Zip Codes with the Highest Male / Female Ratio in Maryland

RELATED REPORTS & OPTIONS

Male / Female Ratio
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 Male / Female Ratio in Maryland

0.00
15,000.00
Zip Codes with the Highest Male / Female Ratio in Maryland Map

Zip Codes with the Highest Male / Female Ratio in Maryland

Zip Code Males / 100 Females vs State vs National
1. 21890 12,184.00 95.06 (+12.1k)#1 98.38 (+12.1k)#10
2. 20889 315.79 95.06 (+221)#2 98.38 (+217)#293
3. 21251 246.74 95.06 (+152)#3 98.38 (+148)#448
4. 21866 215.15 95.06 (+120)#4 98.38 (+117)#626
5. 21667 211.43 95.06 (+116)#5 98.38 (+113)#659
6. 21402 208.83 95.06 (+114)#6 98.38 (+110)#676
7. 21010 191.89 95.06 (+96.8)#7 98.38 (+93.5)#853
8. 20794 180.33 95.06 (+85.3)#8 98.38 (+81.9)#1,024
9. 21676 177.50 95.06 (+82.4)#9 98.38 (+79.1)#1,067
10. 20763 172.60 95.06 (+77.5)#10 98.38 (+74.2)#1,159
11. 20628 167.37 95.06 (+72.3)#11 98.38 (+69.0)#1,273
12. 21672 156.82 95.06 (+61.8)#12 98.38 (+58.4)#1,562
13. 21872 151.32 95.06 (+56.3)#13 98.38 (+52.9)#1,766
14. 21649 150.00 95.06 (+54.9)#14 98.38 (+51.6)#1,826
15. 21538 149.34 95.06 (+54.3)#15 98.38 (+51.0)#1,875
16. 21766 147.27 95.06 (+52.2)#16 98.38 (+48.9)#1,988
17. 20626 143.88 95.06 (+48.8)#17 98.38 (+45.5)#2,156
18. 20880 140.64 95.06 (+45.6)#18 98.38 (+42.3)#2,359
19. 21647 139.36 95.06 (+44.3)#19 98.38 (+41.0)#2,454
20. 21542 138.57 95.06 (+43.5)#20 98.38 (+40.2)#2,515
21. 20689 137.28 95.06 (+42.2)#21 98.38 (+38.9)#2,609
22. 21607 137.27 95.06 (+42.2)#22 98.38 (+38.9)#2,610
23. 20664 136.80 95.06 (+41.7)#23 98.38 (+38.4)#2,659
24. 20629 136.64 95.06 (+41.6)#24 98.38 (+38.3)#2,680
25. 20751 134.35 95.06 (+39.3)#25 98.38 (+36.0)#2,914
26. 21865 133.93 95.06 (+38.9)#26 98.38 (+35.5)#2,964
27. 21902 132.41 95.06 (+37.3)#27 98.38 (+34.0)#3,136
28. 21541 131.68 95.06 (+36.6)#28 98.38 (+33.3)#3,211
29. 21612 130.17 95.06 (+35.1)#29 98.38 (+31.8)#3,389
30. 21856 129.85 95.06 (+34.8)#30 98.38 (+31.5)#3,428
31. 20615 129.82 95.06 (+34.8)#31 98.38 (+31.4)#3,431
32. 21531 128.34 95.06 (+33.3)#32 98.38 (+30.0)#3,622
33. 21636 128.25 95.06 (+33.2)#33 98.38 (+29.9)#3,638
34. 21767 127.34 95.06 (+32.3)#34 98.38 (+29.0)#3,776
35. 21671 126.12 95.06 (+31.1)#35 98.38 (+27.7)#3,959
36. 20692 126.02 95.06 (+31.0)#36 98.38 (+27.6)#3,970
37. 21640 124.14 95.06 (+29.1)#37 98.38 (+25.8)#4,285
38. 20777 123.46 95.06 (+28.4)#38 98.38 (+25.1)#4,405
39. 21502 123.42 95.06 (+28.4)#39 98.38 (+25.0)#4,409
40. 21757 123.30 95.06 (+28.2)#40 98.38 (+24.9)#4,423
41. 21623 122.94 95.06 (+27.9)#41 98.38 (+24.6)#4,492
42. 21530 122.88 95.06 (+27.8)#42 98.38 (+24.5)#4,507
43. 20611 122.73 95.06 (+27.7)#43 98.38 (+24.3)#4,538
44. 21154 121.42 95.06 (+26.4)#44 98.38 (+23.0)#4,812
45. 20783 120.82 95.06 (+25.8)#45 98.38 (+22.4)#4,956
46. 20623 120.75 95.06 (+25.7)#46 98.38 (+22.4)#4,964
47. 21648 120.73 95.06 (+25.7)#47 98.38 (+22.3)#4,971
48. 20759 120.09 95.06 (+25.0)#48 98.38 (+21.7)#5,120
49. 21813 120.08 95.06 (+25.0)#49 98.38 (+21.7)#5,124
50. 21626 119.35 95.06 (+24.3)#50 98.38 (+21.0)#5,304
51. 21777 119.33 95.06 (+24.3)#51 98.38 (+20.9)#5,309
52. 20781 119.09 95.06 (+24.0)#52 98.38 (+20.7)#5,359
