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

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Lowest 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 Fewest Births per 1,000 Women Below Poverty Level in New Jersey

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

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

Zip Code Births / 1,000 Women vs State vs National
1.076575.052.0(-47.0)#153.0(-48.0)#145
2.085625.052.0(-47.0)#253.0(-48.0)#162
3.078636.052.0(-46.0)#353.0(-47.0)#235
4.075038.052.0(-44.0)#453.0(-45.0)#359
5.074168.052.0(-44.0)#553.0(-45.0)#380
6.087308.052.0(-44.0)#653.0(-45.0)#384
7.087339.052.0(-43.0)#753.0(-44.0)#514
8.0792410.052.0(-42.0)#853.0(-43.0)#605
9.0750510.052.0(-42.0)#953.0(-43.0)#621
10.0883210.052.0(-42.0)#1053.0(-43.0)#637
11.0822611.052.0(-41.0)#1153.0(-42.0)#720
12.0746211.052.0(-41.0)#1253.0(-42.0)#744
13.0760611.052.0(-41.0)#1353.0(-42.0)#768
14.0772311.052.0(-41.0)#1453.0(-42.0)#819
15.0764912.052.0(-40.0)#1553.0(-41.0)#868
16.0762712.052.0(-40.0)#1653.0(-41.0)#888
17.0808912.052.0(-40.0)#1753.0(-41.0)#894
18.0706613.052.0(-39.0)#1853.0(-40.0)#989
19.0793613.052.0(-39.0)#1953.0(-40.0)#1,001
20.0772113.052.0(-39.0)#2053.0(-40.0)#1,046
21.0882913.052.0(-39.0)#2153.0(-40.0)#1,050
22.0700914.052.0(-38.0)#2253.0(-39.0)#1,147
23.0776014.052.0(-38.0)#2353.0(-39.0)#1,154
24.0775014.052.0(-38.0)#2453.0(-39.0)#1,201
25.0855015.052.0(-37.0)#2553.0(-38.0)#1,298
26.0762615.052.0(-37.0)#2653.0(-38.0)#1,323
27.0771815.052.0(-37.0)#2753.0(-38.0)#1,333
28.0831216.052.0(-36.0)#2853.0(-37.0)#1,518
29.0863817.052.0(-35.0)#2953.0(-36.0)#1,659
30.0834317.052.0(-35.0)#3053.0(-36.0)#1,719
31.0854018.052.0(-34.0)#3153.0(-35.0)#1,817
32.0751418.052.0(-34.0)#3253.0(-35.0)#1,838
33.0744218.052.0(-34.0)#3353.0(-35.0)#1,860
34.0802218.052.0(-34.0)#3453.0(-35.0)#1,864
35.0704519.052.0(-33.0)#3553.0(-34.0)#2,056
36.0746519.052.0(-33.0)#3653.0(-34.0)#2,081
37.0886719.052.0(-33.0)#3753.0(-34.0)#2,083
38.0704619.052.0(-33.0)#3853.0(-34.0)#2,097
39.0820219.052.0(-33.0)#3953.0(-34.0)#2,142
40.0869120.052.0(-32.0)#4053.0(-33.0)#2,229
41.0805120.052.0(-32.0)#4153.0(-33.0)#2,237
42.0745620.052.0(-32.0)#4253.0(-33.0)#2,240
43.0776220.052.0(-32.0)#4353.0(-33.0)#2,262
44.0885320.052.0(-32.0)#4453.0(-33.0)#2,280
45.0853520.052.0(-32.0)#4553.0(-33.0)#2,290
46.0820521.052.0(-31.0)#4653.0(-32.0)#2,438
47.0808821.052.0(-31.0)#4753.0(-32.0)#2,448
48.0805721.052.0(-31.0)#4853.0(-32.0)#2,458
49.0880921.052.0(-31.0)#4953.0(-32.0)#2,515
50.0800721.052.0(-31.0)#5053.0(-32.0)#2,529
51.0808622.052.0(-30.0)#5153.0(-31.0)#2,735
