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

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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
Illinois
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Illinois Map

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

Zip Code Births / 1,000 Women vs State vs National
1.615521,000.052.0(+948)#153.0(+947)#15
2.605191,000.052.0(+948)#253.0(+947)#50
3.62940786.052.0(+734)#353.0(+733)#69
4.62361543.052.0(+491)#453.0(+490)#150
5.62336500.052.0(+448)#553.0(+447)#176
6.61426450.052.0(+398)#653.0(+397)#215
7.62887439.052.0(+387)#753.0(+386)#224
8.62280400.052.0(+348)#853.0(+347)#259
9.62643382.052.0(+330)#953.0(+329)#281
10.61471375.052.0(+323)#1053.0(+322)#293
11.60180374.052.0(+322)#1153.0(+321)#298
12.61259365.052.0(+313)#1253.0(+312)#311
13.61936347.052.0(+295)#1353.0(+294)#346
14.62915340.052.0(+288)#1453.0(+287)#355
15.61928337.052.0(+285)#1553.0(+284)#362
16.61321333.052.0(+281)#1653.0(+280)#371
17.61346333.052.0(+281)#1753.0(+280)#385
18.61743308.052.0(+256)#1853.0(+255)#434
19.61831308.052.0(+256)#1953.0(+255)#435
20.61730304.052.0(+252)#2053.0(+251)#442
21.61875279.052.0(+227)#2153.0(+226)#527
22.61378270.052.0(+218)#2253.0(+217)#562
23.61460269.052.0(+217)#2353.0(+216)#568
24.62803267.052.0(+215)#2453.0(+214)#575
25.62536267.052.0(+215)#2553.0(+214)#577
26.61815262.052.0(+210)#2653.0(+209)#600
27.62554260.052.0(+208)#2753.0(+207)#607
28.62240247.052.0(+195)#2853.0(+194)#678
29.62921244.052.0(+192)#2953.0(+191)#696
30.62560238.052.0(+186)#3053.0(+185)#724
31.61930238.052.0(+186)#3153.0(+185)#725
32.62833235.052.0(+183)#3253.0(+182)#742
33.61720234.052.0(+182)#3353.0(+181)#748
34.61007230.052.0(+178)#3453.0(+177)#776
35.61251225.052.0(+173)#3553.0(+172)#806
36.61735212.052.0(+160)#3653.0(+159)#872
37.61753208.052.0(+156)#3753.0(+155)#898
38.60973205.052.0(+153)#3853.0(+152)#927
39.62538204.052.0(+152)#3953.0(+151)#939
40.62885204.052.0(+152)#4053.0(+151)#940
41.62469203.052.0(+151)#4153.0(+150)#954
42.61929202.052.0(+150)#4253.0(+149)#960
43.62990197.052.0(+145)#4353.0(+144)#1,017
44.60129194.052.0(+142)#4453.0(+141)#1,060
45.61363192.052.0(+140)#4553.0(+139)#1,078
46.61475192.052.0(+140)#4653.0(+139)#1,081
47.62218191.052.0(+139)#4753.0(+138)#1,084
48.62512190.052.0(+138)#4853.0(+137)#1,100
49.62358184.052.0(+132)#4953.0(+131)#1,176
50.62089182.052.0(+130)#5053.0(+129)#1,195
51.62380182.052.0(+130)#5153.0(+129)#1,196
52.62544181.052.0(+129)#5253.0(+128)#1,206
53.61747180.052.0(+128)#5353.0(+127)#1,211
54.60113179.052.0(+127)#5453.0(+126)#1,234
55.61770178.052.0(+126)#5553.0(+125)#1,243
56.61038175.052.0(+123)#5653.0(+122)#1,283
57.60911171.052.0(+119)#5753.0(+118)#1,350
58.62214170.052.0(+118)#5853.0(+117)#1,369
59.60935168.052.0(+116)#5953.0(+115)#1,405
60.61413168.052.0(+116)#6053.0(+115)#1,409
61.61539167.052.0(+115)#6153.0(+114)#1,450
62.62459164.052.0(+112)#6253.0(+111)#1,491
63.60511163.052.0(+111)#6353.0(+110)#1,496
64.61367163.052.0(+111)#6453.0(+110)#1,502
65.62661162.052.0(+110)#6553.0(+109)#1,521
66.62446161.052.0(+109)#6653.0(+108)#1,544
67.62366160.052.0(+108)#6753.0(+107)#1,555
68.60422158.052.0(+106)#6853.0(+105)#1,587
69.62292158.052.0(+106)#6953.0(+105)#1,602
70.61320156.052.0(+104)#7053.0(+103)#1,638
71.62353154.052.0(+102)#7153.0(+101)#1,658
72.61911154.052.0(+102)#7253.0(+101)#1,659
73.60437154.052.0(+102)#7353.0(+101)#1,676
74.62996153.052.0(+101)#7453.0(+100.0)#1,691
75.62375152.052.0(+100.0)#7553.0(+99.0)#1,714
76.62419152.052.0(+100.0)#7653.0(+99.0)#1,718
77.62281151.052.0(+99.0)#7753.0(+98.0)#1,726
78.62856151.052.0(+99.0)#7853.0(+98.0)#1,739
79.62028150.052.0(+98.0)#7953.0(+97.0)#1,752
80.62853148.052.0(+96.0)#8053.0(+95.0)#1,795
81.62640147.052.0(+95.0)#8153.0(+94.0)#1,809
82.62897147.052.0(+95.0)#8253.0(+94.0)#1,823
83.61337147.052.0(+95.0)#8353.0(+94.0)#1,824
84.61818146.052.0(+94.0)#8453.0(+93.0)#1,835
85.61775146.052.0(+94.0)#8553.0(+93.0)#1,850
86.61372145.052.0(+93.0)#8653.0(+92.0)#1,877
87.62206144.052.0(+92.0)#8753.0(+91.0)#1,880
88.62823144.052.0(+92.0)#8853.0(+91.0)#1,891
89.62424143.052.0(+91.0)#8953.0(+90.0)#1,916
90.61258143.052.0(+91.0)#9053.0(+90.0)#1,933
91.62205141.052.0(+89.0)#9153.0(+88.0)#1,963
92.61414140.052.0(+88.0)#9253.0(+87.0)#1,999
93.62418138.052.0(+86.0)#9353.0(+85.0)#2,059
94.61451138.052.0(+86.0)#9453.0(+85.0)#2,079
95.62001137.052.0(+85.0)#9553.0(+84.0)#2,090
96.61377137.052.0(+85.0)#9653.0(+84.0)#2,096
97.61478136.052.0(+84.0)#9753.0(+83.0)#2,137
98.61270134.052.0(+82.0)#9853.0(+81.0)#2,188
99.61078134.052.0(+82.0)#9953.0(+81.0)#2,201
100.61472134.052.0(+82.0)#10053.0(+81.0)#2,208

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Illinois?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Illinois are:
#1
1,000.0
#2
1,000.0
#3
786.0
#4
543.0
#5
500.0
#6
450.0
#7
439.0
#8
400.0
#9
382.0
#10
375.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Illinois?
61552 has the Most Births per 1,000 Women Below Poverty Level in Illinois with 1,000.0.
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.