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

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Lowest 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 Fewest Births per 1,000 Women Over the Age of 35 in Maryland

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

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

City Births / 1,000 Women vs State vs National
1.Milford Mill3.038.0(-35.0)#132.0(-29.0)#33
2.Lexington Park3.038.0(-35.0)#232.0(-29.0)#50
3.Middletown7.038.0(-31.0)#332.0(-25.0)#308
4.Cockeysville8.038.0(-30.0)#432.0(-24.0)#351
5.Silver Hill9.038.0(-29.0)#532.0(-23.0)#499
6.St James9.038.0(-29.0)#632.0(-23.0)#503
7.Havre De Grace10.038.0(-28.0)#732.0(-22.0)#566
8.Bel Air10.038.0(-28.0)#832.0(-22.0)#590
9.Marlow Heights10.038.0(-28.0)#932.0(-22.0)#618
10.Peppermill Village10.038.0(-28.0)#1032.0(-22.0)#621
11.Seabrook11.038.0(-27.0)#1132.0(-21.0)#678
12.Salisbury12.038.0(-26.0)#1232.0(-20.0)#806
13.Suitland12.038.0(-26.0)#1332.0(-20.0)#816
14.Indian Head12.038.0(-26.0)#1432.0(-20.0)#888
15.Forest Heights12.038.0(-26.0)#1532.0(-20.0)#891
16.Lonaconing12.038.0(-26.0)#1632.0(-20.0)#906
17.Cumberland13.038.0(-25.0)#1732.0(-19.0)#949
18.Maryland City13.038.0(-25.0)#1832.0(-19.0)#952
19.Summerfield13.038.0(-25.0)#1932.0(-19.0)#958
20.Mays Chapel13.038.0(-25.0)#2032.0(-19.0)#972
21.Coral Hills13.038.0(-25.0)#2132.0(-19.0)#984
22.Riva13.038.0(-25.0)#2232.0(-19.0)#1,005
23.Owings Mills14.038.0(-24.0)#2332.0(-18.0)#1,061
24.Bensville14.038.0(-24.0)#2432.0(-18.0)#1,094
25.Accokeek14.038.0(-24.0)#2532.0(-18.0)#1,099
26.Konterra14.038.0(-24.0)#2632.0(-18.0)#1,145
27.Cape St Claire15.038.0(-23.0)#2732.0(-17.0)#1,240
28.Kingsville15.038.0(-23.0)#2832.0(-17.0)#1,267
29.Woodmore15.038.0(-23.0)#2932.0(-17.0)#1,269
30.Ferndale16.038.0(-22.0)#3032.0(-16.0)#1,350
31.Friendly16.038.0(-22.0)#3132.0(-16.0)#1,365
32.Four Corners16.038.0(-22.0)#3232.0(-16.0)#1,384
33.Rosedale17.038.0(-21.0)#3332.0(-15.0)#1,505
34.Parole17.038.0(-21.0)#3432.0(-15.0)#1,508
35.Westphalia17.038.0(-21.0)#3532.0(-15.0)#1,522
36.Hampstead17.038.0(-21.0)#3632.0(-15.0)#1,556
37.Ellicott City18.038.0(-20.0)#3732.0(-14.0)#1,636
38.Pikesville18.038.0(-20.0)#3832.0(-14.0)#1,653
39.Marlboro Meadows18.038.0(-20.0)#3932.0(-14.0)#1,741
40.Hebron18.038.0(-20.0)#4032.0(-14.0)#1,785
41.Glen Burnie19.038.0(-19.0)#4132.0(-13.0)#1,807
42.Kettering19.038.0(-19.0)#4232.0(-13.0)#1,866
43.Bryans Road19.038.0(-19.0)#4332.0(-13.0)#1,887
44.University Park19.038.0(-19.0)#4432.0(-13.0)#1,920
45.Snow Hill19.038.0(-19.0)#4532.0(-13.0)#1,928
46.Keedysville19.038.0(-19.0)#4632.0(-13.0)#1,957
47.Urbana20.038.0(-18.0)#4732.0(-12.0)#2,032
48.Gambrills20.038.0(-18.0)#4832.0(-12.0)#2,088
49.Rising Sun20.038.0(-18.0)#4932.0(-12.0)#2,091
50.Rossville21.038.0(-17.0)#5032.0(-11.0)#2,195
51.California21.038.0(-17.0)#5132.0(-11.0)#2,204
52.Marlton21.038.0(-17.0)#5232.0(-11.0)#2,218
