Zip Codes with the Most Births per 1,000 Women in Labor Force in the United States

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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
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Physical Characteristics
United States
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Most Births per 1,000 Women in Labor Force in the United States

Zip Code Births / 1,000 Women vs State vs National
1.25564, West Virginia1,000.043.0(+957)#147.0(+953)#1
2.29037, South Carolina1,000.050.0(+950)#147.0(+953)#2
3.15698, Pennsylvania1,000.047.0(+953)#147.0(+953)#4
4.95914, California1,000.044.0(+956)#147.0(+953)#5
5.87012, New Mexico1,000.048.0(+952)#147.0(+953)#6
6.41615, Kentucky1,000.049.0(+951)#147.0(+953)#7
7.02663, Massachusetts1,000.045.0(+955)#147.0(+953)#8
8.96133, California1,000.044.0(+956)#247.0(+953)#9
9.65335, Missouri1,000.052.0(+948)#147.0(+953)#10
10.20667, Maryland1,000.050.0(+950)#147.0(+953)#11
11.22731, Virginia1,000.045.0(+955)#147.0(+953)#12
12.41540, Kentucky1,000.049.0(+951)#247.0(+953)#13
13.40983, Kentucky1,000.049.0(+951)#347.0(+953)#14
14.80652, Colorado1,000.041.0(+959)#147.0(+953)#15
15.43934, Ohio1,000.051.0(+949)#147.0(+953)#16
16.18460, Pennsylvania1,000.047.0(+953)#247.0(+953)#17
17.73758, Oklahoma1,000.051.0(+949)#147.0(+953)#18
18.82222, Wyoming1,000.052.0(+948)#147.0(+953)#19
19.78391, Texas1,000.049.0(+951)#147.0(+953)#20
20.28652, North Carolina1,000.046.0(+954)#147.0(+953)#21
21.50102, Iowa1,000.054.0(+946)#147.0(+953)#22
22.89426, Nevada1,000.047.0(+953)#147.0(+953)#23
23.94074, California1,000.044.0(+956)#347.0(+953)#24
24.65702, Missouri1,000.052.0(+948)#247.0(+953)#25
25.71820, Arkansas1,000.050.0(+950)#147.0(+953)#26
26.66838, Kansas1,000.054.0(+946)#147.0(+953)#27
27.06350, Connecticut1,000.043.0(+957)#147.0(+953)#28
28.57475, South Dakota1,000.057.0(+943)#147.0(+953)#29
29.68881, Nebraska1,000.058.0(+942)#147.0(+953)#30
30.06414, Connecticut1,000.043.0(+957)#247.0(+953)#31
31.35070, Alabama1,000.048.0(+952)#147.0(+953)#32
32.03291, New Hampshire1,000.044.0(+956)#147.0(+953)#33
33.63567, Missouri1,000.052.0(+948)#347.0(+953)#34
34.95934, California1,000.044.0(+956)#447.0(+953)#35
35.57640, South Dakota1,000.057.0(+943)#247.0(+953)#36
36.82648, Wyoming1,000.052.0(+948)#247.0(+953)#37
37.76469, Texas1,000.049.0(+951)#247.0(+953)#38
38.39177, Mississippi1,000.055.0(+945)#147.0(+953)#39
39.64092, Missouri1,000.052.0(+948)#447.0(+953)#40
40.03238, New Hampshire1,000.044.0(+956)#247.0(+953)#41
41.13020, New York1,000.046.0(+954)#147.0(+953)#42
42.13436, New York1,000.046.0(+954)#247.0(+953)#43
43.88424, New Mexico1,000.048.0(+952)#247.0(+953)#44
44.46704, Indiana1,000.049.0(+951)#147.0(+953)#45
45.47925, Indiana1,000.049.0(+951)#247.0(+953)#46
46.49084, Michigan1,000.048.0(+952)#147.0(+953)#47
47.65623, Missouri1,000.052.0(+948)#547.0(+953)#48
48.17263, Pennsylvania860.047.0(+813)#347.0(+813)#49
49.80755, Colorado857.041.0(+816)#247.0(+810)#50
50.61475, Illinois833.049.0(+784)#147.0(+786)#51
