Zip Codes with the Most Births per 1,000 Women in Labor Force in North Dakota

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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
North Dakota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in North Dakota

0.0
800.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in North Dakota Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in North Dakota

Zip Code Births / 1,000 Women vs State vs National
1. 58794 720.0 59.0 (+661)#1 48.0 (+672)#73
2. 58477 667.0 59.0 (+608)#2 48.0 (+619)#88
3. 58331 538.0 59.0 (+479)#3 48.0 (+490)#139
4. 58486 533.0 59.0 (+474)#4 48.0 (+485)#143
5. 58439 481.0 59.0 (+422)#5 48.0 (+433)#187
6. 58422 474.0 59.0 (+415)#6 48.0 (+426)#192
7. 58223 467.0 59.0 (+408)#7 48.0 (+419)#198
8. 58426 462.0 59.0 (+403)#8 48.0 (+414)#203
9. 58727 429.0 59.0 (+370)#9 48.0 (+381)#239
10. 58731 397.0 59.0 (+338)#10 48.0 (+349)#267
11. 58046 376.0 59.0 (+317)#11 48.0 (+328)#297
12. 58058 375.0 59.0 (+316)#12 48.0 (+327)#302
13. 58029 357.0 59.0 (+298)#13 48.0 (+309)#334
14. 58445 343.0 59.0 (+284)#14 48.0 (+295)#361
15. 58418 341.0 59.0 (+282)#15 48.0 (+293)#365
16. 58063 333.0 59.0 (+274)#16 48.0 (+285)#378
17. 58377 308.0 59.0 (+249)#17 48.0 (+260)#446
18. 58067 306.0 59.0 (+247)#18 48.0 (+258)#453
19. 58015 297.0 59.0 (+238)#19 48.0 (+249)#480
20. 58374 286.0 59.0 (+227)#20 48.0 (+238)#514
21. 58549 263.0 59.0 (+204)#21 48.0 (+215)#606
22. 58645 261.0 59.0 (+202)#22 48.0 (+213)#615
23. 58335 250.0 59.0 (+191)#23 48.0 (+202)#644
24. 58227 231.0 59.0 (+172)#24 48.0 (+183)#757
25. 58755 230.0 59.0 (+171)#25 48.0 (+182)#772
26. 58490 222.0 59.0 (+163)#26 48.0 (+174)#819
27. 58838 214.0 59.0 (+155)#27 48.0 (+166)#886
28. 58788 213.0 59.0 (+154)#28 48.0 (+165)#892
29. 58768 200.0 59.0 (+141)#29 48.0 (+152)#991
30. 58229 200.0 59.0 (+141)#30 48.0 (+152)#1,015
31. 58784 196.0 59.0 (+137)#31 48.0 (+148)#1,045
32. 58576 176.0 59.0 (+117)#32 48.0 (+128)#1,241
33. 58274 176.0 59.0 (+117)#33 48.0 (+128)#1,242
34. 58348 171.0 59.0 (+112)#34 48.0 (+123)#1,326
35. 58541 169.0 59.0 (+110)#35 48.0 (+121)#1,356
36. 58012 167.0 59.0 (+108)#36 48.0 (+119)#1,372
37. 58324 167.0 59.0 (+108)#37 48.0 (+119)#1,380
38. 58566 162.0 59.0 (+103)#38 48.0 (+114)#1,471
39. 58639 159.0 59.0 (+100.0)#39 48.0 (+111)#1,516
40. 58646 159.0 59.0 (+100.0)#40 48.0 (+111)#1,520
41. 58344 158.0 59.0 (+99.0)#41 48.0 (+110)#1,536
42. 58538 155.0 59.0 (+96.0)#42 48.0 (+107)#1,596
43. 58472 154.0 59.0 (+95.0)#43 48.0 (+106)#1,613
44. 58210 154.0 59.0 (+95.0)#44 48.0 (+106)#1,615
45. 58561 152.0 59.0 (+93.0)#45 48.0 (+104)#1,646
46. 58081 150.0 59.0 (+91.0)#46 48.0 (+102)#1,684
47. 58544 149.0 59.0 (+90.0)#47 48.0 (+101)#1,707
48. 58259 147.0 59.0 (+88.0)#48 48.0 (+99.0)#1,752
49. 58001 147.0 59.0 (+88.0)#49 48.0 (+99.0)#1,754
50. 58455 145.0 59.0 (+86.0)#50 48.0 (+97.0)#1,791
51. 58785 144.0 59.0 (+85.0)#51 48.0 (+96.0)#1,801
52. 58710 143.0 59.0 (+84.0)#52 48.0 (+95.0)#1,834
53. 58379 143.0 59.0 (+84.0)#53 48.0 (+95.0)#1,841
