	Zip Code	Births / 1,000 Women	vs State	vs National
1.	20667	1,000.0	52.0(+948)#1	53.0(+947)#28
2.	21634	630.0	52.0(+578)#2	53.0(+577)#117
3.	20758	414.0	52.0(+362)#3	53.0(+361)#244
4.	20687	413.0	52.0(+361)#4	53.0(+360)#246
5.	20608	405.0	52.0(+353)#5	53.0(+352)#257
6.	21524	351.0	52.0(+299)#6	53.0(+298)#340
7.	21156	333.0	52.0(+281)#7	53.0(+280)#368
8.	21714	255.0	52.0(+203)#8	53.0(+202)#636
9.	21733	234.0	52.0(+182)#9	53.0(+181)#747
10.	20611	219.0	52.0(+167)#10	53.0(+166)#843
11.	20670	214.0	52.0(+162)#11	53.0(+161)#864
12.	20674	204.0	52.0(+152)#12	53.0(+151)#935
13.	21071	197.0	52.0(+145)#13	53.0(+144)#1,021
14.	21869	190.0	52.0(+138)#14	53.0(+137)#1,096
15.	20711	186.0	52.0(+134)#15	53.0(+133)#1,142
16.	20645	183.0	52.0(+131)#16	53.0(+130)#1,185
17.	21622	176.0	52.0(+124)#17	53.0(+123)#1,272
18.	20762	171.0	52.0(+119)#18	53.0(+118)#1,347
19.	21542	170.0	52.0(+118)#19	53.0(+117)#1,376
20.	21798	141.0	52.0(+89.0)#20	53.0(+88.0)#1,968
21.	20650	140.0	52.0(+88.0)#21	53.0(+87.0)#1,982
22.	21636	140.0	52.0(+88.0)#22	53.0(+87.0)#1,998
23.	21155	134.0	52.0(+82.0)#23	53.0(+81.0)#2,196
24.	21851	132.0	52.0(+80.0)#24	53.0(+79.0)#2,253
25.	20860	132.0	52.0(+80.0)#25	53.0(+79.0)#2,262
26.	21647	132.0	52.0(+80.0)#26	53.0(+79.0)#2,276
27.	20781	130.0	52.0(+78.0)#27	53.0(+77.0)#2,305
28.	20710	128.0	52.0(+76.0)#28	53.0(+75.0)#2,391
29.	21034	127.0	52.0(+75.0)#29	53.0(+74.0)#2,440
30.	21082	127.0	52.0(+75.0)#30	53.0(+74.0)#2,460
31.	20637	123.0	52.0(+71.0)#31	53.0(+70.0)#2,606
32.	20602	118.0	52.0(+66.0)#32	53.0(+65.0)#2,803
33.	20779	117.0	52.0(+65.0)#33	53.0(+64.0)#2,900
34.	20896	116.0	52.0(+64.0)#34	53.0(+63.0)#2,944
35.	20759	115.0	52.0(+63.0)#35	53.0(+62.0)#2,972
36.	20751	115.0	52.0(+63.0)#36	53.0(+62.0)#2,988
37.	21853	113.0	52.0(+61.0)#37	53.0(+60.0)#3,076
38.	21402	110.0	52.0(+58.0)#38	53.0(+57.0)#3,280
39.	20754	107.0	52.0(+55.0)#39	53.0(+54.0)#3,437
40.	21227	106.0	52.0(+54.0)#40	53.0(+53.0)#3,504
41.	21520	106.0	52.0(+54.0)#41	53.0(+53.0)#3,540
42.	21601	105.0	52.0(+53.0)#42	53.0(+52.0)#3,568
43.	21850	104.0	52.0(+52.0)#43	53.0(+51.0)#3,665
44.	21650	103.0	52.0(+51.0)#44	53.0(+50.0)#3,784
45.	21562	100.0	52.0(+48.0)#45	53.0(+47.0)#3,956
46.	21837	99.0	52.0(+47.0)#46	53.0(+46.0)#4,056
47.	20664	98.0	52.0(+46.0)#47	53.0(+45.0)#4,139
48.	21561	97.0	52.0(+45.0)#48	53.0(+44.0)#4,239
49.	21713	95.0	52.0(+43.0)#49	53.0(+42.0)#4,394
50.	21084	95.0	52.0(+43.0)#50	53.0(+42.0)#4,404
51.	21162	95.0	52.0(+43.0)#51	53.0(+42.0)#4,416
52.	20877	93.0	52.0(+41.0)#52	53.0(+40.0)#4,565
53.	21009	92.0	52.0(+40.0)#53	53.0(+39.0)#4,654
54.	21758	92.0	52.0(+40.0)#54	53.0(+39.0)#4,689
55.	21625	92.0	52.0(+40.0)#55	53.0(+39.0)#4,707
