Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Hampshire

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Highest 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
New Hampshire
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Hampshire

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Hampshire Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Hampshire

Zip Code Births / 1,000 Women vs State vs National
1. 03291 1,000.0 48.0 (+952)#1 53.0 (+947)#32
2. 03238 1,000.0 48.0 (+952)#2 53.0 (+947)#45
3. 03883 438.0 48.0 (+390)#3 53.0 (+385)#226
4. 03441 388.0 48.0 (+340)#4 53.0 (+335)#275
5. 03812 286.0 48.0 (+238)#5 53.0 (+233)#497
6. 03249 271.0 48.0 (+223)#6 53.0 (+218)#558
7. 03607 224.0 48.0 (+176)#7 53.0 (+171)#811
8. 03282 218.0 48.0 (+170)#8 53.0 (+165)#847
9. 03084 186.0 48.0 (+138)#9 53.0 (+133)#1,149
10. 03855 174.0 48.0 (+126)#10 53.0 (+121)#1,294
11. 03781 169.0 48.0 (+121)#11 53.0 (+116)#1,384
12. 03771 165.0 48.0 (+117)#12 53.0 (+112)#1,471
13. 03240 158.0 48.0 (+110)#13 53.0 (+105)#1,599
14. 03745 143.0 48.0 (+95.0)#14 53.0 (+90.0)#1,918
15. 03077 140.0 48.0 (+92.0)#15 53.0 (+87.0)#1,984
16. 03750 139.0 48.0 (+91.0)#16 53.0 (+86.0)#2,038
17. 03445 138.0 48.0 (+90.0)#17 53.0 (+85.0)#2,072
18. 03223 136.0 48.0 (+88.0)#18 53.0 (+83.0)#2,118
19. 03854 132.0 48.0 (+84.0)#19 53.0 (+79.0)#2,270
20. 03570 121.0 48.0 (+73.0)#20 53.0 (+68.0)#2,692
21. 03467 119.0 48.0 (+71.0)#21 53.0 (+66.0)#2,780
22. 03814 115.0 48.0 (+67.0)#22 53.0 (+62.0)#2,982
23. 03245 107.0 48.0 (+59.0)#23 53.0 (+54.0)#3,465
24. 03224 104.0 48.0 (+56.0)#24 53.0 (+51.0)#3,674
25. 03766 103.0 48.0 (+55.0)#25 53.0 (+50.0)#3,709
26. 03851 102.0 48.0 (+54.0)#26 53.0 (+49.0)#3,812
27. 03255 102.0 48.0 (+54.0)#27 53.0 (+49.0)#3,835
28. 03275 101.0 48.0 (+53.0)#28 53.0 (+48.0)#3,877
29. 03261 101.0 48.0 (+53.0)#29 53.0 (+48.0)#3,884
30. 03748 95.0 48.0 (+47.0)#30 53.0 (+42.0)#4,414
31. 03258 91.0 48.0 (+43.0)#31 53.0 (+38.0)#4,809
32. 03060 88.0 48.0 (+40.0)#32 53.0 (+35.0)#5,060
33. 03813 88.0 48.0 (+40.0)#33 53.0 (+35.0)#5,108
34. 03034 87.0 48.0 (+39.0)#34 53.0 (+34.0)#5,246
35. 03043 83.0 48.0 (+35.0)#35 53.0 (+30.0)#5,790
36. 03603 80.0 48.0 (+32.0)#36 53.0 (+27.0)#6,211
37. 03447 79.0 48.0 (+31.0)#37 53.0 (+26.0)#6,404
38. 03217 78.0 48.0 (+30.0)#38 53.0 (+25.0)#6,565
39. 03246 76.0 48.0 (+28.0)#39 53.0 (+23.0)#6,836
40. 03101 75.0 48.0 (+27.0)#40 53.0 (+22.0)#7,067
41. 03464 74.0 48.0 (+26.0)#41 53.0 (+21.0)#7,305
42. 03036 73.0 48.0 (+25.0)#42 53.0 (+20.0)#7,455
43. 03743 72.0 48.0 (+24.0)#43 53.0 (+19.0)#7,644
44. 03071 72.0 48.0 (+24.0)#44 53.0 (+19.0)#7,679
45. 03444 71.0 48.0 (+23.0)#45 53.0 (+18.0)#7,924
46. 03243 71.0 48.0 (+23.0)#46 53.0 (+18.0)#7,942
47. 03063 70.0 48.0 (+22.0)#47 53.0 (+17.0)#8,039
48. 03869 68.0 48.0 (+20.0)#48 53.0 (+15.0)#8,553
49. 03062 67.0 48.0 (+19.0)#49 53.0 (+14.0)#8,652
50. 03448 67.0 48.0 (+19.0)#50 53.0 (+14.0)#8,813
51. 03048 66.0 48.0 (+18.0)#51 53.0 (+13.0)#9,053
52. 03837 66.0 48.0 (+18.0)#52 53.0 (+13.0)#9,089