54. 58464 143.0 59.0 (+84.0)#54 48.0 (+95.0)#1,845
55. 58051 140.0 59.0 (+81.0)#55 48.0 (+92.0)#1,902
56. 58631 140.0 59.0 (+81.0)#56 48.0 (+92.0)#1,910
57. 58736 140.0 59.0 (+81.0)#57 48.0 (+92.0)#1,912
58. 58346 138.0 59.0 (+79.0)#58 48.0 (+90.0)#1,974
59. 58650 138.0 59.0 (+79.0)#59 48.0 (+90.0)#1,977
60. 58237 136.0 59.0 (+77.0)#60 48.0 (+88.0)#2,013
61. 58577 134.0 59.0 (+75.0)#61 48.0 (+86.0)#2,075
62. 58261 130.0 59.0 (+71.0)#62 48.0 (+82.0)#2,185
63. 58256 129.0 59.0 (+70.0)#63 48.0 (+81.0)#2,232
64. 58463 125.0 59.0 (+66.0)#64 48.0 (+77.0)#2,366
65. 58852 124.0 59.0 (+65.0)#65 48.0 (+76.0)#2,398
66. 58533 123.0 59.0 (+64.0)#66 48.0 (+75.0)#2,433
67. 58849 122.0 59.0 (+63.0)#67 48.0 (+74.0)#2,458
68. 58069 120.0 59.0 (+61.0)#68 48.0 (+72.0)#2,537
69. 58632 118.0 59.0 (+59.0)#69 48.0 (+70.0)#2,621
70. 58318 114.0 59.0 (+55.0)#70 48.0 (+66.0)#2,758
71. 58341 111.0 59.0 (+52.0)#71 48.0 (+63.0)#2,895
72. 58356 111.0 59.0 (+52.0)#72 48.0 (+63.0)#2,903
73. 58036 111.0 59.0 (+52.0)#73 48.0 (+63.0)#2,928
74. 58581 111.0 59.0 (+52.0)#74 48.0 (+63.0)#2,930
75. 58758 111.0 59.0 (+52.0)#75 48.0 (+63.0)#2,933
76. 58238 111.0 59.0 (+52.0)#76 48.0 (+63.0)#2,940
77. 58027 109.0 59.0 (+50.0)#77 48.0 (+61.0)#3,024
78. 58552 108.0 59.0 (+49.0)#78 48.0 (+60.0)#3,075
79. 58424 105.0 59.0 (+46.0)#79 48.0 (+57.0)#3,238
80. 58384 105.0 59.0 (+46.0)#80 48.0 (+57.0)#3,241
81. 58655 104.0 59.0 (+45.0)#81 48.0 (+56.0)#3,295
82. 58064 104.0 59.0 (+45.0)#82 48.0 (+56.0)#3,296
83. 58204 103.0 59.0 (+44.0)#83 48.0 (+55.0)#3,345
84. 58041 101.0 59.0 (+42.0)#84 48.0 (+53.0)#3,471
85. 58327 100.0 59.0 (+41.0)#85 48.0 (+52.0)#3,537
86. 58704 98.0 59.0 (+39.0)#86 48.0 (+50.0)#3,644
87. 58735 97.0 59.0 (+38.0)#87 48.0 (+49.0)#3,756
88. 58251 96.0 59.0 (+37.0)#88 48.0 (+48.0)#3,804
89. 58243 95.0 59.0 (+36.0)#89 48.0 (+47.0)#3,878
90. 58428 94.0 59.0 (+35.0)#90 48.0 (+46.0)#3,955
91. 58230 92.0 59.0 (+33.0)#91 48.0 (+44.0)#4,096
92. 58416 91.0 59.0 (+32.0)#92 48.0 (+43.0)#4,187
93. 58277 91.0 59.0 (+32.0)#93 48.0 (+43.0)#4,199
94. 58763 90.0 59.0 (+31.0)#94 48.0 (+42.0)#4,248
95. 58523 89.0 59.0 (+30.0)#95 48.0 (+41.0)#4,347
96. 58425 89.0 59.0 (+30.0)#96 48.0 (+41.0)#4,375
97. 58737 88.0 59.0 (+29.0)#97 48.0 (+40.0)#4,485
98. 58078 87.0 59.0 (+28.0)#98 48.0 (+39.0)#4,489
99. 58045 87.0 59.0 (+28.0)#99 48.0 (+39.0)#4,557
100. 58487 87.0 59.0 (+28.0)#100 48.0 (+39.0)#4,578

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in North Dakota?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in North Dakota are:
#1
720.0
#2
667.0
#3
538.0
#4
533.0
#5
481.0
#6
474.0
#7
467.0
#8
462.0
#9
429.0
#10
397.0
What zip code has the Most Births per 1,000 Women in Labor Force in North Dakota?
58794 has the Most Births per 1,000 Women in Labor Force in North Dakota with 720.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of North Dakota?
Number of Births per 1,000 Women in Labor Force in North Dakota is 59.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.