Zip Codes with the Lowest Median Female Earnings in Wisconsin

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Lowest 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
Wisconsin
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Median Female Earnings in Wisconsin

$30,000
$0
Zip Codes with the Lowest Median Female Earnings in Wisconsin Map

Zip Codes with the Lowest Median Female Earnings in Wisconsin

Zip Code Earnings vs State vs National
1.53706$3,748$35,339(-31.6k)#1$35,367(-31.6k)#150
2.53233$7,138$35,339(-28.2k)#2$35,367(-28.2k)#355
3.53715$8,160$35,339(-27.2k)#3$35,367(-27.2k)#375
4.54565$10,000$35,339(-25.3k)#4$35,367(-25.4k)#430
5.54517$11,471$35,339(-23.9k)#5$35,367(-23.9k)#506
6.53726$12,500$35,339(-22.8k)#6$35,367(-22.9k)#584
7.53190$13,594$35,339(-21.7k)#7$35,367(-21.8k)#653
8.53097$13,627$35,339(-21.7k)#8$35,367(-21.7k)#656
9.54234$14,828$35,339(-20.5k)#9$35,367(-20.5k)#803
10.54527$16,146$35,339(-19.2k)#10$35,367(-19.2k)#985
11.54933$16,250$35,339(-19.1k)#11$35,367(-19.1k)#1,012
12.54246$16,818$35,339(-18.5k)#12$35,367(-18.5k)#1,147
13.54512$17,457$35,339(-17.9k)#13$35,367(-17.9k)#1,291
14.53703$17,859$35,339(-17.5k)#14$35,367(-17.5k)#1,358
15.54542$18,269$35,339(-17.1k)#15$35,367(-17.1k)#1,448
16.54850$18,750$35,339(-16.6k)#16$35,367(-16.6k)#1,579
17.53818$18,893$35,339(-16.4k)#17$35,367(-16.5k)#1,624
18.54855$19,886$35,339(-15.5k)#18$35,367(-15.5k)#1,921
19.54875$19,911$35,339(-15.4k)#19$35,367(-15.5k)#1,927
20.54547$20,125$35,339(-15.2k)#20$35,367(-15.2k)#1,990
21.54428$20,188$35,339(-15.2k)#21$35,367(-15.2k)#2,004
22.54562$20,781$35,339(-14.6k)#22$35,367(-14.6k)#2,183
23.53910$20,962$35,339(-14.4k)#23$35,367(-14.4k)#2,275
24.53506$21,136$35,339(-14.2k)#24$35,367(-14.2k)#2,338
25.54652$21,146$35,339(-14.2k)#25$35,367(-14.2k)#2,342
26.54150$21,364$35,339(-14.0k)#26$35,367(-14.0k)#2,452
27.54103$21,563$35,339(-13.8k)#27$35,367(-13.8k)#2,551
28.54112$22,000$35,339(-13.3k)#28$35,367(-13.4k)#2,814
29.54209$22,115$35,339(-13.2k)#29$35,367(-13.3k)#2,885
30.54495$22,121$35,339(-13.2k)#30$35,367(-13.2k)#2,888
31.53806$22,500$35,339(-12.8k)#31$35,367(-12.9k)#3,107
32.54485$22,500$35,339(-12.8k)#32$35,367(-12.9k)#3,123
33.53195$22,500$35,339(-12.8k)#33$35,367(-12.9k)#3,128
34.54645$22,500$35,339(-12.8k)#34$35,367(-12.9k)#3,129
35.54872$22,742$35,339(-12.6k)#35$35,367(-12.6k)#3,246
36.54564$22,813$35,339(-12.5k)#36$35,367(-12.6k)#3,306
37.54513$23,036$35,339(-12.3k)#37$35,367(-12.3k)#3,419
38.54524$23,145$35,339(-12.2k)#38$35,367(-12.2k)#3,510
39.54977$23,272$35,339(-12.1k)#39$35,367(-12.1k)#3,603
40.54470$23,274$35,339(-12.1k)#40$35,367(-12.1k)#3,605
41.54943$23,365$35,339(-12.0k)#41$35,367(-12.0k)#3,669
42.54821$23,393$35,339(-11.9k)#42$35,367(-12.0k)#3,688
43.54982$23,591$35,339(-11.7k)#43$35,367(-11.8k)#3,833
44.53934$23,929$35,339(-11.4k)#44$35,367(-11.4k)#4,106
45.54901$23,941$35,339(-11.4k)#45$35,367(-11.4k)#4,122
46.54481$23,980$35,339(-11.4k)#46$35,367(-11.4k)#4,155
47.54814$24,018$35,339(-11.3k)#47$35,367(-11.3k)#4,197
48.54022$24,101$35,339(-11.2k)#48$35,367(-11.3k)#4,275
49.54159$24,167$35,339(-11.2k)#49$35,367(-11.2k)#4,342
50.54210$24,167$35,339(-11.2k)#50$35,367(-11.2k)#4,349
51.54601$24,197$35,339(-11.1k)#51$35,367(-11.2k)#4,386
52.54862$24,211$35,339(-11.1k)#52$35,367(-11.2k)#4,394
