Zip Codes with the Lowest Wage/Income Gap ($) in Maryland

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Lowest Wage/Income Gap ($)
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
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Comparison Subject

Map of Zip Codes with the Lowest Wage/Income Gap ($) in Maryland

$0.2000
$0.0000
Zip Codes with the Lowest Wage/Income Gap ($) in Maryland Map

Zip Codes with the Lowest Wage/Income Gap ($) in Maryland

Zip Code Wage/Income Gap ($) vs State vs National
1.21214$0.0009$0.2190(-0.218)#1$0.2798(-0.279)#22
2.20687$0.0010$0.2190(-0.218)#2$0.2798(-0.279)#25
3.20744$0.0012$0.2190(-0.218)#3$0.2798(-0.279)#34
4.20722$0.0018$0.2190(-0.217)#4$0.2798(-0.278)#55
5.20690$0.0036$0.2190(-0.215)#5$0.2798(-0.276)#98
6.20746$0.0040$0.2190(-0.215)#6$0.2798(-0.276)#108
7.20748$0.0048$0.2190(-0.214)#7$0.2798(-0.275)#127
8.21650$0.0060$0.2190(-0.213)#8$0.2798(-0.274)#155
9.21251$0.0062$0.2190(-0.213)#9$0.2798(-0.274)#159
10.20735$0.0063$0.2190(-0.213)#10$0.2798(-0.273)#164
11.21851$0.0081$0.2190(-0.211)#11$0.2798(-0.272)#210
12.20623$0.0134$0.2190(-0.206)#12$0.2798(-0.266)#339
13.21244$0.0189$0.2190(-0.200)#13$0.2798(-0.261)#479
14.20632$0.0219$0.2190(-0.197)#14$0.2798(-0.258)#558
15.21207$0.0238$0.2190(-0.195)#15$0.2798(-0.256)#608
16.20716$0.0241$0.2190(-0.195)#16$0.2798(-0.256)#614
17.21213$0.0242$0.2190(-0.195)#17$0.2798(-0.256)#616
18.20743$0.0255$0.2190(-0.194)#18$0.2798(-0.254)#659
19.21017$0.0294$0.2190(-0.190)#19$0.2798(-0.250)#755
20.21770$0.0296$0.2190(-0.189)#20$0.2798(-0.250)#761
21.20677$0.0310$0.2190(-0.188)#21$0.2798(-0.249)#808
22.21664$0.0325$0.2190(-0.187)#22$0.2798(-0.247)#845
23.21206$0.0338$0.2190(-0.185)#23$0.2798(-0.246)#881
24.21794$0.0342$0.2190(-0.185)#24$0.2798(-0.246)#895
25.21053$0.0369$0.2190(-0.182)#25$0.2798(-0.243)#973
26.21524$0.0387$0.2190(-0.180)#26$0.2798(-0.241)#1,022
27.20712$0.0433$0.2190(-0.176)#27$0.2798(-0.237)#1,149
28.20637$0.0453$0.2190(-0.174)#28$0.2798(-0.234)#1,208
29.21211$0.0516$0.2190(-0.167)#29$0.2798(-0.228)#1,338
30.21631$0.0524$0.2190(-0.167)#30$0.2798(-0.227)#1,360
31.21216$0.0550$0.2190(-0.164)#31$0.2798(-0.225)#1,429
32.21156$0.0567$0.2190(-0.162)#32$0.2798(-0.223)#1,477
33.21545$0.0570$0.2190(-0.162)#33$0.2798(-0.223)#1,482
34.20770$0.0600$0.2190(-0.159)#34$0.2798(-0.220)#1,582
35.20601$0.0693$0.2190(-0.150)#35$0.2798(-0.211)#1,864
36.20715$0.0699$0.2190(-0.149)#36$0.2798(-0.210)#1,879
37.21835$0.0712$0.2190(-0.148)#37$0.2798(-0.209)#1,919
38.21202$0.0737$0.2190(-0.145)#38$0.2798(-0.206)#2,001
39.21538$0.0740$0.2190(-0.145)#39$0.2798(-0.206)#2,015
40.21052$0.0813$0.2190(-0.138)#40$0.2798(-0.199)#2,211
41.20710$0.0826$0.2190(-0.136)#41$0.2798(-0.197)#2,263
42.21713$0.0848$0.2190(-0.134)#42$0.2798(-0.195)#2,330
43.20912$0.0856$0.2190(-0.133)#43$0.2798(-0.194)#2,349
44.20747$0.0861$0.2190(-0.133)#44$0.2798(-0.194)#2,360
45.20751$0.0865$0.2190(-0.132)#45$0.2798(-0.193)#2,369
46.21223$0.0876$0.2190(-0.131)#46$0.2798(-0.192)#2,403
47.20705$0.0902$0.2190(-0.129)#47$0.2798(-0.190)#2,492
48.21658$0.0905$0.2190(-0.129)#48$0.2798(-0.189)#2,504
49.20714$0.0918$0.2190(-0.127)#49$0.2798(-0.188)#2,540
50.20785$0.0941$0.2190(-0.125)#50$0.2798(-0.186)#2,619
51.21623$0.0947$0.2190(-0.124)#51$0.2798(-0.185)#2,647
52.20707$0.0981$0.2190(-0.121)#52$0.2798(-0.182)#2,750
