Zip Codes 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
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Maryland Map

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

Zip Code Births / 1,000 Women vs State vs National
1.206871,000.038.0(+962)#132.0(+968)#11
2.217141,000.038.0(+962)#232.0(+968)#17
3.21622294.038.0(+256)#332.0(+262)#233
4.20674273.038.0(+235)#432.0(+241)#265
5.20711270.038.0(+232)#532.0(+238)#276
6.20650215.038.0(+177)#632.0(+183)#412
7.20754195.038.0(+157)#732.0(+163)#498
8.20637177.038.0(+139)#832.0(+145)#593
9.20779175.038.0(+137)#932.0(+143)#614
10.20896165.038.0(+127)#1032.0(+133)#693
11.21733156.038.0(+118)#1132.0(+124)#756
12.21650152.038.0(+114)#1232.0(+120)#803
13.21639146.038.0(+108)#1332.0(+114)#840
14.20611137.038.0(+99.0)#1432.0(+105)#935
15.21919113.038.0(+75.0)#1532.0(+81.0)#1,277
16.20879108.038.0(+70.0)#1632.0(+76.0)#1,352
17.20762103.038.0(+65.0)#1732.0(+71.0)#1,469
18.21227100.038.0(+62.0)#1832.0(+68.0)#1,527
19.2183799.038.0(+61.0)#1932.0(+67.0)#1,573
20.2087797.038.0(+59.0)#2032.0(+65.0)#1,616
21.2160196.038.0(+58.0)#2132.0(+64.0)#1,642
22.2075991.038.0(+53.0)#2232.0(+59.0)#1,807
23.2103491.038.0(+53.0)#2332.0(+59.0)#1,815
24.2103289.038.0(+51.0)#2432.0(+57.0)#1,868
25.2122087.038.0(+49.0)#2532.0(+55.0)#1,929
26.2165987.038.0(+49.0)#2632.0(+55.0)#1,953
27.2100186.038.0(+48.0)#2732.0(+54.0)#1,971
28.2078184.038.0(+46.0)#2832.0(+52.0)#2,050
29.2071082.038.0(+44.0)#2932.0(+50.0)#2,137
30.2162582.038.0(+44.0)#3032.0(+50.0)#2,157
31.2156281.038.0(+43.0)#3132.0(+49.0)#2,198
32.2063980.038.0(+42.0)#3232.0(+48.0)#2,223
33.2187580.038.0(+42.0)#3332.0(+48.0)#2,228
34.2108480.038.0(+42.0)#3432.0(+48.0)#2,229
35.2140179.038.0(+41.0)#3532.0(+47.0)#2,263
36.2162979.038.0(+41.0)#3632.0(+47.0)#2,278
37.2111179.038.0(+41.0)#3732.0(+47.0)#2,286
38.2111377.038.0(+39.0)#3832.0(+45.0)#2,356
39.2175077.038.0(+39.0)#3932.0(+45.0)#2,387
40.2101376.038.0(+38.0)#4032.0(+44.0)#2,442
41.2120775.038.0(+37.0)#4132.0(+43.0)#2,458
42.2184975.038.0(+37.0)#4232.0(+43.0)#2,497
43.2091074.038.0(+36.0)#4332.0(+42.0)#2,523
44.2069574.038.0(+36.0)#4432.0(+42.0)#2,542
45.2072070.038.0(+32.0)#4532.0(+38.0)#2,796
46.2115270.038.0(+32.0)#4632.0(+38.0)#2,822
47.2090369.038.0(+31.0)#4732.0(+37.0)#2,873
48.2123668.038.0(+30.0)#4832.0(+36.0)#2,928
49.2101468.038.0(+30.0)#4932.0(+36.0)#2,930
50.2090467.038.0(+29.0)#5032.0(+35.0)#2,993
51.2114467.038.0(+29.0)#5132.0(+35.0)#3,000
52.2078467.038.0(+29.0)#5232.0(+35.0)#3,004
53.2121167.038.0(+29.0)#5332.0(+35.0)#3,031
