Zip Codes with the Most Births per 1,000 Women in Labor Force in South 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
South Dakota
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in South Dakota Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 57475 1,000.0 59.0 (+941)#1 48.0 (+952)#34
2. 57640 1,000.0 59.0 (+941)#2 48.0 (+952)#47
3. 57467 741.0 59.0 (+682)#3 48.0 (+693)#70
4. 57755 647.0 59.0 (+588)#4 48.0 (+599)#101
5. 57272 619.0 59.0 (+560)#5 48.0 (+571)#111
6. 57238 594.0 59.0 (+535)#6 48.0 (+546)#122
7. 57335 500.0 59.0 (+441)#7 48.0 (+452)#165
8. 57646 482.0 59.0 (+423)#8 48.0 (+434)#185
9. 57794 467.0 59.0 (+408)#9 48.0 (+419)#197
10. 57422 429.0 59.0 (+370)#10 48.0 (+381)#238
11. 57061 345.0 59.0 (+286)#11 48.0 (+297)#357
12. 57232 341.0 59.0 (+282)#12 48.0 (+293)#364
13. 57024 328.0 59.0 (+269)#13 48.0 (+280)#402
14. 57456 312.0 59.0 (+253)#14 48.0 (+264)#442
15. 57242 304.0 59.0 (+245)#15 48.0 (+256)#459
16. 57568 301.0 59.0 (+242)#16 48.0 (+253)#465
17. 57329 294.0 59.0 (+235)#17 48.0 (+246)#486
18. 57477 286.0 59.0 (+227)#18 48.0 (+238)#521
19. 57450 280.0 59.0 (+221)#19 48.0 (+232)#537
20. 57468 250.0 59.0 (+191)#20 48.0 (+202)#659
21. 57722 250.0 59.0 (+191)#21 48.0 (+202)#666
22. 57429 250.0 59.0 (+191)#22 48.0 (+202)#669
23. 57536 244.0 59.0 (+185)#23 48.0 (+196)#694
24. 57437 241.0 59.0 (+182)#24 48.0 (+193)#708
25. 57332 239.0 59.0 (+180)#25 48.0 (+191)#720
26. 57012 235.0 59.0 (+176)#26 48.0 (+187)#735
27. 57461 231.0 59.0 (+172)#27 48.0 (+183)#759
28. 57075 229.0 59.0 (+170)#28 48.0 (+181)#775
29. 57073 229.0 59.0 (+170)#29 48.0 (+181)#776
30. 57773 227.0 59.0 (+168)#30 48.0 (+179)#788
31. 57361 208.0 59.0 (+149)#31 48.0 (+160)#929
32. 57455 208.0 59.0 (+149)#32 48.0 (+160)#930
33. 57569 205.0 59.0 (+146)#33 48.0 (+157)#956
34. 57661 200.0 59.0 (+141)#34 48.0 (+152)#1,007
35. 57544 196.0 59.0 (+137)#35 48.0 (+148)#1,055
36. 57448 194.0 59.0 (+135)#36 48.0 (+146)#1,077
37. 57058 185.0 59.0 (+126)#37 48.0 (+137)#1,145
38. 57271 182.0 59.0 (+123)#38 48.0 (+134)#1,189
39. 57340 176.0 59.0 (+117)#39 48.0 (+128)#1,250
40. 57451 174.0 59.0 (+115)#40 48.0 (+126)#1,269
41. 57321 167.0 59.0 (+108)#41 48.0 (+119)#1,396
42. 57626 165.0 59.0 (+106)#42 48.0 (+117)#1,422
43. 57213 160.0 59.0 (+101)#43 48.0 (+112)#1,503
44. 57323 160.0 59.0 (+101)#44 48.0 (+112)#1,505
45. 57424 157.0 59.0 (+98.0)#45 48.0 (+109)#1,560
46. 57353 155.0 59.0 (+96.0)#46 48.0 (+107)#1,601
47. 57339 154.0 59.0 (+95.0)#47 48.0 (+106)#1,609
48. 57331 154.0 59.0 (+95.0)#48 48.0 (+106)#1,617
49. 57033 151.0 59.0 (+92.0)#49 48.0 (+103)#1,656
50. 57216 147.0 59.0 (+88.0)#50 48.0 (+99.0)#1,744
51. 57632 146.0 59.0 (+87.0)#51 48.0 (+98.0)#1,771
52. 57788 145.0 59.0 (+86.0)#52 48.0 (+97.0)#1,789
53. 57221 142.0 59.0 (+83.0)#53 48.0 (+94.0)#1,874
54. 57068 138.0 59.0 (+79.0)#54 48.0 (+90.0)#1,964
55. 57365 138.0 59.0 (+79.0)#55 48.0 (+90.0)#1,975
