Zip Codes with the Youngest Female Population in Maryland

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Youngest Population | Female
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 Youngest Female Population in Maryland

40.0
0.0
Zip Codes with the Youngest Female Population in Maryland Map

Zip Codes with the Youngest Female Population in Maryland

Zip Code Median Age vs State vs National
1. 21023 5.8 40.4 (-34.6)#1 39.7 (-33.9)#12
2. 20762 17.5 40.4 (-22.9)#2 39.7 (-22.2)#166
3. 21781 17.5 40.4 (-22.9)#3 39.7 (-22.2)#168
4. 21010 17.9 40.4 (-22.5)#4 39.7 (-21.8)#183
5. 21890 18.7 40.4 (-21.7)#5 39.7 (-21.0)#205
6. 20742 18.8 40.4 (-21.6)#6 39.7 (-20.9)#212
7. 21251 19.5 40.4 (-20.9)#7 39.7 (-20.2)#367
8. 21252 19.8 40.4 (-20.6)#8 39.7 (-19.9)#417
9. 20693 19.8 40.4 (-20.6)#9 39.7 (-19.9)#426
10. 21250 19.9 40.4 (-20.5)#10 39.7 (-19.8)#438
11. 20686 20.3 40.4 (-20.1)#11 39.7 (-19.4)#501
12. 21402 20.5 40.4 (-19.9)#12 39.7 (-19.2)#526
13. 20889 20.9 40.4 (-19.5)#13 39.7 (-18.8)#604
14. 20670 21.1 40.4 (-19.3)#14 39.7 (-18.6)#615
15. 20868 21.5 40.4 (-18.9)#15 39.7 (-18.2)#672
16. 20740 23.0 40.4 (-17.4)#16 39.7 (-16.7)#856
17. 21156 24.3 40.4 (-16.1)#17 39.7 (-15.4)#988
18. 21779 25.8 40.4 (-14.6)#18 39.7 (-13.9)#1,160
19. 21727 27.1 40.4 (-13.3)#19 39.7 (-12.6)#1,363
20. 20755 27.4 40.4 (-13.0)#20 39.7 (-12.3)#1,413
21. 21826 29.6 40.4 (-10.8)#21 39.7 (-10.1)#1,962
22. 21005 29.8 40.4 (-10.6)#22 39.7 (-9.90)#2,020
23. 20701 30.4 40.4 (-10.00)#23 39.7 (-9.30)#2,262
24. 21542 30.4 40.4 (-10.00)#24 39.7 (-9.30)#2,266
25. 20783 31.2 40.4 (-9.20)#25 39.7 (-8.50)#2,559
26. 21913 31.4 40.4 (-9.00)#26 39.7 (-8.30)#2,659
27. 21557 31.5 40.4 (-8.90)#27 39.7 (-8.20)#2,704
28. 21664 31.5 40.4 (-8.90)#28 39.7 (-8.20)#2,716
29. 21226 31.6 40.4 (-8.80)#29 39.7 (-8.10)#2,752
30. 21210 31.8 40.4 (-8.60)#30 39.7 (-7.90)#2,851
31. 21202 32.0 40.4 (-8.40)#31 39.7 (-7.70)#2,965
32. 20680 32.1 40.4 (-8.30)#32 39.7 (-7.60)#3,043
33. 21201 32.2 40.4 (-8.20)#33 39.7 (-7.50)#3,071
34. 21853 32.5 40.4 (-7.90)#34 39.7 (-7.20)#3,247
35. 21641 32.5 40.4 (-7.90)#35 39.7 (-7.20)#3,283
36. 21071 32.8 40.4 (-7.60)#36 39.7 (-6.90)#3,453
37. 20724 33.0 40.4 (-7.40)#37 39.7 (-6.70)#3,574
38. 21822 33.0 40.4 (-7.40)#38 39.7 (-6.70)#3,589
39. 21540 33.0 40.4 (-7.40)#39 39.7 (-6.70)#3,615
40. 20737 33.3 40.4 (-7.10)#40 39.7 (-6.40)#3,742
41. 21230 33.5 40.4 (-6.90)#41 39.7 (-6.20)#3,880
42. 21231 33.5 40.4 (-6.90)#42 39.7 (-6.20)#3,898
43. 21639 33.6 40.4 (-6.80)#43 39.7 (-6.10)#3,994
44. 21841 33.7 40.4 (-6.70)#44 39.7 (-6.00)#4,095
45. 20710 33.8 40.4 (-6.60)#45 39.7 (-5.90)#4,136
46. 20903 33.9 40.4 (-6.50)#46 39.7 (-5.80)#4,202
47. 20634 33.9 40.4 (-6.50)#47 39.7 (-5.80)#4,219
48. 21051 33.9 40.4 (-6.50)#48 39.7 (-5.80)#4,271
49. 21864 34.2 40.4 (-6.20)#49 39.7 (-5.50)#4,483
50. 21804 34.3 40.4 (-6.10)#50 39.7 (-5.40)#4,503
51. 21647 34.4 40.4 (-6.00)#51 39.7 (-5.30)#4,631
52. 20653 34.5 40.4 (-5.90)#52 39.7 (-5.20)#4,654
