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

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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
Maryland
Compare Zip Codes
Comparison Subject

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

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Maryland Map

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

Zip Code Female Poverty vs State vs National
1.20621100.0%10.8%(+89.2)#114.5%(+85.5)#107
2.21628100.0%10.8%(+89.2)#214.5%(+85.5)#248
3.20899100.0%10.8%(+89.2)#314.5%(+85.5)#385
4.21540100.0%10.8%(+89.2)#414.5%(+85.5)#428
5.2164589.5%10.8%(+78.6)#514.5%(+75.0)#520
6.2115359.1%10.8%(+48.3)#614.5%(+44.6)#1,158
7.2181752.3%10.8%(+41.5)#714.5%(+37.8)#1,492
8.2176746.2%10.8%(+35.3)#814.5%(+31.7)#1,978
9.2153845.5%10.8%(+34.6)#914.5%(+31.0)#2,048
10.2153942.7%10.8%(+31.8)#1014.5%(+28.2)#2,368
11.2154242.1%10.8%(+31.3)#1114.5%(+27.6)#2,429
12.2167740.6%10.8%(+29.8)#1214.5%(+26.1)#2,608
13.2161040.0%10.8%(+29.2)#1314.5%(+25.5)#2,709
14.2163638.9%10.8%(+28.1)#1414.5%(+24.4)#2,853
15.2165138.8%10.8%(+28.0)#1514.5%(+24.3)#2,866
16.2166438.1%10.8%(+27.3)#1614.5%(+23.6)#2,982
17.2164136.4%10.8%(+25.5)#1714.5%(+21.9)#3,290
18.2120535.7%10.8%(+24.9)#1814.5%(+21.2)#3,435
19.2122334.4%10.8%(+23.6)#1914.5%(+19.9)#3,672
20.2191433.3%10.8%(+22.5)#2014.5%(+18.8)#3,876
21.2163232.8%10.8%(+22.0)#2114.5%(+18.3)#4,050
22.2164332.0%10.8%(+21.2)#2214.5%(+17.5)#4,209
23.2185331.3%10.8%(+20.5)#2314.5%(+16.8)#4,366
24.2187128.6%10.8%(+17.7)#2414.5%(+14.1)#5,143
25.2063428.5%10.8%(+17.7)#2514.5%(+14.0)#5,198
26.2166828.5%10.8%(+17.6)#2614.5%(+14.0)#5,210
27.2122228.4%10.8%(+17.6)#2714.5%(+14.0)#5,212
28.2191828.1%10.8%(+17.3)#2814.5%(+13.6)#5,306
29.2173827.6%10.8%(+16.8)#2914.5%(+13.1)#5,472
30.2121327.5%10.8%(+16.7)#3014.5%(+13.0)#5,511
31.2078327.5%10.8%(+16.7)#3114.5%(+13.0)#5,516
32.2187527.3%10.8%(+16.4)#3214.5%(+12.8)#5,611
33.2162527.2%10.8%(+16.4)#3314.5%(+12.7)#5,618
34.2120125.6%10.8%(+14.8)#3414.5%(+11.1)#6,147
35.2161325.5%10.8%(+14.7)#3514.5%(+11.1)#6,176
36.2121625.5%10.8%(+14.6)#3614.5%(+11.0)#6,202
37.2061525.4%10.8%(+14.6)#3714.5%(+10.9)#6,231
38.2122925.3%10.8%(+14.5)#3814.5%(+10.8)#6,254
39.2171825.0%10.8%(+14.2)#3914.5%(+10.5)#6,444
40.2121724.7%10.8%(+13.9)#4014.5%(+10.3)#6,517
41.2153024.6%10.8%(+13.8)#4114.5%(+10.1)#6,575
42.2122523.7%10.8%(+12.9)#4214.5%(+9.22)#6,923
43.2174223.5%10.8%(+12.7)#4314.5%(+9.05)#7,003
44.2167123.1%10.8%(+12.3)#4414.5%(+8.58)#7,199
45.2164823.1%10.8%(+12.3)#4514.5%(+8.58)#7,208
46.2180422.9%10.8%(+12.1)#4614.5%(+8.39)#7,274
47.2164022.8%10.8%(+11.9)#4714.5%(+8.28)#7,326
48.2184122.5%10.8%(+11.7)#4814.5%(+8.01)#7,447
49.2163822.4%10.8%(+11.6)#4914.5%(+7.91)#7,490
50.2108422.4%10.8%(+11.5)#5014.5%(+7.88)#7,506
51.2156121.9%10.8%(+11.1)#5114.5%(+7.41)#7,750
52.2180121.5%10.8%(+10.7)#5214.5%(+7.05)#7,919
