Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL

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Highest Poverty | Female 25-34
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad 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
Chicago
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago

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50.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL

Zip Code Female Poverty vs State vs National
1.6060348.5%13.8%(+34.7)#6914.5%(+34.0)#1,787
2.6062139.0%13.8%(+25.2)#10714.5%(+24.5)#2,839
3.6064437.9%13.8%(+24.1)#11114.5%(+23.4)#3,005
4.6062436.3%13.8%(+22.5)#12314.5%(+21.8)#3,295
5.6065333.0%13.8%(+19.2)#15714.5%(+18.5)#4,007
6.6063730.4%13.8%(+16.6)#18514.5%(+15.9)#4,585
7.6061929.5%13.8%(+15.8)#19314.5%(+15.1)#4,846
8.6064929.5%13.8%(+15.7)#19414.5%(+15.0)#4,855
9.6063628.3%13.8%(+14.5)#21014.5%(+13.8)#5,258
10.6062827.1%13.8%(+13.3)#22914.5%(+12.6)#5,666
11.6062026.8%13.8%(+13.0)#23814.5%(+12.3)#5,758
12.6061526.1%13.8%(+12.3)#24514.5%(+11.6)#5,962
13.6062323.9%13.8%(+10.1)#27714.5%(+9.38)#6,853
14.6060923.0%13.8%(+9.23)#29314.5%(+8.53)#7,222
15.6065122.7%13.8%(+8.90)#30014.5%(+8.20)#7,365
16.6064521.3%13.8%(+7.48)#33114.5%(+6.78)#8,054
17.6061720.6%13.8%(+6.83)#34014.5%(+6.13)#8,418
18.6061219.6%13.8%(+5.85)#36614.5%(+5.15)#8,975
19.6062919.1%13.8%(+5.34)#38214.5%(+4.64)#9,289
20.6063919.1%13.8%(+5.31)#38314.5%(+4.61)#9,307
21.6065919.1%13.8%(+5.29)#38414.5%(+4.59)#9,311
22.6063218.5%13.8%(+4.69)#40414.5%(+3.99)#9,671
23.6060816.9%13.8%(+3.11)#44614.5%(+2.41)#10,675
24.6062614.4%13.8%(+0.580)#51814.5%(-0.121)#12,408
25.6061614.1%13.8%(+0.338)#53214.5%(-0.363)#12,638
26.6064113.4%13.8%(-0.371)#55514.5%(-1.07)#13,163
27.6060713.3%13.8%(-0.519)#56414.5%(-1.22)#13,293
28.6060113.1%13.8%(-0.741)#57114.5%(-1.44)#13,457
29.6064012.6%13.8%(-1.16)#58514.5%(-1.86)#13,774
30.6061112.4%13.8%(-1.43)#59514.5%(-2.13)#13,996
31.6065212.1%13.8%(-1.67)#60414.5%(-2.37)#14,155
32.6063311.4%13.8%(-2.36)#62914.5%(-3.06)#14,723
33.6062511.3%13.8%(-2.51)#63214.5%(-3.21)#14,863
34.6064611.1%13.8%(-2.72)#64514.5%(-3.42)#15,073
35.606349.5%13.8%(-4.30)#71714.5%(-5.00)#16,479
36.606049.3%13.8%(-4.49)#72314.5%(-5.19)#16,643
37.606109.1%13.8%(-4.74)#73214.5%(-5.44)#16,896
38.606609.0%13.8%(-4.75)#73314.5%(-5.45)#16,910
39.606138.3%13.8%(-5.47)#76114.5%(-6.17)#17,552
40.606478.3%13.8%(-5.50)#76314.5%(-6.20)#17,572
41.606308.2%13.8%(-5.64)#76814.5%(-6.34)#17,687
42.606057.6%13.8%(-6.17)#79714.5%(-6.87)#18,189
43.606187.0%13.8%(-6.81)#82314.5%(-7.51)#18,784
44.606066.6%13.8%(-7.21)#84414.5%(-7.91)#19,138
45.606386.5%13.8%(-7.25)#84614.5%(-7.95)#19,182
46.606316.4%13.8%(-7.41)#85114.5%(-8.11)#19,328
47.606145.2%13.8%(-8.58)#90014.5%(-9.28)#20,420
48.606435.0%13.8%(-8.75)#90614.5%(-9.45)#20,567
49.606574.9%13.8%(-8.86)#90914.5%(-9.56)#20,645
50.606224.7%13.8%(-9.11)#92114.5%(-9.81)#20,870
51.606614.7%13.8%(-9.13)#92314.5%(-9.83)#20,879
52.606563.9%13.8%(-9.87)#95914.5%(-10.6)#21,501
53.606423.9%13.8%(-9.90)#96214.5%(-10.6)#21,535
54.606553.7%13.8%(-10.1)#97514.5%(-10.8)#21,719
55.606542.0%13.8%(-11.8)#1,03814.5%(-12.5)#22,870

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL are:
#1
48.5%
#2
39.0%
#3
37.9%
#4
36.3%
#5
33.0%
#6
30.4%
#7
29.5%
#8
29.5%
#9
28.3%
#10
27.1%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL?
60603 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL with 48.5%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Chicago, IL?
Poverty Level Among Females Between Ages 25 and 34 in Chicago is 14.4%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Illinois?
Poverty Level Among Females Between Ages 25 and 34 in Illinois is 13.8%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.