Zip Codes with the Most Births per 1,000 Women in Labor Force in Minnesota [ 201 - 300 ]

RELATED REPORTS & OPTIONS

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
201.5536078.054.0(+24.0)#20148.0(+30.0)#5,555
202.5654278.054.0(+24.0)#20248.0(+30.0)#5,561
203.5592278.054.0(+24.0)#20348.0(+30.0)#5,589
204.5608078.054.0(+24.0)#20448.0(+30.0)#5,593
205.5539877.054.0(+23.0)#20548.0(+29.0)#5,632
206.5629677.054.0(+23.0)#20648.0(+29.0)#5,705
207.5624477.054.0(+23.0)#20748.0(+29.0)#5,707
208.5531077.054.0(+23.0)#20848.0(+29.0)#5,714
209.5578277.054.0(+23.0)#20948.0(+29.0)#5,727
210.5541576.054.0(+22.0)#21048.0(+28.0)#5,820
211.5635276.054.0(+22.0)#21148.0(+28.0)#5,822
212.5627376.054.0(+22.0)#21248.0(+28.0)#5,827
213.5599176.054.0(+22.0)#21348.0(+28.0)#5,857
214.5590976.054.0(+22.0)#21448.0(+28.0)#5,858
215.5654876.054.0(+22.0)#21548.0(+28.0)#5,871
216.5510675.054.0(+21.0)#21648.0(+27.0)#5,881
217.5620175.054.0(+21.0)#21748.0(+27.0)#5,897
218.5544575.054.0(+21.0)#21848.0(+27.0)#5,918
219.5504275.054.0(+21.0)#21948.0(+27.0)#5,919
220.5534175.054.0(+21.0)#22048.0(+27.0)#5,953
221.5626675.054.0(+21.0)#22148.0(+27.0)#5,973
222.5532874.054.0(+20.0)#22248.0(+26.0)#6,065
223.5535574.054.0(+20.0)#22348.0(+26.0)#6,066
224.5535874.054.0(+20.0)#22448.0(+26.0)#6,088
225.5644674.054.0(+20.0)#22548.0(+26.0)#6,127
226.5603974.054.0(+20.0)#22648.0(+26.0)#6,141
227.5674274.054.0(+20.0)#22748.0(+26.0)#6,143
228.5654574.054.0(+20.0)#22848.0(+26.0)#6,146
229.5531373.054.0(+19.0)#22948.0(+25.0)#6,189
230.5636473.054.0(+19.0)#23048.0(+25.0)#6,247
231.5579573.054.0(+19.0)#23148.0(+25.0)#6,271
232.5605473.054.0(+19.0)#23248.0(+25.0)#6,291
233.5616873.054.0(+19.0)#23348.0(+25.0)#6,297
234.5672273.054.0(+19.0)#23448.0(+25.0)#6,306
235.5504472.054.0(+18.0)#23548.0(+24.0)#6,313
236.5511072.054.0(+18.0)#23648.0(+24.0)#6,328
237.5512972.054.0(+18.0)#23748.0(+24.0)#6,346
238.5599272.054.0(+18.0)#23848.0(+24.0)#6,412
239.5662372.054.0(+18.0)#23948.0(+24.0)#6,434
240.5612872.054.0(+18.0)#24048.0(+24.0)#6,445
241.5603672.054.0(+18.0)#24148.0(+24.0)#6,450
242.5604172.054.0(+18.0)#24248.0(+24.0)#6,469
243.5630171.054.0(+17.0)#24348.0(+23.0)#6,500
244.5507671.054.0(+17.0)#24448.0(+23.0)#6,522
245.5667171.054.0(+17.0)#24548.0(+23.0)#6,589
246.5611071.054.0(+17.0)#24648.0(+23.0)#6,612
247.5533571.054.0(+17.0)#24748.0(+23.0)#6,613
248.5611171.054.0(+17.0)#24848.0(+23.0)#6,639
