Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland

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Highest Poverty | Female 18-24
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
Maryland
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland

Zip Code Female Poverty vs State vs National
1.20674100.0%15.9%(+84.1)#121.6%(+78.4)#205
2.21914100.0%15.9%(+84.1)#221.6%(+78.4)#224
3.20628100.0%15.9%(+84.1)#321.6%(+78.4)#267
4.2154293.8%15.9%(+77.8)#421.6%(+72.2)#698
5.2185679.2%15.9%(+63.2)#521.6%(+57.6)#924
6.2153875.0%15.9%(+59.1)#621.6%(+53.4)#1,039
7.2062173.5%15.9%(+57.5)#721.6%(+51.9)#1,089
8.2074070.4%15.9%(+54.5)#821.6%(+48.8)#1,193
9.2182667.9%15.9%(+52.0)#921.6%(+46.3)#1,291
10.2120467.7%15.9%(+51.8)#1021.6%(+46.1)#1,298
11.2173763.9%15.9%(+48.0)#1121.6%(+42.3)#1,504
12.2156262.3%15.9%(+46.4)#1221.6%(+40.7)#1,614
13.2152159.1%15.9%(+43.2)#1321.6%(+37.5)#1,797
14.2153259.0%15.9%(+43.0)#1421.6%(+37.4)#1,805
15.2165457.9%15.9%(+42.0)#1521.6%(+36.3)#1,873
16.2121854.1%15.9%(+38.2)#1621.6%(+32.5)#2,163
17.2181353.3%15.9%(+37.4)#1721.6%(+31.7)#2,238
18.2163150.0%15.9%(+34.1)#1821.6%(+28.4)#2,511
19.2191350.0%15.9%(+34.1)#1921.6%(+28.4)#2,550
20.2164150.0%15.9%(+34.1)#2021.6%(+28.4)#2,607
21.2121147.8%15.9%(+31.9)#2121.6%(+26.2)#2,828
22.2120144.2%15.9%(+28.2)#2221.6%(+22.6)#3,289
23.2061143.9%15.9%(+28.0)#2321.6%(+22.3)#3,324
24.2180443.9%15.9%(+27.9)#2421.6%(+22.3)#3,333
25.2121742.9%15.9%(+27.0)#2521.6%(+21.3)#3,456
26.2153141.9%15.9%(+26.0)#2621.6%(+20.3)#3,631
27.2186341.8%15.9%(+25.9)#2721.6%(+20.2)#3,657
28.2120241.6%15.9%(+25.6)#2821.6%(+20.0)#3,687
29.2122341.4%15.9%(+25.5)#2921.6%(+19.8)#3,707
30.2128640.5%15.9%(+24.6)#3021.6%(+18.9)#3,846
31.2160737.5%15.9%(+21.6)#3121.6%(+15.9)#4,435
32.2191837.1%15.9%(+21.2)#3221.6%(+15.5)#4,507
33.2086136.8%15.9%(+20.9)#3321.6%(+15.2)#4,579
34.2179836.3%15.9%(+20.4)#3421.6%(+14.7)#4,673
35.2076236.2%15.9%(+20.3)#3521.6%(+14.6)#4,698
36.2163936.1%15.9%(+20.1)#3621.6%(+14.5)#4,731
37.2182235.0%15.9%(+19.1)#3721.6%(+13.4)#4,971
38.2163234.9%15.9%(+19.0)#3821.6%(+13.3)#5,008
39.2174034.1%15.9%(+18.2)#3921.6%(+12.5)#5,171
40.2154533.8%15.9%(+17.9)#4021.6%(+12.2)#5,231
41.2175033.8%15.9%(+17.8)#4121.6%(+12.2)#5,248
42.2078333.7%15.9%(+17.8)#4221.6%(+12.1)#5,262
43.2083733.7%15.9%(+17.8)#4321.6%(+12.1)#5,263
44.2123033.0%15.9%(+17.1)#4421.6%(+11.4)#5,477
45.2063632.8%15.9%(+16.8)#4521.6%(+11.2)#5,525
46.2091232.3%15.9%(+16.4)#4621.6%(+10.7)#5,633
47.2121032.3%15.9%(+16.4)#4721.6%(+10.7)#5,641
48.2180132.1%15.9%(+16.2)#4821.6%(+10.5)#5,687
49.2152431.8%15.9%(+15.9)#4921.6%(+10.2)#5,765
50.2100131.0%15.9%(+15.1)#5021.6%(+9.43)#5,961
51.2122530.0%15.9%(+14.1)#5121.6%(+8.44)#6,232
52.2123129.8%15.9%(+13.9)#5221.6%(+8.24)#6,308
53.2153628.6%15.9%(+12.7)#5321.6%(+6.97)#6,709
54.2153928.6%15.9%(+12.7)#5421.6%(+6.97)#6,716
