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. 61277 2.0 52.0 (-50.0)#1 53.0 (-51.0)#30
2. 62340 3.0 52.0 (-49.0)#2 53.0 (-50.0)#77
3. 61019 4.0 52.0 (-48.0)#3 53.0 (-49.0)#109
4. 62087 4.0 52.0 (-48.0)#4 53.0 (-49.0)#126
5. 62245 5.0 52.0 (-47.0)#5 53.0 (-48.0)#184
6. 60959 5.0 52.0 (-47.0)#6 53.0 (-48.0)#201
7. 62894 5.0 52.0 (-47.0)#7 53.0 (-48.0)#203
8. 60012 6.0 52.0 (-46.0)#8 53.0 (-47.0)#214
9. 61063 6.0 52.0 (-46.0)#9 53.0 (-47.0)#231
10. 61281 6.0 52.0 (-46.0)#10 53.0 (-47.0)#242
11. 61314 6.0 52.0 (-46.0)#11 53.0 (-47.0)#264
12. 62957 6.0 52.0 (-46.0)#12 53.0 (-47.0)#274
13. 62015 6.0 52.0 (-46.0)#13 53.0 (-47.0)#277
14. 60948 7.0 52.0 (-45.0)#14 53.0 (-46.0)#327
15. 62285 8.0 52.0 (-44.0)#15 53.0 (-45.0)#387
16. 61736 8.0 52.0 (-44.0)#16 53.0 (-45.0)#406
17. 62360 8.0 52.0 (-44.0)#17 53.0 (-45.0)#412
18. 61001 8.0 52.0 (-44.0)#18 53.0 (-45.0)#424
19. 61933 8.0 52.0 (-44.0)#19 53.0 (-45.0)#428
20. 62378 8.0 52.0 (-44.0)#20 53.0 (-45.0)#441
21. 61455 9.0 52.0 (-43.0)#21 53.0 (-44.0)#462
22. 60119 9.0 52.0 (-43.0)#22 53.0 (-44.0)#471
23. 62097 9.0 52.0 (-43.0)#23 53.0 (-44.0)#517
24. 61570 9.0 52.0 (-43.0)#24 53.0 (-44.0)#534
25. 61841 9.0 52.0 (-43.0)#25 53.0 (-44.0)#551
26. 62551 9.0 52.0 (-43.0)#26 53.0 (-44.0)#555
27. 61015 9.0 52.0 (-43.0)#27 53.0 (-44.0)#557
28. 61049 9.0 52.0 (-43.0)#28 53.0 (-44.0)#572
29. 62238 9.0 52.0 (-43.0)#29 53.0 (-44.0)#579
30. 60480 10.0 52.0 (-42.0)#30 53.0 (-43.0)#615
31. 60040 10.0 52.0 (-42.0)#31 53.0 (-43.0)#616
32. 61349 10.0 52.0 (-42.0)#32 53.0 (-43.0)#674
33. 62051 10.0 52.0 (-42.0)#33 53.0 (-43.0)#683
34. 62050 10.0 52.0 (-42.0)#34 53.0 (-43.0)#702
35. 62832 11.0 52.0 (-41.0)#35 53.0 (-42.0)#725
36. 62549 11.0 52.0 (-41.0)#36 53.0 (-42.0)#745
37. 62615 11.0 52.0 (-41.0)#37 53.0 (-42.0)#751
38. 61467 11.0 52.0 (-41.0)#38 53.0 (-42.0)#800
39. 61242 11.0 52.0 (-41.0)#39 53.0 (-42.0)#805
40. 61447 11.0 52.0 (-41.0)#40 53.0 (-42.0)#806
41. 62255 11.0 52.0 (-41.0)#41 53.0 (-42.0)#809
42. 62465 11.0 52.0 (-41.0)#42 53.0 (-42.0)#812
43. 61440 11.0 52.0 (-41.0)#43 53.0 (-42.0)#818
44. 61856 12.0 52.0 (-40.0)#44 53.0 (-41.0)#867
45. 61016 12.0 52.0 (-40.0)#45 53.0 (-41.0)#886
46. 61880 12.0 52.0 (-40.0)#46 53.0 (-41.0)#889
47. 62476 12.0 52.0 (-40.0)#47 53.0 (-41.0)#940
48. 61465 12.0 52.0 (-40.0)#48 53.0 (-41.0)#943
49. 61516 12.0 52.0 (-40.0)#49 53.0 (-41.0)#958
50. 62666 12.0 52.0 (-40.0)#50 53.0 (-41.0)#967
51. 62006 12.0 52.0 (-40.0)#51 53.0 (-41.0)#969
