Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA

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Highest Poverty | Female 25-34
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
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Tacoma
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma

1.7%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA

Zip Code Female Poverty vs State vs National
1. 98421 100.0% 11.7% (+88.3)#2 14.5% (+85.5)#105
2. 98402 29.5% 11.7% (+17.8)#61 14.5% (+15.0)#4,847
3. 98444 22.9% 11.7% (+11.2)#102 14.5% (+8.41)#7,263
4. 98445 16.9% 11.7% (+5.15)#162 14.5% (+2.40)#10,681
5. 98404 16.8% 11.7% (+5.01)#165 14.5% (+2.26)#10,758
6. 98433 14.2% 11.7% (+2.47)#208 14.5% (-0.282)#12,576
7. 98418 13.5% 11.7% (+1.71)#220 14.5% (-1.03)#13,131
8. 98422 13.4% 11.7% (+1.69)#221 14.5% (-1.06)#13,148
9. 98405 11.8% 11.7% (+0.101)#248 14.5% (-2.65)#14,384
10. 98409 11.4% 11.7% (-0.341)#256 14.5% (-3.09)#14,752
11. 98403 9.5% 11.7% (-2.22)#301 14.5% (-4.97)#16,440
12. 98446 9.4% 11.7% (-2.39)#303 14.5% (-5.14)#16,593
13. 98406 7.7% 11.7% (-4.07)#333 14.5% (-6.82)#18,140
14. 98443 5.6% 11.7% (-6.10)#366 14.5% (-8.85)#20,010
15. 98407 4.8% 11.7% (-6.93)#379 14.5% (-9.68)#20,747
16. 98466 4.8% 11.7% (-6.98)#381 14.5% (-9.73)#20,773
17. 98465 3.3% 11.7% (-8.45)#408 14.5% (-11.2)#21,980
18. 98408 1.7% 11.7% (-10.1)#430 14.5% (-12.8)#23,033

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA are:
#1
100.0%
#2
29.5%
#3
22.9%
#4
16.9%
#5
16.8%
#6
14.2%
#7
13.5%
#8
13.4%
#9
11.8%
#10
11.4%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA?
98421 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Tacoma, WA?
Poverty Level Among Females Between Ages 25 and 34 in Tacoma is 11.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Washington?
Poverty Level Among Females Between Ages 25 and 34 in Washington is 11.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.