Cities with the Most Births per 1,000 Women Over the Age of 35 in Maryland

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Highest Birth Rate | Women 35+
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 Most Births per 1,000 Women Over the Age of 35 in Maryland

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Cities with the Most Births per 1,000 Women Over the Age of 35 in Maryland Map

Cities with the Most Births per 1,000 Women Over the Age of 35 in Maryland

City Births / 1,000 Women vs State vs National
1.Dargan429.038.0(+391)#132.0(+397)#191
2.Cedar Heights413.038.0(+375)#232.0(+381)#208
3.Piney Point333.038.0(+295)#332.0(+301)#275
4.Mount Aetna238.038.0(+200)#432.0(+206)#524
5.Hancock231.038.0(+193)#532.0(+199)#542
6.Arden On The Severn220.038.0(+182)#632.0(+188)#594
7.Leonardtown200.038.0(+162)#732.0(+168)#690
8.Fairplay190.038.0(+152)#832.0(+158)#761
9.Lansdowne181.038.0(+143)#932.0(+149)#820
10.Huntingtown176.038.0(+138)#1032.0(+144)#842
11.Charlotte Hall175.038.0(+137)#1132.0(+143)#854
12.Maryland Park171.038.0(+133)#1232.0(+139)#882
13.Accident171.038.0(+133)#1332.0(+139)#884
14.Garrett Park165.038.0(+127)#1432.0(+133)#937
15.Edmonston160.038.0(+122)#1532.0(+128)#974
16.Hughesville143.038.0(+105)#1632.0(+111)#1,140
17.Burnt Mills135.038.0(+97.0)#1732.0(+103)#1,245
18.Prince Frederick135.038.0(+97.0)#1832.0(+103)#1,247
19.Greensboro134.038.0(+96.0)#1932.0(+102)#1,266
20.District Heights132.038.0(+94.0)#2032.0(+100.0)#1,305
21.Flower Hill131.038.0(+93.0)#2132.0(+99.0)#1,317
22.Westernport127.038.0(+89.0)#2232.0(+95.0)#1,376
23.Sudlersville125.038.0(+87.0)#2332.0(+93.0)#1,414
24.Darlington119.038.0(+81.0)#2432.0(+87.0)#1,518
25.Easton112.038.0(+74.0)#2532.0(+80.0)#1,644
26.Pocomoke City112.038.0(+74.0)#2632.0(+80.0)#1,651
27.New Carrollton109.038.0(+71.0)#2732.0(+77.0)#1,733
28.Bartonsville109.038.0(+71.0)#2832.0(+77.0)#1,738
29.Martin S Additions108.038.0(+70.0)#2932.0(+76.0)#1,763
30.Baden107.038.0(+69.0)#3032.0(+75.0)#1,788
31.Hillandale104.038.0(+66.0)#3132.0(+72.0)#1,854
32.Andrews Afb103.038.0(+65.0)#3232.0(+71.0)#1,879
33.Redland101.038.0(+63.0)#3332.0(+69.0)#1,910
34.Springdale99.038.0(+61.0)#3432.0(+67.0)#1,978
35.Romancoke99.038.0(+61.0)#3532.0(+67.0)#1,990
36.Middle River97.038.0(+59.0)#3632.0(+65.0)#2,016
37.North East97.038.0(+59.0)#3732.0(+65.0)#2,027
38.Myersville94.038.0(+56.0)#3832.0(+62.0)#2,117
39.Oxon Hill93.038.0(+55.0)#3932.0(+61.0)#2,129
40.Riverside92.038.0(+54.0)#4032.0(+60.0)#2,169
41.Kensington92.038.0(+54.0)#4132.0(+60.0)#2,183
42.Bladensburg82.038.0(+44.0)#4232.0(+50.0)#2,487
43.Robinwood82.038.0(+44.0)#4332.0(+50.0)#2,489
44.Elkton81.038.0(+43.0)#4432.0(+49.0)#2,521
45.Mount Airy81.038.0(+43.0)#4532.0(+49.0)#2,524
46.Timonium79.038.0(+41.0)#4632.0(+47.0)#2,587
47.La Plata79.038.0(+41.0)#4732.0(+47.0)#2,589
48.Landover Hills79.038.0(+41.0)#4832.0(+47.0)#2,605
49.Williamsport79.038.0(+41.0)#4932.0(+47.0)#2,607
50.Colesville78.038.0(+40.0)#5032.0(+46.0)#2,620
51.Hampton78.038.0(+40.0)#5132.0(+46.0)#2,628
