Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland

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Lowest Birth Rate | Public Income
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
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Income (Families)
Income (Households)
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Unemployment
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Maryland
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Map of Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland

40.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland Map

Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland

Zip Code Births / 1,000 Women vs State vs National
1. 21651 4.0 51.0 (-47.0)#1 52.0 (-48.0)#148
2. 20769 5.0 51.0 (-46.0)#2 52.0 (-47.0)#176
3. 21620 7.0 51.0 (-44.0)#3 52.0 (-45.0)#320
4. 21140 7.0 51.0 (-44.0)#4 52.0 (-45.0)#340
5. 21738 8.0 51.0 (-43.0)#5 52.0 (-44.0)#435
6. 20905 9.0 51.0 (-42.0)#6 52.0 (-43.0)#510
7. 20833 10.0 51.0 (-41.0)#7 52.0 (-42.0)#660
8. 21756 10.0 51.0 (-41.0)#8 52.0 (-42.0)#691
9. 21861 10.0 51.0 (-41.0)#9 52.0 (-42.0)#744
10. 21536 11.0 51.0 (-40.0)#10 52.0 (-41.0)#826
11. 20607 12.0 51.0 (-39.0)#11 52.0 (-40.0)#918
12. 21913 12.0 51.0 (-39.0)#12 52.0 (-40.0)#1,025
13. 21801 13.0 51.0 (-38.0)#13 52.0 (-39.0)#1,048
14. 21727 13.0 51.0 (-38.0)#14 52.0 (-39.0)#1,090
15. 21029 14.0 51.0 (-37.0)#15 52.0 (-38.0)#1,225
16. 20838 14.0 51.0 (-37.0)#16 52.0 (-38.0)#1,359
17. 21005 15.0 51.0 (-36.0)#17 52.0 (-37.0)#1,481
18. 21541 15.0 51.0 (-36.0)#18 52.0 (-37.0)#1,509
19. 21678 16.0 51.0 (-35.0)#19 52.0 (-36.0)#1,691
20. 20812 16.0 51.0 (-35.0)#20 52.0 (-36.0)#1,748
21. 21210 17.0 51.0 (-34.0)#21 52.0 (-35.0)#1,773
22. 20777 17.0 51.0 (-34.0)#22 52.0 (-35.0)#1,836
23. 20693 17.0 51.0 (-34.0)#23 52.0 (-35.0)#1,875
24. 20816 18.0 51.0 (-33.0)#24 52.0 (-34.0)#1,937
25. 21053 18.0 51.0 (-33.0)#25 52.0 (-34.0)#2,014
26. 20746 19.0 51.0 (-32.0)#26 52.0 (-33.0)#2,104
27. 21903 19.0 51.0 (-32.0)#27 52.0 (-33.0)#2,190
28. 20714 20.0 51.0 (-31.0)#28 52.0 (-32.0)#2,423
29. 21028 20.0 51.0 (-31.0)#29 52.0 (-32.0)#2,450
30. 21163 21.0 51.0 (-30.0)#30 52.0 (-31.0)#2,644
31. 20616 21.0 51.0 (-30.0)#31 52.0 (-31.0)#2,649
32. 21658 21.0 51.0 (-30.0)#32 52.0 (-31.0)#2,688
33. 21042 22.0 51.0 (-29.0)#33 52.0 (-30.0)#2,798
34. 21204 22.0 51.0 (-29.0)#34 52.0 (-30.0)#2,824
35. 21722 22.0 51.0 (-29.0)#35 52.0 (-30.0)#2,883
36. 21161 22.0 51.0 (-29.0)#36 52.0 (-30.0)#2,894
37. 21153 22.0 51.0 (-29.0)#37 52.0 (-30.0)#3,016
38. 21804 23.0 51.0 (-28.0)#38 52.0 (-29.0)#3,053
39. 21668 23.0 51.0 (-28.0)#39 52.0 (-29.0)#3,238
40. 20740 24.0 51.0 (-27.0)#40 52.0 (-28.0)#3,313
41. 20634 24.0 51.0 (-27.0)#41 52.0 (-28.0)#3,399
42. 21015 25.0 51.0 (-26.0)#42 52.0 (-27.0)#3,572
43. 21214 25.0 51.0 (-26.0)#43 52.0 (-27.0)#3,612
44. 21108 25.0 51.0 (-26.0)#44 52.0 (-27.0)#3,625
45. 21090 25.0 51.0 (-26.0)#45 52.0 (-27.0)#3,658
46. 21655 25.0 51.0 (-26.0)#46 52.0 (-27.0)#3,716
47. 20778 25.0 51.0 (-26.0)#47 52.0 (-27.0)#3,749
48. 21286 26.0 51.0 (-25.0)#48 52.0 (-26.0)#3,879
49. 21035 26.0 51.0 (-25.0)#49 52.0 (-26.0)#3,932
50. 21638 26.0 51.0 (-25.0)#50 52.0 (-26.0)#3,962
