Zip Codes with the Highest Female Poverty Level in Maryland

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Highest Poverty | Female
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 Female Poverty Level in Maryland

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Maryland Map

Zip Codes with the Highest Female Poverty Level in Maryland

Zip Code Female Poverty vs State vs National
1. 21705 100.0% 10.2% (+89.8)#1 13.7% (+86.3)#102
2. 21814 65.6% 10.2% (+55.3)#2 13.7% (+51.9)#301
3. 21866 45.5% 10.2% (+35.2)#3 13.7% (+31.8)#874
4. 21542 42.9% 10.2% (+32.6)#4 13.7% (+29.2)#1,033
5. 20656 38.8% 10.2% (+28.6)#5 13.7% (+25.1)#1,347
6. 21223 36.0% 10.2% (+25.7)#6 13.7% (+22.3)#1,674
7. 21205 35.8% 10.2% (+25.6)#7 13.7% (+22.1)#1,688
8. 21201 35.4% 10.2% (+25.2)#8 13.7% (+21.7)#1,748
9. 21641 34.8% 10.2% (+24.6)#9 13.7% (+21.1)#1,857
10. 21624 33.3% 10.2% (+23.1)#10 13.7% (+19.6)#2,096
11. 21676 31.7% 10.2% (+21.4)#11 13.7% (+18.0)#2,427
12. 21153 31.2% 10.2% (+20.9)#12 13.7% (+17.5)#2,527
13. 21217 31.0% 10.2% (+20.8)#13 13.7% (+17.3)#2,574
14. 21540 30.4% 10.2% (+20.2)#14 13.7% (+16.7)#2,697
15. 21677 29.8% 10.2% (+19.6)#15 13.7% (+16.1)#2,879
16. 21225 28.6% 10.2% (+18.4)#16 13.7% (+14.9)#3,189
17. 20740 28.2% 10.2% (+18.0)#17 13.7% (+14.5)#3,305
18. 20621 27.6% 10.2% (+17.3)#18 13.7% (+13.9)#3,503
19. 21675 27.3% 10.2% (+17.0)#19 13.7% (+13.6)#3,598
20. 21524 26.7% 10.2% (+16.4)#20 13.7% (+13.0)#3,815
21. 21213 26.6% 10.2% (+16.4)#21 13.7% (+12.9)#3,822
22. 20612 25.6% 10.2% (+15.4)#22 13.7% (+11.9)#4,204
23. 20783 25.4% 10.2% (+15.1)#23 13.7% (+11.7)#4,315
24. 21853 24.6% 10.2% (+14.4)#24 13.7% (+10.9)#4,632
25. 21856 24.4% 10.2% (+14.2)#25 13.7% (+10.7)#4,731
26. 21218 24.1% 10.2% (+13.9)#26 13.7% (+10.4)#4,869
27. 21202 24.1% 10.2% (+13.8)#27 13.7% (+10.4)#4,876
28. 21913 24.0% 10.2% (+13.8)#28 13.7% (+10.3)#4,904
29. 21632 23.7% 10.2% (+13.5)#29 13.7% (+10.0)#5,046
30. 21231 23.0% 10.2% (+12.8)#30 13.7% (+9.29)#5,420
31. 21532 22.6% 10.2% (+12.4)#31 13.7% (+8.89)#5,605
32. 21536 22.6% 10.2% (+12.3)#32 13.7% (+8.87)#5,618
33. 21222 22.3% 10.2% (+12.0)#33 13.7% (+8.56)#5,799
34. 21639 22.1% 10.2% (+11.8)#34 13.7% (+8.37)#5,909
35. 21874 21.6% 10.2% (+11.3)#35 13.7% (+7.86)#6,224
36. 21562 21.5% 10.2% (+11.2)#36 13.7% (+7.78)#6,272
37. 21545 21.4% 10.2% (+11.2)#37 13.7% (+7.73)#6,302
38. 21817 21.4% 10.2% (+11.2)#38 13.7% (+7.71)#6,329
39. 21914 21.1% 10.2% (+10.8)#39 13.7% (+7.35)#6,550
40. 21215 20.8% 10.2% (+10.5)#40 13.7% (+7.06)#6,738
41. 21648 20.7% 10.2% (+10.5)#41 13.7% (+7.03)#6,759
42. 21711 20.7% 10.2% (+10.5)#42 13.7% (+6.98)#6,791
43. 21649 20.3% 10.2% (+10.1)#43 13.7% (+6.60)#7,057
44. 21863 20.2% 10.2% (+9.96)#44 13.7% (+6.49)#7,139
45. 21613 20.0% 10.2% (+9.82)#45 13.7% (+6.35)#7,221
46. 21750 20.0% 10.2% (+9.77)#46 13.7% (+6.30)#7,237
47. 21622 19.7% 10.2% (+9.49)#47 13.7% (+6.02)#7,441
48. 21643 19.7% 10.2% (+9.44)#48 13.7% (+5.97)#7,479
49. 21766 19.5% 10.2% (+9.32)#49 13.7% (+5.85)#7,572
50. 20765 19.5% 10.2% (+9.28)#50 13.7% (+5.80)#7,613
51. 21804 19.5% 10.2% (+9.25)#51 13.7% (+5.78)#7,631
52. 21740 19.3% 10.2% (+9.09)#52 13.7% (+5.62)#7,754
