has the Youngest Male Population in New York with 3.8.
What is the Median Male Age in the State of New York?
Median Male Age in New York is 37.9.
What is the Median Male Age in the United States?
Median Male Age in the United States is 37.3.

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

30.0
0.0
Zip Codes with the Youngest Male Population in New York Map

Zip Codes with the Youngest Male Population in New York

Zip Codes with the Youngest Male Population in New York Chart
Zip Code Median Age vs State vs National
1.124203.837.9(-34.1)#137.3(-33.5)#8
2.136438.537.9(-29.4)#237.3(-28.8)#35
3.1367411.837.9(-26.1)#337.3(-25.5)#63
4.1335212.337.9(-25.6)#437.3(-25.0)#70
5.1386013.737.9(-24.2)#537.3(-23.6)#94
6.1278414.537.9(-23.4)#637.3(-22.8)#110
7.1413015.537.9(-22.4)#737.3(-21.8)#129
8.1091415.637.9(-22.3)#837.3(-21.7)#132
9.1340415.937.9(-22.0)#937.3(-21.4)#141
10.1382616.637.9(-21.3)#1037.3(-20.7)#163
11.1243216.837.9(-21.1)#1137.3(-20.5)#171
12.1051916.837.9(-21.1)#1237.3(-20.5)#174
13.1257417.437.9(-20.5)#1337.3(-19.9)#188
14.1242317.937.9(-20.0)#1437.3(-19.4)#213
15.1095218.537.9(-19.4)#1537.3(-18.8)#237
16.1426119.537.9(-18.4)#1637.3(-17.8)#323
17.1410919.537.9(-18.4)#1737.3(-17.8)#333
18.1390219.737.9(-18.2)#1837.3(-17.6)#362
19.1462719.737.9(-18.2)#1937.3(-17.6)#368
20.1485319.737.9(-18.2)#2037.3(-17.6)#373
21.1477819.737.9(-18.2)#2137.3(-17.6)#376
22.1179419.737.9(-18.2)#2237.3(-17.6)#378
23.1222219.837.9(-18.1)#2337.3(-17.5)#385
24.1275919.837.9(-18.1)#2437.3(-17.5)#388
25.1250419.937.9(-18.0)#2537.3(-17.4)#417
26.1260420.037.9(-17.9)#2637.3(-17.3)#431
27.1154920.137.9(-17.8)#2737.3(-17.2)#446
28.1480220.237.9(-17.7)#2837.3(-17.1)#458
29.1297020.337.9(-17.6)#2937.3(-17.0)#478
30.1474420.637.9(-17.3)#3037.3(-16.7)#515
31.1095020.837.9(-17.1)#3137.3(-16.5)#537
32.1447820.837.9(-17.1)#3237.3(-16.5)#540
33.1099621.137.9(-16.8)#3337.3(-16.2)#585
34.1057721.237.9(-16.7)#3437.3(-16.1)#596
35.1340821.337.9(-16.6)#3537.3(-16.0)#608
36.1275121.537.9(-16.4)#3637.3(-15.8)#639
37.1360221.637.9(-16.3)#3737.3(-15.7)#661
38.1344121.637.9(-16.3)#3837.3(-15.7)#672
39.1375221.837.9(-16.1)#3937.3(-15.5)#698
40.1348321.937.9(-16.0)#4037.3(-15.4)#723
41.1179022.337.9(-15.6)#4137.3(-15.0)#759
42.1345022.637.9(-15.3)#4237.3(-14.7)#815
43.1336022.637.9(-15.3)#4337.3(-14.7)#817
44.1445422.737.9(-15.2)#4437.3(-14.6)#822
45.1217222.837.9(-15.1)#4537.3(-14.5)#845
