Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York

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Highest 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 York
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York

Zip Code Births / 1,000 Women vs State vs National
1. 12769 1,000.0 50.0 (+950)#1 53.0 (+947)#9
2. 12998 1,000.0 50.0 (+950)#2 53.0 (+947)#13
3. 12483 1,000.0 50.0 (+950)#3 53.0 (+947)#49
4. 13643 1,000.0 50.0 (+950)#4 53.0 (+947)#52
5. 12161 1,000.0 50.0 (+950)#5 53.0 (+947)#54
6. 12742 724.0 50.0 (+674)#6 53.0 (+671)#82
7. 12512 667.0 50.0 (+617)#7 53.0 (+614)#101
8. 13472 656.0 50.0 (+606)#8 53.0 (+603)#107
9. 12420 634.0 50.0 (+584)#9 53.0 (+581)#114
10. 14026 614.0 50.0 (+564)#10 53.0 (+561)#125
11. 13786 609.0 50.0 (+559)#11 53.0 (+556)#128
12. 12952 609.0 50.0 (+559)#12 53.0 (+556)#129
13. 13621 591.0 50.0 (+541)#13 53.0 (+538)#133
14. 12517 553.0 50.0 (+503)#14 53.0 (+500)#145
15. 12922 500.0 50.0 (+450)#15 53.0 (+447)#178
16. 12460 478.0 50.0 (+428)#16 53.0 (+425)#192
17. 12960 474.0 50.0 (+424)#17 53.0 (+421)#193
18. 14480 438.0 50.0 (+388)#18 53.0 (+385)#225
19. 12036 418.0 50.0 (+368)#19 53.0 (+365)#239
20. 13436 400.0 50.0 (+350)#20 53.0 (+347)#261
21. 14478 385.0 50.0 (+335)#21 53.0 (+332)#278
22. 12989 378.0 50.0 (+328)#22 53.0 (+325)#287
23. 13832 374.0 50.0 (+324)#23 53.0 (+321)#299
24. 13756 344.0 50.0 (+294)#24 53.0 (+291)#349
25. 12469 341.0 50.0 (+291)#25 53.0 (+288)#354
26. 12751 335.0 50.0 (+285)#26 53.0 (+282)#364
27. 12139 333.0 50.0 (+283)#27 53.0 (+280)#372
28. 12160 331.0 50.0 (+281)#28 53.0 (+278)#390
29. 14614 317.0 50.0 (+267)#29 53.0 (+264)#405
30. 13864 300.0 50.0 (+250)#30 53.0 (+247)#450
31. 12975 300.0 50.0 (+250)#31 53.0 (+247)#455
32. 11430 299.0 50.0 (+249)#32 53.0 (+246)#460
33. 12190 294.0 50.0 (+244)#33 53.0 (+241)#473
34. 12932 290.0 50.0 (+240)#34 53.0 (+237)#486
35. 13020 286.0 50.0 (+236)#35 53.0 (+233)#510
36. 12732 274.0 50.0 (+224)#36 53.0 (+221)#548
37. 13455 273.0 50.0 (+223)#37 53.0 (+220)#555
38. 13355 265.0 50.0 (+215)#38 53.0 (+212)#585
39. 14864 262.0 50.0 (+212)#39 53.0 (+209)#599
40. 12485 261.0 50.0 (+211)#40 53.0 (+208)#602
41. 13687 256.0 50.0 (+206)#41 53.0 (+203)#629
42. 12852 250.0 50.0 (+200)#42 53.0 (+197)#650
43. 12165 250.0 50.0 (+200)#43 53.0 (+197)#657
44. 12729 245.0 50.0 (+195)#44 53.0 (+192)#689
45. 13684 245.0 50.0 (+195)#45 53.0 (+192)#691
46. 13153 243.0 50.0 (+193)#46 53.0 (+190)#701
47. 13488 241.0 50.0 (+191)#47 53.0 (+188)#710
48. 12726 240.0 50.0 (+190)#48 53.0 (+187)#713
49. 13670 231.0 50.0 (+181)#49 53.0 (+178)#766
50. 12978 229.0 50.0 (+179)#50 53.0 (+176)#780
51. 11804 226.0 50.0 (+176)#51 53.0 (+173)#796
52. 13328 224.0 50.0 (+174)#52 53.0 (+171)#809
53. 14069 221.0 50.0 (+171)#53 53.0 (+168)#837