56.	20706	90.0	52.0(+38.0)#56	53.0(+37.0)#4,853
57.	20912	90.0	52.0(+38.0)#57	53.0(+37.0)#4,864
58.	20755	90.0	52.0(+38.0)#58	53.0(+37.0)#4,891
59.	20623	90.0	52.0(+38.0)#59	53.0(+37.0)#4,924
60.	20880	90.0	52.0(+38.0)#60	53.0(+37.0)#4,948
61.	20636	89.0	52.0(+37.0)#61	53.0(+36.0)#4,978
62.	20677	87.0	52.0(+35.0)#62	53.0(+34.0)#5,267
63.	21639	85.0	52.0(+33.0)#63	53.0(+32.0)#5,487
64.	21530	83.0	52.0(+31.0)#64	53.0(+30.0)#5,779
65.	21074	82.0	52.0(+30.0)#65	53.0(+29.0)#5,861
66.	20695	82.0	52.0(+30.0)#66	53.0(+29.0)#5,873
67.	21220	80.0	52.0(+28.0)#67	53.0(+27.0)#6,144
68.	20785	80.0	52.0(+28.0)#68	53.0(+27.0)#6,146
69.	21032	80.0	52.0(+28.0)#69	53.0(+27.0)#6,194
70.	21144	79.0	52.0(+27.0)#70	53.0(+26.0)#6,295
71.	20871	79.0	52.0(+27.0)#71	53.0(+26.0)#6,308
72.	21001	79.0	52.0(+27.0)#72	53.0(+26.0)#6,311
73.	20794	79.0	52.0(+27.0)#73	53.0(+26.0)#6,341
74.	21750	79.0	52.0(+27.0)#74	53.0(+26.0)#6,392
75.	21742	78.0	52.0(+26.0)#75	53.0(+25.0)#6,462
76.	20879	78.0	52.0(+26.0)#76	53.0(+25.0)#6,473
77.	21826	78.0	52.0(+26.0)#77	53.0(+25.0)#6,528
78.	21874	77.0	52.0(+25.0)#78	53.0(+24.0)#6,721
79.	21754	76.0	52.0(+24.0)#79	53.0(+23.0)#6,871
80.	21757	76.0	52.0(+24.0)#80	53.0(+23.0)#6,906
81.	21774	75.0	52.0(+23.0)#81	53.0(+22.0)#7,005
82.	21849	75.0	52.0(+23.0)#82	53.0(+22.0)#7,066
83.	21631	75.0	52.0(+23.0)#83	53.0(+22.0)#7,075
84.	20904	74.0	52.0(+22.0)#84	53.0(+21.0)#7,135
85.	21842	74.0	52.0(+22.0)#85	53.0(+21.0)#7,212
86.	21610	74.0	52.0(+22.0)#86	53.0(+21.0)#7,320
87.	20707	73.0	52.0(+21.0)#87	53.0(+20.0)#7,351
88.	20866	73.0	52.0(+21.0)#88	53.0(+20.0)#7,400
89.	21237	72.0	52.0(+20.0)#89	53.0(+19.0)#7,589
90.	20837	72.0	52.0(+20.0)#90	53.0(+19.0)#7,667
91.	20722	72.0	52.0(+20.0)#91	53.0(+19.0)#7,672
92.	21791	72.0	52.0(+20.0)#92	53.0(+19.0)#7,682
93.	21205	71.0	52.0(+19.0)#93	53.0(+18.0)#7,843
94.	20906	70.0	52.0(+18.0)#94	53.0(+17.0)#7,979
95.	20886	70.0	52.0(+18.0)#95	53.0(+17.0)#7,999
96.	21704	70.0	52.0(+18.0)#96	53.0(+17.0)#8,032
97.	21054	70.0	52.0(+18.0)#97	53.0(+17.0)#8,041
98.	21532	70.0	52.0(+18.0)#98	53.0(+17.0)#8,049
99.	21632	70.0	52.0(+18.0)#99	53.0(+17.0)#8,072
100.	21521	70.0	52.0(+18.0)#100	53.0(+17.0)#8,131

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Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland?

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

1,000.0

630.0

414.0

413.0

405.0

351.0

333.0

255.0

234.0

#10

20611

219.0

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

20667 has the Most Births per 1,000 Women Below Poverty Level in Maryland with 1,000.0.

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.