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

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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 York
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in New York Map

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

Zip Code Births / 1,000 Women vs State vs National
1.130201,000.047.0(+953)#148.0(+952)#38
2.134551,000.047.0(+953)#248.0(+952)#46
3.121611,000.047.0(+953)#348.0(+952)#49
4.12742808.047.0(+761)#448.0(+760)#62
5.12952765.047.0(+718)#548.0(+717)#65
6.12960714.047.0(+667)#648.0(+666)#74
7.12512667.047.0(+620)#748.0(+619)#86
8.13621662.047.0(+615)#848.0(+614)#94
9.12420634.047.0(+587)#948.0(+586)#104
10.14026614.047.0(+567)#1048.0(+566)#113
11.13786609.047.0(+562)#1148.0(+561)#114
12.14069583.047.0(+536)#1248.0(+535)#125
13.12517553.047.0(+506)#1348.0(+505)#131
14.12460478.047.0(+431)#1448.0(+430)#189
15.12469476.047.0(+429)#1548.0(+428)#191
16.14480464.047.0(+417)#1648.0(+416)#199
17.12751461.047.0(+414)#1748.0(+413)#206
18.12989407.047.0(+360)#1848.0(+359)#257
19.13436400.047.0(+353)#1948.0(+352)#262
20.12932370.047.0(+323)#2048.0(+322)#310
21.12160365.047.0(+318)#2148.0(+317)#317
22.13670345.047.0(+298)#2248.0(+297)#355
23.12565341.047.0(+294)#2348.0(+293)#363
24.12139333.047.0(+286)#2448.0(+285)#383
25.14555322.047.0(+275)#2548.0(+274)#411
26.14614317.047.0(+270)#2648.0(+269)#422
27.13470313.047.0(+266)#2748.0(+265)#433
28.14864312.047.0(+265)#2848.0(+264)#440
29.13838305.047.0(+258)#2948.0(+257)#454
30.13488304.047.0(+257)#3048.0(+256)#460
31.11804301.047.0(+254)#3148.0(+253)#464
32.12975300.047.0(+253)#3248.0(+252)#470
33.13687296.047.0(+249)#3348.0(+248)#481
34.14842289.047.0(+242)#3448.0(+241)#502
35.13832289.047.0(+242)#3548.0(+241)#503
36.13756286.047.0(+239)#3648.0(+238)#513
37.12726281.047.0(+234)#3748.0(+233)#530
38.12873281.047.0(+234)#3848.0(+233)#531
39.13153277.047.0(+230)#3948.0(+229)#547
40.12732274.047.0(+227)#4048.0(+226)#561
41.14860266.047.0(+219)#4148.0(+218)#588
42.12729263.047.0(+216)#4248.0(+215)#600
43.13694261.047.0(+214)#4348.0(+213)#610
44.12485261.047.0(+214)#4448.0(+213)#613
45.12768256.047.0(+209)#4548.0(+208)#629
46.13103250.047.0(+203)#4648.0(+202)#661
47.12165250.047.0(+203)#4748.0(+202)#664
48.12491239.047.0(+192)#4848.0(+191)#716
49.10952229.047.0(+182)#4948.0(+181)#773
50.12978229.047.0(+182)#5048.0(+181)#777
51.11932228.047.0(+181)#5148.0(+180)#781
52.11934224.047.0(+177)#5248.0(+176)#804
53.12531223.047.0(+176)#5348.0(+175)#809
54.14041222.047.0(+175)#5448.0(+174)#826
55.14040219.047.0(+172)#5548.0(+171)#840
56.14506219.047.0(+172)#5648.0(+171)#843
57.13144214.047.0(+167)#5748.0(+166)#882
58.13334213.047.0(+166)#5848.0(+165)#891
59.12765212.047.0(+165)#5948.0(+164)#898
60.12125211.047.0(+164)#6048.0(+163)#909
61.14723209.047.0(+162)#6148.0(+161)#919
62.12457207.047.0(+160)#6248.0(+159)#933
63.13833206.047.0(+159)#6348.0(+158)#939
64.13328205.047.0(+158)#6448.0(+157)#953
65.12824198.047.0(+151)#6548.0(+150)#1,028
66.11980196.047.0(+149)#6648.0(+148)#1,043
67.10004194.047.0(+147)#6748.0(+146)#1,067
68.12838194.047.0(+147)#6848.0(+146)#1,074
69.13040187.047.0(+140)#6948.0(+139)#1,125
70.14422186.047.0(+139)#7048.0(+138)#1,134
71.14871185.047.0(+138)#7148.0(+137)#1,142
72.13485185.047.0(+138)#7248.0(+137)#1,147
73.14435184.047.0(+137)#7348.0(+136)#1,158
74.13808184.047.0(+137)#7448.0(+136)#1,161
75.14037180.047.0(+133)#7548.0(+132)#1,210
76.13368179.047.0(+132)#7648.0(+131)#1,215
77.12190179.047.0(+132)#7748.0(+131)#1,217
78.13839178.047.0(+131)#7848.0(+130)#1,228
79.14591177.047.0(+130)#7948.0(+129)#1,233
80.11952176.047.0(+129)#8048.0(+128)#1,238
81.13450176.047.0(+129)#8148.0(+128)#1,248
82.14033172.047.0(+125)#8248.0(+124)#1,301
83.12067167.047.0(+120)#8348.0(+119)#1,379
84.12746167.047.0(+120)#8448.0(+119)#1,385
85.12435167.047.0(+120)#8548.0(+119)#1,400
86.10560166.047.0(+119)#8648.0(+118)#1,409
87.12066163.047.0(+116)#8748.0(+115)#1,445
88.12515163.047.0(+116)#8848.0(+115)#1,446
89.12409161.047.0(+114)#8948.0(+113)#1,480
90.12464160.047.0(+113)#9048.0(+112)#1,498
91.11968158.047.0(+111)#9148.0(+110)#1,527
92.12913156.047.0(+109)#9248.0(+108)#1,576
93.13483156.047.0(+109)#9348.0(+108)#1,582
94.13101153.047.0(+106)#9448.0(+105)#1,626
95.13796152.047.0(+105)#9548.0(+104)#1,649
96.14716151.047.0(+104)#9648.0(+103)#1,658
97.14416150.047.0(+103)#9748.0(+102)#1,675
98.13655149.047.0(+102)#9848.0(+101)#1,697
99.11109148.047.0(+101)#9948.0(+100.0)#1,711
100.12853148.047.0(+101)#10048.0(+100.0)#1,720

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in New York?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in New York are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
808.0
#5
765.0
#6
714.0
#7
667.0
#8
662.0
#9
634.0
#10
614.0
What zip code has the Most Births per 1,000 Women in Labor Force in New York?
13020 has the Most Births per 1,000 Women in Labor Force in New York with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of New York?
Number of Births per 1,000 Women in Labor Force in New York is 47.0.
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.