Zip Codes with the Highest Female / Male Ratio in Connecticut

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Female / Male 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 Female / Male Ratio in Connecticut

0.00
500.00
Zip Codes with the Highest Female / Male Ratio in Connecticut Map

Zip Codes with the Highest Female / Male Ratio in Connecticut

Zip Code Females / 100 Males vs State vs National
1.06439475.00104.12(+371)#1101.64(+373)#57
2.06794184.75104.12(+80.6)#2101.64(+83.1)#521
3.06061171.17104.12(+67.0)#3101.64(+69.5)#661
4.06758166.67104.12(+62.5)#4101.64(+65.0)#726
5.06376152.94104.12(+48.8)#5101.64(+51.3)#988
6.06456150.93104.12(+46.8)#6101.64(+49.3)#1,045
7.06444150.00104.12(+45.9)#7101.64(+48.4)#1,073
8.06068147.79104.12(+43.7)#8101.64(+46.1)#1,150
9.06380144.61104.12(+40.5)#9101.64(+43.0)#1,260
10.06026141.74104.12(+37.6)#10101.64(+40.1)#1,372
11.06350134.29104.12(+30.2)#11101.64(+32.6)#1,745
12.06266134.02104.12(+29.9)#12101.64(+32.4)#1,761
13.06023132.45104.12(+28.3)#13101.64(+30.8)#1,889
14.06409130.13104.12(+26.0)#14101.64(+28.5)#2,098
15.06777127.87104.12(+23.7)#15101.64(+26.2)#2,334
16.06796127.64104.12(+23.5)#16101.64(+26.0)#2,360
17.06092123.92104.12(+19.8)#17101.64(+22.3)#2,831
18.06282123.26104.12(+19.1)#18101.64(+21.6)#2,933
19.06357122.59104.12(+18.5)#19101.64(+20.9)#3,051
20.06024122.50104.12(+18.4)#20101.64(+20.9)#3,066
21.06515122.12104.12(+18.0)#21101.64(+20.5)#3,148
22.06776121.86104.12(+17.7)#22101.64(+20.2)#3,199
23.06475121.35104.12(+17.2)#23101.64(+19.7)#3,301
24.06519121.20104.12(+17.1)#24101.64(+19.6)#3,340
25.06710120.06104.12(+15.9)#25101.64(+18.4)#3,571
26.06426119.86104.12(+15.7)#26101.64(+18.2)#3,609
27.06065119.76104.12(+15.6)#27101.64(+18.1)#3,639
28.06755119.68104.12(+15.6)#28101.64(+18.0)#3,658
29.06418119.36104.12(+15.2)#29101.64(+17.7)#3,727
30.06269118.95104.12(+14.8)#30101.64(+17.3)#3,827
31.06002118.82104.12(+14.7)#31101.64(+17.2)#3,858
32.06762118.50104.12(+14.4)#32101.64(+16.9)#3,944
33.06498118.18104.12(+14.1)#33101.64(+16.5)#4,046
34.06469118.15104.12(+14.0)#34101.64(+16.5)#4,054
35.06853117.78104.12(+13.7)#35101.64(+16.1)#4,145
36.06016117.63104.12(+13.5)#36101.64(+16.0)#4,185
37.06260117.60104.12(+13.5)#37101.64(+16.0)#4,195
38.06890117.58104.12(+13.5)#38101.64(+15.9)#4,200
39.06705117.16104.12(+13.0)#39101.64(+15.5)#4,328
40.06786117.14104.12(+13.0)#40101.64(+15.5)#4,332
41.06798116.88104.12(+12.8)#41101.64(+15.2)#4,399
42.06039116.86104.12(+12.7)#42101.64(+15.2)#4,409
43.06907116.61104.12(+12.5)#43101.64(+15.0)#4,518
44.06268116.34104.12(+12.2)#44101.64(+14.7)#4,597
45.06120115.49104.12(+11.4)#45101.64(+13.8)#4,880
46.06477115.39104.12(+11.3)#46101.64(+13.8)#4,921
47.06112115.08104.12(+11.0)#47101.64(+13.4)#5,042
48.06518114.98104.12(+10.9)#48101.64(+13.3)#5,076
49.06114114.73104.12(+10.6)#49101.64(+13.1)#5,165
50.06051114.70104.12(+10.6)#50101.64(+13.1)#5,176
51.06096114.68104.12(+10.6)#51101.64(+13.0)#5,181
52.06481114.33104.12(+10.2)#52101.64(+12.7)#5,321
