Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma, WA

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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)
AfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAustralianAustrianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCanadianCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIrishIroquoisIsraeliItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLithuanianMacedonianMalaysianMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSerbianShoshoneSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSwedishSwissSyrianThaiTlingit-HaidaTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
Ancestry (Percentage)
AfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAustralianAustrianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCanadianCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIrishIroquoisIsraeliItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLithuanianMacedonianMalaysianMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSerbianShoshoneSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSwedishSwissSyrianThaiTlingit-HaidaTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
Immigrant Origin (Total)
AfricaArgentinaAsiaAustraliaBangladeshBelarusBelizeBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongIndiaIndonesiaIranIrelandIsraelItalyJamaicaJapanKazakhstanKenyaKoreaLaosLatin AmericaLatviaLiberiaMexicoMicronesiaMiddle AfricaMoldovaNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSwitzerlandTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZimbabwe
Immigrant Origin (Percentage)
AfricaArgentinaAsiaAustraliaBangladeshBelarusBelizeBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongIndiaIndonesiaIranIrelandIsraelItalyJamaicaJapanKazakhstanKenyaKoreaLaosLatin AmericaLatviaLiberiaMexicoMicronesiaMiddle AfricaMoldovaNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSwitzerlandTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
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Commute Means
School Enrollment
Education by Degree Field
Occupancy
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Physical Characteristics
Tacoma
Compare Zip Codes
Comparison Subject

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

0.0%
30.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma, WA

Zip Code Child Poverty (Girls) vs State vs National
1.9840926.8%12.0%(+14.8)#6517.0%(+9.85)#6,819
2.9843323.7%12.0%(+11.6)#8717.0%(+6.69)#8,084
3.9844422.2%12.0%(+10.1)#10017.0%(+5.19)#8,786
4.9844520.5%12.0%(+8.48)#11117.0%(+3.54)#9,590
5.9840420.0%12.0%(+8.00)#11717.0%(+3.05)#9,828
6.9844317.0%12.0%(+5.02)#15317.0%(+0.071)#11,488
7.9841815.1%12.0%(+3.08)#18117.0%(-1.87)#12,679
8.9840813.0%12.0%(+0.961)#21717.0%(-3.99)#14,117
9.9842211.4%12.0%(-0.641)#23417.0%(-5.59)#15,208
10.9840510.2%12.0%(-1.87)#25117.0%(-6.82)#16,129
11.984028.9%12.0%(-3.16)#27217.0%(-8.11)#17,138
12.984667.3%12.0%(-4.74)#29617.0%(-9.69)#18,467
13.984074.9%12.0%(-7.08)#33817.0%(-12.0)#20,476
14.984034.2%12.0%(-7.87)#36117.0%(-12.8)#21,178
15.984653.7%12.0%(-8.29)#37117.0%(-13.2)#21,550
16.984061.1%12.0%(-10.9)#42317.0%(-15.8)#23,695
17.984460.97%12.0%(-11.1)#42417.0%(-16.0)#23,799

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma, WA?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma, WA are:
#1
26.8%
#2
23.7%
#3
22.2%
#4
20.5%
#5
20.0%
#6
17.0%
#7
15.1%
#8
13.0%
#9
11.4%
#10
10.2%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma, WA?
98409 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Tacoma, WA with 26.8%.
What is the Poverty Level Among Girls Under the Age of 16 in Tacoma, WA?
Poverty Level Among Girls Under the Age of 16 in Tacoma is 15.0%.
What is the Poverty Level Among Girls Under the Age of 16 in 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%.