53.North Potomac22.038.0(-16.0)#5332.0(-10.00)#2,348
54.Damascus22.038.0(-16.0)#5432.0(-10.00)#2,365
55.Cloverly22.038.0(-16.0)#5532.0(-10.00)#2,367
56.Annapolis Neck22.038.0(-16.0)#5632.0(-10.00)#2,379
57.Rosaryville22.038.0(-16.0)#5732.0(-10.00)#2,382
58.Chesapeake Beach22.038.0(-16.0)#5832.0(-10.00)#2,405
59.Church Hill22.038.0(-16.0)#5932.0(-10.00)#2,464
60.Reisterstown23.038.0(-15.0)#6032.0(-9.00)#2,521
61.Ballenger Creek23.038.0(-15.0)#6132.0(-9.00)#2,529
62.West Ocean City23.038.0(-15.0)#6232.0(-9.00)#2,585
63.Grasonville23.038.0(-15.0)#6332.0(-9.00)#2,598
64.Willards23.038.0(-15.0)#6432.0(-9.00)#2,647
65.Upper Marlboro23.038.0(-15.0)#6532.0(-9.00)#2,659
66.Dundalk24.038.0(-14.0)#6632.0(-8.00)#2,690
67.Clinton24.038.0(-14.0)#6732.0(-8.00)#2,699
68.Carney24.038.0(-14.0)#6832.0(-8.00)#2,706
69.Langley Park24.038.0(-14.0)#6932.0(-8.00)#2,723
70.Woodlawn Cdp Baltimore County25.038.0(-13.0)#7032.0(-7.00)#2,889
71.Essex25.038.0(-13.0)#7132.0(-7.00)#2,891
72.East Riverdale25.038.0(-13.0)#7232.0(-7.00)#2,915
73.Lake Shore26.038.0(-12.0)#7332.0(-6.00)#3,074
74.Cambridge26.038.0(-12.0)#7432.0(-6.00)#3,086
75.Mayo26.038.0(-12.0)#7532.0(-6.00)#3,106
76.Chevy Chase Section Five26.038.0(-12.0)#7632.0(-6.00)#3,189
77.Pasadena27.038.0(-11.0)#7732.0(-5.00)#3,232
78.Green Valley27.038.0(-11.0)#7832.0(-5.00)#3,270
79.Frostburg27.038.0(-11.0)#7932.0(-5.00)#3,298
80.Walkersville27.038.0(-11.0)#8032.0(-5.00)#3,305
81.West Laurel27.038.0(-11.0)#8132.0(-5.00)#3,317
82.Chevy Chase Section Three27.038.0(-11.0)#8232.0(-5.00)#3,359
83.Sharptown27.038.0(-11.0)#8332.0(-5.00)#3,370
84.Arnold28.038.0(-10.00)#8432.0(-4.00)#3,421
85.Joppatowne28.038.0(-10.00)#8532.0(-4.00)#3,458
86.Severna Park29.038.0(-9.00)#8632.0(-3.00)#3,588
87.Eldersburg29.038.0(-9.00)#8732.0(-3.00)#3,597
88.Chesapeake Ranch Estates29.038.0(-9.00)#8832.0(-3.00)#3,629
89.Cheverly29.038.0(-9.00)#8932.0(-3.00)#3,649
90.Queensland29.038.0(-9.00)#9032.0(-3.00)#3,685
91.Baltimore30.038.0(-8.00)#9132.0(-2.00)#3,743
92.Columbia30.038.0(-8.00)#9232.0(-2.00)#3,755
93.Rockville30.038.0(-8.00)#9332.0(-2.00)#3,766
94.Crofton30.038.0(-8.00)#9432.0(-2.00)#3,790
95.Overlea30.038.0(-8.00)#9532.0(-2.00)#3,824
96.Garrison30.038.0(-8.00)#9632.0(-2.00)#3,832
97.Marlboro Village30.038.0(-8.00)#9732.0(-2.00)#3,834
98.New Windsor30.038.0(-8.00)#9832.0(-2.00)#3,911
99.Glenmont31.038.0(-7.00)#9932.0(-1.000)#4,008
100.Brooklyn Park31.038.0(-7.00)#10032.0(-1.000)#4,010

Common Questions

What are the Top 10 Cities with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland?
Top 10 Cities with the Fewest Births per 1,000 Women Over the Age of 35 in Maryland are:
What city has the Fewest Births per 1,000 Women Over the Age of 35 in Maryland?
Milford Mill has the Fewest Births per 1,000 Women Over the Age of 35 in Maryland with 3.0.
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.