Zip Codes with the Lowest Inequality / Gini Index in Ohio

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Lowest 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 Lowest Inequality / Gini Index in Ohio

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Zip Codes with the Lowest Inequality / Gini Index in Ohio Map

Zip Codes with the Lowest Inequality / Gini Index in Ohio

Zip Code Inequality / Gini Index vs State vs National
1.451050.020.47(-0.445)#10.48(-0.461)#35
2.433250.030.47(-0.436)#20.48(-0.453)#51
3.433460.040.47(-0.423)#30.48(-0.440)#73
4.434140.050.47(-0.420)#40.48(-0.436)#83
5.439670.050.47(-0.416)#50.48(-0.432)#96
6.439250.070.47(-0.401)#60.48(-0.418)#123
7.439020.070.47(-0.401)#70.48(-0.418)#124
8.442740.080.47(-0.391)#80.48(-0.407)#145
9.448610.080.47(-0.387)#90.48(-0.404)#155
10.451660.080.47(-0.383)#100.48(-0.400)#165
11.458700.100.47(-0.367)#110.48(-0.383)#220
12.448500.110.47(-0.361)#120.48(-0.378)#233
13.446930.110.47(-0.352)#130.48(-0.368)#258
14.439280.120.47(-0.349)#140.48(-0.365)#268
15.458380.120.47(-0.343)#150.48(-0.360)#289
16.431110.130.47(-0.338)#160.48(-0.354)#306
17.434390.130.47(-0.333)#170.48(-0.349)#332
18.434630.140.47(-0.324)#180.48(-0.341)#360
19.440800.150.47(-0.312)#190.48(-0.328)#404
20.453010.160.47(-0.308)#200.48(-0.325)#418
21.437350.160.47(-0.307)#210.48(-0.323)#424
22.446190.160.47(-0.304)#220.48(-0.321)#437
23.439720.170.47(-0.297)#230.48(-0.313)#475
24.454690.170.47(-0.295)#240.48(-0.311)#488
25.458150.170.47(-0.294)#250.48(-0.311)#489
26.438050.170.47(-0.294)#260.48(-0.311)#491
27.453500.180.47(-0.287)#270.48(-0.304)#528
28.458970.180.47(-0.284)#280.48(-0.301)#547
29.430180.180.47(-0.281)#290.48(-0.298)#563
30.435230.190.47(-0.274)#300.48(-0.290)#613
31.448280.200.47(-0.263)#310.48(-0.279)#691
32.430050.210.47(-0.261)#320.48(-0.277)#706
33.456360.210.47(-0.258)#330.48(-0.274)#727
34.431270.210.47(-0.257)#340.48(-0.274)#735
35.446700.210.47(-0.256)#350.48(-0.273)#740
36.446070.210.47(-0.253)#360.48(-0.270)#766
37.430270.230.47(-0.237)#370.48(-0.254)#929
38.458930.240.47(-0.231)#380.48(-0.248)#993
39.433600.240.47(-0.226)#390.48(-0.243)#1,044
40.434680.240.47(-0.226)#400.48(-0.243)#1,045
41.444930.240.47(-0.224)#410.48(-0.240)#1,066
42.450550.240.47(-0.224)#420.48(-0.240)#1,068
43.450510.250.47(-0.220)#430.48(-0.236)#1,120
44.435360.250.47(-0.220)#440.48(-0.236)#1,124
45.435470.250.47(-0.217)#450.48(-0.233)#1,162
46.451720.250.47(-0.216)#460.48(-0.233)#1,174
47.430300.250.47(-0.216)#470.48(-0.233)#1,175
48.435310.250.47(-0.215)#480.48(-0.232)#1,187
49.456730.250.47(-0.213)#490.48(-0.230)#1,217
50.438420.250.47(-0.213)#500.48(-0.230)#1,219
51.458680.260.47(-0.209)#510.48(-0.225)#1,284
