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

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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
101.5501824.054.0(-30.0)#10148.0(-24.0)#3,840
102.5593324.054.0(-30.0)#10248.0(-24.0)#3,858
103.5543825.054.0(-29.0)#10348.0(-23.0)#3,961
104.5575125.054.0(-29.0)#10448.0(-23.0)#4,103
105.5596925.054.0(-29.0)#10548.0(-23.0)#4,111
106.5572026.054.0(-28.0)#10648.0(-22.0)#4,226
107.5592126.054.0(-28.0)#10748.0(-22.0)#4,327
108.5537526.054.0(-28.0)#10848.0(-22.0)#4,333
109.5575026.054.0(-28.0)#10948.0(-22.0)#4,375
110.5594126.054.0(-28.0)#11048.0(-22.0)#4,406
111.5572426.054.0(-28.0)#11148.0(-22.0)#4,418
112.5615126.054.0(-28.0)#11248.0(-22.0)#4,427
113.5579826.054.0(-28.0)#11348.0(-22.0)#4,429
114.5598226.054.0(-28.0)#11448.0(-22.0)#4,433
115.5543627.054.0(-27.0)#11548.0(-21.0)#4,566
116.5561627.054.0(-27.0)#11648.0(-21.0)#4,607
117.5535627.054.0(-27.0)#11748.0(-21.0)#4,615
118.5615027.054.0(-27.0)#11848.0(-21.0)#4,661
119.5622327.054.0(-27.0)#11948.0(-21.0)#4,697
120.5672327.054.0(-27.0)#12048.0(-21.0)#4,715
121.5633028.054.0(-26.0)#12148.0(-20.0)#4,975
122.5673428.054.0(-26.0)#12248.0(-20.0)#5,014
123.5616528.054.0(-26.0)#12348.0(-20.0)#5,022
124.5579229.054.0(-25.0)#12448.0(-19.0)#5,147
125.5628329.054.0(-25.0)#12548.0(-19.0)#5,175
126.5531929.054.0(-25.0)#12648.0(-19.0)#5,184
127.5533429.054.0(-25.0)#12748.0(-19.0)#5,234
128.5655429.054.0(-25.0)#12848.0(-19.0)#5,237
129.5598529.054.0(-25.0)#12948.0(-19.0)#5,261
130.5531429.054.0(-25.0)#13048.0(-19.0)#5,282
131.5658529.054.0(-25.0)#13148.0(-19.0)#5,285
132.5673729.054.0(-25.0)#13248.0(-19.0)#5,297
133.5615829.054.0(-25.0)#13348.0(-19.0)#5,311
134.5510530.054.0(-24.0)#13448.0(-18.0)#5,389
135.5505730.054.0(-24.0)#13548.0(-18.0)#5,400
136.5538830.054.0(-24.0)#13648.0(-18.0)#5,502
137.5624330.054.0(-24.0)#13748.0(-18.0)#5,562
138.5593930.054.0(-24.0)#13848.0(-18.0)#5,563
139.5616930.054.0(-24.0)#13948.0(-18.0)#5,593
140.5602530.054.0(-24.0)#14048.0(-18.0)#5,595
141.5660131.054.0(-23.0)#14148.0(-17.0)#5,649
142.5540531.054.0(-23.0)#14248.0(-17.0)#5,726
143.5534431.054.0(-23.0)#14348.0(-17.0)#5,737
144.5580631.054.0(-23.0)#14448.0(-17.0)#5,763
145.5637831.054.0(-23.0)#14548.0(-17.0)#5,769
146.5511431.054.0(-23.0)#14648.0(-17.0)#5,822
147.5535731.054.0(-23.0)#14748.0(-17.0)#5,826
148.5508031.054.0(-23.0)#14848.0(-17.0)#5,831
