Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Illinois

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Lowest 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
Illinois
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Illinois

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Illinois Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Illinois

Zip Code Births / 1,000 Women vs State vs National
1.612772.052.0(-50.0)#153.0(-51.0)#30
2.623403.052.0(-49.0)#253.0(-50.0)#77
3.610194.052.0(-48.0)#353.0(-49.0)#109
4.620874.052.0(-48.0)#453.0(-49.0)#126
5.622455.052.0(-47.0)#553.0(-48.0)#184
6.609595.052.0(-47.0)#653.0(-48.0)#201
7.628945.052.0(-47.0)#753.0(-48.0)#203
8.600126.052.0(-46.0)#853.0(-47.0)#214
9.610636.052.0(-46.0)#953.0(-47.0)#231
10.612816.052.0(-46.0)#1053.0(-47.0)#242
11.613146.052.0(-46.0)#1153.0(-47.0)#264
12.629576.052.0(-46.0)#1253.0(-47.0)#274
13.620156.052.0(-46.0)#1353.0(-47.0)#277
14.609487.052.0(-45.0)#1453.0(-46.0)#327
15.622858.052.0(-44.0)#1553.0(-45.0)#387
16.617368.052.0(-44.0)#1653.0(-45.0)#406
17.623608.052.0(-44.0)#1753.0(-45.0)#412
18.610018.052.0(-44.0)#1853.0(-45.0)#424
19.619338.052.0(-44.0)#1953.0(-45.0)#428
20.623788.052.0(-44.0)#2053.0(-45.0)#441
21.614559.052.0(-43.0)#2153.0(-44.0)#462
22.601199.052.0(-43.0)#2253.0(-44.0)#471
23.620979.052.0(-43.0)#2353.0(-44.0)#517
24.615709.052.0(-43.0)#2453.0(-44.0)#534
25.618419.052.0(-43.0)#2553.0(-44.0)#551
26.625519.052.0(-43.0)#2653.0(-44.0)#555
27.610159.052.0(-43.0)#2753.0(-44.0)#557
28.610499.052.0(-43.0)#2853.0(-44.0)#572
29.622389.052.0(-43.0)#2953.0(-44.0)#579
30.6048010.052.0(-42.0)#3053.0(-43.0)#615
31.6004010.052.0(-42.0)#3153.0(-43.0)#616
32.6134910.052.0(-42.0)#3253.0(-43.0)#674
33.6205110.052.0(-42.0)#3353.0(-43.0)#683
34.6205010.052.0(-42.0)#3453.0(-43.0)#702
35.6283211.052.0(-41.0)#3553.0(-42.0)#725
36.6254911.052.0(-41.0)#3653.0(-42.0)#745
37.6261511.052.0(-41.0)#3753.0(-42.0)#751
38.6146711.052.0(-41.0)#3853.0(-42.0)#800
39.6124211.052.0(-41.0)#3953.0(-42.0)#805
40.6144711.052.0(-41.0)#4053.0(-42.0)#806
41.6225511.052.0(-41.0)#4153.0(-42.0)#809
42.6246511.052.0(-41.0)#4253.0(-42.0)#812
43.6144011.052.0(-41.0)#4353.0(-42.0)#818
44.6185612.052.0(-40.0)#4453.0(-41.0)#867
45.6101612.052.0(-40.0)#4553.0(-41.0)#886
46.6188012.052.0(-40.0)#4653.0(-41.0)#889
47.6247612.052.0(-40.0)#4753.0(-41.0)#940
48.6146512.052.0(-40.0)#4853.0(-41.0)#943
49.6151612.052.0(-40.0)#4953.0(-41.0)#958
50.6266612.052.0(-40.0)#5053.0(-41.0)#967
51.6200612.052.0(-40.0)#5153.0(-41.0)#969
52.6155312.052.0(-40.0)#5253.0(-41.0)#975
53.6292013.052.0(-39.0)#5353.0(-40.0)#1,056
