Zip Codes with the Highest Male / Female Ratio in Oregon

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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
Oregon
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Male / Female Ratio in Oregon

0.00
150,000.00
Zip Codes with the Highest Male / Female Ratio in Oregon Map

Zip Codes with the Highest Male / Female Ratio in Oregon

Zip Code Males / 100 Females vs State vs National
1.97310109,800.0099.87(+110k)#198.38(+110k)#1
2.973731,620.0099.87(+1.52k)#298.38(+1.52k)#33
3.97626537.1499.87(+437)#398.38(+439)#142
4.97531517.3199.87(+417)#498.38(+419)#149
5.97837455.5699.87(+356)#598.38(+357)#175
6.97028442.8699.87(+343)#698.38(+344)#184
7.97335369.8199.87(+270)#798.38(+271)#228
8.97336358.8299.87(+259)#898.38(+260)#237
9.97432345.2499.87(+245)#998.38(+247)#254
10.97621291.8099.87(+192)#1098.38(+193)#340
11.97481259.9199.87(+160)#1198.38(+162)#410
12.97840215.3899.87(+116)#1298.38(+117)#624
13.97902200.0099.87(+100)#1398.38(+102)#751
14.97329195.6599.87(+95.8)#1498.38(+97.3)#815
15.97712190.0099.87(+90.1)#1598.38(+91.6)#881
16.97735185.4599.87(+85.6)#1698.38(+87.1)#940
17.97842183.3399.87(+83.5)#1798.38(+84.9)#968
18.97882180.6999.87(+80.8)#1898.38(+82.3)#1,016
19.97736173.1799.87(+73.3)#1998.38(+74.8)#1,148
20.97204170.2499.87(+70.4)#2098.38(+71.9)#1,200
21.97627166.9499.87(+67.1)#2198.38(+68.6)#1,282
22.97410161.0899.87(+61.2)#2298.38(+62.7)#1,424
23.97819157.1499.87(+57.3)#2398.38(+58.8)#1,554
24.97050152.8799.87(+53.0)#2498.38(+54.5)#1,699
25.97342152.1799.87(+52.3)#2598.38(+53.8)#1,734
26.97622150.5699.87(+50.7)#2698.38(+52.2)#1,807
27.97721150.0099.87(+50.1)#2798.38(+51.6)#1,832
28.97848150.0099.87(+50.1)#2898.38(+51.6)#1,833
29.97908150.0099.87(+50.1)#2998.38(+51.6)#1,847
30.97345148.0099.87(+48.1)#3098.38(+49.6)#1,943
31.97021147.5099.87(+47.6)#3198.38(+49.1)#1,977
32.97633147.3399.87(+47.5)#3298.38(+48.9)#1,983
33.97632146.2599.87(+46.4)#3398.38(+47.9)#2,037
34.97454145.6699.87(+45.8)#3498.38(+47.3)#2,064
35.97434145.3599.87(+45.5)#3598.38(+47.0)#2,082
36.97369144.6499.87(+44.8)#3698.38(+46.3)#2,113
37.97430142.8699.87(+43.0)#3798.38(+44.5)#2,209
38.97522139.7599.87(+39.9)#3898.38(+41.4)#2,422
39.97637139.5899.87(+39.7)#3998.38(+41.2)#2,435
40.97914137.0999.87(+37.2)#4098.38(+38.7)#2,634
41.97825136.6399.87(+36.8)#4198.38(+38.2)#2,685
42.97911136.3699.87(+36.5)#4298.38(+38.0)#2,717
43.97730136.0399.87(+36.2)#4398.38(+37.6)#2,737
44.97910135.7199.87(+35.8)#4498.38(+37.3)#2,780
45.97722135.7199.87(+35.8)#4598.38(+37.3)#2,788
46.97350135.0099.87(+35.1)#4698.38(+36.6)#2,855
47.97049134.8199.87(+34.9)#4798.38(+36.4)#2,870
48.97406133.0899.87(+33.2)#4898.38(+34.7)#3,059
49.97378132.9699.87(+33.1)#4998.38(+34.6)#3,071
50.97466132.4199.87(+32.5)#5098.38(+34.0)#3,135
51.97638130.8199.87(+30.9)#5198.38(+32.4)#3,304
52.97376129.9899.87(+30.1)#5298.38(+31.6)#3,417