53.06365113.92104.12(+9.79)#53101.64(+12.3)#5,496
54.06840113.85104.12(+9.73)#54101.64(+12.2)#5,519
55.06333113.72104.12(+9.60)#55101.64(+12.1)#5,563
56.06239113.44104.12(+9.32)#56101.64(+11.8)#5,675
57.06070113.43104.12(+9.30)#57101.64(+11.8)#5,679
58.06405113.37104.12(+9.25)#58101.64(+11.7)#5,705
59.06512113.00104.12(+8.88)#59101.64(+11.4)#5,872
60.06107112.83104.12(+8.71)#60101.64(+11.2)#5,961
61.06830112.57104.12(+8.45)#61101.64(+10.9)#6,083
62.06782112.29104.12(+8.17)#62101.64(+10.7)#6,230
63.06262112.03104.12(+7.90)#63101.64(+10.4)#6,353
64.06779111.46104.12(+7.34)#64101.64(+9.82)#6,633
65.06878111.27104.12(+7.15)#65101.64(+9.63)#6,727
66.06488111.12104.12(+7.00)#66101.64(+9.48)#6,808
67.06804110.89104.12(+6.77)#67101.64(+9.25)#6,950
68.06256110.85104.12(+6.73)#68101.64(+9.21)#6,972
69.06119110.84104.12(+6.71)#69101.64(+9.19)#6,989
70.06052110.81104.12(+6.69)#70101.64(+9.17)#7,002
71.06105110.74104.12(+6.61)#71101.64(+9.09)#7,055
72.06851110.56104.12(+6.44)#72101.64(+8.92)#7,155
73.06460110.45104.12(+6.33)#73101.64(+8.81)#7,215
74.06484110.40104.12(+6.27)#74101.64(+8.75)#7,245
75.06231110.29104.12(+6.17)#75101.64(+8.65)#7,295
76.06111110.19104.12(+6.06)#76101.64(+8.54)#7,354
77.06870109.96104.12(+5.84)#77101.64(+8.32)#7,510
78.06076109.78104.12(+5.66)#78101.64(+8.14)#7,619
79.06610109.76104.12(+5.63)#79101.64(+8.11)#7,631
80.06824109.75104.12(+5.63)#80101.64(+8.11)#7,642
81.06517109.61104.12(+5.49)#81101.64(+7.97)#7,729
82.06110109.26104.12(+5.14)#82101.64(+7.62)#7,968
83.06492109.13104.12(+5.01)#83101.64(+7.49)#8,061
84.06483109.05104.12(+4.93)#84101.64(+7.41)#8,123
85.06117108.90104.12(+4.78)#85101.64(+7.26)#8,228
86.06831108.60104.12(+4.47)#86101.64(+6.95)#8,435
87.06032108.41104.12(+4.29)#87101.64(+6.77)#8,574
88.06614108.29104.12(+4.17)#88101.64(+6.65)#8,671
89.06750108.28104.12(+4.16)#89101.64(+6.64)#8,677
90.06511108.19104.12(+4.07)#90101.64(+6.55)#8,745
91.06058108.11104.12(+3.99)#91101.64(+6.47)#8,794
92.06704107.78104.12(+3.66)#92101.64(+6.14)#9,054
93.06513107.67104.12(+3.55)#93101.64(+6.02)#9,141
94.06001107.57104.12(+3.45)#94101.64(+5.92)#9,225
95.06450107.48104.12(+3.35)#95101.64(+5.83)#9,304
96.06385107.36104.12(+3.24)#96101.64(+5.72)#9,391
97.06118107.24104.12(+3.12)#97101.64(+5.60)#9,495
98.06226106.92104.12(+2.80)#98101.64(+5.28)#9,775
99.06605106.80104.12(+2.68)#99101.64(+5.15)#9,871
100.06335106.77104.12(+2.65)#100101.64(+5.13)#9,902

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Connecticut?
Top 10 Zip Codes with the Highest Female / Male Ratio in Connecticut are:
#1
475.00
#2
184.75
#3
171.17
#4
166.67
#5
152.94
#6
150.93
#7
150.00
#8
147.79
#9
144.61
#10
141.74
What zip code has the Highest Female / Male Ratio in Connecticut?
06439 has the Highest Female / Male Ratio in Connecticut with 475.00.
What is the Famale to Male Ratio in the State of Connecticut?
Famale to Male Ratio in Connecticut is 104.12.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.