Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minnesota [ 101 - 200 ]

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Highest Birth Rate | Below Poverty
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 Below Poverty Level in Minnesota

Zip Code Births / 1,000 Women vs State vs National
101.56024107.058.0(+49.0)#10153.0(+54.0)#3,450
102.56014107.058.0(+49.0)#10253.0(+54.0)#3,491
103.56117107.058.0(+49.0)#10353.0(+54.0)#3,496
104.55437106.058.0(+48.0)#10453.0(+53.0)#3,510
105.55388106.058.0(+48.0)#10553.0(+53.0)#3,522
106.56143106.058.0(+48.0)#10653.0(+53.0)#3,525
107.56088106.058.0(+48.0)#10753.0(+53.0)#3,539
108.56433106.058.0(+48.0)#10853.0(+53.0)#3,545
109.55736106.058.0(+48.0)#10953.0(+53.0)#3,551
110.55912105.058.0(+47.0)#11053.0(+52.0)#3,567
111.56542105.058.0(+47.0)#11153.0(+52.0)#3,601
112.56551105.058.0(+47.0)#11253.0(+52.0)#3,603
113.56334104.058.0(+46.0)#11353.0(+51.0)#3,657
114.56468103.058.0(+45.0)#11453.0(+50.0)#3,731
115.56244103.058.0(+45.0)#11553.0(+50.0)#3,757
116.55445102.058.0(+44.0)#11653.0(+49.0)#3,794
117.56567102.058.0(+44.0)#11753.0(+49.0)#3,822
118.56144102.058.0(+44.0)#11853.0(+49.0)#3,847
119.56248101.058.0(+43.0)#11953.0(+48.0)#3,908
120.55605101.058.0(+43.0)#12053.0(+48.0)#3,911
121.55376100.058.0(+42.0)#12153.0(+47.0)#3,924
122.56721100.058.0(+42.0)#12253.0(+47.0)#3,933
123.55336100.058.0(+42.0)#12353.0(+47.0)#3,939
124.55321100.058.0(+42.0)#12453.0(+47.0)#3,943
125.55945100.058.0(+42.0)#12553.0(+47.0)#3,982
126.56240100.058.0(+42.0)#12653.0(+47.0)#3,988
127.56020100.058.0(+42.0)#12753.0(+47.0)#4,017
128.5606299.058.0(+41.0)#12853.0(+46.0)#4,053
129.5502197.058.0(+39.0)#12953.0(+44.0)#4,188
130.5657197.058.0(+39.0)#13053.0(+44.0)#4,248
131.5591897.058.0(+39.0)#13153.0(+44.0)#4,258
132.5626097.058.0(+39.0)#13253.0(+44.0)#4,263
133.5593197.058.0(+39.0)#13353.0(+44.0)#4,270
134.5625597.058.0(+39.0)#13453.0(+44.0)#4,273
135.5537496.058.0(+38.0)#13553.0(+43.0)#4,294
136.5545495.058.0(+37.0)#13653.0(+42.0)#4,398
137.5530795.058.0(+37.0)#13753.0(+42.0)#4,424
138.5576095.058.0(+37.0)#13853.0(+42.0)#4,428
139.5505395.058.0(+37.0)#13953.0(+42.0)#4,460
140.5542994.058.0(+36.0)#14053.0(+41.0)#4,481
141.5539894.058.0(+36.0)#14153.0(+41.0)#4,490
142.5501194.058.0(+36.0)#14253.0(+41.0)#4,500
143.5647794.058.0(+36.0)#14353.0(+41.0)#4,525
144.5638194.058.0(+36.0)#14453.0(+41.0)#4,531
145.5675094.058.0(+36.0)#14553.0(+41.0)#4,532
146.5643793.058.0(+35.0)#14653.0(+40.0)#4,621
