	Zip Code	Births / 1,000 Women	vs State	vs National
1.	40006	4.0	54.0 (-50.0)#1	53.0 (-49.0)#97
2.	40119	5.0	54.0 (-49.0)#2	53.0 (-48.0)#183
3.	41059	6.0	54.0 (-48.0)#3	53.0 (-47.0)#237
4.	42048	7.0	54.0 (-47.0)#4	53.0 (-46.0)#322
5.	40050	8.0	54.0 (-46.0)#5	53.0 (-45.0)#413
6.	42202	8.0	54.0 (-46.0)#6	53.0 (-45.0)#414
7.	42337	8.0	54.0 (-46.0)#7	53.0 (-45.0)#415
8.	40177	8.0	54.0 (-46.0)#8	53.0 (-45.0)#419
9.	40831	9.0	54.0 (-45.0)#9	53.0 (-44.0)#491
10.	40347	9.0	54.0 (-45.0)#10	53.0 (-44.0)#500
11.	42286	9.0	54.0 (-45.0)#11	53.0 (-44.0)#529
12.	42140	9.0	54.0 (-45.0)#12	53.0 (-44.0)#543
13.	40023	10.0	54.0 (-44.0)#13	53.0 (-43.0)#608
14.	42378	10.0	54.0 (-44.0)#14	53.0 (-43.0)#628
15.	40759	10.0	54.0 (-44.0)#15	53.0 (-43.0)#639
16.	42041	11.0	54.0 (-43.0)#16	53.0 (-42.0)#753
17.	42120	11.0	54.0 (-43.0)#17	53.0 (-42.0)#770
18.	42653	12.0	54.0 (-42.0)#18	53.0 (-41.0)#895
19.	40011	12.0	54.0 (-42.0)#19	53.0 (-41.0)#918
20.	40037	13.0	54.0 (-41.0)#20	53.0 (-40.0)#1,063
21.	40472	13.0	54.0 (-41.0)#21	53.0 (-40.0)#1,085
22.	40348	13.0	54.0 (-41.0)#22	53.0 (-40.0)#1,114
23.	41039	14.0	54.0 (-40.0)#23	53.0 (-39.0)#1,205
24.	41064	14.0	54.0 (-40.0)#24	53.0 (-39.0)#1,216
25.	42712	14.0	54.0 (-40.0)#25	53.0 (-39.0)#1,231
26.	41092	15.0	54.0 (-39.0)#26	53.0 (-38.0)#1,373
27.	40810	15.0	54.0 (-39.0)#27	53.0 (-38.0)#1,435
28.	42053	16.0	54.0 (-38.0)#28	53.0 (-37.0)#1,541
29.	40019	16.0	54.0 (-38.0)#29	53.0 (-37.0)#1,551
30.	40109	16.0	54.0 (-38.0)#30	53.0 (-37.0)#1,586
31.	42367	16.0	54.0 (-38.0)#31	53.0 (-37.0)#1,623
32.	41537	17.0	54.0 (-37.0)#32	53.0 (-36.0)#1,737
33.	40516	17.0	54.0 (-37.0)#33	53.0 (-36.0)#1,751
34.	41063	17.0	54.0 (-37.0)#34	53.0 (-36.0)#1,754
35.	41219	17.0	54.0 (-37.0)#35	53.0 (-36.0)#1,769
36.	40370	18.0	54.0 (-36.0)#36	53.0 (-35.0)#1,923
37.	41002	18.0	54.0 (-36.0)#37	53.0 (-35.0)#1,926
38.	40223	20.0	54.0 (-34.0)#38	53.0 (-33.0)#2,216
39.	42025	20.0	54.0 (-34.0)#39	53.0 (-33.0)#2,223
40.	41171	20.0	54.0 (-34.0)#40	53.0 (-33.0)#2,289
41.	40057	20.0	54.0 (-34.0)#41	53.0 (-33.0)#2,302
42.	42020	20.0	54.0 (-34.0)#42	53.0 (-33.0)#2,336
43.	42349	20.0	54.0 (-34.0)#43	53.0 (-33.0)#2,345
44.	42462	20.0	54.0 (-34.0)#44	53.0 (-33.0)#2,364
45.	40807	20.0	54.0 (-34.0)#45	53.0 (-33.0)#2,408
46.	42104	21.0	54.0 (-33.0)#46	53.0 (-32.0)#2,430
47.	41095	21.0	54.0 (-33.0)#47	53.0 (-32.0)#2,550
48.	40823	21.0	54.0 (-33.0)#48	53.0 (-32.0)#2,554
49.	40379	21.0	54.0 (-33.0)#49	53.0 (-32.0)#2,555
50.	41004	21.0	54.0 (-33.0)#50	53.0 (-32.0)#2,556
51.	42051	21.0	54.0 (-33.0)#51	53.0 (-32.0)#2,579
52.	40003	21.0	54.0 (-33.0)#52	53.0 (-32.0)#2,585
53.	40508	22.0	54.0 (-32.0)#53	53.0 (-31.0)#2,674
54.	40437	22.0	54.0 (-32.0)#54	53.0 (-31.0)#2,766
55.	40461	22.0	54.0 (-32.0)#55	53.0 (-31.0)#2,796
