Zip Codes with the Youngest Population in New York

Common Questions

What are the Top 10 Zip Codes with the Youngest Population in New York?
Top 10 Zip Codes with the Youngest Population in New York are:
#1
8.4
#2
8.4
#3
12.4
#4
14.5
#5
18.2
#6
19.5
#7
19.5
#8
19.5
#9
19.5
#10
19.5
What zip code has the Youngest Population in New York?
13643 has the Youngest Population in New York with 8.4.
What is the Median Age in the State of New York?
Median Age in New York is 39.2.
What is the Median Age in the United States?
Median Age in the United States is 38.4.

Map of Zip Codes with the Youngest Population in New York

40.0
8.0
Zip Codes with the Youngest Population in New York Map

Zip Codes with the Youngest Population in New York

Zip Codes with the Youngest Population in New York Chart
Zip Code Median Age vs State vs National
1.136438.439.2(-30.8)#138.4(-30.0)#12
2.148938.439.2(-30.8)#238.4(-30.0)#13
3.1335212.439.2(-26.8)#338.4(-26.0)#35
4.1278414.539.2(-24.7)#438.4(-23.9)#51
5.1381318.239.2(-21.0)#538.4(-20.2)#106
6.1095219.539.2(-19.7)#638.4(-18.9)#200
7.1390219.539.2(-19.7)#738.4(-18.9)#202
8.1426119.539.2(-19.7)#838.4(-18.9)#203
9.1462719.539.2(-19.7)#938.4(-18.9)#205
10.1179419.539.2(-19.7)#1038.4(-18.9)#216
11.1410919.539.2(-19.7)#1138.4(-18.9)#218
12.1477819.639.2(-19.6)#1238.4(-18.8)#230
13.1485319.739.2(-19.5)#1338.4(-18.7)#245
14.1222219.839.2(-19.4)#1438.4(-18.6)#259
15.1250419.839.2(-19.4)#1538.4(-18.6)#268
16.1275920.039.2(-19.2)#1638.4(-18.4)#292
17.1260420.039.2(-19.2)#1738.4(-18.4)#295
18.1480220.139.2(-19.1)#1838.4(-18.3)#306
19.1154920.139.2(-19.1)#1938.4(-18.3)#308
20.1472220.339.2(-18.9)#2038.4(-18.1)#332
21.1447820.539.2(-18.7)#2138.4(-17.9)#340
22.1297020.639.2(-18.6)#2238.4(-17.8)#349
23.1472620.739.2(-18.5)#2338.4(-17.7)#355
24.1057720.839.2(-18.4)#2438.4(-17.6)#367
25.1099621.039.2(-18.2)#2538.4(-17.4)#395
26.1474421.139.2(-18.1)#2638.4(-17.3)#406
27.1095021.239.2(-18.0)#2738.4(-17.2)#412
28.1250721.239.2(-18.0)#2838.4(-17.2)#419
29.1340821.339.2(-17.9)#2938.4(-17.1)#424
30.1360221.639.2(-17.6)#3038.4(-16.8)#469
31.1275121.639.2(-17.6)#3138.4(-16.8)#473
32.1154821.739.2(-17.5)#3238.4(-16.7)#485
33.1445421.839.2(-17.4)#3338.4(-16.6)#492
34.1197322.639.2(-16.6)#3438.4(-15.8)#590
35.1179022.739.2(-16.5)#3538.4(-15.7)#592
36.1217222.739.2(-16.5)#3638.4(-15.7)#599
37.1336022.939.2(-16.3)#3738.4(-15.5)#630
38.1360323.339.2(-15.9)#3838.4(-15.1)#674
39.1344123.539.2(-15.7)#3938.4(-14.9)#703
40.1363823.739.2(-15.5)#4038.4(-14.7)#725
41.1097724.939.2(-14.3)#4138.4(-13.5)#836
42.1321025.539.2(-13.7)#4238.4(-12.9)#909
