Zip Codes with the Lowest Median Female Earnings in Ohio

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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
Ohio
Compare Zip Codes
Comparison Subject

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

$25,000
$0
Zip Codes with the Lowest Median Female Earnings in Ohio Map

Zip Codes with the Lowest Median Female Earnings in Ohio

Zip Code Earnings vs State vs National
1.45646$2,499$33,651(-31.2k)#1$35,367(-32.9k)#11
2.45741$2,499$33,651(-31.2k)#2$35,367(-32.9k)#23
3.45469$2,499$33,651(-31.2k)#3$35,367(-32.9k)#51
4.44828$2,499$33,651(-31.2k)#4$35,367(-32.9k)#55
5.43210$3,427$33,651(-30.2k)#5$35,367(-31.9k)#125
6.43403$4,358$33,651(-29.3k)#6$35,367(-31.0k)#223
7.45435$4,732$33,651(-28.9k)#7$35,367(-30.6k)#257
8.44243$4,797$33,651(-28.9k)#8$35,367(-30.6k)#261
9.45384$5,063$33,651(-28.6k)#9$35,367(-30.3k)#275
10.44607$5,500$33,651(-28.2k)#10$35,367(-29.9k)#296
11.44325$5,810$33,651(-27.8k)#11$35,367(-29.6k)#310
12.43022$5,885$33,651(-27.8k)#12$35,367(-29.5k)#313
13.45409$6,013$33,651(-27.6k)#13$35,367(-29.4k)#317
14.45056$8,388$33,651(-25.3k)#14$35,367(-27.0k)#380
15.45314$8,465$33,651(-25.2k)#15$35,367(-26.9k)#383
16.44308$8,506$33,651(-25.1k)#16$35,367(-26.9k)#387
17.44503$9,479$33,651(-24.2k)#17$35,367(-25.9k)#415
18.45701$10,169$33,651(-23.5k)#18$35,367(-25.2k)#434
19.45219$10,825$33,651(-22.8k)#19$35,367(-24.5k)#459
20.45810$10,907$33,651(-22.7k)#20$35,367(-24.5k)#462
21.45156$11,563$33,651(-22.1k)#21$35,367(-23.8k)#515
22.44850$11,667$33,651(-22.0k)#22$35,367(-23.7k)#526
23.45115$11,895$33,651(-21.8k)#23$35,367(-23.5k)#539
24.44510$12,283$33,651(-21.4k)#24$35,367(-23.1k)#566
25.44304$12,408$33,651(-21.2k)#25$35,367(-23.0k)#578
26.44101$12,802$33,651(-20.8k)#26$35,367(-22.6k)#590
27.44311$13,041$33,651(-20.6k)#27$35,367(-22.3k)#603
28.44074$13,443$33,651(-20.2k)#28$35,367(-21.9k)#638
29.43768$13,750$33,651(-19.9k)#29$35,367(-21.6k)#662
30.45051$13,831$33,651(-19.8k)#30$35,367(-21.5k)#675
31.44493$14,028$33,651(-19.6k)#31$35,367(-21.3k)#700
32.43077$14,323$33,651(-19.3k)#32$35,367(-21.0k)#742
33.44234$14,531$33,651(-19.1k)#33$35,367(-20.8k)#759
34.44606$14,826$33,651(-18.8k)#34$35,367(-20.5k)#802
35.45851$14,914$33,651(-18.7k)#35$35,367(-20.5k)#815
36.44502$15,513$33,651(-18.1k)#36$35,367(-19.9k)#888
37.43946$15,645$33,651(-18.0k)#37$35,367(-19.7k)#903
38.45674$15,677$33,651(-18.0k)#38$35,367(-19.7k)#907
39.43788$15,750$33,651(-17.9k)#39$35,367(-19.6k)#919
40.44633$16,090$33,651(-17.6k)#40$35,367(-19.3k)#970
41.45225$16,734$33,651(-16.9k)#41$35,367(-18.6k)#1,121
42.43010$16,833$33,651(-16.8k)#42$35,367(-18.5k)#1,156
43.43786$16,875$33,651(-16.8k)#43$35,367(-18.5k)#1,176
44.44625$17,083$33,651(-16.6k)#44$35,367(-18.3k)#1,211
45.43740$17,083$33,651(-16.6k)#45$35,367(-18.3k)#1,213
46.45645$17,190$33,651(-16.5k)#46$35,367(-18.2k)#1,239
47.45766$17,308$33,651(-16.3k)#47$35,367(-18.1k)#1,253
48.43150$17,661$33,651(-16.0k)#48$35,367(-17.7k)#1,328
49.44702$17,869$33,651(-15.8k)#49$35,367(-17.5k)#1,361
50.43926$17,917$33,651(-15.7k)#50$35,367(-17.4k)#1,368
51.44693$18,750$33,651(-14.9k)#51$35,367(-16.6k)#1,592
52.44609$19,093$33,651(-14.6k)#52$35,367(-16.3k)#1,669
53.43952$19,109$33,651(-14.5k)#53$35,367(-16.3k)#1,672
