Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States

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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)
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
United States
Compare Zip Codes
Comparison Subject

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

100.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States

Zip Code Female Poverty vs State vs National
1.85263, Arizona100.0%15.9%(+84.1)#114.8%(+85.2)#1
2.18332, Pennsylvania100.0%14.3%(+85.7)#114.8%(+85.2)#2
3.12733, New York100.0%14.1%(+85.9)#114.8%(+85.2)#3
4.58202, North Dakota100.0%11.9%(+88.1)#114.8%(+85.2)#4
5.93283, California100.0%13.0%(+87.0)#114.8%(+85.2)#5
6.44510, Ohio100.0%17.4%(+82.6)#114.8%(+85.2)#6
7.78597, Texas100.0%15.6%(+84.4)#114.8%(+85.2)#7
8.00740, Puerto Rico100.0%46.6%(+53.4)#114.8%(+85.2)#8
9.03864, New Hampshire100.0%9.9%(+90.1)#114.8%(+85.2)#9
10.95942, California100.0%13.0%(+87.0)#214.8%(+85.2)#10
11.29545, South Carolina100.0%17.9%(+82.1)#114.8%(+85.2)#11
12.64084, Missouri100.0%15.0%(+85.0)#114.8%(+85.2)#12
13.45616, Ohio100.0%17.4%(+82.6)#214.8%(+85.2)#13
14.24120, Virginia100.0%11.8%(+88.2)#114.8%(+85.2)#14
15.46531, Indiana100.0%15.9%(+84.1)#114.8%(+85.2)#15
16.92561, California100.0%13.0%(+87.0)#314.8%(+85.2)#16
17.65612, Missouri100.0%15.0%(+85.0)#214.8%(+85.2)#17
18.65326, Missouri100.0%15.0%(+85.0)#314.8%(+85.2)#18
19.18056, Pennsylvania100.0%14.3%(+85.7)#214.8%(+85.2)#19
20.29426, South Carolina100.0%17.9%(+82.1)#214.8%(+85.2)#20
21.70725, Louisiana100.0%22.8%(+77.2)#114.8%(+85.2)#21
22.83804, Idaho100.0%14.2%(+85.8)#114.8%(+85.2)#22
23.72320, Arkansas100.0%20.2%(+79.8)#114.8%(+85.2)#23
24.25971, West Virginia100.0%22.6%(+77.4)#114.8%(+85.2)#24
25.85911, Arizona100.0%15.9%(+84.1)#214.8%(+85.2)#25
26.63013, Missouri100.0%15.0%(+85.0)#414.8%(+85.2)#26
27.14778, New York100.0%14.1%(+85.9)#214.8%(+85.2)#27
28.72467, Arkansas100.0%20.2%(+79.8)#214.8%(+85.2)#28
29.87007, New Mexico100.0%20.5%(+79.5)#114.8%(+85.2)#29
30.65463, Missouri100.0%15.0%(+85.0)#514.8%(+85.2)#30
31.36258, Alabama100.0%19.8%(+80.2)#114.8%(+85.2)#31
32.36688, Alabama100.0%19.8%(+80.2)#214.8%(+85.2)#32
33.24265, Virginia100.0%11.8%(+88.2)#214.8%(+85.2)#33
34.25125, West Virginia100.0%22.6%(+77.4)#214.8%(+85.2)#34
35.26133, West Virginia100.0%22.6%(+77.4)#314.8%(+85.2)#35
36.64861, Missouri100.0%15.0%(+85.0)#614.8%(+85.2)#36
37.25501, West Virginia100.0%22.6%(+77.4)#414.8%(+85.2)#37
38.16851, Pennsylvania100.0%14.3%(+85.7)#314.8%(+85.2)#38
39.30746, Georgia100.0%16.5%(+83.5)#114.8%(+85.2)#39
40.25140, West Virginia100.0%22.6%(+77.4)#514.8%(+85.2)#40
41.71030, Louisiana100.0%22.8%(+77.2)#214.8%(+85.2)#41
42.35443, Alabama100.0%19.8%(+80.2)#314.8%(+85.2)#42
43.95919, California100.0%13.0%(+87.0)#414.8%(+85.2)#43
44.25121, West Virginia100.0%22.6%(+77.4)#614.8%(+85.2)#44
45.25235, West Virginia100.0%22.6%(+77.4)#714.8%(+85.2)#45
46.65662, Missouri100.0%15.0%(+85.0)#714.8%(+85.2)#46
47.92518, California100.0%13.0%(+87.0)#514.8%(+85.2)#47
48.72581, Arkansas100.0%20.2%(+79.8)#314.8%(+85.2)#48