53.20607$0.0981$0.2190(-0.121)#53$0.2798(-0.182)#2,752
54.20608$0.0989$0.2190(-0.120)#54$0.2798(-0.181)#2,773
55.20860$0.1011$0.2190(-0.118)#55$0.2798(-0.179)#2,861
56.21205$0.1014$0.2190(-0.118)#56$0.2798(-0.178)#2,872
57.21826$0.1019$0.2190(-0.117)#57$0.2798(-0.178)#2,891
58.21607$0.1026$0.2190(-0.116)#58$0.2798(-0.177)#2,916
59.21239$0.1042$0.2190(-0.115)#59$0.2798(-0.176)#2,978
60.21229$0.1098$0.2190(-0.109)#60$0.2798(-0.170)#3,168
61.20611$0.1102$0.2190(-0.109)#61$0.2798(-0.170)#3,177
62.20692$0.1115$0.2190(-0.107)#62$0.2798(-0.168)#3,220
63.21635$0.1182$0.2190(-0.101)#63$0.2798(-0.162)#3,443
64.21863$0.1186$0.2190(-0.100)#64$0.2798(-0.161)#3,452
65.21850$0.1210$0.2190(-0.098)#65$0.2798(-0.159)#3,556
66.21804$0.1225$0.2190(-0.097)#66$0.2798(-0.157)#3,611
67.21622$0.1253$0.2190(-0.094)#67$0.2798(-0.155)#3,715
68.21218$0.1262$0.2190(-0.093)#68$0.2798(-0.154)#3,752
69.20886$0.1279$0.2190(-0.091)#69$0.2798(-0.152)#3,803
70.20762$0.1279$0.2190(-0.091)#70$0.2798(-0.152)#3,805
71.20902$0.1282$0.2190(-0.091)#71$0.2798(-0.152)#3,823
72.21224$0.1303$0.2190(-0.089)#72$0.2798(-0.150)#3,906
73.20781$0.1310$0.2190(-0.088)#73$0.2798(-0.149)#3,934
74.21754$0.1336$0.2190(-0.085)#74$0.2798(-0.146)#4,027
75.20763$0.1342$0.2190(-0.085)#75$0.2798(-0.146)#4,049
76.21778$0.1362$0.2190(-0.083)#76$0.2798(-0.144)#4,106
77.20774$0.1367$0.2190(-0.082)#77$0.2798(-0.143)#4,130
78.20609$0.1370$0.2190(-0.082)#78$0.2798(-0.143)#4,139
79.21610$0.1372$0.2190(-0.082)#79$0.2798(-0.143)#4,144
80.21678$0.1387$0.2190(-0.080)#80$0.2798(-0.141)#4,209
81.21919$0.1412$0.2190(-0.078)#81$0.2798(-0.139)#4,310
82.20616$0.1415$0.2190(-0.078)#82$0.2798(-0.138)#4,326
83.20784$0.1416$0.2190(-0.077)#83$0.2798(-0.138)#4,334
84.21208$0.1455$0.2190(-0.073)#84$0.2798(-0.134)#4,497
85.20706$0.1459$0.2190(-0.073)#85$0.2798(-0.134)#4,508
86.20842$0.1466$0.2190(-0.072)#86$0.2798(-0.133)#4,542
87.20720$0.1489$0.2190(-0.070)#87$0.2798(-0.131)#4,609
88.20603$0.1509$0.2190(-0.068)#88$0.2798(-0.129)#4,702
89.21158$0.1542$0.2190(-0.065)#89$0.2798(-0.126)#4,828
90.21539$0.1546$0.2190(-0.064)#90$0.2798(-0.125)#4,855
91.20723$0.1608$0.2190(-0.058)#91$0.2798(-0.119)#5,114
92.21219$0.1616$0.2190(-0.057)#92$0.2798(-0.118)#5,143
93.21915$0.1635$0.2190(-0.055)#93$0.2798(-0.116)#5,250
94.21057$0.1639$0.2190(-0.055)#94$0.2798(-0.116)#5,271
95.20904$0.1660$0.2190(-0.053)#95$0.2798(-0.114)#5,368
96.21061$0.1673$0.2190(-0.052)#96$0.2798(-0.113)#5,421
97.20841$0.1712$0.2190(-0.048)#97$0.2798(-0.109)#5,608
98.21722$0.1713$0.2190(-0.048)#98$0.2798(-0.109)#5,612
99.21084$0.1715$0.2190(-0.047)#99$0.2798(-0.108)#5,623
100.21221$0.1720$0.2190(-0.047)#100$0.2798(-0.108)#5,644

Common Questions

What are the Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Maryland?
Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Maryland are:
#1
$0.0009
#2
$0.0010
#3
$0.0012
#4
$0.0018
#5
$0.0036
#6
$0.0040
#7
$0.0048
#8
$0.0060
#9
$0.0062
#10
$0.0063
What zip code has the Lowest Wage/Income Gap ($) in Maryland?
21214 has the Lowest Wage/Income Gap ($) in Maryland with $0.0009.
What is the Wage / Income Gap in Dollar Terms in the State of Maryland?
Wage / Income Gap in Dollar Terms in Maryland is $0.2190.
What is the Wage / Income Gap in Dollar Terms in the United States?
Wage / Income Gap in Dollar Terms in the United States is $0.2798.