Zip Codes with the Youngest Female Population in Minnesota [ 201 - 300 ]

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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
Minnesota
Compare Zip Codes
Comparison Subject

Zip Codes with the Youngest Female Population in Minnesota

Zip Code Median Age vs State vs National
201.5592537.939.2(-1.30)#20139.7(-1.80)#8,453
202.5504438.039.2(-1.20)#20239.7(-1.70)#8,485
203.5533738.039.2(-1.20)#20339.7(-1.70)#8,496
204.5600338.039.2(-1.20)#20439.7(-1.70)#8,547
205.5539038.039.2(-1.20)#20539.7(-1.70)#8,576
206.5624338.039.2(-1.20)#20639.7(-1.70)#8,586
207.5613838.039.2(-1.20)#20739.7(-1.70)#8,600
208.5502538.139.2(-1.10)#20839.7(-1.60)#8,639
209.5532838.239.2(-1.000)#20939.7(-1.50)#8,779
210.5542638.339.2(-0.900)#21039.7(-1.40)#8,864
211.5572038.339.2(-0.900)#21139.7(-1.40)#8,877
212.5537438.339.2(-0.900)#21239.7(-1.40)#8,882
213.5573438.339.2(-0.900)#21339.7(-1.40)#8,906
214.5627138.339.2(-0.900)#21439.7(-1.40)#8,950
215.5613738.439.2(-0.800)#21539.7(-1.30)#9,107
216.5611738.439.2(-0.800)#21639.7(-1.30)#9,116
217.5543438.539.2(-0.700)#21739.7(-1.20)#9,161
218.5537838.539.2(-0.700)#21839.7(-1.20)#9,164
219.5542138.539.2(-0.700)#21939.7(-1.20)#9,166
220.5534338.539.2(-0.700)#22039.7(-1.20)#9,174
221.5648238.539.2(-0.700)#22139.7(-1.20)#9,229
222.5507138.539.2(-0.700)#22239.7(-1.20)#9,235
223.5506538.539.2(-0.700)#22339.7(-1.20)#9,271
224.5652238.539.2(-0.700)#22439.7(-1.20)#9,292
225.5633538.539.2(-0.700)#22539.7(-1.20)#9,301
226.5542338.639.2(-0.600)#22639.7(-1.10)#9,330
227.5542838.639.2(-0.600)#22739.7(-1.10)#9,340
228.5530638.639.2(-0.600)#22839.7(-1.10)#9,367
229.5538738.639.2(-0.600)#22939.7(-1.10)#9,371
230.5637638.639.2(-0.600)#23039.7(-1.10)#9,449
231.5541838.739.2(-0.500)#23139.7(-1.000)#9,484
232.5541938.739.2(-0.500)#23239.7(-1.000)#9,487
233.5503838.739.2(-0.500)#23339.7(-1.000)#9,497
234.5635338.739.2(-0.500)#23439.7(-1.000)#9,525
235.5627938.739.2(-0.500)#23539.7(-1.000)#9,572
236.5512538.839.2(-0.400)#23639.7(-0.900)#9,613
237.5581138.839.2(-0.400)#23739.7(-0.900)#9,633
238.5531938.839.2(-0.400)#23839.7(-0.900)#9,679
239.5658938.839.2(-0.400)#23939.7(-0.900)#9,702
240.5611538.839.2(-0.400)#24039.7(-0.900)#9,713
241.5602538.839.2(-0.400)#24139.7(-0.900)#9,730
242.5652338.839.2(-0.400)#24239.7(-0.900)#9,732
243.5506838.939.2(-0.300)#24339.7(-0.800)#9,782
244.5531538.939.2(-0.300)#24439.7(-0.800)#9,840
245.5656738.939.2(-0.300)#24539.7(-0.800)#9,864
246.5533838.939.2(-0.300)#24639.7(-0.800)#9,896
247.5674238.939.2(-0.300)#24739.7(-0.800)#9,901