49.62523, Illinois100.0%14.3%(+85.7)#114.8%(+85.2)#49
50.77982, Texas100.0%15.6%(+84.4)#214.8%(+85.2)#50
51.41719, Kentucky100.0%19.4%(+80.6)#114.8%(+85.2)#51
52.88311, New Mexico100.0%20.5%(+79.5)#214.8%(+85.2)#52
53.02812, Rhode Island100.0%13.7%(+86.3)#114.8%(+85.2)#54
54.92275, California100.0%13.0%(+87.0)#614.8%(+85.2)#55
55.41602, Kentucky100.0%19.4%(+80.6)#214.8%(+85.2)#56
56.71256, Louisiana100.0%22.8%(+77.2)#314.8%(+85.2)#57
57.71331, Louisiana100.0%22.8%(+77.2)#414.8%(+85.2)#58
58.24250, Virginia100.0%11.8%(+88.2)#314.8%(+85.2)#59
59.92321, California100.0%13.0%(+87.0)#714.8%(+85.2)#60
60.25646, West Virginia100.0%22.6%(+77.4)#814.8%(+85.2)#61
61.41831, Kentucky100.0%19.4%(+80.6)#314.8%(+85.2)#62
62.12585, New York100.0%14.1%(+85.9)#314.8%(+85.2)#63
63.18211, Pennsylvania100.0%14.3%(+85.7)#414.8%(+85.2)#64
64.42344, Kentucky100.0%19.4%(+80.6)#414.8%(+85.2)#65
65.24602, Virginia100.0%11.8%(+88.2)#414.8%(+85.2)#66
66.39668, Mississippi100.0%23.6%(+76.4)#114.8%(+85.2)#67
67.85334, Arizona100.0%15.9%(+84.1)#314.8%(+85.2)#68
68.96024, California100.0%13.0%(+87.0)#814.8%(+85.2)#69
69.98421, Washington100.0%11.8%(+88.2)#114.8%(+85.2)#70
70.43341, Ohio100.0%17.4%(+82.6)#314.8%(+85.2)#71
71.22938, Virginia100.0%11.8%(+88.2)#514.8%(+85.2)#72
72.12985, New York100.0%14.1%(+85.9)#414.8%(+85.2)#73
73.87018, New Mexico100.0%20.5%(+79.5)#314.8%(+85.2)#74
74.27826, North Carolina100.0%16.5%(+83.5)#114.8%(+85.2)#75
75.42076, Kentucky100.0%19.4%(+80.6)#514.8%(+85.2)#76
76.30148, Georgia100.0%16.5%(+83.5)#214.8%(+85.2)#77
77.24579, Virginia100.0%11.8%(+88.2)#614.8%(+85.2)#78
78.10922, New York100.0%14.1%(+85.9)#514.8%(+85.2)#79
79.87530, New Mexico100.0%20.5%(+79.5)#414.8%(+85.2)#80
80.90073, California100.0%13.0%(+87.0)#914.8%(+85.2)#81
81.71456, Louisiana100.0%22.8%(+77.2)#514.8%(+85.2)#82
82.72661, Arkansas100.0%20.2%(+79.8)#414.8%(+85.2)#83
83.87830, New Mexico100.0%20.5%(+79.5)#514.8%(+85.2)#84
84.70756, Louisiana100.0%22.8%(+77.2)#614.8%(+85.2)#85
85.25187, West Virginia100.0%22.6%(+77.4)#914.8%(+85.2)#86
86.97377, Oregon100.0%14.5%(+85.5)#114.8%(+85.2)#87
87.15076, Pennsylvania100.0%14.3%(+85.7)#514.8%(+85.2)#88
88.40914, Kentucky100.0%19.4%(+80.6)#614.8%(+85.2)#89
89.24237, Virginia100.0%11.8%(+88.2)#714.8%(+85.2)#90
90.40902, Kentucky100.0%19.4%(+80.6)#714.8%(+85.2)#91
91.25259, West Virginia100.0%22.6%(+77.4)#1014.8%(+85.2)#92
92.72835, Arkansas100.0%20.2%(+79.8)#514.8%(+85.2)#93
93.91934, California100.0%13.0%(+87.0)#1014.8%(+85.2)#94
94.71642, Arkansas100.0%20.2%(+79.8)#614.8%(+85.2)#95
95.20621, Maryland100.0%11.0%(+89.0)#114.8%(+85.2)#96
96.62477, Illinois100.0%14.3%(+85.7)#214.8%(+85.2)#97
97.87931, New Mexico100.0%20.5%(+79.5)#614.8%(+85.2)#98
98.63388, Missouri100.0%15.0%(+85.0)#814.8%(+85.2)#99
99.24646, Virginia100.0%11.8%(+88.2)#814.8%(+85.2)#100
100.83429, Idaho100.0%14.2%(+85.8)#214.8%(+85.2)#101

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States?
85263 has the Highest Poverty Level Among Females Between Ages 25 and 34 in the United States with 100.0%.
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 14.8%.