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

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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
Indiana
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 46710 3.0 51.0 (-48.0)#1 48.0 (-45.0)#73
2. 46510 4.0 51.0 (-47.0)#2 48.0 (-44.0)#149
3. 46951 4.0 51.0 (-47.0)#3 48.0 (-44.0)#155
4. 46926 4.0 51.0 (-47.0)#4 48.0 (-44.0)#162
5. 47111 5.0 51.0 (-46.0)#5 48.0 (-43.0)#173
6. 46809 5.0 51.0 (-46.0)#6 48.0 (-43.0)#183
7. 47165 5.0 51.0 (-46.0)#7 48.0 (-43.0)#191
8. 47106 5.0 51.0 (-46.0)#8 48.0 (-43.0)#202
9. 47383 5.0 51.0 (-46.0)#9 48.0 (-43.0)#212
10. 47977 5.0 51.0 (-46.0)#10 48.0 (-43.0)#215
11. 46552 6.0 51.0 (-45.0)#11 48.0 (-42.0)#261
12. 46056 6.0 51.0 (-45.0)#12 48.0 (-42.0)#290
13. 46553 7.0 51.0 (-44.0)#13 48.0 (-41.0)#368
14. 47232 7.0 51.0 (-44.0)#14 48.0 (-41.0)#381
15. 47848 7.0 51.0 (-44.0)#15 48.0 (-41.0)#396
16. 46259 8.0 51.0 (-43.0)#16 48.0 (-40.0)#424
17. 46565 8.0 51.0 (-43.0)#17 48.0 (-40.0)#442
18. 46933 8.0 51.0 (-43.0)#18 48.0 (-40.0)#459
19. 47359 8.0 51.0 (-43.0)#19 48.0 (-40.0)#496
20. 47342 8.0 51.0 (-43.0)#20 48.0 (-40.0)#511
21. 46776 8.0 51.0 (-43.0)#21 48.0 (-40.0)#524
22. 46204 9.0 51.0 (-42.0)#22 48.0 (-39.0)#581
23. 46613 10.0 51.0 (-41.0)#23 48.0 (-38.0)#710
24. 47441 10.0 51.0 (-41.0)#24 48.0 (-38.0)#727
25. 46571 11.0 51.0 (-40.0)#25 48.0 (-37.0)#890
26. 47968 11.0 51.0 (-40.0)#26 48.0 (-37.0)#969
27. 46040 12.0 51.0 (-39.0)#27 48.0 (-36.0)#1,017
28. 46280 12.0 51.0 (-39.0)#28 48.0 (-36.0)#1,060
29. 46543 12.0 51.0 (-39.0)#29 48.0 (-36.0)#1,089
30. 47523 12.0 51.0 (-39.0)#30 48.0 (-36.0)#1,099
31. 46166 12.0 51.0 (-39.0)#31 48.0 (-36.0)#1,111
32. 46160 13.0 51.0 (-38.0)#32 48.0 (-35.0)#1,247
33. 47138 13.0 51.0 (-38.0)#33 48.0 (-35.0)#1,258
34. 46371 13.0 51.0 (-38.0)#34 48.0 (-35.0)#1,277
35. 46764 13.0 51.0 (-38.0)#35 48.0 (-35.0)#1,316
36. 47356 14.0 51.0 (-37.0)#36 48.0 (-34.0)#1,433
37. 46511 14.0 51.0 (-37.0)#37 48.0 (-34.0)#1,445
38. 47032 14.0 51.0 (-37.0)#38 48.0 (-34.0)#1,464
39. 47974 14.0 51.0 (-37.0)#39 48.0 (-34.0)#1,505
40. 46703 15.0 51.0 (-36.0)#40 48.0 (-33.0)#1,560
41. 46550 15.0 51.0 (-36.0)#41 48.0 (-33.0)#1,580
42. 47001 15.0 51.0 (-36.0)#42 48.0 (-33.0)#1,594
43. 46507 15.0 51.0 (-36.0)#43 48.0 (-33.0)#1,595
44. 47454 15.0 51.0 (-36.0)#44 48.0 (-33.0)#1,610
45. 47433 15.0 51.0 (-36.0)#45 48.0 (-33.0)#1,640
46. 47355 15.0 51.0 (-36.0)#46 48.0 (-33.0)#1,651
47. 46044 15.0 51.0 (-36.0)#47 48.0 (-33.0)#1,665
48. 46974 15.0 51.0 (-36.0)#48 48.0 (-33.0)#1,684
49. 46036 16.0 51.0 (-35.0)#49 48.0 (-32.0)#1,786
50. 47847 16.0 51.0 (-35.0)#50 48.0 (-32.0)#1,901
51. 47834 17.0 51.0 (-34.0)#51 48.0 (-31.0)#1,957
52. 47102 17.0 51.0 (-34.0)#52 48.0 (-31.0)#2,008
53. 46940 17.0 51.0 (-34.0)#53 48.0 (-31.0)#2,045
54. 47634 17.0 51.0 (-34.0)#54 48.0 (-31.0)#2,054
