Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland

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Lowest Poverty | Girls 0-16
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 Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland

8.0%
0.0%
Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland Map

Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland

Zip Code Child Poverty (Girls) vs State vs National
1.211140.16%12.2%(-12.0)#117.0%(-16.8)#8
2.218370.25%12.2%(-11.9)#217.0%(-16.7)#16
3.217560.43%12.2%(-11.8)#317.0%(-16.6)#55
4.210470.65%12.2%(-11.5)#417.0%(-16.3)#134
5.208950.70%12.2%(-11.5)#517.0%(-16.3)#156
6.211460.76%12.2%(-11.4)#617.0%(-16.2)#182
7.216600.87%12.2%(-11.3)#717.0%(-16.1)#238
8.208711.1%12.2%(-11.1)#817.0%(-15.9)#387
9.217101.2%12.2%(-11.0)#917.0%(-15.8)#468
10.217731.3%12.2%(-10.9)#1017.0%(-15.7)#507
11.211021.3%12.2%(-10.9)#1117.0%(-15.7)#533
12.217741.3%12.2%(-10.9)#1217.0%(-15.7)#544
13.207101.4%12.2%(-10.8)#1317.0%(-15.6)#617
14.218611.4%12.2%(-10.7)#1417.0%(-15.5)#639
15.208531.5%12.2%(-10.7)#1517.0%(-15.5)#663
16.210171.6%12.2%(-10.6)#1617.0%(-15.4)#772
17.208541.6%12.2%(-10.6)#1717.0%(-15.4)#777
18.210291.6%12.2%(-10.6)#1817.0%(-15.3)#781
19.208411.6%12.2%(-10.5)#1917.0%(-15.3)#789
20.210091.7%12.2%(-10.5)#2017.0%(-15.3)#809
21.210121.8%12.2%(-10.4)#2117.0%(-15.2)#939
22.208661.9%12.2%(-10.3)#2217.0%(-15.1)#987
23.207232.0%12.2%(-10.2)#2317.0%(-15.0)#1,063
24.206372.0%12.2%(-10.2)#2417.0%(-15.0)#1,083
25.208552.0%12.2%(-10.2)#2517.0%(-15.0)#1,112
26.207202.0%12.2%(-10.2)#2617.0%(-15.0)#1,113
27.214092.0%12.2%(-10.2)#2717.0%(-14.9)#1,120
28.210932.1%12.2%(-10.1)#2817.0%(-14.9)#1,132
29.211132.1%12.2%(-10.1)#2917.0%(-14.9)#1,142
30.210742.1%12.2%(-10.1)#3017.0%(-14.9)#1,145
31.208152.2%12.2%(-9.99)#3117.0%(-14.8)#1,239
32.207142.3%12.2%(-9.85)#3217.0%(-14.6)#1,359
33.211402.6%12.2%(-9.63)#3317.0%(-14.4)#1,544
34.207212.6%12.2%(-9.60)#3417.0%(-14.4)#1,570
35.206032.6%12.2%(-9.57)#3517.0%(-14.4)#1,593
36.217692.7%12.2%(-9.47)#3617.0%(-14.3)#1,656
37.212112.8%12.2%(-9.44)#3717.0%(-14.2)#1,681
38.218752.8%12.2%(-9.41)#3817.0%(-14.2)#1,713
39.217942.8%12.2%(-9.40)#3917.0%(-14.2)#1,720
40.206462.8%12.2%(-9.38)#4017.0%(-14.2)#1,737
41.217042.8%12.2%(-9.35)#4117.0%(-14.1)#1,780
42.212092.9%12.2%(-9.28)#4217.0%(-14.1)#1,835
43.217713.0%12.2%(-9.22)#4317.0%(-14.0)#1,886
44.208173.2%12.2%(-8.95)#4417.0%(-13.7)#2,129
45.211083.3%12.2%(-8.90)#4517.0%(-13.7)#2,165
46.206073.5%12.2%(-8.71)#4617.0%(-13.5)#2,325
47.210153.5%12.2%(-8.68)#4717.0%(-13.5)#2,354
48.207323.6%12.2%(-8.63)#4817.0%(-13.4)#2,377
49.206503.6%12.2%(-8.57)#4917.0%(-13.4)#2,445
50.208823.6%12.2%(-8.56)#5017.0%(-13.3)#2,459
51.207763.7%12.2%(-8.49)#5117.0%(-13.3)#2,518
