Zip Codes with the Highest Inequality / Gini Index in Ohio

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Highest Inequality / Gini Index
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 Highest Inequality / Gini Index in Ohio

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0.80
Zip Codes with the Highest Inequality / Gini Index in Ohio Map

Zip Codes with the Highest Inequality / Gini Index in Ohio

Zip Code Inequality / Gini Index vs State vs National
1.443080.760.47(+0.298)#10.48(+0.282)#14
2.434320.740.47(+0.278)#20.48(+0.261)#20
3.452070.670.47(+0.202)#30.48(+0.186)#99
4.436040.630.47(+0.168)#40.48(+0.152)#187
5.441150.620.47(+0.154)#50.48(+0.137)#241
6.441060.620.47(+0.153)#60.48(+0.136)#245
7.457410.610.47(+0.141)#70.48(+0.124)#321
8.452290.610.47(+0.140)#80.48(+0.124)#327
9.440320.600.47(+0.130)#90.48(+0.114)#404
10.436200.590.47(+0.123)#100.48(+0.107)#466
11.437540.580.47(+0.117)#110.48(+0.101)#535
12.441200.580.47(+0.115)#120.48(+0.099)#556
13.449020.580.47(+0.110)#130.48(+0.093)#614
14.456300.570.47(+0.108)#140.48(+0.091)#655
15.452060.570.47(+0.107)#150.48(+0.090)#670
16.452030.570.47(+0.102)#160.48(+0.086)#739
17.441080.570.47(+0.100)#170.48(+0.084)#771
18.452200.560.47(+0.098)#180.48(+0.081)#826
19.457350.560.47(+0.094)#190.48(+0.078)#892
20.457750.560.47(+0.093)#200.48(+0.077)#919
21.444390.560.47(+0.093)#210.48(+0.076)#931
22.432010.550.47(+0.086)#220.48(+0.069)#1,092
23.458840.550.47(+0.085)#230.48(+0.069)#1,100
24.441270.550.47(+0.081)#240.48(+0.065)#1,206
25.454020.550.47(+0.081)#250.48(+0.064)#1,217
26.451440.550.47(+0.080)#260.48(+0.064)#1,231
27.452140.550.47(+0.079)#270.48(+0.062)#1,272
28.440220.540.47(+0.076)#280.48(+0.059)#1,352
29.454090.540.47(+0.075)#290.48(+0.058)#1,386
30.437190.540.47(+0.075)#300.48(+0.058)#1,393
31.457010.540.47(+0.074)#310.48(+0.058)#1,417
32.441130.540.47(+0.074)#320.48(+0.058)#1,418
33.456740.540.47(+0.074)#330.48(+0.057)#1,426
34.452250.540.47(+0.073)#340.48(+0.056)#1,461
35.441020.540.47(+0.072)#350.48(+0.056)#1,475
36.438300.540.47(+0.071)#360.48(+0.055)#1,512
37.453600.540.47(+0.069)#370.48(+0.053)#1,588
38.441030.540.47(+0.069)#380.48(+0.052)#1,605
39.458120.540.47(+0.069)#390.48(+0.052)#1,613
40.452270.530.47(+0.068)#400.48(+0.051)#1,635
41.441170.530.47(+0.067)#410.48(+0.051)#1,658
42.444420.530.47(+0.067)#420.48(+0.051)#1,659
43.432120.530.47(+0.065)#430.48(+0.048)#1,727
44.432220.530.47(+0.065)#440.48(+0.048)#1,732
45.441140.530.47(+0.065)#450.48(+0.048)#1,737
46.444900.530.47(+0.065)#460.48(+0.048)#1,750
47.456440.530.47(+0.064)#470.48(+0.047)#1,779
48.442860.530.47(+0.063)#480.48(+0.046)#1,809
49.431150.530.47(+0.063)#490.48(+0.046)#1,824
50.451600.530.47(+0.062)#500.48(+0.045)#1,850
51.430070.530.47(+0.061)#510.48(+0.044)#1,882
