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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in New Jersey

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

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

Zip Code Births / 1,000 Women vs State vs National
1.078632.050.0(-48.0)#148.0(-46.0)#31
2.082513.050.0(-47.0)#248.0(-45.0)#54
3.078303.050.0(-47.0)#348.0(-45.0)#58
4.074165.050.0(-45.0)#448.0(-43.0)#194
5.077468.050.0(-42.0)#548.0(-40.0)#417
6.085129.050.0(-41.0)#648.0(-39.0)#573
7.074569.050.0(-41.0)#748.0(-39.0)#576
8.082269.050.0(-41.0)#848.0(-39.0)#578
9.088299.050.0(-41.0)#948.0(-39.0)#616
10.0820510.050.0(-40.0)#1048.0(-38.0)#679
11.0751410.050.0(-40.0)#1148.0(-38.0)#689
12.0762610.050.0(-40.0)#1248.0(-38.0)#723
13.0855910.050.0(-40.0)#1348.0(-38.0)#756
14.0808611.050.0(-39.0)#1448.0(-37.0)#876
15.0808911.050.0(-39.0)#1548.0(-37.0)#919
16.0783811.050.0(-39.0)#1648.0(-37.0)#933
17.0766212.050.0(-38.0)#1748.0(-36.0)#1,076
18.0873012.050.0(-38.0)#1848.0(-36.0)#1,084
19.0750314.050.0(-36.0)#1948.0(-34.0)#1,374
20.0801015.050.0(-35.0)#2048.0(-33.0)#1,583
21.0792415.050.0(-35.0)#2148.0(-33.0)#1,608
22.0883215.050.0(-35.0)#2248.0(-33.0)#1,662
23.0855016.050.0(-34.0)#2348.0(-32.0)#1,762
24.0810816.050.0(-34.0)#2448.0(-32.0)#1,767
25.0706616.050.0(-34.0)#2548.0(-32.0)#1,777
26.0793616.050.0(-34.0)#2648.0(-32.0)#1,788
27.0832216.050.0(-34.0)#2748.0(-32.0)#1,793
28.0776016.050.0(-34.0)#2848.0(-32.0)#1,796
29.0776416.050.0(-34.0)#2948.0(-32.0)#1,801
30.0704616.050.0(-34.0)#3048.0(-32.0)#1,831
31.0775016.050.0(-34.0)#3148.0(-32.0)#1,856
32.0880416.050.0(-34.0)#3248.0(-32.0)#1,859
33.0764917.050.0(-33.0)#3348.0(-31.0)#1,989
34.0771117.050.0(-33.0)#3448.0(-31.0)#2,064
35.0854018.050.0(-32.0)#3548.0(-30.0)#2,115
36.0864818.050.0(-32.0)#3648.0(-30.0)#2,126
37.0863818.050.0(-32.0)#3748.0(-30.0)#2,146
38.0869118.050.0(-32.0)#3848.0(-30.0)#2,166
39.0788218.050.0(-32.0)#3948.0(-30.0)#2,175
40.0700918.050.0(-32.0)#4048.0(-30.0)#2,181
41.0800818.050.0(-32.0)#4148.0(-30.0)#2,208
42.0750518.050.0(-32.0)#4248.0(-30.0)#2,225
43.0763119.050.0(-31.0)#4348.0(-29.0)#2,343
44.0742419.050.0(-31.0)#4448.0(-29.0)#2,345
45.0809019.050.0(-31.0)#4548.0(-29.0)#2,409
46.0806020.050.0(-30.0)#4648.0(-28.0)#2,587
47.0771820.050.0(-30.0)#4748.0(-28.0)#2,675
48.0762720.050.0(-30.0)#4848.0(-28.0)#2,696
49.0774021.050.0(-29.0)#4948.0(-27.0)#2,826
50.0745021.050.0(-29.0)#5048.0(-27.0)#2,838
51.0805121.050.0(-29.0)#5148.0(-27.0)#2,897
52.0862821.050.0(-29.0)#5248.0(-27.0)#2,916
53.0831221.050.0(-29.0)#5348.0(-27.0)#2,922
54.0875821.050.0(-29.0)#5448.0(-27.0)#2,928