51.79842, Texas831.049.0(+782)#347.0(+784)#52
52.62523, Illinois830.049.0(+781)#247.0(+783)#53
53.17778, Pennsylvania824.047.0(+777)#447.0(+777)#54
54.36790, Alabama821.048.0(+773)#247.0(+774)#55
55.57755, South Dakota818.057.0(+761)#347.0(+771)#56
56.25971, West Virginia800.043.0(+757)#247.0(+753)#57
57.73764, Oklahoma786.051.0(+735)#247.0(+739)#58
58.27972, North Carolina778.046.0(+732)#247.0(+731)#59
59.96117, California760.044.0(+716)#547.0(+713)#60
60.58794, North Dakota750.061.0(+689)#147.0(+703)#61
61.19511, Pennsylvania750.047.0(+703)#547.0(+703)#62
62.79234, Texas750.049.0(+701)#447.0(+703)#63
63.41547, Kentucky744.049.0(+695)#447.0(+697)#64
64.19435, Pennsylvania742.047.0(+695)#647.0(+695)#65
65.41554, Kentucky739.049.0(+690)#547.0(+692)#66
66.52354, Iowa733.054.0(+679)#247.0(+686)#67
67.59830, Montana719.048.0(+671)#147.0(+672)#68
68.14026, New York714.046.0(+668)#347.0(+667)#69
69.21634, Maryland714.050.0(+664)#247.0(+667)#70
70.20758, Maryland706.050.0(+656)#347.0(+659)#71
71.72629, Arkansas704.050.0(+654)#247.0(+657)#72
72.62887, Illinois704.049.0(+655)#347.0(+657)#73
73.99572, Alaska700.049.0(+651)#147.0(+653)#74
74.17550, Pennsylvania684.047.0(+637)#747.0(+637)#75
75.58477, North Dakota683.061.0(+622)#247.0(+636)#76
76.43127, Ohio677.051.0(+626)#247.0(+630)#77
77.67103, Kansas676.054.0(+622)#247.0(+629)#78
78.70736, Louisiana675.049.0(+626)#147.0(+628)#79
79.29816, South Carolina667.050.0(+617)#247.0(+620)#80
80.99666, Alaska667.049.0(+618)#247.0(+620)#81
81.82242, Wyoming667.052.0(+615)#347.0(+620)#82
82.68014, Nebraska663.058.0(+605)#247.0(+616)#83
83.62361, Illinois641.049.0(+592)#447.0(+594)#84
84.57467, South Dakota634.057.0(+577)#447.0(+587)#85
85.23401, Virginia633.045.0(+588)#247.0(+586)#86
86.24237, Virginia630.045.0(+585)#347.0(+583)#87
87.67563, Kansas619.054.0(+565)#347.0(+572)#88
88.12420, New York617.046.0(+571)#447.0(+570)#89
89.66017, Kansas613.054.0(+559)#447.0(+566)#90
90.79733, Texas610.049.0(+561)#547.0(+563)#91
91.48896, Michigan609.048.0(+561)#247.0(+562)#92
92.31568, Georgia607.047.0(+560)#147.0(+560)#93
93.18241, Pennsylvania600.047.0(+553)#847.0(+553)#94
94.78342, Texas600.049.0(+551)#647.0(+553)#95
95.15712, Pennsylvania600.047.0(+553)#947.0(+553)#96
96.59012, Montana600.048.0(+552)#247.0(+553)#97
97.99589, Alaska600.049.0(+551)#347.0(+553)#98
98.40847, Kentucky596.049.0(+547)#647.0(+549)#99
99.19456, Pennsylvania594.047.0(+547)#1047.0(+547)#100
100.41524, Kentucky588.049.0(+539)#747.0(+541)#101

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in the United States?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in the United States are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
1,000.0
#5
1,000.0
#6
1,000.0
#7
1,000.0
#8
1,000.0
#9
1,000.0
#10
1,000.0
What zip code has the Most Births per 1,000 Women in Labor Force in the United States?
25564 has the Most Births per 1,000 Women in Labor Force in the United States with 1,000.0.
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 47.0.