Cities with the Fewest Births per 1,000 Women Below Poverty Level in Maryland

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Lowest Birth Rate | Below Poverty
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
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Comparison Subject

Map of Cities with the Fewest Births per 1,000 Women Below Poverty Level in Maryland

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Cities with the Fewest Births per 1,000 Women Below Poverty Level in Maryland Map

Cities with the Fewest Births per 1,000 Women Below Poverty Level in Maryland

City Births / 1,000 Women vs State vs National
1.Camp Springs2.052.0(-50.0)#153.0(-51.0)#6
2.Chevy Chase Village7.052.0(-45.0)#253.0(-46.0)#194
3.Marlow Heights8.052.0(-44.0)#353.0(-45.0)#259
4.Woodmore8.052.0(-44.0)#453.0(-45.0)#270
5.Friendship Heights Village10.052.0(-42.0)#553.0(-43.0)#454
6.Sharptown10.052.0(-42.0)#653.0(-43.0)#525
7.Accokeek11.052.0(-41.0)#753.0(-42.0)#549
8.Fountainhead Orchard Hills11.052.0(-41.0)#853.0(-42.0)#564
9.Berlin11.052.0(-41.0)#953.0(-42.0)#570
10.Morningside12.052.0(-40.0)#1053.0(-41.0)#730
11.Grantsville12.052.0(-40.0)#1153.0(-41.0)#739
12.Cecilton12.052.0(-40.0)#1253.0(-41.0)#744
13.Upper Marlboro13.052.0(-39.0)#1353.0(-40.0)#882
14.Cloverly14.052.0(-38.0)#1453.0(-39.0)#924
15.Grasonville14.052.0(-38.0)#1553.0(-39.0)#962
16.Queensland14.052.0(-38.0)#1653.0(-39.0)#982
17.Galena14.052.0(-38.0)#1753.0(-39.0)#1,031
18.Millington14.052.0(-38.0)#1853.0(-39.0)#1,034
19.Parole15.052.0(-37.0)#1953.0(-38.0)#1,069
20.Marlton16.052.0(-36.0)#2053.0(-37.0)#1,236
21.Aberdeen Proving Ground16.052.0(-36.0)#2153.0(-37.0)#1,293
22.Glen Echo16.052.0(-36.0)#2253.0(-37.0)#1,392
23.National Harbor17.052.0(-35.0)#2353.0(-36.0)#1,442
24.Salisbury18.052.0(-34.0)#2453.0(-35.0)#1,560
25.Coral Hills18.052.0(-34.0)#2553.0(-35.0)#1,578
26.Edgemere18.052.0(-34.0)#2653.0(-35.0)#1,581
27.Forest Heights18.052.0(-34.0)#2753.0(-35.0)#1,628
28.Spring Ridge19.052.0(-33.0)#2853.0(-34.0)#1,782
29.Bensville20.052.0(-32.0)#2953.0(-33.0)#1,920
30.California21.052.0(-31.0)#3053.0(-32.0)#2,089
31.Halfway21.052.0(-31.0)#3153.0(-32.0)#2,099
32.Dunkirk21.052.0(-31.0)#3253.0(-32.0)#2,142
33.Crownsville21.052.0(-31.0)#3353.0(-32.0)#2,171
34.College Park22.052.0(-30.0)#3453.0(-31.0)#2,251
35.Kitzmiller22.052.0(-30.0)#3553.0(-31.0)#2,441
36.Barnesville22.052.0(-30.0)#3653.0(-31.0)#2,445
37.Bel Air23.052.0(-29.0)#3753.0(-30.0)#2,488
38.Edgewater23.052.0(-29.0)#3853.0(-30.0)#2,497
39.Middletown23.052.0(-29.0)#3953.0(-30.0)#2,515
40.Perryville23.052.0(-29.0)#4053.0(-30.0)#2,520
41.Jefferson23.052.0(-29.0)#4153.0(-30.0)#2,539
42.Linthicum24.052.0(-28.0)#4253.0(-29.0)#2,654
43.Riva24.052.0(-28.0)#4353.0(-29.0)#2,681
44.Carney25.052.0(-27.0)#4453.0(-28.0)#2,850
45.Centreville25.052.0(-27.0)#4553.0(-28.0)#2,891
46.St James25.052.0(-27.0)#4653.0(-28.0)#2,902
47.Derwood25.052.0(-27.0)#4753.0(-28.0)#2,939
48.Colmar Manor25.052.0(-27.0)#4853.0(-28.0)#2,954
49.Keedysville25.052.0(-27.0)#4953.0(-28.0)#2,970
50.Mountain Lake Park26.052.0(-26.0)#5053.0(-27.0)#3,151
