Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Jersey [ 101 - 200 ]

RELATED REPORTS & OPTIONS

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

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
101.0840229.052.0(-23.0)#10153.0(-24.0)#4,597
102.0854229.052.0(-23.0)#10253.0(-24.0)#4,635
103.0748030.052.0(-22.0)#10353.0(-23.0)#4,815
104.0809030.052.0(-22.0)#10453.0(-23.0)#4,838
105.0804930.052.0(-22.0)#10553.0(-23.0)#4,875
106.0882530.052.0(-22.0)#10653.0(-23.0)#4,884
107.0885731.052.0(-21.0)#10753.0(-22.0)#5,030
108.0852031.052.0(-21.0)#10853.0(-22.0)#5,058
109.0850531.052.0(-21.0)#10953.0(-22.0)#5,108
110.0700531.052.0(-21.0)#11053.0(-22.0)#5,126
111.0703531.052.0(-21.0)#11153.0(-22.0)#5,144
112.0802931.052.0(-21.0)#11253.0(-22.0)#5,176
113.0855931.052.0(-21.0)#11353.0(-22.0)#5,192
114.0882032.052.0(-20.0)#11453.0(-21.0)#5,338
115.0864832.052.0(-20.0)#11553.0(-21.0)#5,356
116.0708632.052.0(-20.0)#11653.0(-21.0)#5,407
117.0782332.052.0(-20.0)#11753.0(-21.0)#5,453
118.0800832.052.0(-20.0)#11853.0(-21.0)#5,456
119.0850132.052.0(-20.0)#11953.0(-21.0)#5,464
120.0764832.052.0(-20.0)#12053.0(-21.0)#5,474
121.0792732.052.0(-20.0)#12153.0(-21.0)#5,492
122.0772032.052.0(-20.0)#12253.0(-21.0)#5,493
123.0875032.052.0(-20.0)#12353.0(-21.0)#5,501
124.0808133.052.0(-19.0)#12453.0(-20.0)#5,610
125.0890233.052.0(-19.0)#12553.0(-20.0)#5,625
126.0701333.052.0(-19.0)#12653.0(-20.0)#5,661
127.0887633.052.0(-19.0)#12753.0(-20.0)#5,688
128.0702033.052.0(-19.0)#12853.0(-20.0)#5,720
129.0810733.052.0(-19.0)#12953.0(-20.0)#5,728
130.0710233.052.0(-19.0)#13053.0(-20.0)#5,729
131.0751333.052.0(-19.0)#13153.0(-20.0)#5,751
132.0760533.052.0(-19.0)#13253.0(-20.0)#5,760
133.0861034.052.0(-18.0)#13353.0(-19.0)#5,967
134.0741934.052.0(-18.0)#13453.0(-19.0)#6,068
135.0886934.052.0(-18.0)#13553.0(-19.0)#6,081
136.0775834.052.0(-18.0)#13653.0(-19.0)#6,124
137.0885435.052.0(-17.0)#13753.0(-18.0)#6,246
138.0805435.052.0(-17.0)#13853.0(-18.0)#6,264
139.0750835.052.0(-17.0)#13953.0(-18.0)#6,333
140.0744635.052.0(-17.0)#14053.0(-18.0)#6,375
141.0801935.052.0(-17.0)#14153.0(-18.0)#6,516
142.0875336.052.0(-16.0)#14253.0(-17.0)#6,542
143.0883136.052.0(-16.0)#14353.0(-17.0)#6,547
144.0805536.052.0(-16.0)#14453.0(-17.0)#6,609
145.0750636.052.0(-16.0)#14553.0(-17.0)#6,654
146.0773436.052.0(-16.0)#14653.0(-17.0)#6,695
147.0745236.052.0(-16.0)#14753.0(-17.0)#6,705
148.0764336.052.0(-16.0)#14853.0(-17.0)#6,714
