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
1.986161,000.053.0(+947)#153.0(+947)#48
2.991051,000.053.0(+947)#253.0(+947)#55
3.98819714.053.0(+661)#353.0(+661)#83
4.99333667.053.0(+614)#453.0(+614)#104
5.98643568.053.0(+515)#553.0(+515)#140
6.98859508.053.0(+455)#653.0(+455)#167
7.99330472.053.0(+419)#753.0(+419)#194
8.99180373.053.0(+320)#853.0(+320)#302
9.99137365.053.0(+312)#953.0(+312)#313
10.98812277.053.0(+224)#1053.0(+224)#539
11.98938256.053.0(+203)#1153.0(+203)#625
12.99152250.053.0(+197)#1253.0(+197)#661
13.99356245.053.0(+192)#1353.0(+192)#692
14.99181216.053.0(+163)#1453.0(+163)#854
15.99126201.053.0(+148)#1553.0(+148)#970
16.98844182.053.0(+129)#1653.0(+129)#1,188
17.98833182.053.0(+129)#1753.0(+129)#1,200
18.99124175.053.0(+122)#1853.0(+122)#1,287
19.99179173.053.0(+120)#1953.0(+120)#1,320
20.99011172.053.0(+119)#2053.0(+119)#1,328
21.98862170.053.0(+117)#2153.0(+117)#1,363
22.98433167.053.0(+114)#2253.0(+114)#1,416
23.99013160.053.0(+107)#2353.0(+107)#1,554
24.98396158.053.0(+105)#2453.0(+105)#1,603
25.98593155.053.0(+102)#2553.0(+102)#1,650
26.99129147.053.0(+94.0)#2653.0(+94.0)#1,819
27.98315145.053.0(+92.0)#2753.0(+92.0)#1,855
28.98596144.053.0(+91.0)#2853.0(+91.0)#1,882
29.99156139.053.0(+86.0)#2953.0(+86.0)#2,014
30.99170137.053.0(+84.0)#3053.0(+84.0)#2,098
31.99009134.053.0(+81.0)#3153.0(+81.0)#2,190
32.98564134.053.0(+81.0)#3253.0(+81.0)#2,195
33.99341134.053.0(+81.0)#3353.0(+81.0)#2,206
34.98565133.053.0(+80.0)#3453.0(+80.0)#2,243
35.98674126.053.0(+73.0)#3553.0(+73.0)#2,475
36.98860125.053.0(+72.0)#3653.0(+72.0)#2,544
37.98848123.053.0(+70.0)#3753.0(+70.0)#2,601
38.98388121.053.0(+68.0)#3853.0(+68.0)#2,694
39.98283119.053.0(+66.0)#3953.0(+66.0)#2,799
40.98932118.053.0(+65.0)#4053.0(+65.0)#2,812
41.99122118.053.0(+65.0)#4153.0(+65.0)#2,815
42.98591118.053.0(+65.0)#4253.0(+65.0)#2,817
43.99140118.053.0(+65.0)#4353.0(+65.0)#2,851
44.99158117.053.0(+64.0)#4453.0(+64.0)#2,905
45.99001114.053.0(+61.0)#4553.0(+61.0)#3,025
46.98255114.053.0(+61.0)#4653.0(+61.0)#3,062
47.98953113.053.0(+60.0)#4753.0(+60.0)#3,078
48.99101112.053.0(+59.0)#4853.0(+59.0)#3,158
49.98057111.053.0(+58.0)#4953.0(+58.0)#3,184
50.98936111.053.0(+58.0)#5053.0(+58.0)#3,189
51.98570111.053.0(+58.0)#5153.0(+58.0)#3,195
52.99328111.053.0(+58.0)#5253.0(+58.0)#3,199
53.98563110.053.0(+57.0)#5353.0(+57.0)#3,261
54.98628109.053.0(+56.0)#5453.0(+56.0)#3,351
55.98675108.053.0(+55.0)#5553.0(+55.0)#3,384
56.98524108.053.0(+55.0)#5653.0(+55.0)#3,394
57.98586108.053.0(+55.0)#5753.0(+55.0)#3,404
58.98323108.053.0(+55.0)#5853.0(+55.0)#3,419
59.98077104.053.0(+51.0)#5953.0(+51.0)#3,643
60.98937104.053.0(+51.0)#6053.0(+51.0)#3,663
61.98650104.053.0(+51.0)#6153.0(+51.0)#3,685
62.98332103.053.0(+50.0)#6253.0(+50.0)#3,707
63.99130101.053.0(+48.0)#6353.0(+48.0)#3,907
64.98541100.053.0(+47.0)#6453.0(+47.0)#3,934
65.9901798.053.0(+45.0)#6553.0(+45.0)#4,181
66.9805197.053.0(+44.0)#6653.0(+44.0)#4,223
67.9932496.053.0(+43.0)#6753.0(+43.0)#4,307
68.9862096.053.0(+43.0)#6853.0(+43.0)#4,312
69.9881596.053.0(+43.0)#6953.0(+43.0)#4,313
70.9934796.053.0(+43.0)#7053.0(+43.0)#4,342
71.9902996.053.0(+43.0)#7153.0(+43.0)#4,349
72.9840495.053.0(+42.0)#7253.0(+42.0)#4,372
73.9803795.053.0(+42.0)#7353.0(+42.0)#4,374
74.9853095.053.0(+42.0)#7453.0(+42.0)#4,464
75.9932094.053.0(+41.0)#7553.0(+41.0)#4,504
76.9846594.053.0(+41.0)#7653.0(+41.0)#4,509
77.9802494.053.0(+41.0)#7753.0(+41.0)#4,520
78.9863194.053.0(+41.0)#7853.0(+41.0)#4,523
79.9911094.053.0(+41.0)#7953.0(+41.0)#4,542
80.9824893.053.0(+40.0)#8053.0(+40.0)#4,568
81.9805593.053.0(+40.0)#8153.0(+40.0)#4,570
82.9932393.053.0(+40.0)#8253.0(+40.0)#4,599
83.9828193.053.0(+40.0)#8353.0(+40.0)#4,625
84.9840992.053.0(+39.0)#8453.0(+39.0)#4,656
85.9831091.053.0(+38.0)#8553.0(+38.0)#4,757
86.9934891.053.0(+38.0)#8653.0(+38.0)#4,819
87.9816690.053.0(+37.0)#8753.0(+37.0)#4,868
88.9895290.053.0(+37.0)#8853.0(+37.0)#4,932
89.9932989.053.0(+36.0)#8953.0(+36.0)#5,054
90.9823088.053.0(+35.0)#9053.0(+35.0)#5,075
91.9859588.053.0(+35.0)#9153.0(+35.0)#5,113
92.9862987.053.0(+34.0)#9253.0(+34.0)#5,217
93.9933587.053.0(+34.0)#9353.0(+34.0)#5,304
94.9853186.053.0(+33.0)#9453.0(+33.0)#5,314
95.9843986.053.0(+33.0)#9553.0(+33.0)#5,359
96.9917386.053.0(+33.0)#9653.0(+33.0)#5,383
97.9915986.053.0(+33.0)#9753.0(+33.0)#5,392
98.9911386.053.0(+33.0)#9853.0(+33.0)#5,405
99.9827785.053.0(+32.0)#9953.0(+32.0)#5,424
100.9930184.053.0(+31.0)#10053.0(+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.