51.Glen Burnie27.052.0(-25.0)#5153.0(-26.0)#3,247
52.Capitol Heights27.052.0(-25.0)#5253.0(-26.0)#3,311
53.Drum Point27.052.0(-25.0)#5353.0(-26.0)#3,327
54.Braddock Heights27.052.0(-25.0)#5453.0(-26.0)#3,329
55.Somerset27.052.0(-25.0)#5553.0(-26.0)#3,379
56.Clinton28.052.0(-24.0)#5653.0(-25.0)#3,440
57.Fort Washington28.052.0(-24.0)#5753.0(-25.0)#3,451
58.Arnold28.052.0(-24.0)#5853.0(-25.0)#3,454
59.Mechanicsville28.052.0(-24.0)#5953.0(-25.0)#3,561
60.Bethesda29.052.0(-23.0)#6053.0(-24.0)#3,635
61.Walker Mill29.052.0(-23.0)#6153.0(-24.0)#3,680
62.North Kensington29.052.0(-23.0)#6253.0(-24.0)#3,687
63.Delmar29.052.0(-23.0)#6353.0(-24.0)#3,728
64.Bryans Road30.052.0(-22.0)#6453.0(-23.0)#3,921
65.Chesapeake Beach30.052.0(-22.0)#6553.0(-23.0)#3,934
66.Chestertown30.052.0(-22.0)#6653.0(-23.0)#3,939
67.Lusby30.052.0(-22.0)#6753.0(-23.0)#3,997
68.Willards30.052.0(-22.0)#6853.0(-23.0)#4,033
69.Loch Lynn Heights30.052.0(-22.0)#6953.0(-23.0)#4,070
70.Chester31.052.0(-21.0)#7053.0(-22.0)#4,187
71.Mays Chapel32.052.0(-20.0)#7153.0(-21.0)#4,377
72.Darnestown32.052.0(-20.0)#7253.0(-21.0)#4,409
73.Smithsburg32.052.0(-20.0)#7353.0(-21.0)#4,439
74.University Park32.052.0(-20.0)#7453.0(-21.0)#4,448
75.Ellicott City33.052.0(-19.0)#7553.0(-20.0)#4,544
76.Essex33.052.0(-19.0)#7653.0(-20.0)#4,553
77.North Potomac33.052.0(-19.0)#7753.0(-20.0)#4,564
78.Adelphi33.052.0(-19.0)#7853.0(-20.0)#4,574
79.Crisfield33.052.0(-19.0)#7953.0(-20.0)#4,659
80.Lake Shore34.052.0(-18.0)#8053.0(-19.0)#4,814
81.Layhill34.052.0(-18.0)#8153.0(-19.0)#4,884
82.Golden Beach34.052.0(-18.0)#8253.0(-19.0)#4,904
83.Melwood34.052.0(-18.0)#8353.0(-19.0)#4,911
84.Owings34.052.0(-18.0)#8453.0(-19.0)#4,936
85.Potomac35.052.0(-17.0)#8553.0(-18.0)#5,045
86.Chevy Chase35.052.0(-17.0)#8653.0(-18.0)#5,092
87.Temple Hills35.052.0(-17.0)#8753.0(-18.0)#5,103
88.Savage35.052.0(-17.0)#8853.0(-18.0)#5,106
89.Walkersville35.052.0(-17.0)#8953.0(-18.0)#5,115
90.Manchester35.052.0(-17.0)#9053.0(-18.0)#5,124
91.Denton35.052.0(-17.0)#9153.0(-18.0)#5,131
92.Lonaconing35.052.0(-17.0)#9253.0(-18.0)#5,204
93.Havre De Grace36.052.0(-16.0)#9353.0(-17.0)#5,291
94.Kettering36.052.0(-16.0)#9453.0(-17.0)#5,297
95.Oakland36.052.0(-16.0)#9553.0(-17.0)#5,394
96.Port Deposit36.052.0(-16.0)#9653.0(-17.0)#5,461
97.Fallston37.052.0(-15.0)#9753.0(-16.0)#5,569
98.Ashton Sandy Spring37.052.0(-15.0)#9853.0(-16.0)#5,602
99.North Beach37.052.0(-15.0)#9953.0(-16.0)#5,637
100.Scaggsville38.052.0(-14.0)#10053.0(-15.0)#5,795

Common Questions

What are the Top 10 Cities with the Fewest Births per 1,000 Women Below Poverty Level in Maryland?
Top 10 Cities with the Fewest Births per 1,000 Women Below Poverty Level in Maryland are:
What city has the Fewest Births per 1,000 Women Below Poverty Level in Maryland?
Camp Springs has the Fewest Births per 1,000 Women Below Poverty Level in Maryland with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Maryland?
Number of Births per 1,000 Women Below Poverty Level in Maryland is 52.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.