Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Washington

RELATED REPORTS & OPTIONS

Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in Washington

30.0
0.0
Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Washington Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Washington

Zip Code Births / 1,000 Women vs State vs National
1. 98418 3.0 45.0 (-42.0)#1 48.0 (-45.0)#55
2. 99036 5.0 45.0 (-40.0)#2 48.0 (-43.0)#225
3. 98541 6.0 45.0 (-39.0)#3 48.0 (-42.0)#252
4. 98648 7.0 45.0 (-38.0)#4 48.0 (-41.0)#370
5. 98439 8.0 45.0 (-37.0)#5 48.0 (-40.0)#464
6. 98102 9.0 45.0 (-36.0)#6 48.0 (-39.0)#555
7. 99019 9.0 45.0 (-36.0)#7 48.0 (-39.0)#574
8. 98354 9.0 45.0 (-36.0)#8 48.0 (-39.0)#589
9. 98260 9.0 45.0 (-36.0)#9 48.0 (-39.0)#598
10. 98275 10.0 45.0 (-35.0)#10 48.0 (-38.0)#686
11. 98612 10.0 45.0 (-35.0)#11 48.0 (-38.0)#771
12. 98104 11.0 45.0 (-34.0)#12 48.0 (-37.0)#852
13. 99326 11.0 45.0 (-34.0)#13 48.0 (-37.0)#896
14. 98043 12.0 45.0 (-33.0)#14 48.0 (-36.0)#1,009
15. 98225 13.0 45.0 (-32.0)#15 48.0 (-35.0)#1,161
16. 99004 13.0 45.0 (-32.0)#16 48.0 (-35.0)#1,176
17. 99022 13.0 45.0 (-32.0)#17 48.0 (-35.0)#1,226
18. 98443 13.0 45.0 (-32.0)#18 48.0 (-35.0)#1,249
19. 99350 14.0 45.0 (-31.0)#19 48.0 (-34.0)#1,385
20. 99204 14.0 45.0 (-31.0)#20 48.0 (-34.0)#1,418
21. 99155 14.0 45.0 (-31.0)#21 48.0 (-34.0)#1,515
22. 98244 15.0 45.0 (-30.0)#22 48.0 (-33.0)#1,649
23. 98276 15.0 45.0 (-30.0)#23 48.0 (-33.0)#1,689
24. 99119 15.0 45.0 (-30.0)#24 48.0 (-33.0)#1,692
25. 98503 16.0 45.0 (-29.0)#25 48.0 (-32.0)#1,731
26. 98107 16.0 45.0 (-29.0)#26 48.0 (-32.0)#1,746
27. 98112 16.0 45.0 (-29.0)#27 48.0 (-32.0)#1,755
28. 98109 17.0 45.0 (-28.0)#28 48.0 (-31.0)#1,940
29. 98506 17.0 45.0 (-28.0)#29 48.0 (-31.0)#1,958
30. 98065 17.0 45.0 (-28.0)#30 48.0 (-31.0)#1,963
31. 98528 17.0 45.0 (-28.0)#31 48.0 (-31.0)#1,975
32. 98105 18.0 45.0 (-27.0)#32 48.0 (-30.0)#2,113
33. 98075 18.0 45.0 (-27.0)#33 48.0 (-30.0)#2,143
34. 99349 18.0 45.0 (-27.0)#34 48.0 (-30.0)#2,204
35. 99402 18.0 45.0 (-27.0)#35 48.0 (-30.0)#2,283
36. 98119 19.0 45.0 (-26.0)#36 48.0 (-29.0)#2,349
37. 98671 19.0 45.0 (-26.0)#37 48.0 (-29.0)#2,354
38. 98121 19.0 45.0 (-26.0)#38 48.0 (-29.0)#2,361
39. 98329 19.0 45.0 (-26.0)#39 48.0 (-29.0)#2,401
40. 98576 19.0 45.0 (-26.0)#40 48.0 (-29.0)#2,450
41. 99323 19.0 45.0 (-26.0)#41 48.0 (-29.0)#2,457
42. 99111 19.0 45.0 (-26.0)#42 48.0 (-29.0)#2,461
43. 98813 19.0 45.0 (-26.0)#43 48.0 (-29.0)#2,471
44. 98338 20.0 45.0 (-25.0)#44 48.0 (-28.0)#2,564
45. 98382 20.0 45.0 (-25.0)#45 48.0 (-28.0)#2,568
46. 98101 20.0 45.0 (-25.0)#46 48.0 (-28.0)#2,610
47. 98019 20.0 45.0 (-25.0)#47 48.0 (-28.0)#2,640
48. 98589 20.0 45.0 (-25.0)#48 48.0 (-28.0)#2,669
49. 98236 20.0 45.0 (-25.0)#49 48.0 (-28.0)#2,673
50. 98840 20.0 45.0 (-25.0)#50 48.0 (-28.0)#2,699
51. 98935 20.0 45.0 (-25.0)#51 48.0 (-28.0)#2,706
52. 98843 20.0 45.0 (-25.0)#52 48.0 (-28.0)#2,738