54.6137613.052.0(-39.0)#5453.0(-40.0)#1,074
55.6123513.052.0(-39.0)#5553.0(-40.0)#1,084
56.6132713.052.0(-39.0)#5653.0(-40.0)#1,088
57.6261113.052.0(-39.0)#5753.0(-40.0)#1,095
58.6265513.052.0(-39.0)#5853.0(-40.0)#1,110
59.6257213.052.0(-39.0)#5953.0(-40.0)#1,115
60.6202713.052.0(-39.0)#6053.0(-40.0)#1,116
61.6177313.052.0(-39.0)#6153.0(-40.0)#1,124
62.6184813.052.0(-39.0)#6253.0(-40.0)#1,125
63.6051414.052.0(-38.0)#6353.0(-39.0)#1,153
64.6282414.052.0(-38.0)#6453.0(-39.0)#1,222
65.6295614.052.0(-38.0)#6553.0(-39.0)#1,248
66.6156414.052.0(-38.0)#6653.0(-39.0)#1,255
67.6017215.052.0(-37.0)#6753.0(-38.0)#1,294
68.6204715.052.0(-37.0)#6853.0(-38.0)#1,417
69.6253415.052.0(-37.0)#6953.0(-38.0)#1,439
70.6221915.052.0(-37.0)#7053.0(-38.0)#1,441
71.6288015.052.0(-37.0)#7153.0(-38.0)#1,458
72.6224815.052.0(-37.0)#7253.0(-38.0)#1,463
73.6255315.052.0(-37.0)#7353.0(-38.0)#1,468
74.6152415.052.0(-37.0)#7453.0(-38.0)#1,469
75.6245116.052.0(-36.0)#7553.0(-37.0)#1,588
76.6241416.052.0(-36.0)#7753.0(-37.0)#1,595
77.6172516.052.0(-36.0)#7853.0(-37.0)#1,596
78.6235516.052.0(-36.0)#7953.0(-37.0)#1,617
79.6181116.052.0(-36.0)#8053.0(-37.0)#1,633
80.6201316.052.0(-36.0)#8153.0(-37.0)#1,635
81.6191716.052.0(-36.0)#8253.0(-37.0)#1,638
82.6030417.052.0(-35.0)#8353.0(-36.0)#1,664
83.6011817.052.0(-35.0)#8453.0(-36.0)#1,671
84.6156817.052.0(-35.0)#8553.0(-36.0)#1,721
85.6123817.052.0(-35.0)#8653.0(-36.0)#1,744
86.6106217.052.0(-35.0)#8753.0(-36.0)#1,764
87.6186517.052.0(-35.0)#8853.0(-36.0)#1,777
88.6123917.052.0(-35.0)#8953.0(-36.0)#1,784
89.6224117.052.0(-35.0)#9053.0(-36.0)#1,791
90.6145917.052.0(-35.0)#9153.0(-36.0)#1,811
91.6125418.052.0(-34.0)#9253.0(-35.0)#1,856
92.6299518.052.0(-34.0)#9353.0(-35.0)#1,881
93.6142718.052.0(-34.0)#9453.0(-35.0)#1,942
94.6221518.052.0(-34.0)#9553.0(-35.0)#1,943
95.6053718.052.0(-34.0)#9653.0(-35.0)#1,988
96.6042919.052.0(-33.0)#9753.0(-34.0)#2,039
97.6160719.052.0(-33.0)#9853.0(-34.0)#2,054
98.6191319.052.0(-33.0)#9953.0(-34.0)#2,158
99.6298519.052.0(-33.0)#10053.0(-34.0)#2,166
100.6191919.052.0(-33.0)#10153.0(-34.0)#2,176

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Illinois?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Illinois are:
#1
2.0
#2
3.0
#3
4.0
#4
4.0
#5
5.0
#6
5.0
#7
5.0
#8
6.0
#9
6.0
#10
6.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Illinois?
61277 has the Fewest Births per 1,000 Women Below Poverty Level in Illinois with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Illinois?
Number of Births per 1,000 Women Below Poverty Level in Illinois is 52.0.
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.