Cities with the Highest Poverty Level Among Married Couples in Maryland

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Highest Poverty | Married Couple
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
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Comparison Subject

Map of Cities with the Highest Poverty Level Among Married Couples in Maryland

0.0%
80.0%
Cities with the Highest Poverty Level Among Married Couples in Maryland Map

Cities with the Highest Poverty Level Among Married Couples in Maryland

City Married Couples Poverty vs State vs National
1.Rohrersville61.8%3.0%(+58.7)#14.5%(+57.3)#241
2.Girdletree42.9%3.0%(+39.8)#24.5%(+38.4)#542
3.Templeville37.5%3.0%(+34.5)#34.5%(+33.0)#720
4.Galestown33.3%3.0%(+30.3)#44.5%(+28.9)#888
5.Bloomington31.2%3.0%(+28.2)#54.5%(+26.8)#968
6.Gorman25.7%3.0%(+22.6)#64.5%(+21.2)#1,361
7.Goldsboro25.6%3.0%(+22.6)#74.5%(+21.2)#1,368
8.Benedict25.6%3.0%(+22.6)#84.5%(+21.2)#1,371
9.Baltimore Highlands23.1%3.0%(+20.1)#94.5%(+18.6)#1,646
10.Butlertown22.3%3.0%(+19.3)#104.5%(+17.9)#1,739
11.Cecilton20.7%3.0%(+17.6)#114.5%(+16.2)#1,951
12.Crellin18.8%3.0%(+15.7)#124.5%(+14.3)#2,260
13.Williamsport17.6%3.0%(+14.6)#134.5%(+13.2)#2,486
14.Corriganville16.4%3.0%(+13.4)#144.5%(+11.9)#2,748
15.Princess Anne16.2%3.0%(+13.2)#154.5%(+11.8)#2,784
16.Smith Island15.4%3.0%(+12.4)#164.5%(+10.9)#3,001
17.Capitol Heights14.8%3.0%(+11.7)#174.5%(+10.3)#3,144
18.Perryman14.8%3.0%(+11.7)#184.5%(+10.3)#3,145
19.Tilghmanton14.7%3.0%(+11.7)#194.5%(+10.3)#3,156
20.Kitzmiller14.6%3.0%(+11.6)#204.5%(+10.1)#3,210
21.East Riverdale14.5%3.0%(+11.4)#214.5%(+10.0)#3,243
22.Marydel14.3%3.0%(+11.3)#224.5%(+9.82)#3,313
23.Marlow Heights14.2%3.0%(+11.2)#234.5%(+9.79)#3,340
24.Federalsburg13.9%3.0%(+10.9)#244.5%(+9.47)#3,416
25.Garrison13.7%3.0%(+10.6)#254.5%(+9.19)#3,494
26.Middle River12.8%3.0%(+9.80)#264.5%(+8.37)#3,817
27.Langley Park12.6%3.0%(+9.58)#274.5%(+8.15)#3,885
28.Denton12.1%3.0%(+9.11)#284.5%(+7.67)#4,103
29.Church Hill12.0%3.0%(+9.01)#294.5%(+7.58)#4,156
30.Lonaconing12.0%3.0%(+8.95)#304.5%(+7.51)#4,191
31.Mount Savage12.0%3.0%(+8.95)#314.5%(+7.51)#4,192
32.Mount Briar11.5%3.0%(+8.51)#324.5%(+7.08)#4,392
33.Fairmount Heights11.5%3.0%(+8.48)#334.5%(+7.04)#4,402
34.Lansdowne10.9%3.0%(+7.90)#344.5%(+6.47)#4,694
35.Midland10.8%3.0%(+7.74)#354.5%(+6.31)#4,771
36.Shaft10.2%3.0%(+7.20)#364.5%(+5.77)#5,113
37.White Oak10.1%3.0%(+7.11)#374.5%(+5.68)#5,164
38.Landover10.1%3.0%(+7.06)#384.5%(+5.62)#5,185
39.Crisfield10.1%3.0%(+7.04)#394.5%(+5.61)#5,197
40.Mccoole9.7%3.0%(+6.69)#404.5%(+5.26)#5,444
41.Queenstown9.5%3.0%(+6.46)#414.5%(+5.03)#5,589
42.Derwood9.5%3.0%(+6.46)#424.5%(+5.03)#5,590
43.Aquasco9.4%3.0%(+6.42)#434.5%(+4.98)#5,622
44.Bel Air9.0%3.0%(+5.93)#444.5%(+4.49)#6,003
45.Frostburg8.7%3.0%(+5.67)#454.5%(+4.23)#6,181
46.Deer Park8.6%3.0%(+5.61)#464.5%(+4.18)#6,239
47.Dundalk8.5%3.0%(+5.49)#474.5%(+4.06)#6,303
48.Adelphi8.5%3.0%(+5.46)#484.5%(+4.02)#6,335
49.Konterra8.4%3.0%(+5.41)#494.5%(+3.98)#6,370
50.Walker Mill8.3%3.0%(+5.29)#504.5%(+3.86)#6,495
51.Flower Hill8.1%3.0%(+5.09)#514.5%(+3.66)#6,647
52.Millington8.1%3.0%(+5.08)#524.5%(+3.65)#6,661
53.East New Market7.9%3.0%(+4.91)#534.5%(+3.47)#6,799
