Zip Codes with the Highest Male / Female Ratio in Connecticut

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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
Connecticut
Compare Zip Codes
Comparison Subject

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

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300.00
Zip Codes with the Highest Male / Female Ratio in Connecticut Map

Zip Codes with the Highest Male / Female Ratio in Connecticut

Zip Code Males / 100 Females vs State vs National
1.06258251.8596.04(+156)#198.38(+153)#431
2.06387227.7896.04(+132)#298.38(+129)#535
3.06022204.0096.04(+108)#398.38(+106)#712
4.06389197.3096.04(+101)#498.38(+98.9)#792
5.06336191.3096.04(+95.3)#598.38(+92.9)#860
6.06264186.5996.04(+90.5)#698.38(+88.2)#925
7.06103174.2696.04(+78.2)#798.38(+75.9)#1,130
8.06243160.0096.04(+64.0)#898.38(+61.6)#1,457
9.06091153.4296.04(+57.4)#998.38(+55.0)#1,678
10.06754149.9396.04(+53.9)#1098.38(+51.6)#1,853
11.06059148.9196.04(+52.9)#1198.38(+50.5)#1,898
12.06338141.1896.04(+45.1)#1298.38(+42.8)#2,325
13.06377139.6896.04(+43.6)#1398.38(+41.3)#2,427
14.06467130.2396.04(+34.2)#1498.38(+31.8)#3,376
15.06373130.0096.04(+34.0)#1598.38(+31.6)#3,410
16.06237128.7796.04(+32.7)#1698.38(+30.4)#3,553
17.06247125.8896.04(+29.8)#1798.38(+27.5)#3,987
18.06279121.2396.04(+25.2)#1898.38(+22.8)#4,858
19.06340120.4096.04(+24.4)#1998.38(+22.0)#5,054
20.06403119.8496.04(+23.8)#2098.38(+21.5)#5,181
21.06455119.3596.04(+23.3)#2198.38(+21.0)#5,306
22.06248119.0296.04(+23.0)#2298.38(+20.6)#5,376
23.06242118.4396.04(+22.4)#2398.38(+20.1)#5,517
24.06791116.2896.04(+20.2)#2498.38(+17.9)#6,184
25.06438115.9296.04(+19.9)#2598.38(+17.5)#6,285
26.06339115.4696.04(+19.4)#2698.38(+17.1)#6,432
27.06753115.3896.04(+19.3)#2798.38(+17.0)#6,464
28.06370114.7796.04(+18.7)#2898.38(+16.4)#6,666
29.06069114.2096.04(+18.2)#2998.38(+15.8)#6,886
30.06787114.1696.04(+18.1)#3098.38(+15.8)#6,907
31.06071113.8896.04(+17.8)#3198.38(+15.5)#6,998
32.06784113.8196.04(+17.8)#3298.38(+15.4)#7,031
33.06785113.7196.04(+17.7)#3398.38(+15.3)#7,077
34.06855113.6196.04(+17.6)#3498.38(+15.2)#7,113
35.06234113.2696.04(+17.2)#3598.38(+14.9)#7,233
36.06525110.9196.04(+14.9)#3698.38(+12.5)#8,218
37.06612110.5496.04(+14.5)#3798.38(+12.2)#8,383
38.06332110.3196.04(+14.3)#3898.38(+11.9)#8,506
39.06384110.2796.04(+14.2)#3998.38(+11.9)#8,532
40.06057109.8896.04(+13.8)#4098.38(+11.5)#8,727
41.06423109.7496.04(+13.7)#4198.38(+11.4)#8,777
42.06854109.4896.04(+13.4)#4298.38(+11.1)#8,910
43.06063109.3396.04(+13.3)#4398.38(+10.9)#8,986
44.06441109.0396.04(+13.0)#4498.38(+10.6)#9,136
45.06702108.8496.04(+12.8)#4598.38(+10.5)#9,234
46.06035108.7796.04(+12.7)#4698.38(+10.4)#9,273
47.06470108.5796.04(+12.5)#4798.38(+10.2)#9,392
48.06334107.9096.04(+11.9)#4898.38(+9.51)#9,787
49.06093107.7896.04(+11.7)#4998.38(+9.40)#9,869
50.06468107.5496.04(+11.5)#5098.38(+9.16)#10,008
51.06770107.2596.04(+11.2)#5198.38(+8.87)#10,212