53. 99163 21.0 45.0 (-24.0)#53 48.0 (-27.0)#2,821
54. 98007 21.0 45.0 (-24.0)#54 48.0 (-27.0)#2,834
55. 98282 21.0 45.0 (-24.0)#55 48.0 (-27.0)#2,869
56. 98568 21.0 45.0 (-24.0)#56 48.0 (-27.0)#2,992
57. 99338 22.0 45.0 (-23.0)#57 48.0 (-26.0)#3,131
58. 98672 22.0 45.0 (-23.0)#58 48.0 (-26.0)#3,189
59. 98570 22.0 45.0 (-23.0)#59 48.0 (-26.0)#3,214
60. 98831 22.0 45.0 (-23.0)#60 48.0 (-26.0)#3,220
61. 99032 22.0 45.0 (-23.0)#61 48.0 (-26.0)#3,282
62. 99362 23.0 45.0 (-22.0)#62 48.0 (-25.0)#3,327
63. 98040 23.0 45.0 (-22.0)#63 48.0 (-25.0)#3,357
64. 98103 24.0 45.0 (-21.0)#64 48.0 (-24.0)#3,579
65. 98122 24.0 45.0 (-21.0)#65 48.0 (-24.0)#3,589
66. 98502 24.0 45.0 (-21.0)#66 48.0 (-24.0)#3,599
67. 98029 24.0 45.0 (-21.0)#67 48.0 (-24.0)#3,611
68. 98335 24.0 45.0 (-21.0)#68 48.0 (-24.0)#3,623
69. 98822 24.0 45.0 (-21.0)#69 48.0 (-24.0)#3,801
70. 98512 25.0 45.0 (-20.0)#70 48.0 (-23.0)#3,898
71. 98466 25.0 45.0 (-20.0)#71 48.0 (-23.0)#3,899
72. 98372 25.0 45.0 (-20.0)#72 48.0 (-23.0)#3,919
73. 98550 25.0 45.0 (-20.0)#73 48.0 (-23.0)#3,982
74. 99005 25.0 45.0 (-20.0)#74 48.0 (-23.0)#3,993
75. 98201 26.0 45.0 (-19.0)#75 48.0 (-22.0)#4,188
76. 98579 26.0 45.0 (-19.0)#76 48.0 (-22.0)#4,245
77. 99114 26.0 45.0 (-19.0)#77 48.0 (-22.0)#4,255
78. 98557 26.0 45.0 (-19.0)#78 48.0 (-22.0)#4,334
79. 98605 26.0 45.0 (-19.0)#79 48.0 (-22.0)#4,392
80. 98684 27.0 45.0 (-18.0)#80 48.0 (-21.0)#4,478
81. 98362 27.0 45.0 (-18.0)#81 48.0 (-21.0)#4,511
82. 98406 27.0 45.0 (-18.0)#82 48.0 (-21.0)#4,517
83. 98446 27.0 45.0 (-18.0)#83 48.0 (-21.0)#4,569
84. 98252 27.0 45.0 (-18.0)#84 48.0 (-21.0)#4,589
85. 98331 27.0 45.0 (-18.0)#85 48.0 (-21.0)#4,621
86. 98125 28.0 45.0 (-17.0)#86 48.0 (-20.0)#4,751
87. 98367 28.0 45.0 (-17.0)#87 48.0 (-20.0)#4,786
88. 98011 28.0 45.0 (-17.0)#88 48.0 (-20.0)#4,796
89. 98177 28.0 45.0 (-17.0)#89 48.0 (-20.0)#4,823
90. 98321 28.0 45.0 (-17.0)#90 48.0 (-20.0)#4,842
91. 98826 28.0 45.0 (-17.0)#91 48.0 (-20.0)#4,892
92. 98563 28.0 45.0 (-17.0)#92 48.0 (-20.0)#4,894
93. 99138 28.0 45.0 (-17.0)#93 48.0 (-20.0)#4,998
94. 98004 29.0 45.0 (-16.0)#94 48.0 (-19.0)#5,046
95. 98611 29.0 45.0 (-16.0)#95 48.0 (-19.0)#5,153
96. 98087 30.0 45.0 (-15.0)#96 48.0 (-18.0)#5,347
97. 98662 30.0 45.0 (-15.0)#97 48.0 (-18.0)#5,359
98. 98144 30.0 45.0 (-15.0)#98 48.0 (-18.0)#5,363
99. 98926 30.0 45.0 (-15.0)#99 48.0 (-18.0)#5,366
100. 98823 30.0 45.0 (-15.0)#100 48.0 (-18.0)#5,457

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Washington?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Washington are:
#1
3.0
#2
5.0
#3
6.0
#4
7.0
#5
8.0
#6
9.0
#7
9.0
#8
9.0
#9
9.0
#10
10.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Washington?
98418 has the Lowest Births per 1,000 Women in Labor Force in Washington with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Washington?
Number Births per 1,000 Women in Labor Force in Washington is 45.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.