Zip Codes with the Most Births per 1,000 Women in Labor Force in Minnesota [ 501 - 600 ]

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Highest 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 Most Births per 1,000 Women in Labor Force in Minnesota

Zip Code Births / 1,000 Women vs State vs National
501.5507943.054.0(-11.0)#50148.0(-5.00)#13,632
502.5597243.054.0(-11.0)#50248.0(-5.00)#13,661
503.5647343.054.0(-11.0)#50348.0(-5.00)#13,683
504.5637343.054.0(-11.0)#50448.0(-5.00)#13,684
505.5597443.054.0(-11.0)#50548.0(-5.00)#13,711
506.5506543.054.0(-11.0)#50648.0(-5.00)#13,729
507.5618343.054.0(-11.0)#50748.0(-5.00)#13,730
508.5532443.054.0(-11.0)#50848.0(-5.00)#13,734
509.5542842.054.0(-12.0)#50948.0(-6.00)#13,853
510.5630342.054.0(-12.0)#51048.0(-6.00)#13,882
511.5501342.054.0(-12.0)#51148.0(-6.00)#13,989
512.5504342.054.0(-12.0)#51248.0(-6.00)#14,025
513.5570742.054.0(-12.0)#51348.0(-6.00)#14,030
514.5571842.054.0(-12.0)#51448.0(-6.00)#14,038
515.5622042.054.0(-12.0)#51548.0(-6.00)#14,051
516.5651042.054.0(-12.0)#51648.0(-6.00)#14,060
517.5646542.054.0(-12.0)#51748.0(-6.00)#14,063
518.5613842.054.0(-12.0)#51848.0(-6.00)#14,100
519.5512541.054.0(-13.0)#51948.0(-7.00)#14,150
520.5510441.054.0(-13.0)#52048.0(-7.00)#14,154
521.5540741.054.0(-13.0)#52148.0(-7.00)#14,176
522.5533141.054.0(-13.0)#52248.0(-7.00)#14,266
523.5534641.054.0(-13.0)#52348.0(-7.00)#14,271
524.5544441.054.0(-13.0)#52448.0(-7.00)#14,273
525.5500841.054.0(-13.0)#52548.0(-7.00)#14,286
526.5540141.054.0(-13.0)#52648.0(-7.00)#14,307
527.5657341.054.0(-13.0)#52748.0(-7.00)#14,351
528.5630741.054.0(-13.0)#52848.0(-7.00)#14,363
529.5635941.054.0(-13.0)#52948.0(-7.00)#14,383
530.5645241.054.0(-13.0)#53048.0(-7.00)#14,410
531.5647541.054.0(-13.0)#53148.0(-7.00)#14,414
532.5625341.054.0(-13.0)#53248.0(-7.00)#14,437
533.5622441.054.0(-13.0)#53348.0(-7.00)#14,448
534.5511240.054.0(-14.0)#53448.0(-8.00)#14,477
535.5537840.054.0(-14.0)#53548.0(-8.00)#14,528
536.5544840.054.0(-14.0)#53648.0(-8.00)#14,536
537.5574440.054.0(-14.0)#53748.0(-8.00)#14,590
538.5505140.054.0(-14.0)#53848.0(-8.00)#14,655
539.5592040.054.0(-14.0)#53948.0(-8.00)#14,664
540.5592340.054.0(-14.0)#54048.0(-8.00)#14,701
541.5591740.054.0(-14.0)#54148.0(-8.00)#14,705
542.5539640.054.0(-14.0)#54248.0(-8.00)#14,744
543.5656940.054.0(-14.0)#54348.0(-8.00)#14,762
544.5635740.054.0(-14.0)#54448.0(-8.00)#14,766
545.5621640.054.0(-14.0)#54548.0(-8.00)#14,784
546.5638640.054.0(-14.0)#54648.0(-8.00)#14,787
547.5621140.054.0(-14.0)#54748.0(-8.00)#14,790
