Cities with the Most Births per 1,000 Women Receiving Public Assitance in Maryland

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Highest Birth Rate | Public Income
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
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Commute Means
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Education by Degree Field
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Maryland
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Comparison Subject

Map of Cities with the Most Births per 1,000 Women Receiving Public Assitance in Maryland

0.0
1,000.0
Cities with the Most Births per 1,000 Women Receiving Public Assitance in Maryland Map

Cities with the Most Births per 1,000 Women Receiving Public Assitance in Maryland

City Births / 1,000 Women vs State vs National
1.Pondsville1,000.051.0(+949)#152.0(+948)#22
2.Dargan636.051.0(+585)#252.0(+584)#152
3.Antietam571.051.0(+520)#352.0(+519)#189
4.Friendship464.051.0(+413)#452.0(+412)#262
5.Brookview400.051.0(+349)#552.0(+348)#350
6.Corriganville367.051.0(+316)#652.0(+315)#401
7.Aquasco356.051.0(+305)#752.0(+304)#427
8.Fishing Creek321.051.0(+270)#852.0(+269)#535
9.Bagtown318.051.0(+267)#952.0(+266)#552
10.Flintstone280.051.0(+229)#1052.0(+228)#713
11.Edgemont255.051.0(+204)#1152.0(+203)#846
12.Accident253.051.0(+202)#1252.0(+201)#857
13.Goldsboro244.051.0(+193)#1352.0(+192)#928
14.Zihlman235.051.0(+184)#1452.0(+183)#987
15.Cedar Heights226.051.0(+175)#1552.0(+174)#1,072
16.Konterra212.051.0(+161)#1652.0(+160)#1,206
17.Midland190.051.0(+139)#1752.0(+138)#1,450
18.Piney Point182.051.0(+131)#1852.0(+130)#1,565
19.Eden180.051.0(+129)#1952.0(+128)#1,605
20.Lansdowne165.051.0(+114)#2052.0(+113)#1,864
21.Hancock163.051.0(+112)#2152.0(+111)#1,913
22.Andrews Afb156.051.0(+105)#2252.0(+104)#2,073
23.North Brentwood154.051.0(+103)#2352.0(+102)#2,127
24.Pocomoke City149.051.0(+98.0)#2452.0(+97.0)#2,270
25.Westernport145.051.0(+94.0)#2552.0(+93.0)#2,390
26.Leonardtown144.051.0(+93.0)#2652.0(+92.0)#2,429
27.Shaft140.051.0(+89.0)#2752.0(+88.0)#2,611
28.Abingdon136.051.0(+85.0)#2852.0(+84.0)#2,709
29.Bladensburg128.051.0(+77.0)#2952.0(+76.0)#3,032
30.Hughesville128.051.0(+77.0)#3052.0(+76.0)#3,044
31.Federalsburg126.051.0(+75.0)#3152.0(+74.0)#3,131
32.Easton125.051.0(+74.0)#3252.0(+73.0)#3,156
33.Arden On The Severn124.051.0(+73.0)#3352.0(+72.0)#3,236
34.Beaver Creek119.051.0(+68.0)#3452.0(+67.0)#3,496
35.Fairmount Heights116.051.0(+65.0)#3552.0(+64.0)#3,645
36.Garrett Park116.051.0(+65.0)#3652.0(+64.0)#3,654
37.Edmonston115.051.0(+64.0)#3752.0(+63.0)#3,696
38.Maryland Park113.051.0(+62.0)#3852.0(+61.0)#3,833
39.Mardela Springs110.051.0(+59.0)#3952.0(+58.0)#4,040
40.Baden106.051.0(+55.0)#4052.0(+54.0)#4,267
41.Berwyn Heights105.051.0(+54.0)#4152.0(+53.0)#4,316
42.Sudlersville105.051.0(+54.0)#4252.0(+53.0)#4,356
43.Woodlawn Cdp Prince George S County104.051.0(+53.0)#4352.0(+52.0)#4,379
44.Darlington104.051.0(+53.0)#4452.0(+52.0)#4,426
45.Kensington101.051.0(+50.0)#4552.0(+49.0)#4,623
46.Marydel100.051.0(+49.0)#4652.0(+48.0)#4,746
47.Redland99.051.0(+48.0)#4752.0(+47.0)#4,766
48.Arbutus96.051.0(+45.0)#4852.0(+44.0)#5,000
49.Seabrook95.051.0(+44.0)#4952.0(+43.0)#5,103
50.New Windsor95.051.0(+44.0)#5052.0(+43.0)#5,151
51.Fairplay94.051.0(+43.0)#5152.0(+42.0)#5,261