53. 20838 119.05 95.06 (+24.0)#53 98.38 (+20.7)#5,366
54. 21645 119.04 95.06 (+24.0)#54 98.38 (+20.7)#5,373
55. 21539 118.46 95.06 (+23.4)#55 98.38 (+20.1)#5,505
56. 21791 118.40 95.06 (+23.3)#56 98.38 (+20.0)#5,523
57. 21867 118.18 95.06 (+23.1)#57 98.38 (+19.8)#5,583
58. 20637 117.52 95.06 (+22.5)#58 98.38 (+19.1)#5,776
59. 21782 117.49 95.06 (+22.4)#59 98.38 (+19.1)#5,790
60. 21713 117.37 95.06 (+22.3)#60 98.38 (+19.0)#5,828
61. 20841 117.16 95.06 (+22.1)#61 98.38 (+18.8)#5,894
62. 20758 116.80 95.06 (+21.7)#62 98.38 (+18.4)#6,001
63. 20609 116.78 95.06 (+21.7)#63 98.38 (+18.4)#6,009
64. 21036 116.45 95.06 (+21.4)#64 98.38 (+18.1)#6,129
65. 20608 116.13 95.06 (+21.1)#65 98.38 (+17.7)#6,232
66. 20621 115.88 95.06 (+20.8)#66 98.38 (+17.5)#6,299
67. 20620 115.80 95.06 (+20.7)#67 98.38 (+17.4)#6,322
68. 21071 114.69 95.06 (+19.6)#68 98.38 (+16.3)#6,700
69. 21653 114.29 95.06 (+19.2)#69 98.38 (+15.9)#6,854
70. 20765 114.18 95.06 (+19.1)#70 98.38 (+15.8)#6,893
71. 20754 114.05 95.06 (+19.0)#71 98.38 (+15.7)#6,936
72. 20676 113.80 95.06 (+18.7)#72 98.38 (+15.4)#7,034
73. 21084 113.45 95.06 (+18.4)#73 98.38 (+15.1)#7,166
74. 21013 112.64 95.06 (+17.6)#74 98.38 (+14.3)#7,456
75. 21754 112.59 95.06 (+17.5)#75 98.38 (+14.2)#7,473
76. 20737 112.14 95.06 (+17.1)#76 98.38 (+13.8)#7,677
77. 21704 111.85 95.06 (+16.8)#77 98.38 (+13.5)#7,803
78. 20839 111.84 95.06 (+16.8)#78 98.38 (+13.5)#7,804
79. 20634 111.50 95.06 (+16.4)#79 98.38 (+13.1)#7,946
80. 21131 111.27 95.06 (+16.2)#80 98.38 (+12.9)#8,051
81. 21794 111.25 95.06 (+16.2)#81 98.38 (+12.9)#8,057
82. 21111 111.17 95.06 (+16.1)#82 98.38 (+12.8)#8,088
83. 21776 110.88 95.06 (+15.8)#83 98.38 (+12.5)#8,231
84. 21048 110.37 95.06 (+15.3)#84 98.38 (+12.0)#8,472
85. 21710 109.58 95.06 (+14.5)#85 98.38 (+11.2)#8,854
86. 21032 109.48 95.06 (+14.4)#86 98.38 (+11.1)#8,903
87. 21770 109.47 95.06 (+14.4)#87 98.38 (+11.1)#8,916
88. 21202 109.33 95.06 (+14.3)#88 98.38 (+11.0)#8,980
89. 21675 109.09 95.06 (+14.0)#89 98.38 (+10.7)#9,101
90. 20764 109.05 95.06 (+14.0)#90 98.38 (+10.7)#9,122
91. 21034 109.05 95.06 (+14.0)#91 98.38 (+10.7)#9,127
92. 21863 108.53 95.06 (+13.5)#92 98.38 (+10.1)#9,408
93. 20670 108.47 95.06 (+13.4)#93 98.38 (+10.1)#9,436
94. 21901 107.97 95.06 (+12.9)#94 98.38 (+9.59)#9,745
95. 21120 107.69 95.06 (+12.6)#95 98.38 (+9.31)#9,930
96. 21128 107.45 95.06 (+12.4)#96 98.38 (+9.06)#10,071
97. 21651 107.43 95.06 (+12.4)#97 98.38 (+9.04)#10,087
98. 20755 107.22 95.06 (+12.2)#98 98.38 (+8.84)#10,233
99. 20742 107.14 95.06 (+12.1)#99 98.38 (+8.76)#10,293
100. 20779 107.10 95.06 (+12.0)#100 98.38 (+8.71)#10,324

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Maryland?
Top 10 Zip Codes with the Highest Male / Female Ratio in Maryland are:
#1
12,184.00
#2
315.79
#3
246.74
#4
215.15
#5
211.43
#6
208.83
#7
191.89
#8
180.33
#9
177.50
#10
172.60
What zip code has the Highest Male / Female Ratio in Maryland?
21890 has the Highest Male / Female Ratio in Maryland with 12,184.00.
What is the Male to Female Ratio in the State of Maryland?
Male to Female Ratio in Maryland is 95.06.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.