548.5541339.054.0(-15.0)#54848.0(-9.00)#14,977
549.5573339.054.0(-15.0)#54948.0(-9.00)#15,029
550.5646439.054.0(-15.0)#55048.0(-9.00)#15,032
551.5643839.054.0(-15.0)#55148.0(-9.00)#15,051
552.5622239.054.0(-15.0)#55248.0(-9.00)#15,066
553.5622839.054.0(-15.0)#55348.0(-9.00)#15,099
554.5504038.054.0(-16.0)#55448.0(-10.00)#15,256
555.5512038.054.0(-16.0)#55548.0(-10.00)#15,331
556.5535438.054.0(-16.0)#55648.0(-10.00)#15,362
557.5608738.054.0(-16.0)#55748.0(-10.00)#15,365
558.5623238.054.0(-16.0)#55848.0(-10.00)#15,385
559.5626438.054.0(-16.0)#55948.0(-10.00)#15,387
560.5508438.054.0(-16.0)#56048.0(-10.00)#15,394
561.5631638.054.0(-16.0)#56148.0(-10.00)#15,406
562.5592638.054.0(-16.0)#56248.0(-10.00)#15,430
563.5573838.054.0(-16.0)#56348.0(-10.00)#15,436
564.5665238.054.0(-16.0)#56448.0(-10.00)#15,442
565.5664638.054.0(-16.0)#56548.0(-10.00)#15,446
566.5622738.054.0(-16.0)#56648.0(-10.00)#15,449
567.5590637.054.0(-17.0)#56748.0(-11.0)#15,587
568.5637937.054.0(-17.0)#56848.0(-11.0)#15,604
569.5538637.054.0(-17.0)#56948.0(-11.0)#15,667
570.5580837.054.0(-17.0)#57048.0(-11.0)#15,701
571.5602637.054.0(-17.0)#57148.0(-11.0)#15,752
572.5570837.054.0(-17.0)#57248.0(-11.0)#15,781
573.5537236.054.0(-18.0)#57348.0(-12.0)#15,849
574.5540436.054.0(-18.0)#57448.0(-12.0)#15,869
575.5532736.054.0(-18.0)#57548.0(-12.0)#15,998
576.5647936.054.0(-18.0)#57648.0(-12.0)#16,000
577.5646636.054.0(-18.0)#57748.0(-12.0)#16,017
578.5672836.054.0(-18.0)#57848.0(-12.0)#16,067
579.5628136.054.0(-18.0)#57948.0(-12.0)#16,082
580.5570236.054.0(-18.0)#58048.0(-12.0)#16,088
581.5542335.054.0(-19.0)#58148.0(-13.0)#16,140
582.5510235.054.0(-19.0)#58248.0(-13.0)#16,204
583.5530635.054.0(-19.0)#58348.0(-13.0)#16,218
584.5544235.054.0(-19.0)#58448.0(-13.0)#16,232
585.5507235.054.0(-19.0)#58548.0(-13.0)#16,301
586.5594935.054.0(-19.0)#58648.0(-13.0)#16,349
587.5633635.054.0(-19.0)#58748.0(-13.0)#16,360
588.5570435.054.0(-19.0)#58848.0(-13.0)#16,372
589.5623035.054.0(-19.0)#58948.0(-13.0)#16,378
590.5617035.054.0(-19.0)#59048.0(-13.0)#16,380
591.5673335.054.0(-19.0)#59148.0(-13.0)#16,383
592.5534334.054.0(-20.0)#59248.0(-14.0)#16,470
593.5603134.054.0(-20.0)#59348.0(-14.0)#16,552
594.5539034.054.0(-20.0)#59448.0(-14.0)#16,614
595.5500734.054.0(-20.0)#59548.0(-14.0)#16,624
596.5501934.054.0(-20.0)#59648.0(-14.0)#16,627
597.5628434.054.0(-20.0)#59748.0(-14.0)#16,628
598.5638234.054.0(-20.0)#59848.0(-14.0)#16,654
599.5653534.054.0(-20.0)#59948.0(-14.0)#16,656
600.5674834.054.0(-20.0)#60048.0(-14.0)#16,683