Zip Codes with the Highest Female Poverty Level in Washington

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Highest Poverty | Female
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 Female Poverty Level in Washington

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Washington Map

Zip Codes with the Highest Female Poverty Level in Washington

Zip Code Female Poverty vs State vs National
1. 98421 100.0% 10.9% (+89.1)#1 13.7% (+86.3)#17
2. 99136 100.0% 10.9% (+89.1)#2 13.7% (+86.3)#87
3. 98829 71.3% 10.9% (+60.5)#3 13.7% (+57.6)#223
4. 98552 57.5% 10.9% (+46.7)#4 13.7% (+43.8)#433
5. 98560 47.2% 10.9% (+36.4)#5 13.7% (+33.5)#782
6. 98647 45.6% 10.9% (+34.8)#6 13.7% (+31.9)#859
7. 99126 43.9% 10.9% (+33.0)#7 13.7% (+30.2)#962
8. 99008 43.6% 10.9% (+32.8)#8 13.7% (+29.9)#975
9. 98530 40.4% 10.9% (+29.6)#9 13.7% (+26.7)#1,208
10. 98952 39.3% 10.9% (+28.4)#10 13.7% (+25.6)#1,301
11. 98617 38.3% 10.9% (+27.4)#11 13.7% (+24.6)#1,410
12. 99363 38.2% 10.9% (+27.4)#12 13.7% (+24.5)#1,412
13. 99151 37.8% 10.9% (+26.9)#13 13.7% (+24.1)#1,453
14. 98836 36.5% 10.9% (+25.6)#14 13.7% (+22.8)#1,604
15. 99017 35.8% 10.9% (+25.0)#15 13.7% (+22.1)#1,686
16. 99201 35.4% 10.9% (+24.5)#16 13.7% (+21.7)#1,767
17. 98539 35.0% 10.9% (+24.1)#17 13.7% (+21.3)#1,818
18. 98587 34.9% 10.9% (+24.0)#18 13.7% (+21.2)#1,845
19. 98670 34.2% 10.9% (+23.4)#19 13.7% (+20.5)#1,960
20. 98355 34.0% 10.9% (+23.2)#20 13.7% (+20.3)#1,988
21. 98256 33.7% 10.9% (+22.9)#21 13.7% (+20.0)#2,038
22. 98943 33.5% 10.9% (+22.7)#22 13.7% (+19.8)#2,069
23. 98350 33.1% 10.9% (+22.3)#23 13.7% (+19.4)#2,140
24. 99155 33.0% 10.9% (+22.1)#24 13.7% (+19.3)#2,172
25. 98621 32.5% 10.9% (+21.6)#25 13.7% (+18.8)#2,261
26. 99371 32.0% 10.9% (+21.1)#26 13.7% (+18.3)#2,362
27. 99163 31.3% 10.9% (+20.5)#27 13.7% (+17.6)#2,491
28. 98104 31.3% 10.9% (+20.5)#28 13.7% (+17.6)#2,497
29. 99202 31.1% 10.9% (+20.2)#29 13.7% (+17.4)#2,543
30. 98616 30.8% 10.9% (+19.9)#30 13.7% (+17.1)#2,623
31. 99329 30.6% 10.9% (+19.7)#31 13.7% (+16.9)#2,671
32. 98844 29.2% 10.9% (+18.3)#32 13.7% (+15.5)#3,029
33. 99001 28.8% 10.9% (+18.0)#33 13.7% (+15.1)#3,127
34. 99131 28.0% 10.9% (+17.2)#34 13.7% (+14.3)#3,356
35. 98593 28.0% 10.9% (+17.2)#35 13.7% (+14.3)#3,357
36. 98673 27.7% 10.9% (+16.8)#36 13.7% (+14.0)#3,461
37. 98279 27.7% 10.9% (+16.8)#37 13.7% (+14.0)#3,480
38. 98932 27.3% 10.9% (+16.5)#38 13.7% (+13.6)#3,559
39. 98586 26.6% 10.9% (+15.8)#39 13.7% (+12.9)#3,830
40. 99133 26.4% 10.9% (+15.5)#40 13.7% (+12.7)#3,931
41. 98819 26.4% 10.9% (+15.5)#41 13.7% (+12.7)#3,935
42. 98105 26.4% 10.9% (+15.5)#42 13.7% (+12.7)#3,941
43. 99129 26.3% 10.9% (+15.4)#43 13.7% (+12.6)#3,973
44. 99173 25.6% 10.9% (+14.7)#44 13.7% (+11.9)#4,236
45. 99013 25.4% 10.9% (+14.6)#45 13.7% (+11.8)#4,278
46. 98813 25.0% 10.9% (+14.2)#46 13.7% (+11.3)#4,458
47. 98934 25.0% 10.9% (+14.1)#47 13.7% (+11.3)#4,467
48. 98235 24.3% 10.9% (+13.5)#48 13.7% (+10.6)#4,746
49. 99119 24.3% 10.9% (+13.5)#49 13.7% (+10.6)#4,756
50. 98402 24.2% 10.9% (+13.4)#50 13.7% (+10.5)#4,802
51. 99029 24.1% 10.9% (+13.3)#51 13.7% (+10.4)#4,842
52. 98303 24.0% 10.9% (+13.1)#52 13.7% (+10.3)#4,917