53.97429128.6999.87(+28.8)#5398.38(+30.3)#3,563
54.97541128.5599.87(+28.7)#5498.38(+30.2)#3,589
55.97907128.5399.87(+28.7)#5598.38(+30.1)#3,590
56.97544127.6699.87(+27.8)#5698.38(+29.3)#3,733
57.97326126.4499.87(+26.6)#5798.38(+28.1)#3,914
58.97630124.9999.87(+25.1)#5898.38(+26.6)#4,133
59.97707124.7299.87(+24.9)#5998.38(+26.3)#4,169
60.97026124.3999.87(+24.5)#6098.38(+26.0)#4,240
61.97827124.0599.87(+24.2)#6198.38(+25.7)#4,303
62.97480123.1399.87(+23.3)#6298.38(+24.7)#4,454
63.97489122.9499.87(+23.1)#6398.38(+24.6)#4,495
64.97490122.7799.87(+22.9)#6498.38(+24.4)#4,529
65.97442122.5599.87(+22.7)#6598.38(+24.2)#4,573
66.97813122.4299.87(+22.6)#6698.38(+24.0)#4,596
67.97497122.3699.87(+22.5)#6798.38(+24.0)#4,610
68.97109122.0999.87(+22.2)#6898.38(+23.7)#4,660
69.97731121.9599.87(+22.1)#6998.38(+23.6)#4,691
70.97001121.8499.87(+22.0)#7098.38(+23.5)#4,715
71.97040121.2099.87(+21.3)#7198.38(+22.8)#4,866
72.97384120.5199.87(+20.6)#7298.38(+22.1)#5,026
73.97436120.3899.87(+20.5)#7398.38(+22.0)#5,058
74.97640120.3499.87(+20.5)#7498.38(+22.0)#5,069
75.97148120.0399.87(+20.2)#7598.38(+21.6)#5,132
76.97826119.8599.87(+20.0)#7698.38(+21.5)#5,179
77.97492119.5899.87(+19.7)#7798.38(+21.2)#5,254
78.97346119.3699.87(+19.5)#7898.38(+21.0)#5,301
79.97465119.2099.87(+19.3)#7998.38(+20.8)#5,341
80.97503119.1399.87(+19.3)#8098.38(+20.7)#5,354
81.97738118.2499.87(+18.4)#8198.38(+19.9)#5,564
82.97903118.1899.87(+18.3)#8298.38(+19.8)#5,585
83.97488117.8099.87(+17.9)#8398.38(+19.4)#5,693
84.97859117.5999.87(+17.7)#8498.38(+19.2)#5,757
85.97020117.5899.87(+17.7)#8598.38(+19.2)#5,760
86.97412116.0499.87(+16.2)#8698.38(+17.7)#6,254
87.97865115.8199.87(+15.9)#8798.38(+17.4)#6,318
88.97801115.6599.87(+15.8)#8898.38(+17.3)#6,366
89.97137115.3399.87(+15.5)#8998.38(+16.9)#6,479
90.97053115.2999.87(+15.4)#9098.38(+16.9)#6,496
91.97389114.2199.87(+14.3)#9198.38(+15.8)#6,885
92.97885114.0499.87(+14.2)#9298.38(+15.7)#6,941
93.97634113.9499.87(+14.1)#9398.38(+15.6)#6,972
94.97623113.8399.87(+14.0)#9498.38(+15.4)#7,018
95.97131113.8099.87(+13.9)#9598.38(+15.4)#7,033
96.97457113.6699.87(+13.8)#9698.38(+15.3)#7,093
97.97641113.6499.87(+13.8)#9798.38(+15.3)#7,105
98.97324113.5999.87(+13.7)#9898.38(+15.2)#7,117
99.97301113.4999.87(+13.6)#9998.38(+15.1)#7,149
100.97017113.4899.87(+13.6)#10098.38(+15.1)#7,154

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Oregon?
Top 10 Zip Codes with the Highest Male / Female Ratio in Oregon are:
#1
109,800.00
#2
1,620.00
#3
537.14
#4
517.31
#5
455.56
#6
442.86
#7
369.81
#8
358.82
#9
345.24
#10
291.80
What zip code has the Highest Male / Female Ratio in Oregon?
97310 has the Highest Male / Female Ratio in Oregon with 109,800.00.
What is the Male to Female Ratio in the State of Oregon?
Male to Female Ratio in Oregon is 99.87.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.