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. 61552 1,000.0 52.0 (+948)#1 53.0 (+947)#15
2. 60519 1,000.0 52.0 (+948)#2 53.0 (+947)#50
3. 62940 786.0 52.0 (+734)#3 53.0 (+733)#69
4. 62361 543.0 52.0 (+491)#4 53.0 (+490)#150
5. 62336 500.0 52.0 (+448)#5 53.0 (+447)#176
6. 61426 450.0 52.0 (+398)#6 53.0 (+397)#215
7. 62887 439.0 52.0 (+387)#7 53.0 (+386)#224
8. 62280 400.0 52.0 (+348)#8 53.0 (+347)#259
9. 62643 382.0 52.0 (+330)#9 53.0 (+329)#281
10. 61471 375.0 52.0 (+323)#10 53.0 (+322)#293
11. 60180 374.0 52.0 (+322)#11 53.0 (+321)#298
12. 61259 365.0 52.0 (+313)#12 53.0 (+312)#311
13. 61936 347.0 52.0 (+295)#13 53.0 (+294)#346
14. 62915 340.0 52.0 (+288)#14 53.0 (+287)#355
15. 61928 337.0 52.0 (+285)#15 53.0 (+284)#362
16. 61321 333.0 52.0 (+281)#16 53.0 (+280)#371
17. 61346 333.0 52.0 (+281)#17 53.0 (+280)#385
18. 61743 308.0 52.0 (+256)#18 53.0 (+255)#434
19. 61831 308.0 52.0 (+256)#19 53.0 (+255)#435
20. 61730 304.0 52.0 (+252)#20 53.0 (+251)#442
21. 61875 279.0 52.0 (+227)#21 53.0 (+226)#527
22. 61378 270.0 52.0 (+218)#22 53.0 (+217)#562
23. 61460 269.0 52.0 (+217)#23 53.0 (+216)#568
24. 62803 267.0 52.0 (+215)#24 53.0 (+214)#575
25. 62536 267.0 52.0 (+215)#25 53.0 (+214)#577
26. 61815 262.0 52.0 (+210)#26 53.0 (+209)#600
27. 62554 260.0 52.0 (+208)#27 53.0 (+207)#607
28. 62240 247.0 52.0 (+195)#28 53.0 (+194)#678
29. 62921 244.0 52.0 (+192)#29 53.0 (+191)#696
30. 62560 238.0 52.0 (+186)#30 53.0 (+185)#724
31. 61930 238.0 52.0 (+186)#31 53.0 (+185)#725
32. 62833 235.0 52.0 (+183)#32 53.0 (+182)#742
33. 61720 234.0 52.0 (+182)#33 53.0 (+181)#748
34. 61007 230.0 52.0 (+178)#34 53.0 (+177)#776
35. 61251 225.0 52.0 (+173)#35 53.0 (+172)#806
36. 61735 212.0 52.0 (+160)#36 53.0 (+159)#872
37. 61753 208.0 52.0 (+156)#37 53.0 (+155)#898
38. 60973 205.0 52.0 (+153)#38 53.0 (+152)#927
39. 62538 204.0 52.0 (+152)#39 53.0 (+151)#939
40. 62885 204.0 52.0 (+152)#40 53.0 (+151)#940
41. 62469 203.0 52.0 (+151)#41 53.0 (+150)#954
42. 61929 202.0 52.0 (+150)#42 53.0 (+149)#960
43. 62990 197.0 52.0 (+145)#43 53.0 (+144)#1,017
44. 60129 194.0 52.0 (+142)#44 53.0 (+141)#1,060
45. 61363 192.0 52.0 (+140)#45 53.0 (+139)#1,078
46. 61475 192.0 52.0 (+140)#46 53.0 (+139)#1,081
47. 62218 191.0 52.0 (+139)#47 53.0 (+138)#1,084
48. 62512 190.0 52.0 (+138)#48 53.0 (+137)#1,100
49. 62358 184.0 52.0 (+132)#49 53.0 (+131)#1,176
50. 62089 182.0 52.0 (+130)#50 53.0 (+129)#1,195
51. 62380 182.0 52.0 (+130)#51 53.0 (+129)#1,196
52. 62544 181.0 52.0 (+129)#52 53.0 (+128)#1,206
