Zip Codes with the Youngest Female Population in Maryland [ 101 - 200 ]

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Youngest Population | Female
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

Zip Codes with the Youngest Female Population in Maryland

Zip Code Median Age vs State vs National
101.2100937.940.4(-2.50)#10139.7(-1.80)#8,367
102.2100137.940.4(-2.50)#10239.7(-1.80)#8,376
103.2190137.940.4(-2.50)#10339.7(-1.80)#8,391
104.2061938.040.4(-2.40)#10439.7(-1.70)#8,549
105.2171638.040.4(-2.40)#10539.7(-1.70)#8,566
106.2072338.140.4(-2.30)#10639.7(-1.60)#8,632
107.2103038.140.4(-2.30)#10739.7(-1.60)#8,641
108.2104038.140.4(-2.30)#10839.7(-1.60)#8,642
109.2071238.140.4(-2.30)#10939.7(-1.60)#8,669
110.2101238.340.4(-2.10)#11039.7(-1.40)#8,868
111.2115538.340.4(-2.10)#11139.7(-1.40)#8,931
112.2087438.440.4(-2.00)#11239.7(-1.30)#8,982
113.2106038.440.4(-2.00)#11339.7(-1.30)#8,998
114.2173738.440.4(-2.00)#11439.7(-1.30)#9,082
115.2170438.540.4(-1.90)#11539.7(-1.20)#9,193
116.2086638.540.4(-1.90)#11639.7(-1.20)#9,200
117.2064038.540.4(-1.90)#11739.7(-1.20)#9,216
118.2101738.540.4(-1.90)#11839.7(-1.20)#9,232
119.2078238.640.4(-1.80)#11939.7(-1.10)#9,333
120.2091238.640.4(-1.80)#12039.7(-1.10)#9,350
121.2164338.640.4(-1.80)#12139.7(-1.10)#9,396
122.2122038.740.4(-1.70)#12239.7(-1.000)#9,467
123.2087738.940.4(-1.50)#12339.7(-0.800)#9,771
124.2177438.940.4(-1.50)#12439.7(-0.800)#9,819
125.2063638.940.4(-1.50)#12539.7(-0.800)#9,830
126.2112239.040.4(-1.40)#12639.7(-0.700)#9,918
127.2111739.040.4(-1.40)#12739.7(-0.700)#9,920
128.2104339.040.4(-1.40)#12839.7(-0.700)#9,926
129.2070739.040.4(-1.40)#12939.7(-0.700)#9,937
130.2122739.040.4(-1.40)#13039.7(-0.700)#9,940
131.2087139.140.4(-1.30)#13139.7(-0.600)#10,096
132.2123639.240.4(-1.20)#13239.7(-0.500)#10,213
133.2077039.240.4(-1.20)#13339.7(-0.500)#10,224
134.2186939.240.4(-1.20)#13439.7(-0.500)#10,310
135.2121739.440.4(-1.000)#13539.7(-0.300)#10,514
136.2122339.440.4(-1.000)#13639.7(-0.300)#10,540
137.2075439.440.4(-1.000)#13739.7(-0.300)#10,574
138.2061639.440.4(-1.000)#13839.7(-0.300)#10,578
139.2192139.540.4(-0.900)#13939.7(-0.200)#10,662
140.2065939.540.4(-0.900)#14039.7(-0.200)#10,688
141.2187439.540.4(-0.900)#14139.7(-0.200)#10,752
142.2174039.640.4(-0.800)#14239.7(-0.100)#10,811
143.2120739.640.4(-0.800)#14339.7(-0.100)#10,813
144.2085239.640.4(-0.800)#14439.7(-0.100)#10,815
145.2180139.640.4(-0.800)#14539.7(-0.100)#10,830
146.2183039.640.4(-0.800)#14639.7(-0.100)#10,882
147.2104539.740.4(-0.700)#14739.7(=0.000)#10,965
