Zip Codes with the Highest Inequality / Gini Index in Maryland

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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
Maryland
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Inequality / Gini Index in Maryland

Zip Code Inequality / Gini Index vs State vs National
1.216750.780.46(+0.328)#10.48(+0.301)#11
2.218140.610.46(+0.158)#20.48(+0.131)#272
3.216710.580.46(+0.120)#30.48(+0.093)#616
4.211530.570.46(+0.112)#40.48(+0.085)#754
5.219120.560.46(+0.106)#50.48(+0.079)#871
6.218420.560.46(+0.105)#60.48(+0.078)#881
7.217800.560.46(+0.102)#70.48(+0.075)#962
8.216220.550.46(+0.092)#80.48(+0.065)#1,202
9.212010.550.46(+0.092)#90.48(+0.065)#1,207
10.212170.540.46(+0.084)#100.48(+0.057)#1,420
11.212180.540.46(+0.084)#110.48(+0.057)#1,447
12.212150.540.46(+0.082)#120.48(+0.055)#1,518
13.215410.540.46(+0.081)#130.48(+0.054)#1,527
14.215420.540.46(+0.080)#140.48(+0.053)#1,573
15.218490.530.46(+0.079)#150.48(+0.052)#1,616
16.216790.530.46(+0.077)#160.48(+0.050)#1,666
17.216650.530.46(+0.077)#170.48(+0.050)#1,687
18.212040.530.46(+0.074)#180.48(+0.047)#1,776
19.216630.530.46(+0.073)#190.48(+0.046)#1,803
20.211630.530.46(+0.070)#200.48(+0.043)#1,928
21.212120.530.46(+0.070)#210.48(+0.043)#1,941
22.208150.530.46(+0.069)#220.48(+0.042)#1,973
23.215360.520.46(+0.068)#230.48(+0.041)#2,060
24.206210.520.46(+0.067)#240.48(+0.040)#2,092
25.216320.520.46(+0.067)#250.48(+0.040)#2,099
26.206800.520.46(+0.067)#260.48(+0.040)#2,113
27.212050.520.46(+0.064)#270.48(+0.037)#2,249
28.216540.520.46(+0.061)#280.48(+0.034)#2,372
29.218220.520.46(+0.059)#290.48(+0.032)#2,485
30.212230.510.46(+0.053)#300.48(+0.026)#2,833
31.212020.510.46(+0.052)#310.48(+0.025)#2,930
32.215500.510.46(+0.051)#320.48(+0.024)#2,992
33.215200.510.46(+0.050)#330.48(+0.023)#3,048
34.208180.510.46(+0.050)#340.48(+0.023)#3,090
35.218010.500.46(+0.049)#350.48(+0.022)#3,131
36.218410.500.46(+0.047)#360.48(+0.020)#3,266
37.207110.500.46(+0.046)#370.48(+0.019)#3,358
38.217940.500.46(+0.046)#380.48(+0.019)#3,367
39.218630.500.46(+0.046)#390.48(+0.019)#3,387
40.216130.500.46(+0.045)#400.48(+0.018)#3,445
41.208140.500.46(+0.045)#410.48(+0.018)#3,462
42.209120.500.46(+0.044)#420.48(+0.017)#3,481
43.212390.500.46(+0.042)#430.48(+0.015)#3,644
44.212090.500.46(+0.041)#440.48(+0.014)#3,694
45.216010.500.46(+0.039)#450.48(+0.012)#3,848
46.212100.490.46(+0.039)#460.48(+0.012)#3,905
47.216450.490.46(+0.037)#470.48(+0.010)#4,052
48.212300.490.46(+0.036)#480.48(+0.009)#4,150
49.219150.490.46(+0.033)#490.48(+0.006)#4,438
50.208170.490.46(+0.032)#500.48(+0.005)#4,488
51.216290.490.46(+0.031)#510.48(+0.004)#4,626
52.210300.490.46(+0.030)#520.48(+0.004)#4,633
