	Zip Code	Births / 1,000 Women	vs State	vs National
1.	20745	1.0	38.0(-37.0)#1	32.0(-31.0)#5
2.	20746	2.0	38.0(-36.0)#2	32.0(-30.0)#49
3.	21244	3.0	38.0(-35.0)#3	32.0(-29.0)#115
4.	21830	3.0	38.0(-35.0)#4	32.0(-29.0)#201
5.	21229	4.0	38.0(-34.0)#5	32.0(-28.0)#222
6.	20748	4.0	38.0(-34.0)#6	32.0(-28.0)#224
7.	21202	4.0	38.0(-34.0)#7	32.0(-28.0)#271
8.	20851	4.0	38.0(-34.0)#8	32.0(-28.0)#295
9.	21550	4.0	38.0(-34.0)#9	32.0(-28.0)#303
10.	21029	5.0	38.0(-33.0)#10	32.0(-27.0)#478
11.	21911	5.0	38.0(-33.0)#11	32.0(-27.0)#493
12.	21044	6.0	38.0(-32.0)#12	32.0(-26.0)#583
13.	21539	6.0	38.0(-32.0)#13	32.0(-26.0)#766
14.	21502	7.0	38.0(-31.0)#14	32.0(-25.0)#785
15.	21217	7.0	38.0(-31.0)#15	32.0(-25.0)#800
16.	20905	7.0	38.0(-31.0)#16	32.0(-25.0)#854
17.	21042	8.0	38.0(-30.0)#17	32.0(-24.0)#1,014
18.	21223	8.0	38.0(-30.0)#18	32.0(-24.0)#1,084
19.	21632	9.0	38.0(-29.0)#19	32.0(-23.0)#1,449
20.	21104	9.0	38.0(-29.0)#20	32.0(-23.0)#1,451
21.	21756	9.0	38.0(-29.0)#21	32.0(-23.0)#1,489
22.	21874	10.0	38.0(-28.0)#22	32.0(-22.0)#1,795
23.	21623	10.0	38.0(-28.0)#23	32.0(-22.0)#1,796
24.	21208	11.0	38.0(-27.0)#24	32.0(-21.0)#1,837
25.	21801	11.0	38.0(-27.0)#25	32.0(-21.0)#1,858
26.	21214	11.0	38.0(-27.0)#26	32.0(-21.0)#1,895
27.	21666	11.0	38.0(-27.0)#27	32.0(-21.0)#1,934
28.	21213	12.0	38.0(-26.0)#28	32.0(-20.0)#2,172
29.	21050	12.0	38.0(-26.0)#29	32.0(-20.0)#2,228
30.	20794	12.0	38.0(-26.0)#30	32.0(-20.0)#2,244
31.	21205	12.0	38.0(-26.0)#31	32.0(-20.0)#2,248
32.	21532	12.0	38.0(-26.0)#32	32.0(-20.0)#2,264
33.	21863	12.0	38.0(-26.0)#33	32.0(-20.0)#2,331
34.	21209	13.0	38.0(-25.0)#34	32.0(-19.0)#2,452
35.	20724	13.0	38.0(-25.0)#35	32.0(-19.0)#2,518
36.	20640	13.0	38.0(-25.0)#36	32.0(-19.0)#2,571
37.	21157	14.0	38.0(-24.0)#37	32.0(-18.0)#2,723
38.	20607	14.0	38.0(-24.0)#38	32.0(-18.0)#2,860
39.	20653	15.0	38.0(-23.0)#39	32.0(-17.0)#3,084
40.	21061	16.0	38.0(-22.0)#40	32.0(-16.0)#3,302
41.	21403	16.0	38.0(-22.0)#41	32.0(-16.0)#3,349
42.	21740	17.0	38.0(-21.0)#42	32.0(-15.0)#3,594
43.	20732	17.0	38.0(-21.0)#43	32.0(-15.0)#3,756
44.	21030	18.0	38.0(-20.0)#44	32.0(-14.0)#3,991
45.	21078	18.0	38.0(-20.0)#45	32.0(-14.0)#4,026
46.	21102	18.0	38.0(-20.0)#46	32.0(-14.0)#4,075
47.	21218	19.0	38.0(-19.0)#47	32.0(-13.0)#4,237
48.	21136	20.0	38.0(-18.0)#48	32.0(-12.0)#4,562
49.	21619	20.0	38.0(-18.0)#49	32.0(-12.0)#4,728
50.	21755	20.0	38.0(-18.0)#50	32.0(-12.0)#4,731
51.	21206	21.0	38.0(-17.0)#51	32.0(-11.0)#4,842
52.	21613	21.0	38.0(-17.0)#52	32.0(-11.0)#4,959
53.	21769	21.0	38.0(-17.0)#53	32.0(-11.0)#4,993
54.	21161	21.0	38.0(-17.0)#54	32.0(-11.0)#5,062
55.	21216	22.0	38.0(-16.0)#55	32.0(-10.00)#5,239
56.	20601	22.0	38.0(-16.0)#56	32.0(-10.00)#5,245
