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

0.0
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
1.08224250.052.0(+198)#153.0(+197)#658
2.08247232.052.0(+180)#253.0(+179)#758
3.07935210.052.0(+158)#353.0(+157)#889
4.08836199.052.0(+147)#453.0(+146)#997
5.08533178.052.0(+126)#553.0(+125)#1,240
6.08701175.052.0(+123)#653.0(+122)#1,276
7.07422170.052.0(+118)#753.0(+117)#1,362
8.08352144.052.0(+92.0)#853.0(+91.0)#1,904
9.07702143.052.0(+91.0)#953.0(+90.0)#1,911
10.07064139.052.0(+87.0)#1053.0(+86.0)#2,022
11.07068137.052.0(+85.0)#1153.0(+84.0)#2,085
12.07031136.052.0(+84.0)#1253.0(+83.0)#2,108
13.07092136.052.0(+84.0)#1353.0(+83.0)#2,111
14.07885133.052.0(+81.0)#1453.0(+80.0)#2,213
15.08882130.052.0(+78.0)#1553.0(+77.0)#2,304
16.08555129.052.0(+77.0)#1653.0(+76.0)#2,376
17.08210126.052.0(+74.0)#1753.0(+73.0)#2,474
18.07004124.052.0(+72.0)#1853.0(+71.0)#2,561
19.07980124.052.0(+72.0)#1953.0(+71.0)#2,570
20.08609117.052.0(+65.0)#2053.0(+64.0)#2,873
21.08078117.052.0(+65.0)#2153.0(+64.0)#2,878
22.08027115.052.0(+63.0)#2253.0(+62.0)#2,973
23.07832115.052.0(+63.0)#2353.0(+62.0)#2,978
24.08511115.052.0(+63.0)#2453.0(+62.0)#3,000
25.08311111.052.0(+59.0)#2553.0(+58.0)#3,209
26.08802110.052.0(+58.0)#2653.0(+57.0)#3,272
27.08093103.052.0(+51.0)#2753.0(+50.0)#3,711
28.07027103.052.0(+51.0)#2853.0(+50.0)#3,730
29.08314103.052.0(+51.0)#2953.0(+50.0)#3,775
30.07660101.052.0(+49.0)#3053.0(+48.0)#3,875
31.0701198.052.0(+46.0)#3153.0(+45.0)#4,096
32.0710698.052.0(+46.0)#3253.0(+45.0)#4,098
33.0700196.052.0(+44.0)#3353.0(+43.0)#4,292
34.0782896.052.0(+44.0)#3453.0(+43.0)#4,297
35.0810295.052.0(+43.0)#3553.0(+42.0)#4,399
36.0773895.052.0(+43.0)#3653.0(+42.0)#4,405
37.0700694.052.0(+42.0)#3753.0(+41.0)#4,483
38.0820194.052.0(+42.0)#3853.0(+41.0)#4,503
39.0882392.052.0(+40.0)#3953.0(+39.0)#4,671
40.0775792.052.0(+40.0)#4053.0(+39.0)#4,683
41.0885090.052.0(+38.0)#4153.0(+37.0)#4,897
42.0744090.052.0(+38.0)#4253.0(+37.0)#4,910
43.0745888.052.0(+36.0)#4353.0(+35.0)#5,086
44.0787688.052.0(+36.0)#4453.0(+35.0)#5,090
45.0852787.052.0(+35.0)#4553.0(+34.0)#5,179
46.0823485.052.0(+33.0)#4653.0(+32.0)#5,420
47.0764685.052.0(+33.0)#4753.0(+32.0)#5,447
48.0803185.052.0(+33.0)#4853.0(+32.0)#5,461
49.0822185.052.0(+33.0)#4953.0(+32.0)#5,479
50.0809285.052.0(+33.0)#5053.0(+32.0)#5,510
51.0801684.052.0(+32.0)#5153.0(+31.0)#5,570
52.0766683.052.0(+31.0)#5253.0(+30.0)#5,685
53.0861183.052.0(+31.0)#5353.0(+30.0)#5,693
54.0785783.052.0(+31.0)#5453.0(+30.0)#5,757
55.0702482.052.0(+30.0)#5553.0(+29.0)#5,827
56.0752282.052.0(+30.0)#5653.0(+29.0)#5,846
57.0740782.052.0(+30.0)#5753.0(+29.0)#5,847
58.0806782.052.0(+30.0)#5853.0(+29.0)#5,931
59.0730281.052.0(+29.0)#5953.0(+28.0)#5,972
60.0820381.052.0(+29.0)#6053.0(+28.0)#6,037
61.0771181.052.0(+29.0)#6153.0(+28.0)#6,094
62.0706080.052.0(+28.0)#6253.0(+27.0)#6,142
63.0766380.052.0(+28.0)#6353.0(+27.0)#6,180
64.0776480.052.0(+28.0)#6453.0(+27.0)#6,192
65.0806680.052.0(+28.0)#6553.0(+27.0)#6,196
66.0705880.052.0(+28.0)#6653.0(+27.0)#6,207
67.0888080.052.0(+28.0)#6753.0(+27.0)#6,214
68.0771279.052.0(+27.0)#6853.0(+26.0)#6,292
69.0883779.052.0(+27.0)#6953.0(+26.0)#6,330
70.0820479.052.0(+27.0)#7053.0(+26.0)#6,338
71.0882879.052.0(+27.0)#7153.0(+26.0)#6,403
72.0804878.052.0(+26.0)#7253.0(+25.0)#6,502
73.0810678.052.0(+26.0)#7353.0(+25.0)#6,512
74.0794578.052.0(+26.0)#7453.0(+25.0)#6,513
75.0834478.052.0(+26.0)#7553.0(+25.0)#6,535
76.0803077.052.0(+25.0)#7653.0(+24.0)#6,653
77.0705777.052.0(+25.0)#7753.0(+24.0)#6,657
78.0824477.052.0(+25.0)#7853.0(+24.0)#6,661
79.0792177.052.0(+25.0)#7953.0(+24.0)#6,675
80.0743977.052.0(+25.0)#8053.0(+24.0)#6,722
81.0706576.052.0(+24.0)#8153.0(+23.0)#6,809
82.0875576.052.0(+24.0)#8253.0(+23.0)#6,814
83.0750476.052.0(+24.0)#8353.0(+23.0)#6,844
84.0855876.052.0(+24.0)#8453.0(+23.0)#6,868
85.0823076.052.0(+24.0)#8553.0(+23.0)#6,875
86.0834176.052.0(+24.0)#8653.0(+23.0)#6,914
87.0706375.052.0(+23.0)#8753.0(+22.0)#7,006
88.0840174.052.0(+22.0)#8853.0(+21.0)#7,148
89.0873174.052.0(+22.0)#8953.0(+21.0)#7,175
90.0701274.052.0(+22.0)#9053.0(+21.0)#7,195
91.0775674.052.0(+22.0)#9153.0(+21.0)#7,260
92.0700873.052.0(+21.0)#9253.0(+20.0)#7,372
93.0810973.052.0(+21.0)#9353.0(+20.0)#7,376
94.0811073.052.0(+21.0)#9453.0(+20.0)#7,388
95.0707273.052.0(+21.0)#9553.0(+20.0)#7,444
96.0702173.052.0(+21.0)#9653.0(+20.0)#7,493
97.0710572.052.0(+20.0)#9753.0(+19.0)#7,554
98.0772472.052.0(+20.0)#9853.0(+19.0)#7,608
99.0807072.052.0(+20.0)#9953.0(+19.0)#7,648
100.0806872.052.0(+20.0)#10053.0(+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.