Zip Codes with the Lowest Population Density in New York

Common Questions

What are the Top 10 Zip Codes with the Lowest Population Density in New York?
Top 10 Zip Codes with the Lowest Population Density in New York are:
#1
0.1
#2
0.4
#3
0.5
#4
0.8
#5
1.1
#6
1.3
#7
1.5
#8
1.6
#9
1.8
#10
2.3
What zip code has the Lowest Population Density in New York?
13353 has the Lowest Population Density in New York with 0.1.
What is the Population Density in the State of New York?
Population Density in New York is 426.8.
What is the Population Density in the United States?
Population Density in the United States is 91.9.

Map of Zip Codes with the Lowest Population Density in New York

20.0
0.0
Zip Codes with the Lowest Population Density in New York Map

Zip Codes with the Lowest Population Density in New York

Zip Codes with the Lowest Population Density in New York Chart
Zip Code People / Sq Mi vs State vs National
1.133530.1426.8(-427)#191.9(-91.8)#95
2.133310.4426.8(-426)#291.9(-91.5)#306
3.129220.5426.8(-426)#391.9(-91.4)#413
4.128470.8426.8(-426)#491.9(-91.2)#619
5.121391.1426.8(-426)#591.9(-90.8)#859
6.128551.3426.8(-426)#691.9(-90.6)#970
7.134361.5426.8(-425)#791.9(-90.4)#1,105
8.128521.6426.8(-425)#891.9(-90.3)#1,204
9.129641.8426.8(-425)#991.9(-90.1)#1,327
10.129272.3426.8(-425)#1091.9(-89.6)#1,584
11.127842.4426.8(-424)#1191.9(-89.5)#1,650
12.129732.4426.8(-424)#1291.9(-89.5)#1,659
13.133602.5426.8(-424)#1391.9(-89.4)#1,702
14.129692.6426.8(-424)#1491.9(-89.4)#1,726
15.127252.7426.8(-424)#1591.9(-89.2)#1,805
16.134373.1426.8(-424)#1691.9(-88.8)#2,029
17.129433.3426.8(-424)#1791.9(-88.7)#2,110
18.136723.3426.8(-424)#1891.9(-88.6)#2,136
19.128423.4426.8(-423)#1991.9(-88.5)#2,198
20.128123.6426.8(-423)#2091.9(-88.4)#2,279
21.121903.7426.8(-423)#2191.9(-88.3)#2,324
22.121643.7426.8(-423)#2291.9(-88.2)#2,346
23.063903.7426.8(-423)#2391.9(-88.2)#2,364
24.129804.3426.8(-423)#2491.9(-87.7)#2,623
25.128564.3426.8(-423)#2591.9(-87.6)#2,644
26.128514.3426.8(-422)#2691.9(-87.6)#2,654
27.133124.6426.8(-422)#2791.9(-87.4)#2,764
28.124924.8426.8(-422)#2891.9(-87.1)#2,894
29.136705.2426.8(-422)#2991.9(-86.7)#3,088
30.136665.3426.8(-422)#3091.9(-86.7)#3,104
31.128115.5426.8(-421)#3191.9(-86.4)#3,222
32.133385.6426.8(-421)#3291.9(-86.3)#3,252
33.128415.7426.8(-421)#3391.9(-86.2)#3,319
34.128585.8426.8(-421)#3491.9(-86.1)#3,367
35.129896.0426.8(-421)#3591.9(-85.9)#3,439
36.136846.3426.8(-420)#3691.9(-85.6)#3,574
37.136596.4426.8(-420)#3791.9(-85.5)#3,596
38.136876.4426.8(-420)#3891.9(-85.5)#3,597
39.129766.4426.8(-420)#3991.9(-85.5)#3,600
40.128746.4426.8(-420)#4091.9(-85.5)#3,609