53.2174021.3%10.8%(+10.5)#5314.5%(+6.83)#8,019
54.2182221.2%10.8%(+10.4)#5414.5%(+6.68)#8,101
55.2153620.9%10.8%(+10.0)#5514.5%(+6.37)#8,286
56.2155520.7%10.8%(+9.87)#5614.5%(+6.20)#8,376
57.2152020.6%10.8%(+9.81)#5714.5%(+6.14)#8,412
58.2190420.6%10.8%(+9.79)#5814.5%(+6.12)#8,425
59.2108520.2%10.8%(+9.36)#5914.5%(+5.69)#8,640
60.2153220.1%10.8%(+9.32)#6014.5%(+5.65)#8,659
61.2152420.0%10.8%(+9.18)#6114.5%(+5.51)#8,765
62.2165719.8%10.8%(+8.96)#6214.5%(+5.29)#8,899
63.2163919.8%10.8%(+8.93)#6314.5%(+5.26)#8,910
64.2162919.7%10.8%(+8.92)#6414.5%(+5.25)#8,911
65.2175519.4%10.8%(+8.62)#6514.5%(+4.95)#9,095
66.2166119.4%10.8%(+8.59)#6614.5%(+4.92)#9,113
67.2073719.4%10.8%(+8.58)#6714.5%(+4.91)#9,122
68.2114619.2%10.8%(+8.41)#6814.5%(+4.74)#9,219
69.2087719.1%10.8%(+8.24)#6914.5%(+4.57)#9,321
70.2175818.9%10.8%(+8.07)#7014.5%(+4.40)#9,428
71.2160118.6%10.8%(+7.80)#7114.5%(+4.13)#9,591
72.2100118.6%10.8%(+7.73)#7214.5%(+4.06)#9,637
73.2171018.5%10.8%(+7.64)#7314.5%(+3.97)#9,687
74.2122718.3%10.8%(+7.49)#7414.5%(+3.82)#9,773
75.2121818.1%10.8%(+7.32)#7514.5%(+3.65)#9,900
76.2121518.1%10.8%(+7.30)#7614.5%(+3.63)#9,913
77.2078118.0%10.8%(+7.15)#7714.5%(+3.48)#10,010
78.2065318.0%10.8%(+7.14)#7814.5%(+3.47)#10,013
79.2178217.9%10.8%(+7.12)#7914.5%(+3.45)#10,022
80.2140317.7%10.8%(+6.89)#8014.5%(+3.22)#10,162
81.2175717.6%10.8%(+6.79)#8114.5%(+3.12)#10,228
82.2185017.5%10.8%(+6.69)#8214.5%(+3.02)#10,279
83.2116017.2%10.8%(+6.42)#8314.5%(+2.75)#10,430
84.2074517.2%10.8%(+6.41)#8414.5%(+2.74)#10,446
85.2165517.2%10.8%(+6.33)#8514.5%(+2.66)#10,498
86.2104016.8%10.8%(+6.01)#8614.5%(+2.34)#10,717
87.2156216.3%10.8%(+5.47)#8714.5%(+1.80)#11,116
88.2121416.3%10.8%(+5.46)#8814.5%(+1.79)#11,128
89.2116316.2%10.8%(+5.39)#8914.5%(+1.72)#11,172
90.2190116.2%10.8%(+5.39)#9014.5%(+1.72)#11,184
91.2071216.0%10.8%(+5.21)#9114.5%(+1.54)#11,296
92.2090316.0%10.8%(+5.20)#9214.5%(+1.53)#11,299
93.2072416.0%10.8%(+5.20)#9314.5%(+1.53)#11,302
94.2073315.8%10.8%(+5.01)#9414.5%(+1.34)#11,415
95.2154115.8%10.8%(+4.97)#9514.5%(+1.30)#11,446
96.2091215.8%10.8%(+4.94)#9614.5%(+1.27)#11,482
97.2123115.6%10.8%(+4.77)#9714.5%(+1.10)#11,583
98.2171315.5%10.8%(+4.65)#9814.5%(+0.977)#11,674
99.2083315.3%10.8%(+4.52)#9914.5%(+0.845)#11,761
100.2081615.3%10.8%(+4.51)#10014.5%(+0.842)#11,765

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Maryland?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Maryland are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
89.5%
#6
59.1%
#7
52.3%
#8
46.2%
#9
45.5%
#10
42.7%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Maryland?
20621 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Maryland with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the State of Maryland?
Poverty Level Among Females Between Ages 25 and 34 in Maryland is 10.8%.
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%.