52.Landover77.038.0(+39.0)#5232.0(+45.0)#2,656
53.Bowleys Quarters76.038.0(+38.0)#5332.0(+44.0)#2,721
54.Monrovia76.038.0(+38.0)#5432.0(+44.0)#2,730
55.Delmar75.038.0(+37.0)#5532.0(+43.0)#2,771
56.Ridgely75.038.0(+37.0)#5632.0(+43.0)#2,778
57.Taneytown74.038.0(+36.0)#5732.0(+42.0)#2,802
58.Fairmount Heights74.038.0(+36.0)#5832.0(+42.0)#2,819
59.Calverton73.038.0(+35.0)#5932.0(+41.0)#2,852
60.Ocean Pines73.038.0(+35.0)#6032.0(+41.0)#2,856
61.Perry Hall72.038.0(+34.0)#6132.0(+40.0)#2,897
62.Jarrettsville72.038.0(+34.0)#6232.0(+40.0)#2,923
63.Melwood71.038.0(+33.0)#6332.0(+39.0)#2,960
64.Forest Glen70.038.0(+32.0)#6432.0(+38.0)#3,020
65.Paramount Long Meadow70.038.0(+32.0)#6532.0(+38.0)#3,031
66.Riviera Beach69.038.0(+31.0)#6632.0(+37.0)#3,051
67.Odenton67.038.0(+29.0)#6732.0(+35.0)#3,139
68.Annapolis67.038.0(+29.0)#6832.0(+35.0)#3,140
69.Arbutus67.038.0(+29.0)#6932.0(+35.0)#3,143
70.Laurel66.038.0(+28.0)#7032.0(+34.0)#3,206
71.Fairwood66.038.0(+28.0)#7132.0(+34.0)#3,222
72.Lutherville65.038.0(+27.0)#7232.0(+33.0)#3,269
73.North Chevy Chase65.038.0(+27.0)#7332.0(+33.0)#3,301
74.Lanham64.038.0(+26.0)#7432.0(+32.0)#3,334
75.Edgewood62.038.0(+24.0)#7532.0(+30.0)#3,455
76.Sykesville62.038.0(+24.0)#7632.0(+30.0)#3,481
77.Pleasant Hills61.038.0(+23.0)#7732.0(+29.0)#3,531
78.North Brentwood61.038.0(+23.0)#7832.0(+29.0)#3,565
79.Bel Air North60.038.0(+22.0)#7932.0(+28.0)#3,582
80.White Oak60.038.0(+22.0)#8032.0(+28.0)#3,591
81.Catonsville59.038.0(+21.0)#8132.0(+27.0)#3,651
82.Chillum59.038.0(+21.0)#8232.0(+27.0)#3,652
83.Glenarden59.038.0(+21.0)#8332.0(+27.0)#3,676
84.Silver Spring58.038.0(+20.0)#8432.0(+26.0)#3,726
85.College Park57.038.0(+19.0)#8532.0(+25.0)#3,788
86.Wheaton56.038.0(+18.0)#8632.0(+24.0)#3,854
87.South Kensington56.038.0(+18.0)#8732.0(+24.0)#3,874
88.Riverdale Park56.038.0(+18.0)#8832.0(+24.0)#3,878
89.Gaithersburg55.038.0(+17.0)#8932.0(+23.0)#3,936
90.Severn55.038.0(+17.0)#9032.0(+23.0)#3,942
91.Brandywine55.038.0(+17.0)#9132.0(+23.0)#3,967
92.Montgomery Village54.038.0(+16.0)#9232.0(+22.0)#4,025
93.Fairland54.038.0(+16.0)#9332.0(+22.0)#4,027
94.Kemp Mill54.038.0(+16.0)#9432.0(+22.0)#4,037
95.Woodlawn Cdp Prince George S County53.038.0(+15.0)#9532.0(+21.0)#4,161
96.Smithsburg53.038.0(+15.0)#9632.0(+21.0)#4,182
97.Randallstown52.038.0(+14.0)#9732.0(+20.0)#4,238
98.Linganore51.038.0(+13.0)#9832.0(+19.0)#4,339
99.Aspen Hill50.038.0(+12.0)#9932.0(+18.0)#4,410
100.Fulton50.038.0(+12.0)#10032.0(+18.0)#4,463

Common Questions

What are the Top 10 Cities with the Most Births per 1,000 Women Over the Age of 35 in Maryland?
Top 10 Cities with the Most Births per 1,000 Women Over the Age of 35 in Maryland are:
What city has the Most Births per 1,000 Women Over the Age of 35 in Maryland?
Dargan has the Most Births per 1,000 Women Over the Age of 35 in Maryland with 429.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Maryland?
Number of Births per 1,000 Women Over the Age of 35 in Maryland is 38.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.