54.Woodlawn Cdp Baltimore County7.8%3.0%(+4.75)#544.5%(+3.32)#6,948
55.District Heights7.7%3.0%(+4.65)#554.5%(+3.22)#7,075
56.Cumberland7.6%3.0%(+4.59)#564.5%(+3.16)#7,111
57.Prince Frederick7.6%3.0%(+4.54)#574.5%(+3.11)#7,154
58.Mount Vernon7.5%3.0%(+4.48)#584.5%(+3.05)#7,207
59.Hurlock7.4%3.0%(+4.36)#594.5%(+2.92)#7,345
60.Laytonsville7.2%3.0%(+4.15)#604.5%(+2.72)#7,535
61.Summerfield7.2%3.0%(+4.15)#614.5%(+2.72)#7,537
62.Chillum7.2%3.0%(+4.12)#624.5%(+2.69)#7,558
63.Friendsville7.0%3.0%(+4.01)#634.5%(+2.58)#7,723
64.Westernport6.9%3.0%(+3.91)#644.5%(+2.48)#7,835
65.Spencerville6.8%3.0%(+3.82)#654.5%(+2.39)#7,933
66.Riverdale Park6.6%3.0%(+3.59)#664.5%(+2.16)#8,181
67.Woodlawn Cdp Prince George S County6.4%3.0%(+3.36)#674.5%(+1.93)#8,466
68.Edgewater6.4%3.0%(+3.32)#684.5%(+1.89)#8,522
69.Lochearn6.3%3.0%(+3.31)#694.5%(+1.88)#8,539
70.Glassmanor6.2%3.0%(+3.20)#704.5%(+1.77)#8,684
71.Silver Spring6.2%3.0%(+3.12)#714.5%(+1.69)#8,778
72.Baltimore6.1%3.0%(+3.10)#724.5%(+1.67)#8,808
73.Bensville6.1%3.0%(+3.08)#734.5%(+1.65)#8,830
74.Rock Hall6.0%3.0%(+2.93)#744.5%(+1.50)#9,008
75.Gaithersburg5.9%3.0%(+2.91)#754.5%(+1.48)#9,029
76.Croom5.9%3.0%(+2.89)#764.5%(+1.46)#9,054
77.Forest Heights5.9%3.0%(+2.85)#774.5%(+1.42)#9,097
78.Delmar5.8%3.0%(+2.78)#784.5%(+1.35)#9,225
79.West Ocean City5.8%3.0%(+2.78)#794.5%(+1.35)#9,227
80.Calverton5.8%3.0%(+2.78)#804.5%(+1.34)#9,230
81.Milford Mill5.7%3.0%(+2.69)#814.5%(+1.25)#9,346
82.Friendship Heights Village5.5%3.0%(+2.50)#824.5%(+1.07)#9,621
83.Hagerstown5.5%3.0%(+2.46)#834.5%(+1.03)#9,677
84.Chesapeake City5.4%3.0%(+2.36)#844.5%(+0.927)#9,842
85.Crownsville5.3%3.0%(+2.27)#854.5%(+0.841)#9,981
86.Cedar Heights5.3%3.0%(+2.25)#864.5%(+0.819)#10,013
87.Salisbury5.2%3.0%(+2.21)#874.5%(+0.775)#10,097
88.Randallstown5.2%3.0%(+2.20)#884.5%(+0.765)#10,110
89.Cresaptown5.1%3.0%(+2.10)#894.5%(+0.666)#10,240
90.Charlotte Hall5.1%3.0%(+2.07)#904.5%(+0.634)#10,292
91.Jarrettsville5.0%3.0%(+2.00)#914.5%(+0.567)#10,384
92.Beltsville5.0%3.0%(+1.96)#924.5%(+0.531)#10,468
93.Perryville4.9%3.0%(+1.90)#934.5%(+0.465)#10,561
94.Elkton4.9%3.0%(+1.87)#944.5%(+0.439)#10,602
95.Pikesville4.9%3.0%(+1.85)#954.5%(+0.415)#10,639
96.Halfway4.8%3.0%(+1.73)#964.5%(+0.292)#10,859
97.Boonsboro4.7%3.0%(+1.70)#974.5%(+0.262)#10,882
98.Hillcrest Heights4.6%3.0%(+1.58)#984.5%(+0.144)#11,090
99.Laurel4.6%3.0%(+1.53)#994.5%(+0.102)#11,166
100.Snow Hill4.6%3.0%(+1.53)#1004.5%(+0.101)#11,169

Common Questions

What are the Top 10 Cities with the Highest Poverty Level Among Married Couples in Maryland?
Top 10 Cities with the Highest Poverty Level Among Married Couples in Maryland are:
#1
61.8%
#2
42.9%
#3
37.5%
#4
33.3%
#5
31.2%
#6
25.7%
#7
25.6%
#8
25.6%
#9
23.1%
#10
22.3%
What city has the Highest Poverty Level Among Married Couples in Maryland?
Rohrersville has the Highest Poverty Level Among Married Couples in Maryland with 61.8%.
What is the Poverty Level Among Married Couples in the State of Maryland?
Poverty Level Among Married Couples in Maryland is 3.0%.
What is the Poverty Level Among Married Couples in the United States?
Poverty Level Among Married Couples in the United States is 4.5%.