Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minnesota [ 401 - 500 ]

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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
Minnesota
Compare Zip Codes
Comparison Subject

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

Zip Code Births / 1,000 Women vs State vs National
401.5601358.054.0(+4.00)#40148.0(+10.00)#14,047
402.5617558.054.0(+4.00)#40248.0(+10.00)#14,067
403.5613158.054.0(+4.00)#40348.0(+10.00)#14,074
404.5608858.054.0(+4.00)#40448.0(+10.00)#14,078
405.5663458.054.0(+4.00)#40548.0(+10.00)#14,084
406.5630958.054.0(+4.00)#40648.0(+10.00)#14,092
407.5618658.054.0(+4.00)#40748.0(+10.00)#14,115
408.5542159.054.0(+5.00)#40848.0(+11.0)#14,174
409.5630859.054.0(+5.00)#40948.0(+11.0)#14,189
410.5544159.054.0(+5.00)#41048.0(+11.0)#14,219
411.5580459.054.0(+5.00)#41148.0(+11.0)#14,228
412.5512159.054.0(+5.00)#41248.0(+11.0)#14,261
413.5500959.054.0(+5.00)#41348.0(+11.0)#14,268
414.5597159.054.0(+5.00)#41448.0(+11.0)#14,313
415.5578359.054.0(+5.00)#41548.0(+11.0)#14,322
416.5617159.054.0(+5.00)#41648.0(+11.0)#14,332
417.5635459.054.0(+5.00)#41748.0(+11.0)#14,339
418.5625759.054.0(+5.00)#41848.0(+11.0)#14,355
419.5614159.054.0(+5.00)#41948.0(+11.0)#14,359
420.5540660.054.0(+6.00)#42048.0(+12.0)#14,397
421.5647060.054.0(+6.00)#42148.0(+12.0)#14,478
422.5536360.054.0(+6.00)#42248.0(+12.0)#14,503
423.5560460.054.0(+6.00)#42348.0(+12.0)#14,513
424.5609660.054.0(+6.00)#42448.0(+12.0)#14,524
425.5591860.054.0(+6.00)#42548.0(+12.0)#14,551
426.5544961.054.0(+7.00)#42648.0(+13.0)#14,602
427.5607161.054.0(+7.00)#42748.0(+13.0)#14,663
428.5609361.054.0(+7.00)#42848.0(+13.0)#14,666
429.5535961.054.0(+7.00)#42948.0(+13.0)#14,687
430.5505561.054.0(+7.00)#43048.0(+13.0)#14,711
431.5651461.054.0(+7.00)#43148.0(+13.0)#14,712
432.5646161.054.0(+7.00)#43248.0(+13.0)#14,719
433.5574161.054.0(+7.00)#43348.0(+13.0)#14,722
434.5673561.054.0(+7.00)#43448.0(+13.0)#14,761
435.5512462.054.0(+8.00)#43548.0(+14.0)#14,782
436.5581162.054.0(+8.00)#43648.0(+14.0)#14,842
437.5600762.054.0(+8.00)#43748.0(+14.0)#14,864
438.5653762.054.0(+8.00)#43848.0(+14.0)#14,869
439.5533662.054.0(+8.00)#43948.0(+14.0)#14,916
440.5626562.054.0(+8.00)#44048.0(+14.0)#14,921
441.5654962.054.0(+8.00)#44148.0(+14.0)#14,941
442.5647462.054.0(+8.00)#44248.0(+14.0)#14,946
443.5572162.054.0(+8.00)#44348.0(+14.0)#14,955
444.5607262.054.0(+8.00)#44448.0(+14.0)#14,976
445.5592562.054.0(+8.00)#44548.0(+14.0)#14,986
446.5530363.054.0(+9.00)#44648.0(+15.0)#15,012
