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

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Highest 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 Highest Child Poverty Level Among Girls Under the Age of 16 in Maryland

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Maryland Map

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

Zip Code Child Poverty (Girls) vs State vs National
1.21648100.0%12.2%(+87.8)#117.0%(+83.0)#287
2.2162288.2%12.2%(+76.0)#217.0%(+71.3)#453
3.2115376.9%12.2%(+64.7)#317.0%(+59.9)#660
4.2167768.2%12.2%(+56.0)#417.0%(+51.2)#908
5.2120554.3%12.2%(+42.1)#517.0%(+37.3)#1,674
6.2166853.6%12.2%(+41.5)#617.0%(+36.7)#1,720
7.2185651.2%12.2%(+39.0)#717.0%(+34.2)#1,957
8.2120151.1%12.2%(+38.9)#817.0%(+34.1)#1,968
9.2154250.0%12.2%(+37.8)#917.0%(+33.0)#2,087
10.2164150.0%12.2%(+37.8)#1017.0%(+33.0)#2,091
11.2186348.8%12.2%(+36.6)#1117.0%(+31.8)#2,210
12.2113247.8%12.2%(+35.6)#1217.0%(+30.8)#2,301
13.2121744.0%12.2%(+31.8)#1317.0%(+27.0)#2,729
14.2154542.6%12.2%(+30.4)#1417.0%(+25.6)#2,947
15.2187442.1%12.2%(+29.9)#1517.0%(+25.2)#3,017
16.2185341.6%12.2%(+29.4)#1617.0%(+24.6)#3,096
17.2163940.7%12.2%(+28.6)#1717.0%(+23.8)#3,241
18.2155540.5%12.2%(+28.3)#1817.0%(+23.5)#3,289
19.2122340.1%12.2%(+27.9)#1917.0%(+23.1)#3,348
20.2161339.2%12.2%(+27.0)#2017.0%(+22.2)#3,508
21.2152438.9%12.2%(+26.7)#2117.0%(+21.9)#3,567
22.2153838.5%12.2%(+26.3)#2217.0%(+21.5)#3,641
23.2154038.5%12.2%(+26.3)#2317.0%(+21.5)#3,646
24.2122537.6%12.2%(+25.5)#2417.0%(+20.7)#3,789
25.2163637.5%12.2%(+25.3)#2517.0%(+20.5)#3,823
26.2121336.4%12.2%(+24.2)#2617.0%(+19.4)#4,077
27.2123136.2%12.2%(+24.0)#2717.0%(+19.2)#4,114
28.2187135.9%12.2%(+23.7)#2817.0%(+19.0)#4,168
29.2153635.4%12.2%(+23.2)#2917.0%(+18.4)#4,298
30.2072434.6%12.2%(+22.4)#3017.0%(+17.6)#4,461
31.2163234.6%12.2%(+22.4)#3117.0%(+17.6)#4,487
32.2191333.8%12.2%(+21.6)#3217.0%(+16.8)#4,690
33.2173433.3%12.2%(+21.1)#3317.0%(+16.4)#4,788
34.2122033.2%12.2%(+21.0)#3417.0%(+16.2)#4,863
35.2078332.7%12.2%(+20.5)#3517.0%(+15.7)#4,990
36.2122231.8%12.2%(+19.6)#3617.0%(+14.8)#5,227
37.2120229.4%12.2%(+17.2)#3717.0%(+12.4)#5,932
38.2121828.5%12.2%(+16.4)#3817.0%(+11.6)#6,209
39.2174028.1%12.2%(+15.9)#3917.0%(+11.1)#6,384
40.2103427.6%12.2%(+15.4)#4017.0%(+10.6)#6,521
41.2164927.2%12.2%(+15.0)#4117.0%(+10.3)#6,678
42.2122426.9%12.2%(+14.8)#4217.0%(+9.97)#6,768
43.2122926.7%12.2%(+14.5)#4317.0%(+9.70)#6,863
44.2191526.2%12.2%(+14.0)#4417.0%(+9.25)#7,030
45.2086825.9%12.2%(+13.7)#4517.0%(+8.90)#7,165
46.2140325.2%12.2%(+13.0)#4617.0%(+8.23)#7,441
47.2161924.8%12.2%(+12.7)#4717.0%(+7.87)#7,628
48.2074524.7%12.2%(+12.5)#4817.0%(+7.68)#7,698
49.2100124.2%12.2%(+12.1)#4917.0%(+7.27)#7,856
50.2190424.1%12.2%(+11.9)#5017.0%(+7.14)#7,905
51.2154124.1%12.2%(+11.9)#5117.0%(+7.10)#7,919