54. 13655 210.0 50.0 (+160)#54 53.0 (+157)#884
55. 14555 210.0 50.0 (+160)#55 53.0 (+157)#886
56. 13838 208.0 50.0 (+158)#56 53.0 (+155)#896
57. 12151 208.0 50.0 (+158)#57 53.0 (+155)#902
58. 12740 203.0 50.0 (+153)#58 53.0 (+150)#944
59. 10952 200.0 50.0 (+150)#59 53.0 (+147)#972
60. 13103 200.0 50.0 (+150)#60 53.0 (+147)#983
61. 13335 199.0 50.0 (+149)#61 53.0 (+146)#1,001
62. 13694 199.0 50.0 (+149)#62 53.0 (+146)#1,002
63. 13363 198.0 50.0 (+148)#63 53.0 (+145)#1,006
64. 13603 197.0 50.0 (+147)#64 53.0 (+144)#1,012
65. 14591 193.0 50.0 (+143)#65 53.0 (+140)#1,066
66. 12125 187.0 50.0 (+137)#66 53.0 (+134)#1,136
67. 12824 186.0 50.0 (+136)#67 53.0 (+133)#1,151
68. 14842 185.0 50.0 (+135)#68 53.0 (+132)#1,165
69. 13144 182.0 50.0 (+132)#69 53.0 (+129)#1,192
70. 12409 182.0 50.0 (+132)#70 53.0 (+129)#1,194
71. 13633 180.0 50.0 (+130)#71 53.0 (+127)#1,221
72. 11980 178.0 50.0 (+128)#72 53.0 (+125)#1,241
73. 11934 177.0 50.0 (+127)#73 53.0 (+124)#1,248
74. 12565 177.0 50.0 (+127)#74 53.0 (+124)#1,254
75. 13361 177.0 50.0 (+127)#75 53.0 (+124)#1,260
76. 13334 176.0 50.0 (+126)#76 53.0 (+123)#1,268
77. 13450 176.0 50.0 (+126)#77 53.0 (+123)#1,273
78. 13679 175.0 50.0 (+125)#78 53.0 (+122)#1,284
79. 13628 175.0 50.0 (+125)#79 53.0 (+122)#1,288
80. 11932 174.0 50.0 (+124)#80 53.0 (+121)#1,301
81. 10004 171.0 50.0 (+121)#81 53.0 (+118)#1,345
82. 12873 171.0 50.0 (+121)#82 53.0 (+118)#1,355
83. 14726 170.0 50.0 (+120)#83 53.0 (+117)#1,365
84. 14723 170.0 50.0 (+120)#84 53.0 (+117)#1,370
85. 12779 169.0 50.0 (+119)#85 53.0 (+116)#1,380
86. 12765 169.0 50.0 (+119)#86 53.0 (+116)#1,386
87. 11952 166.0 50.0 (+116)#87 53.0 (+113)#1,459
88. 14040 166.0 50.0 (+116)#88 53.0 (+113)#1,464
89. 14860 162.0 50.0 (+112)#89 53.0 (+109)#1,525
90. 14416 161.0 50.0 (+111)#90 53.0 (+108)#1,531
91. 14716 160.0 50.0 (+110)#91 53.0 (+107)#1,549
92. 14435 160.0 50.0 (+110)#92 53.0 (+107)#1,550
93. 13796 160.0 50.0 (+110)#93 53.0 (+107)#1,556
94. 12183 159.0 50.0 (+109)#94 53.0 (+106)#1,569
95. 14506 159.0 50.0 (+109)#95 53.0 (+106)#1,578
96. 12581 157.0 50.0 (+107)#96 53.0 (+104)#1,614
97. 14033 157.0 50.0 (+107)#97 53.0 (+104)#1,618
98. 12985 156.0 50.0 (+106)#98 53.0 (+103)#1,635
99. 12531 153.0 50.0 (+103)#99 53.0 (+100.0)#1,683
100. 12838 153.0 50.0 (+103)#100 53.0 (+100.0)#1,690

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
1,000.0
#5
1,000.0
#6
724.0
#7
667.0
#8
656.0
#9
634.0
#10
614.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in New York?
12769 has the Most Births per 1,000 Women Below Poverty Level in New York with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of New York?
Number of Births per 1,000 Women Below Poverty Level in New York is 50.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.