Zip Codes with the Most Births per 1,000 Women in Labor Force in Massachusetts

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Highest Birth Rate | In Labor Force
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 Most Births per 1,000 Women in Labor Force in Massachusetts

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Massachusetts Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Massachusetts

Zip Code Births / 1,000 Women vs State vs National
1. 02663 1,000.0 44.0 (+956)#1 48.0 (+952)#6
2. 01009 512.0 44.0 (+468)#2 48.0 (+464)#157
3. 02671 378.0 44.0 (+334)#3 48.0 (+330)#293
4. 02575 242.0 44.0 (+198)#4 48.0 (+194)#698
5. 02556 241.0 44.0 (+197)#5 48.0 (+193)#706
6. 01542 226.0 44.0 (+182)#6 48.0 (+178)#789
7. 01098 172.0 44.0 (+128)#7 48.0 (+124)#1,304
8. 01346 170.0 44.0 (+126)#8 48.0 (+122)#1,342
9. 01088 166.0 44.0 (+122)#9 48.0 (+118)#1,413
10. 02779 144.0 44.0 (+100.0)#10 48.0 (+96.0)#1,796
11. 02462 138.0 44.0 (+94.0)#11 48.0 (+90.0)#1,966
12. 01740 121.0 44.0 (+77.0)#12 48.0 (+73.0)#2,480
13. 02632 116.0 44.0 (+72.0)#13 48.0 (+68.0)#2,666
14. 01741 115.0 44.0 (+71.0)#14 48.0 (+67.0)#2,718
15. 01037 115.0 44.0 (+71.0)#15 48.0 (+67.0)#2,742
16. 01585 113.0 44.0 (+69.0)#16 48.0 (+65.0)#2,806
17. 01367 113.0 44.0 (+69.0)#17 48.0 (+65.0)#2,825
18. 01540 111.0 44.0 (+67.0)#18 48.0 (+63.0)#2,875
19. 01364 111.0 44.0 (+67.0)#19 48.0 (+63.0)#2,878
20. 01028 110.0 44.0 (+66.0)#20 48.0 (+62.0)#2,946
21. 01080 110.0 44.0 (+66.0)#21 48.0 (+62.0)#2,962
22. 01863 107.0 44.0 (+63.0)#22 48.0 (+59.0)#3,099
23. 01077 107.0 44.0 (+63.0)#23 48.0 (+59.0)#3,100
24. 01073 104.0 44.0 (+60.0)#24 48.0 (+56.0)#3,263
25. 01092 104.0 44.0 (+60.0)#25 48.0 (+56.0)#3,286
26. 01256 104.0 44.0 (+60.0)#26 48.0 (+56.0)#3,292
27. 01840 103.0 44.0 (+59.0)#27 48.0 (+55.0)#3,325
28. 02725 103.0 44.0 (+59.0)#28 48.0 (+55.0)#3,340
29. 01775 102.0 44.0 (+58.0)#29 48.0 (+54.0)#3,384
30. 01770 100.0 44.0 (+56.0)#30 48.0 (+52.0)#3,505
31. 02557 100.0 44.0 (+56.0)#31 48.0 (+52.0)#3,520
32. 02723 99.0 44.0 (+55.0)#32 48.0 (+51.0)#3,558
33. 01833 99.0 44.0 (+55.0)#33 48.0 (+51.0)#3,565
34. 02762 97.0 44.0 (+53.0)#34 48.0 (+49.0)#3,704
35. 01608 96.0 44.0 (+52.0)#35 48.0 (+48.0)#3,786
36. 02367 95.0 44.0 (+51.0)#36 48.0 (+47.0)#3,856
37. 01105 94.0 44.0 (+50.0)#37 48.0 (+46.0)#3,900
38. 01550 92.0 44.0 (+48.0)#38 48.0 (+44.0)#4,045
39. 01504 89.0 44.0 (+45.0)#39 48.0 (+41.0)#4,326
40. 01070 89.0 44.0 (+45.0)#40 48.0 (+41.0)#4,384
41. 01960 87.0 44.0 (+43.0)#41 48.0 (+39.0)#4,487
42. 02050 87.0 44.0 (+43.0)#42 48.0 (+39.0)#4,498
43. 01440 87.0 44.0 (+43.0)#43 48.0 (+39.0)#4,503
44. 01053 87.0 44.0 (+43.0)#44 48.0 (+39.0)#4,559
45. 02639 86.0 44.0 (+42.0)#45 48.0 (+38.0)#4,648
46. 01253 86.0 44.0 (+42.0)#46 48.0 (+38.0)#4,675
47. 01474 85.0 44.0 (+41.0)#47 48.0 (+37.0)#4,765
48. 02703 84.0 44.0 (+40.0)#48 48.0 (+36.0)#4,788
49. 01505 84.0 44.0 (+40.0)#49 48.0 (+36.0)#4,841
50. 01867 83.0 44.0 (+39.0)#50 48.0 (+35.0)#4,901
51. 02061 83.0 44.0 (+39.0)#51 48.0 (+35.0)#4,920
