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

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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 York
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 13753 1.0 47.0 (-46.0)#1 48.0 (-47.0)#7
2. 13053 3.0 47.0 (-44.0)#2 48.0 (-45.0)#71
3. 10038 4.0 47.0 (-43.0)#3 48.0 (-44.0)#92
4. 13634 4.0 47.0 (-43.0)#4 48.0 (-44.0)#138
5. 14821 4.0 47.0 (-43.0)#5 48.0 (-44.0)#144
6. 12116 4.0 47.0 (-43.0)#6 48.0 (-44.0)#164
7. 14001 5.0 47.0 (-42.0)#7 48.0 (-43.0)#182
8. 13244 5.0 47.0 (-42.0)#8 48.0 (-43.0)#185
9. 14903 5.0 47.0 (-42.0)#9 48.0 (-43.0)#189
10. 12025 5.0 47.0 (-42.0)#10 48.0 (-43.0)#198
11. 14482 6.0 47.0 (-41.0)#11 48.0 (-42.0)#259
12. 12154 6.0 47.0 (-41.0)#12 48.0 (-42.0)#282
13. 13409 6.0 47.0 (-41.0)#13 48.0 (-42.0)#291
14. 11542 7.0 47.0 (-40.0)#14 48.0 (-41.0)#315
15. 11370 7.0 47.0 (-40.0)#15 48.0 (-41.0)#316
16. 13797 7.0 47.0 (-40.0)#16 48.0 (-41.0)#383
17. 11767 8.0 47.0 (-39.0)#17 48.0 (-40.0)#426
18. 11961 8.0 47.0 (-39.0)#18 48.0 (-40.0)#429
19. 10548 8.0 47.0 (-39.0)#19 48.0 (-40.0)#480
20. 10963 8.0 47.0 (-39.0)#20 48.0 (-40.0)#482
21. 12526 8.0 47.0 (-39.0)#21 48.0 (-40.0)#493
22. 13408 8.0 47.0 (-39.0)#22 48.0 (-40.0)#497
23. 12070 8.0 47.0 (-39.0)#23 48.0 (-40.0)#507
24. 12137 8.0 47.0 (-39.0)#24 48.0 (-40.0)#518
25. 11423 9.0 47.0 (-38.0)#25 48.0 (-39.0)#553
26. 12308 9.0 47.0 (-38.0)#26 48.0 (-39.0)#566
27. 10514 9.0 47.0 (-38.0)#27 48.0 (-39.0)#570
28. 14103 9.0 47.0 (-38.0)#28 48.0 (-39.0)#580
29. 12572 9.0 47.0 (-38.0)#29 48.0 (-39.0)#585
30. 14530 9.0 47.0 (-38.0)#30 48.0 (-39.0)#592
31. 12946 9.0 47.0 (-38.0)#31 48.0 (-39.0)#604
32. 12580 9.0 47.0 (-38.0)#32 48.0 (-39.0)#607
33. 11749 9.0 47.0 (-38.0)#33 48.0 (-39.0)#615
34. 13476 9.0 47.0 (-38.0)#34 48.0 (-39.0)#620
35. 14739 9.0 47.0 (-38.0)#35 48.0 (-39.0)#627
36. 13622 9.0 47.0 (-38.0)#36 48.0 (-39.0)#636
37. 13755 9.0 47.0 (-38.0)#37 48.0 (-39.0)#661
38. 12721 10.0 47.0 (-37.0)#38 48.0 (-38.0)#733
39. 14886 10.0 47.0 (-37.0)#39 48.0 (-38.0)#744
40. 12986 10.0 47.0 (-37.0)#40 48.0 (-38.0)#751
41. 13811 10.0 47.0 (-37.0)#41 48.0 (-38.0)#764
42. 14525 10.0 47.0 (-37.0)#42 48.0 (-38.0)#782
43. 14550 10.0 47.0 (-37.0)#43 48.0 (-38.0)#804
44. 14836 10.0 47.0 (-37.0)#44 48.0 (-38.0)#819
45. 13850 11.0 47.0 (-36.0)#45 48.0 (-37.0)#839
46. 11518 11.0 47.0 (-36.0)#46 48.0 (-37.0)#867
47. 12167 11.0 47.0 (-36.0)#47 48.0 (-37.0)#948
48. 13646 11.0 47.0 (-36.0)#48 48.0 (-37.0)#950
49. 10012 12.0 47.0 (-35.0)#49 48.0 (-36.0)#1,010
50. 11951 12.0 47.0 (-35.0)#50 48.0 (-36.0)#1,023
51. 12182 12.0 47.0 (-35.0)#51 48.0 (-36.0)#1,024
52. 12528 12.0 47.0 (-35.0)#52 48.0 (-36.0)#1,031
53. 12170 12.0 47.0 (-35.0)#53 48.0 (-36.0)#1,081
54. 13862 12.0 47.0 (-35.0)#54 48.0 (-36.0)#1,093
55. 14840 12.0 47.0 (-35.0)#55 48.0 (-36.0)#1,116