53. 21649 34.6 40.4 (-5.80)#53 39.7 (-5.10)#4,776
54. 21920 34.6 40.4 (-5.80)#54 39.7 (-5.10)#4,799
55. 21075 34.8 40.4 (-5.60)#55 39.7 (-4.90)#4,920
56. 21224 34.9 40.4 (-5.50)#56 39.7 (-4.80)#4,991
57. 20784 35.0 40.4 (-5.40)#57 39.7 (-4.70)#5,100
58. 20733 35.0 40.4 (-5.40)#58 39.7 (-4.70)#5,143
59. 21052 35.1 40.4 (-5.30)#59 39.7 (-4.60)#5,248
60. 20910 35.3 40.4 (-5.10)#60 39.7 (-4.40)#5,358
61. 20708 35.4 40.4 (-5.00)#61 39.7 (-4.30)#5,471
62. 21225 35.6 40.4 (-4.80)#62 39.7 (-4.10)#5,689
63. 21209 35.7 40.4 (-4.70)#63 39.7 (-4.00)#5,804
64. 21216 35.7 40.4 (-4.70)#64 39.7 (-4.00)#5,808
65. 20879 35.7 40.4 (-4.70)#65 39.7 (-4.00)#5,811
66. 21861 35.7 40.4 (-4.70)#66 39.7 (-4.00)#5,868
67. 20902 35.8 40.4 (-4.60)#67 39.7 (-3.90)#5,888
68. 21076 35.8 40.4 (-4.60)#68 39.7 (-3.90)#5,920
69. 20714 35.8 40.4 (-4.60)#69 39.7 (-3.90)#5,948
70. 20687 35.8 40.4 (-4.60)#70 39.7 (-3.90)#5,990
71. 21244 35.9 40.4 (-4.50)#71 39.7 (-3.80)#6,014
72. 20657 35.9 40.4 (-4.50)#72 39.7 (-3.80)#6,032
73. 21218 36.0 40.4 (-4.40)#73 39.7 (-3.70)#6,117
74. 21872 36.0 40.4 (-4.40)#74 39.7 (-3.70)#6,195
75. 21703 36.2 40.4 (-4.20)#75 39.7 (-3.50)#6,327
76. 21211 36.2 40.4 (-4.20)#76 39.7 (-3.50)#6,354
77. 21205 36.2 40.4 (-4.20)#77 39.7 (-3.50)#6,355
78. 20851 36.2 40.4 (-4.20)#78 39.7 (-3.50)#6,356
79. 20602 36.3 40.4 (-4.10)#79 39.7 (-3.40)#6,439
80. 20705 36.4 40.4 (-4.00)#80 39.7 (-3.30)#6,556
81. 21204 36.5 40.4 (-3.90)#81 39.7 (-3.20)#6,670
82. 20781 36.5 40.4 (-3.90)#82 39.7 (-3.20)#6,677
83. 21524 36.7 40.4 (-3.70)#83 39.7 (-3.00)#6,972
84. 20876 36.8 40.4 (-3.60)#84 39.7 (-2.90)#7,013
85. 21532 37.0 40.4 (-3.40)#85 39.7 (-2.70)#7,264
86. 21702 37.1 40.4 (-3.30)#86 39.7 (-2.60)#7,339
87. 20650 37.1 40.4 (-3.30)#87 39.7 (-2.60)#7,374
88. 21046 37.2 40.4 (-3.20)#88 39.7 (-2.50)#7,476
89. 21061 37.4 40.4 (-3.00)#89 39.7 (-2.30)#7,674
90. 21108 37.6 40.4 (-2.80)#90 39.7 (-2.10)#7,971
91. 20722 37.6 40.4 (-2.80)#91 39.7 (-2.10)#7,997
92. 21222 37.7 40.4 (-2.70)#92 39.7 (-2.00)#8,067
93. 21206 37.7 40.4 (-2.70)#93 39.7 (-2.00)#8,070
94. 20785 37.7 40.4 (-2.70)#94 39.7 (-2.00)#8,077
95. 21162 37.7 40.4 (-2.70)#95 39.7 (-2.00)#8,130
96. 20632 37.7 40.4 (-2.70)#96 39.7 (-2.00)#8,156
97. 20601 37.8 40.4 (-2.60)#97 39.7 (-1.90)#8,216
98. 21114 37.8 40.4 (-2.60)#98 39.7 (-1.90)#8,223
99. 20794 37.8 40.4 (-2.60)#99 39.7 (-1.90)#8,240
100. 21113 37.9 40.4 (-2.50)#100 39.7 (-1.80)#8,360

Common Questions

What are the Top 10 Zip Codes with the Youngest Female Population in Maryland?
Top 10 Zip Codes with the Youngest Female Population in Maryland are:
#1
5.8
#2
17.5
#3
17.5
#4
17.9
#5
18.7
#6
18.8
#7
19.5
#8
19.8
#9
19.8
#10
19.9
What zip code has the Youngest Female Population in Maryland?
21023 has the Youngest Female Population in Maryland with 5.8.
What is the Median Female Age in the State of Maryland?
Median Female Age in Maryland is 40.4.
What is the Median Female Age in the United States?
Median Female Age in the United States is 39.7.