52. 01835 82.0 44.0 (+38.0)#52 48.0 (+34.0)#5,029
53. 02630 82.0 44.0 (+38.0)#53 48.0 (+34.0)#5,095
54. 02180 81.0 44.0 (+37.0)#54 48.0 (+33.0)#5,150
55. 01776 81.0 44.0 (+37.0)#55 48.0 (+33.0)#5,155
56. 01301 81.0 44.0 (+37.0)#56 48.0 (+33.0)#5,157
57. 01850 81.0 44.0 (+37.0)#57 48.0 (+33.0)#5,161
58. 02746 81.0 44.0 (+37.0)#58 48.0 (+33.0)#5,164
59. 02093 81.0 44.0 (+37.0)#59 48.0 (+33.0)#5,172
60. 01851 78.0 44.0 (+34.0)#60 48.0 (+30.0)#5,484
61. 02718 78.0 44.0 (+34.0)#61 48.0 (+30.0)#5,535
62. 01982 77.0 44.0 (+33.0)#62 48.0 (+29.0)#5,663
63. 02738 77.0 44.0 (+33.0)#63 48.0 (+29.0)#5,675
64. 01343 77.0 44.0 (+33.0)#64 48.0 (+29.0)#5,738
65. 02351 76.0 44.0 (+32.0)#65 48.0 (+28.0)#5,786
66. 02343 76.0 44.0 (+32.0)#66 48.0 (+28.0)#5,801
67. 02721 75.0 44.0 (+31.0)#67 48.0 (+27.0)#5,895
68. 01603 75.0 44.0 (+31.0)#68 48.0 (+27.0)#5,907
69. 01879 75.0 44.0 (+31.0)#69 48.0 (+27.0)#5,920
70. 01262 75.0 44.0 (+31.0)#70 48.0 (+27.0)#5,966
71. 02126 74.0 44.0 (+30.0)#71 48.0 (+26.0)#6,033
72. 01531 74.0 44.0 (+30.0)#72 48.0 (+26.0)#6,139
73. 01040 73.0 44.0 (+29.0)#73 48.0 (+25.0)#6,176
74. 02190 73.0 44.0 (+29.0)#74 48.0 (+25.0)#6,201
75. 01560 73.0 44.0 (+29.0)#75 48.0 (+25.0)#6,255
76. 01752 72.0 44.0 (+28.0)#76 48.0 (+24.0)#6,321
77. 01886 72.0 44.0 (+28.0)#77 48.0 (+24.0)#6,354
78. 02673 72.0 44.0 (+28.0)#78 48.0 (+24.0)#6,393
79. 01247 71.0 44.0 (+27.0)#79 48.0 (+23.0)#6,539
80. 01062 71.0 44.0 (+27.0)#80 48.0 (+23.0)#6,563
81. 02191 71.0 44.0 (+27.0)#81 48.0 (+23.0)#6,568
82. 01129 71.0 44.0 (+27.0)#82 48.0 (+23.0)#6,572
83. 02382 70.0 44.0 (+26.0)#83 48.0 (+22.0)#6,717
84. 02664 70.0 44.0 (+26.0)#84 48.0 (+22.0)#6,730
85. 02649 69.0 44.0 (+25.0)#85 48.0 (+21.0)#6,893
86. 01103 69.0 44.0 (+25.0)#86 48.0 (+21.0)#6,973
87. 01824 68.0 44.0 (+24.0)#87 48.0 (+20.0)#7,074
88. 02043 68.0 44.0 (+24.0)#88 48.0 (+20.0)#7,078
89. 01104 68.0 44.0 (+24.0)#89 48.0 (+20.0)#7,082
90. 02129 68.0 44.0 (+24.0)#90 48.0 (+20.0)#7,089
91. 01151 68.0 44.0 (+24.0)#91 48.0 (+20.0)#7,124
92. 01605 67.0 44.0 (+23.0)#92 48.0 (+19.0)#7,245
93. 01108 67.0 44.0 (+23.0)#93 48.0 (+19.0)#7,255
94. 02021 67.0 44.0 (+23.0)#94 48.0 (+19.0)#7,263
95. 01001 67.0 44.0 (+23.0)#95 48.0 (+19.0)#7,292
96. 01841 66.0 44.0 (+22.0)#96 48.0 (+18.0)#7,423
97. 01944 66.0 44.0 (+22.0)#97 48.0 (+18.0)#7,520
98. 02715 66.0 44.0 (+22.0)#98 48.0 (+18.0)#7,537
99. 02019 65.0 44.0 (+21.0)#99 48.0 (+17.0)#7,683
100. 02744 65.0 44.0 (+21.0)#100 48.0 (+17.0)#7,700

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Massachusetts?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Massachusetts are:
#1
1,000.0
#2
512.0
#3
378.0
#4
242.0
#5
241.0
#6
226.0
#7
172.0
#8
170.0
#9
166.0
#10
144.0
What zip code has the Most Births per 1,000 Women in Labor Force in Massachusetts?
02663 has the Most Births per 1,000 Women in Labor Force in Massachusetts with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Massachusetts?
Number of Births per 1,000 Women in Labor Force in Massachusetts is 44.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.