Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts

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Lowest Birth Rate | Below Poverty
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 Below Poverty Level in Massachusetts

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts

Zip Code Births / 1,000 Women vs State vs National
1. 02134 2.0 46.0 (-44.0)#1 53.0 (-51.0)#11
2. 01462 5.0 46.0 (-41.0)#2 53.0 (-48.0)#144
3. 01266 6.0 46.0 (-40.0)#3 53.0 (-47.0)#261
4. 01516 7.0 46.0 (-39.0)#4 53.0 (-46.0)#288
5. 02215 8.0 46.0 (-38.0)#5 53.0 (-45.0)#357
6. 02769 8.0 46.0 (-38.0)#6 53.0 (-45.0)#368
7. 02767 9.0 46.0 (-37.0)#7 53.0 (-44.0)#465
8. 01337 9.0 46.0 (-37.0)#8 53.0 (-44.0)#523
9. 01983 10.0 46.0 (-36.0)#9 53.0 (-43.0)#607
10. 01985 10.0 46.0 (-36.0)#10 53.0 (-43.0)#622
11. 02743 11.0 46.0 (-35.0)#11 53.0 (-42.0)#721
12. 01719 11.0 46.0 (-35.0)#12 53.0 (-42.0)#752
13. 01431 12.0 46.0 (-34.0)#13 53.0 (-41.0)#905
14. 01360 12.0 46.0 (-34.0)#14 53.0 (-41.0)#911
15. 01532 13.0 46.0 (-33.0)#15 53.0 (-40.0)#988
16. 01754 13.0 46.0 (-33.0)#16 53.0 (-40.0)#1,002
17. 02461 13.0 46.0 (-33.0)#17 53.0 (-40.0)#1,013
18. 02717 13.0 46.0 (-33.0)#18 53.0 (-40.0)#1,035
19. 01344 13.0 46.0 (-33.0)#19 53.0 (-40.0)#1,080
20. 01027 14.0 46.0 (-32.0)#20 53.0 (-39.0)#1,139
21. 02653 14.0 46.0 (-32.0)#21 53.0 (-39.0)#1,168
22. 01773 14.0 46.0 (-32.0)#22 53.0 (-39.0)#1,178
23. 01072 14.0 46.0 (-32.0)#23 53.0 (-39.0)#1,240
24. 01071 14.0 46.0 (-32.0)#24 53.0 (-39.0)#1,245
25. 02115 15.0 46.0 (-31.0)#25 53.0 (-38.0)#1,289
26. 01450 15.0 46.0 (-31.0)#26 53.0 (-38.0)#1,318
27. 01524 15.0 46.0 (-31.0)#27 53.0 (-38.0)#1,338
28. 02539 15.0 46.0 (-31.0)#28 53.0 (-38.0)#1,352
29. 01951 15.0 46.0 (-31.0)#29 53.0 (-38.0)#1,384
30. 01611 15.0 46.0 (-31.0)#30 53.0 (-38.0)#1,404
31. 01731 15.0 46.0 (-31.0)#31 53.0 (-38.0)#1,416
32. 01368 15.0 46.0 (-31.0)#32 53.0 (-38.0)#1,428
33. 02135 16.0 46.0 (-30.0)#33 53.0 (-37.0)#1,478
34. 01075 17.0 46.0 (-29.0)#34 53.0 (-36.0)#1,666
35. 01030 17.0 46.0 (-29.0)#35 53.0 (-36.0)#1,683
36. 02054 17.0 46.0 (-29.0)#36 53.0 (-36.0)#1,697
37. 01527 18.0 46.0 (-28.0)#37 53.0 (-35.0)#1,853
38. 02532 18.0 46.0 (-28.0)#38 53.0 (-35.0)#1,855
39. 02760 19.0 46.0 (-27.0)#39 53.0 (-34.0)#2,005
40. 02747 19.0 46.0 (-27.0)#40 53.0 (-34.0)#2,023
41. 02451 19.0 46.0 (-27.0)#41 53.0 (-34.0)#2,032
42. 02537 19.0 46.0 (-27.0)#42 53.0 (-34.0)#2,077
43. 02655 19.0 46.0 (-27.0)#43 53.0 (-34.0)#2,110
44. 02143 20.0 46.0 (-26.0)#44 53.0 (-33.0)#2,214
45. 01501 20.0 46.0 (-26.0)#45 53.0 (-33.0)#2,230
46. 02379 20.0 46.0 (-26.0)#46 53.0 (-33.0)#2,267
47. 02199 20.0 46.0 (-26.0)#47 53.0 (-33.0)#2,375
48. 02140 21.0 46.0 (-25.0)#48 53.0 (-32.0)#2,456
49. 01118 21.0 46.0 (-25.0)#49 53.0 (-32.0)#2,472
50. 01469 21.0 46.0 (-25.0)#50 53.0 (-32.0)#2,513
51. 02739 21.0 46.0 (-25.0)#51 53.0 (-32.0)#2,519
52. 01005 21.0 46.0 (-25.0)#52 53.0 (-32.0)#2,541