55.2122428.6%15.9%(+12.6)#5521.6%(+6.96)#6,754
56.2077028.5%15.9%(+12.6)#5621.6%(+6.91)#6,761
57.2115228.4%15.9%(+12.5)#5721.6%(+6.80)#6,795
58.2154128.1%15.9%(+12.2)#5821.6%(+6.53)#6,883
59.2116327.4%15.9%(+11.5)#5921.6%(+5.78)#7,132
60.2120527.2%15.9%(+11.3)#6021.6%(+5.59)#7,205
61.2173426.3%15.9%(+10.4)#6121.6%(+4.72)#7,526
62.2150226.2%15.9%(+10.3)#6221.6%(+4.59)#7,564
63.2192126.1%15.9%(+10.2)#6321.6%(+4.48)#7,605
64.2087925.3%15.9%(+9.39)#6421.6%(+3.71)#7,864
65.2104624.8%15.9%(+8.85)#6521.6%(+3.17)#8,109
66.2162023.8%15.9%(+7.87)#6621.6%(+2.19)#8,474
67.2122023.7%15.9%(+7.79)#6721.6%(+2.11)#8,505
68.2123923.4%15.9%(+7.50)#6821.6%(+1.82)#8,615
69.2121223.1%15.9%(+7.20)#6921.6%(+1.53)#8,728
70.2120923.1%15.9%(+7.16)#7021.6%(+1.48)#8,740
71.2122722.6%15.9%(+6.65)#7121.6%(+0.976)#8,975
72.2103022.4%15.9%(+6.43)#7221.6%(+0.753)#9,068
73.2107621.8%15.9%(+5.87)#7321.6%(+0.192)#9,329
74.2104521.6%15.9%(+5.68)#7421.6%(+0.002)#9,402
75.2060721.5%15.9%(+5.54)#7521.6%(-0.140)#9,462
76.2116121.4%15.9%(+5.47)#7621.6%(-0.203)#9,513
77.2156120.9%15.9%(+4.94)#7721.6%(-0.734)#9,767
78.2090320.6%15.9%(+4.66)#7821.6%(-1.02)#9,910
79.2121520.4%15.9%(+4.48)#7921.6%(-1.20)#9,984
80.2187420.3%15.9%(+4.42)#8021.6%(-1.26)#10,016
81.2164920.2%15.9%(+4.29)#8121.6%(-1.38)#10,074
82.2140119.3%15.9%(+3.43)#8221.6%(-2.25)#10,519
83.2122218.9%15.9%(+2.99)#8321.6%(-2.69)#10,748
84.2078118.9%15.9%(+2.96)#8421.6%(-2.72)#10,761
85.2178718.8%15.9%(+2.83)#8521.6%(-2.85)#10,804
86.2085118.7%15.9%(+2.77)#8621.6%(-2.91)#10,861
87.2074318.3%15.9%(+2.40)#8721.6%(-3.27)#11,046
88.2079418.0%15.9%(+2.13)#8821.6%(-3.55)#11,199
89.2102817.9%15.9%(+2.00)#8921.6%(-3.67)#11,258
90.2078517.6%15.9%(+1.69)#9021.6%(-3.99)#11,442
91.2081517.5%15.9%(+1.53)#9121.6%(-4.14)#11,520
92.2120717.4%15.9%(+1.52)#9221.6%(-4.15)#11,527
93.2087717.4%15.9%(+1.45)#9321.6%(-4.23)#11,583
94.2070617.2%15.9%(+1.27)#9421.6%(-4.41)#11,667
95.2070517.2%15.9%(+1.24)#9521.6%(-4.44)#11,684
96.2190116.8%15.9%(+0.924)#9621.6%(-4.75)#11,859
97.2107516.8%15.9%(+0.846)#9721.6%(-4.83)#11,888
98.2091016.8%15.9%(+0.841)#9821.6%(-4.84)#11,892
99.2179116.8%15.9%(+0.837)#9921.6%(-4.84)#11,898
100.2152916.7%15.9%(+0.747)#10021.6%(-4.93)#11,995

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
93.8%
#5
79.2%
#6
75.0%
#7
73.5%
#8
70.4%
#9
67.9%
#10
67.7%
What zip code has the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland?
20674 has the Highest Poverty Level Among Females Between Ages 18 and 24 in Maryland with 100.0%.
What is the Poverty Level Among Females Between Ages 18 and 24 in the State of Maryland?
Poverty Level Among Females Between Ages 18 and 24 in Maryland is 15.9%.
What is the Poverty Level Among Females Between Ages 18 and 24 in the United States?
Poverty Level Among Females Between Ages 18 and 24 in the United States is 21.6%.