Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN

RELATED REPORTS & OPTIONS

Lowest Birth Rate | In Labor Force
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
Minneapolis
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis

86.0
11.0
Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN

Zip Code Births / 1,000 Women vs State vs National
1. 55409 11.0 54.0 (-43.0)#18 48.0 (-37.0)#862
2. 55403 12.0 54.0 (-42.0)#25 48.0 (-36.0)#1,016
3. 55408 13.0 54.0 (-41.0)#32 48.0 (-35.0)#1,168
4. 55414 14.0 54.0 (-40.0)#35 48.0 (-34.0)#1,354
5. 55420 21.0 54.0 (-33.0)#68 48.0 (-27.0)#2,849
6. 55425 22.0 54.0 (-32.0)#77 48.0 (-26.0)#3,159
7. 55438 25.0 54.0 (-29.0)#103 48.0 (-23.0)#3,961
8. 55436 27.0 54.0 (-27.0)#115 48.0 (-21.0)#4,566
9. 55405 31.0 54.0 (-23.0)#142 48.0 (-17.0)#5,726
10. 55432 32.0 54.0 (-22.0)#149 48.0 (-16.0)#5,959
11. 55423 35.0 54.0 (-19.0)#174 48.0 (-13.0)#6,916
12. 55442 35.0 54.0 (-19.0)#177 48.0 (-13.0)#7,008
13. 55404 36.0 54.0 (-18.0)#186 48.0 (-12.0)#7,239
14. 55413 39.0 54.0 (-15.0)#212 48.0 (-9.00)#8,323
15. 55448 40.0 54.0 (-14.0)#220 48.0 (-8.00)#8,543
16. 55407 41.0 54.0 (-13.0)#234 48.0 (-7.00)#8,861
17. 55444 41.0 54.0 (-13.0)#237 48.0 (-7.00)#8,958
18. 55401 41.0 54.0 (-13.0)#239 48.0 (-7.00)#8,992
19. 55428 42.0 54.0 (-12.0)#247 48.0 (-6.00)#9,218
20. 55422 44.0 54.0 (-10.00)#267 48.0 (-4.00)#9,911
21. 55416 45.0 54.0 (-9.00)#272 48.0 (-3.00)#10,174
22. 55427 48.0 54.0 (-6.00)#302 48.0 (=0.000)#11,145
23. 55431 48.0 54.0 (-6.00)#303 48.0 (=0.000)#11,171
24. 55439 52.0 54.0 (-2.00)#347 48.0 (+4.00)#12,400
25. 55433 54.0 54.0 (=0.000)#361 48.0 (+6.00)#12,859
26. 55446 54.0 54.0 (=0.000)#362 48.0 (+6.00)#12,880
27. 55435 56.0 54.0 (+2.00)#385 48.0 (+8.00)#13,498
28. 55424 58.0 54.0 (+4.00)#400 48.0 (+10.00)#14,012
29. 55421 59.0 54.0 (+5.00)#408 48.0 (+11.0)#14,174
30. 55441 59.0 54.0 (+5.00)#410 48.0 (+11.0)#14,219
31. 55406 60.0 54.0 (+6.00)#420 48.0 (+12.0)#14,397
32. 55449 61.0 54.0 (+7.00)#426 48.0 (+13.0)#14,602
33. 55418 65.0 54.0 (+11.0)#458 48.0 (+17.0)#15,485
34. 55412 65.0 54.0 (+11.0)#459 48.0 (+17.0)#15,498
35. 55419 66.0 54.0 (+12.0)#471 48.0 (+18.0)#15,699
36. 55434 67.0 54.0 (+13.0)#480 48.0 (+19.0)#15,871
37. 55447 68.0 54.0 (+14.0)#488 48.0 (+20.0)#16,107
38. 55417 69.0 54.0 (+15.0)#494 48.0 (+21.0)#16,282
39. 55410 69.0 54.0 (+15.0)#495 48.0 (+21.0)#16,297
40. 55411 70.0 54.0 (+16.0)#506 48.0 (+22.0)#16,469
41. 55426 70.0 54.0 (+16.0)#508 48.0 (+22.0)#16,483
42. 55430 70.0 54.0 (+16.0)#509 48.0 (+22.0)#16,485
43. 55454 70.0 54.0 (+16.0)#510 48.0 (+22.0)#16,521
44. 55445 75.0 54.0 (+21.0)#546 48.0 (+27.0)#17,293
45. 55415 76.0 54.0 (+22.0)#550 48.0 (+28.0)#17,458
46. 55443 79.0 54.0 (+25.0)#566 48.0 (+31.0)#17,797
47. 55437 85.0 54.0 (+31.0)#599 48.0 (+37.0)#18,487
48. 55429 86.0 54.0 (+32.0)#602 48.0 (+38.0)#18,574

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN are:
#1
11.0
#2
12.0
#3
13.0
#4
14.0
#5
21.0
#6
22.0
#7
25.0
#8
27.0
#9
31.0
#10
32.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN?
55409 has the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN with 11.0.
What is the Number Births per 1,000 Women in Labor Force in Minneapolis, MN?
Number Births per 1,000 Women in Labor Force in Minneapolis is 42.0.
What is the Number Births per 1,000 Women in Labor Force in Minnesota?
Number Births per 1,000 Women in Labor Force in Minnesota is 54.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.