46.1362822.837.9(-15.1)#4637.3(-14.5)#846
47.1154823.037.9(-14.9)#4737.3(-14.3)#871
48.1102423.137.9(-14.8)#4837.3(-14.2)#888
49.1472623.337.9(-14.6)#4937.3(-14.0)#913
50.1360323.737.9(-14.2)#5037.3(-13.6)#960
51.1363823.937.9(-14.0)#5137.3(-13.4)#1,001
52.1341824.337.9(-13.6)#5237.3(-13.0)#1,041
53.1462324.437.9(-13.5)#5337.3(-12.9)#1,044
54.1097724.637.9(-13.3)#5437.3(-12.7)#1,082
55.1364724.737.9(-13.2)#5537.3(-12.6)#1,115
56.1367824.937.9(-13.0)#5637.3(-12.4)#1,154
57.1460525.137.9(-12.8)#5737.3(-12.2)#1,172
58.1321025.537.9(-12.4)#5837.3(-11.8)#1,228
59.1334225.537.9(-12.4)#5937.3(-11.8)#1,244
60.1380425.537.9(-12.4)#6037.3(-11.8)#1,245
61.1121925.737.9(-12.2)#6137.3(-11.6)#1,266
62.1195825.837.9(-12.1)#6237.3(-11.5)#1,294
63.1459226.037.9(-11.9)#6337.3(-11.3)#1,333
64.1273726.437.9(-11.5)#6437.3(-10.9)#1,389
65.1485026.637.9(-11.3)#6537.3(-10.7)#1,420
66.1361726.737.9(-11.2)#6637.3(-10.6)#1,448
67.1200826.737.9(-11.2)#6737.3(-10.6)#1,460
68.1367326.837.9(-11.1)#6837.3(-10.5)#1,475
69.1313426.837.9(-11.1)#6937.3(-10.5)#1,498
70.1045526.937.9(-11.0)#7037.3(-10.4)#1,504
71.1461326.937.9(-11.0)#7137.3(-10.4)#1,507
72.1156827.237.9(-10.7)#7237.3(-10.1)#1,589
73.1365427.237.9(-10.7)#7337.3(-10.1)#1,591
74.1230727.637.9(-10.3)#7437.3(-9.70)#1,672
75.1057827.737.9(-10.2)#7537.3(-9.60)#1,696
76.1416827.737.9(-10.2)#7637.3(-9.60)#1,712
77.1484227.837.9(-10.1)#7737.3(-9.50)#1,735
78.1120627.937.9(-10.00)#7837.3(-9.40)#1,751
79.1203627.937.9(-10.00)#7937.3(-9.40)#1,780
80.1246028.137.9(-9.80)#8037.3(-9.20)#1,843
81.1302628.337.9(-9.60)#8137.3(-9.00)#1,891
82.1349528.437.9(-9.50)#8237.3(-8.90)#1,919
83.1375328.537.9(-9.40)#8337.3(-8.80)#1,946
84.1097628.537.9(-9.40)#8437.3(-8.80)#1,950
85.1045828.637.9(-9.30)#8537.3(-8.70)#1,967
86.1151628.637.9(-9.30)#8637.3(-8.70)#1,982
87.1155928.737.9(-9.20)#8737.3(-8.60)#2,020
88.1381328.737.9(-9.20)#8837.3(-8.60)#2,029
89.1421428.837.9(-9.10)#8937.3(-8.50)#2,052
90.1047428.837.9(-9.10)#9037.3(-8.50)#2,058
91.1120528.937.9(-9.00)#9137.3(-8.40)#2,088
92.1461128.937.9(-9.00)#9237.3(-8.40)#2,094
93.1109628.937.9(-9.00)#9337.3(-8.40)#2,104
94.1383328.937.9(-9.00)#9437.3(-8.40)#2,106
95.1471129.337.9(-8.60)#9537.3(-8.00)#2,221
96.1331029.537.9(-8.40)#9637.3(-7.80)#2,307
97.1362129.537.9(-8.40)#9737.3(-7.80)#2,309
98.1347529.537.9(-8.40)#9837.3(-7.80)#2,316
99.1334629.637.9(-8.30)#9937.3(-7.70)#2,336
100.1276729.637.9(-8.30)#10037.3(-7.70)#2,353