Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky are:
#1
2.0
#2
2.0
#3
2.0
#4
3.0
#5
4.0
#6
5.0
#7
5.0
#8
6.0
#9
8.0
#10
8.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Kentucky?
40390 has the Fewest Births per 1,000 Women Below Poverty Level in Kentucky with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Kentucky?
Number of Births per 1,000 Women Below Poverty Level in Kentucky is 53.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky

40.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky Chart
Zip Code Births / 1,000 Women vs State vs National
1.403902.053.0(-51.0)#153.0(-51.0)#10
2.400682.053.0(-51.0)#253.0(-51.0)#26
3.424622.053.0(-51.0)#353.0(-51.0)#38
4.412243.053.0(-50.0)#453.0(-50.0)#65
5.403474.053.0(-49.0)#553.0(-49.0)#115
6.400065.053.0(-48.0)#653.0(-48.0)#171
7.401195.053.0(-48.0)#753.0(-48.0)#191
8.423786.053.0(-47.0)#853.0(-47.0)#249
9.420568.053.0(-45.0)#953.0(-45.0)#446
10.421408.053.0(-45.0)#1053.0(-45.0)#461
11.410959.053.0(-44.0)#1153.0(-44.0)#517
12.410599.053.0(-44.0)#1253.0(-44.0)#530
13.4110210.053.0(-43.0)#1353.0(-43.0)#604
14.4001910.053.0(-43.0)#1453.0(-43.0)#643
15.4204810.053.0(-43.0)#1553.0(-43.0)#681
16.4047210.053.0(-43.0)#1653.0(-43.0)#684
17.4245011.053.0(-42.0)#1753.0(-42.0)#776
18.4220211.053.0(-42.0)#1853.0(-42.0)#815
19.4005011.053.0(-42.0)#1953.0(-42.0)#816
20.4100212.053.0(-41.0)#2053.0(-41.0)#945
21.4147213.053.0(-40.0)#2153.0(-40.0)#1,033
22.4082313.053.0(-40.0)#2253.0(-40.0)#1,071
23.4121913.053.0(-40.0)#2353.0(-40.0)#1,106
24.4183113.053.0(-40.0)#2453.0(-40.0)#1,130
25.4245313.053.0(-40.0)#2553.0(-40.0)#1,146
26.4203914.053.0(-39.0)#2653.0(-39.0)#1,277
27.4001115.053.0(-38.0)#2753.0(-38.0)#1,415
28.4272616.053.0(-37.0)#2853.0(-37.0)#1,542
29.4005716.053.0(-37.0)#2953.0(-37.0)#1,553
30.4002317.053.0(-36.0)#3053.0(-36.0)#1,716
31.4153717.053.0(-36.0)#3153.0(-36.0)#1,740
32.4265317.053.0(-36.0)#3253.0(-36.0)#1,741
33.4233717.053.0(-36.0)#3353.0(-36.0)#1,775
34.4235417.053.0(-36.0)#3453.0(-36.0)#1,824
35.4202518.053.0(-35.0)#3553.0(-35.0)#1,845
36.4212218.053.0(-35.0)#3653.0(-35.0)#1,899
37.4083118.053.0(-35.0)#3753.0(-35.0)#1,909
38.4074018.053.0(-35.0)#3853.0(-35.0)#1,917
39.4109218.053.0(-35.0)#3953.0(-35.0)#1,932
40.4234918.053.0(-35.0)#4053.0(-35.0)#1,958
41.4272119.053.0(-34.0)#4153.0(-34.0)#2,158
42.4073419.053.0(-34.0)#4253.0(-34.0)#2,159
43.4118319.053.0(-34.0)#4353.0(-34.0)#2,196
44.4080620.053.0(-33.0)#4453.0(-33.0)#2,397