149.0771636.052.0(-16.0)#14953.0(-17.0)#6,737
150.0775536.052.0(-16.0)#15053.0(-17.0)#6,761
151.0851036.052.0(-16.0)#15153.0(-17.0)#6,772
152.0747037.052.0(-15.0)#15253.0(-16.0)#6,921
153.0705437.052.0(-15.0)#15353.0(-16.0)#6,957
154.0762137.052.0(-15.0)#15453.0(-16.0)#6,969
155.0742437.052.0(-15.0)#15553.0(-16.0)#6,975
156.0805237.052.0(-15.0)#15653.0(-16.0)#7,006
157.0748137.052.0(-15.0)#15753.0(-16.0)#7,028
158.0705937.052.0(-15.0)#15853.0(-16.0)#7,031
159.0784937.052.0(-15.0)#15953.0(-16.0)#7,062
160.0705238.052.0(-14.0)#16053.0(-15.0)#7,228
161.0704238.052.0(-14.0)#16153.0(-15.0)#7,298
162.0786038.052.0(-14.0)#16253.0(-15.0)#7,301
163.0795038.052.0(-14.0)#16353.0(-15.0)#7,322
164.0836138.052.0(-14.0)#16453.0(-15.0)#7,333
165.0821538.052.0(-14.0)#16553.0(-15.0)#7,363
166.0760438.052.0(-14.0)#16653.0(-15.0)#7,370
167.0783638.052.0(-14.0)#16753.0(-15.0)#7,371
168.0764238.052.0(-14.0)#16853.0(-15.0)#7,387
169.0707538.052.0(-14.0)#16953.0(-15.0)#7,388
170.0772839.052.0(-13.0)#17053.0(-14.0)#7,594
171.0809639.052.0(-13.0)#17153.0(-14.0)#7,641
172.0710839.052.0(-13.0)#17253.0(-14.0)#7,666
173.0707639.052.0(-13.0)#17353.0(-14.0)#7,677
174.0801539.052.0(-13.0)#17453.0(-14.0)#7,700
175.0851239.052.0(-13.0)#17553.0(-14.0)#7,751
176.0762439.052.0(-13.0)#17653.0(-14.0)#7,776
177.0742139.052.0(-13.0)#17753.0(-14.0)#7,791
178.0808439.052.0(-13.0)#17853.0(-14.0)#7,792
179.0834539.052.0(-13.0)#17953.0(-14.0)#7,905
180.0792040.052.0(-12.0)#18053.0(-13.0)#8,017
181.0810340.052.0(-12.0)#18153.0(-13.0)#8,090
182.0806540.052.0(-12.0)#18253.0(-13.0)#8,126
183.0851840.052.0(-12.0)#18353.0(-13.0)#8,143
184.0809740.052.0(-12.0)#18453.0(-13.0)#8,177
185.0743540.052.0(-12.0)#18553.0(-13.0)#8,199
186.0855340.052.0(-12.0)#18653.0(-13.0)#8,252
187.0800341.052.0(-11.0)#18753.0(-12.0)#8,316
188.0886541.052.0(-11.0)#18853.0(-12.0)#8,320
189.0764441.052.0(-11.0)#18953.0(-12.0)#8,348
190.0790141.052.0(-11.0)#19053.0(-12.0)#8,356
191.0853641.052.0(-11.0)#19153.0(-12.0)#8,371
192.0707041.052.0(-11.0)#19253.0(-12.0)#8,382
193.0720441.052.0(-11.0)#19353.0(-12.0)#8,409
194.0862941.052.0(-11.0)#19453.0(-12.0)#8,415
195.0784341.052.0(-11.0)#19553.0(-12.0)#8,428
196.0744441.052.0(-11.0)#19653.0(-12.0)#8,431
197.0822541.052.0(-11.0)#19753.0(-12.0)#8,443
198.0851441.052.0(-11.0)#19853.0(-12.0)#8,463
199.0874141.052.0(-11.0)#19953.0(-12.0)#8,524
200.0804342.052.0(-10.00)#20053.0(-11.0)#8,685