Zip Codes with the Highest Male / Female Ratio in Washington

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Male / Female Ratio
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 Male / Female Ratio in Washington

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Zip Codes with the Highest Male / Female Ratio in Washington Map

Zip Codes with the Highest Male / Female Ratio in Washington

Zip Code Males / 100 Females vs State vs National
1.984381,596.97101.77(+1.50k)#198.38(+1.50k)#34
2.98421875.31101.77(+774)#298.38(+777)#74
3.98278549.45101.77(+448)#398.38(+451)#139
4.98134360.54101.77(+259)#498.38(+262)#234
5.98207353.57101.77(+252)#598.38(+255)#247
6.99160327.27101.77(+226)#698.38(+229)#277
7.99136325.00101.77(+223)#798.38(+227)#281
8.98314317.33101.77(+216)#898.38(+219)#289
9.99333250.00101.77(+148)#998.38(+152)#439
10.98430200.52101.77(+98.8)#1098.38(+102)#736
11.99401192.37101.77(+90.6)#1198.38(+94.0)#844
12.98315191.61101.77(+89.8)#1298.38(+93.2)#857
13.98288190.32101.77(+88.6)#1398.38(+91.9)#872
14.98558185.71101.77(+83.9)#1498.38(+87.3)#935
15.98164184.52101.77(+82.8)#1598.38(+86.1)#956
16.99001183.61101.77(+81.8)#1698.38(+85.2)#964
17.99363182.35101.77(+80.6)#1798.38(+84.0)#985
18.98817180.39101.77(+78.6)#1898.38(+82.0)#1,022
19.98267171.19101.77(+69.4)#1998.38(+72.8)#1,184
20.98555170.45101.77(+68.7)#2098.38(+72.1)#1,196
21.99326165.29101.77(+63.5)#2198.38(+66.9)#1,316
22.98582165.17101.77(+63.4)#2298.38(+66.8)#1,320
23.98566163.55101.77(+61.8)#2398.38(+65.2)#1,362
24.99152157.14101.77(+55.4)#2498.38(+58.8)#1,546
25.98638156.32101.77(+54.6)#2598.38(+57.9)#1,581
26.98104155.90101.77(+54.1)#2698.38(+57.5)#1,595
27.99034152.94101.77(+51.2)#2798.38(+54.6)#1,696
28.98337152.37101.77(+50.6)#2898.38(+54.0)#1,725
29.98433151.04101.77(+49.3)#2998.38(+52.7)#1,781
30.98243149.58101.77(+47.8)#3098.38(+51.2)#1,864
31.98934148.32101.77(+46.6)#3198.38(+49.9)#1,928
32.98224147.19101.77(+45.4)#3298.38(+48.8)#1,992
33.98843146.48101.77(+44.7)#3398.38(+48.1)#2,024
34.99167144.07101.77(+42.3)#3498.38(+45.7)#2,146
35.98650143.69101.77(+41.9)#3598.38(+45.3)#2,166
36.99322143.11101.77(+41.3)#3698.38(+44.7)#2,195
37.98286143.08101.77(+41.3)#3798.38(+44.7)#2,197
38.99011141.21101.77(+39.4)#3898.38(+42.8)#2,319
39.99128140.83101.77(+39.1)#3998.38(+42.4)#2,346
40.98813139.21101.77(+37.4)#4098.38(+40.8)#2,467
41.98647138.60101.77(+36.8)#4198.38(+40.2)#2,512
42.99036138.21101.77(+36.4)#4298.38(+39.8)#2,537
43.98940137.79101.77(+36.0)#4398.38(+39.4)#2,564
44.98941137.64101.77(+35.9)#4498.38(+39.3)#2,581
45.98351137.58101.77(+35.8)#4598.38(+39.2)#2,585
46.99039137.50101.77(+35.7)#4698.38(+39.1)#2,587
47.98643137.44101.77(+35.7)#4798.38(+39.1)#2,594
48.99031137.18101.77(+35.4)#4898.38(+38.8)#2,620
49.99135136.65101.77(+34.9)#4998.38(+38.3)#2,678
50.98533135.96101.77(+34.2)#5098.38(+37.6)#2,749
51.99349135.49101.77(+33.7)#5198.38(+37.1)#2,813
52.98649135.18101.77(+33.4)#5298.38(+36.8)#2,839
