Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Washington

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Highest Birth Rate | Below Poverty
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Washington
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Washington

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Washington Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Washington

Zip Code Births / 1,000 Women vs State vs National
1. 98616 1,000.0 53.0 (+947)#1 53.0 (+947)#48
2. 99105 1,000.0 53.0 (+947)#2 53.0 (+947)#55
3. 98819 714.0 53.0 (+661)#3 53.0 (+661)#83
4. 99333 667.0 53.0 (+614)#4 53.0 (+614)#104
5. 98643 568.0 53.0 (+515)#5 53.0 (+515)#140
6. 98859 508.0 53.0 (+455)#6 53.0 (+455)#167
7. 99330 472.0 53.0 (+419)#7 53.0 (+419)#194
8. 99180 373.0 53.0 (+320)#8 53.0 (+320)#302
9. 99137 365.0 53.0 (+312)#9 53.0 (+312)#313
10. 98812 277.0 53.0 (+224)#10 53.0 (+224)#539
11. 98938 256.0 53.0 (+203)#11 53.0 (+203)#625
12. 99152 250.0 53.0 (+197)#12 53.0 (+197)#661
13. 99356 245.0 53.0 (+192)#13 53.0 (+192)#692
14. 99181 216.0 53.0 (+163)#14 53.0 (+163)#854
15. 99126 201.0 53.0 (+148)#15 53.0 (+148)#970
16. 98844 182.0 53.0 (+129)#16 53.0 (+129)#1,188
17. 98833 182.0 53.0 (+129)#17 53.0 (+129)#1,200
18. 99124 175.0 53.0 (+122)#18 53.0 (+122)#1,287
19. 99179 173.0 53.0 (+120)#19 53.0 (+120)#1,320
20. 99011 172.0 53.0 (+119)#20 53.0 (+119)#1,328
21. 98862 170.0 53.0 (+117)#21 53.0 (+117)#1,363
22. 98433 167.0 53.0 (+114)#22 53.0 (+114)#1,416
23. 99013 160.0 53.0 (+107)#23 53.0 (+107)#1,554
24. 98396 158.0 53.0 (+105)#24 53.0 (+105)#1,603
25. 98593 155.0 53.0 (+102)#25 53.0 (+102)#1,650
26. 99129 147.0 53.0 (+94.0)#26 53.0 (+94.0)#1,819
27. 98315 145.0 53.0 (+92.0)#27 53.0 (+92.0)#1,855
28. 98596 144.0 53.0 (+91.0)#28 53.0 (+91.0)#1,882
29. 99156 139.0 53.0 (+86.0)#29 53.0 (+86.0)#2,014
30. 99170 137.0 53.0 (+84.0)#30 53.0 (+84.0)#2,098
31. 99009 134.0 53.0 (+81.0)#31 53.0 (+81.0)#2,190
32. 98564 134.0 53.0 (+81.0)#32 53.0 (+81.0)#2,195
33. 99341 134.0 53.0 (+81.0)#33 53.0 (+81.0)#2,206
34. 98565 133.0 53.0 (+80.0)#34 53.0 (+80.0)#2,243
35. 98674 126.0 53.0 (+73.0)#35 53.0 (+73.0)#2,475
36. 98860 125.0 53.0 (+72.0)#36 53.0 (+72.0)#2,544
37. 98848 123.0 53.0 (+70.0)#37 53.0 (+70.0)#2,601
38. 98388 121.0 53.0 (+68.0)#38 53.0 (+68.0)#2,694
39. 98283 119.0 53.0 (+66.0)#39 53.0 (+66.0)#2,799
40. 98932 118.0 53.0 (+65.0)#40 53.0 (+65.0)#2,812
41. 99122 118.0 53.0 (+65.0)#41 53.0 (+65.0)#2,815
42. 98591 118.0 53.0 (+65.0)#42 53.0 (+65.0)#2,817
43. 99140 118.0 53.0 (+65.0)#43 53.0 (+65.0)#2,851
44. 99158 117.0 53.0 (+64.0)#44 53.0 (+64.0)#2,905
45. 99001 114.0 53.0 (+61.0)#45 53.0 (+61.0)#3,025
46. 98255 114.0 53.0 (+61.0)#46 53.0 (+61.0)#3,062
47. 98953 113.0 53.0 (+60.0)#47 53.0 (+60.0)#3,078
48. 99101 112.0 53.0 (+59.0)#48 53.0 (+59.0)#3,158
49. 98057 111.0 53.0 (+58.0)#49 53.0 (+58.0)#3,184
50. 98936 111.0 53.0 (+58.0)#50 53.0 (+58.0)#3,189
