Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland

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Lowest Birth Rate | Women 35+
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 Fewest Births per 1,000 Women Over the Age of 35 in Maryland

40.0
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Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland

Zip Code Births / 1,000 Women vs State vs National
1. 20745 1.0 38.0 (-37.0)#1 32.0 (-31.0)#5
2. 20746 2.0 38.0 (-36.0)#2 32.0 (-30.0)#49
3. 21244 3.0 38.0 (-35.0)#3 32.0 (-29.0)#115
4. 21830 3.0 38.0 (-35.0)#4 32.0 (-29.0)#201
5. 21229 4.0 38.0 (-34.0)#5 32.0 (-28.0)#222
6. 20748 4.0 38.0 (-34.0)#6 32.0 (-28.0)#224
7. 21202 4.0 38.0 (-34.0)#7 32.0 (-28.0)#271
8. 20851 4.0 38.0 (-34.0)#8 32.0 (-28.0)#295
9. 21550 4.0 38.0 (-34.0)#9 32.0 (-28.0)#303
10. 21029 5.0 38.0 (-33.0)#10 32.0 (-27.0)#478
11. 21911 5.0 38.0 (-33.0)#11 32.0 (-27.0)#493
12. 21044 6.0 38.0 (-32.0)#12 32.0 (-26.0)#583
13. 21539 6.0 38.0 (-32.0)#13 32.0 (-26.0)#766
14. 21502 7.0 38.0 (-31.0)#14 32.0 (-25.0)#785
15. 21217 7.0 38.0 (-31.0)#15 32.0 (-25.0)#800
16. 20905 7.0 38.0 (-31.0)#16 32.0 (-25.0)#854
17. 21042 8.0 38.0 (-30.0)#17 32.0 (-24.0)#1,014
18. 21223 8.0 38.0 (-30.0)#18 32.0 (-24.0)#1,084
19. 21632 9.0 38.0 (-29.0)#19 32.0 (-23.0)#1,449
20. 21104 9.0 38.0 (-29.0)#20 32.0 (-23.0)#1,451
21. 21756 9.0 38.0 (-29.0)#21 32.0 (-23.0)#1,489
22. 21874 10.0 38.0 (-28.0)#22 32.0 (-22.0)#1,795
23. 21623 10.0 38.0 (-28.0)#23 32.0 (-22.0)#1,796
24. 21208 11.0 38.0 (-27.0)#24 32.0 (-21.0)#1,837
25. 21801 11.0 38.0 (-27.0)#25 32.0 (-21.0)#1,858
26. 21214 11.0 38.0 (-27.0)#26 32.0 (-21.0)#1,895
27. 21666 11.0 38.0 (-27.0)#27 32.0 (-21.0)#1,934
28. 21213 12.0 38.0 (-26.0)#28 32.0 (-20.0)#2,172
29. 21050 12.0 38.0 (-26.0)#29 32.0 (-20.0)#2,228
30. 20794 12.0 38.0 (-26.0)#30 32.0 (-20.0)#2,244
31. 21205 12.0 38.0 (-26.0)#31 32.0 (-20.0)#2,248
32. 21532 12.0 38.0 (-26.0)#32 32.0 (-20.0)#2,264
33. 21863 12.0 38.0 (-26.0)#33 32.0 (-20.0)#2,331
34. 21209 13.0 38.0 (-25.0)#34 32.0 (-19.0)#2,452
35. 20724 13.0 38.0 (-25.0)#35 32.0 (-19.0)#2,518
36. 20640 13.0 38.0 (-25.0)#36 32.0 (-19.0)#2,571
37. 21157 14.0 38.0 (-24.0)#37 32.0 (-18.0)#2,723
38. 20607 14.0 38.0 (-24.0)#38 32.0 (-18.0)#2,860
39. 20653 15.0 38.0 (-23.0)#39 32.0 (-17.0)#3,084
40. 21061 16.0 38.0 (-22.0)#40 32.0 (-16.0)#3,302
41. 21403 16.0 38.0 (-22.0)#41 32.0 (-16.0)#3,349
42. 21740 17.0 38.0 (-21.0)#42 32.0 (-15.0)#3,594
43. 20732 17.0 38.0 (-21.0)#43 32.0 (-15.0)#3,756
44. 21030 18.0 38.0 (-20.0)#44 32.0 (-14.0)#3,991
45. 21078 18.0 38.0 (-20.0)#45 32.0 (-14.0)#4,026
46. 21102 18.0 38.0 (-20.0)#46 32.0 (-14.0)#4,075
47. 21218 19.0 38.0 (-19.0)#47 32.0 (-13.0)#4,237
48. 21136 20.0 38.0 (-18.0)#48 32.0 (-12.0)#4,562
49. 21619 20.0 38.0 (-18.0)#49 32.0 (-12.0)#4,728
50. 21755 20.0 38.0 (-18.0)#50 32.0 (-12.0)#4,731
51. 21206 21.0 38.0 (-17.0)#51 32.0 (-11.0)#4,842
