Zip Codes with the Highest Inequality / Gini Index in Tulsa, OK

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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)
AfghanAfricanAleutAmericanApacheArabArapahoArgentineanArmenianAustralianAustrianBahamianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMalaysianMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSiouxSlavicSlovakSloveneSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAleutAmericanApacheArabArapahoArgentineanArmenianAustralianAustrianBahamianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMalaysianMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSiouxSlavicSlovakSloveneSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelgiumBelizeBoliviaBrazilBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCubaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelgiumBelizeBoliviaBrazilBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCubaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
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Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Tulsa
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Inequality / Gini Index in Tulsa

0.00
0.60
Zip Codes with the Highest Inequality / Gini Index in Tulsa Map

Zip Codes with the Highest Inequality / Gini Index in Tulsa, OK

Zip Code Inequality / Gini Index vs State vs National
1.741050.590.47(+0.124)#40.48(+0.108)#446
2.741140.540.47(+0.074)#200.48(+0.058)#1,385
3.741360.530.47(+0.063)#280.48(+0.047)#1,775
4.741200.520.47(+0.056)#350.48(+0.040)#2,081
5.741040.500.47(+0.031)#620.48(+0.015)#3,620
6.741370.500.47(+0.031)#630.48(+0.015)#3,643
7.741060.490.47(+0.021)#760.48(+0.006)#4,445
8.741350.480.47(+0.014)#950.48(-0.002)#5,182
9.741080.470.47(+0.004)#1230.48(-0.012)#6,488
10.741320.470.47(-0.001)#1420.48(-0.017)#7,154
11.741160.460.47(-0.004)#1550.48(-0.019)#7,442
12.741260.460.47(-0.006)#1620.48(-0.022)#7,777
13.741330.460.47(-0.011)#1790.48(-0.027)#8,553
14.741270.460.47(-0.012)#1800.48(-0.027)#8,672
15.741190.450.47(-0.013)#1870.48(-0.029)#8,927
16.741030.450.47(-0.015)#1970.48(-0.031)#9,256
17.741070.450.47(-0.020)#2200.48(-0.036)#10,093
18.741340.430.47(-0.036)#2990.48(-0.052)#13,262
19.741310.430.47(-0.039)#3140.48(-0.055)#13,898
20.741290.430.47(-0.040)#3170.48(-0.056)#14,089
21.741120.420.47(-0.044)#3440.48(-0.060)#14,874
22.741100.420.47(-0.045)#3490.48(-0.061)#15,026
23.741460.410.47(-0.055)#3970.48(-0.071)#17,253
24.741150.410.47(-0.060)#4190.48(-0.076)#18,219
25.741450.390.47(-0.072)#4720.48(-0.088)#20,781
26.741300.390.47(-0.075)#4830.48(-0.091)#21,347
27.741280.370.47(-0.099)#5460.48(-0.115)#25,269

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Tulsa, OK?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Tulsa, OK are:
#1
0.59
#2
0.54
#3
0.53
#4
0.52
#5
0.50
#6
0.50
#7
0.49
#8
0.48
#9
0.47
#10
0.47
What zip code has the Highest Inequality / Gini Index in Tulsa, OK?
74105 has the Highest Inequality / Gini Index in Tulsa, OK with 0.59.
What is the Inequality / Gini Index in Tulsa, OK?
Inequality / Gini Index in Tulsa is 0.51.
What is the Inequality / Gini Index in Oklahoma?
Inequality / Gini Index in Oklahoma is 0.47.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.