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

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Highest 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 Most Births per 1,000 Women in Labor Force in Washington

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Washington Map

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

Zip Code Births / 1,000 Women vs State vs National
1.991521,000.045.0(+955)#148.0(+952)#27
2.98643656.045.0(+611)#248.0(+608)#96
3.99126639.045.0(+594)#348.0(+591)#103
4.98859524.045.0(+479)#448.0(+476)#146
5.99180392.045.0(+347)#548.0(+344)#270
6.98938333.045.0(+288)#648.0(+285)#371
7.99330319.045.0(+274)#748.0(+271)#419
8.99017300.045.0(+255)#848.0(+252)#469
9.98255257.045.0(+212)#948.0(+209)#627
10.98812251.045.0(+206)#1048.0(+203)#641
11.98586197.045.0(+152)#1148.0(+149)#1,035
12.98396196.045.0(+151)#1248.0(+148)#1,051
13.99129195.045.0(+150)#1348.0(+147)#1,065
14.99179189.045.0(+144)#1448.0(+141)#1,106
15.98833182.045.0(+137)#1548.0(+134)#1,191
16.99158169.045.0(+124)#1648.0(+121)#1,355
17.98591168.045.0(+123)#1748.0(+120)#1,358
18.99018167.045.0(+122)#1848.0(+119)#1,399
19.98953156.045.0(+111)#1948.0(+108)#1,562
20.98932156.045.0(+111)#2048.0(+108)#1,566
21.99347156.045.0(+111)#2148.0(+108)#1,569
22.99181152.045.0(+107)#2248.0(+104)#1,640
23.98650152.045.0(+107)#2348.0(+104)#1,645
24.99009144.045.0(+99.0)#2448.0(+96.0)#1,797
25.98564142.045.0(+97.0)#2548.0(+94.0)#1,865
26.98524140.045.0(+95.0)#2648.0(+92.0)#1,894
27.98937138.045.0(+93.0)#2748.0(+90.0)#1,957
28.99345136.045.0(+91.0)#2848.0(+88.0)#2,034
29.98077135.045.0(+90.0)#2948.0(+87.0)#2,037
30.98620129.045.0(+84.0)#3048.0(+81.0)#2,207
31.98952124.045.0(+79.0)#3148.0(+76.0)#2,399
32.99110119.045.0(+74.0)#3248.0(+71.0)#2,569
33.99170119.045.0(+74.0)#3348.0(+71.0)#2,573
34.99137118.045.0(+73.0)#3448.0(+70.0)#2,617
35.98350114.045.0(+69.0)#3548.0(+66.0)#2,786
36.98024112.045.0(+67.0)#3648.0(+64.0)#2,840
37.98433110.045.0(+65.0)#3748.0(+62.0)#2,944
38.98380109.045.0(+64.0)#3848.0(+61.0)#3,003
39.98631108.045.0(+63.0)#3948.0(+60.0)#3,065
40.98848105.045.0(+60.0)#4048.0(+57.0)#3,189
41.99029105.045.0(+60.0)#4148.0(+57.0)#3,227
42.98834105.045.0(+60.0)#4248.0(+57.0)#3,242
43.99130104.045.0(+59.0)#4348.0(+56.0)#3,289
44.99128103.045.0(+58.0)#4448.0(+55.0)#3,364
45.9859699.045.0(+54.0)#4548.0(+51.0)#3,568
46.9912299.045.0(+54.0)#4648.0(+51.0)#3,580
47.9911399.045.0(+54.0)#4748.0(+51.0)#3,609
48.9934898.045.0(+53.0)#4848.0(+50.0)#3,663
49.9840997.045.0(+52.0)#4948.0(+49.0)#3,688
50.9864596.045.0(+51.0)#5048.0(+48.0)#3,803
51.9823095.045.0(+50.0)#5148.0(+47.0)#3,836
52.9856995.045.0(+50.0)#5248.0(+47.0)#3,848
