Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Indiana

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Highest Birth Rate | Below Poverty
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 Below Poverty Level in Indiana

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400.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Indiana Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Indiana

Zip Code Births / 1,000 Women vs State vs National
1.46345333.056.0(+277)#153.0(+280)#383
2.46930316.056.0(+260)#253.0(+263)#408
3.46913288.056.0(+232)#353.0(+235)#490
4.46980265.056.0(+209)#453.0(+212)#588
5.47231256.056.0(+200)#553.0(+203)#628
6.46939232.056.0(+176)#653.0(+179)#756
7.47524232.056.0(+176)#753.0(+179)#760
8.46149221.056.0(+165)#853.0(+168)#831
9.46374212.056.0(+156)#953.0(+159)#870
10.47438205.056.0(+149)#1053.0(+152)#920
11.47562199.056.0(+143)#1153.0(+146)#996
12.47855194.056.0(+138)#1253.0(+141)#1,052
13.46781194.056.0(+138)#1353.0(+141)#1,053
14.46788190.056.0(+134)#1453.0(+137)#1,090
15.47264190.056.0(+134)#1553.0(+137)#1,092
16.46798185.056.0(+129)#1653.0(+132)#1,164
17.46186182.056.0(+126)#1753.0(+129)#1,190
18.47030182.056.0(+126)#1853.0(+129)#1,191
19.47223174.056.0(+118)#1953.0(+121)#1,304
20.47393173.056.0(+117)#2053.0(+120)#1,317
21.47575173.056.0(+117)#2153.0(+120)#1,318
22.46150171.056.0(+115)#2253.0(+118)#1,354
23.46346168.056.0(+112)#2353.0(+115)#1,404
24.46985168.056.0(+112)#2453.0(+115)#1,407
25.47535168.056.0(+112)#2553.0(+115)#1,413
26.46111168.056.0(+112)#2653.0(+115)#1,414
27.47633166.056.0(+110)#2753.0(+113)#1,461
28.47163160.056.0(+104)#2853.0(+107)#1,560
29.47142159.056.0(+103)#2953.0(+106)#1,579
30.46349155.056.0(+99.0)#3053.0(+102)#1,643
31.47125155.056.0(+99.0)#3153.0(+102)#1,649
32.47003152.056.0(+96.0)#3253.0(+99.0)#1,710
33.47341150.056.0(+94.0)#3353.0(+97.0)#1,744
34.46772149.056.0(+93.0)#3453.0(+96.0)#1,765
35.46542148.056.0(+92.0)#3553.0(+95.0)#1,784
36.46118145.056.0(+89.0)#3653.0(+92.0)#1,858
37.47043143.056.0(+87.0)#3753.0(+90.0)#1,908
38.47838142.056.0(+86.0)#3853.0(+89.0)#1,944
39.47340142.056.0(+86.0)#3953.0(+89.0)#1,946
40.46732141.056.0(+85.0)#4053.0(+88.0)#1,969
41.47995141.056.0(+85.0)#4153.0(+88.0)#1,971
42.47469140.056.0(+84.0)#4253.0(+87.0)#1,991
43.47943138.056.0(+82.0)#4353.0(+85.0)#2,068
44.46759138.056.0(+82.0)#4453.0(+85.0)#2,076
45.47917137.056.0(+81.0)#4553.0(+84.0)#2,103
46.47639136.056.0(+80.0)#4653.0(+83.0)#2,114
47.47992136.056.0(+80.0)#4753.0(+83.0)#2,127
48.47369134.056.0(+78.0)#4853.0(+81.0)#2,200
49.46711133.056.0(+77.0)#4953.0(+80.0)#2,216
50.47023132.056.0(+76.0)#5053.0(+79.0)#2,263
51.46745129.056.0(+73.0)#5153.0(+76.0)#2,368
52.47955128.056.0(+72.0)#5253.0(+75.0)#2,418