52.06437107.1896.04(+11.1)#5298.38(+8.80)#10,263
53.06472106.9196.04(+10.9)#5398.38(+8.52)#10,454
54.06897106.8996.04(+10.8)#5498.38(+8.50)#10,468
55.06088106.7596.04(+10.7)#5598.38(+8.37)#10,563
56.06359106.7396.04(+10.7)#5698.38(+8.35)#10,575
57.06062106.4496.04(+10.4)#5798.38(+8.06)#10,751
58.06607106.0496.04(+10.00)#5898.38(+7.65)#11,016
59.06478105.9796.04(+9.93)#5998.38(+7.59)#11,060
60.06082105.8796.04(+9.82)#6098.38(+7.48)#11,144
61.06355105.7996.04(+9.75)#6198.38(+7.40)#11,188
62.06763105.7696.04(+9.72)#6298.38(+7.38)#11,206
63.06098105.5496.04(+9.50)#6398.38(+7.16)#11,370
64.06060105.3796.04(+9.33)#6498.38(+6.99)#11,487
65.06081105.3596.04(+9.31)#6598.38(+6.97)#11,506
66.06524105.2396.04(+9.19)#6698.38(+6.85)#11,603
67.06417104.9396.04(+8.89)#6798.38(+6.55)#11,819
68.06029104.7096.04(+8.66)#6898.38(+6.31)#12,029
69.06752104.4396.04(+8.38)#6998.38(+6.04)#12,220
70.06420104.1296.04(+8.08)#7098.38(+5.74)#12,466
71.06331104.1096.04(+8.06)#7198.38(+5.71)#12,480
72.06241103.9796.04(+7.93)#7298.38(+5.59)#12,576
73.06277103.7796.04(+7.73)#7398.38(+5.38)#12,753
74.06043103.5796.04(+7.53)#7498.38(+5.18)#12,925
75.06031103.4296.04(+7.38)#7598.38(+5.04)#13,037
76.06351103.3096.04(+7.26)#7698.38(+4.92)#13,159
77.06259103.1996.04(+7.15)#7798.38(+4.81)#13,253
78.06422103.0896.04(+7.03)#7898.38(+4.69)#13,366
79.06018103.0396.04(+6.99)#7998.38(+4.65)#13,401
80.06027102.9796.04(+6.93)#8098.38(+4.59)#13,459
81.06413102.9296.04(+6.88)#8198.38(+4.54)#13,502
82.06447102.9196.04(+6.87)#8298.38(+4.53)#13,514
83.06510102.7696.04(+6.72)#8398.38(+4.38)#13,661
84.06415102.6996.04(+6.65)#8498.38(+4.31)#13,707
85.06281102.3996.04(+6.35)#8598.38(+4.01)#13,979
86.06712102.3996.04(+6.35)#8698.38(+4.00)#13,982
87.06330102.0296.04(+5.98)#8798.38(+3.63)#14,363
88.06053101.9296.04(+5.88)#8898.38(+3.54)#14,456
89.06482101.9196.04(+5.87)#8998.38(+3.53)#14,466
90.06461101.7096.04(+5.66)#9098.38(+3.32)#14,655
91.06354101.6396.04(+5.59)#9198.38(+3.24)#14,724
92.06410101.5196.04(+5.46)#9298.38(+3.12)#14,844
93.06611101.5096.04(+5.45)#9398.38(+3.11)#14,851
94.06783101.4796.04(+5.43)#9498.38(+3.08)#14,879
95.06360101.4596.04(+5.40)#9598.38(+3.06)#14,896
96.06480101.3596.04(+5.31)#9698.38(+2.96)#14,983
97.06021101.2696.04(+5.22)#9798.38(+2.88)#15,073
98.06371101.1396.04(+5.09)#9898.38(+2.75)#15,210
99.06903101.0996.04(+5.05)#9998.38(+2.71)#15,238
100.06479100.9596.04(+4.91)#10098.38(+2.57)#15,368

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Connecticut?
Top 10 Zip Codes with the Highest Male / Female Ratio in Connecticut are:
#1
251.85
#2
227.78
#3
204.00
#4
197.30
#5
191.30
#6
186.59
#7
174.26
#8
160.00
#9
153.42
#10
149.93
What zip code has the Highest Male / Female Ratio in Connecticut?
06258 has the Highest Male / Female Ratio in Connecticut with 251.85.
What is the Male to Female Ratio in the State of Connecticut?
Male to Female Ratio in Connecticut is 96.04.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.