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

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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
Finances
Physical Characteristics
Indiana
Compare Zip Codes
Comparison Subject

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

0.0
500.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Indiana Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 46980 469.0 51.0 (+418)#1 48.0 (+421)#195
2. 47231 446.0 51.0 (+395)#2 48.0 (+398)#222
3. 46930 387.0 51.0 (+336)#3 48.0 (+339)#279
4. 46913 356.0 51.0 (+305)#4 48.0 (+308)#336
5. 47535 338.0 51.0 (+287)#5 48.0 (+290)#368
6. 46939 304.0 51.0 (+253)#6 48.0 (+256)#458
7. 47223 283.0 51.0 (+232)#7 48.0 (+235)#525
8. 46781 276.0 51.0 (+225)#8 48.0 (+228)#551
9. 46149 265.0 51.0 (+214)#9 48.0 (+217)#592
10. 47369 254.0 51.0 (+203)#10 48.0 (+206)#636
11. 47264 240.0 51.0 (+189)#11 48.0 (+192)#711
12. 46301 231.0 51.0 (+180)#12 48.0 (+183)#756
13. 46150 216.0 51.0 (+165)#13 48.0 (+168)#865
14. 47528 206.0 51.0 (+155)#14 48.0 (+158)#945
15. 46798 197.0 51.0 (+146)#15 48.0 (+149)#1,038
16. 47838 195.0 51.0 (+144)#16 48.0 (+147)#1,060
17. 46985 194.0 51.0 (+143)#17 48.0 (+146)#1,072
18. 47030 188.0 51.0 (+137)#18 48.0 (+140)#1,114
19. 47575 188.0 51.0 (+137)#19 48.0 (+140)#1,117
20. 46111 188.0 51.0 (+137)#20 48.0 (+140)#1,120
21. 47023 187.0 51.0 (+136)#21 48.0 (+139)#1,126
22. 47340 183.0 51.0 (+132)#22 48.0 (+135)#1,177
23. 47633 180.0 51.0 (+129)#23 48.0 (+132)#1,205
24. 46374 177.0 51.0 (+126)#24 48.0 (+129)#1,235
25. 47992 174.0 51.0 (+123)#25 48.0 (+126)#1,270
26. 46349 172.0 51.0 (+121)#26 48.0 (+124)#1,298
27. 46732 171.0 51.0 (+120)#27 48.0 (+123)#1,318
28. 47003 168.0 51.0 (+117)#28 48.0 (+120)#1,365
29. 46742 163.0 51.0 (+112)#29 48.0 (+115)#1,440
30. 47955 163.0 51.0 (+112)#30 48.0 (+115)#1,451
31. 47164 162.0 51.0 (+111)#31 48.0 (+114)#1,458
32. 47952 162.0 51.0 (+111)#32 48.0 (+114)#1,461
33. 47568 158.0 51.0 (+107)#33 48.0 (+110)#1,540
34. 46759 158.0 51.0 (+107)#34 48.0 (+110)#1,544
35. 46745 152.0 51.0 (+101)#35 48.0 (+104)#1,641
36. 47043 150.0 51.0 (+99.0)#36 48.0 (+102)#1,671
37. 46118 148.0 51.0 (+97.0)#37 48.0 (+100.0)#1,714
38. 47469 146.0 51.0 (+95.0)#38 48.0 (+98.0)#1,767
39. 46788 143.0 51.0 (+92.0)#39 48.0 (+95.0)#1,811
40. 46958 138.0 51.0 (+87.0)#40 48.0 (+90.0)#1,972
41. 47273 136.0 51.0 (+85.0)#41 48.0 (+88.0)#2,019
42. 46711 134.0 51.0 (+83.0)#42 48.0 (+86.0)#2,067
43. 47393 134.0 51.0 (+83.0)#43 48.0 (+86.0)#2,077
44. 47360 134.0 51.0 (+83.0)#44 48.0 (+86.0)#2,079
45. 47616 132.0 51.0 (+81.0)#45 48.0 (+84.0)#2,145
46. 46991 128.0 51.0 (+77.0)#46 48.0 (+80.0)#2,250
47. 47613 126.0 51.0 (+75.0)#47 48.0 (+78.0)#2,319
48. 47513 126.0 51.0 (+75.0)#48 48.0 (+78.0)#2,327
49. 46407 125.0 51.0 (+74.0)#49 48.0 (+77.0)#2,341
50. 47234 125.0 51.0 (+74.0)#50 48.0 (+77.0)#2,352
51. 46076 122.0 51.0 (+71.0)#51 48.0 (+74.0)#2,450
52. 46802 121.0 51.0 (+70.0)#52 48.0 (+73.0)#2,475
