	Zip Code	Births / 1,000 Women	vs State	vs National
1.	21651	4.0	52.0 (-48.0)#1	53.0 (-49.0)#124
2.	20769	5.0	52.0 (-47.0)#2	53.0 (-48.0)#152
3.	21140	7.0	52.0 (-45.0)#3	53.0 (-46.0)#303
4.	21738	8.0	52.0 (-44.0)#4	53.0 (-45.0)#390
5.	20905	9.0	52.0 (-43.0)#5	53.0 (-44.0)#463
6.	21620	10.0	52.0 (-42.0)#6	53.0 (-43.0)#596
7.	20833	10.0	52.0 (-42.0)#7	53.0 (-43.0)#604
8.	21756	10.0	52.0 (-42.0)#8	53.0 (-43.0)#630
9.	21861	10.0	52.0 (-42.0)#9	53.0 (-43.0)#685
10.	21536	11.0	52.0 (-41.0)#10	53.0 (-42.0)#761
11.	20607	12.0	52.0 (-40.0)#11	53.0 (-41.0)#852
12.	21913	12.0	52.0 (-40.0)#12	53.0 (-41.0)#954
13.	21029	14.0	52.0 (-38.0)#13	53.0 (-39.0)#1,144
14.	20838	14.0	52.0 (-38.0)#14	53.0 (-39.0)#1,275
15.	21801	15.0	52.0 (-37.0)#15	53.0 (-38.0)#1,287
16.	21005	16.0	52.0 (-36.0)#16	53.0 (-37.0)#1,575
17.	20812	16.0	52.0 (-36.0)#17	53.0 (-37.0)#1,647
18.	20777	17.0	52.0 (-35.0)#18	53.0 (-36.0)#1,742
19.	21678	17.0	52.0 (-35.0)#19	53.0 (-36.0)#1,772
20.	20693	17.0	52.0 (-35.0)#20	53.0 (-36.0)#1,781
21.	20816	18.0	52.0 (-34.0)#21	53.0 (-35.0)#1,840
22.	21053	18.0	52.0 (-34.0)#22	53.0 (-35.0)#1,916
23.	20746	19.0	52.0 (-33.0)#23	53.0 (-34.0)#2,010
24.	21903	19.0	52.0 (-33.0)#24	53.0 (-34.0)#2,087
25.	21541	19.0	52.0 (-33.0)#25	53.0 (-34.0)#2,141
26.	20714	20.0	52.0 (-32.0)#26	53.0 (-33.0)#2,291
27.	21028	20.0	52.0 (-32.0)#27	53.0 (-33.0)#2,322
28.	21163	21.0	52.0 (-31.0)#28	53.0 (-32.0)#2,512
29.	20616	21.0	52.0 (-31.0)#29	53.0 (-32.0)#2,518
30.	21658	21.0	52.0 (-31.0)#30	53.0 (-32.0)#2,553
31.	21042	22.0	52.0 (-30.0)#31	53.0 (-31.0)#2,660
32.	21722	22.0	52.0 (-30.0)#32	53.0 (-31.0)#2,746
33.	21161	22.0	52.0 (-30.0)#33	53.0 (-31.0)#2,756
34.	21153	22.0	52.0 (-30.0)#34	53.0 (-31.0)#2,878
35.	21668	23.0	52.0 (-29.0)#35	53.0 (-30.0)#3,083
36.	20634	24.0	52.0 (-28.0)#36	53.0 (-29.0)#3,240
37.	21804	25.0	52.0 (-27.0)#37	53.0 (-28.0)#3,402
38.	21015	25.0	52.0 (-27.0)#38	53.0 (-28.0)#3,415
39.	21214	25.0	52.0 (-27.0)#39	53.0 (-28.0)#3,449
40.	21108	25.0	52.0 (-27.0)#40	53.0 (-28.0)#3,467
41.	21090	25.0	52.0 (-27.0)#41	53.0 (-28.0)#3,498
42.	21655	25.0	52.0 (-27.0)#42	53.0 (-28.0)#3,556
43.	20778	25.0	52.0 (-27.0)#43	53.0 (-28.0)#3,588
44.	21286	26.0	52.0 (-26.0)#44	53.0 (-27.0)#3,713
45.	21204	26.0	52.0 (-26.0)#45	53.0 (-27.0)#3,719
46.	21035	26.0	52.0 (-26.0)#46	53.0 (-27.0)#3,766
47.	21727	26.0	52.0 (-26.0)#47	53.0 (-27.0)#3,776
48.	21638	26.0	52.0 (-26.0)#48	53.0 (-27.0)#3,793
49.	21132	26.0	52.0 (-26.0)#49	53.0 (-27.0)#3,821
50.	21673	26.0	52.0 (-26.0)#50	53.0 (-27.0)#3,827
51.	21160	26.0	52.0 (-26.0)#51	53.0 (-27.0)#3,831
52.	21737	26.0	52.0 (-26.0)#52	53.0 (-27.0)#3,842
53.	20689	26.0	52.0 (-26.0)#53	53.0 (-27.0)#3,848
54.	20841	27.0	52.0 (-25.0)#54	53.0 (-26.0)#4,019
55.	21017	27.0	52.0 (-25.0)#55	53.0 (-26.0)#4,043
56.	21044	28.0	52.0 (-24.0)#56	53.0 (-25.0)#4,199
