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

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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
501. 56312 69.0 54.0 (+15.0)#501 48.0 (+21.0)#16,395
502. 56440 69.0 54.0 (+15.0)#502 48.0 (+21.0)#16,410
503. 56324 69.0 54.0 (+15.0)#503 48.0 (+21.0)#16,418
504. 56644 69.0 54.0 (+15.0)#504 48.0 (+21.0)#16,428
505. 55150 69.0 54.0 (+15.0)#505 48.0 (+21.0)#16,439
506. 55411 70.0 54.0 (+16.0)#506 48.0 (+22.0)#16,469
507. 55025 70.0 54.0 (+16.0)#507 48.0 (+22.0)#16,481
508. 55426 70.0 54.0 (+16.0)#508 48.0 (+22.0)#16,483
509. 55430 70.0 54.0 (+16.0)#509 48.0 (+22.0)#16,485
510. 55454 70.0 54.0 (+16.0)#510 48.0 (+22.0)#16,521
511. 56310 70.0 54.0 (+16.0)#511 48.0 (+22.0)#16,537
512. 56215 70.0 54.0 (+16.0)#512 48.0 (+22.0)#16,543
513. 56277 70.0 54.0 (+16.0)#513 48.0 (+22.0)#16,557
514. 55781 70.0 54.0 (+16.0)#514 48.0 (+22.0)#16,591
515. 56295 70.0 54.0 (+16.0)#515 48.0 (+22.0)#16,604
516. 56301 71.0 54.0 (+17.0)#516 48.0 (+23.0)#16,624
517. 55076 71.0 54.0 (+17.0)#517 48.0 (+23.0)#16,646
518. 56671 71.0 54.0 (+17.0)#518 48.0 (+23.0)#16,713
519. 56110 71.0 54.0 (+17.0)#519 48.0 (+23.0)#16,736
520. 55335 71.0 54.0 (+17.0)#520 48.0 (+23.0)#16,737
521. 56111 71.0 54.0 (+17.0)#521 48.0 (+23.0)#16,763
522. 55977 71.0 54.0 (+17.0)#522 48.0 (+23.0)#16,772
523. 55044 72.0 54.0 (+18.0)#523 48.0 (+24.0)#16,779
524. 55110 72.0 54.0 (+18.0)#524 48.0 (+24.0)#16,794
525. 55129 72.0 54.0 (+18.0)#525 48.0 (+24.0)#16,812
526. 55992 72.0 54.0 (+18.0)#526 48.0 (+24.0)#16,878
527. 56623 72.0 54.0 (+18.0)#527 48.0 (+24.0)#16,900
528. 56128 72.0 54.0 (+18.0)#528 48.0 (+24.0)#16,911
529. 56036 72.0 54.0 (+18.0)#529 48.0 (+24.0)#16,916
530. 56041 72.0 54.0 (+18.0)#530 48.0 (+24.0)#16,935
531. 55313 73.0 54.0 (+19.0)#531 48.0 (+25.0)#16,969
532. 56364 73.0 54.0 (+19.0)#532 48.0 (+25.0)#17,027
533. 55795 73.0 54.0 (+19.0)#533 48.0 (+25.0)#17,051
534. 56054 73.0 54.0 (+19.0)#534 48.0 (+25.0)#17,071
535. 56168 73.0 54.0 (+19.0)#535 48.0 (+25.0)#17,077
536. 56722 73.0 54.0 (+19.0)#536 48.0 (+25.0)#17,086
537. 55328 74.0 54.0 (+20.0)#537 48.0 (+26.0)#17,151
538. 55355 74.0 54.0 (+20.0)#538 48.0 (+26.0)#17,152
539. 55358 74.0 54.0 (+20.0)#539 48.0 (+26.0)#17,174
540. 56446 74.0 54.0 (+20.0)#540 48.0 (+26.0)#17,213
541. 56039 74.0 54.0 (+20.0)#541 48.0 (+26.0)#17,227
542. 56742 74.0 54.0 (+20.0)#542 48.0 (+26.0)#17,229
543. 56545 74.0 54.0 (+20.0)#543 48.0 (+26.0)#17,232
544. 55106 75.0 54.0 (+21.0)#544 48.0 (+27.0)#17,256
545. 56201 75.0 54.0 (+21.0)#545 48.0 (+27.0)#17,272
546. 55445 75.0 54.0 (+21.0)#546 48.0 (+27.0)#17,293
547. 55042 75.0 54.0 (+21.0)#547 48.0 (+27.0)#17,294
548. 55341 75.0 54.0 (+21.0)#548 48.0 (+27.0)#17,328