52.452020.530.47(+0.060)#520.48(+0.043)#1,922
53.452040.530.47(+0.060)#530.48(+0.043)#1,937
54.448150.530.47(+0.060)#540.48(+0.043)#1,939
55.445050.530.47(+0.059)#550.48(+0.042)#1,969
56.441220.520.47(+0.057)#560.48(+0.041)#2,047
57.443200.520.47(+0.057)#570.48(+0.041)#2,057
58.430800.520.47(+0.055)#580.48(+0.038)#2,185
59.441120.520.47(+0.055)#590.48(+0.038)#2,193
60.448440.520.47(+0.055)#600.48(+0.038)#2,202
61.439860.520.47(+0.054)#610.48(+0.038)#2,214
62.444850.520.47(+0.054)#620.48(+0.037)#2,239
63.457500.520.47(+0.052)#630.48(+0.035)#2,325
64.452430.520.47(+0.051)#640.48(+0.034)#2,392
65.456900.520.47(+0.050)#650.48(+0.034)#2,406
66.437800.520.47(+0.050)#660.48(+0.033)#2,444
67.443330.520.47(+0.049)#670.48(+0.032)#2,473
68.432090.520.47(+0.049)#680.48(+0.032)#2,479
69.456190.510.47(+0.048)#690.48(+0.032)#2,531
70.441040.510.47(+0.048)#700.48(+0.032)#2,533
71.434380.510.47(+0.047)#710.48(+0.030)#2,588
72.452150.510.47(+0.047)#720.48(+0.030)#2,597
73.452320.510.47(+0.047)#730.48(+0.030)#2,624
74.431370.510.47(+0.045)#740.48(+0.028)#2,718
75.456820.510.47(+0.044)#750.48(+0.027)#2,772
76.452230.510.47(+0.044)#760.48(+0.027)#2,787
77.446560.510.47(+0.044)#770.48(+0.027)#2,799
78.441160.510.47(+0.043)#780.48(+0.027)#2,827
79.442760.510.47(+0.042)#790.48(+0.026)#2,875
80.441240.510.47(+0.041)#800.48(+0.025)#2,933
81.444050.510.47(+0.041)#810.48(+0.024)#2,962
82.432030.510.47(+0.041)#820.48(+0.024)#2,968
83.442400.510.47(+0.041)#830.48(+0.024)#2,999
84.452370.510.47(+0.040)#840.48(+0.024)#3,016
85.432050.510.47(+0.040)#850.48(+0.024)#3,023
86.451760.510.47(+0.040)#860.48(+0.024)#3,024
87.452190.510.47(+0.040)#870.48(+0.023)#3,046
88.442550.510.47(+0.039)#880.48(+0.023)#3,088
89.447180.500.47(+0.038)#890.48(+0.022)#3,146
90.448490.500.47(+0.038)#900.48(+0.022)#3,149
91.434640.500.47(+0.038)#910.48(+0.022)#3,169
92.432200.500.47(+0.038)#920.48(+0.021)#3,175
93.454140.500.47(+0.038)#930.48(+0.021)#3,178
94.456130.500.47(+0.036)#940.48(+0.020)#3,299
95.452550.500.47(+0.036)#950.48(+0.020)#3,318
96.450560.500.47(+0.036)#960.48(+0.020)#3,332
97.437640.500.47(+0.036)#970.48(+0.019)#3,357
98.433180.500.47(+0.035)#980.48(+0.018)#3,417
99.454060.500.47(+0.034)#990.48(+0.018)#3,444
100.434020.500.47(+0.034)#1000.48(+0.018)#3,450

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Ohio?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Ohio are:
#1
0.76
#2
0.74
#3
0.67
#4
0.63
#5
0.62
#6
0.62
#7
0.61
#8
0.61
#9
0.60
#10
0.59
What zip code has the Highest Inequality / Gini Index in Ohio?
44308 has the Highest Inequality / Gini Index in Ohio with 0.76.
What is the Inequality / Gini Index in the State of Ohio?
Inequality / Gini Index in Ohio is 0.47.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.