53.54114$24,353$35,339(-11.0k)#53$35,367(-11.0k)#4,536
54.54177$24,358$35,339(-11.0k)#54$35,367(-11.0k)#4,543
55.53827$24,471$35,339(-10.9k)#55$35,367(-10.9k)#4,648
56.54858$24,511$35,339(-10.8k)#56$35,367(-10.9k)#4,694
57.54613$24,540$35,339(-10.8k)#57$35,367(-10.8k)#4,728
58.54648$24,549$35,339(-10.8k)#58$35,367(-10.8k)#4,734
59.54566$24,583$35,339(-10.8k)#59$35,367(-10.8k)#4,761
60.54102$24,583$35,339(-10.8k)#60$35,367(-10.8k)#4,763
61.54424$24,609$35,339(-10.7k)#61$35,367(-10.8k)#4,797
62.54207$24,688$35,339(-10.7k)#62$35,367(-10.7k)#4,881
63.54871$24,722$35,339(-10.6k)#63$35,367(-10.6k)#4,910
64.54766$24,792$35,339(-10.5k)#64$35,367(-10.6k)#4,980
65.54120$25,000$35,339(-10.3k)#65$35,367(-10.4k)#5,205
66.54433$25,054$35,339(-10.3k)#66$35,367(-10.3k)#5,231
67.54980$25,104$35,339(-10.2k)#67$35,367(-10.3k)#5,274
68.54534$25,192$35,339(-10.1k)#68$35,367(-10.2k)#5,335
69.54865$25,278$35,339(-10.1k)#69$35,367(-10.1k)#5,385
70.54835$25,313$35,339(-10.0k)#70$35,367(-10.1k)#5,410
71.54828$25,385$35,339(-9.95k)#71$35,367(-9.98k)#5,463
72.54490$25,417$35,339(-9.92k)#72$35,367(-9.95k)#5,491
73.53204$25,524$35,339(-9.81k)#73$35,367(-9.84k)#5,581
74.54537$25,536$35,339(-9.80k)#74$35,367(-9.83k)#5,595
75.53526$25,625$35,339(-9.71k)#75$35,367(-9.74k)#5,685
76.54247$25,688$35,339(-9.65k)#76$35,367(-9.68k)#5,738
77.54156$25,729$35,339(-9.61k)#77$35,367(-9.64k)#5,776
78.54751$25,867$35,339(-9.47k)#78$35,367(-9.50k)#5,892
79.53215$25,896$35,339(-9.44k)#79$35,367(-9.47k)#5,920
80.53032$25,911$35,339(-9.43k)#80$35,367(-9.46k)#5,932
81.54538$25,947$35,339(-9.39k)#81$35,367(-9.42k)#5,969
82.54491$25,972$35,339(-9.37k)#82$35,367(-9.39k)#5,987
83.53206$26,021$35,339(-9.32k)#83$35,367(-9.35k)#6,028
84.53928$26,250$35,339(-9.09k)#84$35,367(-9.12k)#6,302
85.53969$26,389$35,339(-8.95k)#85$35,367(-8.98k)#6,430
86.54870$26,406$35,339(-8.93k)#86$35,367(-8.96k)#6,440
87.53098$26,467$35,339(-8.87k)#87$35,367(-8.90k)#6,503
88.53104$26,533$35,339(-8.81k)#88$35,367(-8.83k)#6,570
89.54812$26,560$35,339(-8.78k)#89$35,367(-8.81k)#6,588
90.54450$26,563$35,339(-8.78k)#90$35,367(-8.80k)#6,601
91.53140$26,571$35,339(-8.77k)#91$35,367(-8.80k)#6,611
92.54909$26,607$35,339(-8.73k)#92$35,367(-8.76k)#6,648
93.54149$26,667$35,339(-8.67k)#93$35,367(-8.70k)#6,698
94.54867$26,667$35,339(-8.67k)#94$35,367(-8.70k)#6,703
95.54847$26,726$35,339(-8.61k)#95$35,367(-8.64k)#6,756
96.53525$26,829$35,339(-8.51k)#96$35,367(-8.54k)#6,872
97.54413$26,875$35,339(-8.46k)#97$35,367(-8.49k)#6,936
98.53805$26,923$35,339(-8.42k)#98$35,367(-8.44k)#6,971
99.53205$26,982$35,339(-8.36k)#99$35,367(-8.38k)#7,034
100.54822$27,029$35,339(-8.31k)#100$35,367(-8.34k)#7,074

Common Questions

What are the Top 10 Zip Codes with the Lowest Median Female Earnings in Wisconsin?
Top 10 Zip Codes with the Lowest Median Female Earnings in Wisconsin are:
#1
$3,748
#2
$7,138
#3
$8,160
#4
$10,000
#5
$11,471
#6
$12,500
#7
$13,594
#8
$13,627
#9
$14,828
#10
$16,146
What zip code has the Lowest Median Female Earnings in Wisconsin?
53706 has the Lowest Median Female Earnings in Wisconsin with $3,748.
What is the Median Female Earnings in the State of Wisconsin?
Median Female Earnings in Wisconsin is $35,339.
What is the Median Female Earnings in the United States?
Median Female Earnings in the United States is $35,367.