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
1.467103.051.0(-48.0)#148.0(-45.0)#73
2.465104.051.0(-47.0)#248.0(-44.0)#149
3.469514.051.0(-47.0)#348.0(-44.0)#155
4.469264.051.0(-47.0)#448.0(-44.0)#162
5.471115.051.0(-46.0)#548.0(-43.0)#173
6.468095.051.0(-46.0)#648.0(-43.0)#183
7.471655.051.0(-46.0)#748.0(-43.0)#191
8.471065.051.0(-46.0)#848.0(-43.0)#202
9.473835.051.0(-46.0)#948.0(-43.0)#212
10.479775.051.0(-46.0)#1048.0(-43.0)#215
11.465526.051.0(-45.0)#1148.0(-42.0)#261
12.460566.051.0(-45.0)#1248.0(-42.0)#290
13.465537.051.0(-44.0)#1348.0(-41.0)#368
14.472327.051.0(-44.0)#1448.0(-41.0)#381
15.478487.051.0(-44.0)#1548.0(-41.0)#396
16.462598.051.0(-43.0)#1648.0(-40.0)#424
17.465658.051.0(-43.0)#1748.0(-40.0)#442
18.469338.051.0(-43.0)#1848.0(-40.0)#459
19.473598.051.0(-43.0)#1948.0(-40.0)#496
20.473428.051.0(-43.0)#2048.0(-40.0)#511
21.467768.051.0(-43.0)#2148.0(-40.0)#524
22.462049.051.0(-42.0)#2248.0(-39.0)#581
23.4661310.051.0(-41.0)#2348.0(-38.0)#710
24.4744110.051.0(-41.0)#2448.0(-38.0)#727
25.4657111.051.0(-40.0)#2548.0(-37.0)#890
26.4796811.051.0(-40.0)#2648.0(-37.0)#969
27.4604012.051.0(-39.0)#2748.0(-36.0)#1,017
28.4628012.051.0(-39.0)#2848.0(-36.0)#1,060
29.4654312.051.0(-39.0)#2948.0(-36.0)#1,089
30.4752312.051.0(-39.0)#3048.0(-36.0)#1,099
31.4616612.051.0(-39.0)#3148.0(-36.0)#1,111
32.4616013.051.0(-38.0)#3248.0(-35.0)#1,247
33.4713813.051.0(-38.0)#3348.0(-35.0)#1,258
34.4637113.051.0(-38.0)#3448.0(-35.0)#1,277
35.4676413.051.0(-38.0)#3548.0(-35.0)#1,316
36.4735614.051.0(-37.0)#3648.0(-34.0)#1,433
37.4651114.051.0(-37.0)#3748.0(-34.0)#1,445
38.4703214.051.0(-37.0)#3848.0(-34.0)#1,464
39.4797414.051.0(-37.0)#3948.0(-34.0)#1,505
40.4670315.051.0(-36.0)#4048.0(-33.0)#1,560
41.4655015.051.0(-36.0)#4148.0(-33.0)#1,580
42.4700115.051.0(-36.0)#4248.0(-33.0)#1,594
43.4650715.051.0(-36.0)#4348.0(-33.0)#1,595
44.4745415.051.0(-36.0)#4448.0(-33.0)#1,610
45.4743315.051.0(-36.0)#4548.0(-33.0)#1,640
46.4735515.051.0(-36.0)#4648.0(-33.0)#1,651
47.4604415.051.0(-36.0)#4748.0(-33.0)#1,665
48.4697415.051.0(-36.0)#4848.0(-33.0)#1,684
49.4603616.051.0(-35.0)#4948.0(-32.0)#1,786
50.4784716.051.0(-35.0)#5048.0(-32.0)#1,901
51.4783417.051.0(-34.0)#5148.0(-31.0)#1,957
52.4710217.051.0(-34.0)#5248.0(-31.0)#2,008
53.4694017.051.0(-34.0)#5348.0(-31.0)#2,045
54.4763417.051.0(-34.0)#5448.0(-31.0)#2,054
55.4610517.051.0(-34.0)#5548.0(-31.0)#2,072
56.4713717.051.0(-34.0)#5648.0(-31.0)#2,076
57.4734517.051.0(-34.0)#5748.0(-31.0)#2,077
58.4620318.051.0(-33.0)#5848.0(-30.0)#2,119
59.4697018.051.0(-33.0)#5948.0(-30.0)#2,148
60.4771018.051.0(-33.0)#6048.0(-30.0)#2,160
61.4621618.051.0(-33.0)#6148.0(-30.0)#2,269
62.4651619.051.0(-32.0)#6248.0(-29.0)#2,340
63.4630419.051.0(-32.0)#6348.0(-29.0)#2,346
64.4637519.051.0(-32.0)#6448.0(-29.0)#2,355
65.4632119.051.0(-32.0)#6548.0(-29.0)#2,356
66.4717219.051.0(-32.0)#6648.0(-29.0)#2,368
67.4625019.051.0(-32.0)#6748.0(-29.0)#2,381
68.4791819.051.0(-32.0)#6848.0(-29.0)#2,449
69.4747119.051.0(-32.0)#6948.0(-29.0)#2,470
70.4787419.051.0(-32.0)#7048.0(-29.0)#2,481
71.4697819.051.0(-32.0)#7148.0(-29.0)#2,489
72.4605819.051.0(-32.0)#7248.0(-29.0)#2,493
73.4611519.051.0(-32.0)#7348.0(-29.0)#2,509
74.4764919.051.0(-32.0)#7448.0(-29.0)#2,513
75.4790620.051.0(-31.0)#7548.0(-28.0)#2,544
76.4627820.051.0(-31.0)#7648.0(-28.0)#2,657
77.4786820.051.0(-31.0)#7748.0(-28.0)#2,729
78.4703620.051.0(-31.0)#7848.0(-28.0)#2,762
79.4740121.051.0(-30.0)#7948.0(-27.0)#2,812
80.4672521.051.0(-30.0)#8048.0(-27.0)#2,848
81.4606421.051.0(-30.0)#8148.0(-27.0)#2,872
82.4780521.051.0(-30.0)#8248.0(-27.0)#2,894
83.4618421.051.0(-30.0)#8348.0(-27.0)#2,895
84.4701821.051.0(-30.0)#8448.0(-27.0)#2,959
85.4755821.051.0(-30.0)#8548.0(-27.0)#2,960
86.4691421.051.0(-30.0)#8648.0(-27.0)#2,978
87.4730521.051.0(-30.0)#8748.0(-27.0)#2,982
88.4615822.051.0(-29.0)#8848.0(-26.0)#3,103
89.4760122.051.0(-29.0)#8948.0(-26.0)#3,146
90.4606922.051.0(-29.0)#9048.0(-26.0)#3,190
91.4745222.051.0(-29.0)#9148.0(-26.0)#3,207
92.4771223.051.0(-28.0)#9248.0(-25.0)#3,358
93.4697523.051.0(-28.0)#9348.0(-25.0)#3,404
94.4676723.051.0(-28.0)#9448.0(-25.0)#3,424
95.4756723.051.0(-28.0)#9548.0(-25.0)#3,449
96.4677723.051.0(-28.0)#9648.0(-25.0)#3,452
97.4752023.051.0(-28.0)#9748.0(-25.0)#3,499
98.4694724.051.0(-27.0)#9848.0(-24.0)#3,620
99.4652824.051.0(-27.0)#9948.0(-24.0)#3,625
100.4740824.051.0(-27.0)#10048.0(-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.