53.99118134.59101.77(+32.8)#5398.38(+36.2)#2,893
54.98552133.96101.77(+32.2)#5498.38(+35.6)#2,960
55.98121133.95101.77(+32.2)#5598.38(+35.6)#2,961
56.99125131.00101.77(+29.2)#5698.38(+32.6)#3,277
57.98939130.77101.77(+29.0)#5798.38(+32.4)#3,313
58.98101129.48101.77(+27.7)#5898.38(+31.1)#3,469
59.98586129.32101.77(+27.6)#5998.38(+30.9)#3,492
60.98439129.27101.77(+27.5)#6098.38(+30.9)#3,495
61.99153127.37101.77(+25.6)#6198.38(+29.0)#3,769
62.98345127.20101.77(+25.4)#6298.38(+28.8)#3,802
63.99119126.99101.77(+25.2)#6398.38(+28.6)#3,829
64.98855126.97101.77(+25.2)#6498.38(+28.6)#3,832
65.98304126.16101.77(+24.4)#6598.38(+27.8)#3,955
66.98262126.00101.77(+24.2)#6698.38(+27.6)#3,973
67.98812125.82101.77(+24.1)#6798.38(+27.4)#3,997
68.98819125.27101.77(+23.5)#6898.38(+26.9)#4,072
69.98950125.00101.77(+23.2)#6998.38(+26.6)#4,126
70.99323124.77101.77(+23.0)#7098.38(+26.4)#4,162
71.98524124.55101.77(+22.8)#7198.38(+26.2)#4,206
72.98624124.47101.77(+22.7)#7298.38(+26.1)#4,226
73.99129124.03101.77(+22.3)#7398.38(+25.6)#4,313
74.99154123.53101.77(+21.8)#7498.38(+25.1)#4,395
75.98102123.30101.77(+21.5)#7598.38(+24.9)#4,422
76.98858123.16101.77(+21.4)#7698.38(+24.8)#4,448
77.98645123.14101.77(+21.4)#7798.38(+24.8)#4,451
78.98418123.10101.77(+21.3)#7898.38(+24.7)#4,456
79.98385123.08101.77(+21.3)#7998.38(+24.7)#4,462
80.98925123.01101.77(+21.2)#8098.38(+24.6)#4,479
81.98323122.79101.77(+21.0)#8198.38(+24.4)#4,526
82.98272121.86101.77(+20.1)#8298.38(+23.5)#4,709
83.99161121.75101.77(+20.0)#8398.38(+23.4)#4,738
84.98188121.67101.77(+19.9)#8498.38(+23.3)#4,753
85.98520121.65101.77(+19.9)#8598.38(+23.3)#4,758
86.98355121.60101.77(+19.8)#8698.38(+23.2)#4,767
87.99030120.90101.77(+19.1)#8798.38(+22.5)#4,932
88.98303120.84101.77(+19.1)#8898.38(+22.5)#4,947
89.98336120.82101.77(+19.1)#8998.38(+22.4)#4,957
90.98222120.75101.77(+19.0)#9098.38(+22.4)#4,967
91.98823120.44101.77(+18.7)#9198.38(+22.1)#5,039
92.99341120.36101.77(+18.6)#9298.38(+22.0)#5,063
93.98326119.79101.77(+18.0)#9398.38(+21.4)#5,193
94.99361119.76101.77(+18.0)#9498.38(+21.4)#5,204
95.98621119.66101.77(+17.9)#9598.38(+21.3)#5,227
96.99330119.55101.77(+17.8)#9698.38(+21.2)#5,261
97.98830119.53101.77(+17.8)#9798.38(+21.1)#5,267
98.99356119.21101.77(+17.4)#9898.38(+20.8)#5,336
99.99201119.17101.77(+17.4)#9998.38(+20.8)#5,346
100.98663118.84101.77(+17.1)#10098.38(+20.5)#5,419

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Washington?
Top 10 Zip Codes with the Highest Male / Female Ratio in Washington are:
#1
1,596.97
#2
875.31
#3
549.45
#4
360.54
#5
353.57
#6
327.27
#7
325.00
#8
317.33
#9
250.00
#10
200.52
What zip code has the Highest Male / Female Ratio in Washington?
98438 has the Highest Male / Female Ratio in Washington with 1,596.97.
What is the Male to Female Ratio in the State of Washington?
Male to Female Ratio in Washington is 101.77.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.