57.	21222	23.0	38.0(-15.0)#57	32.0(-9.00)#5,462
58.	21117	23.0	38.0(-15.0)#58	32.0(-9.00)#5,463
59.	21221	23.0	38.0(-15.0)#59	32.0(-9.00)#5,480
60.	20721	23.0	38.0(-15.0)#60	32.0(-9.00)#5,517
61.	21210	23.0	38.0(-15.0)#61	32.0(-9.00)#5,589
62.	21788	23.0	38.0(-15.0)#62	32.0(-9.00)#5,612
63.	20735	24.0	38.0(-14.0)#63	32.0(-8.00)#5,789
64.	21114	24.0	38.0(-14.0)#64	32.0(-8.00)#5,851
65.	21085	24.0	38.0(-14.0)#65	32.0(-8.00)#5,894
66.	20619	24.0	38.0(-14.0)#66	32.0(-8.00)#5,911
67.	20872	24.0	38.0(-14.0)#67	32.0(-8.00)#5,915
68.	21673	24.0	38.0(-14.0)#68	32.0(-8.00)#5,998
69.	20782	25.0	38.0(-13.0)#69	32.0(-7.00)#6,128
70.	21237	25.0	38.0(-13.0)#70	32.0(-7.00)#6,143
71.	21409	25.0	38.0(-13.0)#71	32.0(-7.00)#6,195
72.	21087	25.0	38.0(-13.0)#72	32.0(-7.00)#6,294
73.	20850	26.0	38.0(-12.0)#73	32.0(-6.00)#6,390
74.	21804	26.0	38.0(-12.0)#74	32.0(-6.00)#6,425
75.	20815	26.0	38.0(-12.0)#75	32.0(-6.00)#6,459
76.	20715	26.0	38.0(-12.0)#76	32.0(-6.00)#6,487
77.	21128	26.0	38.0(-12.0)#77	32.0(-6.00)#6,546
78.	21793	26.0	38.0(-12.0)#78	32.0(-6.00)#6,566
79.	21060	27.0	38.0(-11.0)#79	32.0(-5.00)#6,757
80.	21212	27.0	38.0(-11.0)#80	32.0(-5.00)#6,775
81.	21230	27.0	38.0(-11.0)#81	32.0(-5.00)#6,778
82.	21047	27.0	38.0(-11.0)#82	32.0(-5.00)#6,875
83.	21782	27.0	38.0(-11.0)#83	32.0(-5.00)#6,940
84.	21861	27.0	38.0(-11.0)#84	32.0(-5.00)#6,995
85.	21043	28.0	38.0(-10.00)#85	32.0(-4.00)#7,033
86.	21015	29.0	38.0(-9.00)#86	32.0(-3.00)#7,366
87.	21146	29.0	38.0(-9.00)#87	32.0(-3.00)#7,373
88.	20770	29.0	38.0(-9.00)#88	32.0(-3.00)#7,380
89.	20659	29.0	38.0(-9.00)#89	32.0(-3.00)#7,407
90.	21012	29.0	38.0(-9.00)#90	32.0(-3.00)#7,410
91.	21053	29.0	38.0(-9.00)#91	32.0(-3.00)#7,535
92.	21520	29.0	38.0(-9.00)#92	32.0(-3.00)#7,547
93.	21009	30.0	38.0(-8.00)#93	32.0(-2.00)#7,652
94.	21286	30.0	38.0(-8.00)#94	32.0(-2.00)#7,691
95.	20657	30.0	38.0(-8.00)#95	32.0(-2.00)#7,693
96.	21797	30.0	38.0(-8.00)#96	32.0(-2.00)#7,761
97.	21120	30.0	38.0(-8.00)#97	32.0(-2.00)#7,777
98.	21716	30.0	38.0(-8.00)#98	32.0(-2.00)#7,781
99.	20772	31.0	38.0(-7.00)#99	32.0(-1.000)#7,875
100.	20743	31.0	38.0(-7.00)#100	32.0(-1.000)#7,907

2 3 4

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland are:

1.0

2.0

3.0

3.0

4.0

4.0

4.0

4.0

4.0

#10

21029

5.0

What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Maryland?

20745 has the Fewest Births per 1,000 Women Over the Age of 35 in Maryland with 1.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Maryland?

Number of Births per 1,000 Women Over the Age of 35 in Maryland is 38.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?

Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.