43.1156825.539.2(-13.7)#4338.4(-12.9)#910
44.1362825.539.2(-13.7)#4438.4(-12.9)#916
45.1462326.039.2(-13.2)#4538.4(-12.4)#958
46.1121926.239.2(-13.0)#4638.4(-12.2)#977
47.1334226.339.2(-12.9)#4738.4(-12.1)#1,002
48.1345026.439.2(-12.8)#4838.4(-12.0)#1,019
49.1363727.839.2(-11.4)#4938.4(-10.6)#1,234
50.1485027.939.2(-11.3)#5038.4(-10.5)#1,255
51.1200827.939.2(-11.3)#5138.4(-10.5)#1,277
52.1334628.339.2(-10.9)#5238.4(-10.1)#1,350
53.1320228.639.2(-10.6)#5338.4(-9.80)#1,425
54.1484228.739.2(-10.5)#5438.4(-9.70)#1,464
55.1219528.739.2(-10.5)#5538.4(-9.70)#1,471
56.1285629.139.2(-10.1)#5638.4(-9.30)#1,582
57.1313429.239.2(-10.0)#5738.4(-9.20)#1,606
58.1242029.439.2(-9.80)#5838.4(-9.00)#1,668
59.1276729.439.2(-9.80)#5938.4(-9.00)#1,671
60.1120529.539.2(-9.70)#6038.4(-8.90)#1,675
61.1460529.539.2(-9.70)#6138.4(-8.90)#1,685
62.1472429.539.2(-9.70)#6238.4(-8.90)#1,688
63.1120629.739.2(-9.50)#6338.4(-8.70)#1,745
64.1045829.739.2(-9.50)#6438.4(-8.70)#1,746
65.1102429.739.2(-9.50)#6538.4(-8.70)#1,761
66.1461329.839.2(-9.40)#6638.4(-8.60)#1,790
67.1363629.839.2(-9.40)#6738.4(-8.60)#1,813
68.1155929.939.2(-9.30)#6838.4(-8.50)#1,831
69.1369129.939.2(-9.30)#6938.4(-8.50)#1,837
70.1361730.039.2(-9.20)#7038.4(-8.40)#1,870
71.1421330.139.2(-9.10)#7138.4(-8.30)#1,898
72.1230730.139.2(-9.10)#7238.4(-8.30)#1,904
73.1367330.239.2(-9.00)#7338.4(-8.20)#1,937
74.1220630.339.2(-8.90)#7438.4(-8.10)#1,967
75.1000530.339.2(-8.90)#7538.4(-8.10)#1,971
76.1367630.539.2(-8.70)#7638.4(-7.90)#2,056
77.1335330.539.2(-8.70)#7738.4(-7.90)#2,083
78.1045730.639.2(-8.60)#7838.4(-7.80)#2,085
79.1047430.639.2(-8.60)#7938.4(-7.80)#2,103
80.1420730.839.2(-8.40)#8038.4(-7.60)#2,188
81.1331330.939.2(-8.30)#8138.4(-7.50)#2,262
82.1002731.039.2(-8.20)#8238.4(-7.40)#2,270
83.1383331.139.2(-8.10)#8338.4(-7.30)#2,326
84.1278931.239.2(-8.00)#8438.4(-7.20)#2,389
85.1375231.339.2(-7.90)#8538.4(-7.10)#2,442
86.1421431.439.2(-7.80)#8638.4(-7.00)#2,469
87.1109631.439.2(-7.80)#8738.4(-7.00)#2,482
88.1380431.439.2(-7.80)#8838.4(-7.00)#2,497
89.1121131.539.2(-7.70)#8938.4(-6.90)#2,506
90.1045531.639.2(-7.60)#9038.4(-6.80)#2,568
91.1365531.639.2(-7.60)#9138.4(-6.80)#2,588
92.1123731.739.2(-7.50)#9238.4(-6.70)#2,620
93.1320431.739.2(-7.50)#9338.4(-6.70)#2,633
94.1422231.739.2(-7.50)#9438.4(-6.70)#2,637
95.1382031.839.2(-7.40)#9538.4(-6.60)#2,693
96.1220431.839.2(-7.40)#9638.4(-6.60)#2,703
97.1304531.939.2(-7.30)#9738.4(-6.50)#2,758
98.1460731.939.2(-7.30)#9838.4(-6.50)#2,767
99.1195031.939.2(-7.30)#9938.4(-6.50)#2,770
100.1000631.939.2(-7.30)#10038.4(-6.50)#2,779