Zip Codes with the Highest Female / Male Ratio in Maryland

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Female / Male 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 Female / Male Ratio in Maryland

0.00
400.00
Zip Codes with the Highest Female / Male Ratio in Maryland Map

Zip Codes with the Highest Female / Male Ratio in Maryland

Zip Code Females / 100 Males vs State vs National
1.21705400.00105.19(+295)#1101.64(+298)#74
2.21814305.00105.19(+200)#2101.64(+203)#135
3.20899286.49105.19(+181)#3101.64(+185)#154
4.20667231.25105.19(+126)#4101.64(+130)#270
5.21156229.09105.19(+124)#5101.64(+127)#280
6.20693182.71105.19(+77.5)#6101.64(+81.1)#540
7.20701171.92105.19(+66.7)#7101.64(+70.3)#649
8.21643167.50105.19(+62.3)#8101.64(+65.9)#708
9.21641161.40105.19(+56.2)#9101.64(+59.8)#809
10.21717161.25105.19(+56.1)#10101.64(+59.6)#815
11.21153161.00105.19(+55.8)#11101.64(+59.4)#821
12.21052160.71105.19(+55.5)#12101.64(+59.1)#822
13.21524158.74105.19(+53.5)#13101.64(+57.1)#866
14.21634158.45105.19(+53.3)#14101.64(+56.8)#871
15.21622157.78105.19(+52.6)#15101.64(+56.1)#883
16.21864152.60105.19(+47.4)#16101.64(+51.0)#996
17.21665152.31105.19(+47.1)#17101.64(+50.7)#1,006
18.21105150.00105.19(+44.8)#18101.64(+48.4)#1,087
19.21239147.19105.19(+42.0)#19101.64(+45.5)#1,170
20.21779146.93105.19(+41.7)#20101.64(+45.3)#1,181
21.20733145.99105.19(+40.8)#21101.64(+44.3)#1,210
22.21627145.45105.19(+40.3)#22101.64(+43.8)#1,234
23.20818144.46105.19(+39.3)#23101.64(+42.8)#1,265
24.21405142.41105.19(+37.2)#24101.64(+40.8)#1,342
25.21252140.86105.19(+35.7)#25101.64(+39.2)#1,402
26.21678140.71105.19(+35.5)#26101.64(+39.1)#1,415
27.21821140.57105.19(+35.4)#27101.64(+38.9)#1,423
28.21920139.34105.19(+34.1)#28101.64(+37.7)#1,486
29.20862139.29105.19(+34.1)#29101.64(+37.6)#1,487
30.20688139.26105.19(+34.1)#30101.64(+37.6)#1,490
31.21226139.14105.19(+33.9)#31101.64(+37.5)#1,492
32.20606137.50105.19(+32.3)#32101.64(+35.9)#1,561
33.21912134.69105.19(+29.5)#33101.64(+33.1)#1,724
34.21869134.00105.19(+28.8)#34101.64(+32.4)#1,766
35.21213133.36105.19(+28.2)#35101.64(+31.7)#1,812
36.20680133.33105.19(+28.1)#36101.64(+31.7)#1,819
37.21841132.47105.19(+27.3)#37101.64(+30.8)#1,887
38.21250132.08105.19(+26.9)#38101.64(+30.4)#1,923
39.21919131.92105.19(+26.7)#39101.64(+30.3)#1,938
40.21652130.65105.19(+25.5)#40101.64(+29.0)#2,042
41.21660128.67105.19(+23.5)#41101.64(+27.0)#2,234
42.21152128.43105.19(+23.2)#42101.64(+26.8)#2,269
43.21610128.30105.19(+23.1)#43101.64(+26.7)#2,279
44.20686128.20105.19(+23.0)#44101.64(+26.6)#2,294
45.21781127.78105.19(+22.6)#45101.64(+26.1)#2,344
46.21215127.71105.19(+22.5)#46101.64(+26.1)#2,348
47.21798127.19105.19(+22.0)#47101.64(+25.5)#2,410
48.21817126.49105.19(+21.3)#48101.64(+24.8)#2,495
49.21536126.20105.19(+21.0)#49101.64(+24.6)#2,520
50.21133125.46105.19(+20.3)#50101.64(+23.8)#2,617
51.20662124.24105.19(+19.1)#51101.64(+22.6)#2,784
52.21631124.22105.19(+19.0)#52101.64(+22.6)#2,791
