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

RELATED REPORTS & OPTIONS

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

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
101.12849153.050.0(+103)#10153.0(+100.0)#1,693
102.13060150.050.0(+100.0)#10253.0(+97.0)#1,743
103.14422149.050.0(+99.0)#10353.0(+96.0)#1,770
104.13493147.050.0(+97.0)#10453.0(+94.0)#1,811
105.10950144.050.0(+94.0)#10553.0(+91.0)#1,879
106.13620144.050.0(+94.0)#10653.0(+91.0)#1,889
107.14711144.050.0(+94.0)#10753.0(+91.0)#1,890
108.11109143.050.0(+93.0)#10853.0(+90.0)#1,906
109.12844143.050.0(+93.0)#10953.0(+90.0)#1,931
110.12855143.050.0(+93.0)#11053.0(+90.0)#1,932
111.11548142.050.0(+92.0)#11153.0(+89.0)#1,952
112.13833140.050.0(+90.0)#11253.0(+87.0)#1,988
113.12064140.050.0(+90.0)#11353.0(+87.0)#2,007
114.14464139.050.0(+89.0)#11453.0(+86.0)#2,017
115.10560139.050.0(+89.0)#11553.0(+86.0)#2,020
116.13040139.050.0(+89.0)#11653.0(+86.0)#2,027
117.12491139.050.0(+89.0)#11753.0(+86.0)#2,029
118.12066139.050.0(+89.0)#11853.0(+86.0)#2,031
119.13348139.050.0(+89.0)#11953.0(+86.0)#2,033
120.13681139.050.0(+89.0)#12053.0(+86.0)#2,039
121.14571138.050.0(+88.0)#12153.0(+85.0)#2,065
122.14041138.050.0(+88.0)#12253.0(+85.0)#2,081
123.13315137.050.0(+87.0)#12353.0(+84.0)#2,097
124.13839136.050.0(+86.0)#12453.0(+83.0)#2,131
125.12457136.050.0(+86.0)#12553.0(+83.0)#2,132
126.12768136.050.0(+86.0)#12653.0(+83.0)#2,134
127.14858135.050.0(+85.0)#12753.0(+82.0)#2,161
128.13808135.050.0(+85.0)#12853.0(+82.0)#2,163
129.12786135.050.0(+85.0)#12953.0(+82.0)#2,172
130.14717135.050.0(+85.0)#13053.0(+82.0)#2,174
131.13490133.050.0(+83.0)#13153.0(+80.0)#2,235
132.13470133.050.0(+83.0)#13253.0(+80.0)#2,239
133.12176133.050.0(+83.0)#13353.0(+80.0)#2,244
134.13656132.050.0(+82.0)#13453.0(+79.0)#2,261
135.14775129.050.0(+79.0)#13553.0(+76.0)#2,363
136.12466129.050.0(+79.0)#13653.0(+76.0)#2,366
137.14613128.050.0(+78.0)#13753.0(+75.0)#2,387
138.14619128.050.0(+78.0)#13853.0(+75.0)#2,388
139.13368128.050.0(+78.0)#13953.0(+75.0)#2,410
140.10969128.050.0(+78.0)#14053.0(+75.0)#2,412
141.13346127.050.0(+77.0)#14153.0(+74.0)#2,435
142.13143127.050.0(+77.0)#14253.0(+74.0)#2,443
143.13459127.050.0(+77.0)#14353.0(+74.0)#2,445
144.12185127.050.0(+77.0)#14453.0(+74.0)#2,451
145.13744127.050.0(+77.0)#14553.0(+74.0)#2,454
146.12464127.050.0(+77.0)#14653.0(+74.0)#2,455
147.12032127.050.0(+77.0)#14753.0(+74.0)#2,459
148.10516124.050.0(+74.0)#14853.0(+71.0)#2,564
