Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Hampshire

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Lowest 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
New Hampshire
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Hampshire

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Hampshire Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Hampshire

Zip Code Births / 1,000 Women vs State vs National
1. 03894 2.0 44.0 (-42.0)#1 48.0 (-46.0)#22
2. 03033 3.0 44.0 (-41.0)#2 48.0 (-45.0)#66
3. 03045 5.0 44.0 (-39.0)#3 48.0 (-43.0)#178
4. 03458 6.0 44.0 (-38.0)#4 48.0 (-42.0)#260
5. 03872 6.0 44.0 (-38.0)#5 48.0 (-42.0)#269
6. 03841 7.0 44.0 (-37.0)#6 48.0 (-41.0)#348
7. 03585 8.0 44.0 (-36.0)#7 48.0 (-40.0)#505
8. 03470 9.0 44.0 (-35.0)#8 48.0 (-39.0)#602
9. 03576 10.0 44.0 (-34.0)#9 48.0 (-38.0)#779
10. 03057 10.0 44.0 (-34.0)#10 48.0 (-38.0)#781
11. 03588 10.0 44.0 (-34.0)#11 48.0 (-38.0)#797
12. 03824 11.0 44.0 (-33.0)#12 48.0 (-37.0)#851
13. 03216 11.0 44.0 (-33.0)#13 48.0 (-37.0)#953
14. 03031 12.0 44.0 (-32.0)#14 48.0 (-36.0)#1,033
15. 03755 12.0 44.0 (-32.0)#15 48.0 (-36.0)#1,041
16. 03440 13.0 44.0 (-31.0)#16 48.0 (-35.0)#1,288
17. 03602 13.0 44.0 (-31.0)#17 48.0 (-35.0)#1,300
18. 03842 14.0 44.0 (-30.0)#18 48.0 (-34.0)#1,380
19. 03235 14.0 44.0 (-30.0)#19 48.0 (-34.0)#1,408
20. 03835 14.0 44.0 (-30.0)#20 48.0 (-34.0)#1,421
21. 03858 14.0 44.0 (-30.0)#21 48.0 (-34.0)#1,443
22. 03581 14.0 44.0 (-30.0)#22 48.0 (-34.0)#1,461
23. 03561 15.0 44.0 (-29.0)#23 48.0 (-33.0)#1,626
24. 03785 15.0 44.0 (-29.0)#24 48.0 (-33.0)#1,679
25. 03465 15.0 44.0 (-29.0)#25 48.0 (-33.0)#1,682
26. 03049 16.0 44.0 (-28.0)#26 48.0 (-32.0)#1,802
27. 03244 16.0 44.0 (-28.0)#27 48.0 (-32.0)#1,809
28. 03884 16.0 44.0 (-28.0)#28 48.0 (-32.0)#1,835
29. 03264 17.0 44.0 (-27.0)#29 48.0 (-31.0)#2,006
30. 03256 17.0 44.0 (-27.0)#30 48.0 (-31.0)#2,049
31. 03449 17.0 44.0 (-27.0)#31 48.0 (-31.0)#2,067
32. 03071 18.0 44.0 (-26.0)#32 48.0 (-30.0)#2,218
33. 03086 19.0 44.0 (-25.0)#33 48.0 (-29.0)#2,459
34. 03823 19.0 44.0 (-25.0)#34 48.0 (-29.0)#2,495
35. 03868 20.0 44.0 (-24.0)#35 48.0 (-28.0)#2,679
36. 03827 20.0 44.0 (-24.0)#36 48.0 (-28.0)#2,720
37. 03290 21.0 44.0 (-23.0)#37 48.0 (-27.0)#2,957
38. 03266 21.0 44.0 (-23.0)#38 48.0 (-27.0)#3,008
39. 03782 22.0 44.0 (-22.0)#39 48.0 (-26.0)#3,230
40. 03242 23.0 44.0 (-21.0)#40 48.0 (-25.0)#3,453
41. 03856 25.0 44.0 (-19.0)#41 48.0 (-23.0)#4,087
42. 03227 25.0 44.0 (-19.0)#42 48.0 (-23.0)#4,098
43. 03229 27.0 44.0 (-17.0)#43 48.0 (-21.0)#4,617
44. 03826 27.0 44.0 (-17.0)#44 48.0 (-21.0)#4,658
45. 03103 28.0 44.0 (-16.0)#45 48.0 (-20.0)#4,762
46. 03106 28.0 44.0 (-16.0)#46 48.0 (-20.0)#4,853
47. 03055 29.0 44.0 (-15.0)#47 48.0 (-19.0)#5,120
48. 03574 29.0 44.0 (-15.0)#48 48.0 (-19.0)#5,240
49. 03287 29.0 44.0 (-15.0)#49 48.0 (-19.0)#5,266
50. 03053 30.0 44.0 (-14.0)#50 48.0 (-18.0)#5,398
51. 03064 30.0 44.0 (-14.0)#51 48.0 (-18.0)#5,448
52. 03254 30.0 44.0 (-14.0)#52 48.0 (-18.0)#5,514