53.212190.480.46(+0.028)#530.48(+0.002)#4,836
54.214030.480.46(+0.026)#540.48(-0.001)#5,160
55.212310.480.46(+0.024)#550.48(-0.003)#5,311
56.212080.480.46(+0.023)#560.48(-0.004)#5,419
57.208160.480.46(+0.023)#570.48(-0.004)#5,439
58.214010.480.46(+0.022)#580.48(-0.005)#5,534
59.215450.480.46(+0.022)#590.48(-0.005)#5,557
60.216730.480.46(+0.019)#600.48(-0.008)#5,868
61.212860.470.46(+0.019)#610.48(-0.008)#5,885
62.212240.470.46(+0.017)#620.48(-0.010)#6,094
63.216190.470.46(+0.015)#630.48(-0.012)#6,416
64.218530.470.46(+0.015)#640.48(-0.012)#6,471
65.211360.470.46(+0.014)#650.48(-0.013)#6,529
66.207400.470.46(+0.014)#660.48(-0.013)#6,557
67.212250.470.46(+0.013)#670.48(-0.014)#6,661
68.215570.470.46(+0.012)#680.48(-0.015)#6,873
69.216200.470.46(+0.011)#690.48(-0.016)#6,960
70.216120.470.46(+0.010)#700.48(-0.017)#7,050
71.216620.470.46(+0.010)#710.48(-0.017)#7,149
72.212160.460.46(+0.008)#720.48(-0.019)#7,399
73.210930.460.46(+0.006)#730.48(-0.021)#7,618
74.217400.460.46(+0.006)#740.48(-0.021)#7,679
75.207700.460.46(+0.005)#750.48(-0.022)#7,898
76.216380.460.46(+0.004)#760.48(-0.023)#7,918
77.216610.460.46(+0.004)#770.48(-0.023)#7,981
78.207810.460.46(+0.004)#780.48(-0.023)#7,988
79.215310.460.46(+0.004)#790.48(-0.023)#8,058
80.215610.460.46(+0.003)#800.48(-0.024)#8,132
81.207760.460.46(+0.003)#810.48(-0.024)#8,149
82.208950.460.46(+0.003)#820.48(-0.024)#8,175
83.215290.460.46(+0.003)#830.48(-0.024)#8,182
84.208520.460.46(+0.001)#840.48(-0.026)#8,423
85.212270.460.46(+0.001)#850.48(-0.026)#8,468
86.207790.460.46(+0.001)#860.48(-0.026)#8,490
87.215320.460.46(-0.001)#870.48(-0.028)#8,707
88.208600.450.46(-0.003)#880.48(-0.030)#9,081
89.212200.450.46(-0.003)#890.48(-0.030)#9,112
90.212130.450.46(-0.005)#900.48(-0.031)#9,356
91.218170.450.46(-0.005)#910.48(-0.032)#9,398
92.218510.450.46(-0.006)#920.48(-0.033)#9,559
93.215620.450.46(-0.006)#930.48(-0.033)#9,661
94.215020.450.46(-0.007)#940.48(-0.034)#9,732
95.212220.450.46(-0.008)#950.48(-0.035)#10,050
96.206620.450.46(-0.009)#960.48(-0.035)#10,084
97.218110.450.46(-0.009)#970.48(-0.036)#10,134
98.217190.450.46(-0.009)#980.48(-0.036)#10,247
99.211520.450.46(-0.010)#990.48(-0.037)#10,322
100.217500.440.46(-0.011)#1000.48(-0.038)#10,606

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Maryland?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Maryland are:
#1
0.78
#2
0.61
#3
0.58
#4
0.57
#5
0.56
#6
0.56
#7
0.56
#8
0.55
#9
0.55
#10
0.54
What zip code has the Highest Inequality / Gini Index in Maryland?
21675 has the Highest Inequality / Gini Index in Maryland with 0.78.
What is the Inequality / Gini Index in the State of Maryland?
Inequality / Gini Index in Maryland is 0.46.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.