Zip Codes with the Most Births per 1,000 Women in Labor Force in New Jersey

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Highest 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 Jersey
Compare Zip Codes
Comparison Subject

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

0.0
400.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in New Jersey Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in New Jersey

Zip Code Births / 1,000 Women vs State vs National
1.08247388.050.0(+338)#148.0(+340)#278
2.08352340.050.0(+290)#248.0(+292)#366
3.07935271.050.0(+221)#348.0(+223)#574
4.07702221.050.0(+171)#448.0(+173)#828
5.08701211.050.0(+161)#548.0(+163)#902
6.07422188.050.0(+138)#648.0(+140)#1,110
7.08836175.050.0(+125)#748.0(+127)#1,254
8.07068159.050.0(+109)#848.0(+111)#1,509
9.08210158.050.0(+108)#948.0(+110)#1,526
10.07092157.050.0(+107)#1048.0(+109)#1,551
11.08314156.050.0(+106)#1148.0(+108)#1,580
12.08533154.050.0(+104)#1248.0(+106)#1,604
13.07458147.050.0(+97.0)#1348.0(+99.0)#1,733
14.07980145.050.0(+95.0)#1448.0(+97.0)#1,783
15.07832144.050.0(+94.0)#1548.0(+96.0)#1,798
16.08882142.050.0(+92.0)#1648.0(+94.0)#1,858
17.07031141.050.0(+91.0)#1748.0(+93.0)#1,876
18.08802139.050.0(+89.0)#1848.0(+91.0)#1,927
19.08027137.050.0(+87.0)#1948.0(+89.0)#1,988
20.08738136.050.0(+86.0)#2048.0(+88.0)#2,022
21.07004135.050.0(+85.0)#2148.0(+87.0)#2,042
22.08511130.050.0(+80.0)#2248.0(+82.0)#2,190
23.07064124.050.0(+74.0)#2348.0(+76.0)#2,392
24.07027123.050.0(+73.0)#2448.0(+75.0)#2,421
25.07945115.050.0(+65.0)#2548.0(+67.0)#2,713
26.08102115.050.0(+65.0)#2648.0(+67.0)#2,715
27.08850115.050.0(+65.0)#2748.0(+67.0)#2,716
28.07885113.050.0(+63.0)#2848.0(+65.0)#2,795
29.08558113.050.0(+63.0)#2948.0(+65.0)#2,799
30.07738111.050.0(+61.0)#3048.0(+63.0)#2,880
31.07440111.050.0(+61.0)#3148.0(+63.0)#2,884
32.08201110.050.0(+60.0)#3248.0(+62.0)#2,950
33.07827109.050.0(+59.0)#3348.0(+61.0)#3,010
34.08609108.050.0(+58.0)#3448.0(+60.0)#3,048
35.08092105.050.0(+55.0)#3548.0(+57.0)#3,212
36.07876103.050.0(+53.0)#3648.0(+55.0)#3,318
37.07001102.050.0(+52.0)#3748.0(+54.0)#3,372
38.07006101.050.0(+51.0)#3848.0(+53.0)#3,429
39.0710699.050.0(+49.0)#3948.0(+51.0)#3,552
40.0807898.050.0(+48.0)#4048.0(+50.0)#3,637
41.0822198.050.0(+48.0)#4148.0(+50.0)#3,640
42.0806797.050.0(+47.0)#4248.0(+49.0)#3,735
43.0840195.050.0(+45.0)#4348.0(+47.0)#3,825
44.0804894.050.0(+44.0)#4448.0(+46.0)#3,899
45.0785794.050.0(+44.0)#4548.0(+46.0)#3,918
46.0708894.050.0(+44.0)#4648.0(+46.0)#3,921
47.0700893.050.0(+43.0)#4748.0(+45.0)#3,963
48.0782892.050.0(+42.0)#4848.0(+44.0)#4,050
49.0882390.050.0(+40.0)#4948.0(+42.0)#4,232
50.0809389.050.0(+39.0)#5048.0(+41.0)#4,321
51.0792189.050.0(+39.0)#5148.0(+41.0)#4,330