52. 21613 21.0 38.0 (-17.0)#52 32.0 (-11.0)#4,959
53. 21769 21.0 38.0 (-17.0)#53 32.0 (-11.0)#4,993
54. 21161 21.0 38.0 (-17.0)#54 32.0 (-11.0)#5,062
55. 21216 22.0 38.0 (-16.0)#55 32.0 (-10.00)#5,239
56. 20601 22.0 38.0 (-16.0)#56 32.0 (-10.00)#5,245
57. 21222 23.0 38.0 (-15.0)#57 32.0 (-9.00)#5,462
58. 21117 23.0 38.0 (-15.0)#58 32.0 (-9.00)#5,463
59. 21221 23.0 38.0 (-15.0)#59 32.0 (-9.00)#5,480
60. 20721 23.0 38.0 (-15.0)#60 32.0 (-9.00)#5,517
61. 21210 23.0 38.0 (-15.0)#61 32.0 (-9.00)#5,589
62. 21788 23.0 38.0 (-15.0)#62 32.0 (-9.00)#5,612
63. 20735 24.0 38.0 (-14.0)#63 32.0 (-8.00)#5,789
64. 21114 24.0 38.0 (-14.0)#64 32.0 (-8.00)#5,851
65. 21085 24.0 38.0 (-14.0)#65 32.0 (-8.00)#5,894
66. 20619 24.0 38.0 (-14.0)#66 32.0 (-8.00)#5,911
67. 20872 24.0 38.0 (-14.0)#67 32.0 (-8.00)#5,915
68. 21673 24.0 38.0 (-14.0)#68 32.0 (-8.00)#5,998
69. 20782 25.0 38.0 (-13.0)#69 32.0 (-7.00)#6,128
70. 21237 25.0 38.0 (-13.0)#70 32.0 (-7.00)#6,143
71. 21409 25.0 38.0 (-13.0)#71 32.0 (-7.00)#6,195
72. 21087 25.0 38.0 (-13.0)#72 32.0 (-7.00)#6,294
73. 20850 26.0 38.0 (-12.0)#73 32.0 (-6.00)#6,390
74. 21804 26.0 38.0 (-12.0)#74 32.0 (-6.00)#6,425
75. 20815 26.0 38.0 (-12.0)#75 32.0 (-6.00)#6,459
76. 20715 26.0 38.0 (-12.0)#76 32.0 (-6.00)#6,487
77. 21128 26.0 38.0 (-12.0)#77 32.0 (-6.00)#6,546
78. 21793 26.0 38.0 (-12.0)#78 32.0 (-6.00)#6,566
79. 21060 27.0 38.0 (-11.0)#79 32.0 (-5.00)#6,757
80. 21212 27.0 38.0 (-11.0)#80 32.0 (-5.00)#6,775
81. 21230 27.0 38.0 (-11.0)#81 32.0 (-5.00)#6,778
82. 21047 27.0 38.0 (-11.0)#82 32.0 (-5.00)#6,875
83. 21782 27.0 38.0 (-11.0)#83 32.0 (-5.00)#6,940
84. 21861 27.0 38.0 (-11.0)#84 32.0 (-5.00)#6,995
85. 21043 28.0 38.0 (-10.00)#85 32.0 (-4.00)#7,033
86. 21015 29.0 38.0 (-9.00)#86 32.0 (-3.00)#7,366
87. 21146 29.0 38.0 (-9.00)#87 32.0 (-3.00)#7,373
88. 20770 29.0 38.0 (-9.00)#88 32.0 (-3.00)#7,380
89. 20659 29.0 38.0 (-9.00)#89 32.0 (-3.00)#7,407
90. 21012 29.0 38.0 (-9.00)#90 32.0 (-3.00)#7,410
91. 21053 29.0 38.0 (-9.00)#91 32.0 (-3.00)#7,535
92. 21520 29.0 38.0 (-9.00)#92 32.0 (-3.00)#7,547
93. 21009 30.0 38.0 (-8.00)#93 32.0 (-2.00)#7,652
94. 21286 30.0 38.0 (-8.00)#94 32.0 (-2.00)#7,691
95. 20657 30.0 38.0 (-8.00)#95 32.0 (-2.00)#7,693
96. 21797 30.0 38.0 (-8.00)#96 32.0 (-2.00)#7,761
97. 21120 30.0 38.0 (-8.00)#97 32.0 (-2.00)#7,777
98. 21716 30.0 38.0 (-8.00)#98 32.0 (-2.00)#7,781
99. 20772 31.0 38.0 (-7.00)#99 32.0 (-1.000)#7,875
100. 20743 31.0 38.0 (-7.00)#100 32.0 (-1.000)#7,907

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland are:
#1
1.0
#2
2.0
#3
3.0
#4
3.0
#5
4.0
#6
4.0
#7
4.0
#8
4.0
#9
4.0
#10
5.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Maryland?
20745 has the Fewest Births per 1,000 Women Over the Age of 35 in Maryland with 1.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Maryland?
Number of Births per 1,000 Women Over the Age of 35 in Maryland is 38.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.