147.5655693.058.0(+35.0)#14753.0(+40.0)#4,623
148.5658593.058.0(+35.0)#14853.0(+40.0)#4,630
149.5652793.058.0(+35.0)#14953.0(+40.0)#4,634
150.5578193.058.0(+35.0)#15053.0(+40.0)#4,636
151.5626293.058.0(+35.0)#15153.0(+40.0)#4,639
152.5628993.058.0(+35.0)#15253.0(+40.0)#4,642
153.5534992.058.0(+34.0)#15353.0(+39.0)#4,695
154.5644692.058.0(+34.0)#15453.0(+39.0)#4,718
155.5672692.058.0(+34.0)#15553.0(+39.0)#4,719
156.5613692.058.0(+34.0)#15653.0(+39.0)#4,722
157.5512691.058.0(+33.0)#15753.0(+38.0)#4,752
158.5626591.058.0(+33.0)#15853.0(+38.0)#4,780
159.5503291.058.0(+33.0)#15953.0(+38.0)#4,804
160.5597991.058.0(+33.0)#16053.0(+38.0)#4,827
161.5531390.058.0(+32.0)#16153.0(+37.0)#4,865
162.5594390.058.0(+32.0)#16253.0(+37.0)#4,918
163.5604490.058.0(+32.0)#16353.0(+37.0)#4,928
164.5602690.058.0(+32.0)#16453.0(+37.0)#4,931
165.5631589.058.0(+31.0)#16553.0(+36.0)#5,022
166.5617889.058.0(+31.0)#16653.0(+36.0)#5,024
167.5653589.058.0(+31.0)#16753.0(+36.0)#5,033
168.5604289.058.0(+31.0)#16853.0(+36.0)#5,042
169.5602789.058.0(+31.0)#16953.0(+36.0)#5,045
170.5652289.058.0(+31.0)#17053.0(+36.0)#5,046
171.5676189.058.0(+31.0)#17153.0(+36.0)#5,049
172.5538788.058.0(+30.0)#17253.0(+35.0)#5,084
173.5596488.058.0(+30.0)#17353.0(+35.0)#5,105
174.5666688.058.0(+30.0)#17453.0(+35.0)#5,144
175.5597088.058.0(+30.0)#17553.0(+35.0)#5,149
176.5675888.058.0(+30.0)#17653.0(+35.0)#5,169
177.5533787.058.0(+29.0)#17753.0(+34.0)#5,181
178.5541587.058.0(+29.0)#17853.0(+34.0)#5,234
179.5500687.058.0(+29.0)#17953.0(+34.0)#5,250
180.5579587.058.0(+29.0)#18053.0(+34.0)#5,272
181.5674287.058.0(+29.0)#18153.0(+34.0)#5,289
182.5607887.058.0(+29.0)#18253.0(+34.0)#5,300
183.5510986.058.0(+28.0)#18353.0(+33.0)#5,309
184.5675186.058.0(+28.0)#18453.0(+33.0)#5,357
185.5647486.058.0(+28.0)#18553.0(+33.0)#5,362
186.5666786.058.0(+28.0)#18653.0(+33.0)#5,400
187.5655086.058.0(+28.0)#18753.0(+33.0)#5,412
188.5515086.058.0(+28.0)#18853.0(+33.0)#5,417
189.5544385.058.0(+27.0)#18953.0(+32.0)#5,429
190.5652085.058.0(+27.0)#19053.0(+32.0)#5,497
191.5504985.058.0(+27.0)#19153.0(+32.0)#5,515
192.5644085.058.0(+27.0)#19253.0(+32.0)#5,524
193.5625285.058.0(+27.0)#19353.0(+32.0)#5,526
194.5535584.058.0(+26.0)#19453.0(+31.0)#5,607
195.5511584.058.0(+26.0)#19553.0(+31.0)#5,610
196.5627784.058.0(+26.0)#19653.0(+31.0)#5,644
197.5623784.058.0(+26.0)#19753.0(+31.0)#5,680
198.5536283.058.0(+25.0)#19853.0(+30.0)#5,708
199.5624183.058.0(+25.0)#19953.0(+30.0)#5,755
200.5622983.058.0(+25.0)#20053.0(+30.0)#5,781