52. 61553 12.0 52.0 (-40.0)#52 53.0 (-41.0)#975
53. 62920 13.0 52.0 (-39.0)#53 53.0 (-40.0)#1,056
54. 61376 13.0 52.0 (-39.0)#54 53.0 (-40.0)#1,074
55. 61235 13.0 52.0 (-39.0)#55 53.0 (-40.0)#1,084
56. 61327 13.0 52.0 (-39.0)#56 53.0 (-40.0)#1,088
57. 62611 13.0 52.0 (-39.0)#57 53.0 (-40.0)#1,095
58. 62655 13.0 52.0 (-39.0)#58 53.0 (-40.0)#1,110
59. 62572 13.0 52.0 (-39.0)#59 53.0 (-40.0)#1,115
60. 62027 13.0 52.0 (-39.0)#60 53.0 (-40.0)#1,116
61. 61773 13.0 52.0 (-39.0)#61 53.0 (-40.0)#1,124
62. 61848 13.0 52.0 (-39.0)#62 53.0 (-40.0)#1,125
63. 60514 14.0 52.0 (-38.0)#63 53.0 (-39.0)#1,153
64. 62824 14.0 52.0 (-38.0)#64 53.0 (-39.0)#1,222
65. 62956 14.0 52.0 (-38.0)#65 53.0 (-39.0)#1,248
66. 61564 14.0 52.0 (-38.0)#66 53.0 (-39.0)#1,255
67. 60172 15.0 52.0 (-37.0)#67 53.0 (-38.0)#1,294
68. 62047 15.0 52.0 (-37.0)#68 53.0 (-38.0)#1,417
69. 62534 15.0 52.0 (-37.0)#69 53.0 (-38.0)#1,439
70. 62219 15.0 52.0 (-37.0)#70 53.0 (-38.0)#1,441
71. 62880 15.0 52.0 (-37.0)#71 53.0 (-38.0)#1,458
72. 62248 15.0 52.0 (-37.0)#72 53.0 (-38.0)#1,463
73. 62553 15.0 52.0 (-37.0)#73 53.0 (-38.0)#1,468
74. 61524 15.0 52.0 (-37.0)#74 53.0 (-38.0)#1,469
75. 62451 16.0 52.0 (-36.0)#75 53.0 (-37.0)#1,588
76. 62414 16.0 52.0 (-36.0)#77 53.0 (-37.0)#1,595
77. 61725 16.0 52.0 (-36.0)#78 53.0 (-37.0)#1,596
78. 62355 16.0 52.0 (-36.0)#79 53.0 (-37.0)#1,617
79. 61811 16.0 52.0 (-36.0)#80 53.0 (-37.0)#1,633
80. 62013 16.0 52.0 (-36.0)#81 53.0 (-37.0)#1,635
81. 61917 16.0 52.0 (-36.0)#82 53.0 (-37.0)#1,638
82. 60304 17.0 52.0 (-35.0)#83 53.0 (-36.0)#1,664
83. 60118 17.0 52.0 (-35.0)#84 53.0 (-36.0)#1,671
84. 61568 17.0 52.0 (-35.0)#85 53.0 (-36.0)#1,721
85. 61238 17.0 52.0 (-35.0)#86 53.0 (-36.0)#1,744
86. 61062 17.0 52.0 (-35.0)#87 53.0 (-36.0)#1,764
87. 61865 17.0 52.0 (-35.0)#88 53.0 (-36.0)#1,777
88. 61239 17.0 52.0 (-35.0)#89 53.0 (-36.0)#1,784
89. 62241 17.0 52.0 (-35.0)#90 53.0 (-36.0)#1,791
90. 61459 17.0 52.0 (-35.0)#91 53.0 (-36.0)#1,811
91. 61254 18.0 52.0 (-34.0)#92 53.0 (-35.0)#1,856
92. 62995 18.0 52.0 (-34.0)#93 53.0 (-35.0)#1,881
93. 61427 18.0 52.0 (-34.0)#94 53.0 (-35.0)#1,942
94. 62215 18.0 52.0 (-34.0)#95 53.0 (-35.0)#1,943
95. 60537 18.0 52.0 (-34.0)#96 53.0 (-35.0)#1,988
96. 60429 19.0 52.0 (-33.0)#97 53.0 (-34.0)#2,039
97. 61607 19.0 52.0 (-33.0)#98 53.0 (-34.0)#2,054
98. 61913 19.0 52.0 (-33.0)#99 53.0 (-34.0)#2,158
99. 62985 19.0 52.0 (-33.0)#100 53.0 (-34.0)#2,166
100. 61919 19.0 52.0 (-33.0)#101 53.0 (-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.