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

RELATED REPORTS & OPTIONS

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
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maryland

40.0
0.0
Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maryland Map

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

Zip Code Births / 1,000 Women vs State vs National
1.216204.050.0(-46.0)#148.0(-44.0)#100
2.207694.050.0(-46.0)#248.0(-44.0)#115
3.216515.050.0(-45.0)#348.0(-43.0)#219
4.216235.050.0(-45.0)#448.0(-43.0)#220
5.216438.050.0(-42.0)#548.0(-40.0)#473
6.211409.050.0(-41.0)#648.0(-39.0)#610
7.2090510.050.0(-40.0)#748.0(-38.0)#691
8.2140211.050.0(-39.0)#848.0(-37.0)#944
9.2164911.050.0(-39.0)#948.0(-37.0)#951
10.2165911.050.0(-39.0)#1048.0(-37.0)#972
11.2186111.050.0(-39.0)#1148.0(-37.0)#985
12.2107813.050.0(-37.0)#1248.0(-35.0)#1,183
13.2116313.050.0(-37.0)#1348.0(-35.0)#1,236
14.2061613.050.0(-37.0)#1448.0(-35.0)#1,239
15.2153613.050.0(-37.0)#1548.0(-35.0)#1,271
16.2060714.050.0(-36.0)#1648.0(-34.0)#1,390
17.2083314.050.0(-36.0)#1748.0(-34.0)#1,415
18.2165814.050.0(-36.0)#1848.0(-34.0)#1,450
19.2173814.050.0(-36.0)#1948.0(-34.0)#1,451
20.2075415.050.0(-35.0)#2048.0(-33.0)#1,616
21.2068515.050.0(-35.0)#2148.0(-33.0)#1,621
22.2180116.050.0(-34.0)#2248.0(-32.0)#1,741
23.2167317.050.0(-33.0)#2348.0(-31.0)#2,046
24.2191317.050.0(-33.0)#2448.0(-31.0)#2,100
25.2109018.050.0(-32.0)#2548.0(-30.0)#2,189
26.2167818.050.0(-32.0)#2648.0(-30.0)#2,280
27.2074519.050.0(-31.0)#2748.0(-29.0)#2,342
28.2110820.050.0(-30.0)#2848.0(-28.0)#2,605
29.2102920.050.0(-30.0)#2948.0(-28.0)#2,627
30.2121920.050.0(-30.0)#3048.0(-28.0)#2,649
31.2121721.050.0(-29.0)#3148.0(-27.0)#2,828
32.2074621.050.0(-29.0)#3248.0(-27.0)#2,832
33.2120421.050.0(-29.0)#3348.0(-27.0)#2,864
34.2122621.050.0(-29.0)#3448.0(-27.0)#2,943
35.2116121.050.0(-29.0)#3548.0(-27.0)#2,949
36.2105321.050.0(-29.0)#3648.0(-27.0)#2,984
37.2154121.050.0(-29.0)#3748.0(-27.0)#3,014
38.2081622.050.0(-28.0)#3848.0(-26.0)#3,133
39.2121022.050.0(-28.0)#3948.0(-26.0)#3,140
40.2179522.050.0(-28.0)#4048.0(-26.0)#3,163
41.2177622.050.0(-28.0)#4148.0(-26.0)#3,193
42.2100522.050.0(-28.0)#4248.0(-26.0)#3,237
43.2073322.050.0(-28.0)#4348.0(-26.0)#3,238
44.2104223.050.0(-27.0)#4448.0(-25.0)#3,328
45.2172723.050.0(-27.0)#4548.0(-25.0)#3,446
46.2074824.050.0(-26.0)#4648.0(-24.0)#3,590
47.2101524.050.0(-26.0)#4748.0(-24.0)#3,616
48.2084124.050.0(-26.0)#4848.0(-24.0)#3,709
49.2077724.050.0(-26.0)#4948.0(-24.0)#3,773
50.2084224.050.0(-26.0)#5048.0(-24.0)#3,802
51.2104425.050.0(-25.0)#5148.0(-23.0)#3,874
