Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minnesota

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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

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minnesota

100.0
500.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minnesota Map

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
1. 56565 417.0 58.0 (+359)#1 53.0 (+364)#241
2. 56327 356.0 58.0 (+298)#2 53.0 (+303)#331
3. 56030 333.0 58.0 (+275)#3 53.0 (+280)#387
4. 56688 300.0 58.0 (+242)#4 53.0 (+247)#457
5. 55602 281.0 58.0 (+223)#5 53.0 (+228)#521
6. 56724 273.0 58.0 (+215)#6 53.0 (+220)#554
7. 56139 269.0 58.0 (+211)#7 53.0 (+216)#567
8. 56236 267.0 58.0 (+209)#8 53.0 (+214)#578
9. 56566 255.0 58.0 (+197)#9 53.0 (+202)#635
10. 56371 250.0 58.0 (+192)#10 53.0 (+197)#665
11. 55765 241.0 58.0 (+183)#11 53.0 (+188)#708
12. 56115 234.0 58.0 (+176)#12 53.0 (+181)#746
13. 55919 222.0 58.0 (+164)#13 53.0 (+169)#818
14. 55962 218.0 58.0 (+160)#14 53.0 (+165)#848
15. 56385 203.0 58.0 (+145)#15 53.0 (+150)#946
16. 56263 200.0 58.0 (+142)#16 53.0 (+147)#979
17. 56356 200.0 58.0 (+142)#17 53.0 (+147)#982
18. 55029 200.0 58.0 (+142)#18 53.0 (+147)#990
19. 56323 197.0 58.0 (+139)#19 53.0 (+144)#1,020
20. 56553 190.0 58.0 (+132)#20 53.0 (+137)#1,104
21. 56732 189.0 58.0 (+131)#21 53.0 (+136)#1,112
22. 55615 189.0 58.0 (+131)#22 53.0 (+136)#1,113
23. 56369 185.0 58.0 (+127)#23 53.0 (+132)#1,167
24. 56355 184.0 58.0 (+126)#24 53.0 (+131)#1,175
25. 56173 184.0 58.0 (+126)#25 53.0 (+131)#1,178
26. 56634 183.0 58.0 (+125)#26 53.0 (+130)#1,183
27. 56579 179.0 58.0 (+121)#27 53.0 (+126)#1,227
28. 55612 176.0 58.0 (+118)#28 53.0 (+123)#1,271
29. 56287 174.0 58.0 (+116)#29 53.0 (+121)#1,310
30. 56231 172.0 58.0 (+114)#30 53.0 (+119)#1,340
31. 56651 170.0 58.0 (+112)#31 53.0 (+117)#1,372
32. 56518 167.0 58.0 (+109)#32 53.0 (+114)#1,436
33. 56032 167.0 58.0 (+109)#33 53.0 (+114)#1,439
34. 56581 167.0 58.0 (+109)#34 53.0 (+114)#1,444
35. 56016 166.0 58.0 (+108)#35 53.0 (+113)#1,465
36. 56757 161.0 58.0 (+103)#36 53.0 (+108)#1,539
37. 56536 157.0 58.0 (+99.0)#37 53.0 (+104)#1,625
38. 56673 154.0 58.0 (+96.0)#38 53.0 (+101)#1,667
39. 56134 154.0 58.0 (+96.0)#39 53.0 (+101)#1,671
40. 56091 152.0 58.0 (+94.0)#40 53.0 (+99.0)#1,716
41. 55946 147.0 58.0 (+89.0)#41 53.0 (+94.0)#1,808
42. 55959 147.0 58.0 (+89.0)#42 53.0 (+94.0)#1,812
43. 56662 147.0 58.0 (+89.0)#43 53.0 (+94.0)#1,821
44. 55017 146.0 58.0 (+88.0)#44 53.0 (+93.0)#1,844
45. 56156 145.0 58.0 (+87.0)#45 53.0 (+92.0)#1,854
46. 56570 145.0 58.0 (+87.0)#46 53.0 (+92.0)#1,864
47. 56155 145.0 58.0 (+87.0)#47 53.0 (+92.0)#1,871
48. 56221 143.0 58.0 (+85.0)#48 53.0 (+90.0)#1,921
49. 56147 143.0 58.0 (+85.0)#49 53.0 (+90.0)#1,934
50. 56680 143.0 58.0 (+85.0)#50 53.0 (+90.0)#1,935
51. 56313 143.0 58.0 (+85.0)#51 53.0 (+90.0)#1,940
52. 56686 141.0 58.0 (+83.0)#52 53.0 (+88.0)#1,974
53. 55723 138.0 58.0 (+80.0)#53 53.0 (+85.0)#2,060
