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

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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
Massachusetts
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 01105 4.0 36.0 (-32.0)#1 32.0 (-28.0)#313
2. 02747 5.0 36.0 (-31.0)#2 32.0 (-27.0)#440
3. 02302 6.0 36.0 (-30.0)#3 32.0 (-26.0)#590
4. 01082 6.0 36.0 (-30.0)#4 32.0 (-26.0)#707
5. 01970 7.0 36.0 (-29.0)#5 32.0 (-25.0)#781
6. 01843 7.0 36.0 (-29.0)#6 32.0 (-25.0)#809
7. 01772 7.0 36.0 (-29.0)#7 32.0 (-25.0)#901
8. 02115 8.0 36.0 (-28.0)#8 32.0 (-24.0)#1,058
9. 02215 8.0 36.0 (-28.0)#9 32.0 (-24.0)#1,067
10. 02048 8.0 36.0 (-28.0)#10 32.0 (-24.0)#1,069
11. 02536 8.0 36.0 (-28.0)#11 32.0 (-24.0)#1,083
12. 01532 8.0 36.0 (-28.0)#12 32.0 (-24.0)#1,114
13. 02189 8.0 36.0 (-28.0)#13 32.0 (-24.0)#1,115
14. 02649 8.0 36.0 (-28.0)#14 32.0 (-24.0)#1,120
15. 01331 8.0 36.0 (-28.0)#15 32.0 (-24.0)#1,132
16. 02743 8.0 36.0 (-28.0)#16 32.0 (-24.0)#1,160
17. 01590 8.0 36.0 (-28.0)#17 32.0 (-24.0)#1,171
18. 01534 8.0 36.0 (-28.0)#18 32.0 (-24.0)#1,200
19. 01085 9.0 36.0 (-27.0)#19 32.0 (-23.0)#1,292
20. 02760 9.0 36.0 (-27.0)#20 32.0 (-23.0)#1,314
21. 01850 9.0 36.0 (-27.0)#21 32.0 (-23.0)#1,373
22. 01864 9.0 36.0 (-27.0)#22 32.0 (-23.0)#1,386
23. 01364 9.0 36.0 (-27.0)#23 32.0 (-23.0)#1,443
24. 01469 9.0 36.0 (-27.0)#24 32.0 (-23.0)#1,445
25. 01608 9.0 36.0 (-27.0)#25 32.0 (-23.0)#1,459
26. 01071 9.0 36.0 (-27.0)#26 32.0 (-23.0)#1,533
27. 01266 9.0 36.0 (-27.0)#27 32.0 (-23.0)#1,538
28. 01420 10.0 36.0 (-26.0)#28 32.0 (-22.0)#1,564
29. 02124 11.0 36.0 (-25.0)#29 32.0 (-21.0)#1,821
30. 01852 11.0 36.0 (-25.0)#30 32.0 (-21.0)#1,840
31. 01603 11.0 36.0 (-25.0)#31 32.0 (-21.0)#1,898
32. 01030 11.0 36.0 (-25.0)#32 32.0 (-21.0)#1,946
33. 01562 11.0 36.0 (-25.0)#33 32.0 (-21.0)#1,955
34. 01588 11.0 36.0 (-25.0)#34 32.0 (-21.0)#1,969
35. 01057 11.0 36.0 (-25.0)#35 32.0 (-21.0)#1,987
36. 01841 12.0 36.0 (-24.0)#36 32.0 (-20.0)#2,115
37. 01754 12.0 36.0 (-24.0)#37 32.0 (-20.0)#2,282
38. 01536 12.0 36.0 (-24.0)#38 32.0 (-20.0)#2,312
39. 01089 13.0 36.0 (-23.0)#39 32.0 (-19.0)#2,462
40. 02119 13.0 36.0 (-23.0)#40 32.0 (-19.0)#2,472
41. 01609 13.0 36.0 (-23.0)#41 32.0 (-19.0)#2,483
42. 01570 13.0 36.0 (-23.0)#42 32.0 (-19.0)#2,526
43. 01607 13.0 36.0 (-23.0)#43 32.0 (-19.0)#2,583
44. 01929 13.0 36.0 (-23.0)#44 32.0 (-19.0)#2,639
45. 02780 14.0 36.0 (-22.0)#45 32.0 (-18.0)#2,703
46. 01527 14.0 36.0 (-22.0)#46 32.0 (-18.0)#2,846
47. 01940 14.0 36.0 (-22.0)#47 32.0 (-18.0)#2,852
48. 02052 14.0 36.0 (-22.0)#48 32.0 (-18.0)#2,854
49. 02563 14.0 36.0 (-22.0)#49 32.0 (-18.0)#2,877
50. 01460 14.0 36.0 (-22.0)#50 32.0 (-18.0)#2,878
51. 02054 14.0 36.0 (-22.0)#51 32.0 (-18.0)#2,897
52. 01583 14.0 36.0 (-22.0)#52 32.0 (-18.0)#2,903
53. 01516 15.0 36.0 (-21.0)#53 32.0 (-17.0)#3,186
54. 02675 15.0 36.0 (-21.0)#54 32.0 (-17.0)#3,206