53. 46406 121.0 51.0 (+70.0)#53 48.0 (+73.0)#2,476
54. 47562 121.0 51.0 (+70.0)#54 48.0 (+73.0)#2,481
55. 47557 118.0 51.0 (+67.0)#55 48.0 (+70.0)#2,606
56. 46186 115.0 51.0 (+64.0)#56 48.0 (+67.0)#2,730
57. 46746 112.0 51.0 (+61.0)#57 48.0 (+64.0)#2,844
58. 46346 112.0 51.0 (+61.0)#58 48.0 (+64.0)#2,854
59. 47855 112.0 51.0 (+61.0)#59 48.0 (+64.0)#2,863
60. 46748 111.0 51.0 (+60.0)#60 48.0 (+63.0)#2,879
61. 47579 111.0 51.0 (+60.0)#61 48.0 (+63.0)#2,893
62. 47118 110.0 51.0 (+59.0)#62 48.0 (+62.0)#2,958
63. 46225 107.0 51.0 (+56.0)#63 48.0 (+59.0)#3,108
64. 47037 107.0 51.0 (+56.0)#64 48.0 (+59.0)#3,110
65. 47946 107.0 51.0 (+56.0)#65 48.0 (+59.0)#3,121
66. 46327 105.0 51.0 (+54.0)#66 48.0 (+57.0)#3,192
67. 47368 105.0 51.0 (+54.0)#67 48.0 (+57.0)#3,223
68. 47597 105.0 51.0 (+54.0)#68 48.0 (+57.0)#3,232
69. 47872 104.0 51.0 (+53.0)#69 48.0 (+56.0)#3,260
70. 46034 104.0 51.0 (+53.0)#70 48.0 (+56.0)#3,261
71. 46554 104.0 51.0 (+53.0)#71 48.0 (+56.0)#3,270
72. 46986 103.0 51.0 (+52.0)#72 48.0 (+55.0)#3,348
73. 47949 103.0 51.0 (+52.0)#73 48.0 (+55.0)#3,349
74. 46072 102.0 51.0 (+51.0)#74 48.0 (+54.0)#3,381
75. 47917 102.0 51.0 (+51.0)#75 48.0 (+54.0)#3,426
76. 46542 101.0 51.0 (+50.0)#76 48.0 (+53.0)#3,455
77. 47126 100.0 51.0 (+49.0)#77 48.0 (+52.0)#3,506
78. 47125 100.0 51.0 (+49.0)#78 48.0 (+52.0)#3,524
79. 46168 99.0 51.0 (+48.0)#79 48.0 (+51.0)#3,551
80. 47170 99.0 51.0 (+48.0)#80 48.0 (+51.0)#3,559
81. 46923 99.0 51.0 (+48.0)#81 48.0 (+51.0)#3,566
82. 47648 98.0 51.0 (+47.0)#82 48.0 (+50.0)#3,646
83. 47963 98.0 51.0 (+47.0)#83 48.0 (+50.0)#3,656
84. 46310 97.0 51.0 (+46.0)#84 48.0 (+49.0)#3,693
85. 47460 97.0 51.0 (+46.0)#85 48.0 (+49.0)#3,696
86. 46403 97.0 51.0 (+46.0)#86 48.0 (+49.0)#3,697
87. 47024 97.0 51.0 (+46.0)#87 48.0 (+49.0)#3,725
88. 47960 96.0 51.0 (+45.0)#88 48.0 (+48.0)#3,768
89. 47346 95.0 51.0 (+44.0)#89 48.0 (+47.0)#3,853
90. 46130 95.0 51.0 (+44.0)#90 48.0 (+47.0)#3,860
91. 46063 94.0 51.0 (+43.0)#91 48.0 (+46.0)#3,953
92. 46772 93.0 51.0 (+42.0)#92 48.0 (+45.0)#3,992
93. 47995 93.0 51.0 (+42.0)#93 48.0 (+45.0)#4,005
94. 47141 93.0 51.0 (+42.0)#94 48.0 (+45.0)#4,007
95. 46952 92.0 51.0 (+41.0)#95 48.0 (+44.0)#4,043
96. 47371 92.0 51.0 (+41.0)#96 48.0 (+44.0)#4,053
97. 46911 92.0 51.0 (+41.0)#97 48.0 (+44.0)#4,081
98. 47666 91.0 51.0 (+40.0)#98 48.0 (+43.0)#4,167
99. 46366 90.0 51.0 (+39.0)#99 48.0 (+42.0)#4,239
100. 47930 90.0 51.0 (+39.0)#100 48.0 (+42.0)#4,278

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Indiana?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Indiana are:
#1
469.0
#2
446.0
#3
387.0
#4
356.0
#5
338.0
#6
304.0
#7
283.0
#8
276.0
#9
265.0
#10
254.0
What zip code has the Most Births per 1,000 Women in Labor Force in Indiana?
46980 has the Most Births per 1,000 Women in Labor Force in Indiana with 469.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Indiana?
Number of Births per 1,000 Women in Labor Force in Indiana is 51.0.
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 48.0.