248.5535339.039.2(-0.200)#24839.7(-0.700)#10,015
249.5663439.039.2(-0.200)#24939.7(-0.700)#10,030
250.5591239.139.2(-0.100)#25039.7(-0.600)#10,092
251.5572139.139.2(-0.100)#25139.7(-0.600)#10,144
252.5505439.139.2(-0.100)#25239.7(-0.600)#10,154
253.5643739.139.2(-0.100)#25339.7(-0.600)#10,171
254.5665139.139.2(-0.100)#25439.7(-0.600)#10,184
255.5512439.239.2(=0.000)#25539.7(-0.500)#10,199
256.5512939.239.2(=0.000)#25639.7(-0.500)#10,223
257.5620139.239.2(=0.000)#25739.7(-0.500)#10,231
258.5507939.239.2(=0.000)#25839.7(-0.500)#10,260
259.5596339.239.2(=0.000)#25939.7(-0.500)#10,272
260.5604439.239.2(=0.000)#26039.7(-0.500)#10,295
261.5604539.239.2(=0.000)#26139.7(-0.500)#10,309
262.5634739.339.2(+0.100)#26239.7(-0.400)#10,405
263.5637339.339.2(+0.100)#26339.7(-0.400)#10,436
264.5654039.339.2(+0.100)#26439.7(-0.400)#10,454
265.5593639.339.2(+0.100)#26539.7(-0.400)#10,456
266.5544339.439.2(+0.200)#26639.7(-0.300)#10,512
267.5541739.439.2(+0.200)#26739.7(-0.300)#10,529
268.5535839.439.2(+0.200)#26839.7(-0.300)#10,583
269.5654939.439.2(+0.200)#26939.7(-0.300)#10,588
270.5674839.439.2(+0.200)#27039.7(-0.300)#10,636
271.5507739.539.2(+0.300)#27139.7(-0.200)#10,707
272.5609339.539.2(+0.300)#27239.7(-0.200)#10,710
273.5634039.539.2(+0.300)#27339.7(-0.200)#10,749
274.5652739.539.2(+0.300)#27439.7(-0.200)#10,771
275.5542739.639.2(+0.400)#27539.7(-0.100)#10,837
276.5592039.639.2(+0.400)#27639.7(-0.100)#10,870
277.5636739.639.2(+0.400)#27739.7(-0.100)#10,877
278.5659439.639.2(+0.400)#27839.7(-0.100)#10,930
279.5627439.639.2(+0.400)#27939.7(-0.100)#10,942
280.5608939.639.2(+0.400)#28039.7(-0.100)#10,943
281.5530839.739.2(+0.500)#28139.7(=0.000)#11,020
282.5638739.739.2(+0.500)#28239.7(=0.000)#11,024
283.5644639.739.2(+0.500)#28339.7(=0.000)#11,065
284.5673839.739.2(+0.500)#28439.7(=0.000)#11,068
285.5604139.739.2(+0.500)#28539.7(=0.000)#11,079
286.5614139.739.2(+0.500)#28639.7(=0.000)#11,099
287.5532039.839.2(+0.600)#28739.7(+0.100)#11,189
288.5611039.839.2(+0.600)#28839.7(+0.100)#11,224
289.5628239.839.2(+0.600)#28939.7(+0.100)#11,227
290.5531339.939.2(+0.700)#29039.7(+0.200)#11,297
291.5597239.939.2(+0.700)#29139.7(+0.200)#11,344
292.5532539.939.2(+0.700)#29239.7(+0.200)#11,347
293.5592739.939.2(+0.700)#29339.7(+0.200)#11,352
294.5626439.939.2(+0.700)#29439.7(+0.200)#11,368
295.5624039.939.2(+0.700)#29539.7(+0.200)#11,385
296.5626339.939.2(+0.700)#29639.7(+0.200)#11,396
297.5578039.939.2(+0.700)#29739.7(+0.200)#11,408
298.5540640.039.2(+0.800)#29839.7(+0.300)#11,434
299.5544640.039.2(+0.800)#29939.7(+0.300)#11,448
300.5615940.039.2(+0.800)#30039.7(+0.300)#11,516