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
1.137531.047.0(-46.0)#148.0(-47.0)#7
2.130533.047.0(-44.0)#248.0(-45.0)#71
3.100384.047.0(-43.0)#348.0(-44.0)#92
4.136344.047.0(-43.0)#448.0(-44.0)#138
5.148214.047.0(-43.0)#548.0(-44.0)#144
6.121164.047.0(-43.0)#648.0(-44.0)#164
7.140015.047.0(-42.0)#748.0(-43.0)#182
8.132445.047.0(-42.0)#848.0(-43.0)#185
9.149035.047.0(-42.0)#948.0(-43.0)#189
10.120255.047.0(-42.0)#1048.0(-43.0)#198
11.144826.047.0(-41.0)#1148.0(-42.0)#259
12.121546.047.0(-41.0)#1248.0(-42.0)#282
13.134096.047.0(-41.0)#1348.0(-42.0)#291
14.115427.047.0(-40.0)#1448.0(-41.0)#315
15.113707.047.0(-40.0)#1548.0(-41.0)#316
16.137977.047.0(-40.0)#1648.0(-41.0)#383
17.117678.047.0(-39.0)#1748.0(-40.0)#426
18.119618.047.0(-39.0)#1848.0(-40.0)#429
19.105488.047.0(-39.0)#1948.0(-40.0)#480
20.109638.047.0(-39.0)#2048.0(-40.0)#482
21.125268.047.0(-39.0)#2148.0(-40.0)#493
22.134088.047.0(-39.0)#2248.0(-40.0)#497
23.120708.047.0(-39.0)#2348.0(-40.0)#507
24.121378.047.0(-39.0)#2448.0(-40.0)#518
25.114239.047.0(-38.0)#2548.0(-39.0)#553
26.123089.047.0(-38.0)#2648.0(-39.0)#566
27.105149.047.0(-38.0)#2748.0(-39.0)#570
28.141039.047.0(-38.0)#2848.0(-39.0)#580
29.125729.047.0(-38.0)#2948.0(-39.0)#585
30.145309.047.0(-38.0)#3048.0(-39.0)#592
31.129469.047.0(-38.0)#3148.0(-39.0)#604
32.125809.047.0(-38.0)#3248.0(-39.0)#607
33.117499.047.0(-38.0)#3348.0(-39.0)#615
34.134769.047.0(-38.0)#3448.0(-39.0)#620
35.147399.047.0(-38.0)#3548.0(-39.0)#627
36.136229.047.0(-38.0)#3648.0(-39.0)#636
37.137559.047.0(-38.0)#3748.0(-39.0)#661
38.1272110.047.0(-37.0)#3848.0(-38.0)#733
39.1488610.047.0(-37.0)#3948.0(-38.0)#744
40.1298610.047.0(-37.0)#4048.0(-38.0)#751
41.1381110.047.0(-37.0)#4148.0(-38.0)#764
42.1452510.047.0(-37.0)#4248.0(-38.0)#782
43.1455010.047.0(-37.0)#4348.0(-38.0)#804
44.1483610.047.0(-37.0)#4448.0(-38.0)#819
45.1385011.047.0(-36.0)#4548.0(-37.0)#839
46.1151811.047.0(-36.0)#4648.0(-37.0)#867
47.1216711.047.0(-36.0)#4748.0(-37.0)#948
48.1364611.047.0(-36.0)#4848.0(-37.0)#950
49.1001212.047.0(-35.0)#4948.0(-36.0)#1,010
50.1195112.047.0(-35.0)#5048.0(-36.0)#1,023
51.1218212.047.0(-35.0)#5148.0(-36.0)#1,024
52.1252812.047.0(-35.0)#5248.0(-36.0)#1,031
53.1217012.047.0(-35.0)#5348.0(-36.0)#1,081
54.1386212.047.0(-35.0)#5448.0(-36.0)#1,093
55.1484012.047.0(-35.0)#5548.0(-36.0)#1,116
56.1210612.047.0(-35.0)#5648.0(-36.0)#1,122
57.1343112.047.0(-35.0)#5748.0(-36.0)#1,126
58.1311112.047.0(-35.0)#5848.0(-36.0)#1,127
59.1002913.047.0(-34.0)#5948.0(-35.0)#1,158
60.1001913.047.0(-34.0)#6048.0(-35.0)#1,163
61.1270113.047.0(-34.0)#6148.0(-35.0)#1,210
62.1420813.047.0(-34.0)#6248.0(-35.0)#1,212
63.1282813.047.0(-34.0)#6348.0(-35.0)#1,224
64.1322413.047.0(-34.0)#6448.0(-35.0)#1,227
65.1001813.047.0(-34.0)#6548.0(-35.0)#1,229
66.1059413.047.0(-34.0)#6648.0(-35.0)#1,252
67.1288313.047.0(-34.0)#6748.0(-35.0)#1,262
68.1098713.047.0(-34.0)#6848.0(-35.0)#1,272
69.1003214.047.0(-33.0)#6948.0(-34.0)#1,347
70.1193714.047.0(-33.0)#7048.0(-34.0)#1,369
71.1060114.047.0(-33.0)#7148.0(-34.0)#1,394
72.1390414.047.0(-33.0)#7248.0(-34.0)#1,403
73.1257014.047.0(-33.0)#7348.0(-34.0)#1,420
74.1102014.047.0(-33.0)#7448.0(-34.0)#1,425
75.1400914.047.0(-33.0)#7548.0(-34.0)#1,432
76.1207414.047.0(-33.0)#7648.0(-34.0)#1,468
77.1406514.047.0(-33.0)#7748.0(-34.0)#1,488
78.1299314.047.0(-33.0)#7848.0(-34.0)#1,493
79.1142115.047.0(-32.0)#7948.0(-33.0)#1,537
80.1303215.047.0(-32.0)#8048.0(-33.0)#1,578
81.1256615.047.0(-32.0)#8148.0(-33.0)#1,579
82.1403115.047.0(-32.0)#8248.0(-33.0)#1,596
83.1136315.047.0(-32.0)#8348.0(-33.0)#1,614
84.1211715.047.0(-32.0)#8448.0(-33.0)#1,664
85.1480415.047.0(-32.0)#8548.0(-33.0)#1,693
86.1383515.047.0(-32.0)#8648.0(-33.0)#1,701
87.1485016.047.0(-31.0)#8748.0(-32.0)#1,727
88.1441116.047.0(-31.0)#8848.0(-32.0)#1,781
89.1057916.047.0(-31.0)#8948.0(-32.0)#1,805
90.1254216.047.0(-31.0)#9048.0(-32.0)#1,824
91.1288516.047.0(-31.0)#9148.0(-32.0)#1,833
92.1454816.047.0(-31.0)#9248.0(-32.0)#1,841
93.1000616.047.0(-31.0)#9348.0(-32.0)#1,846
94.1213816.047.0(-31.0)#9448.0(-32.0)#1,865
95.1420316.047.0(-31.0)#9548.0(-32.0)#1,869
96.1471116.047.0(-31.0)#9648.0(-32.0)#1,875
97.1202216.047.0(-31.0)#9748.0(-32.0)#1,898
98.1135417.047.0(-30.0)#9848.0(-31.0)#1,925
99.1142917.047.0(-30.0)#9948.0(-31.0)#1,942
100.1490117.047.0(-30.0)#10048.0(-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.