52.Ocean Pines93.051.0(+42.0)#5252.0(+41.0)#5,287
53.Greensboro93.051.0(+42.0)#5352.0(+41.0)#5,315
54.Landover92.051.0(+41.0)#5452.0(+40.0)#5,381
55.Mount Airy92.051.0(+41.0)#5552.0(+40.0)#5,390
56.Hyattsville91.051.0(+40.0)#5652.0(+39.0)#5,466
57.Linganore90.051.0(+39.0)#5752.0(+38.0)#5,569
58.Washington Grove90.051.0(+39.0)#5852.0(+38.0)#5,630
59.Perryman89.051.0(+38.0)#5952.0(+37.0)#5,680
60.Princess Anne88.051.0(+37.0)#6052.0(+36.0)#5,771
61.Ferndale87.051.0(+36.0)#6152.0(+35.0)#5,846
62.Fort Meade87.051.0(+36.0)#6252.0(+35.0)#5,853
63.Huntingtown87.051.0(+36.0)#6352.0(+35.0)#5,881
64.Bartonsville87.051.0(+36.0)#6452.0(+35.0)#5,890
65.Laytonsville87.051.0(+36.0)#6552.0(+35.0)#5,917
66.Middle River86.051.0(+35.0)#6652.0(+34.0)#5,942
67.Takoma Park85.051.0(+34.0)#6752.0(+33.0)#6,047
68.Landover Hills85.051.0(+34.0)#6852.0(+33.0)#6,087
69.Largo84.051.0(+33.0)#6952.0(+32.0)#6,148
70.Langley Park83.051.0(+32.0)#7052.0(+31.0)#6,247
71.Springdale83.051.0(+32.0)#7152.0(+31.0)#6,270
72.Prince Frederick83.051.0(+32.0)#7252.0(+31.0)#6,285
73.Chevy Chase Section Five83.051.0(+32.0)#7352.0(+31.0)#6,313
74.White Oak82.051.0(+31.0)#7452.0(+30.0)#6,392
75.Mayo82.051.0(+31.0)#7552.0(+30.0)#6,403
76.Taneytown82.051.0(+31.0)#7652.0(+30.0)#6,407
77.Burnt Mills82.051.0(+31.0)#7752.0(+30.0)#6,422
78.Brentwood82.051.0(+31.0)#7852.0(+30.0)#6,428
79.Paramount Long Meadow82.051.0(+31.0)#7952.0(+30.0)#6,432
80.Rising Sun82.051.0(+31.0)#8052.0(+30.0)#6,433
81.Charlotte Hall82.051.0(+31.0)#8152.0(+30.0)#6,458
82.Waldorf81.051.0(+30.0)#8252.0(+29.0)#6,510
83.Hagerstown81.051.0(+30.0)#8352.0(+29.0)#6,512
84.Long Beach81.051.0(+30.0)#8452.0(+29.0)#6,575
85.North Chevy Chase81.051.0(+30.0)#8552.0(+29.0)#6,604
86.Barton81.051.0(+30.0)#8652.0(+29.0)#6,607
87.New Carrollton80.051.0(+29.0)#8752.0(+28.0)#6,648
88.Jessup80.051.0(+29.0)#8852.0(+28.0)#6,659
89.Cheverly80.051.0(+29.0)#8952.0(+28.0)#6,668
90.Deale80.051.0(+29.0)#9052.0(+28.0)#6,680
91.Romancoke80.051.0(+29.0)#9152.0(+28.0)#6,704
92.South Kensington78.051.0(+27.0)#9252.0(+26.0)#6,902
93.Fruitland78.051.0(+27.0)#9352.0(+26.0)#6,908
94.Mount Aetna78.051.0(+27.0)#9452.0(+26.0)#6,977
95.Burtonsville77.051.0(+26.0)#9552.0(+25.0)#7,013
96.Four Corners77.051.0(+26.0)#9652.0(+25.0)#7,022
97.Ridgely77.051.0(+26.0)#9752.0(+25.0)#7,066
98.Wildewood76.051.0(+25.0)#9852.0(+24.0)#7,182
99.Rossville75.051.0(+24.0)#9952.0(+23.0)#7,268
100.Wilson Conococheague75.051.0(+24.0)#10052.0(+23.0)#7,334

Common Questions

What are the Top 10 Cities with the Most Births per 1,000 Women Receiving Public Assitance in Maryland?
Top 10 Cities with the Most Births per 1,000 Women Receiving Public Assitance in Maryland are:
#1
1,000.0
#2
636.0
#3
571.0
#4
464.0
#5
400.0
#6
367.0
#7
356.0
#8
321.0
#9
318.0
#10
280.0
What city has the Most Births per 1,000 Women Receiving Public Assitance in Maryland?
Pondsville has the Most Births per 1,000 Women Receiving Public Assitance in Maryland with 1,000.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the State of Maryland?
Number of Births per 1,000 Women Receiving Public Assitance in Maryland is 51.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the United States?
Number of Births per 1,000 Women Receiving Public Assitance in the United States is 52.0.