53. 03268 66.0 48.0 (+18.0)#53 53.0 (+13.0)#9,091
54. 03816 66.0 48.0 (+18.0)#54 53.0 (+13.0)#9,093
55. 03878 64.0 48.0 (+16.0)#55 53.0 (+11.0)#9,487
56. 03885 64.0 48.0 (+16.0)#56 53.0 (+11.0)#9,514
57. 03840 64.0 48.0 (+16.0)#57 53.0 (+11.0)#9,546
58. 03582 64.0 48.0 (+16.0)#58 53.0 (+11.0)#9,576
59. 03882 64.0 48.0 (+16.0)#59 53.0 (+11.0)#9,583
60. 03079 63.0 48.0 (+15.0)#60 53.0 (+10.00)#9,707
61. 03054 63.0 48.0 (+15.0)#61 53.0 (+10.00)#9,719
62. 03865 63.0 48.0 (+15.0)#62 53.0 (+10.00)#9,814
63. 03237 63.0 48.0 (+15.0)#63 53.0 (+10.00)#9,876
64. 03867 62.0 48.0 (+14.0)#64 53.0 (+9.00)#10,047
65. 03251 62.0 48.0 (+14.0)#65 53.0 (+9.00)#10,176
66. 03241 62.0 48.0 (+14.0)#66 53.0 (+9.00)#10,183
67. 03109 60.0 48.0 (+12.0)#67 53.0 (+7.00)#10,670
68. 03052 60.0 48.0 (+12.0)#68 53.0 (+7.00)#10,682
69. 03811 60.0 48.0 (+12.0)#69 53.0 (+7.00)#10,690
70. 03287 59.0 48.0 (+11.0)#70 53.0 (+6.00)#11,041
71. 03276 58.0 48.0 (+10.00)#71 53.0 (+5.00)#11,277
72. 03442 58.0 48.0 (+10.00)#72 53.0 (+5.00)#11,357
73. 03609 57.0 48.0 (+9.00)#73 53.0 (+4.00)#11,697
74. 03875 56.0 48.0 (+8.00)#74 53.0 (+3.00)#11,977
75. 03044 55.0 48.0 (+7.00)#75 53.0 (+2.00)#12,240
76. 03801 54.0 48.0 (+6.00)#76 53.0 (+1.000)#12,445
77. 03455 54.0 48.0 (+6.00)#77 53.0 (+1.000)#12,591
78. 03304 52.0 48.0 (+4.00)#78 53.0 (-1.000)#13,161
79. 03225 52.0 48.0 (+4.00)#79 53.0 (-1.000)#13,207
80. 03456 52.0 48.0 (+4.00)#80 53.0 (-1.000)#13,272
81. 03103 51.0 48.0 (+3.00)#81 53.0 (-2.00)#13,341
82. 03820 51.0 48.0 (+3.00)#82 53.0 (-2.00)#13,357
83. 03833 51.0 48.0 (+3.00)#83 53.0 (-2.00)#13,399
84. 03446 51.0 48.0 (+3.00)#84 53.0 (-2.00)#13,498
85. 03887 50.0 48.0 (+2.00)#85 53.0 (-3.00)#13,926
86. 03047 50.0 48.0 (+2.00)#86 53.0 (-3.00)#13,934
87. 03458 49.0 48.0 (+1.000)#87 53.0 (-4.00)#14,208
88. 03303 48.0 48.0 (=0.000)#88 53.0 (-5.00)#14,500
89. 03825 48.0 48.0 (=0.000)#89 53.0 (-5.00)#14,551
90. 03104 46.0 48.0 (-2.00)#90 53.0 (-7.00)#15,102
91. 03466 46.0 48.0 (-2.00)#91 53.0 (-7.00)#15,346
92. 03038 44.0 48.0 (-4.00)#92 53.0 (-9.00)#15,810
93. 03301 44.0 48.0 (-4.00)#93 53.0 (-9.00)#15,816
94. 03226 43.0 48.0 (-5.00)#94 53.0 (-10.00)#16,452
95. 03051 42.0 48.0 (-6.00)#95 53.0 (-11.0)#16,597
96. 03281 42.0 48.0 (-6.00)#96 53.0 (-11.0)#16,694
97. 03234 42.0 48.0 (-6.00)#97 53.0 (-11.0)#16,736
98. 03086 42.0 48.0 (-6.00)#98 53.0 (-11.0)#16,748
99. 03777 42.0 48.0 (-6.00)#99 53.0 (-11.0)#16,813
100. 03819 41.0 48.0 (-7.00)#100 53.0 (-12.0)#17,068

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Hampshire?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Hampshire are:
#1
1,000.0
#2
1,000.0
#3
438.0
#4
388.0
#5
286.0
#6
271.0
#7
224.0
#8
218.0
#9
186.0
#10
174.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in New Hampshire?
03291 has the Most Births per 1,000 Women Below Poverty Level in New Hampshire with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of New Hampshire?
Number of Births per 1,000 Women Below Poverty Level in New Hampshire is 48.0.
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.