Cities with the Lowest Births per 1,000 Women in Labor Force in Maryland

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Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in Maryland

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Cities with the Lowest Births per 1,000 Women in Labor Force in Maryland Map

Cities with the Lowest Births per 1,000 Women in Labor Force in Maryland

City Births / 1,000 Women vs State vs National
1.Havre De Grace2.050.0(-48.0)#148.0(-46.0)#9
2.Edgewater5.050.0(-45.0)#248.0(-43.0)#69
3.Galena5.050.0(-45.0)#348.0(-43.0)#97
4.Edgemere6.050.0(-44.0)#448.0(-42.0)#104
5.Marlow Heights6.050.0(-44.0)#548.0(-42.0)#113
6.Peppermill Village6.050.0(-44.0)#648.0(-42.0)#115
7.Chestertown7.050.0(-43.0)#748.0(-41.0)#166
8.Layhill7.050.0(-43.0)#848.0(-41.0)#170
9.Friendship Heights Village11.050.0(-39.0)#948.0(-37.0)#531
10.Church Hill11.050.0(-39.0)#1048.0(-37.0)#574
11.Sharptown11.050.0(-39.0)#1148.0(-37.0)#584
12.Woodmore12.050.0(-38.0)#1248.0(-36.0)#637
13.Forest Heights12.050.0(-38.0)#1348.0(-36.0)#657
14.Parole13.050.0(-37.0)#1448.0(-35.0)#720
15.California13.050.0(-37.0)#1548.0(-35.0)#727
16.Accokeek13.050.0(-37.0)#1648.0(-35.0)#728
17.Middletown13.050.0(-37.0)#1748.0(-35.0)#759
18.Berlin14.050.0(-36.0)#1848.0(-34.0)#892
19.Upper Marlboro14.050.0(-36.0)#1948.0(-34.0)#965
20.Halfway15.050.0(-35.0)#2048.0(-33.0)#1,012
21.Darnestown16.050.0(-34.0)#2148.0(-32.0)#1,161
22.Grasonville16.050.0(-34.0)#2248.0(-32.0)#1,188
23.New Market16.050.0(-34.0)#2348.0(-32.0)#1,220
24.Colmar Manor16.050.0(-34.0)#2448.0(-32.0)#1,222
25.Salisbury17.050.0(-33.0)#2548.0(-31.0)#1,285
26.Linthicum17.050.0(-33.0)#2648.0(-31.0)#1,303
27.District Heights17.050.0(-33.0)#2748.0(-31.0)#1,328
28.Cecilton17.050.0(-33.0)#2848.0(-31.0)#1,405
29.National Harbor18.050.0(-32.0)#2948.0(-30.0)#1,511
30.Marlton19.050.0(-31.0)#3048.0(-29.0)#1,659
31.Burnt Mills19.050.0(-31.0)#3148.0(-29.0)#1,690
32.Cloverly20.050.0(-30.0)#3248.0(-28.0)#1,804
33.College Park21.050.0(-29.0)#3348.0(-27.0)#1,968
34.Coral Hills21.050.0(-29.0)#3448.0(-27.0)#2,009
35.Hurlock21.050.0(-29.0)#3548.0(-27.0)#2,067
36.Glassmanor22.050.0(-28.0)#3648.0(-26.0)#2,160
37.Aberdeen Proving Ground22.050.0(-28.0)#3748.0(-26.0)#2,232
38.Glen Burnie23.050.0(-27.0)#3848.0(-25.0)#2,324
39.Spring Ridge23.050.0(-27.0)#3948.0(-25.0)#2,390
40.Millington23.050.0(-27.0)#4048.0(-25.0)#2,493
41.Adelphi24.050.0(-26.0)#4148.0(-24.0)#2,562
42.Queensland24.050.0(-26.0)#4248.0(-24.0)#2,648
43.Kettering25.050.0(-25.0)#4348.0(-23.0)#2,769
44.Walkersville26.050.0(-24.0)#4448.0(-22.0)#2,996
45.Kitzmiller26.050.0(-24.0)#4548.0(-22.0)#3,118
46.Bryans Road27.050.0(-23.0)#4648.0(-21.0)#3,176
47.Chesapeake Beach27.050.0(-23.0)#4748.0(-21.0)#3,188
48.Greenbelt28.050.0(-22.0)#4848.0(-20.0)#3,338
49.Walker Mill28.050.0(-22.0)#4948.0(-20.0)#3,371
50.Seat Pleasant28.050.0(-22.0)#5048.0(-20.0)#3,399
51.Chester28.050.0(-22.0)#5148.0(-20.0)#3,401
52.St James28.050.0(-22.0)#5248.0(-20.0)#3,408