52.2085526.050.0(-24.0)#5248.0(-22.0)#4,230
53.2180427.050.0(-23.0)#5348.0(-21.0)#4,474
54.2162927.050.0(-23.0)#5448.0(-21.0)#4,587
55.2172227.050.0(-23.0)#5548.0(-21.0)#4,610
56.2190427.050.0(-23.0)#5648.0(-21.0)#4,614
57.2074028.050.0(-22.0)#5748.0(-20.0)#4,763
58.2063428.050.0(-22.0)#5848.0(-20.0)#4,890
59.2071428.050.0(-22.0)#5948.0(-20.0)#4,923
60.2083828.050.0(-22.0)#6048.0(-20.0)#5,021
61.2070529.050.0(-21.0)#6148.0(-19.0)#5,073
62.2065729.050.0(-21.0)#6248.0(-19.0)#5,102
63.2155029.050.0(-21.0)#6348.0(-19.0)#5,130
64.2081229.050.0(-21.0)#6448.0(-19.0)#5,313
65.2077030.050.0(-20.0)#6548.0(-18.0)#5,381
66.2121430.050.0(-20.0)#6648.0(-18.0)#5,419
67.2166030.050.0(-20.0)#6748.0(-18.0)#5,527
68.2163530.050.0(-20.0)#6848.0(-18.0)#5,564
69.2073531.050.0(-19.0)#6948.0(-17.0)#5,629
70.2140331.050.0(-19.0)#7048.0(-17.0)#5,656
71.2178331.050.0(-19.0)#7148.0(-17.0)#5,756
72.2113231.050.0(-19.0)#7248.0(-17.0)#5,834
73.2109332.050.0(-18.0)#7348.0(-16.0)#5,937
74.2128632.050.0(-18.0)#7448.0(-16.0)#6,004
75.2177032.050.0(-18.0)#7548.0(-16.0)#6,072
76.2163832.050.0(-18.0)#7648.0(-16.0)#6,105
77.2102832.050.0(-18.0)#7748.0(-16.0)#6,139
78.2166832.050.0(-18.0)#7848.0(-16.0)#6,171
79.2122333.050.0(-17.0)#7948.0(-15.0)#6,350
80.2112833.050.0(-17.0)#8048.0(-15.0)#6,376
81.2085133.050.0(-17.0)#8148.0(-15.0)#6,383
82.2161733.050.0(-17.0)#8248.0(-15.0)#6,402
83.2187533.050.0(-17.0)#8348.0(-15.0)#6,421
84.2101733.050.0(-17.0)#8448.0(-15.0)#6,432
85.2165533.050.0(-17.0)#8548.0(-15.0)#6,448
86.2122134.050.0(-16.0)#8648.0(-14.0)#6,592
87.2081534.050.0(-16.0)#8748.0(-14.0)#6,629
88.2140934.050.0(-16.0)#8848.0(-14.0)#6,680
89.2115735.050.0(-15.0)#8948.0(-13.0)#6,908
90.2120835.050.0(-15.0)#9048.0(-13.0)#6,915
91.2072335.050.0(-15.0)#9148.0(-13.0)#6,922
92.2081435.050.0(-15.0)#9248.0(-13.0)#6,933
93.2123135.050.0(-15.0)#9348.0(-13.0)#7,004
94.2175535.050.0(-15.0)#9448.0(-13.0)#7,058
95.2120636.050.0(-14.0)#9548.0(-12.0)#7,181
96.2103736.050.0(-14.0)#9648.0(-12.0)#7,268
97.2120236.050.0(-14.0)#9748.0(-12.0)#7,272
98.2113136.050.0(-14.0)#9848.0(-12.0)#7,345
99.2078237.050.0(-13.0)#9948.0(-11.0)#7,533
100.2087637.050.0(-13.0)#10048.0(-11.0)#7,570

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maryland?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maryland are:
#1
4.0
#2
4.0
#3
5.0
#4
5.0
#5
8.0
#6
9.0
#7
10.0
#8
11.0
#9
11.0
#10
11.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Maryland?
21620 has the Lowest Births per 1,000 Women in Labor Force in Maryland with 4.0.
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.