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

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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 Jersey
Compare Zip Codes
Comparison Subject

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

50.0
250.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Jersey Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 08224 250.0 52.0 (+198)#1 53.0 (+197)#658
2. 08247 232.0 52.0 (+180)#2 53.0 (+179)#758
3. 07935 210.0 52.0 (+158)#3 53.0 (+157)#889
4. 08836 199.0 52.0 (+147)#4 53.0 (+146)#997
5. 08533 178.0 52.0 (+126)#5 53.0 (+125)#1,240
6. 08701 175.0 52.0 (+123)#6 53.0 (+122)#1,276
7. 07422 170.0 52.0 (+118)#7 53.0 (+117)#1,362
8. 08352 144.0 52.0 (+92.0)#8 53.0 (+91.0)#1,904
9. 07702 143.0 52.0 (+91.0)#9 53.0 (+90.0)#1,911
10. 07064 139.0 52.0 (+87.0)#10 53.0 (+86.0)#2,022
11. 07068 137.0 52.0 (+85.0)#11 53.0 (+84.0)#2,085
12. 07031 136.0 52.0 (+84.0)#12 53.0 (+83.0)#2,108
13. 07092 136.0 52.0 (+84.0)#13 53.0 (+83.0)#2,111
14. 07885 133.0 52.0 (+81.0)#14 53.0 (+80.0)#2,213
15. 08882 130.0 52.0 (+78.0)#15 53.0 (+77.0)#2,304
16. 08555 129.0 52.0 (+77.0)#16 53.0 (+76.0)#2,376
17. 08210 126.0 52.0 (+74.0)#17 53.0 (+73.0)#2,474
18. 07004 124.0 52.0 (+72.0)#18 53.0 (+71.0)#2,561
19. 07980 124.0 52.0 (+72.0)#19 53.0 (+71.0)#2,570
20. 08609 117.0 52.0 (+65.0)#20 53.0 (+64.0)#2,873
21. 08078 117.0 52.0 (+65.0)#21 53.0 (+64.0)#2,878
22. 08027 115.0 52.0 (+63.0)#22 53.0 (+62.0)#2,973
23. 07832 115.0 52.0 (+63.0)#23 53.0 (+62.0)#2,978
24. 08511 115.0 52.0 (+63.0)#24 53.0 (+62.0)#3,000
25. 08311 111.0 52.0 (+59.0)#25 53.0 (+58.0)#3,209
26. 08802 110.0 52.0 (+58.0)#26 53.0 (+57.0)#3,272
27. 08093 103.0 52.0 (+51.0)#27 53.0 (+50.0)#3,711
28. 07027 103.0 52.0 (+51.0)#28 53.0 (+50.0)#3,730
29. 08314 103.0 52.0 (+51.0)#29 53.0 (+50.0)#3,775
30. 07660 101.0 52.0 (+49.0)#30 53.0 (+48.0)#3,875
31. 07011 98.0 52.0 (+46.0)#31 53.0 (+45.0)#4,096
32. 07106 98.0 52.0 (+46.0)#32 53.0 (+45.0)#4,098
33. 07001 96.0 52.0 (+44.0)#33 53.0 (+43.0)#4,292
34. 07828 96.0 52.0 (+44.0)#34 53.0 (+43.0)#4,297
35. 08102 95.0 52.0 (+43.0)#35 53.0 (+42.0)#4,399
36. 07738 95.0 52.0 (+43.0)#36 53.0 (+42.0)#4,405
37. 07006 94.0 52.0 (+42.0)#37 53.0 (+41.0)#4,483
38. 08201 94.0 52.0 (+42.0)#38 53.0 (+41.0)#4,503
39. 08823 92.0 52.0 (+40.0)#39 53.0 (+39.0)#4,671
40. 07757 92.0 52.0 (+40.0)#40 53.0 (+39.0)#4,683
41. 08850 90.0 52.0 (+38.0)#41 53.0 (+37.0)#4,897
42. 07440 90.0 52.0 (+38.0)#42 53.0 (+37.0)#4,910
43. 07458 88.0 52.0 (+36.0)#43 53.0 (+35.0)#5,086
44. 07876 88.0 52.0 (+36.0)#44 53.0 (+35.0)#5,090
45. 08527 87.0 52.0 (+35.0)#45 53.0 (+34.0)#5,179
46. 08234 85.0 52.0 (+33.0)#46 53.0 (+32.0)#5,420
47. 07646 85.0 52.0 (+33.0)#47 53.0 (+32.0)#5,447
48. 08031 85.0 52.0 (+33.0)#48 53.0 (+32.0)#5,461
49. 08221 85.0 52.0 (+33.0)#49 53.0 (+32.0)#5,479
50. 08092 85.0 52.0 (+33.0)#50 53.0 (+32.0)#5,510
51. 08016 84.0 52.0 (+32.0)#51 53.0 (+31.0)#5,570
52. 07666 83.0 52.0 (+31.0)#52 53.0 (+30.0)#5,685
