Zip Codes with the Most Births per 1,000 Women in Labor Force in Minnesota [ 101 - 200 ]

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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
101.55011108.054.0(+54.0)#10148.0(+60.0)#3,050
102.56334107.054.0(+53.0)#10248.0(+59.0)#3,107
103.56229107.054.0(+53.0)#10348.0(+59.0)#3,126
104.56667107.054.0(+53.0)#10448.0(+59.0)#3,135
105.55387105.054.0(+51.0)#10548.0(+57.0)#3,188
106.55032105.054.0(+51.0)#10648.0(+57.0)#3,209
107.55943105.054.0(+51.0)#10748.0(+57.0)#3,215
108.56078105.054.0(+51.0)#10848.0(+57.0)#3,236
109.55340104.054.0(+50.0)#10948.0(+56.0)#3,255
110.56458104.054.0(+50.0)#11048.0(+56.0)#3,297
111.56237103.054.0(+49.0)#11148.0(+55.0)#3,357
112.56523103.054.0(+49.0)#11248.0(+55.0)#3,360
113.56255103.054.0(+49.0)#11348.0(+55.0)#3,361
114.55765101.054.0(+47.0)#11448.0(+53.0)#3,479
115.56153100.054.0(+46.0)#11548.0(+52.0)#3,546
116.56020100.054.0(+46.0)#11648.0(+52.0)#3,547
117.5617899.054.0(+45.0)#11748.0(+51.0)#3,599
118.5627099.054.0(+45.0)#11848.0(+51.0)#3,604
119.5604299.054.0(+45.0)#11948.0(+51.0)#3,607
120.5638198.054.0(+44.0)#12048.0(+50.0)#3,657
121.5508898.054.0(+44.0)#12148.0(+50.0)#3,662
122.5652798.054.0(+44.0)#12248.0(+50.0)#3,673
123.5591297.054.0(+43.0)#12348.0(+49.0)#3,686
124.5532197.054.0(+43.0)#12448.0(+49.0)#3,713
125.5602497.054.0(+43.0)#12548.0(+49.0)#3,721
126.5504595.054.0(+41.0)#12648.0(+47.0)#3,844
127.5627895.054.0(+41.0)#12748.0(+47.0)#3,858
128.5672695.054.0(+41.0)#12848.0(+47.0)#3,863
129.5533794.054.0(+40.0)#12948.0(+46.0)#3,888
130.5675094.054.0(+40.0)#13048.0(+46.0)#3,927
131.5604494.054.0(+40.0)#13148.0(+46.0)#3,930
132.5631594.054.0(+40.0)#13248.0(+46.0)#3,935
133.5656793.054.0(+39.0)#13348.0(+45.0)#3,996
134.5657593.054.0(+39.0)#13448.0(+45.0)#4,022
135.5602993.054.0(+39.0)#13548.0(+45.0)#4,024
136.5536292.054.0(+38.0)#13648.0(+44.0)#4,041
137.5613692.054.0(+38.0)#13748.0(+44.0)#4,088
138.5576091.054.0(+37.0)#13848.0(+43.0)#4,148
139.5504991.054.0(+37.0)#13948.0(+43.0)#4,151
140.5601991.054.0(+37.0)#14048.0(+43.0)#4,177
141.5645391.054.0(+37.0)#14148.0(+43.0)#4,178
142.5612391.054.0(+37.0)#14248.0(+43.0)#4,189
143.5572591.054.0(+37.0)#14348.0(+43.0)#4,201
144.5647790.054.0(+36.0)#14448.0(+42.0)#4,255
145.5646990.054.0(+36.0)#14548.0(+42.0)#4,282
146.5513089.054.0(+35.0)#14648.0(+41.0)#4,306
147.5629289.054.0(+35.0)#14748.0(+41.0)#4,383
148.5502188.054.0(+34.0)#14848.0(+40.0)#4,396
