Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Illinois

RELATED REPORTS & OPTIONS

Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in Illinois

20.0
0.0
Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Illinois Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Illinois

Zip Code Births / 1,000 Women vs State vs National
1. 62808 3.0 49.0 (-46.0)#1 48.0 (-45.0)#87
2. 62205 4.0 49.0 (-45.0)#2 48.0 (-44.0)#121
3. 60940 4.0 49.0 (-45.0)#3 48.0 (-44.0)#143
4. 61362 5.0 49.0 (-44.0)#4 48.0 (-43.0)#193
5. 62340 5.0 49.0 (-44.0)#5 48.0 (-43.0)#224
6. 61368 5.0 49.0 (-44.0)#6 48.0 (-43.0)#230
7. 60429 6.0 49.0 (-43.0)#7 48.0 (-42.0)#245
8. 60472 6.0 49.0 (-43.0)#8 48.0 (-42.0)#265
9. 61019 6.0 49.0 (-43.0)#9 48.0 (-42.0)#274
10. 60501 7.0 49.0 (-42.0)#10 48.0 (-41.0)#330
11. 61858 7.0 49.0 (-42.0)#11 48.0 (-41.0)#376
12. 61015 7.0 49.0 (-42.0)#12 48.0 (-41.0)#400
13. 60012 8.0 49.0 (-41.0)#13 48.0 (-40.0)#433
14. 62859 8.0 49.0 (-41.0)#14 48.0 (-40.0)#467
15. 61062 8.0 49.0 (-41.0)#15 48.0 (-40.0)#519
16. 60948 8.0 49.0 (-41.0)#16 48.0 (-40.0)#522
17. 62245 8.0 49.0 (-41.0)#17 48.0 (-40.0)#523
18. 61361 8.0 49.0 (-41.0)#18 48.0 (-40.0)#528
19. 62628 8.0 49.0 (-41.0)#19 48.0 (-40.0)#542
20. 60088 9.0 49.0 (-40.0)#20 48.0 (-39.0)#567
21. 62835 9.0 49.0 (-40.0)#21 48.0 (-39.0)#652
22. 62015 9.0 49.0 (-40.0)#22 48.0 (-39.0)#670
23. 60172 10.0 49.0 (-39.0)#23 48.0 (-38.0)#682
24. 61455 10.0 49.0 (-39.0)#24 48.0 (-38.0)#690
25. 60417 10.0 49.0 (-39.0)#25 48.0 (-38.0)#700
26. 61065 10.0 49.0 (-39.0)#26 48.0 (-38.0)#715
27. 60915 10.0 49.0 (-39.0)#27 48.0 (-38.0)#718
28. 61036 10.0 49.0 (-39.0)#28 48.0 (-38.0)#743
29. 62285 10.0 49.0 (-39.0)#29 48.0 (-38.0)#759
30. 61734 10.0 49.0 (-39.0)#30 48.0 (-38.0)#784
31. 60921 10.0 49.0 (-39.0)#31 48.0 (-38.0)#798
32. 61330 10.0 49.0 (-39.0)#32 48.0 (-38.0)#805
33. 61933 10.0 49.0 (-39.0)#33 48.0 (-38.0)#809
34. 62378 10.0 49.0 (-39.0)#34 48.0 (-38.0)#821
35. 61418 10.0 49.0 (-39.0)#35 48.0 (-38.0)#827
36. 62050 10.0 49.0 (-39.0)#36 48.0 (-38.0)#832
37. 60131 11.0 49.0 (-38.0)#37 48.0 (-37.0)#846
38. 60176 11.0 49.0 (-38.0)#38 48.0 (-37.0)#860
39. 60119 11.0 49.0 (-38.0)#39 48.0 (-37.0)#865
40. 60408 11.0 49.0 (-38.0)#40 48.0 (-37.0)#901
41. 62920 11.0 49.0 (-38.0)#41 48.0 (-37.0)#937
42. 61736 11.0 49.0 (-38.0)#42 48.0 (-37.0)#945
43. 62912 11.0 49.0 (-38.0)#43 48.0 (-37.0)#961
44. 62611 11.0 49.0 (-38.0)#44 48.0 (-37.0)#976
45. 61777 11.0 49.0 (-38.0)#45 48.0 (-37.0)#977
46. 62810 11.0 49.0 (-38.0)#46 48.0 (-37.0)#978
47. 62977 11.0 49.0 (-38.0)#47 48.0 (-37.0)#990
48. 60173 12.0 49.0 (-37.0)#48 48.0 (-36.0)#1,028
49. 60040 12.0 49.0 (-37.0)#49 48.0 (-36.0)#1,080
50. 62097 12.0 49.0 (-37.0)#50 48.0 (-36.0)#1,110
51. 60466 13.0 49.0 (-36.0)#51 48.0 (-35.0)#1,180
52. 62629 13.0 49.0 (-36.0)#52 48.0 (-35.0)#1,203
53. 62258 13.0 49.0 (-36.0)#53 48.0 (-35.0)#1,217
