	Zip Code	Births / 1,000 Women	vs State	vs National
1.	98648	4.0	53.0 (-49.0)#1	53.0 (-49.0)#107
2.	99036	4.0	53.0 (-49.0)#2	53.0 (-49.0)#127
3.	98849	6.0	53.0 (-47.0)#3	53.0 (-47.0)#259
4.	98612	7.0	53.0 (-46.0)#4	53.0 (-46.0)#308
5.	98102	8.0	53.0 (-45.0)#5	53.0 (-45.0)#356
6.	99155	8.0	53.0 (-45.0)#6	53.0 (-45.0)#431
7.	98039	9.0	53.0 (-44.0)#7	53.0 (-44.0)#513
8.	99350	10.0	53.0 (-43.0)#8	53.0 (-43.0)#594
9.	98354	11.0	53.0 (-42.0)#9	53.0 (-42.0)#729
10.	98843	11.0	53.0 (-42.0)#10	53.0 (-42.0)#776
11.	99204	12.0	53.0 (-41.0)#11	53.0 (-41.0)#875
12.	99027	12.0	53.0 (-41.0)#12	53.0 (-41.0)#880
13.	98568	12.0	53.0 (-41.0)#13	53.0 (-41.0)#915
14.	99402	12.0	53.0 (-41.0)#14	53.0 (-41.0)#935
15.	99032	13.0	53.0 (-40.0)#15	53.0 (-40.0)#1,101
16.	98260	14.0	53.0 (-39.0)#16	53.0 (-39.0)#1,175
17.	98840	14.0	53.0 (-39.0)#17	53.0 (-39.0)#1,186
18.	98244	14.0	53.0 (-39.0)#18	53.0 (-39.0)#1,200
19.	98576	15.0	53.0 (-38.0)#19	53.0 (-38.0)#1,354
20.	98121	16.0	53.0 (-37.0)#20	53.0 (-37.0)#1,489
21.	98065	16.0	53.0 (-37.0)#21	53.0 (-37.0)#1,494
22.	98672	16.0	53.0 (-37.0)#22	53.0 (-37.0)#1,526
23.	98557	16.0	53.0 (-37.0)#23	53.0 (-37.0)#1,547
24.	98831	16.0	53.0 (-37.0)#24	53.0 (-37.0)#1,555
25.	98225	17.0	53.0 (-36.0)#25	53.0 (-36.0)#1,652
26.	98333	17.0	53.0 (-36.0)#26	53.0 (-36.0)#1,734
27.	98101	18.0	53.0 (-35.0)#27	53.0 (-35.0)#1,845
28.	99111	18.0	53.0 (-35.0)#28	53.0 (-35.0)#1,902
29.	98105	19.0	53.0 (-34.0)#29	53.0 (-34.0)#1,999
30.	98640	19.0	53.0 (-34.0)#30	53.0 (-34.0)#2,093
31.	99023	19.0	53.0 (-34.0)#31	53.0 (-34.0)#2,168
32.	98262	20.0	53.0 (-33.0)#32	53.0 (-33.0)#2,387
33.	98506	21.0	53.0 (-32.0)#33	53.0 (-32.0)#2,460
34.	98528	21.0	53.0 (-32.0)#34	53.0 (-32.0)#2,482
35.	99326	21.0	53.0 (-32.0)#35	53.0 (-32.0)#2,527
36.	99109	21.0	53.0 (-32.0)#36	53.0 (-32.0)#2,538
37.	99033	21.0	53.0 (-32.0)#37	53.0 (-32.0)#2,636
38.	98122	22.0	53.0 (-31.0)#38	53.0 (-31.0)#2,661
39.	98109	22.0	53.0 (-31.0)#39	53.0 (-31.0)#2,669
40.	98019	22.0	53.0 (-31.0)#40	53.0 (-31.0)#2,716
41.	99349	22.0	53.0 (-31.0)#41	53.0 (-31.0)#2,738
42.	99003	22.0	53.0 (-31.0)#42	53.0 (-31.0)#2,773
43.	98587	22.0	53.0 (-31.0)#43	53.0 (-31.0)#2,860
44.	98671	23.0	53.0 (-30.0)#44	53.0 (-30.0)#2,938
45.	98841	23.0	53.0 (-30.0)#45	53.0 (-30.0)#2,989
46.	98232	23.0	53.0 (-30.0)#46	53.0 (-30.0)#3,046
47.	98828	23.0	53.0 (-30.0)#47	53.0 (-30.0)#3,080
48.	98850	23.0	53.0 (-30.0)#48	53.0 (-30.0)#3,090
49.	99362	24.0	53.0 (-29.0)#49	53.0 (-29.0)#3,148
50.	98119	24.0	53.0 (-29.0)#50	53.0 (-29.0)#3,173
51.	98112	24.0	53.0 (-29.0)#51	53.0 (-29.0)#3,176
52.	98043	24.0	53.0 (-29.0)#52	53.0 (-29.0)#3,184
53.	98922	24.0	53.0 (-29.0)#53	53.0 (-29.0)#3,243
54.	98249	24.0	53.0 (-29.0)#54	53.0 (-29.0)#3,276
55.	99166	24.0	53.0 (-29.0)#55	53.0 (-29.0)#3,299
56.	98201	25.0	53.0 (-28.0)#56	53.0 (-28.0)#3,413