549. 56266 75.0 54.0 (+21.0)#549 48.0 (+27.0)#17,348
550. 55415 76.0 54.0 (+22.0)#550 48.0 (+28.0)#17,458
551. 56352 76.0 54.0 (+22.0)#551 48.0 (+28.0)#17,460
552. 56273 76.0 54.0 (+22.0)#552 48.0 (+28.0)#17,465
553. 55991 76.0 54.0 (+22.0)#553 48.0 (+28.0)#17,495
554. 55909 76.0 54.0 (+22.0)#554 48.0 (+28.0)#17,496
555. 56548 76.0 54.0 (+22.0)#555 48.0 (+28.0)#17,509
556. 55398 77.0 54.0 (+23.0)#556 48.0 (+29.0)#17,543
557. 56296 77.0 54.0 (+23.0)#557 48.0 (+29.0)#17,616
558. 56244 77.0 54.0 (+23.0)#558 48.0 (+29.0)#17,618
559. 55310 77.0 54.0 (+23.0)#559 48.0 (+29.0)#17,625
560. 55782 77.0 54.0 (+23.0)#560 48.0 (+29.0)#17,638
561. 55071 78.0 54.0 (+24.0)#561 48.0 (+30.0)#17,720
562. 55360 78.0 54.0 (+24.0)#562 48.0 (+30.0)#17,737
563. 56542 78.0 54.0 (+24.0)#563 48.0 (+30.0)#17,743
564. 55922 78.0 54.0 (+24.0)#564 48.0 (+30.0)#17,771
565. 56080 78.0 54.0 (+24.0)#565 48.0 (+30.0)#17,775
566. 55443 79.0 54.0 (+25.0)#566 48.0 (+31.0)#17,797
567. 55964 79.0 54.0 (+25.0)#567 48.0 (+31.0)#17,851
568. 55006 79.0 54.0 (+25.0)#568 48.0 (+31.0)#17,860
569. 55074 79.0 54.0 (+25.0)#569 48.0 (+31.0)#17,867
570. 56672 79.0 54.0 (+25.0)#570 48.0 (+31.0)#17,871
571. 56152 79.0 54.0 (+25.0)#571 48.0 (+31.0)#17,882
572. 55753 79.0 54.0 (+25.0)#572 48.0 (+31.0)#17,884
573. 56325 79.0 54.0 (+25.0)#573 48.0 (+31.0)#17,900
574. 55374 80.0 54.0 (+26.0)#574 48.0 (+32.0)#17,928
575. 56055 80.0 54.0 (+26.0)#575 48.0 (+32.0)#17,965
576. 55382 80.0 54.0 (+26.0)#576 48.0 (+32.0)#17,967
577. 56444 80.0 54.0 (+26.0)#577 48.0 (+32.0)#17,968
578. 56484 80.0 54.0 (+26.0)#578 48.0 (+32.0)#17,970
579. 55940 80.0 54.0 (+26.0)#579 48.0 (+32.0)#17,972
580. 56256 80.0 54.0 (+26.0)#580 48.0 (+32.0)#17,978
581. 56319 80.0 54.0 (+26.0)#581 48.0 (+32.0)#17,994
582. 56245 80.0 54.0 (+26.0)#582 48.0 (+32.0)#18,006
583. 55109 81.0 54.0 (+27.0)#583 48.0 (+33.0)#18,026
584. 56181 81.0 54.0 (+27.0)#584 48.0 (+33.0)#18,110
585. 56212 81.0 54.0 (+27.0)#585 48.0 (+33.0)#18,123
586. 55020 82.0 54.0 (+28.0)#586 48.0 (+34.0)#18,184
587. 55349 82.0 54.0 (+28.0)#587 48.0 (+34.0)#18,194
588. 56063 82.0 54.0 (+28.0)#588 48.0 (+34.0)#18,202
589. 56531 82.0 54.0 (+28.0)#589 48.0 (+34.0)#18,216
590. 56159 83.0 54.0 (+29.0)#590 48.0 (+35.0)#18,323
591. 55936 83.0 54.0 (+29.0)#591 48.0 (+35.0)#18,335
592. 55924 83.0 54.0 (+29.0)#592 48.0 (+35.0)#18,340
593. 56641 83.0 54.0 (+29.0)#593 48.0 (+35.0)#18,357
594. 55968 83.0 54.0 (+29.0)#594 48.0 (+35.0)#18,370
595. 56081 84.0 54.0 (+30.0)#595 48.0 (+36.0)#18,422
596. 56037 84.0 54.0 (+30.0)#596 48.0 (+36.0)#18,452
597. 56252 84.0 54.0 (+30.0)#597 48.0 (+36.0)#18,458
598. 56591 84.0 54.0 (+30.0)#598 48.0 (+36.0)#18,468
599. 55437 85.0 54.0 (+31.0)#599 48.0 (+37.0)#18,487
600. 56058 85.0 54.0 (+31.0)#600 48.0 (+37.0)#18,521