45.4106420.053.0(-33.0)#4553.0(-33.0)#2,398
46.4204920.053.0(-33.0)#4653.0(-33.0)#2,413
47.4000920.053.0(-33.0)#4753.0(-33.0)#2,419
48.4177320.053.0(-33.0)#4853.0(-33.0)#2,431
49.4225420.053.0(-33.0)#4953.0(-33.0)#2,480
50.4208621.053.0(-32.0)#5053.0(-32.0)#2,593
51.4106321.053.0(-32.0)#5153.0(-32.0)#2,615
52.4046121.053.0(-32.0)#5253.0(-32.0)#2,623
53.4240421.053.0(-32.0)#5353.0(-32.0)#2,625
54.4037222.053.0(-31.0)#5453.0(-31.0)#2,832
55.4262923.053.0(-30.0)#5553.0(-30.0)#3,026
56.4022324.053.0(-29.0)#5653.0(-29.0)#3,192
57.4256724.053.0(-29.0)#5753.0(-29.0)#3,282
58.4228624.053.0(-29.0)#5853.0(-29.0)#3,340
59.4271324.053.0(-29.0)#5953.0(-29.0)#3,344
60.4134824.053.0(-29.0)#6053.0(-29.0)#3,366
61.4035925.053.0(-28.0)#6153.0(-28.0)#3,535
62.4037925.053.0(-28.0)#6253.0(-28.0)#3,565
63.4004525.053.0(-28.0)#6353.0(-28.0)#3,578
64.4205025.053.0(-28.0)#6453.0(-28.0)#3,580
65.4003725.053.0(-28.0)#6553.0(-28.0)#3,584
66.4010925.053.0(-28.0)#6653.0(-28.0)#3,596
67.4105525.053.0(-28.0)#6753.0(-28.0)#3,616
68.4235225.053.0(-28.0)#6853.0(-28.0)#3,620
69.4002626.053.0(-27.0)#6953.0(-27.0)#3,784
70.4017726.053.0(-27.0)#7053.0(-27.0)#3,865
71.4051627.053.0(-26.0)#7153.0(-26.0)#4,111
72.4205127.053.0(-26.0)#7253.0(-26.0)#4,113
73.4241027.053.0(-26.0)#7353.0(-26.0)#4,160
74.4133227.053.0(-26.0)#7453.0(-26.0)#4,167
75.4208527.053.0(-26.0)#7553.0(-26.0)#4,172
76.4210328.053.0(-25.0)#7653.0(-25.0)#4,251
77.4044728.053.0(-25.0)#7753.0(-25.0)#4,318
78.4117128.053.0(-25.0)#7853.0(-25.0)#4,342
79.4103928.053.0(-25.0)#7953.0(-25.0)#4,378
80.4207828.053.0(-25.0)#8053.0(-25.0)#4,402
81.4237228.053.0(-25.0)#8153.0(-25.0)#4,422
82.4232428.053.0(-25.0)#8253.0(-25.0)#4,442
83.4155828.053.0(-25.0)#8353.0(-25.0)#4,453
84.4104129.053.0(-24.0)#8453.0(-24.0)#4,621
85.4274929.053.0(-24.0)#8553.0(-24.0)#4,654
86.4015029.053.0(-24.0)#8653.0(-24.0)#4,666
87.4202029.053.0(-24.0)#8753.0(-24.0)#4,729
88.4203629.053.0(-24.0)#8853.0(-24.0)#4,763
89.4109130.053.0(-23.0)#8953.0(-23.0)#4,852
90.4150130.053.0(-23.0)#9053.0(-23.0)#4,858
91.4107630.053.0(-23.0)#9153.0(-23.0)#4,877
92.4100830.053.0(-23.0)#9253.0(-23.0)#4,941
93.4203830.053.0(-23.0)#9353.0(-23.0)#4,954
94.4237630.053.0(-23.0)#9453.0(-23.0)#4,957
95.4202330.053.0(-23.0)#9553.0(-23.0)#5,011
96.4220430.053.0(-23.0)#9653.0(-23.0)#5,075
97.4021931.053.0(-22.0)#9753.0(-22.0)#5,121
98.4210431.053.0(-22.0)#9853.0(-22.0)#5,124
99.4271731.053.0(-22.0)#9953.0(-22.0)#5,235
100.4043731.053.0(-22.0)#10053.0(-22.0)#5,244