54.2185166.038.0(+28.0)#5432.0(+34.0)#3,131
55.2062266.038.0(+28.0)#5532.0(+34.0)#3,137
56.2075166.038.0(+28.0)#5632.0(+34.0)#3,153
57.2105465.038.0(+27.0)#5732.0(+33.0)#3,202
58.2067765.038.0(+27.0)#5832.0(+33.0)#3,245
59.2116263.038.0(+25.0)#5932.0(+31.0)#3,411
60.2104062.038.0(+24.0)#6032.0(+30.0)#3,468
61.2179162.038.0(+24.0)#6132.0(+30.0)#3,514
62.2070760.038.0(+22.0)#6232.0(+28.0)#3,648
63.2070560.038.0(+22.0)#6332.0(+28.0)#3,659
64.2105759.038.0(+21.0)#6432.0(+27.0)#3,802
65.2081458.038.0(+20.0)#6532.0(+26.0)#3,859
66.2177358.038.0(+20.0)#6632.0(+26.0)#3,915
67.2152158.038.0(+20.0)#6732.0(+26.0)#3,943
68.2064657.038.0(+19.0)#6832.0(+25.0)#3,990
69.2061356.038.0(+18.0)#6932.0(+24.0)#4,118
70.2123156.038.0(+18.0)#7032.0(+24.0)#4,119
71.2070655.038.0(+17.0)#7132.0(+23.0)#4,200
72.2120155.038.0(+17.0)#7232.0(+23.0)#4,243
73.2090654.038.0(+16.0)#7332.0(+22.0)#4,313
74.2074054.038.0(+16.0)#7432.0(+22.0)#4,333
75.2060253.038.0(+15.0)#7532.0(+21.0)#4,460
76.2074452.038.0(+14.0)#7632.0(+20.0)#4,570
77.2122852.038.0(+14.0)#7732.0(+20.0)#4,572
78.2090152.038.0(+14.0)#7832.0(+20.0)#4,584
79.2174252.038.0(+14.0)#7932.0(+20.0)#4,588
80.2115452.038.0(+14.0)#8032.0(+20.0)#4,647
81.2074751.038.0(+13.0)#8132.0(+19.0)#4,708
82.2088651.038.0(+13.0)#8232.0(+19.0)#4,719
83.2078350.038.0(+12.0)#8332.0(+18.0)#4,833
84.2113350.038.0(+12.0)#8432.0(+18.0)#4,854
85.2177150.038.0(+12.0)#8532.0(+18.0)#4,855
86.2123950.038.0(+12.0)#8632.0(+18.0)#4,864
87.2178750.038.0(+12.0)#8732.0(+18.0)#4,923
88.2087149.038.0(+11.0)#8832.0(+17.0)#5,048
89.2078548.038.0(+10.00)#8932.0(+16.0)#5,179
90.2175448.038.0(+10.00)#9032.0(+16.0)#5,258
91.2062348.038.0(+10.00)#9132.0(+16.0)#5,289
92.2122447.038.0(+9.00)#9232.0(+15.0)#5,332
93.2107547.038.0(+9.00)#9332.0(+15.0)#5,345
94.2122547.038.0(+9.00)#9432.0(+15.0)#5,347
95.2104647.038.0(+9.00)#9532.0(+15.0)#5,395
96.2113147.038.0(+9.00)#9632.0(+15.0)#5,425
97.2120446.038.0(+8.00)#9732.0(+14.0)#5,560
98.2085546.038.0(+8.00)#9832.0(+14.0)#5,569
99.2107446.038.0(+8.00)#9932.0(+14.0)#5,575
100.2163846.038.0(+8.00)#10032.0(+14.0)#5,606

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Maryland?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Maryland are:
#1
1,000.0
#2
1,000.0
#3
294.0
#4
273.0
#5
270.0
#6
215.0
#7
195.0
#8
177.0
#9
175.0
#10
165.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in Maryland?
20687 has the Most Births per 1,000 Women Over the Age of 35 in Maryland with 1,000.0.
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.