52.0707289.050.0(+39.0)#5248.0(+41.0)#4,335
53.0873288.050.0(+38.0)#5348.0(+40.0)#4,460
54.0886387.050.0(+37.0)#5448.0(+39.0)#4,516
55.0834186.050.0(+36.0)#5548.0(+38.0)#4,655
56.0823485.050.0(+35.0)#5648.0(+37.0)#4,690
57.0884885.050.0(+35.0)#5748.0(+37.0)#4,734
58.0771284.050.0(+34.0)#5848.0(+36.0)#4,791
59.0833084.050.0(+34.0)#5948.0(+36.0)#4,796
60.0785084.050.0(+34.0)#6048.0(+36.0)#4,831
61.0773984.050.0(+34.0)#6148.0(+36.0)#4,835
62.0710483.050.0(+33.0)#6248.0(+35.0)#4,885
63.0801683.050.0(+33.0)#6348.0(+35.0)#4,890
64.0852782.050.0(+32.0)#6448.0(+34.0)#5,011
65.0706582.050.0(+32.0)#6548.0(+34.0)#5,014
66.0873182.050.0(+32.0)#6648.0(+34.0)#5,017
67.0764682.050.0(+32.0)#6748.0(+34.0)#5,023
68.0701282.050.0(+32.0)#6848.0(+34.0)#5,028
69.0707882.050.0(+32.0)#6948.0(+34.0)#5,030
70.0807082.050.0(+32.0)#7048.0(+34.0)#5,039
71.0806682.050.0(+32.0)#7148.0(+34.0)#5,052
72.0743282.050.0(+32.0)#7248.0(+34.0)#5,053
73.0822382.050.0(+32.0)#7348.0(+34.0)#5,066
74.0780382.050.0(+32.0)#7448.0(+34.0)#5,070
75.0730281.050.0(+31.0)#7548.0(+33.0)#5,126
76.0766681.050.0(+31.0)#7648.0(+33.0)#5,131
77.0800981.050.0(+31.0)#7748.0(+33.0)#5,169
78.0806880.050.0(+30.0)#7848.0(+32.0)#5,289
79.0831180.050.0(+30.0)#7948.0(+32.0)#5,330
80.0752279.050.0(+29.0)#8048.0(+31.0)#5,379
81.0740779.050.0(+29.0)#8148.0(+31.0)#5,381
82.0873678.050.0(+28.0)#8248.0(+30.0)#5,514
83.0840678.050.0(+28.0)#8348.0(+30.0)#5,525
84.0831978.050.0(+28.0)#8448.0(+30.0)#5,585
85.0808577.050.0(+27.0)#8548.0(+29.0)#5,625
86.0883777.050.0(+27.0)#8648.0(+29.0)#5,628
87.0775176.050.0(+26.0)#8748.0(+28.0)#5,784
88.0767676.050.0(+26.0)#8848.0(+28.0)#5,806
89.0803074.050.0(+24.0)#8948.0(+26.0)#6,055
90.0750473.050.0(+23.0)#9048.0(+25.0)#6,213
91.0701672.050.0(+22.0)#9148.0(+24.0)#6,360
92.0803172.050.0(+22.0)#9248.0(+24.0)#6,387
93.0702471.050.0(+21.0)#9348.0(+23.0)#6,495
94.0875971.050.0(+21.0)#9448.0(+23.0)#6,503
95.0887971.050.0(+21.0)#9548.0(+23.0)#6,519
96.0786671.050.0(+21.0)#9648.0(+23.0)#6,520
97.0706371.050.0(+21.0)#9748.0(+23.0)#6,541
98.0785371.050.0(+21.0)#9848.0(+23.0)#6,549
99.0760371.050.0(+21.0)#9948.0(+23.0)#6,565
100.0820470.050.0(+20.0)#10048.0(+22.0)#6,708

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in New Jersey?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in New Jersey are:
#1
388.0
#2
340.0
#3
271.0
#4
221.0
#5
211.0
#6
188.0
#7
175.0
#8
159.0
#9
158.0
#10
157.0
What zip code has the Most Births per 1,000 Women in Labor Force in New Jersey?
08247 has the Most Births per 1,000 Women in Labor Force in New Jersey with 388.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of New Jersey?
Number of Births per 1,000 Women in Labor Force in New Jersey is 50.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.