51. 21132 26.0 51.0 (-25.0)#51 52.0 (-26.0)#3,991
52. 21673 26.0 51.0 (-25.0)#52 52.0 (-26.0)#3,997
53. 21160 26.0 51.0 (-25.0)#53 52.0 (-26.0)#4,000
54. 21737 26.0 51.0 (-25.0)#54 52.0 (-26.0)#4,013
55. 20689 26.0 51.0 (-25.0)#55 52.0 (-26.0)#4,019
56. 20841 27.0 51.0 (-24.0)#56 52.0 (-25.0)#4,199
57. 21017 27.0 51.0 (-24.0)#57 52.0 (-25.0)#4,221
58. 21044 28.0 51.0 (-23.0)#58 52.0 (-24.0)#4,374
59. 20748 28.0 51.0 (-23.0)#59 52.0 (-24.0)#4,381
60. 20735 28.0 51.0 (-23.0)#60 52.0 (-24.0)#4,383
61. 21217 28.0 51.0 (-23.0)#61 52.0 (-24.0)#4,399
62. 20815 28.0 51.0 (-23.0)#62 52.0 (-24.0)#4,403
63. 21219 28.0 51.0 (-23.0)#63 52.0 (-24.0)#4,478
64. 21776 28.0 51.0 (-23.0)#64 52.0 (-24.0)#4,499
65. 21794 28.0 51.0 (-23.0)#65 52.0 (-24.0)#4,548
66. 21617 29.0 51.0 (-22.0)#66 52.0 (-23.0)#4,740
67. 21048 29.0 51.0 (-22.0)#67 52.0 (-23.0)#4,747
68. 20685 29.0 51.0 (-22.0)#68 52.0 (-23.0)#4,766
69. 21917 29.0 51.0 (-22.0)#69 52.0 (-23.0)#4,834
70. 20658 29.0 51.0 (-22.0)#70 52.0 (-23.0)#4,860
71. 21223 30.0 51.0 (-21.0)#71 52.0 (-22.0)#4,983
72. 21623 30.0 51.0 (-21.0)#72 52.0 (-22.0)#5,121
73. 21208 31.0 51.0 (-20.0)#73 52.0 (-21.0)#5,223
74. 21012 31.0 51.0 (-20.0)#74 52.0 (-21.0)#5,269
75. 21128 31.0 51.0 (-20.0)#75 52.0 (-21.0)#5,305
76. 21550 31.0 51.0 (-20.0)#76 52.0 (-21.0)#5,318
77. 21657 31.0 51.0 (-20.0)#77 52.0 (-21.0)#5,454
78. 21403 32.0 51.0 (-19.0)#78 52.0 (-20.0)#5,550
79. 20721 32.0 51.0 (-19.0)#79 52.0 (-20.0)#5,552
80. 20851 32.0 51.0 (-19.0)#80 52.0 (-20.0)#5,620
81. 20640 32.0 51.0 (-19.0)#81 52.0 (-20.0)#5,644
82. 21104 32.0 51.0 (-19.0)#82 52.0 (-20.0)#5,682
83. 20676 33.0 51.0 (-18.0)#83 52.0 (-19.0)#6,057
84. 21221 34.0 51.0 (-17.0)#84 52.0 (-18.0)#6,165
85. 21202 34.0 51.0 (-17.0)#85 52.0 (-18.0)#6,237
86. 20736 34.0 51.0 (-17.0)#86 52.0 (-18.0)#6,295
87. 21649 34.0 51.0 (-17.0)#87 52.0 (-18.0)#6,398
88. 21841 34.0 51.0 (-17.0)#88 52.0 (-18.0)#6,429
89. 21218 36.0 51.0 (-15.0)#89 52.0 (-16.0)#6,793
90. 20832 36.0 51.0 (-15.0)#90 52.0 (-16.0)#6,856
91. 20657 36.0 51.0 (-15.0)#91 52.0 (-16.0)#6,875
92. 21795 36.0 51.0 (-15.0)#92 52.0 (-16.0)#6,944
93. 20814 37.0 51.0 (-14.0)#93 52.0 (-15.0)#7,167
94. 21078 37.0 51.0 (-14.0)#94 52.0 (-15.0)#7,221
95. 21613 37.0 51.0 (-14.0)#95 52.0 (-15.0)#7,232
96. 21047 37.0 51.0 (-14.0)#96 52.0 (-15.0)#7,262
97. 21755 37.0 51.0 (-14.0)#97 52.0 (-15.0)#7,313
98. 21539 37.0 51.0 (-14.0)#98 52.0 (-15.0)#7,367
99. 20878 38.0 51.0 (-13.0)#99 52.0 (-14.0)#7,446
100. 21093 38.0 51.0 (-13.0)#100 52.0 (-14.0)#7,485

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland are:
#1
4.0
#2
5.0
#3
7.0
#4
7.0
#5
8.0
#6
9.0
#7
10.0
#8
10.0
#9
10.0
#10
11.0
What zip code has the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland?
21651 has the Fewest Births per 1,000 Women Receiving Public Assitance in Maryland with 4.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the State of Maryland?
Number of Births per 1,000 Women Receiving Public Assitance in Maryland is 51.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the United States?
Number of Births per 1,000 Women Receiving Public Assitance in the United States is 52.0.