51. 98570 111.0 53.0 (+58.0)#51 53.0 (+58.0)#3,195
52. 99328 111.0 53.0 (+58.0)#52 53.0 (+58.0)#3,199
53. 98563 110.0 53.0 (+57.0)#53 53.0 (+57.0)#3,261
54. 98628 109.0 53.0 (+56.0)#54 53.0 (+56.0)#3,351
55. 98675 108.0 53.0 (+55.0)#55 53.0 (+55.0)#3,384
56. 98524 108.0 53.0 (+55.0)#56 53.0 (+55.0)#3,394
57. 98586 108.0 53.0 (+55.0)#57 53.0 (+55.0)#3,404
58. 98323 108.0 53.0 (+55.0)#58 53.0 (+55.0)#3,419
59. 98077 104.0 53.0 (+51.0)#59 53.0 (+51.0)#3,643
60. 98937 104.0 53.0 (+51.0)#60 53.0 (+51.0)#3,663
61. 98650 104.0 53.0 (+51.0)#61 53.0 (+51.0)#3,685
62. 98332 103.0 53.0 (+50.0)#62 53.0 (+50.0)#3,707
63. 99130 101.0 53.0 (+48.0)#63 53.0 (+48.0)#3,907
64. 98541 100.0 53.0 (+47.0)#64 53.0 (+47.0)#3,934
65. 99017 98.0 53.0 (+45.0)#65 53.0 (+45.0)#4,181
66. 98051 97.0 53.0 (+44.0)#66 53.0 (+44.0)#4,223
67. 99324 96.0 53.0 (+43.0)#67 53.0 (+43.0)#4,307
68. 98620 96.0 53.0 (+43.0)#68 53.0 (+43.0)#4,312
69. 98815 96.0 53.0 (+43.0)#69 53.0 (+43.0)#4,313
70. 99347 96.0 53.0 (+43.0)#70 53.0 (+43.0)#4,342
71. 99029 96.0 53.0 (+43.0)#71 53.0 (+43.0)#4,349
72. 98404 95.0 53.0 (+42.0)#72 53.0 (+42.0)#4,372
73. 98037 95.0 53.0 (+42.0)#73 53.0 (+42.0)#4,374
74. 98530 95.0 53.0 (+42.0)#74 53.0 (+42.0)#4,464
75. 99320 94.0 53.0 (+41.0)#75 53.0 (+41.0)#4,504
76. 98465 94.0 53.0 (+41.0)#76 53.0 (+41.0)#4,509
77. 98024 94.0 53.0 (+41.0)#77 53.0 (+41.0)#4,520
78. 98631 94.0 53.0 (+41.0)#78 53.0 (+41.0)#4,523
79. 99110 94.0 53.0 (+41.0)#79 53.0 (+41.0)#4,542
80. 98248 93.0 53.0 (+40.0)#80 53.0 (+40.0)#4,568
81. 98055 93.0 53.0 (+40.0)#81 53.0 (+40.0)#4,570
82. 99323 93.0 53.0 (+40.0)#82 53.0 (+40.0)#4,599
83. 98281 93.0 53.0 (+40.0)#83 53.0 (+40.0)#4,625
84. 98409 92.0 53.0 (+39.0)#84 53.0 (+39.0)#4,656
85. 98310 91.0 53.0 (+38.0)#85 53.0 (+38.0)#4,757
86. 99348 91.0 53.0 (+38.0)#86 53.0 (+38.0)#4,819
87. 98166 90.0 53.0 (+37.0)#87 53.0 (+37.0)#4,868
88. 98952 90.0 53.0 (+37.0)#88 53.0 (+37.0)#4,932
89. 99329 89.0 53.0 (+36.0)#89 53.0 (+36.0)#5,054
90. 98230 88.0 53.0 (+35.0)#90 53.0 (+35.0)#5,075
91. 98595 88.0 53.0 (+35.0)#91 53.0 (+35.0)#5,113
92. 98629 87.0 53.0 (+34.0)#92 53.0 (+34.0)#5,217
93. 99335 87.0 53.0 (+34.0)#93 53.0 (+34.0)#5,304
94. 98531 86.0 53.0 (+33.0)#94 53.0 (+33.0)#5,314
95. 98439 86.0 53.0 (+33.0)#95 53.0 (+33.0)#5,359
96. 99173 86.0 53.0 (+33.0)#96 53.0 (+33.0)#5,383
97. 99159 86.0 53.0 (+33.0)#97 53.0 (+33.0)#5,392
98. 99113 86.0 53.0 (+33.0)#98 53.0 (+33.0)#5,405
99. 98277 85.0 53.0 (+32.0)#99 53.0 (+32.0)#5,424
100. 99301 84.0 53.0 (+31.0)#100 53.0 (+31.0)#5,558

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Washington?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Washington are:
#1
1,000.0
#2
1,000.0
#3
714.0
#4
667.0
#5
568.0
#6
508.0
#7
472.0
#8
373.0
#9
365.0
#10
277.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Washington?
98616 has the Most Births per 1,000 Women Below Poverty Level in Washington with 1,000.0.
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.