249.5597771.054.0(+17.0)#24948.0(+23.0)#6,648
250.5541170.054.0(+16.0)#25048.0(+22.0)#6,680
251.5502570.054.0(+16.0)#25148.0(+22.0)#6,692
252.5542670.054.0(+16.0)#25248.0(+22.0)#6,694
253.5543070.054.0(+16.0)#25348.0(+22.0)#6,696
254.5545470.054.0(+16.0)#25448.0(+22.0)#6,732
255.5631070.054.0(+16.0)#25548.0(+22.0)#6,748
256.5621570.054.0(+16.0)#25648.0(+22.0)#6,754
257.5627770.054.0(+16.0)#25748.0(+22.0)#6,768
258.5578170.054.0(+16.0)#25848.0(+22.0)#6,802
259.5629570.054.0(+16.0)#25948.0(+22.0)#6,815
260.5531169.054.0(+15.0)#26048.0(+21.0)#6,842
261.5541769.054.0(+15.0)#26148.0(+21.0)#6,861
262.5541069.054.0(+15.0)#26248.0(+21.0)#6,876
263.5510369.054.0(+15.0)#26348.0(+21.0)#6,897
264.5504669.054.0(+15.0)#26448.0(+21.0)#6,931
265.5500569.054.0(+15.0)#26548.0(+21.0)#6,941
266.5538969.054.0(+15.0)#26648.0(+21.0)#6,960
267.5648169.054.0(+15.0)#26748.0(+21.0)#6,967
268.5631269.054.0(+15.0)#26848.0(+21.0)#6,974
269.5644069.054.0(+15.0)#26948.0(+21.0)#6,989
270.5632469.054.0(+15.0)#27048.0(+21.0)#6,997
271.5664469.054.0(+15.0)#27148.0(+21.0)#7,007
272.5515069.054.0(+15.0)#27248.0(+21.0)#7,018
273.5501668.054.0(+14.0)#27348.0(+20.0)#7,044
274.5512868.054.0(+14.0)#27448.0(+20.0)#7,068
275.5544768.054.0(+14.0)#27548.0(+20.0)#7,083
276.5580768.054.0(+14.0)#27648.0(+20.0)#7,123
277.5657168.054.0(+14.0)#27748.0(+20.0)#7,178
278.5637568.054.0(+14.0)#27848.0(+20.0)#7,200
279.5631168.054.0(+14.0)#27948.0(+20.0)#7,202
280.5543467.054.0(+13.0)#28048.0(+19.0)#7,242
281.5630467.054.0(+13.0)#28148.0(+19.0)#7,286
282.5614367.054.0(+13.0)#28248.0(+19.0)#7,344
283.5609767.054.0(+13.0)#28348.0(+19.0)#7,352
284.5654767.054.0(+13.0)#28448.0(+19.0)#7,359
285.5602167.054.0(+13.0)#28548.0(+19.0)#7,390
286.5590166.054.0(+12.0)#28648.0(+18.0)#7,419
287.5541966.054.0(+12.0)#28748.0(+18.0)#7,445
288.5670166.054.0(+12.0)#28848.0(+18.0)#7,488
289.5597566.054.0(+12.0)#28948.0(+18.0)#7,531
290.5604866.054.0(+12.0)#29048.0(+18.0)#7,533
291.5596066.054.0(+12.0)#29148.0(+18.0)#7,542
292.5635866.054.0(+12.0)#29248.0(+18.0)#7,543
293.5597066.054.0(+12.0)#29348.0(+18.0)#7,576
294.5505366.054.0(+12.0)#29448.0(+18.0)#7,578
295.5634966.054.0(+12.0)#29548.0(+18.0)#7,582
296.5541865.054.0(+11.0)#29648.0(+17.0)#7,633
297.5541265.054.0(+11.0)#29748.0(+17.0)#7,646
298.5536465.054.0(+11.0)#29848.0(+17.0)#7,693
299.5511565.054.0(+11.0)#29948.0(+17.0)#7,715
300.5594465.054.0(+11.0)#30048.0(+17.0)#7,720