55. 01757 16.0 36.0 (-20.0)#55 32.0 (-16.0)#3,358
56. 02021 16.0 36.0 (-20.0)#56 32.0 (-16.0)#3,383
57. 02421 16.0 36.0 (-20.0)#57 32.0 (-16.0)#3,416
58. 01719 16.0 36.0 (-20.0)#58 32.0 (-16.0)#3,506
59. 02151 17.0 36.0 (-19.0)#59 32.0 (-15.0)#3,596
60. 02370 17.0 36.0 (-19.0)#60 32.0 (-15.0)#3,718
61. 01118 17.0 36.0 (-19.0)#61 32.0 (-15.0)#3,731
62. 01095 17.0 36.0 (-19.0)#62 32.0 (-15.0)#3,734
63. 01220 17.0 36.0 (-19.0)#63 32.0 (-15.0)#3,782
64. 01535 17.0 36.0 (-19.0)#64 32.0 (-15.0)#3,815
65. 01721 18.0 36.0 (-18.0)#65 32.0 (-14.0)#4,030
66. 02333 18.0 36.0 (-18.0)#66 32.0 (-14.0)#4,064
67. 02120 18.0 36.0 (-18.0)#67 32.0 (-14.0)#4,065
68. 01778 18.0 36.0 (-18.0)#68 32.0 (-14.0)#4,066
69. 01983 18.0 36.0 (-18.0)#69 32.0 (-14.0)#4,116
70. 01040 19.0 36.0 (-17.0)#70 32.0 (-13.0)#4,248
71. 02368 19.0 36.0 (-17.0)#71 32.0 (-13.0)#4,259
72. 01803 19.0 36.0 (-17.0)#72 32.0 (-13.0)#4,295
73. 02745 19.0 36.0 (-17.0)#73 32.0 (-13.0)#4,302
74. 01027 19.0 36.0 (-17.0)#74 32.0 (-13.0)#4,351
75. 02777 19.0 36.0 (-17.0)#75 32.0 (-13.0)#4,356
76. 02019 19.0 36.0 (-17.0)#76 32.0 (-13.0)#4,358
77. 01247 19.0 36.0 (-17.0)#77 32.0 (-13.0)#4,363
78. 01747 19.0 36.0 (-17.0)#78 32.0 (-13.0)#4,420
79. 01612 19.0 36.0 (-17.0)#79 32.0 (-13.0)#4,433
80. 01223 19.0 36.0 (-17.0)#80 32.0 (-13.0)#4,464
81. 01034 19.0 36.0 (-17.0)#81 32.0 (-13.0)#4,475
82. 02703 20.0 36.0 (-16.0)#82 32.0 (-12.0)#4,532
83. 01810 20.0 36.0 (-16.0)#83 32.0 (-12.0)#4,560
84. 01610 20.0 36.0 (-16.0)#84 32.0 (-12.0)#4,603
85. 02724 20.0 36.0 (-16.0)#85 32.0 (-12.0)#4,648
86. 01950 20.0 36.0 (-16.0)#86 32.0 (-12.0)#4,649
87. 02719 20.0 36.0 (-16.0)#87 32.0 (-12.0)#4,658
88. 01337 20.0 36.0 (-16.0)#88 32.0 (-12.0)#4,776
89. 01453 21.0 36.0 (-15.0)#89 32.0 (-11.0)#4,855
90. 02467 21.0 36.0 (-15.0)#90 32.0 (-11.0)#4,932
91. 01746 21.0 36.0 (-15.0)#91 32.0 (-11.0)#4,977
92. 01507 21.0 36.0 (-15.0)#92 32.0 (-11.0)#4,990
93. 02748 21.0 36.0 (-15.0)#93 32.0 (-11.0)#5,004
94. 01540 21.0 36.0 (-15.0)#94 32.0 (-11.0)#5,005
95. 01952 21.0 36.0 (-15.0)#95 32.0 (-11.0)#5,024
96. 02109 21.0 36.0 (-15.0)#96 32.0 (-11.0)#5,097
97. 01431 21.0 36.0 (-15.0)#97 32.0 (-11.0)#5,105
98. 01915 22.0 36.0 (-14.0)#98 32.0 (-10.00)#5,194
99. 01720 22.0 36.0 (-14.0)#99 32.0 (-10.00)#5,269
100. 02744 22.0 36.0 (-14.0)#100 32.0 (-10.00)#5,319

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Massachusetts?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Massachusetts are:
#1
4.0
#2
5.0
#3
6.0
#4
6.0
#5
7.0
#6
7.0
#7
7.0
#8
8.0
#9
8.0
#10
8.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Massachusetts?
01105 has the Fewest Births per 1,000 Women Over the Age of 35 in Massachusetts with 4.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Massachusetts?
Number of Births per 1,000 Women Over the Age of 35 in Massachusetts is 36.0.
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.