52.218693.7%12.2%(-8.49)#5217.0%(-13.3)#2,523
53.207723.8%12.2%(-8.40)#5317.0%(-13.2)#2,604
54.210423.9%12.2%(-8.30)#5417.0%(-13.1)#2,692
55.206394.0%12.2%(-8.18)#5517.0%(-13.0)#2,806
56.211544.1%12.2%(-8.11)#5617.0%(-12.9)#2,866
57.208324.1%12.2%(-8.08)#5717.0%(-12.9)#2,895
58.208144.1%12.2%(-8.06)#5817.0%(-12.8)#2,913
59.208374.2%12.2%(-7.96)#5917.0%(-12.7)#2,997
60.217834.3%12.2%(-7.88)#6017.0%(-12.7)#3,058
61.219114.3%12.2%(-7.87)#6117.0%(-12.7)#3,060
62.216354.3%12.2%(-7.84)#6217.0%(-12.6)#3,089
63.210504.4%12.2%(-7.84)#6317.0%(-12.6)#3,106
64.210434.4%12.2%(-7.84)#6417.0%(-12.6)#3,108
65.217844.4%12.2%(-7.82)#6517.0%(-12.6)#3,115
66.210324.4%12.2%(-7.79)#6617.0%(-12.6)#3,151
67.207114.5%12.2%(-7.70)#6717.0%(-12.5)#3,229
68.216634.6%12.2%(-7.62)#6817.0%(-12.4)#3,302
69.211314.6%12.2%(-7.59)#6917.0%(-12.4)#3,326
70.207944.7%12.2%(-7.44)#7017.0%(-12.2)#3,454
71.216204.8%12.2%(-7.39)#7117.0%(-12.2)#3,516
72.216784.9%12.2%(-7.30)#7217.0%(-12.1)#3,589
73.206765.0%12.2%(-7.23)#7317.0%(-12.0)#3,648
74.206705.0%12.2%(-7.16)#7417.0%(-11.9)#3,702
75.217165.1%12.2%(-7.06)#7517.0%(-11.8)#3,788
76.206015.1%12.2%(-7.06)#7617.0%(-11.8)#3,802
77.206955.1%12.2%(-7.04)#7717.0%(-11.8)#3,813
78.207355.2%12.2%(-6.97)#7817.0%(-11.8)#3,878
79.211625.2%12.2%(-6.95)#7917.0%(-11.7)#3,895
80.206215.3%12.2%(-6.93)#8017.0%(-11.7)#3,932
81.207165.4%12.2%(-6.76)#8117.0%(-11.5)#4,087
82.207545.6%12.2%(-6.61)#8217.0%(-11.4)#4,219
83.212375.6%12.2%(-6.56)#8317.0%(-11.3)#4,246
84.207815.7%12.2%(-6.51)#8417.0%(-11.3)#4,291
85.212045.7%12.2%(-6.46)#8517.0%(-11.2)#4,348
86.208785.7%12.2%(-6.45)#8617.0%(-11.2)#4,350
87.206595.7%12.2%(-6.45)#8717.0%(-11.2)#4,353
88.210605.9%12.2%(-6.33)#8817.0%(-11.1)#4,446
89.216475.9%12.2%(-6.31)#8917.0%(-11.1)#4,479
90.212105.9%12.2%(-6.30)#9017.0%(-11.1)#4,489
91.211585.9%12.2%(-6.28)#9117.0%(-11.1)#4,506
92.218415.9%12.2%(-6.27)#9217.0%(-11.1)#4,515
93.215206.0%12.2%(-6.23)#9317.0%(-11.0)#4,543
94.216666.0%12.2%(-6.16)#9417.0%(-10.9)#4,597
95.210146.1%12.2%(-6.07)#9517.0%(-10.9)#4,674
96.207776.2%12.2%(-5.97)#9617.0%(-10.8)#4,756
97.207126.3%12.2%(-5.84)#9717.0%(-10.6)#4,868
98.211226.4%12.2%(-5.76)#9817.0%(-10.5)#4,931
99.209056.5%12.2%(-5.66)#9917.0%(-10.4)#5,005
100.207826.7%12.2%(-5.53)#10017.0%(-10.3)#5,107

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland are:
#1
0.16%
#2
0.25%
#3
0.43%
#4
0.65%
#5
0.70%
#6
0.76%
#7
0.87%
#8
1.1%
#9
1.2%
#10
1.3%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland?
21114 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Maryland with 0.16%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Maryland?
Poverty Level Among Girls Under the Age of 16 in Maryland is 12.2%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.