56. 12106 12.0 47.0 (-35.0)#56 48.0 (-36.0)#1,122
57. 13431 12.0 47.0 (-35.0)#57 48.0 (-36.0)#1,126
58. 13111 12.0 47.0 (-35.0)#58 48.0 (-36.0)#1,127
59. 10029 13.0 47.0 (-34.0)#59 48.0 (-35.0)#1,158
60. 10019 13.0 47.0 (-34.0)#60 48.0 (-35.0)#1,163
61. 12701 13.0 47.0 (-34.0)#61 48.0 (-35.0)#1,210
62. 14208 13.0 47.0 (-34.0)#62 48.0 (-35.0)#1,212
63. 12828 13.0 47.0 (-34.0)#63 48.0 (-35.0)#1,224
64. 13224 13.0 47.0 (-34.0)#64 48.0 (-35.0)#1,227
65. 10018 13.0 47.0 (-34.0)#65 48.0 (-35.0)#1,229
66. 10594 13.0 47.0 (-34.0)#66 48.0 (-35.0)#1,252
67. 12883 13.0 47.0 (-34.0)#67 48.0 (-35.0)#1,262
68. 10987 13.0 47.0 (-34.0)#68 48.0 (-35.0)#1,272
69. 10032 14.0 47.0 (-33.0)#69 48.0 (-34.0)#1,347
70. 11937 14.0 47.0 (-33.0)#70 48.0 (-34.0)#1,369
71. 10601 14.0 47.0 (-33.0)#71 48.0 (-34.0)#1,394
72. 13904 14.0 47.0 (-33.0)#72 48.0 (-34.0)#1,403
73. 12570 14.0 47.0 (-33.0)#73 48.0 (-34.0)#1,420
74. 11020 14.0 47.0 (-33.0)#74 48.0 (-34.0)#1,425
75. 14009 14.0 47.0 (-33.0)#75 48.0 (-34.0)#1,432
76. 12074 14.0 47.0 (-33.0)#76 48.0 (-34.0)#1,468
77. 14065 14.0 47.0 (-33.0)#77 48.0 (-34.0)#1,488
78. 12993 14.0 47.0 (-33.0)#78 48.0 (-34.0)#1,493
79. 11421 15.0 47.0 (-32.0)#79 48.0 (-33.0)#1,537
80. 13032 15.0 47.0 (-32.0)#80 48.0 (-33.0)#1,578
81. 12566 15.0 47.0 (-32.0)#81 48.0 (-33.0)#1,579
82. 14031 15.0 47.0 (-32.0)#82 48.0 (-33.0)#1,596
83. 11363 15.0 47.0 (-32.0)#83 48.0 (-33.0)#1,614
84. 12117 15.0 47.0 (-32.0)#84 48.0 (-33.0)#1,664
85. 14804 15.0 47.0 (-32.0)#85 48.0 (-33.0)#1,693
86. 13835 15.0 47.0 (-32.0)#86 48.0 (-33.0)#1,701
87. 14850 16.0 47.0 (-31.0)#87 48.0 (-32.0)#1,727
88. 14411 16.0 47.0 (-31.0)#88 48.0 (-32.0)#1,781
89. 10579 16.0 47.0 (-31.0)#89 48.0 (-32.0)#1,805
90. 12542 16.0 47.0 (-31.0)#90 48.0 (-32.0)#1,824
91. 12885 16.0 47.0 (-31.0)#91 48.0 (-32.0)#1,833
92. 14548 16.0 47.0 (-31.0)#92 48.0 (-32.0)#1,841
93. 10006 16.0 47.0 (-31.0)#93 48.0 (-32.0)#1,846
94. 12138 16.0 47.0 (-31.0)#94 48.0 (-32.0)#1,865
95. 14203 16.0 47.0 (-31.0)#95 48.0 (-32.0)#1,869
96. 14711 16.0 47.0 (-31.0)#96 48.0 (-32.0)#1,875
97. 12022 16.0 47.0 (-31.0)#97 48.0 (-32.0)#1,898
98. 11354 17.0 47.0 (-30.0)#98 48.0 (-31.0)#1,925
99. 11429 17.0 47.0 (-30.0)#99 48.0 (-31.0)#1,942
100. 14901 17.0 47.0 (-30.0)#100 48.0 (-31.0)#1,966

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New York?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in New York are:
#1
1.0
#2
3.0
#3
4.0
#4
4.0
#5
4.0
#6
4.0
#7
5.0
#8
5.0
#9
5.0
#10
5.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in New York?
13753 has the Lowest Births per 1,000 Women in Labor Force in New York with 1.0.
What is the Number Births per 1,000 Women in Labor Force in the State of New York?
Number Births per 1,000 Women in Labor Force in New York is 47.0.
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.