53.21824123.89105.19(+18.7)#53101.64(+22.3)#2,836
54.20747123.88105.19(+18.7)#54101.64(+22.2)#2,842
55.21077123.40105.19(+18.2)#55101.64(+21.8)#2,917
56.21210123.12105.19(+17.9)#56101.64(+21.5)#2,953
57.21206122.79105.19(+17.6)#57101.64(+21.1)#3,010
58.21762122.78105.19(+17.6)#58101.64(+21.1)#3,012
59.20618122.75105.19(+17.6)#59101.64(+21.1)#3,019
60.20868122.61105.19(+17.4)#60101.64(+21.0)#3,047
61.21117122.57105.19(+17.4)#61101.64(+20.9)#3,054
62.21216122.49105.19(+17.3)#62101.64(+20.8)#3,068
63.20879122.30105.19(+17.1)#63101.64(+20.7)#3,115
64.21913122.28105.19(+17.1)#64101.64(+20.6)#3,117
65.21644122.22105.19(+17.0)#65101.64(+20.6)#3,132
66.20812122.05105.19(+16.9)#66101.64(+20.4)#3,161
67.20770121.50105.19(+16.3)#67101.64(+19.9)#3,271
68.21830121.47105.19(+16.3)#68101.64(+19.8)#3,273
69.21056120.83105.19(+15.6)#69101.64(+19.2)#3,411
70.20785120.78105.19(+15.6)#70101.64(+19.1)#3,421
71.21204120.63105.19(+15.4)#71101.64(+19.0)#3,454
72.20602120.59105.19(+15.4)#72101.64(+18.9)#3,465
73.21662120.47105.19(+15.3)#73101.64(+18.8)#3,490
74.21668120.33105.19(+15.1)#74101.64(+18.7)#3,516
75.21840119.92105.19(+14.7)#75101.64(+18.3)#3,601
76.21632119.80105.19(+14.6)#76101.64(+18.2)#3,630
77.20837119.80105.19(+14.6)#77101.64(+18.2)#3,632
78.21214119.67105.19(+14.5)#78101.64(+18.0)#3,662
79.20632119.13105.19(+13.9)#79101.64(+17.5)#3,787
80.21657119.05105.19(+13.9)#80101.64(+17.4)#3,805
81.21711118.73105.19(+13.5)#81101.64(+17.1)#3,882
82.20716118.29105.19(+13.1)#82101.64(+16.6)#4,010
83.21661118.25105.19(+13.1)#83101.64(+16.6)#4,023
84.20707118.03105.19(+12.8)#84101.64(+16.4)#4,081
85.21861117.37105.19(+12.2)#85101.64(+15.7)#4,274
86.21650116.90105.19(+11.7)#86101.64(+15.3)#4,391
87.21244116.86105.19(+11.7)#87101.64(+15.2)#4,407
88.20774116.81105.19(+11.6)#88101.64(+15.2)#4,430
89.21718116.67105.19(+11.5)#89101.64(+15.0)#4,484
90.20616116.24105.19(+11.0)#90101.64(+14.6)#4,621
91.21624116.13105.19(+10.9)#91101.64(+14.5)#4,660
92.21822115.92105.19(+10.7)#92101.64(+14.3)#4,737
93.21208115.87105.19(+10.7)#93101.64(+14.2)#4,756
94.21229115.54105.19(+10.3)#94101.64(+13.9)#4,859
95.21903115.52105.19(+10.3)#95101.64(+13.9)#4,865
96.21562115.38105.19(+10.2)#96101.64(+13.7)#4,922
97.21223115.33105.19(+10.1)#97101.64(+13.7)#4,945
98.21078115.22105.19(+10.0)#98101.64(+13.6)#4,982
99.20645114.93105.19(+9.74)#99101.64(+13.3)#5,096
100.21837114.87105.19(+9.68)#100101.64(+13.2)#5,118

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Maryland?
Top 10 Zip Codes with the Highest Female / Male Ratio in Maryland are:
#1
400.00
#2
305.00
#3
286.49
#4
231.25
#5
229.09
#6
182.71
#7
171.92
#8
167.50
#9
161.40
#10
161.25
What zip code has the Highest Female / Male Ratio in Maryland?
21705 has the Highest Female / Male Ratio in Maryland with 400.00.
What is the Famale to Male Ratio in the State of Maryland?
Famale to Male Ratio in Maryland is 105.19.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.