55.0872422.050.0(-28.0)#5548.0(-26.0)#3,076
56.0711022.050.0(-28.0)#5648.0(-26.0)#3,093
57.0709422.050.0(-28.0)#5748.0(-26.0)#3,115
58.0882422.050.0(-28.0)#5848.0(-26.0)#3,148
59.0746522.050.0(-28.0)#5948.0(-26.0)#3,197
60.0764722.050.0(-28.0)#6048.0(-26.0)#3,200
61.0875022.050.0(-28.0)#6148.0(-26.0)#3,223
62.0861823.050.0(-27.0)#6248.0(-25.0)#3,330
63.0833223.050.0(-27.0)#6348.0(-25.0)#3,334
64.0805723.050.0(-27.0)#6448.0(-25.0)#3,374
65.0767023.050.0(-27.0)#6548.0(-25.0)#3,396
66.0800423.050.0(-27.0)#6648.0(-25.0)#3,416
67.0776223.050.0(-27.0)#6748.0(-25.0)#3,429
68.0705823.050.0(-27.0)#6848.0(-25.0)#3,455
69.0760124.050.0(-26.0)#6948.0(-24.0)#3,583
70.0744224.050.0(-26.0)#7048.0(-24.0)#3,691
71.0782124.050.0(-26.0)#7148.0(-24.0)#3,706
72.0802224.050.0(-26.0)#7248.0(-24.0)#3,711
73.0809124.050.0(-26.0)#7348.0(-24.0)#3,735
74.0886724.050.0(-26.0)#7448.0(-24.0)#3,737
75.0800724.050.0(-26.0)#7548.0(-24.0)#3,742
76.0890225.050.0(-25.0)#7648.0(-23.0)#3,878
77.0885225.050.0(-25.0)#7748.0(-23.0)#3,954
78.0710225.050.0(-25.0)#7848.0(-23.0)#3,974
79.0704525.050.0(-25.0)#7948.0(-23.0)#3,998
80.0793025.050.0(-25.0)#8048.0(-23.0)#4,019
81.0704125.050.0(-25.0)#8148.0(-23.0)#4,023
82.0801925.050.0(-25.0)#8248.0(-23.0)#4,117
83.0808826.050.0(-24.0)#8348.0(-22.0)#4,205
84.0869027.050.0(-23.0)#8448.0(-21.0)#4,529
85.0834427.050.0(-23.0)#8548.0(-21.0)#4,636
86.0855427.050.0(-23.0)#8648.0(-21.0)#4,641
87.0707727.050.0(-23.0)#8748.0(-21.0)#4,665
88.0767528.050.0(-22.0)#8848.0(-20.0)#4,798
89.0795028.050.0(-22.0)#8948.0(-20.0)#4,818
90.0764328.050.0(-22.0)#9048.0(-20.0)#4,867
91.0784928.050.0(-22.0)#9148.0(-20.0)#4,884
92.0853028.050.0(-22.0)#9248.0(-20.0)#4,886
93.0772728.050.0(-22.0)#9348.0(-20.0)#4,902
94.0882628.050.0(-22.0)#9448.0(-20.0)#4,913
95.0785628.050.0(-22.0)#9548.0(-20.0)#4,928
96.0720629.050.0(-21.0)#9648.0(-19.0)#5,066
97.0780129.050.0(-21.0)#9748.0(-19.0)#5,084
98.0802829.050.0(-21.0)#9848.0(-19.0)#5,092
99.0750829.050.0(-21.0)#9948.0(-19.0)#5,095
100.0883029.050.0(-21.0)#10048.0(-19.0)#5,110

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Jersey?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New Jersey are:
#1
2.0
#2
3.0
#3
3.0
#4
5.0
#5
8.0
#6
9.0
#7
9.0
#8
9.0
#9
9.0
#10
10.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in New Jersey?
07863 has the Lowest Births per 1,000 Women in Labor Force in New Jersey with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of New Jersey?
Number Births per 1,000 Women in Labor Force in New Jersey is 50.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.