149.14871124.050.0(+74.0)#14953.0(+71.0)#2,566
150.12193124.050.0(+74.0)#15053.0(+71.0)#2,580
151.12067124.050.0(+74.0)#15153.0(+71.0)#2,582
152.12592123.050.0(+73.0)#15253.0(+70.0)#2,619
153.12451123.050.0(+73.0)#15353.0(+70.0)#2,625
154.11968122.050.0(+72.0)#15453.0(+69.0)#2,647
155.14489122.050.0(+72.0)#15553.0(+69.0)#2,652
156.14487122.050.0(+72.0)#15653.0(+69.0)#2,654
157.12157122.050.0(+72.0)#15753.0(+69.0)#2,656
158.12809122.050.0(+72.0)#15853.0(+69.0)#2,661
159.12130122.050.0(+72.0)#15953.0(+69.0)#2,684
160.13860122.050.0(+72.0)#16053.0(+69.0)#2,688
161.13152119.050.0(+69.0)#16153.0(+66.0)#2,769
162.13652119.050.0(+69.0)#16253.0(+66.0)#2,781
163.13303119.050.0(+69.0)#16353.0(+66.0)#2,785
164.14820119.050.0(+69.0)#16453.0(+66.0)#2,798
165.10578118.050.0(+68.0)#16553.0(+65.0)#2,832
166.13485118.050.0(+68.0)#16653.0(+65.0)#2,834
167.12913118.050.0(+68.0)#16753.0(+65.0)#2,844
168.13778117.050.0(+67.0)#16853.0(+64.0)#2,881
169.12853117.050.0(+67.0)#16953.0(+64.0)#2,896
170.12419117.050.0(+67.0)#17053.0(+64.0)#2,903
171.13101116.050.0(+66.0)#17153.0(+63.0)#2,932
172.11219115.050.0(+65.0)#17253.0(+62.0)#2,956
173.10927115.050.0(+65.0)#17353.0(+62.0)#2,964
174.11976115.050.0(+65.0)#17453.0(+62.0)#2,983
175.14418115.050.0(+65.0)#17553.0(+62.0)#2,997
176.12790114.050.0(+64.0)#17653.0(+61.0)#3,035
177.14013114.050.0(+64.0)#17753.0(+61.0)#3,043
178.11795113.050.0(+63.0)#17853.0(+60.0)#3,066
179.12037113.050.0(+63.0)#17953.0(+60.0)#3,081
180.13063113.050.0(+63.0)#18053.0(+60.0)#3,094
181.14037113.050.0(+63.0)#18153.0(+60.0)#3,103
182.10302112.050.0(+62.0)#18253.0(+59.0)#3,119
183.12801112.050.0(+62.0)#18353.0(+59.0)#3,123
184.13642112.050.0(+62.0)#18453.0(+59.0)#3,127
185.11558112.050.0(+62.0)#18553.0(+59.0)#3,129
186.12919111.050.0(+61.0)#18653.0(+58.0)#3,203
187.13136111.050.0(+61.0)#18753.0(+58.0)#3,227
188.13660110.050.0(+60.0)#18853.0(+57.0)#3,285
189.13324110.050.0(+60.0)#18953.0(+57.0)#3,288
190.12434110.050.0(+60.0)#19053.0(+57.0)#3,295
191.12428109.050.0(+59.0)#19153.0(+56.0)#3,320
192.13357108.050.0(+58.0)#19253.0(+55.0)#3,374
193.13135107.050.0(+57.0)#19353.0(+54.0)#3,439
194.12788107.050.0(+57.0)#19453.0(+54.0)#3,454
195.12764107.050.0(+57.0)#19553.0(+54.0)#3,469
196.14504107.050.0(+57.0)#19653.0(+54.0)#3,472
197.13440106.050.0(+56.0)#19753.0(+53.0)#3,503
198.11553106.050.0(+56.0)#19853.0(+53.0)#3,506
199.11096106.050.0(+56.0)#19953.0(+53.0)#3,517
200.13339106.050.0(+56.0)#20053.0(+53.0)#3,521