53. 61747 180.0 52.0 (+128)#53 53.0 (+127)#1,211
54. 60113 179.0 52.0 (+127)#54 53.0 (+126)#1,234
55. 61770 178.0 52.0 (+126)#55 53.0 (+125)#1,243
56. 61038 175.0 52.0 (+123)#56 53.0 (+122)#1,283
57. 60911 171.0 52.0 (+119)#57 53.0 (+118)#1,350
58. 62214 170.0 52.0 (+118)#58 53.0 (+117)#1,369
59. 60935 168.0 52.0 (+116)#59 53.0 (+115)#1,405
60. 61413 168.0 52.0 (+116)#60 53.0 (+115)#1,409
61. 61539 167.0 52.0 (+115)#61 53.0 (+114)#1,450
62. 62459 164.0 52.0 (+112)#62 53.0 (+111)#1,491
63. 60511 163.0 52.0 (+111)#63 53.0 (+110)#1,496
64. 61367 163.0 52.0 (+111)#64 53.0 (+110)#1,502
65. 62661 162.0 52.0 (+110)#65 53.0 (+109)#1,521
66. 62446 161.0 52.0 (+109)#66 53.0 (+108)#1,544
67. 62366 160.0 52.0 (+108)#67 53.0 (+107)#1,555
68. 60422 158.0 52.0 (+106)#68 53.0 (+105)#1,587
69. 62292 158.0 52.0 (+106)#69 53.0 (+105)#1,602
70. 61320 156.0 52.0 (+104)#70 53.0 (+103)#1,638
71. 62353 154.0 52.0 (+102)#71 53.0 (+101)#1,658
72. 61911 154.0 52.0 (+102)#72 53.0 (+101)#1,659
73. 60437 154.0 52.0 (+102)#73 53.0 (+101)#1,676
74. 62996 153.0 52.0 (+101)#74 53.0 (+100.0)#1,691
75. 62375 152.0 52.0 (+100.0)#75 53.0 (+99.0)#1,714
76. 62419 152.0 52.0 (+100.0)#76 53.0 (+99.0)#1,718
77. 62281 151.0 52.0 (+99.0)#77 53.0 (+98.0)#1,726
78. 62856 151.0 52.0 (+99.0)#78 53.0 (+98.0)#1,739
79. 62028 150.0 52.0 (+98.0)#79 53.0 (+97.0)#1,752
80. 62853 148.0 52.0 (+96.0)#80 53.0 (+95.0)#1,795
81. 62640 147.0 52.0 (+95.0)#81 53.0 (+94.0)#1,809
82. 62897 147.0 52.0 (+95.0)#82 53.0 (+94.0)#1,823
83. 61337 147.0 52.0 (+95.0)#83 53.0 (+94.0)#1,824
84. 61818 146.0 52.0 (+94.0)#84 53.0 (+93.0)#1,835
85. 61775 146.0 52.0 (+94.0)#85 53.0 (+93.0)#1,850
86. 61372 145.0 52.0 (+93.0)#86 53.0 (+92.0)#1,877
87. 62206 144.0 52.0 (+92.0)#87 53.0 (+91.0)#1,880
88. 62823 144.0 52.0 (+92.0)#88 53.0 (+91.0)#1,891
89. 62424 143.0 52.0 (+91.0)#89 53.0 (+90.0)#1,916
90. 61258 143.0 52.0 (+91.0)#90 53.0 (+90.0)#1,933
91. 62205 141.0 52.0 (+89.0)#91 53.0 (+88.0)#1,963
92. 61414 140.0 52.0 (+88.0)#92 53.0 (+87.0)#1,999
93. 62418 138.0 52.0 (+86.0)#93 53.0 (+85.0)#2,059
94. 61451 138.0 52.0 (+86.0)#94 53.0 (+85.0)#2,079
95. 62001 137.0 52.0 (+85.0)#95 53.0 (+84.0)#2,090
96. 61377 137.0 52.0 (+85.0)#96 53.0 (+84.0)#2,096
97. 61478 136.0 52.0 (+84.0)#97 53.0 (+83.0)#2,137
98. 61270 134.0 52.0 (+82.0)#98 53.0 (+81.0)#2,188
99. 61078 134.0 52.0 (+82.0)#99 53.0 (+81.0)#2,201
100. 61472 134.0 52.0 (+82.0)#100 53.0 (+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.