148.2063939.740.4(-0.700)#14839.7(=0.000)#11,006
149.2067839.740.4(-0.700)#14939.7(=0.000)#11,013
150.2066439.740.4(-0.700)#15039.7(=0.000)#11,054
151.2074339.840.4(-0.600)#15139.7(+0.100)#11,123
152.2177739.840.4(-0.600)#15239.7(+0.100)#11,211
153.2123939.940.4(-0.500)#15339.7(+0.200)#11,290
154.2171939.940.4(-0.500)#15439.7(+0.200)#11,381
155.2114440.040.4(-0.400)#15539.7(+0.300)#11,432
156.2184940.040.4(-0.400)#15639.7(+0.300)#11,508
157.2122940.140.4(-0.300)#15739.7(+0.400)#11,570
158.2074740.140.4(-0.300)#15839.7(+0.400)#11,575
159.2090140.140.4(-0.300)#15939.7(+0.400)#11,580
160.2121340.140.4(-0.300)#16039.7(+0.400)#11,589
161.2156240.140.4(-0.300)#16139.7(+0.400)#11,648
162.2088640.240.4(-0.200)#16239.7(+0.500)#11,719
163.2070640.340.4(-0.100)#16339.7(+0.600)#11,861
164.2060340.340.4(-0.100)#16439.7(+0.600)#11,870
165.2178740.340.4(-0.100)#16539.7(+0.600)#11,919
166.2178440.440.4(=0.000)#16639.7(+0.700)#12,027
167.2179840.440.4(=0.000)#16739.7(+0.700)#12,122
168.2074540.540.4(+0.100)#16839.7(+0.800)#12,191
169.2160740.540.4(+0.100)#16939.7(+0.800)#12,312
170.2071140.640.4(+0.200)#17039.7(+0.900)#12,423
171.2113240.640.4(+0.200)#17139.7(+0.900)#12,449
172.2067440.640.4(+0.200)#17239.7(+0.900)#12,488
173.2170140.840.4(+0.400)#17339.7(+1.10)#12,663
174.2177040.840.4(+0.400)#17439.7(+1.10)#12,734
175.2175840.840.4(+0.400)#17539.7(+1.10)#12,749
176.2107740.940.4(+0.500)#17639.7(+1.20)#12,999
177.2179741.040.4(+0.600)#17739.7(+1.30)#13,075
178.2187541.040.4(+0.600)#17839.7(+1.30)#13,082
179.2172341.040.4(+0.600)#17939.7(+1.30)#13,139
180.2121241.140.4(+0.700)#18039.7(+1.40)#13,178
181.2087841.240.4(+0.800)#18139.7(+1.50)#13,309
182.2183741.240.4(+0.800)#18239.7(+1.50)#13,397
183.2109041.340.4(+0.900)#18339.7(+1.60)#13,514
184.2081441.440.4(+1.000)#18439.7(+1.70)#13,633
185.2161741.440.4(+1.000)#18539.7(+1.70)#13,670
186.2154141.440.4(+1.000)#18639.7(+1.70)#13,729
187.2165041.440.4(+1.000)#18739.7(+1.70)#13,756
188.2121441.540.4(+1.10)#18839.7(+1.80)#13,805
189.2176941.640.4(+1.20)#18939.7(+1.90)#14,025
190.2175441.640.4(+1.20)#19039.7(+1.90)#14,042
191.2123441.740.4(+1.30)#19139.7(+2.00)#14,128
192.2101541.840.4(+1.40)#19239.7(+2.10)#14,295
193.2090541.840.4(+1.40)#19339.7(+2.10)#14,332
194.2107441.840.4(+1.40)#19439.7(+2.10)#14,339
195.2175541.840.4(+1.40)#19539.7(+2.10)#14,366
196.2166041.840.4(+1.40)#19639.7(+2.10)#14,381
197.2152041.840.4(+1.40)#19739.7(+2.10)#14,396
198.2123741.940.4(+1.50)#19839.7(+2.20)#14,461
199.2073641.940.4(+1.50)#19939.7(+2.20)#14,501
200.2105341.940.4(+1.50)#20039.7(+2.20)#14,529