53. 03278 30.0 44.0 (-14.0)#53 48.0 (-18.0)#5,546
54. 03431 31.0 44.0 (-13.0)#54 48.0 (-17.0)#5,683
55. 03743 32.0 44.0 (-12.0)#55 48.0 (-16.0)#6,038
56. 03070 32.0 44.0 (-12.0)#56 48.0 (-16.0)#6,091
57. 03082 32.0 44.0 (-12.0)#57 48.0 (-16.0)#6,182
58. 03084 32.0 44.0 (-12.0)#58 48.0 (-16.0)#6,190
59. 03857 33.0 44.0 (-11.0)#59 48.0 (-15.0)#6,410
60. 03848 33.0 44.0 (-11.0)#60 48.0 (-15.0)#6,431
61. 03580 33.0 44.0 (-11.0)#61 48.0 (-15.0)#6,516
62. 03102 34.0 44.0 (-10.00)#62 48.0 (-14.0)#6,620
63. 03281 34.0 44.0 (-10.00)#63 48.0 (-14.0)#6,745
64. 03046 34.0 44.0 (-10.00)#64 48.0 (-14.0)#6,793
65. 03221 34.0 44.0 (-10.00)#65 48.0 (-14.0)#6,800
66. 03467 34.0 44.0 (-10.00)#66 48.0 (-14.0)#6,804
67. 03442 34.0 44.0 (-10.00)#67 48.0 (-14.0)#6,824
68. 03243 34.0 44.0 (-10.00)#68 48.0 (-14.0)#6,845
69. 03773 35.0 44.0 (-9.00)#69 48.0 (-13.0)#7,041
70. 03873 35.0 44.0 (-9.00)#70 48.0 (-13.0)#7,050
71. 03234 36.0 44.0 (-8.00)#71 48.0 (-12.0)#7,372
72. 03801 37.0 44.0 (-7.00)#72 48.0 (-11.0)#7,586
73. 03032 37.0 44.0 (-7.00)#73 48.0 (-11.0)#7,704
74. 03042 38.0 44.0 (-6.00)#74 48.0 (-10.00)#7,993
75. 03301 39.0 44.0 (-5.00)#75 48.0 (-9.00)#8,229
76. 03874 39.0 44.0 (-5.00)#76 48.0 (-9.00)#8,355
77. 03307 39.0 44.0 (-5.00)#77 48.0 (-9.00)#8,371
78. 03285 39.0 44.0 (-5.00)#78 48.0 (-9.00)#8,399
79. 03104 40.0 44.0 (-4.00)#79 48.0 (-8.00)#8,519
80. 03038 40.0 44.0 (-4.00)#80 48.0 (-8.00)#8,520
81. 03816 40.0 44.0 (-4.00)#81 48.0 (-8.00)#8,765
82. 03457 40.0 44.0 (-4.00)#82 48.0 (-8.00)#8,785
83. 03047 42.0 44.0 (-2.00)#83 48.0 (-6.00)#9,443
84. 03110 43.0 44.0 (-1.000)#84 48.0 (-5.00)#9,610
85. 03076 43.0 44.0 (-1.000)#85 48.0 (-5.00)#9,658
86. 03839 43.0 44.0 (-1.000)#86 48.0 (-5.00)#9,725
87. 03590 43.0 44.0 (-1.000)#87 48.0 (-5.00)#9,784
88. 03087 44.0 44.0 (=0.000)#88 48.0 (-4.00)#9,971
89. 03752 45.0 44.0 (+1.000)#89 48.0 (-3.00)#10,429
90. 03051 46.0 44.0 (+2.00)#90 48.0 (-2.00)#10,573
91. 03768 46.0 44.0 (+2.00)#91 48.0 (-2.00)#10,723
92. 03867 47.0 44.0 (+3.00)#92 48.0 (-1.000)#10,866
93. 03887 47.0 44.0 (+3.00)#93 48.0 (-1.000)#11,019
94. 03820 49.0 44.0 (+5.00)#94 48.0 (+1.000)#11,442
95. 03303 49.0 44.0 (+5.00)#95 48.0 (+1.000)#11,506
96. 03819 49.0 44.0 (+5.00)#96 48.0 (+1.000)#11,587
97. 03777 49.0 44.0 (+5.00)#97 48.0 (+1.000)#11,626
98. 03740 50.0 44.0 (+6.00)#98 48.0 (+2.00)#11,927
99. 03813 51.0 44.0 (+7.00)#99 48.0 (+3.00)#12,169
100. 03048 51.0 44.0 (+7.00)#100 48.0 (+3.00)#12,171

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Hampshire?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Hampshire are:
#1
2.0
#2
3.0
#3
5.0
#4
6.0
#5
6.0
#6
7.0
#7
8.0
#8
9.0
#9
10.0
#10
10.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in New Hampshire?
03894 has the Lowest Births per 1,000 Women in Labor Force in New Hampshire with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of New Hampshire?
Number Births per 1,000 Women in Labor Force in New Hampshire is 44.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.