53. 99344 23.9% 10.9% (+13.0)#53 13.7% (+10.2)#4,991
54. 99004 23.7% 10.9% (+12.9)#54 13.7% (+10.0)#5,055
55. 99207 23.7% 10.9% (+12.8)#55 13.7% (+9.98)#5,073
56. 98225 23.5% 10.9% (+12.7)#56 13.7% (+9.83)#5,135
57. 98660 23.4% 10.9% (+12.6)#57 13.7% (+9.73)#5,195
58. 98266 23.1% 10.9% (+12.2)#58 13.7% (+9.36)#5,396
59. 98331 22.5% 10.9% (+11.7)#59 13.7% (+8.83)#5,638
60. 98565 22.1% 10.9% (+11.2)#60 13.7% (+8.37)#5,914
61. 98650 22.0% 10.9% (+11.2)#61 13.7% (+8.34)#5,930
62. 98860 21.9% 10.9% (+11.1)#62 13.7% (+8.23)#6,000
63. 98849 21.9% 10.9% (+11.1)#63 13.7% (+8.21)#6,018
64. 98237 21.7% 10.9% (+10.8)#64 13.7% (+8.00)#6,142
65. 98901 21.6% 10.9% (+10.7)#65 13.7% (+7.89)#6,204
66. 99357 21.5% 10.9% (+10.7)#66 13.7% (+7.81)#6,248
67. 99138 21.4% 10.9% (+10.6)#67 13.7% (+7.73)#6,304
68. 98644 21.2% 10.9% (+10.4)#68 13.7% (+7.51)#6,448
69. 98325 21.2% 10.9% (+10.3)#69 13.7% (+7.45)#6,480
70. 98812 21.0% 10.9% (+10.1)#70 13.7% (+7.30)#6,578
71. 98948 20.8% 10.9% (+9.96)#71 13.7% (+7.11)#6,709
72. 98843 20.8% 10.9% (+9.92)#72 13.7% (+7.07)#6,731
73. 98935 20.6% 10.9% (+9.78)#73 13.7% (+6.94)#6,829
74. 98439 20.6% 10.9% (+9.74)#74 13.7% (+6.89)#6,861
75. 98902 20.5% 10.9% (+9.69)#75 13.7% (+6.85)#6,893
76. 98947 20.5% 10.9% (+9.65)#76 13.7% (+6.81)#6,930
77. 98361 20.4% 10.9% (+9.56)#77 13.7% (+6.72)#6,981
78. 98830 20.3% 10.9% (+9.46)#78 13.7% (+6.61)#7,043
79. 98903 20.3% 10.9% (+9.40)#79 13.7% (+6.56)#7,090
80. 98255 20.3% 10.9% (+9.40)#80 13.7% (+6.55)#7,096
81. 98926 20.1% 10.9% (+9.28)#81 13.7% (+6.43)#7,179
82. 99040 19.9% 10.9% (+9.05)#82 13.7% (+6.20)#7,339
83. 98531 19.8% 10.9% (+8.94)#83 13.7% (+6.09)#7,392
84. 98841 19.7% 10.9% (+8.81)#84 13.7% (+5.96)#7,486
85. 98588 19.6% 10.9% (+8.79)#85 13.7% (+5.94)#7,501
86. 98566 19.6% 10.9% (+8.77)#86 13.7% (+5.93)#7,510
87. 99137 19.6% 10.9% (+8.77)#87 13.7% (+5.92)#7,519
88. 98564 19.5% 10.9% (+8.63)#88 13.7% (+5.78)#7,633
89. 98951 19.4% 10.9% (+8.58)#89 13.7% (+5.73)#7,673
90. 99336 19.2% 10.9% (+8.35)#90 13.7% (+5.50)#7,841
91. 99403 19.1% 10.9% (+8.26)#91 13.7% (+5.41)#7,922
92. 98595 19.0% 10.9% (+8.11)#92 13.7% (+5.27)#8,038
93. 99181 18.9% 10.9% (+8.02)#93 13.7% (+5.18)#8,117
94. 98620 18.8% 10.9% (+7.96)#94 13.7% (+5.11)#8,161
95. 99218 18.8% 10.9% (+7.93)#95 13.7% (+5.09)#8,195
96. 98108 18.7% 10.9% (+7.83)#96 13.7% (+4.98)#8,278
97. 99118 18.6% 10.9% (+7.74)#97 13.7% (+4.89)#8,353
98. 98122 18.5% 10.9% (+7.69)#98 13.7% (+4.85)#8,396
99. 99018 18.5% 10.9% (+7.61)#99 13.7% (+4.76)#8,462
100. 99359 18.5% 10.9% (+7.61)#100 13.7% (+4.76)#8,463

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Washington?
Top 10 Zip Codes with the Highest Female Poverty Level in Washington are:
#1
100.0%
#2
100.0%
#3
71.3%
#4
57.5%
#5
47.2%
#6
45.6%
#7
43.9%
#8
43.6%
#9
40.4%
#10
39.3%
What zip code has the Highest Female Poverty Level in Washington?
98421 has the Highest Female Poverty Level in Washington with 100.0%.
What is the Poverty Level Among Females in the State of Washington?
Poverty Level Among Females in Washington is 10.9%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.