	Zip Code	Births / 1,000 Women	vs State	vs National
1.	27839	2.0	52.0(-50.0)#1	53.0(-51.0)#26
2.	28669	2.0	52.0(-50.0)#2	53.0(-51.0)#32
3.	28391	3.0	52.0(-49.0)#3	53.0(-50.0)#53
4.	27816	3.0	52.0(-49.0)#4	53.0(-50.0)#66
5.	27837	4.0	52.0(-48.0)#5	53.0(-49.0)#95
6.	28605	5.0	52.0(-47.0)#6	53.0(-48.0)#164
7.	28676	5.0	52.0(-47.0)#7	53.0(-48.0)#168
8.	27852	5.0	52.0(-47.0)#8	53.0(-48.0)#175
9.	27922	5.0	52.0(-47.0)#9	53.0(-48.0)#204
10.	27341	6.0	52.0(-46.0)#10	53.0(-47.0)#232
11.	27052	7.0	52.0(-45.0)#11	53.0(-46.0)#287
12.	27806	7.0	52.0(-45.0)#12	53.0(-46.0)#323
13.	27233	8.0	52.0(-44.0)#13	53.0(-45.0)#399
14.	28072	8.0	52.0(-44.0)#14	53.0(-45.0)#447
15.	28650	9.0	52.0(-43.0)#15	53.0(-44.0)#469
16.	27377	9.0	52.0(-43.0)#16	53.0(-44.0)#473
17.	27842	9.0	52.0(-43.0)#17	53.0(-44.0)#537
18.	27944	10.0	52.0(-42.0)#18	53.0(-43.0)#598
19.	28369	10.0	52.0(-42.0)#19	53.0(-43.0)#646
20.	28399	10.0	52.0(-42.0)#20	53.0(-43.0)#653
21.	28785	11.0	52.0(-41.0)#21	53.0(-42.0)#730
22.	28128	11.0	52.0(-41.0)#22	53.0(-42.0)#734
23.	27954	11.0	52.0(-41.0)#23	53.0(-42.0)#741
24.	27605	11.0	52.0(-41.0)#24	53.0(-42.0)#748
25.	28751	11.0	52.0(-41.0)#25	53.0(-42.0)#758
26.	27514	12.0	52.0(-40.0)#26	53.0(-41.0)#838
27.	28516	12.0	52.0(-40.0)#27	53.0(-41.0)#858
28.	28771	12.0	52.0(-40.0)#28	53.0(-41.0)#872
29.	27563	12.0	52.0(-40.0)#29	53.0(-41.0)#882
30.	28698	12.0	52.0(-40.0)#30	53.0(-41.0)#916
31.	28347	12.0	52.0(-40.0)#31	53.0(-41.0)#924
32.	28573	12.0	52.0(-40.0)#32	53.0(-41.0)#928
33.	27938	12.0	52.0(-40.0)#33	53.0(-41.0)#933
34.	27517	13.0	52.0(-39.0)#34	53.0(-40.0)#978
35.	28722	13.0	52.0(-39.0)#35	53.0(-40.0)#1,018
36.	27281	13.0	52.0(-39.0)#36	53.0(-40.0)#1,053
37.	28032	13.0	52.0(-39.0)#37	53.0(-40.0)#1,058
38.	28393	13.0	52.0(-39.0)#38	53.0(-40.0)#1,076
39.	27568	13.0	52.0(-39.0)#39	53.0(-40.0)#1,083
40.	28723	14.0	52.0(-38.0)#40	53.0(-39.0)#1,150
41.	27871	14.0	52.0(-38.0)#41	53.0(-39.0)#1,195
42.	28436	14.0	52.0(-38.0)#42	53.0(-39.0)#1,239
43.	28332	14.0	52.0(-38.0)#43	53.0(-39.0)#1,264
44.	28431	15.0	52.0(-37.0)#44	53.0(-38.0)#1,334
45.	28383	15.0	52.0(-37.0)#45	53.0(-38.0)#1,335
46.	27925	15.0	52.0(-37.0)#46	53.0(-38.0)#1,377
47.	28715	16.0	52.0(-36.0)#47	53.0(-37.0)#1,483
48.	28340	16.0	52.0(-36.0)#48	53.0(-37.0)#1,509
49.	27949	16.0	52.0(-36.0)#49	53.0(-37.0)#1,523
50.	27843	16.0	52.0(-36.0)#50	53.0(-37.0)#1,618
51.	28801	17.0	52.0(-35.0)#51	53.0(-36.0)#1,680
52.	28456	17.0	52.0(-35.0)#52	53.0(-36.0)#1,727
53.	28515	17.0	52.0(-35.0)#53	53.0(-36.0)#1,746
54.	27712	18.0	52.0(-34.0)#54	53.0(-35.0)#1,827
55.	27572	18.0	52.0(-34.0)#55	53.0(-35.0)#1,877
56.	27823	18.0	52.0(-34.0)#56	53.0(-35.0)#1,878
57.	28763	18.0	52.0(-34.0)#57	53.0(-35.0)#1,925
