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
1.46980469.051.0(+418)#148.0(+421)#195
2.47231446.051.0(+395)#248.0(+398)#222
3.46930387.051.0(+336)#348.0(+339)#279
4.46913356.051.0(+305)#448.0(+308)#336
5.47535338.051.0(+287)#548.0(+290)#368
6.46939304.051.0(+253)#648.0(+256)#458
7.47223283.051.0(+232)#748.0(+235)#525
8.46781276.051.0(+225)#848.0(+228)#551
9.46149265.051.0(+214)#948.0(+217)#592
10.47369254.051.0(+203)#1048.0(+206)#636
11.47264240.051.0(+189)#1148.0(+192)#711
12.46301231.051.0(+180)#1248.0(+183)#756
13.46150216.051.0(+165)#1348.0(+168)#865
14.47528206.051.0(+155)#1448.0(+158)#945
15.46798197.051.0(+146)#1548.0(+149)#1,038
16.47838195.051.0(+144)#1648.0(+147)#1,060
17.46985194.051.0(+143)#1748.0(+146)#1,072
18.47030188.051.0(+137)#1848.0(+140)#1,114
19.47575188.051.0(+137)#1948.0(+140)#1,117
20.46111188.051.0(+137)#2048.0(+140)#1,120
21.47023187.051.0(+136)#2148.0(+139)#1,126
22.47340183.051.0(+132)#2248.0(+135)#1,177
23.47633180.051.0(+129)#2348.0(+132)#1,205
24.46374177.051.0(+126)#2448.0(+129)#1,235
25.47992174.051.0(+123)#2548.0(+126)#1,270
26.46349172.051.0(+121)#2648.0(+124)#1,298
27.46732171.051.0(+120)#2748.0(+123)#1,318
28.47003168.051.0(+117)#2848.0(+120)#1,365
29.46742163.051.0(+112)#2948.0(+115)#1,440
30.47955163.051.0(+112)#3048.0(+115)#1,451
31.47164162.051.0(+111)#3148.0(+114)#1,458
32.47952162.051.0(+111)#3248.0(+114)#1,461
33.47568158.051.0(+107)#3348.0(+110)#1,540
34.46759158.051.0(+107)#3448.0(+110)#1,544
35.46745152.051.0(+101)#3548.0(+104)#1,641
36.47043150.051.0(+99.0)#3648.0(+102)#1,671
37.46118148.051.0(+97.0)#3748.0(+100.0)#1,714
38.47469146.051.0(+95.0)#3848.0(+98.0)#1,767
39.46788143.051.0(+92.0)#3948.0(+95.0)#1,811
40.46958138.051.0(+87.0)#4048.0(+90.0)#1,972
41.47273136.051.0(+85.0)#4148.0(+88.0)#2,019
42.46711134.051.0(+83.0)#4248.0(+86.0)#2,067
43.47393134.051.0(+83.0)#4348.0(+86.0)#2,077
44.47360134.051.0(+83.0)#4448.0(+86.0)#2,079
45.47616132.051.0(+81.0)#4548.0(+84.0)#2,145
46.46991128.051.0(+77.0)#4648.0(+80.0)#2,250
47.47613126.051.0(+75.0)#4748.0(+78.0)#2,319
48.47513126.051.0(+75.0)#4848.0(+78.0)#2,327
49.46407125.051.0(+74.0)#4948.0(+77.0)#2,341
50.47234125.051.0(+74.0)#5048.0(+77.0)#2,352
51.46076122.051.0(+71.0)#5148.0(+74.0)#2,450
52.46802121.051.0(+70.0)#5248.0(+73.0)#2,475
53.46406121.051.0(+70.0)#5348.0(+73.0)#2,476
54.47562121.051.0(+70.0)#5448.0(+73.0)#2,481
55.47557118.051.0(+67.0)#5548.0(+70.0)#2,606
56.46186115.051.0(+64.0)#5648.0(+67.0)#2,730
57.46746112.051.0(+61.0)#5748.0(+64.0)#2,844
58.46346112.051.0(+61.0)#5848.0(+64.0)#2,854
59.47855112.051.0(+61.0)#5948.0(+64.0)#2,863
60.46748111.051.0(+60.0)#6048.0(+63.0)#2,879
61.47579111.051.0(+60.0)#6148.0(+63.0)#2,893
62.47118110.051.0(+59.0)#6248.0(+62.0)#2,958
63.46225107.051.0(+56.0)#6348.0(+59.0)#3,108
64.47037107.051.0(+56.0)#6448.0(+59.0)#3,110
65.47946107.051.0(+56.0)#6548.0(+59.0)#3,121
66.46327105.051.0(+54.0)#6648.0(+57.0)#3,192
67.47368105.051.0(+54.0)#6748.0(+57.0)#3,223
68.47597105.051.0(+54.0)#6848.0(+57.0)#3,232
69.47872104.051.0(+53.0)#6948.0(+56.0)#3,260
70.46034104.051.0(+53.0)#7048.0(+56.0)#3,261
71.46554104.051.0(+53.0)#7148.0(+56.0)#3,270
72.46986103.051.0(+52.0)#7248.0(+55.0)#3,348
73.47949103.051.0(+52.0)#7348.0(+55.0)#3,349
74.46072102.051.0(+51.0)#7448.0(+54.0)#3,381
75.47917102.051.0(+51.0)#7548.0(+54.0)#3,426
76.46542101.051.0(+50.0)#7648.0(+53.0)#3,455
77.47126100.051.0(+49.0)#7748.0(+52.0)#3,506
78.47125100.051.0(+49.0)#7848.0(+52.0)#3,524
79.4616899.051.0(+48.0)#7948.0(+51.0)#3,551
80.4717099.051.0(+48.0)#8048.0(+51.0)#3,559
81.4692399.051.0(+48.0)#8148.0(+51.0)#3,566
82.4764898.051.0(+47.0)#8248.0(+50.0)#3,646
83.4796398.051.0(+47.0)#8348.0(+50.0)#3,656
84.4631097.051.0(+46.0)#8448.0(+49.0)#3,693
85.4746097.051.0(+46.0)#8548.0(+49.0)#3,696
86.4640397.051.0(+46.0)#8648.0(+49.0)#3,697
87.4702497.051.0(+46.0)#8748.0(+49.0)#3,725
88.4796096.051.0(+45.0)#8848.0(+48.0)#3,768
89.4734695.051.0(+44.0)#8948.0(+47.0)#3,853
90.4613095.051.0(+44.0)#9048.0(+47.0)#3,860
91.4606394.051.0(+43.0)#9148.0(+46.0)#3,953
92.4677293.051.0(+42.0)#9248.0(+45.0)#3,992
93.4799593.051.0(+42.0)#9348.0(+45.0)#4,005
94.4714193.051.0(+42.0)#9448.0(+45.0)#4,007
95.4695292.051.0(+41.0)#9548.0(+44.0)#4,043
96.4737192.051.0(+41.0)#9648.0(+44.0)#4,053
97.4691192.051.0(+41.0)#9748.0(+44.0)#4,081
98.4766691.051.0(+40.0)#9848.0(+43.0)#4,167
99.4636690.051.0(+39.0)#9948.0(+42.0)#4,239
100.4793090.051.0(+39.0)#10048.0(+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.