54. 60401 13.0 49.0 (-36.0)#54 48.0 (-35.0)#1,233
55. 62549 13.0 49.0 (-36.0)#55 48.0 (-35.0)#1,240
56. 61880 13.0 49.0 (-36.0)#56 48.0 (-35.0)#1,264
57. 61570 13.0 49.0 (-36.0)#57 48.0 (-35.0)#1,312
58. 62048 13.0 49.0 (-36.0)#58 48.0 (-35.0)#1,313
59. 61841 13.0 49.0 (-36.0)#59 48.0 (-35.0)#1,322
60. 62465 13.0 49.0 (-36.0)#60 48.0 (-35.0)#1,329
61. 62630 13.0 49.0 (-36.0)#61 48.0 (-35.0)#1,336
62. 62006 13.0 49.0 (-36.0)#62 48.0 (-35.0)#1,344
63. 61016 14.0 49.0 (-35.0)#63 48.0 (-34.0)#1,436
64. 62069 14.0 49.0 (-35.0)#64 48.0 (-34.0)#1,463
65. 61376 14.0 49.0 (-35.0)#65 48.0 (-34.0)#1,486
66. 61001 14.0 49.0 (-35.0)#66 48.0 (-34.0)#1,506
67. 61465 14.0 49.0 (-35.0)#67 48.0 (-34.0)#1,507
68. 61242 14.0 49.0 (-35.0)#68 48.0 (-34.0)#1,510
69. 62688 14.0 49.0 (-35.0)#69 48.0 (-34.0)#1,518
70. 61440 14.0 49.0 (-35.0)#70 48.0 (-34.0)#1,521
71. 61101 15.0 49.0 (-34.0)#71 48.0 (-33.0)#1,557
72. 62832 15.0 49.0 (-34.0)#72 48.0 (-33.0)#1,598
73. 62615 15.0 49.0 (-34.0)#73 48.0 (-33.0)#1,628
74. 61074 15.0 49.0 (-34.0)#74 48.0 (-33.0)#1,635
75. 61410 15.0 49.0 (-34.0)#75 48.0 (-33.0)#1,642
76. 62558 15.0 49.0 (-34.0)#76 48.0 (-33.0)#1,646
77. 62922 15.0 49.0 (-34.0)#77 48.0 (-33.0)#1,656
78. 60043 15.0 49.0 (-34.0)#78 48.0 (-33.0)#1,666
79. 62838 15.0 49.0 (-34.0)#79 48.0 (-33.0)#1,691
80. 62476 15.0 49.0 (-34.0)#80 48.0 (-33.0)#1,696
81. 61912 15.0 49.0 (-34.0)#81 48.0 (-33.0)#1,704
82. 62572 15.0 49.0 (-34.0)#82 48.0 (-33.0)#1,719
83. 62238 15.0 49.0 (-34.0)#83 48.0 (-33.0)#1,720
84. 62027 15.0 49.0 (-34.0)#84 48.0 (-33.0)#1,721
85. 62666 15.0 49.0 (-34.0)#85 48.0 (-33.0)#1,722
86. 61241 16.0 49.0 (-33.0)#86 48.0 (-32.0)#1,816
87. 61235 16.0 49.0 (-33.0)#87 48.0 (-32.0)#1,884
88. 61878 16.0 49.0 (-33.0)#88 48.0 (-32.0)#1,891
89. 61349 16.0 49.0 (-33.0)#89 48.0 (-32.0)#1,897
90. 61516 16.0 49.0 (-33.0)#90 48.0 (-32.0)#1,911
91. 62217 16.0 49.0 (-33.0)#91 48.0 (-32.0)#1,912
92. 60610 17.0 49.0 (-32.0)#92 48.0 (-31.0)#1,930
93. 61607 17.0 49.0 (-32.0)#93 48.0 (-31.0)#1,982
94. 61616 17.0 49.0 (-32.0)#94 48.0 (-31.0)#2,017
95. 62553 17.0 49.0 (-32.0)#95 48.0 (-31.0)#2,110
96. 60304 18.0 49.0 (-31.0)#96 48.0 (-30.0)#2,163
97. 60118 18.0 49.0 (-31.0)#97 48.0 (-30.0)#2,171
98. 62869 18.0 49.0 (-31.0)#98 48.0 (-30.0)#2,258
99. 62351 18.0 49.0 (-31.0)#99 48.0 (-30.0)#2,274
100. 62047 18.0 49.0 (-31.0)#100 48.0 (-30.0)#2,278

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Illinois?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Illinois are:
#1
3.0
#2
4.0
#3
4.0
#4
5.0
#5
5.0
#6
5.0
#7
6.0
#8
6.0
#9
6.0
#10
7.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Illinois?
62808 has the Lowest Births per 1,000 Women in Labor Force in Illinois with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Illinois?
Number Births per 1,000 Women in Labor Force in Illinois is 49.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.