52.435550.260.47(-0.205)#520.48(-0.222)#1,334
53.446390.260.47(-0.205)#530.48(-0.221)#1,344
54.448040.260.47(-0.203)#540.48(-0.219)#1,366
55.448560.270.47(-0.200)#550.48(-0.217)#1,398
56.437790.270.47(-0.200)#560.48(-0.217)#1,401
57.440680.270.47(-0.199)#570.48(-0.216)#1,415
58.451120.270.47(-0.196)#580.48(-0.213)#1,465
59.448870.270.47(-0.195)#590.48(-0.212)#1,477
60.453160.270.47(-0.195)#600.48(-0.211)#1,485
61.431090.280.47(-0.191)#610.48(-0.207)#1,571
62.434450.280.47(-0.191)#620.48(-0.207)#1,573
63.458880.280.47(-0.190)#630.48(-0.207)#1,577
64.458660.280.47(-0.189)#640.48(-0.206)#1,603
65.453880.280.47(-0.189)#650.48(-0.206)#1,608
66.444240.280.47(-0.188)#660.48(-0.204)#1,654
67.437220.280.47(-0.187)#670.48(-0.203)#1,668
68.453890.280.47(-0.186)#680.48(-0.203)#1,673
69.439400.280.47(-0.186)#690.48(-0.203)#1,681
70.458540.280.47(-0.185)#700.48(-0.202)#1,702
71.458480.280.47(-0.185)#710.48(-0.201)#1,705
72.437380.280.47(-0.184)#720.48(-0.200)#1,737
73.433300.280.47(-0.184)#730.48(-0.200)#1,738
74.446650.280.47(-0.183)#740.48(-0.200)#1,757
75.458940.280.47(-0.182)#750.48(-0.199)#1,774
76.433450.280.47(-0.182)#760.48(-0.198)#1,782
77.456780.290.47(-0.181)#770.48(-0.197)#1,803
78.446250.290.47(-0.177)#780.48(-0.194)#1,885
79.446690.290.47(-0.176)#790.48(-0.193)#1,916
80.437860.290.47(-0.176)#800.48(-0.193)#1,922
81.433590.290.47(-0.176)#810.48(-0.192)#1,923
82.453300.290.47(-0.174)#820.48(-0.191)#1,953
83.442850.290.47(-0.174)#830.48(-0.191)#1,964
84.448250.290.47(-0.173)#840.48(-0.190)#1,986
85.453070.290.47(-0.172)#850.48(-0.188)#2,014
86.446600.290.47(-0.171)#860.48(-0.188)#2,025
87.458080.300.47(-0.169)#870.48(-0.185)#2,083
88.453460.300.47(-0.169)#880.48(-0.185)#2,087
89.430450.300.47(-0.169)#890.48(-0.185)#2,088
90.451150.300.47(-0.168)#900.48(-0.185)#2,106
91.453780.300.47(-0.168)#910.48(-0.184)#2,123
92.446530.300.47(-0.167)#920.48(-0.184)#2,133
93.433580.300.47(-0.167)#930.48(-0.183)#2,137
94.435570.300.47(-0.166)#940.48(-0.183)#2,168
95.431580.300.47(-0.165)#950.48(-0.181)#2,209
96.430370.300.47(-0.164)#960.48(-0.180)#2,251
97.458670.300.47(-0.162)#970.48(-0.179)#2,298
98.446820.300.47(-0.162)#980.48(-0.179)#2,310
99.456200.300.47(-0.162)#990.48(-0.178)#2,316
100.446400.310.47(-0.161)#1000.48(-0.177)#2,353

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in Ohio?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in Ohio are:
#1
0.02
#2
0.03
#3
0.04
#4
0.05
#5
0.05
#6
0.07
#7
0.07
#8
0.08
#9
0.08
#10
0.08
What zip code has the Lowest Inequality / Gini Index in Ohio?
45105 has the Lowest Inequality / Gini Index in Ohio with 0.02.
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.