Zip Codes with the Highest Median Female Earnings in Connecticut

RELATED REPORTS & OPTIONS

Highest Earnings | 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
Connecticut
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Median Female Earnings in Connecticut

$0
$150,000
Zip Codes with the Highest Median Female Earnings in Connecticut Map

Zip Codes with the Highest Median Female Earnings in Connecticut

Zip Code Earnings vs State vs National
1.06467$113,678$41,426(+72.3k)#1$35,367(+78.3k)#21
2.06890$86,369$41,426(+44.9k)#2$35,367(+51.0k)#150
3.06853$85,691$41,426(+44.3k)#3$35,367(+50.3k)#157
4.06456$80,481$41,426(+39.1k)#4$35,367(+45.1k)#235
5.06444$80,147$41,426(+38.7k)#5$35,367(+44.8k)#244
6.06870$73,125$41,426(+31.7k)#6$35,367(+37.8k)#379
7.06089$71,648$41,426(+30.2k)#7$35,367(+36.3k)#423
8.06117$69,737$41,426(+28.3k)#8$35,367(+34.4k)#490
9.06019$68,650$41,426(+27.2k)#9$35,367(+33.3k)#546
10.06438$67,625$41,426(+26.2k)#10$35,367(+32.3k)#600
11.06807$67,295$41,426(+25.9k)#11$35,367(+31.9k)#613
12.06282$66,500$41,426(+25.1k)#12$35,367(+31.1k)#643
13.06903$66,164$41,426(+24.7k)#13$35,367(+30.8k)#655
14.06033$66,161$41,426(+24.7k)#14$35,367(+30.8k)#656
15.06612$66,161$41,426(+24.7k)#15$35,367(+30.8k)#657
16.06410$65,824$41,426(+24.4k)#16$35,367(+30.5k)#675
17.06840$65,694$41,426(+24.3k)#17$35,367(+30.3k)#682
18.06107$65,625$41,426(+24.2k)#18$35,367(+30.3k)#686
19.06896$65,625$41,426(+24.2k)#19$35,367(+30.3k)#687
20.06422$65,526$41,426(+24.1k)#20$35,367(+30.2k)#699
21.06103$64,492$41,426(+23.1k)#21$35,367(+29.1k)#756
22.06820$64,401$41,426(+23.0k)#22$35,367(+29.0k)#763
23.06061$63,938$41,426(+22.5k)#23$35,367(+28.6k)#783
24.06481$63,750$41,426(+22.3k)#24$35,367(+28.4k)#793
25.06525$63,656$41,426(+22.2k)#25$35,367(+28.3k)#800
26.06901$62,918$41,426(+21.5k)#26$35,367(+27.6k)#844
27.06085$62,532$41,426(+21.1k)#27$35,367(+27.2k)#871
28.06029$62,433$41,426(+21.0k)#28$35,367(+27.1k)#877
29.06013$61,518$41,426(+20.1k)#29$35,367(+26.2k)#933
30.06403$61,310$41,426(+19.9k)#30$35,367(+25.9k)#948
31.06078$60,333$41,426(+18.9k)#31$35,367(+25.0k)#1,041
32.06387$60,313$41,426(+18.9k)#32$35,367(+24.9k)#1,046
33.06231$60,000$41,426(+18.6k)#33$35,367(+24.6k)#1,069
34.06460$59,914$41,426(+18.5k)#34$35,367(+24.5k)#1,078
35.06477$59,741$41,426(+18.3k)#35$35,367(+24.4k)#1,093
36.06880$58,564$41,426(+17.1k)#36$35,367(+23.2k)#1,233
37.06415$58,454$41,426(+17.0k)#37$35,367(+23.1k)#1,247
38.06249$58,180$41,426(+16.8k)#38$35,367(+22.8k)#1,293
39.06416$58,125$41,426(+16.7k)#39$35,367(+22.8k)#1,299
40.06777$58,036$41,426(+16.6k)#40$35,367(+22.7k)#1,315
41.06482$57,874$41,426(+16.4k)#41$35,367(+22.5k)#1,353
42.06063$57,684$41,426(+16.3k)#42$35,367(+22.3k)#1,381
43.06877$57,669$41,426(+16.2k)#43$35,367(+22.3k)#1,384
44.06488$57,508$41,426(+16.1k)#44$35,367(+22.1k)#1,408
45.06073$57,464$41,426(+16.0k)#45$35,367(+22.1k)#1,417
46.06897$57,436$41,426(+16.0k)#46$35,367(+22.1k)#1,421
47.06067$57,339$41,426(+15.9k)#47$35,367(+22.0k)#1,431
48.06093$57,266$41,426(+15.8k)#48$35,367(+21.9k)#1,439
49.06248$57,231$41,426(+15.8k)#49$35,367(+21.9k)#1,443
50.06755$57,167$41,426(+15.7k)#50$35,367(+21.8k)#1,459
51.06524$56,522$41,426(+15.1k)#51$35,367(+21.2k)#1,532
52.06712$56,455$41,426(+15.0k)#52$35,367(+21.1k)#1,543
53.06479$56,439$41,426(+15.0k)#53$35,367(+21.1k)#1,545