57.	98007	25.0	53.0 (-28.0)#57	53.0 (-28.0)#3,424
58.	98282	25.0	53.0 (-28.0)#58	53.0 (-28.0)#3,468
59.	98443	25.0	53.0 (-28.0)#59	53.0 (-28.0)#3,536
60.	98253	25.0	53.0 (-28.0)#60	53.0 (-28.0)#3,601
61.	98822	25.0	53.0 (-28.0)#61	53.0 (-28.0)#3,602
62.	98276	25.0	53.0 (-28.0)#62	53.0 (-28.0)#3,616
63.	98103	26.0	53.0 (-27.0)#63	53.0 (-27.0)#3,673
64.	98107	26.0	53.0 (-27.0)#64	53.0 (-27.0)#3,693
65.	98321	26.0	53.0 (-27.0)#65	53.0 (-27.0)#3,731
66.	98947	26.0	53.0 (-27.0)#66	53.0 (-27.0)#3,828
67.	98588	26.0	53.0 (-27.0)#67	53.0 (-27.0)#3,858
68.	98619	26.0	53.0 (-27.0)#68	53.0 (-27.0)#3,896
69.	99125	26.0	53.0 (-27.0)#69	53.0 (-27.0)#3,901
70.	98503	27.0	53.0 (-26.0)#70	53.0 (-26.0)#3,933
71.	98144	27.0	53.0 (-26.0)#71	53.0 (-26.0)#3,946
72.	98356	27.0	53.0 (-26.0)#72	53.0 (-26.0)#4,108
73.	98275	28.0	53.0 (-25.0)#73	53.0 (-25.0)#4,259
74.	98104	28.0	53.0 (-25.0)#74	53.0 (-25.0)#4,277
75.	99163	29.0	53.0 (-24.0)#75	53.0 (-24.0)#4,467
76.	98516	29.0	53.0 (-24.0)#76	53.0 (-24.0)#4,486
77.	98040	29.0	53.0 (-24.0)#77	53.0 (-24.0)#4,494
78.	98368	29.0	53.0 (-24.0)#78	53.0 (-24.0)#4,522
79.	99005	29.0	53.0 (-24.0)#79	53.0 (-24.0)#4,550
80.	98589	29.0	53.0 (-24.0)#80	53.0 (-24.0)#4,572
81.	98029	30.0	53.0 (-23.0)#81	53.0 (-23.0)#4,759
82.	98383	30.0	53.0 (-23.0)#82	53.0 (-23.0)#4,783
83.	98331	30.0	53.0 (-23.0)#83	53.0 (-23.0)#4,873
84.	98053	31.0	53.0 (-22.0)#84	53.0 (-22.0)#5,084
85.	98045	31.0	53.0 (-22.0)#85	53.0 (-22.0)#5,124
86.	98466	32.0	53.0 (-21.0)#86	53.0 (-21.0)#5,360
87.	98823	32.0	53.0 (-21.0)#87	53.0 (-21.0)#5,422
88.	99360	32.0	53.0 (-21.0)#88	53.0 (-21.0)#5,549
89.	99103	32.0	53.0 (-21.0)#89	53.0 (-21.0)#5,577
90.	98673	32.0	53.0 (-21.0)#90	53.0 (-21.0)#5,583
91.	98402	33.0	53.0 (-20.0)#91	53.0 (-20.0)#5,782
92.	99025	33.0	53.0 (-20.0)#92	53.0 (-20.0)#5,803
93.	98365	33.0	53.0 (-20.0)#93	53.0 (-20.0)#5,809
94.	98115	34.0	53.0 (-19.0)#94	53.0 (-19.0)#5,930
95.	98660	34.0	53.0 (-19.0)#95	53.0 (-19.0)#6,047
96.	98329	34.0	53.0 (-19.0)#96	53.0 (-19.0)#6,059
97.	98236	34.0	53.0 (-19.0)#97	53.0 (-19.0)#6,095
98.	99141	34.0	53.0 (-19.0)#98	53.0 (-19.0)#6,099
99.	98857	34.0	53.0 (-19.0)#99	53.0 (-19.0)#6,134
100.	99138	34.0	53.0 (-19.0)#100	53.0 (-19.0)#6,198

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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 Washington?

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

4.0

4.0

6.0

7.0

8.0

8.0

9.0

10.0

11.0

#10

98843

11.0

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

98648 has the Fewest Births per 1,000 Women Below Poverty Level in Washington with 4.0.

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

Number of Births per 1,000 Women Below Poverty Level in Washington is 53.0.

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.