53. 02633 21.0 46.0 (-25.0)#53 53.0 (-32.0)#2,543
54. 02576 21.0 46.0 (-25.0)#54 53.0 (-32.0)#2,544
55. 02138 22.0 46.0 (-24.0)#55 53.0 (-31.0)#2,662
56. 01609 22.0 46.0 (-24.0)#56 53.0 (-31.0)#2,681
57. 02171 22.0 46.0 (-24.0)#57 53.0 (-31.0)#2,689
58. 02790 22.0 46.0 (-24.0)#58 53.0 (-31.0)#2,699
59. 02563 22.0 46.0 (-24.0)#59 53.0 (-31.0)#2,724
60. 01432 22.0 46.0 (-24.0)#60 53.0 (-31.0)#2,736
61. 01922 22.0 46.0 (-24.0)#61 53.0 (-31.0)#2,779
62. 01034 22.0 46.0 (-24.0)#62 53.0 (-31.0)#2,804
63. 01081 22.0 46.0 (-24.0)#63 53.0 (-31.0)#2,818
64. 01379 22.0 46.0 (-24.0)#64 53.0 (-31.0)#2,872
65. 02170 23.0 46.0 (-23.0)#65 53.0 (-30.0)#2,945
66. 01543 23.0 46.0 (-23.0)#66 53.0 (-30.0)#2,991
67. 02111 23.0 46.0 (-23.0)#67 53.0 (-30.0)#2,995
68. 01535 23.0 46.0 (-23.0)#68 53.0 (-30.0)#3,031
69. 02421 24.0 46.0 (-22.0)#69 53.0 (-29.0)#3,196
70. 01570 24.0 46.0 (-22.0)#70 53.0 (-29.0)#3,197
71. 02189 24.0 46.0 (-22.0)#71 53.0 (-29.0)#3,201
72. 01060 24.0 46.0 (-22.0)#72 53.0 (-29.0)#3,206
73. 02347 24.0 46.0 (-22.0)#73 53.0 (-29.0)#3,219
74. 02631 24.0 46.0 (-22.0)#74 53.0 (-29.0)#3,227
75. 01566 24.0 46.0 (-22.0)#75 53.0 (-29.0)#3,248
76. 02109 24.0 46.0 (-22.0)#76 53.0 (-29.0)#3,281
77. 01945 25.0 46.0 (-21.0)#77 53.0 (-28.0)#3,456
78. 02120 25.0 46.0 (-21.0)#78 53.0 (-28.0)#3,482
79. 02045 25.0 46.0 (-21.0)#79 53.0 (-28.0)#3,500
80. 02460 25.0 46.0 (-21.0)#80 53.0 (-28.0)#3,501
81. 02468 25.0 46.0 (-21.0)#81 53.0 (-28.0)#3,543
82. 01541 25.0 46.0 (-21.0)#82 53.0 (-28.0)#3,572
83. 01341 25.0 46.0 (-21.0)#83 53.0 (-28.0)#3,613
84. 02536 26.0 46.0 (-20.0)#84 53.0 (-27.0)#3,715
85. 01746 26.0 46.0 (-20.0)#85 53.0 (-27.0)#3,736
86. 02119 27.0 46.0 (-19.0)#86 53.0 (-26.0)#3,960
87. 01002 27.0 46.0 (-19.0)#87 53.0 (-26.0)#3,970
88. 01862 27.0 46.0 (-19.0)#88 53.0 (-26.0)#4,011
89. 01756 27.0 46.0 (-19.0)#89 53.0 (-26.0)#4,042
90. 02108 27.0 46.0 (-19.0)#90 53.0 (-26.0)#4,068
91. 02038 28.0 46.0 (-18.0)#91 53.0 (-25.0)#4,222
92. 02601 28.0 46.0 (-18.0)#92 53.0 (-25.0)#4,273
93. 02114 28.0 46.0 (-18.0)#93 53.0 (-25.0)#4,281
94. 01571 28.0 46.0 (-18.0)#94 53.0 (-25.0)#4,290
95. 01864 29.0 46.0 (-17.0)#95 53.0 (-24.0)#4,530
96. 02364 29.0 46.0 (-17.0)#96 53.0 (-24.0)#4,535
97. 01082 29.0 46.0 (-17.0)#97 53.0 (-24.0)#4,549
98. 01033 29.0 46.0 (-17.0)#98 53.0 (-24.0)#4,587
99. 02032 29.0 46.0 (-17.0)#99 53.0 (-24.0)#4,600
100. 01128 29.0 46.0 (-17.0)#100 53.0 (-24.0)#4,624

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts are:
#1
2.0
#2
5.0
#3
6.0
#4
7.0
#5
8.0
#6
8.0
#7
9.0
#8
9.0
#9
10.0
#10
10.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts?
02134 has the Fewest Births per 1,000 Women Below Poverty Level in Massachusetts with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Massachusetts?
Number of Births per 1,000 Women Below Poverty Level in Massachusetts is 46.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.