149.5512688.054.0(+34.0)#14948.0(+40.0)#4,400
150.5629388.054.0(+34.0)#15048.0(+40.0)#4,465
151.5629188.054.0(+34.0)#15148.0(+40.0)#4,478
152.5508588.054.0(+34.0)#15248.0(+40.0)#4,479
153.5675187.054.0(+33.0)#15348.0(+39.0)#4,534
154.5601787.054.0(+33.0)#15448.0(+39.0)#4,561
155.5602887.054.0(+33.0)#15548.0(+39.0)#4,572
156.5560387.054.0(+33.0)#15648.0(+39.0)#4,580
157.5616287.054.0(+33.0)#15748.0(+39.0)#4,584
158.5542986.054.0(+32.0)#15848.0(+38.0)#4,592
159.5504186.054.0(+32.0)#15948.0(+38.0)#4,624
160.5652086.054.0(+32.0)#16048.0(+38.0)#4,641
161.5532986.054.0(+32.0)#16148.0(+38.0)#4,657
162.5611986.054.0(+32.0)#16248.0(+38.0)#4,672
163.5637686.054.0(+32.0)#16348.0(+38.0)#4,687
164.5543785.054.0(+31.0)#16448.0(+37.0)#4,707
165.5605885.054.0(+31.0)#16548.0(+37.0)#4,741
166.5617685.054.0(+31.0)#16648.0(+37.0)#4,778
167.5608184.054.0(+30.0)#16748.0(+36.0)#4,836
168.5603784.054.0(+30.0)#16848.0(+36.0)#4,866
169.5625284.054.0(+30.0)#16948.0(+36.0)#4,872
170.5659184.054.0(+30.0)#17048.0(+36.0)#4,882
171.5615983.054.0(+29.0)#17148.0(+35.0)#4,961
172.5593683.054.0(+29.0)#17248.0(+35.0)#4,973
173.5592483.054.0(+29.0)#17348.0(+35.0)#4,978
174.5664183.054.0(+29.0)#17448.0(+35.0)#4,995
175.5596883.054.0(+29.0)#17548.0(+35.0)#5,008
176.5502082.054.0(+28.0)#17648.0(+34.0)#5,064
177.5534982.054.0(+28.0)#17748.0(+34.0)#5,074
178.5606382.054.0(+28.0)#17848.0(+34.0)#5,082
179.5653182.054.0(+28.0)#17948.0(+34.0)#5,096
180.5510981.054.0(+27.0)#18048.0(+33.0)#5,137
181.5618181.054.0(+27.0)#18148.0(+33.0)#5,221
182.5621281.054.0(+27.0)#18248.0(+33.0)#5,234
183.5537480.054.0(+26.0)#18348.0(+32.0)#5,269
184.5605580.054.0(+26.0)#18448.0(+32.0)#5,306
185.5538280.054.0(+26.0)#18548.0(+32.0)#5,308
186.5644480.054.0(+26.0)#18648.0(+32.0)#5,309
187.5648480.054.0(+26.0)#18748.0(+32.0)#5,311
188.5594080.054.0(+26.0)#18848.0(+32.0)#5,313
189.5625680.054.0(+26.0)#18948.0(+32.0)#5,319
190.5631980.054.0(+26.0)#19048.0(+32.0)#5,335
191.5624580.054.0(+26.0)#19148.0(+32.0)#5,347
192.5544379.054.0(+25.0)#19248.0(+31.0)#5,365
193.5596479.054.0(+25.0)#19348.0(+31.0)#5,419
194.5500679.054.0(+25.0)#19448.0(+31.0)#5,428
195.5507479.054.0(+25.0)#19548.0(+31.0)#5,435
196.5667279.054.0(+25.0)#19648.0(+31.0)#5,439
197.5615279.054.0(+25.0)#19748.0(+31.0)#5,450
198.5575379.054.0(+25.0)#19848.0(+31.0)#5,452
199.5632579.054.0(+25.0)#19948.0(+31.0)#5,468
200.5507178.054.0(+24.0)#20048.0(+30.0)#5,538