53. 21216 19.2% 10.2% (+8.95)#53 13.7% (+5.48)#7,857
54. 21227 18.7% 10.2% (+8.49)#54 13.7% (+5.02)#8,249
55. 21826 18.5% 10.2% (+8.27)#55 13.7% (+4.79)#8,441
56. 21229 18.4% 10.2% (+8.14)#56 13.7% (+4.67)#8,535
57. 21539 18.3% 10.2% (+8.10)#57 13.7% (+4.63)#8,568
58. 21628 18.3% 10.2% (+8.06)#58 13.7% (+4.59)#8,608
59. 21220 18.1% 10.2% (+7.84)#59 13.7% (+4.37)#8,785
60. 20903 17.8% 10.2% (+7.62)#60 13.7% (+4.15)#8,981
61. 20662 17.7% 10.2% (+7.47)#61 13.7% (+4.00)#9,109
62. 21636 17.5% 10.2% (+7.22)#62 13.7% (+3.75)#9,316
63. 21224 17.4% 10.2% (+7.20)#63 13.7% (+3.72)#9,349
64. 21132 17.4% 10.2% (+7.14)#64 13.7% (+3.66)#9,413
65. 21523 17.1% 10.2% (+6.92)#65 13.7% (+3.44)#9,620
66. 21502 16.8% 10.2% (+6.56)#66 13.7% (+3.09)#9,945
67. 20745 16.7% 10.2% (+6.50)#67 13.7% (+3.03)#10,013
68. 20770 16.6% 10.2% (+6.37)#68 13.7% (+2.90)#10,159
69. 21001 16.6% 10.2% (+6.32)#69 13.7% (+2.85)#10,224
70. 21668 16.5% 10.2% (+6.27)#70 13.7% (+2.80)#10,267
71. 21798 16.4% 10.2% (+6.14)#71 13.7% (+2.67)#10,391
72. 20737 16.3% 10.2% (+6.12)#72 13.7% (+2.65)#10,413
73. 21555 16.3% 10.2% (+6.08)#73 13.7% (+2.61)#10,457
74. 21801 16.2% 10.2% (+6.00)#74 13.7% (+2.53)#10,518
75. 21538 15.8% 10.2% (+5.56)#75 13.7% (+2.09)#11,005
76. 21727 15.7% 10.2% (+5.52)#76 13.7% (+2.04)#11,047
77. 21915 15.7% 10.2% (+5.50)#77 13.7% (+2.03)#11,058
78. 21230 15.4% 10.2% (+5.22)#78 13.7% (+1.75)#11,357
79. 21821 15.4% 10.2% (+5.21)#79 13.7% (+1.74)#11,370
80. 21207 15.4% 10.2% (+5.19)#80 13.7% (+1.71)#11,390
81. 20868 15.3% 10.2% (+5.05)#81 13.7% (+1.57)#11,557
82. 21204 15.2% 10.2% (+4.93)#82 13.7% (+1.46)#11,679
83. 20912 14.9% 10.2% (+4.69)#83 13.7% (+1.22)#11,962
84. 20785 14.6% 10.2% (+4.35)#84 13.7% (+0.876)#12,355
85. 20653 14.5% 10.2% (+4.24)#85 13.7% (+0.768)#12,482
86. 20877 14.4% 10.2% (+4.16)#86 13.7% (+0.686)#12,564
87. 20724 14.3% 10.2% (+4.09)#87 13.7% (+0.614)#12,647
88. 21659 14.2% 10.2% (+3.96)#88 13.7% (+0.490)#12,806
89. 21286 14.0% 10.2% (+3.72)#89 13.7% (+0.252)#13,091
90. 21664 13.7% 10.2% (+3.47)#90 13.7% (-0.005)#13,413
91. 20781 13.5% 10.2% (+3.23)#91 13.7% (-0.243)#13,731
92. 21829 13.4% 10.2% (+3.17)#92 13.7% (-0.297)#13,803
93. 21661 13.4% 10.2% (+3.15)#93 13.7% (-0.327)#13,834
94. 21629 13.3% 10.2% (+3.08)#94 13.7% (-0.389)#13,919
95. 21206 13.2% 10.2% (+2.95)#95 13.7% (-0.523)#14,100
96. 20879 13.1% 10.2% (+2.91)#96 13.7% (-0.562)#14,149
97. 21239 13.0% 10.2% (+2.75)#97 13.7% (-0.719)#14,361
98. 21221 12.6% 10.2% (+2.40)#98 13.7% (-1.07)#14,836
99. 21625 12.6% 10.2% (+2.36)#99 13.7% (-1.12)#14,888
100. 21034 12.5% 10.2% (+2.28)#100 13.7% (-1.19)#14,968

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Maryland?
Top 10 Zip Codes with the Highest Female Poverty Level in Maryland are:
#1
100.0%
#2
65.6%
#3
45.5%
#4
42.9%
#5
38.8%
#6
36.0%
#7
35.8%
#8
35.4%
#9
34.8%
#10
33.3%
What zip code has the Highest Female Poverty Level in Maryland?
21705 has the Highest Female Poverty Level in Maryland with 100.0%.
What is the Poverty Level Among Females in the State of Maryland?
Poverty Level Among Females in Maryland is 10.2%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.