58.	27865	18.0	52.0(-34.0)#58	53.0(-35.0)#1,930
59.	27935	18.0	52.0(-34.0)#59	53.0(-35.0)#1,952
60.	27801	19.0	52.0(-33.0)#60	53.0(-34.0)#2,028
61.	27803	19.0	52.0(-33.0)#61	53.0(-34.0)#2,029
62.	28327	19.0	52.0(-33.0)#62	53.0(-34.0)#2,031
63.	27510	19.0	52.0(-33.0)#63	53.0(-34.0)#2,041
64.	28204	19.0	52.0(-33.0)#64	53.0(-34.0)#2,060
65.	27310	19.0	52.0(-33.0)#65	53.0(-34.0)#2,064
66.	27851	19.0	52.0(-33.0)#66	53.0(-34.0)#2,089
67.	27830	19.0	52.0(-33.0)#67	53.0(-34.0)#2,103
68.	27929	19.0	52.0(-33.0)#68	53.0(-34.0)#2,112
69.	28626	19.0	52.0(-33.0)#69	53.0(-34.0)#2,118
70.	28343	19.0	52.0(-33.0)#70	53.0(-34.0)#2,138
71.	27014	19.0	52.0(-33.0)#71	53.0(-34.0)#2,174
72.	28786	20.0	52.0(-32.0)#72	53.0(-33.0)#2,219
73.	28168	20.0	52.0(-32.0)#73	53.0(-33.0)#2,248
74.	28207	20.0	52.0(-32.0)#74	53.0(-33.0)#2,253
75.	27209	20.0	52.0(-32.0)#75	53.0(-33.0)#2,294
76.	28512	20.0	52.0(-32.0)#76	53.0(-33.0)#2,313
77.	27704	21.0	52.0(-31.0)#77	53.0(-32.0)#2,429
78.	28607	21.0	52.0(-31.0)#78	53.0(-32.0)#2,432
79.	28401	21.0	52.0(-31.0)#79	53.0(-32.0)#2,455
80.	28472	21.0	52.0(-31.0)#80	53.0(-32.0)#2,465
81.	28016	21.0	52.0(-31.0)#81	53.0(-32.0)#2,480
82.	27248	21.0	52.0(-31.0)#82	53.0(-32.0)#2,547
83.	28318	21.0	52.0(-31.0)#83	53.0(-32.0)#2,551
84.	27883	21.0	52.0(-31.0)#84	53.0(-32.0)#2,557
85.	28544	22.0	52.0(-30.0)#85	53.0(-31.0)#2,760
86.	28651	22.0	52.0(-30.0)#86	53.0(-31.0)#2,763
87.	27986	22.0	52.0(-30.0)#87	53.0(-31.0)#2,810
88.	27616	23.0	52.0(-29.0)#88	53.0(-30.0)#2,901
89.	28405	23.0	52.0(-29.0)#89	53.0(-30.0)#2,917
90.	28320	23.0	52.0(-29.0)#90	53.0(-30.0)#3,000
91.	27018	23.0	52.0(-29.0)#91	53.0(-30.0)#3,004
92.	28341	23.0	52.0(-29.0)#92	53.0(-30.0)#3,055
93.	27705	24.0	52.0(-28.0)#93	53.0(-29.0)#3,145
94.	27896	24.0	52.0(-28.0)#94	53.0(-29.0)#3,189
95.	28203	24.0	52.0(-28.0)#95	53.0(-29.0)#3,195
96.	28730	24.0	52.0(-28.0)#96	53.0(-29.0)#3,241
97.	28356	24.0	52.0(-28.0)#97	53.0(-29.0)#3,260
98.	27229	24.0	52.0(-28.0)#98	53.0(-29.0)#3,292
99.	28438	24.0	52.0(-28.0)#99	53.0(-29.0)#3,340
100.	28690	25.0	52.0(-27.0)#100	53.0(-28.0)#3,504

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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 North Carolina?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Carolina are:

2.0

2.0

3.0

3.0

4.0

5.0

5.0

5.0

5.0

#10

27341

6.0

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

27839 has the Fewest Births per 1,000 Women Below Poverty Level in North Carolina with 2.0.

What is the Number of Births per 1,000 Women Below Poverty Level in the State of North Carolina?

Number of Births per 1,000 Women Below Poverty Level in North Carolina is 52.0.

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.