149.5543232.054.0(-22.0)#14948.0(-16.0)#5,959
150.5503332.054.0(-22.0)#15048.0(-16.0)#5,971
151.5511832.054.0(-22.0)#15148.0(-16.0)#5,974
152.5531732.054.0(-22.0)#15248.0(-16.0)#6,001
153.5605732.054.0(-22.0)#15348.0(-16.0)#6,123
154.5624132.054.0(-22.0)#15448.0(-16.0)#6,128
155.5667632.054.0(-22.0)#15548.0(-16.0)#6,177
156.5673832.054.0(-22.0)#15648.0(-16.0)#6,186
157.5673632.054.0(-22.0)#15748.0(-16.0)#6,220
158.5535233.054.0(-21.0)#15848.0(-15.0)#6,404
159.5648233.054.0(-21.0)#15948.0(-15.0)#6,420
160.5505433.054.0(-21.0)#16048.0(-15.0)#6,485
161.5620933.054.0(-21.0)#16148.0(-15.0)#6,486
162.5618033.054.0(-21.0)#16248.0(-15.0)#6,525
163.5534334.054.0(-20.0)#16348.0(-14.0)#6,645
164.5603134.054.0(-20.0)#16448.0(-14.0)#6,727
165.5539034.054.0(-20.0)#16548.0(-14.0)#6,789
166.5500734.054.0(-20.0)#16648.0(-14.0)#6,799
167.5501934.054.0(-20.0)#16748.0(-14.0)#6,802
168.5628434.054.0(-20.0)#16848.0(-14.0)#6,803
169.5638234.054.0(-20.0)#16948.0(-14.0)#6,829
170.5653534.054.0(-20.0)#17048.0(-14.0)#6,831
171.5674834.054.0(-20.0)#17148.0(-14.0)#6,858
172.5623534.054.0(-20.0)#17248.0(-14.0)#6,861
173.5608934.054.0(-20.0)#17348.0(-14.0)#6,869
174.5542335.054.0(-19.0)#17448.0(-13.0)#6,916
175.5510235.054.0(-19.0)#17548.0(-13.0)#6,980
176.5530635.054.0(-19.0)#17648.0(-13.0)#6,994
177.5544235.054.0(-19.0)#17748.0(-13.0)#7,008
178.5507235.054.0(-19.0)#17848.0(-13.0)#7,077
179.5594935.054.0(-19.0)#17948.0(-13.0)#7,125
180.5633635.054.0(-19.0)#18048.0(-13.0)#7,136
181.5570435.054.0(-19.0)#18148.0(-13.0)#7,148
182.5623035.054.0(-19.0)#18248.0(-13.0)#7,154
183.5617035.054.0(-19.0)#18348.0(-13.0)#7,156
184.5673335.054.0(-19.0)#18448.0(-13.0)#7,159
185.5537236.054.0(-18.0)#18548.0(-12.0)#7,219
186.5540436.054.0(-18.0)#18648.0(-12.0)#7,239
187.5532736.054.0(-18.0)#18748.0(-12.0)#7,368
188.5647936.054.0(-18.0)#18848.0(-12.0)#7,370
189.5646636.054.0(-18.0)#18948.0(-12.0)#7,387
190.5672836.054.0(-18.0)#19048.0(-12.0)#7,437
191.5628136.054.0(-18.0)#19148.0(-12.0)#7,452
192.5570236.054.0(-18.0)#19248.0(-12.0)#7,458
193.5590637.054.0(-17.0)#19348.0(-11.0)#7,599
194.5637937.054.0(-17.0)#19448.0(-11.0)#7,616
195.5538637.054.0(-17.0)#19548.0(-11.0)#7,679
196.5580837.054.0(-17.0)#19648.0(-11.0)#7,713
197.5602637.054.0(-17.0)#19748.0(-11.0)#7,764
198.5570837.054.0(-17.0)#19848.0(-11.0)#7,793
199.5504038.054.0(-16.0)#19948.0(-10.00)#7,948
200.5512038.054.0(-16.0)#20048.0(-10.00)#8,023