56. 57759 138.0 59.0 (+79.0)#56 48.0 (+90.0)#1,979
57. 57042 135.0 59.0 (+76.0)#57 48.0 (+87.0)#2,041
58. 57652 133.0 59.0 (+74.0)#58 48.0 (+85.0)#2,115
59. 57555 127.0 59.0 (+68.0)#59 48.0 (+79.0)#2,276
60. 57317 125.0 59.0 (+66.0)#60 48.0 (+77.0)#2,364
61. 57010 125.0 59.0 (+66.0)#61 48.0 (+77.0)#2,369
62. 57032 120.0 59.0 (+61.0)#62 48.0 (+72.0)#2,509
63. 57257 120.0 59.0 (+61.0)#63 48.0 (+72.0)#2,531
64. 57724 120.0 59.0 (+61.0)#64 48.0 (+72.0)#2,534
65. 57256 120.0 59.0 (+61.0)#65 48.0 (+72.0)#2,536
66. 57454 119.0 59.0 (+60.0)#66 48.0 (+71.0)#2,576
67. 57445 116.0 59.0 (+57.0)#67 48.0 (+68.0)#2,687
68. 57218 116.0 59.0 (+57.0)#68 48.0 (+68.0)#2,706
69. 57744 115.0 59.0 (+56.0)#69 48.0 (+67.0)#2,727
70. 57656 115.0 59.0 (+56.0)#70 48.0 (+67.0)#2,740
71. 57384 113.0 59.0 (+54.0)#71 48.0 (+65.0)#2,818
72. 57528 111.0 59.0 (+52.0)#72 48.0 (+63.0)#2,908
73. 57004 109.0 59.0 (+50.0)#73 48.0 (+61.0)#3,012
74. 57037 109.0 59.0 (+50.0)#74 48.0 (+61.0)#3,027
75. 57043 107.0 59.0 (+48.0)#75 48.0 (+59.0)#3,127
76. 57474 107.0 59.0 (+48.0)#76 48.0 (+59.0)#3,138
77. 57380 106.0 59.0 (+47.0)#77 48.0 (+58.0)#3,156
78. 57062 106.0 59.0 (+47.0)#78 48.0 (+58.0)#3,162
79. 57601 105.0 59.0 (+46.0)#79 48.0 (+57.0)#3,207
80. 57775 102.0 59.0 (+43.0)#80 48.0 (+54.0)#3,427
81. 57330 100.0 59.0 (+41.0)#81 48.0 (+52.0)#3,535
82. 57367 100.0 59.0 (+41.0)#82 48.0 (+52.0)#3,540
83. 57763 98.0 59.0 (+39.0)#83 48.0 (+50.0)#3,680
84. 57064 97.0 59.0 (+38.0)#84 48.0 (+49.0)#3,711
85. 57363 97.0 59.0 (+38.0)#85 48.0 (+49.0)#3,749
86. 57226 96.0 59.0 (+37.0)#86 48.0 (+48.0)#3,805
87. 57059 96.0 59.0 (+37.0)#87 48.0 (+48.0)#3,811
88. 57432 95.0 59.0 (+36.0)#88 48.0 (+47.0)#3,884
89. 57029 94.0 59.0 (+35.0)#89 48.0 (+46.0)#3,926
90. 57003 94.0 59.0 (+35.0)#90 48.0 (+46.0)#3,929
91. 57770 93.0 59.0 (+34.0)#91 48.0 (+45.0)#3,984
92. 57350 92.0 59.0 (+33.0)#92 48.0 (+44.0)#4,047
93. 57356 92.0 59.0 (+33.0)#93 48.0 (+44.0)#4,077
94. 57382 92.0 59.0 (+33.0)#94 48.0 (+44.0)#4,090
95. 57633 92.0 59.0 (+33.0)#95 48.0 (+44.0)#4,102
96. 57548 91.0 59.0 (+32.0)#96 48.0 (+43.0)#4,163
97. 57446 91.0 59.0 (+32.0)#97 48.0 (+43.0)#4,182
98. 57002 90.0 59.0 (+31.0)#98 48.0 (+42.0)#4,270
99. 57349 90.0 59.0 (+31.0)#99 48.0 (+42.0)#4,273
100. 57620 90.0 59.0 (+31.0)#100 48.0 (+42.0)#4,285

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in South Dakota?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in South Dakota are:
#1
1,000.0
#2
1,000.0
#3
741.0
#4
647.0
#5
619.0
#6
594.0
#7
500.0
#8
482.0
#9
467.0
#10
429.0
What zip code has the Most Births per 1,000 Women in Labor Force in South Dakota?
57475 has the Most Births per 1,000 Women in Labor Force in South Dakota with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of South Dakota?
Number of Births per 1,000 Women in Labor Force in South 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.