41.120326.5426.8(-420)#4191.9(-85.4)#3,636
42.121086.6426.8(-420)#4291.9(-85.3)#3,688
43.134206.8426.8(-420)#4391.9(-85.2)#3,742
44.128786.9426.8(-420)#4491.9(-85.0)#3,807
45.127507.0426.8(-420)#4591.9(-85.0)#3,829
46.127207.0426.8(-420)#4691.9(-85.0)#3,833
47.124107.2426.8(-420)#4791.9(-84.8)#3,921
48.134707.8426.8(-419)#4891.9(-84.2)#4,130
49.129707.9426.8(-419)#4991.9(-84.0)#4,190
50.129618.3426.8(-419)#5091.9(-83.6)#4,336
51.129528.6426.8(-418)#5191.9(-83.3)#4,446
52.136959.0426.8(-418)#5291.9(-83.0)#4,597
53.147839.0426.8(-418)#5391.9(-82.9)#4,623
54.129459.4426.8(-417)#5491.9(-82.5)#4,771
55.137569.5426.8(-417)#5591.9(-82.5)#4,791
56.124509.7426.8(-417)#5691.9(-82.2)#4,891
57.121949.9426.8(-417)#5791.9(-82.0)#4,959
58.1332510.4426.8(-416)#5891.9(-81.5)#5,151
59.1373110.5426.8(-416)#5991.9(-81.5)#5,172
60.1276010.5426.8(-416)#6091.9(-81.4)#5,185
61.1285710.8426.8(-416)#6191.9(-81.1)#5,302
62.1292311.0426.8(-416)#6291.9(-81.0)#5,336
63.1364811.4426.8(-415)#6391.9(-80.5)#5,500
64.1294211.6426.8(-415)#6491.9(-80.4)#5,550
65.1213111.6426.8(-415)#6591.9(-80.3)#5,575
66.1091111.7426.8(-415)#6691.9(-80.2)#5,600
67.1240611.7426.8(-415)#6791.9(-80.2)#5,608
68.1097511.8426.8(-415)#6891.9(-80.2)#5,614
69.1248011.8426.8(-415)#6991.9(-80.1)#5,632
70.1347211.9426.8(-415)#7091.9(-80.0)#5,674
71.1280812.0426.8(-415)#7191.9(-80.0)#5,684
72.1364012.4426.8(-414)#7291.9(-79.6)#5,831
73.1295512.4426.8(-414)#7391.9(-79.6)#5,838
74.1274512.5426.8(-414)#7491.9(-79.4)#5,885
75.1272412.5426.8(-414)#7591.9(-79.4)#5,904
76.1242412.9426.8(-414)#7691.9(-79.0)#6,015
77.1295013.0426.8(-414)#7791.9(-79.0)#6,023
78.1249513.0426.8(-414)#7891.9(-78.9)#6,041
79.1349413.1426.8(-414)#7991.9(-78.9)#6,067
80.1369013.1426.8(-414)#8091.9(-78.9)#6,068
81.1363313.1426.8(-414)#8191.9(-78.8)#6,080
82.1281013.3426.8(-414)#8291.9(-78.7)#6,138
83.1283613.5426.8(-413)#8391.9(-78.4)#6,204
84.1374013.8426.8(-413)#8491.9(-78.1)#6,292
85.1488413.8426.8(-413)#8591.9(-78.1)#6,310
86.1281913.9426.8(-413)#8691.9(-78.0)#6,351
87.1242114.0426.8(-413)#8791.9(-78.0)#6,365
88.1471714.2426.8(-413)#8891.9(-77.8)#6,415
89.1286214.2426.8(-413)#8991.9(-77.8)#6,421
90.1293614.2426.8(-413)#9091.9(-77.7)#6,439
91.1293414.2426.8(-413)#9191.9(-77.7)#6,446
92.1197314.6426.8(-412)#9291.9(-77.4)#6,543
93.1293514.6426.8(-412)#9391.9(-77.3)#6,554
94.1332714.7426.8(-412)#9491.9(-77.2)#6,589
95.1207114.8426.8(-412)#9591.9(-77.1)#6,651
96.1332415.1426.8(-412)#9691.9(-76.9)#6,722
97.1299815.1426.8(-412)#9791.9(-76.8)#6,726
98.1369315.1426.8(-412)#9891.9(-76.8)#6,736
99.1291215.4426.8(-411)#9991.9(-76.5)#6,830
100.1487715.5426.8(-411)#10091.9(-76.4)#6,857