54.06796$56,250$41,426(+14.8k)#54$35,367(+20.9k)#1,572
55.06001$55,760$41,426(+14.3k)#55$35,367(+20.4k)#1,642
56.06484$55,735$41,426(+14.3k)#56$35,367(+20.4k)#1,650
57.06023$55,618$41,426(+14.2k)#57$35,367(+20.3k)#1,672
58.06473$55,411$41,426(+14.0k)#58$35,367(+20.0k)#1,710
59.06611$55,126$41,426(+13.7k)#59$35,367(+19.8k)#1,757
60.06109$55,123$41,426(+13.7k)#60$35,367(+19.8k)#1,761
61.06447$55,095$41,426(+13.7k)#61$35,367(+19.7k)#1,768
62.06074$55,016$41,426(+13.6k)#62$35,367(+19.6k)#1,778
63.06756$54,855$41,426(+13.4k)#63$35,367(+19.5k)#1,805
64.06043$54,712$41,426(+13.3k)#64$35,367(+19.3k)#1,828
65.06437$54,685$41,426(+13.3k)#65$35,367(+19.3k)#1,836
66.06470$54,652$41,426(+13.2k)#66$35,367(+19.3k)#1,840
67.06237$54,338$41,426(+12.9k)#67$35,367(+19.0k)#1,882
68.06478$54,250$41,426(+12.8k)#68$35,367(+18.9k)#1,896
69.06783$54,205$41,426(+12.8k)#69$35,367(+18.8k)#1,902
70.06850$54,182$41,426(+12.8k)#70$35,367(+18.8k)#1,904
71.06517$54,073$41,426(+12.6k)#71$35,367(+18.7k)#1,924
72.06883$53,984$41,426(+12.6k)#72$35,367(+18.6k)#1,933
73.06247$53,594$41,426(+12.2k)#73$35,367(+18.2k)#2,007
74.06405$53,566$41,426(+12.1k)#74$35,367(+18.2k)#2,012
75.06070$53,188$41,426(+11.8k)#75$35,367(+17.8k)#2,072
76.06042$52,826$41,426(+11.4k)#76$35,367(+17.5k)#2,133
77.06238$52,788$41,426(+11.4k)#77$35,367(+17.4k)#2,143
78.06443$52,740$41,426(+11.3k)#78$35,367(+17.4k)#2,151
79.06426$52,727$41,426(+11.3k)#79$35,367(+17.4k)#2,154
80.06812$52,647$41,426(+11.2k)#80$35,367(+17.3k)#2,163
81.06334$52,386$41,426(+11.0k)#81$35,367(+17.0k)#2,204
82.06024$52,159$41,426(+10.7k)#82$35,367(+16.8k)#2,248
83.06232$52,065$41,426(+10.6k)#83$35,367(+16.7k)#2,262
84.06461$52,012$41,426(+10.6k)#84$35,367(+16.6k)#2,272
85.06787$51,908$41,426(+10.5k)#85$35,367(+16.5k)#2,292
86.06907$51,607$41,426(+10.2k)#86$35,367(+16.2k)#2,365
87.06825$51,397$41,426(+9.97k)#87$35,367(+16.0k)#2,412
88.06032$51,349$41,426(+9.92k)#88$35,367(+16.0k)#2,423
89.06090$51,282$41,426(+9.86k)#89$35,367(+15.9k)#2,433
90.06084$51,077$41,426(+9.65k)#90$35,367(+15.7k)#2,484
91.06784$51,042$41,426(+9.62k)#91$35,367(+15.7k)#2,492
92.06468$51,035$41,426(+9.61k)#92$35,367(+15.7k)#2,496
93.06498$50,857$41,426(+9.43k)#93$35,367(+15.5k)#2,540
94.06791$50,851$41,426(+9.43k)#94$35,367(+15.5k)#2,542
95.06759$50,785$41,426(+9.36k)#95$35,367(+15.4k)#2,557
96.06385$50,632$41,426(+9.21k)#96$35,367(+15.3k)#2,601
97.06751$50,625$41,426(+9.20k)#97$35,367(+15.3k)#2,602
98.06793$50,505$41,426(+9.08k)#98$35,367(+15.1k)#2,642
99.06111$50,384$41,426(+8.96k)#99$35,367(+15.0k)#2,695
100.06716$50,154$41,426(+8.73k)#100$35,367(+14.8k)#2,753

Common Questions

What are the Top 10 Zip Codes with the Highest Median Female Earnings in Connecticut?
Top 10 Zip Codes with the Highest Median Female Earnings in Connecticut are:
#1
$113,678
#2
$86,369
#3
$85,691
#4
$80,481
#5
$80,147
#6
$73,125
#7
$71,648
#8
$69,737
#9
$68,650
#10
$67,625
What zip code has the Highest Median Female Earnings in Connecticut?
06467 has the Highest Median Female Earnings in Connecticut with $113,678.
What is the Median Female Earnings in the State of Connecticut?
Median Female Earnings in Connecticut is $41,426.
What is the Median Female Earnings in the United States?
Median Female Earnings in the United States is $35,367.