53.9933595.045.0(+50.0)#5348.0(+47.0)#3,885
54.9914893.045.0(+48.0)#5448.0(+45.0)#4,003
55.9837392.045.0(+47.0)#5548.0(+44.0)#4,036
56.9853092.045.0(+47.0)#5648.0(+44.0)#4,098
57.9835791.045.0(+46.0)#5748.0(+43.0)#4,168
58.9901291.045.0(+46.0)#5848.0(+43.0)#4,174
59.9886091.045.0(+46.0)#5948.0(+43.0)#4,195
60.9862490.045.0(+45.0)#6048.0(+42.0)#4,267
61.9903190.045.0(+45.0)#6148.0(+42.0)#4,279
62.9883088.045.0(+43.0)#6248.0(+40.0)#4,475
63.9893687.045.0(+42.0)#6348.0(+39.0)#4,525
64.9901187.045.0(+42.0)#6448.0(+39.0)#4,547
65.9885887.045.0(+42.0)#6548.0(+39.0)#4,562
66.9915686.045.0(+41.0)#6648.0(+38.0)#4,619
67.9825186.045.0(+41.0)#6748.0(+38.0)#4,635
68.9893385.045.0(+40.0)#6848.0(+37.0)#4,776
69.9801084.045.0(+39.0)#6948.0(+36.0)#4,834
70.9864282.045.0(+37.0)#7048.0(+34.0)#5,016
71.9805782.045.0(+37.0)#7148.0(+34.0)#5,038
72.9831181.045.0(+36.0)#7248.0(+33.0)#5,144
73.9890380.045.0(+35.0)#7348.0(+32.0)#5,266
74.9865180.045.0(+35.0)#7448.0(+32.0)#5,339
75.9822379.045.0(+34.0)#7548.0(+31.0)#5,359
76.9853178.045.0(+33.0)#7648.0(+30.0)#5,492
77.9802078.045.0(+33.0)#7748.0(+30.0)#5,502
78.9859578.045.0(+33.0)#7848.0(+30.0)#5,559
79.9936178.045.0(+33.0)#7948.0(+30.0)#5,579
80.9800277.045.0(+32.0)#8048.0(+29.0)#5,611
81.9849877.045.0(+32.0)#8148.0(+29.0)#5,616
82.9834277.045.0(+32.0)#8248.0(+29.0)#5,717
83.9935677.045.0(+32.0)#8348.0(+29.0)#5,731
84.9930176.045.0(+31.0)#8448.0(+28.0)#5,740
85.9837476.045.0(+31.0)#8548.0(+28.0)#5,746
86.9803776.045.0(+31.0)#8648.0(+28.0)#5,765
87.9816676.045.0(+31.0)#8748.0(+28.0)#5,780
88.9921775.045.0(+30.0)#8848.0(+27.0)#5,908
89.9932474.045.0(+29.0)#8948.0(+26.0)#6,063
90.9932074.045.0(+29.0)#9048.0(+26.0)#6,064
91.9885574.045.0(+29.0)#9148.0(+26.0)#6,087
92.9903974.045.0(+29.0)#9248.0(+26.0)#6,165
93.9890873.045.0(+28.0)#9348.0(+25.0)#6,175
94.9867573.045.0(+28.0)#9448.0(+25.0)#6,242
95.9849972.045.0(+27.0)#9548.0(+24.0)#6,335
96.9837571.045.0(+26.0)#9648.0(+23.0)#6,508
97.9811870.045.0(+25.0)#9748.0(+22.0)#6,659
98.9840470.045.0(+25.0)#9848.0(+22.0)#6,673
99.9838769.045.0(+24.0)#9948.0(+21.0)#6,824
100.9883769.045.0(+24.0)#10048.0(+21.0)#6,828

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Washington?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Washington are:
#1
1,000.0
#2
656.0
#3
639.0
#4
524.0
#5
392.0
#6
333.0
#7
319.0
#8
300.0
#9
257.0
#10
251.0
What zip code has the Most Births per 1,000 Women in Labor Force in Washington?
99152 has the Most Births per 1,000 Women in Labor Force in Washington with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Washington?
Number of Births per 1,000 Women in Labor Force in Washington is 45.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.