53.Smithsburg28.050.0(-22.0)#5348.0(-20.0)#3,422
54.North Kensington29.050.0(-21.0)#5448.0(-19.0)#3,553
55.Lutherville29.050.0(-21.0)#5548.0(-19.0)#3,564
56.Centreville29.050.0(-21.0)#5648.0(-19.0)#3,578
57.Glen Echo29.050.0(-21.0)#5748.0(-19.0)#3,702
58.Scaggsville30.050.0(-20.0)#5848.0(-18.0)#3,769
59.Bel Air30.050.0(-20.0)#5948.0(-18.0)#3,770
60.Clinton31.050.0(-19.0)#6048.0(-17.0)#3,919
61.Bensville31.050.0(-19.0)#6148.0(-17.0)#3,948
62.Colesville31.050.0(-19.0)#6248.0(-17.0)#3,953
63.Garrison31.050.0(-19.0)#6348.0(-17.0)#3,964
64.Riva31.050.0(-19.0)#6448.0(-17.0)#3,995
65.Mountain Lake Park31.050.0(-19.0)#6548.0(-17.0)#4,039
66.Carney32.050.0(-18.0)#6648.0(-16.0)#4,130
67.Green Valley32.050.0(-18.0)#6748.0(-16.0)#4,156
68.Towson33.050.0(-17.0)#6848.0(-15.0)#4,315
69.Essex33.050.0(-17.0)#6948.0(-15.0)#4,323
70.Perry Hall33.050.0(-17.0)#7048.0(-15.0)#4,334
71.Fort Washington33.050.0(-17.0)#7148.0(-15.0)#4,338
72.Hillcrest Heights33.050.0(-17.0)#7248.0(-15.0)#4,351
73.Derwood33.050.0(-17.0)#7348.0(-15.0)#4,455
74.Bethesda34.050.0(-16.0)#7448.0(-14.0)#4,534
75.Beltsville34.050.0(-16.0)#7548.0(-14.0)#4,561
76.Cape St Claire34.050.0(-16.0)#7648.0(-14.0)#4,587
77.Savage34.050.0(-16.0)#7748.0(-14.0)#4,597
78.Capitol Heights34.050.0(-16.0)#7848.0(-14.0)#4,634
79.Mechanicsville34.050.0(-16.0)#7948.0(-14.0)#4,664
80.Crownsville34.050.0(-16.0)#8048.0(-14.0)#4,678
81.Arnold35.050.0(-15.0)#8148.0(-13.0)#4,777
82.Annapolis Neck35.050.0(-15.0)#8248.0(-13.0)#4,800
83.Delmar35.050.0(-15.0)#8348.0(-13.0)#4,840
84.Temple Hills36.050.0(-14.0)#8448.0(-12.0)#5,005
85.Robinwood36.050.0(-14.0)#8548.0(-12.0)#5,008
86.West Laurel36.050.0(-14.0)#8648.0(-12.0)#5,033
87.Marlboro Meadows36.050.0(-14.0)#8748.0(-12.0)#5,046
88.New Windsor36.050.0(-14.0)#8848.0(-12.0)#5,094
89.Takoma Park37.050.0(-13.0)#8948.0(-11.0)#5,210
90.Mays Chapel37.050.0(-13.0)#9048.0(-11.0)#5,229
91.Chesapeake Ranch Estates37.050.0(-13.0)#9148.0(-11.0)#5,238
92.Betterton37.050.0(-13.0)#9248.0(-11.0)#5,367
93.Ellicott City38.050.0(-12.0)#9348.0(-10.00)#5,384
94.Chillum38.050.0(-12.0)#9448.0(-10.00)#5,403
95.Owings Mills38.050.0(-12.0)#9548.0(-10.00)#5,405
96.Lochearn38.050.0(-12.0)#9648.0(-10.00)#5,412
97.North Laurel38.050.0(-12.0)#9748.0(-10.00)#5,418
98.Kemp Mill38.050.0(-12.0)#9848.0(-10.00)#5,439
99.Brock Hall38.050.0(-12.0)#9948.0(-10.00)#5,449
100.Baltimore Highlands38.050.0(-12.0)#10048.0(-10.00)#5,474

Common Questions

What are the Top 10 Cities with the Lowest Births per 1,000 Women in Labor Force in Maryland?
Top 10 Cities with the Lowest Births per 1,000 Women in Labor Force in Maryland are:
What city has the Lowest Births per 1,000 Women in Labor Force in Maryland?
Havre De Grace has the Lowest Births per 1,000 Women in Labor Force in Maryland with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Maryland?
Number Births per 1,000 Women in Labor Force in Maryland is 50.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.