52.2166123.6%12.2%(+11.4)#5217.0%(+6.66)#8,096
53.2065323.3%12.2%(+11.1)#5317.0%(+6.36)#8,229
54.2181723.2%12.2%(+11.0)#5417.0%(+6.19)#8,291
55.2078523.1%12.2%(+11.0)#5517.0%(+6.17)#8,295
56.2072222.8%12.2%(+10.6)#5617.0%(+5.86)#8,457
57.2123022.8%12.2%(+10.6)#5717.0%(+5.86)#8,458
58.2073722.7%12.2%(+10.5)#5817.0%(+5.73)#8,517
59.2162922.2%12.2%(+10.0)#5917.0%(+5.22)#8,774
60.2090322.1%12.2%(+9.90)#6017.0%(+5.12)#8,815
61.2077022.1%12.2%(+9.90)#6117.0%(+5.12)#8,816
62.2185022.0%12.2%(+9.78)#6217.0%(+5.00)#8,880
63.2120721.9%12.2%(+9.71)#6317.0%(+4.93)#8,917
64.2180421.9%12.2%(+9.67)#6417.0%(+4.89)#8,934
65.2113321.8%12.2%(+9.57)#6517.0%(+4.79)#8,979
66.2162521.6%12.2%(+9.44)#6617.0%(+4.66)#9,034
67.2122721.2%12.2%(+9.01)#6717.0%(+4.22)#9,266
68.2165821.2%12.2%(+8.97)#6817.0%(+4.18)#9,287
69.2175020.8%12.2%(+8.58)#6917.0%(+3.80)#9,464
70.2165520.8%12.2%(+8.57)#7017.0%(+3.78)#9,477
71.2121520.5%12.2%(+8.36)#7117.0%(+3.57)#9,580
72.2178720.1%12.2%(+7.95)#7217.0%(+3.16)#9,784
73.2122119.9%12.2%(+7.66)#7317.0%(+2.88)#9,947
74.2070519.8%12.2%(+7.58)#7417.0%(+2.79)#9,989
75.2066219.7%12.2%(+7.50)#7517.0%(+2.71)#10,032
76.2172719.4%12.2%(+7.17)#7617.0%(+2.39)#10,180
77.2121619.3%12.2%(+7.13)#7717.0%(+2.35)#10,198
78.2153919.3%12.2%(+7.12)#7817.0%(+2.33)#10,205
79.2150219.3%12.2%(+7.08)#7917.0%(+2.30)#10,227
80.2156218.9%12.2%(+6.70)#8017.0%(+1.91)#10,415
81.2185118.9%12.2%(+6.68)#8117.0%(+1.90)#10,426
82.2087618.8%12.2%(+6.59)#8217.0%(+1.81)#10,472
83.2074718.7%12.2%(+6.51)#8317.0%(+1.73)#10,526
84.2123618.6%12.2%(+6.44)#8417.0%(+1.65)#10,570
85.2087718.3%12.2%(+6.09)#8517.0%(+1.31)#10,780
86.2070818.1%12.2%(+5.89)#8617.0%(+1.11)#10,890
87.2190317.8%12.2%(+5.60)#8717.0%(+0.817)#11,036
88.2182217.3%12.2%(+5.07)#8817.0%(+0.284)#11,358
89.2178017.2%12.2%(+5.05)#8917.0%(+0.265)#11,374
90.2070717.2%12.2%(+5.01)#9017.0%(+0.221)#11,403
91.2190117.2%12.2%(+5.00)#9117.0%(+0.211)#11,409
92.2107817.1%12.2%(+4.91)#9217.0%(+0.125)#11,458
93.2113617.0%12.2%(+4.83)#9317.0%(+0.046)#11,501
94.2177916.4%12.2%(+4.23)#9417.0%(-0.558)#11,877
95.2180116.3%12.2%(+4.14)#9517.0%(-0.644)#11,914
96.2191916.1%12.2%(+3.95)#9617.0%(-0.837)#12,026
97.2087216.1%12.2%(+3.94)#9717.0%(-0.844)#12,031
98.2177616.0%12.2%(+3.79)#9817.0%(-0.993)#12,125
99.2155015.9%12.2%(+3.67)#9917.0%(-1.11)#12,206
100.2170215.8%12.2%(+3.64)#10017.0%(-1.14)#12,228

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Maryland?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Maryland are:
#1
100.0%
#2
88.2%
#3
76.9%
#4
68.2%
#5
54.3%
#6
53.6%
#7
51.2%
#8
51.1%
#9
50.0%
#10
50.0%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Maryland?
21648 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Maryland with 100.0%.
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%.