53.47471127.056.0(+71.0)#5353.0(+74.0)#2,438
54.47872125.056.0(+69.0)#5453.0(+72.0)#2,504
55.46761123.056.0(+67.0)#5553.0(+70.0)#2,602
56.47613123.056.0(+67.0)#5653.0(+70.0)#2,612
57.47966123.056.0(+67.0)#5753.0(+70.0)#2,643
58.47616123.056.0(+67.0)#5853.0(+70.0)#2,645
59.47118122.056.0(+66.0)#5953.0(+69.0)#2,660
60.46784121.056.0(+65.0)#6053.0(+68.0)#2,714
61.47141121.056.0(+65.0)#6153.0(+68.0)#2,715
62.46733120.056.0(+64.0)#6253.0(+67.0)#2,734
63.47371120.056.0(+64.0)#6353.0(+67.0)#2,736
64.47037118.056.0(+62.0)#6453.0(+65.0)#2,814
65.47012117.056.0(+61.0)#6553.0(+64.0)#2,874
66.46742117.056.0(+61.0)#6653.0(+64.0)#2,887
67.47989117.056.0(+61.0)#6753.0(+64.0)#2,898
68.47424115.056.0(+59.0)#6853.0(+62.0)#2,968
69.47881114.056.0(+58.0)#6953.0(+61.0)#3,064
70.46802112.056.0(+56.0)#7053.0(+59.0)#3,125
71.47949112.056.0(+56.0)#7153.0(+59.0)#3,157
72.46407111.056.0(+55.0)#7253.0(+58.0)#3,186
73.47394110.056.0(+54.0)#7353.0(+57.0)#3,260
74.47952110.056.0(+54.0)#7453.0(+57.0)#3,281
75.47568110.056.0(+54.0)#7553.0(+57.0)#3,300
76.47224110.056.0(+54.0)#7653.0(+57.0)#3,305
77.46915109.056.0(+53.0)#7753.0(+56.0)#3,343
78.46327108.056.0(+52.0)#7853.0(+55.0)#3,373
79.46740108.056.0(+52.0)#7953.0(+55.0)#3,391
80.47832108.056.0(+52.0)#8053.0(+55.0)#3,412
81.47921106.056.0(+50.0)#8153.0(+53.0)#3,552
82.47460105.056.0(+49.0)#8253.0(+52.0)#3,577
83.47164105.056.0(+49.0)#8353.0(+52.0)#3,597
84.47859105.056.0(+49.0)#8453.0(+52.0)#3,620
85.46076104.056.0(+48.0)#8553.0(+51.0)#3,679
86.46543103.056.0(+47.0)#8653.0(+50.0)#3,732
87.47513103.056.0(+47.0)#8753.0(+50.0)#3,754
88.46540102.056.0(+46.0)#8853.0(+49.0)#3,796
89.46392102.056.0(+46.0)#8953.0(+49.0)#3,803
90.46168101.056.0(+45.0)#9053.0(+48.0)#3,860
91.46544101.056.0(+45.0)#9153.0(+48.0)#3,862
92.46791101.056.0(+45.0)#9253.0(+48.0)#3,904
93.47384100.056.0(+44.0)#9353.0(+47.0)#3,966
94.47928100.056.0(+44.0)#9453.0(+47.0)#3,976
95.46182100.056.0(+44.0)#9553.0(+47.0)#3,977
96.47436100.056.0(+44.0)#9653.0(+47.0)#3,978
97.46957100.056.0(+44.0)#9753.0(+47.0)#4,004
98.4717099.056.0(+43.0)#9853.0(+46.0)#4,029
99.4763199.056.0(+43.0)#9953.0(+46.0)#4,066
100.4727399.056.0(+43.0)#10053.0(+46.0)#4,067

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Indiana?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Indiana are:
#1
333.0
#2
316.0
#3
288.0
#4
265.0
#5
256.0
#6
232.0
#7
232.0
#8
221.0
#9
212.0
#10
205.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Indiana?
46345 has the Most Births per 1,000 Women Below Poverty Level in Indiana with 333.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Indiana?
Number of Births per 1,000 Women Below Poverty Level in Indiana is 56.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.