Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington

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Highest Poverty | Girls 0-16
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 Highest Child Poverty Level Among Girls Under the Age of 16 in Washington

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington

Zip Code Child Poverty (Girls) vs State vs National
1.98836100.0%12.0%(+88.0)#117.0%(+83.0)#45
2.98946100.0%12.0%(+88.0)#217.0%(+83.0)#169
3.98224100.0%12.0%(+88.0)#317.0%(+83.0)#252
4.9882992.7%12.0%(+80.7)#417.0%(+75.7)#420
5.9823582.4%12.0%(+70.3)#517.0%(+65.4)#544
6.9900880.9%12.0%(+68.8)#617.0%(+63.9)#574
7.9881977.8%12.0%(+65.7)#717.0%(+60.8)#644
8.9855270.6%12.0%(+58.6)#817.0%(+53.6)#823
9.9825666.7%12.0%(+54.6)#917.0%(+49.7)#962
10.9894364.9%12.0%(+52.8)#1017.0%(+47.9)#1,036
11.9859063.6%12.0%(+51.6)#1117.0%(+46.7)#1,090
12.9912661.9%12.0%(+49.9)#1217.0%(+44.9)#1,166
13.9884458.0%12.0%(+46.0)#1317.0%(+41.1)#1,401
14.9853057.6%12.0%(+45.5)#1417.0%(+40.6)#1,432
15.9856454.4%12.0%(+42.4)#1517.0%(+37.4)#1,665
16.9920152.0%12.0%(+39.9)#1617.0%(+35.0)#1,882
17.9884950.5%12.0%(+38.5)#1717.0%(+33.5)#2,008
18.9915146.2%12.0%(+34.1)#1817.0%(+29.2)#2,480
19.9893445.2%12.0%(+33.2)#1917.0%(+28.3)#2,574
20.9835544.9%12.0%(+32.9)#2017.0%(+28.0)#2,608
21.9914044.4%12.0%(+32.4)#2117.0%(+27.5)#2,671
22.9833143.9%12.0%(+31.9)#2217.0%(+27.0)#2,740
23.9859543.7%12.0%(+31.6)#2317.0%(+26.7)#2,787
24.9835043.2%12.0%(+31.2)#2417.0%(+26.3)#2,853
25.9895241.5%12.0%(+29.5)#2517.0%(+24.6)#3,103
26.9916741.2%12.0%(+29.1)#2617.0%(+24.2)#3,158
27.9900140.5%12.0%(+28.4)#2717.0%(+23.5)#3,292
28.9858740.2%12.0%(+28.2)#2817.0%(+23.3)#3,324
29.9910139.3%12.0%(+27.3)#2917.0%(+22.3)#3,492
30.9810439.1%12.0%(+27.1)#3017.0%(+22.2)#3,517
31.9836838.4%12.0%(+26.4)#3117.0%(+21.5)#3,648
32.9885538.1%12.0%(+26.0)#3217.0%(+21.1)#3,708
33.9893536.8%12.0%(+24.8)#3317.0%(+19.9)#3,972
34.9920236.8%12.0%(+24.8)#3417.0%(+19.8)#3,982
35.9893835.7%12.0%(+23.7)#3517.0%(+18.8)#4,219
36.9911934.9%12.0%(+22.8)#3617.0%(+17.9)#4,403
37.9902934.2%12.0%(+22.2)#3717.0%(+17.3)#4,557
38.9826134.1%12.0%(+22.1)#3817.0%(+17.2)#4,591
39.9861733.3%12.0%(+21.3)#3917.0%(+16.4)#4,781
40.9866033.1%12.0%(+21.0)#4017.0%(+16.1)#4,885
41.9856532.8%12.0%(+20.8)#4117.0%(+15.8)#4,953
42.9865032.4%12.0%(+20.4)#4217.0%(+15.4)#5,070
43.9940331.9%12.0%(+19.9)#4317.0%(+15.0)#5,191
44.9915531.9%12.0%(+19.9)#4417.0%(+14.9)#5,211
45.9825131.2%12.0%(+19.2)#4517.0%(+14.3)#5,384
46.9920731.2%12.0%(+19.1)#4617.0%(+14.2)#5,402
47.9825730.7%12.0%(+18.7)#4717.0%(+13.8)#5,535
48.9886230.7%12.0%(+18.6)#4817.0%(+13.7)#5,548
49.9857630.6%12.0%(+18.6)#4917.0%(+13.6)#5,561
50.9935730.3%12.0%(+18.3)#5017.0%(+13.3)#5,658
51.9864030.1%12.0%(+18.1)#5117.0%(+13.1)#5,714