52.0740122.052.0(-30.0)#5253.0(-31.0)#2,744
53.0855422.052.0(-30.0)#5353.0(-31.0)#2,776
54.0711023.052.0(-29.0)#5453.0(-30.0)#2,924
55.0767523.052.0(-29.0)#5553.0(-30.0)#2,931
56.0767023.052.0(-29.0)#5653.0(-30.0)#2,963
57.0788223.052.0(-29.0)#5753.0(-30.0)#2,966
58.0882423.052.0(-29.0)#5853.0(-30.0)#2,972
59.0782123.052.0(-29.0)#5953.0(-30.0)#2,986
60.0702823.052.0(-29.0)#6053.0(-30.0)#3,001
61.0772723.052.0(-29.0)#6153.0(-30.0)#3,012
62.0803623.052.0(-29.0)#6253.0(-30.0)#3,019
63.0809123.052.0(-29.0)#6353.0(-30.0)#3,022
64.0882623.052.0(-29.0)#6453.0(-30.0)#3,024
65.0774624.052.0(-28.0)#6553.0(-29.0)#3,193
66.0741724.052.0(-28.0)#6653.0(-29.0)#3,220
67.0766224.052.0(-28.0)#6753.0(-29.0)#3,258
68.0773224.052.0(-28.0)#6853.0(-29.0)#3,273
69.0880424.052.0(-28.0)#6953.0(-29.0)#3,293
70.0707724.052.0(-28.0)#7053.0(-29.0)#3,302
71.0762024.052.0(-28.0)#7153.0(-29.0)#3,342
72.0881225.052.0(-27.0)#7253.0(-28.0)#3,483
73.0853025.052.0(-27.0)#7353.0(-28.0)#3,512
74.0872426.052.0(-26.0)#7453.0(-27.0)#3,675
75.0745026.052.0(-26.0)#7553.0(-27.0)#3,699
76.0869026.052.0(-26.0)#7653.0(-27.0)#3,721
77.0810826.052.0(-26.0)#7753.0(-27.0)#3,722
78.0764126.052.0(-26.0)#7853.0(-27.0)#3,814
79.0771726.052.0(-26.0)#7953.0(-27.0)#3,854
80.0833227.052.0(-25.0)#8053.0(-26.0)#3,939
81.0780127.052.0(-25.0)#8153.0(-26.0)#3,961
82.0771927.052.0(-25.0)#8253.0(-26.0)#3,973
83.0853427.052.0(-25.0)#8353.0(-26.0)#4,004
84.0826027.052.0(-25.0)#8453.0(-26.0)#4,006
85.0765627.052.0(-25.0)#8553.0(-26.0)#4,020
86.0832827.052.0(-25.0)#8653.0(-26.0)#4,126
87.0772628.052.0(-24.0)#8753.0(-25.0)#4,200
88.0763128.052.0(-24.0)#8853.0(-25.0)#4,234
89.0806028.052.0(-24.0)#8953.0(-25.0)#4,246
90.0885228.052.0(-24.0)#9053.0(-25.0)#4,271
91.0763028.052.0(-24.0)#9153.0(-25.0)#4,314
92.0806328.052.0(-24.0)#9253.0(-25.0)#4,356
93.0881629.052.0(-23.0)#9353.0(-24.0)#4,449
94.0760129.052.0(-23.0)#9453.0(-24.0)#4,453
95.0807729.052.0(-23.0)#9553.0(-24.0)#4,513
96.0883029.052.0(-23.0)#9653.0(-24.0)#4,521
97.0751229.052.0(-23.0)#9753.0(-24.0)#4,546
98.0832229.052.0(-23.0)#9853.0(-24.0)#4,553
99.0862829.052.0(-23.0)#9953.0(-24.0)#4,562
100.0783029.052.0(-23.0)#10053.0(-24.0)#4,569

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Jersey?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Jersey are:
#1
5.0
#2
5.0
#3
6.0
#4
8.0
#5
8.0
#6
8.0
#7
9.0
#8
10.0
#9
10.0
#10
10.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in New Jersey?
07657 has the Fewest Births per 1,000 Women Below Poverty Level in New Jersey with 5.0.
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.