57.	20748	28.0	52.0 (-24.0)#57	53.0 (-25.0)#4,207
58.	20735	28.0	52.0 (-24.0)#58	53.0 (-25.0)#4,209
59.	20815	28.0	52.0 (-24.0)#59	53.0 (-25.0)#4,229
60.	21219	28.0	52.0 (-24.0)#60	53.0 (-25.0)#4,302
61.	21776	28.0	52.0 (-24.0)#61	53.0 (-25.0)#4,319
62.	21794	28.0	52.0 (-24.0)#62	53.0 (-25.0)#4,370
63.	21617	29.0	52.0 (-23.0)#63	53.0 (-24.0)#4,551
64.	21048	29.0	52.0 (-23.0)#64	53.0 (-24.0)#4,557
65.	20685	29.0	52.0 (-23.0)#65	53.0 (-24.0)#4,579
66.	21917	29.0	52.0 (-23.0)#66	53.0 (-24.0)#4,646
67.	20658	29.0	52.0 (-23.0)#67	53.0 (-24.0)#4,670
68.	21217	30.0	52.0 (-22.0)#68	53.0 (-23.0)#4,757
69.	21223	30.0	52.0 (-22.0)#69	53.0 (-23.0)#4,792
70.	21623	30.0	52.0 (-22.0)#70	53.0 (-23.0)#4,937
71.	21208	31.0	52.0 (-21.0)#71	53.0 (-22.0)#5,037
72.	21012	31.0	52.0 (-21.0)#72	53.0 (-22.0)#5,081
73.	21128	31.0	52.0 (-21.0)#73	53.0 (-22.0)#5,120
74.	21550	31.0	52.0 (-21.0)#74	53.0 (-22.0)#5,130
75.	21657	31.0	52.0 (-21.0)#75	53.0 (-22.0)#5,265
76.	20740	32.0	52.0 (-20.0)#76	53.0 (-21.0)#5,347
77.	21403	32.0	52.0 (-20.0)#77	53.0 (-21.0)#5,355
78.	20721	32.0	52.0 (-20.0)#78	53.0 (-21.0)#5,358
79.	21202	32.0	52.0 (-20.0)#79	53.0 (-21.0)#5,398
80.	20851	32.0	52.0 (-20.0)#80	53.0 (-21.0)#5,414
81.	20640	32.0	52.0 (-20.0)#81	53.0 (-21.0)#5,435
82.	21104	32.0	52.0 (-20.0)#82	53.0 (-21.0)#5,467
83.	20676	33.0	52.0 (-19.0)#83	53.0 (-20.0)#5,838
84.	21221	34.0	52.0 (-18.0)#84	53.0 (-19.0)#5,939
85.	21210	34.0	52.0 (-18.0)#85	53.0 (-19.0)#6,035
86.	20736	34.0	52.0 (-18.0)#86	53.0 (-19.0)#6,075
87.	21649	34.0	52.0 (-18.0)#87	53.0 (-19.0)#6,173
88.	21841	34.0	52.0 (-18.0)#88	53.0 (-19.0)#6,201
89.	20832	36.0	52.0 (-16.0)#89	53.0 (-17.0)#6,625
90.	20657	36.0	52.0 (-16.0)#90	53.0 (-17.0)#6,648
91.	21795	36.0	52.0 (-16.0)#91	53.0 (-17.0)#6,721
92.	20814	37.0	52.0 (-15.0)#92	53.0 (-16.0)#6,958
93.	21078	37.0	52.0 (-15.0)#93	53.0 (-16.0)#7,007
94.	21613	37.0	52.0 (-15.0)#94	53.0 (-16.0)#7,018
95.	21047	37.0	52.0 (-15.0)#95	53.0 (-16.0)#7,043
96.	21755	37.0	52.0 (-15.0)#96	53.0 (-16.0)#7,090
97.	21539	37.0	52.0 (-15.0)#97	53.0 (-16.0)#7,141
98.	20878	38.0	52.0 (-14.0)#98	53.0 (-15.0)#7,217
99.	20876	38.0	52.0 (-14.0)#99	53.0 (-15.0)#7,300
100.	21046	38.0	52.0 (-14.0)#100	53.0 (-15.0)#7,349

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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 Maryland?

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

4.0

5.0

7.0

8.0

9.0

10.0

10.0

10.0

10.0

#10

21536

11.0

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

21651 has the Fewest Births per 1,000 Women Below Poverty Level in Maryland with 4.0.

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

Number of Births per 1,000 Women Below Poverty Level in Maryland 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.