54. 56678 138.0 58.0 (+80.0)#54 53.0 (+85.0)#2,061
55. 56552 138.0 58.0 (+80.0)#55 53.0 (+85.0)#2,075
56. 56075 136.0 58.0 (+78.0)#56 53.0 (+83.0)#2,142
57. 56110 135.0 58.0 (+77.0)#57 53.0 (+82.0)#2,158
58. 55753 135.0 58.0 (+77.0)#58 53.0 (+82.0)#2,167
59. 56280 135.0 58.0 (+77.0)#59 53.0 (+82.0)#2,177
60. 56548 134.0 58.0 (+76.0)#60 53.0 (+81.0)#2,204
61. 56285 133.0 58.0 (+75.0)#61 53.0 (+80.0)#2,236
62. 55953 132.0 58.0 (+74.0)#62 53.0 (+79.0)#2,271
63. 56350 130.0 58.0 (+72.0)#63 53.0 (+77.0)#2,347
64. 55973 130.0 58.0 (+72.0)#64 53.0 (+77.0)#2,350
65. 55367 128.0 58.0 (+70.0)#65 53.0 (+75.0)#2,411
66. 55934 126.0 58.0 (+68.0)#66 53.0 (+73.0)#2,485
67. 56314 125.0 58.0 (+67.0)#67 53.0 (+72.0)#2,530
68. 56118 125.0 58.0 (+67.0)#68 53.0 (+72.0)#2,535
69. 56174 125.0 58.0 (+67.0)#69 53.0 (+72.0)#2,537
70. 56660 125.0 58.0 (+67.0)#70 53.0 (+72.0)#2,538
71. 56249 125.0 58.0 (+67.0)#71 53.0 (+72.0)#2,541
72. 56207 125.0 58.0 (+67.0)#72 53.0 (+72.0)#2,545
73. 56279 124.0 58.0 (+66.0)#73 53.0 (+71.0)#2,585
74. 56572 123.0 58.0 (+65.0)#74 53.0 (+70.0)#2,608
75. 56045 123.0 58.0 (+65.0)#75 53.0 (+70.0)#2,631
76. 56453 123.0 58.0 (+65.0)#76 53.0 (+70.0)#2,635
77. 55366 123.0 58.0 (+65.0)#77 53.0 (+70.0)#2,640
78. 55976 122.0 58.0 (+64.0)#78 53.0 (+69.0)#2,650
79. 56181 122.0 58.0 (+64.0)#79 53.0 (+69.0)#2,671
80. 56058 119.0 58.0 (+61.0)#80 53.0 (+66.0)#2,771
81. 56010 119.0 58.0 (+61.0)#81 53.0 (+66.0)#2,790
82. 56655 116.0 58.0 (+58.0)#82 53.0 (+63.0)#2,936
83. 56670 116.0 58.0 (+58.0)#83 53.0 (+63.0)#2,938
84. 56149 115.0 58.0 (+57.0)#84 53.0 (+62.0)#2,994
85. 56033 115.0 58.0 (+57.0)#85 53.0 (+62.0)#3,007
86. 55325 114.0 58.0 (+56.0)#86 53.0 (+61.0)#3,032
87. 56557 114.0 58.0 (+56.0)#87 53.0 (+61.0)#3,040
88. 56293 113.0 58.0 (+55.0)#88 53.0 (+60.0)#3,100
89. 56219 111.0 58.0 (+53.0)#89 53.0 (+58.0)#3,215
90. 56331 110.0 58.0 (+52.0)#90 53.0 (+57.0)#3,283
91. 55735 110.0 58.0 (+52.0)#91 53.0 (+57.0)#3,287
92. 55924 110.0 58.0 (+52.0)#92 53.0 (+57.0)#3,293
93. 56235 110.0 58.0 (+52.0)#93 53.0 (+57.0)#3,306
94. 55130 109.0 58.0 (+51.0)#94 53.0 (+56.0)#3,310
95. 55088 109.0 58.0 (+51.0)#95 53.0 (+56.0)#3,329
96. 55716 109.0 58.0 (+51.0)#96 53.0 (+56.0)#3,356
97. 56069 108.0 58.0 (+50.0)#97 53.0 (+55.0)#3,388
98. 56215 108.0 58.0 (+50.0)#98 53.0 (+55.0)#3,390
99. 55310 108.0 58.0 (+50.0)#99 53.0 (+55.0)#3,406
100. 56633 107.0 58.0 (+49.0)#100 53.0 (+54.0)#3,446

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minnesota?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minnesota are:
#1
417.0
#2
356.0
#3
333.0
#4
300.0
#5
281.0
#6
273.0
#7
269.0
#8
267.0
#9
255.0
#10
250.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Minnesota?
56565 has the Most Births per 1,000 Women Below Poverty Level in Minnesota with 417.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Minnesota?
Number of Births per 1,000 Women Below Poverty Level in Minnesota is 58.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.