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

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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

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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
1.984183.045.0(-42.0)#148.0(-45.0)#55
2.990365.045.0(-40.0)#248.0(-43.0)#225
3.985416.045.0(-39.0)#348.0(-42.0)#252
4.986487.045.0(-38.0)#448.0(-41.0)#370
5.984398.045.0(-37.0)#548.0(-40.0)#464
6.981029.045.0(-36.0)#648.0(-39.0)#555
7.990199.045.0(-36.0)#748.0(-39.0)#574
8.983549.045.0(-36.0)#848.0(-39.0)#589
9.982609.045.0(-36.0)#948.0(-39.0)#598
10.9827510.045.0(-35.0)#1048.0(-38.0)#686
11.9861210.045.0(-35.0)#1148.0(-38.0)#771
12.9810411.045.0(-34.0)#1248.0(-37.0)#852
13.9932611.045.0(-34.0)#1348.0(-37.0)#896
14.9804312.045.0(-33.0)#1448.0(-36.0)#1,009
15.9822513.045.0(-32.0)#1548.0(-35.0)#1,161
16.9900413.045.0(-32.0)#1648.0(-35.0)#1,176
17.9902213.045.0(-32.0)#1748.0(-35.0)#1,226
18.9844313.045.0(-32.0)#1848.0(-35.0)#1,249
19.9935014.045.0(-31.0)#1948.0(-34.0)#1,385
20.9920414.045.0(-31.0)#2048.0(-34.0)#1,418
21.9915514.045.0(-31.0)#2148.0(-34.0)#1,515
22.9824415.045.0(-30.0)#2248.0(-33.0)#1,649
23.9827615.045.0(-30.0)#2348.0(-33.0)#1,689
24.9911915.045.0(-30.0)#2448.0(-33.0)#1,692
25.9850316.045.0(-29.0)#2548.0(-32.0)#1,731
26.9810716.045.0(-29.0)#2648.0(-32.0)#1,746
27.9811216.045.0(-29.0)#2748.0(-32.0)#1,755
28.9810917.045.0(-28.0)#2848.0(-31.0)#1,940
29.9850617.045.0(-28.0)#2948.0(-31.0)#1,958
30.9806517.045.0(-28.0)#3048.0(-31.0)#1,963
31.9852817.045.0(-28.0)#3148.0(-31.0)#1,975
32.9810518.045.0(-27.0)#3248.0(-30.0)#2,113
33.9807518.045.0(-27.0)#3348.0(-30.0)#2,143
34.9934918.045.0(-27.0)#3448.0(-30.0)#2,204
35.9940218.045.0(-27.0)#3548.0(-30.0)#2,283
36.9811919.045.0(-26.0)#3648.0(-29.0)#2,349
37.9867119.045.0(-26.0)#3748.0(-29.0)#2,354
38.9812119.045.0(-26.0)#3848.0(-29.0)#2,361
39.9832919.045.0(-26.0)#3948.0(-29.0)#2,401
40.9857619.045.0(-26.0)#4048.0(-29.0)#2,450
41.9932319.045.0(-26.0)#4148.0(-29.0)#2,457
42.9911119.045.0(-26.0)#4248.0(-29.0)#2,461
43.9881319.045.0(-26.0)#4348.0(-29.0)#2,471
44.9833820.045.0(-25.0)#4448.0(-28.0)#2,564
45.9838220.045.0(-25.0)#4548.0(-28.0)#2,568
46.9810120.045.0(-25.0)#4648.0(-28.0)#2,610
47.9801920.045.0(-25.0)#4748.0(-28.0)#2,640
48.9858920.045.0(-25.0)#4848.0(-28.0)#2,669
49.9823620.045.0(-25.0)#4948.0(-28.0)#2,673
50.9884020.045.0(-25.0)#5048.0(-28.0)#2,699
51.9893520.045.0(-25.0)#5148.0(-28.0)#2,706
52.9884320.045.0(-25.0)#5248.0(-28.0)#2,738
53.9916321.045.0(-24.0)#5348.0(-27.0)#2,821
54.9800721.045.0(-24.0)#5448.0(-27.0)#2,834
55.9828221.045.0(-24.0)#5548.0(-27.0)#2,869
56.9856821.045.0(-24.0)#5648.0(-27.0)#2,992
57.9933822.045.0(-23.0)#5748.0(-26.0)#3,131
58.9867222.045.0(-23.0)#5848.0(-26.0)#3,189
59.9857022.045.0(-23.0)#5948.0(-26.0)#3,214
60.9883122.045.0(-23.0)#6048.0(-26.0)#3,220
61.9903222.045.0(-23.0)#6148.0(-26.0)#3,282
62.9936223.045.0(-22.0)#6248.0(-25.0)#3,327
63.9804023.045.0(-22.0)#6348.0(-25.0)#3,357
64.9810324.045.0(-21.0)#6448.0(-24.0)#3,579
65.9812224.045.0(-21.0)#6548.0(-24.0)#3,589
66.9850224.045.0(-21.0)#6648.0(-24.0)#3,599
67.9802924.045.0(-21.0)#6748.0(-24.0)#3,611
68.9833524.045.0(-21.0)#6848.0(-24.0)#3,623
69.9882224.045.0(-21.0)#6948.0(-24.0)#3,801
70.9851225.045.0(-20.0)#7048.0(-23.0)#3,898
71.9846625.045.0(-20.0)#7148.0(-23.0)#3,899
72.9837225.045.0(-20.0)#7248.0(-23.0)#3,919
73.9855025.045.0(-20.0)#7348.0(-23.0)#3,982
74.9900525.045.0(-20.0)#7448.0(-23.0)#3,993
75.9820126.045.0(-19.0)#7548.0(-22.0)#4,188
76.9857926.045.0(-19.0)#7648.0(-22.0)#4,245
77.9911426.045.0(-19.0)#7748.0(-22.0)#4,255
78.9855726.045.0(-19.0)#7848.0(-22.0)#4,334
79.9860526.045.0(-19.0)#7948.0(-22.0)#4,392
80.9868427.045.0(-18.0)#8048.0(-21.0)#4,478
81.9836227.045.0(-18.0)#8148.0(-21.0)#4,511
82.9840627.045.0(-18.0)#8248.0(-21.0)#4,517
83.9844627.045.0(-18.0)#8348.0(-21.0)#4,569
84.9825227.045.0(-18.0)#8448.0(-21.0)#4,589
85.9833127.045.0(-18.0)#8548.0(-21.0)#4,621
86.9812528.045.0(-17.0)#8648.0(-20.0)#4,751
87.9836728.045.0(-17.0)#8748.0(-20.0)#4,786
88.9801128.045.0(-17.0)#8848.0(-20.0)#4,796
89.9817728.045.0(-17.0)#8948.0(-20.0)#4,823
90.9832128.045.0(-17.0)#9048.0(-20.0)#4,842
91.9882628.045.0(-17.0)#9148.0(-20.0)#4,892
92.9856328.045.0(-17.0)#9248.0(-20.0)#4,894
93.9913828.045.0(-17.0)#9348.0(-20.0)#4,998
94.9800429.045.0(-16.0)#9448.0(-19.0)#5,046
95.9861129.045.0(-16.0)#9548.0(-19.0)#5,153
96.9808730.045.0(-15.0)#9648.0(-18.0)#5,347
97.9866230.045.0(-15.0)#9748.0(-18.0)#5,359
98.9814430.045.0(-15.0)#9848.0(-18.0)#5,363
99.9892630.045.0(-15.0)#9948.0(-18.0)#5,366
100.9882330.045.0(-15.0)#10048.0(-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.