447.5635363.054.0(+9.00)#44748.0(+15.0)#15,126
448.5532063.054.0(+9.00)#44848.0(+15.0)#15,147
449.5576863.054.0(+9.00)#44948.0(+15.0)#15,171
450.5595663.054.0(+9.00)#45048.0(+15.0)#15,184
451.5644963.054.0(+9.00)#45148.0(+15.0)#15,186
452.5658063.054.0(+9.00)#45248.0(+15.0)#15,210
453.5671463.054.0(+9.00)#45348.0(+15.0)#15,213
454.5614263.054.0(+9.00)#45448.0(+15.0)#15,220
455.5590464.054.0(+10.00)#45548.0(+16.0)#15,296
456.5601164.054.0(+10.00)#45648.0(+16.0)#15,363
457.5634364.054.0(+10.00)#45748.0(+16.0)#15,432
458.5541865.054.0(+11.0)#45848.0(+17.0)#15,485
459.5541265.054.0(+11.0)#45948.0(+17.0)#15,498
460.5536465.054.0(+11.0)#46048.0(+17.0)#15,545
461.5511565.054.0(+11.0)#46148.0(+17.0)#15,567
462.5594465.054.0(+11.0)#46248.0(+17.0)#15,572
463.5632965.054.0(+11.0)#46348.0(+17.0)#15,573
464.5676365.054.0(+11.0)#46448.0(+17.0)#15,588
465.5628865.054.0(+11.0)#46548.0(+17.0)#15,596
466.5634265.054.0(+11.0)#46648.0(+17.0)#15,621
467.5620865.054.0(+11.0)#46748.0(+17.0)#15,631
468.5633865.054.0(+11.0)#46848.0(+17.0)#15,642
469.5653465.054.0(+11.0)#46948.0(+17.0)#15,645
470.5590166.054.0(+12.0)#47048.0(+18.0)#15,673
471.5541966.054.0(+12.0)#47148.0(+18.0)#15,699
472.5670166.054.0(+12.0)#47248.0(+18.0)#15,742
473.5597566.054.0(+12.0)#47348.0(+18.0)#15,785
474.5604866.054.0(+12.0)#47448.0(+18.0)#15,787
475.5596066.054.0(+12.0)#47548.0(+18.0)#15,796
476.5635866.054.0(+12.0)#47648.0(+18.0)#15,797
477.5597066.054.0(+12.0)#47748.0(+18.0)#15,830
478.5505366.054.0(+12.0)#47848.0(+18.0)#15,832
479.5634966.054.0(+12.0)#47948.0(+18.0)#15,836
480.5543467.054.0(+13.0)#48048.0(+19.0)#15,871
481.5630467.054.0(+13.0)#48148.0(+19.0)#15,915
482.5614367.054.0(+13.0)#48248.0(+19.0)#15,973
483.5609767.054.0(+13.0)#48348.0(+19.0)#15,981
484.5654767.054.0(+13.0)#48448.0(+19.0)#15,988
485.5602167.054.0(+13.0)#48548.0(+19.0)#16,019
486.5501668.054.0(+14.0)#48648.0(+20.0)#16,068
487.5512868.054.0(+14.0)#48748.0(+20.0)#16,092
488.5544768.054.0(+14.0)#48848.0(+20.0)#16,107
489.5580768.054.0(+14.0)#48948.0(+20.0)#16,147
490.5657168.054.0(+14.0)#49048.0(+20.0)#16,202
491.5637568.054.0(+14.0)#49148.0(+20.0)#16,224
492.5631168.054.0(+14.0)#49248.0(+20.0)#16,226
493.5531169.054.0(+15.0)#49348.0(+21.0)#16,263
494.5541769.054.0(+15.0)#49448.0(+21.0)#16,282
495.5541069.054.0(+15.0)#49548.0(+21.0)#16,297
496.5510369.054.0(+15.0)#49648.0(+21.0)#16,318
497.5504669.054.0(+15.0)#49748.0(+21.0)#16,352
498.5500569.054.0(+15.0)#49848.0(+21.0)#16,362
499.5538969.054.0(+15.0)#49948.0(+21.0)#16,381
500.5648169.054.0(+15.0)#50048.0(+21.0)#16,388