55. 46105 17.0 51.0 (-34.0)#55 48.0 (-31.0)#2,072
56. 47137 17.0 51.0 (-34.0)#56 48.0 (-31.0)#2,076
57. 47345 17.0 51.0 (-34.0)#57 48.0 (-31.0)#2,077
58. 46203 18.0 51.0 (-33.0)#58 48.0 (-30.0)#2,119
59. 46970 18.0 51.0 (-33.0)#59 48.0 (-30.0)#2,148
60. 47710 18.0 51.0 (-33.0)#60 48.0 (-30.0)#2,160
61. 46216 18.0 51.0 (-33.0)#61 48.0 (-30.0)#2,269
62. 46516 19.0 51.0 (-32.0)#62 48.0 (-29.0)#2,340
63. 46304 19.0 51.0 (-32.0)#63 48.0 (-29.0)#2,346
64. 46375 19.0 51.0 (-32.0)#64 48.0 (-29.0)#2,355
65. 46321 19.0 51.0 (-32.0)#65 48.0 (-29.0)#2,356
66. 47172 19.0 51.0 (-32.0)#66 48.0 (-29.0)#2,368
67. 46250 19.0 51.0 (-32.0)#67 48.0 (-29.0)#2,381
68. 47918 19.0 51.0 (-32.0)#68 48.0 (-29.0)#2,449
69. 47471 19.0 51.0 (-32.0)#69 48.0 (-29.0)#2,470
70. 47874 19.0 51.0 (-32.0)#70 48.0 (-29.0)#2,481
71. 46978 19.0 51.0 (-32.0)#71 48.0 (-29.0)#2,489
72. 46058 19.0 51.0 (-32.0)#72 48.0 (-29.0)#2,493
73. 46115 19.0 51.0 (-32.0)#73 48.0 (-29.0)#2,509
74. 47649 19.0 51.0 (-32.0)#74 48.0 (-29.0)#2,513
75. 47906 20.0 51.0 (-31.0)#75 48.0 (-28.0)#2,544
76. 46278 20.0 51.0 (-31.0)#76 48.0 (-28.0)#2,657
77. 47868 20.0 51.0 (-31.0)#77 48.0 (-28.0)#2,729
78. 47036 20.0 51.0 (-31.0)#78 48.0 (-28.0)#2,762
79. 47401 21.0 51.0 (-30.0)#79 48.0 (-27.0)#2,812
80. 46725 21.0 51.0 (-30.0)#80 48.0 (-27.0)#2,848
81. 46064 21.0 51.0 (-30.0)#81 48.0 (-27.0)#2,872
82. 47805 21.0 51.0 (-30.0)#82 48.0 (-27.0)#2,894
83. 46184 21.0 51.0 (-30.0)#83 48.0 (-27.0)#2,895
84. 47018 21.0 51.0 (-30.0)#84 48.0 (-27.0)#2,959
85. 47558 21.0 51.0 (-30.0)#85 48.0 (-27.0)#2,960
86. 46914 21.0 51.0 (-30.0)#86 48.0 (-27.0)#2,978
87. 47305 21.0 51.0 (-30.0)#87 48.0 (-27.0)#2,982
88. 46158 22.0 51.0 (-29.0)#88 48.0 (-26.0)#3,103
89. 47601 22.0 51.0 (-29.0)#89 48.0 (-26.0)#3,146
90. 46069 22.0 51.0 (-29.0)#90 48.0 (-26.0)#3,190
91. 47452 22.0 51.0 (-29.0)#91 48.0 (-26.0)#3,207
92. 47712 23.0 51.0 (-28.0)#92 48.0 (-25.0)#3,358
93. 46975 23.0 51.0 (-28.0)#93 48.0 (-25.0)#3,404
94. 46767 23.0 51.0 (-28.0)#94 48.0 (-25.0)#3,424
95. 47567 23.0 51.0 (-28.0)#95 48.0 (-25.0)#3,449
96. 46777 23.0 51.0 (-28.0)#96 48.0 (-25.0)#3,452
97. 47520 23.0 51.0 (-28.0)#97 48.0 (-25.0)#3,499
98. 46947 24.0 51.0 (-27.0)#98 48.0 (-24.0)#3,620
99. 46528 24.0 51.0 (-27.0)#99 48.0 (-24.0)#3,625
100. 47408 24.0 51.0 (-27.0)#100 48.0 (-24.0)#3,646

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Indiana?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Indiana are:
#1
3.0
#2
4.0
#3
4.0
#4
4.0
#5
5.0
#6
5.0
#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 Indiana?
46710 has the Lowest Births per 1,000 Women in Labor Force in Indiana with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Indiana?
Number Births per 1,000 Women in Labor Force in Indiana is 51.0.
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.