54.45389$19,219$33,651(-14.4k)#54$35,367(-16.1k)#1,700
55.43521$19,306$33,651(-14.3k)#55$35,367(-16.1k)#1,728
56.44681$19,408$33,651(-14.2k)#56$35,367(-16.0k)#1,759
57.45316$19,500$33,651(-14.2k)#57$35,367(-15.9k)#1,792
58.43402$19,649$33,651(-14.0k)#58$35,367(-15.7k)#1,841
59.45164$19,688$33,651(-14.0k)#59$35,367(-15.7k)#1,852
60.44062$19,715$33,651(-13.9k)#60$35,367(-15.7k)#1,861
61.44695$19,881$33,651(-13.8k)#61$35,367(-15.5k)#1,920
62.43607$19,952$33,651(-13.7k)#62$35,367(-15.4k)#1,936
63.43939$20,000$33,651(-13.7k)#63$35,367(-15.4k)#1,964
64.43501$20,192$33,651(-13.5k)#64$35,367(-15.2k)#2,006
65.45621$20,446$33,651(-13.2k)#65$35,367(-14.9k)#2,083
66.43840$20,481$33,651(-13.2k)#66$35,367(-14.9k)#2,093
67.43973$20,491$33,651(-13.2k)#67$35,367(-14.9k)#2,095
68.44689$20,521$33,651(-13.1k)#68$35,367(-14.8k)#2,103
69.44507$20,625$33,651(-13.0k)#69$35,367(-14.7k)#2,130
70.45361$20,625$33,651(-13.0k)#70$35,367(-14.7k)#2,135
71.45404$20,651$33,651(-13.0k)#71$35,367(-14.7k)#2,145
72.43201$20,712$33,651(-12.9k)#72$35,367(-14.7k)#2,160
73.43758$20,827$33,651(-12.8k)#73$35,367(-14.5k)#2,205
74.45620$20,893$33,651(-12.8k)#74$35,367(-14.5k)#2,234
75.44307$20,953$33,651(-12.7k)#75$35,367(-14.4k)#2,271
76.43345$21,019$33,651(-12.6k)#76$35,367(-14.3k)#2,300
77.44485$21,035$33,651(-12.6k)#77$35,367(-14.3k)#2,305
78.43908$21,146$33,651(-12.5k)#78$35,367(-14.2k)#2,343
79.44115$21,329$33,651(-12.3k)#79$35,367(-14.0k)#2,433
80.45783$21,367$33,651(-12.3k)#80$35,367(-14.0k)#2,454
81.44504$21,400$33,651(-12.3k)#81$35,367(-14.0k)#2,470
82.43430$21,534$33,651(-12.1k)#82$35,367(-13.8k)#2,540
83.43913$21,541$33,651(-12.1k)#83$35,367(-13.8k)#2,544
84.43824$21,580$33,651(-12.1k)#84$35,367(-13.8k)#2,560
85.43843$21,625$33,651(-12.0k)#85$35,367(-13.7k)#2,587
86.43845$21,707$33,651(-11.9k)#86$35,367(-13.7k)#2,636
87.43604$21,717$33,651(-11.9k)#87$35,367(-13.7k)#2,643
88.45158$21,776$33,651(-11.9k)#88$35,367(-13.6k)#2,682
89.43464$21,808$33,651(-11.8k)#89$35,367(-13.6k)#2,703
90.45808$21,842$33,651(-11.8k)#90$35,367(-13.5k)#2,714
91.43787$22,056$33,651(-11.6k)#91$35,367(-13.3k)#2,845
92.43112$22,089$33,651(-11.6k)#92$35,367(-13.3k)#2,869
93.43720$22,098$33,651(-11.6k)#93$35,367(-13.3k)#2,875
94.45812$22,286$33,651(-11.4k)#94$35,367(-13.1k)#2,993
95.44705$22,312$33,651(-11.3k)#95$35,367(-13.1k)#3,007
96.44003$22,326$33,651(-11.3k)#96$35,367(-13.0k)#3,016
97.45144$22,380$33,651(-11.3k)#97$35,367(-13.0k)#3,047
98.43724$22,451$33,651(-11.2k)#98$35,367(-12.9k)#3,087
99.45433$22,500$33,651(-11.2k)#99$35,367(-12.9k)#3,108
100.44618$22,564$33,651(-11.1k)#100$35,367(-12.8k)#3,146

Common Questions

What are the Top 10 Zip Codes with the Lowest Median Female Earnings in Ohio?
Top 10 Zip Codes with the Lowest Median Female Earnings in Ohio are:
#1
$2,499
#2
$2,499
#3
$2,499
#4
$2,499
#5
$3,427
#6
$4,358
#7
$4,732
#8
$4,797
#9
$5,063
#10
$5,500
What zip code has the Lowest Median Female Earnings in Ohio?
45646 has the Lowest Median Female Earnings in Ohio with $2,499.
What is the Median Female Earnings in the State of Ohio?
Median Female Earnings in Ohio is $33,651.
What is the Median Female Earnings in the United States?
Median Female Earnings in the United States is $35,367.