52.9912429.4%12.0%(+17.4)#5217.0%(+12.4)#5,928
53.9826629.1%12.0%(+17.0)#5317.0%(+12.1)#6,037
54.9827328.8%12.0%(+16.8)#5417.0%(+11.8)#6,127
55.9856328.6%12.0%(+16.6)#5517.0%(+11.6)#6,169
56.9867328.6%12.0%(+16.5)#5617.0%(+11.6)#6,191
57.9894828.3%12.0%(+16.3)#5717.0%(+11.3)#6,294
58.9823727.5%12.0%(+15.5)#5817.0%(+10.5)#6,571
59.9934827.3%12.0%(+15.3)#5917.0%(+10.3)#6,640
60.9803727.3%12.0%(+15.3)#6017.0%(+10.3)#6,641
61.9884027.2%12.0%(+15.1)#6117.0%(+10.2)#6,697
62.9803227.1%12.0%(+15.1)#6217.0%(+10.2)#6,708
63.9934427.1%12.0%(+15.1)#6317.0%(+10.1)#6,717
64.9883027.0%12.0%(+15.0)#6417.0%(+10.1)#6,746
65.9840926.8%12.0%(+14.8)#6517.0%(+9.85)#6,819
66.9884126.6%12.0%(+14.6)#6617.0%(+9.62)#6,897
67.9902126.5%12.0%(+14.5)#6717.0%(+9.52)#6,932
68.9858426.0%12.0%(+14.0)#6817.0%(+9.07)#7,098
69.9895125.9%12.0%(+13.8)#6917.0%(+8.90)#7,163
70.9921825.8%12.0%(+13.8)#7017.0%(+8.87)#7,173
71.9816825.6%12.0%(+13.6)#7117.0%(+8.66)#7,280
72.9890325.6%12.0%(+13.6)#7217.0%(+8.66)#7,282
73.9904025.6%12.0%(+13.6)#7317.0%(+8.61)#7,300
74.9835725.5%12.0%(+13.5)#7417.0%(+8.53)#7,330
75.9912925.5%12.0%(+13.5)#7517.0%(+8.51)#7,337
76.9890125.3%12.0%(+13.3)#7617.0%(+8.33)#7,408
77.9892225.1%12.0%(+13.0)#7717.0%(+8.08)#7,493
78.9812224.9%12.0%(+12.8)#7817.0%(+7.90)#7,621
79.9859324.7%12.0%(+12.7)#7917.0%(+7.77)#7,665
80.9852024.7%12.0%(+12.7)#8017.0%(+7.75)#7,670
81.9834224.7%12.0%(+12.7)#8117.0%(+7.73)#7,680
82.9884824.5%12.0%(+12.4)#8217.0%(+7.48)#7,767
83.9934124.4%12.0%(+12.4)#8317.0%(+7.41)#7,797
84.9800324.3%12.0%(+12.3)#8417.0%(+7.31)#7,847
85.9810824.2%12.0%(+12.2)#8517.0%(+7.21)#7,884
86.9933624.0%12.0%(+12.0)#8617.0%(+7.07)#7,926
87.9843323.7%12.0%(+11.6)#8717.0%(+6.69)#8,084
88.9836523.2%12.0%(+11.2)#8817.0%(+6.21)#8,289
89.9827623.1%12.0%(+11.1)#8917.0%(+6.15)#8,305
90.9912323.1%12.0%(+11.0)#9017.0%(+6.10)#8,336
91.9912123.1%12.0%(+11.0)#9117.0%(+6.10)#8,349
92.9825523.1%12.0%(+11.0)#9217.0%(+6.10)#8,350
93.9854123.1%12.0%(+11.0)#9317.0%(+6.09)#8,355
94.9881322.9%12.0%(+10.9)#9417.0%(+5.96)#8,418
95.9884322.7%12.0%(+10.7)#9517.0%(+5.75)#8,501
96.9839422.7%12.0%(+10.6)#9617.0%(+5.69)#8,539
97.9895322.4%12.0%(+10.4)#9717.0%(+5.46)#8,635
98.9861222.3%12.0%(+10.2)#9817.0%(+5.29)#8,714
99.9911822.2%12.0%(+10.2)#9917.0%(+5.25)#8,743
100.9844422.2%12.0%(+10.1)#10017.0%(+5.19)#8,786

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
92.7%
#5
82.4%
#6
80.9%
#7
77.8%
#8
70.6%
#9
66.7%
#10
64.9%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington?
98836 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Washington with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Washington?
Poverty Level Among Girls Under the Age of 16 in Washington is 12.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.