53. 08611 83.0 52.0 (+31.0)#53 53.0 (+30.0)#5,693
54. 07857 83.0 52.0 (+31.0)#54 53.0 (+30.0)#5,757
55. 07024 82.0 52.0 (+30.0)#55 53.0 (+29.0)#5,827
56. 07522 82.0 52.0 (+30.0)#56 53.0 (+29.0)#5,846
57. 07407 82.0 52.0 (+30.0)#57 53.0 (+29.0)#5,847
58. 08067 82.0 52.0 (+30.0)#58 53.0 (+29.0)#5,931
59. 07302 81.0 52.0 (+29.0)#59 53.0 (+28.0)#5,972
60. 08203 81.0 52.0 (+29.0)#60 53.0 (+28.0)#6,037
61. 07711 81.0 52.0 (+29.0)#61 53.0 (+28.0)#6,094
62. 07060 80.0 52.0 (+28.0)#62 53.0 (+27.0)#6,142
63. 07663 80.0 52.0 (+28.0)#63 53.0 (+27.0)#6,180
64. 07764 80.0 52.0 (+28.0)#64 53.0 (+27.0)#6,192
65. 08066 80.0 52.0 (+28.0)#65 53.0 (+27.0)#6,196
66. 07058 80.0 52.0 (+28.0)#66 53.0 (+27.0)#6,207
67. 08880 80.0 52.0 (+28.0)#67 53.0 (+27.0)#6,214
68. 07712 79.0 52.0 (+27.0)#68 53.0 (+26.0)#6,292
69. 08837 79.0 52.0 (+27.0)#69 53.0 (+26.0)#6,330
70. 08204 79.0 52.0 (+27.0)#70 53.0 (+26.0)#6,338
71. 08828 79.0 52.0 (+27.0)#71 53.0 (+26.0)#6,403
72. 08048 78.0 52.0 (+26.0)#72 53.0 (+25.0)#6,502
73. 08106 78.0 52.0 (+26.0)#73 53.0 (+25.0)#6,512
74. 07945 78.0 52.0 (+26.0)#74 53.0 (+25.0)#6,513
75. 08344 78.0 52.0 (+26.0)#75 53.0 (+25.0)#6,535
76. 08030 77.0 52.0 (+25.0)#76 53.0 (+24.0)#6,653
77. 07057 77.0 52.0 (+25.0)#77 53.0 (+24.0)#6,657
78. 08244 77.0 52.0 (+25.0)#78 53.0 (+24.0)#6,661
79. 07921 77.0 52.0 (+25.0)#79 53.0 (+24.0)#6,675
80. 07439 77.0 52.0 (+25.0)#80 53.0 (+24.0)#6,722
81. 07065 76.0 52.0 (+24.0)#81 53.0 (+23.0)#6,809
82. 08755 76.0 52.0 (+24.0)#82 53.0 (+23.0)#6,814
83. 07504 76.0 52.0 (+24.0)#83 53.0 (+23.0)#6,844
84. 08558 76.0 52.0 (+24.0)#84 53.0 (+23.0)#6,868
85. 08230 76.0 52.0 (+24.0)#85 53.0 (+23.0)#6,875
86. 08341 76.0 52.0 (+24.0)#86 53.0 (+23.0)#6,914
87. 07063 75.0 52.0 (+23.0)#87 53.0 (+22.0)#7,006
88. 08401 74.0 52.0 (+22.0)#88 53.0 (+21.0)#7,148
89. 08731 74.0 52.0 (+22.0)#89 53.0 (+21.0)#7,175
90. 07012 74.0 52.0 (+22.0)#90 53.0 (+21.0)#7,195
91. 07756 74.0 52.0 (+22.0)#91 53.0 (+21.0)#7,260
92. 07008 73.0 52.0 (+21.0)#92 53.0 (+20.0)#7,372
93. 08109 73.0 52.0 (+21.0)#93 53.0 (+20.0)#7,376
94. 08110 73.0 52.0 (+21.0)#94 53.0 (+20.0)#7,388
95. 07072 73.0 52.0 (+21.0)#95 53.0 (+20.0)#7,444
96. 07021 73.0 52.0 (+21.0)#96 53.0 (+20.0)#7,493
97. 07105 72.0 52.0 (+20.0)#97 53.0 (+19.0)#7,554
98. 07724 72.0 52.0 (+20.0)#98 53.0 (+19.0)#7,608
99. 08070 72.0 52.0 (+20.0)#99 53.0 (+19.0)#7,648
100. 08068 72.0 52.0 (+20.0)#100 53.0 (+19.0)#7,666

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Jersey?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Jersey are:
#1
250.0
#2
232.0
#3
210.0
#4
199.0
#5
178.0
#6
175.0
#7
170.0
#8
144.0
#9
143.0
#10
139.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in New Jersey?
08224 has the Most Births per 1,000 Women Below Poverty Level in New Jersey with 250.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of New Jersey?
Number of Births per 1,000 Women Below Poverty Level in New Jersey is 52.0.
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.