56.	41773	22.0	54.0 (-32.0)#56	53.0 (-31.0)#2,838
57.	40157	22.0	54.0 (-32.0)#57	53.0 (-31.0)#2,858
58.	42171	23.0	54.0 (-31.0)#58	53.0 (-30.0)#3,011
59.	41008	24.0	54.0 (-30.0)#59	53.0 (-29.0)#3,242
60.	42629	24.0	54.0 (-30.0)#60	53.0 (-29.0)#3,259
61.	42413	24.0	54.0 (-30.0)#61	53.0 (-29.0)#3,309
62.	40026	25.0	54.0 (-29.0)#62	53.0 (-28.0)#3,530
63.	42166	25.0	54.0 (-29.0)#63	53.0 (-28.0)#3,596
64.	42713	25.0	54.0 (-29.0)#64	53.0 (-28.0)#3,610
65.	42343	25.0	54.0 (-29.0)#65	53.0 (-28.0)#3,612
66.	41144	26.0	54.0 (-28.0)#66	53.0 (-27.0)#3,760
67.	42544	26.0	54.0 (-28.0)#67	53.0 (-27.0)#3,789
68.	40051	26.0	54.0 (-28.0)#68	53.0 (-27.0)#3,800
69.	40468	26.0	54.0 (-28.0)#69	53.0 (-27.0)#3,845
70.	40025	26.0	54.0 (-28.0)#70	53.0 (-27.0)#3,904
71.	41003	27.0	54.0 (-27.0)#71	53.0 (-26.0)#4,096
72.	41183	27.0	54.0 (-27.0)#72	53.0 (-26.0)#4,120
73.	41055	28.0	54.0 (-26.0)#73	53.0 (-25.0)#4,382
74.	42450	29.0	54.0 (-25.0)#74	53.0 (-24.0)#4,614
75.	42404	29.0	54.0 (-25.0)#75	53.0 (-24.0)#4,641
76.	42273	29.0	54.0 (-25.0)#76	53.0 (-24.0)#4,696
77.	42728	30.0	54.0 (-24.0)#77	53.0 (-23.0)#4,809
78.	40069	30.0	54.0 (-24.0)#78	53.0 (-23.0)#4,857
79.	42749	30.0	54.0 (-24.0)#79	53.0 (-23.0)#4,880
80.	41121	30.0	54.0 (-24.0)#80	53.0 (-23.0)#4,947
81.	40204	31.0	54.0 (-23.0)#81	53.0 (-22.0)#5,129
82.	40447	31.0	54.0 (-23.0)#82	53.0 (-22.0)#5,163
83.	40150	31.0	54.0 (-23.0)#83	53.0 (-22.0)#5,195
84.	40045	31.0	54.0 (-23.0)#84	53.0 (-22.0)#5,221
85.	42049	31.0	54.0 (-23.0)#85	53.0 (-22.0)#5,255
86.	41102	32.0	54.0 (-22.0)#86	53.0 (-21.0)#5,394
87.	40336	32.0	54.0 (-22.0)#87	53.0 (-21.0)#5,423
88.	40734	32.0	54.0 (-22.0)#88	53.0 (-21.0)#5,506
89.	42023	32.0	54.0 (-22.0)#89	53.0 (-21.0)#5,518
90.	40299	33.0	54.0 (-21.0)#90	53.0 (-20.0)#5,630
91.	40391	33.0	54.0 (-21.0)#91	53.0 (-20.0)#5,639
92.	41139	33.0	54.0 (-21.0)#92	53.0 (-20.0)#5,773
93.	41311	33.0	54.0 (-21.0)#93	53.0 (-20.0)#5,791
94.	42029	33.0	54.0 (-21.0)#94	53.0 (-20.0)#5,797
95.	42757	33.0	54.0 (-21.0)#95	53.0 (-20.0)#5,837
96.	42352	33.0	54.0 (-21.0)#96	53.0 (-20.0)#5,866
97.	42410	33.0	54.0 (-21.0)#97	53.0 (-20.0)#5,874
98.	40460	33.0	54.0 (-21.0)#98	53.0 (-20.0)#5,876
99.	41602	33.0	54.0 (-21.0)#99	53.0 (-20.0)#5,890
100.	40004	34.0	54.0 (-20.0)#100	53.0 (-19.0)#5,971

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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:

4.0

5.0

6.0

7.0

8.0

8.0

8.0

8.0

9.0

#10

40347

9.0

What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Kentucky?

40006 has the Fewest Births per 1,000 Women Below Poverty Level in Kentucky with 4.0.

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 54.0.

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.