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
1.574751,000.059.0(+941)#148.0(+952)#34
2.576401,000.059.0(+941)#248.0(+952)#47
3.57467741.059.0(+682)#348.0(+693)#70
4.57755647.059.0(+588)#448.0(+599)#101
5.57272619.059.0(+560)#548.0(+571)#111
6.57238594.059.0(+535)#648.0(+546)#122
7.57335500.059.0(+441)#748.0(+452)#165
8.57646482.059.0(+423)#848.0(+434)#185
9.57794467.059.0(+408)#948.0(+419)#197
10.57422429.059.0(+370)#1048.0(+381)#238
11.57061345.059.0(+286)#1148.0(+297)#357
12.57232341.059.0(+282)#1248.0(+293)#364
13.57024328.059.0(+269)#1348.0(+280)#402
14.57456312.059.0(+253)#1448.0(+264)#442
15.57242304.059.0(+245)#1548.0(+256)#459
16.57568301.059.0(+242)#1648.0(+253)#465
17.57329294.059.0(+235)#1748.0(+246)#486
18.57477286.059.0(+227)#1848.0(+238)#521
19.57450280.059.0(+221)#1948.0(+232)#537
20.57468250.059.0(+191)#2048.0(+202)#659
21.57722250.059.0(+191)#2148.0(+202)#666
22.57429250.059.0(+191)#2248.0(+202)#669
23.57536244.059.0(+185)#2348.0(+196)#694
24.57437241.059.0(+182)#2448.0(+193)#708
25.57332239.059.0(+180)#2548.0(+191)#720
26.57012235.059.0(+176)#2648.0(+187)#735
27.57461231.059.0(+172)#2748.0(+183)#759
28.57075229.059.0(+170)#2848.0(+181)#775
29.57073229.059.0(+170)#2948.0(+181)#776
30.57773227.059.0(+168)#3048.0(+179)#788
31.57361208.059.0(+149)#3148.0(+160)#929
32.57455208.059.0(+149)#3248.0(+160)#930
33.57569205.059.0(+146)#3348.0(+157)#956
34.57661200.059.0(+141)#3448.0(+152)#1,007
35.57544196.059.0(+137)#3548.0(+148)#1,055
36.57448194.059.0(+135)#3648.0(+146)#1,077
37.57058185.059.0(+126)#3748.0(+137)#1,145
38.57271182.059.0(+123)#3848.0(+134)#1,189
39.57340176.059.0(+117)#3948.0(+128)#1,250
40.57451174.059.0(+115)#4048.0(+126)#1,269
41.57321167.059.0(+108)#4148.0(+119)#1,396
42.57626165.059.0(+106)#4248.0(+117)#1,422
43.57213160.059.0(+101)#4348.0(+112)#1,503
44.57323160.059.0(+101)#4448.0(+112)#1,505
45.57424157.059.0(+98.0)#4548.0(+109)#1,560
46.57353155.059.0(+96.0)#4648.0(+107)#1,601
47.57339154.059.0(+95.0)#4748.0(+106)#1,609
48.57331154.059.0(+95.0)#4848.0(+106)#1,617
49.57033151.059.0(+92.0)#4948.0(+103)#1,656
50.57216147.059.0(+88.0)#5048.0(+99.0)#1,744
51.57632146.059.0(+87.0)#5148.0(+98.0)#1,771
52.57788145.059.0(+86.0)#5248.0(+97.0)#1,789
53.57221142.059.0(+83.0)#5348.0(+94.0)#1,874
54.57068138.059.0(+79.0)#5448.0(+90.0)#1,964
55.57365138.059.0(+79.0)#5548.0(+90.0)#1,975
56.57759138.059.0(+79.0)#5648.0(+90.0)#1,979
57.57042135.059.0(+76.0)#5748.0(+87.0)#2,041
58.57652133.059.0(+74.0)#5848.0(+85.0)#2,115
59.57555127.059.0(+68.0)#5948.0(+79.0)#2,276
60.57317125.059.0(+66.0)#6048.0(+77.0)#2,364
61.57010125.059.0(+66.0)#6148.0(+77.0)#2,369
62.57032120.059.0(+61.0)#6248.0(+72.0)#2,509
63.57257120.059.0(+61.0)#6348.0(+72.0)#2,531
64.57724120.059.0(+61.0)#6448.0(+72.0)#2,534
65.57256120.059.0(+61.0)#6548.0(+72.0)#2,536
66.57454119.059.0(+60.0)#6648.0(+71.0)#2,576
67.57445116.059.0(+57.0)#6748.0(+68.0)#2,687
68.57218116.059.0(+57.0)#6848.0(+68.0)#2,706
69.57744115.059.0(+56.0)#6948.0(+67.0)#2,727
70.57656115.059.0(+56.0)#7048.0(+67.0)#2,740
71.57384113.059.0(+54.0)#7148.0(+65.0)#2,818
72.57528111.059.0(+52.0)#7248.0(+63.0)#2,908
73.57004109.059.0(+50.0)#7348.0(+61.0)#3,012
74.57037109.059.0(+50.0)#7448.0(+61.0)#3,027
75.57043107.059.0(+48.0)#7548.0(+59.0)#3,127
76.57474107.059.0(+48.0)#7648.0(+59.0)#3,138
77.57380106.059.0(+47.0)#7748.0(+58.0)#3,156
78.57062106.059.0(+47.0)#7848.0(+58.0)#3,162
79.57601105.059.0(+46.0)#7948.0(+57.0)#3,207
80.57775102.059.0(+43.0)#8048.0(+54.0)#3,427
81.57330100.059.0(+41.0)#8148.0(+52.0)#3,535
82.57367100.059.0(+41.0)#8248.0(+52.0)#3,540
83.5776398.059.0(+39.0)#8348.0(+50.0)#3,680
84.5706497.059.0(+38.0)#8448.0(+49.0)#3,711
85.5736397.059.0(+38.0)#8548.0(+49.0)#3,749
86.5722696.059.0(+37.0)#8648.0(+48.0)#3,805
87.5705996.059.0(+37.0)#8748.0(+48.0)#3,811
88.5743295.059.0(+36.0)#8848.0(+47.0)#3,884
89.5702994.059.0(+35.0)#8948.0(+46.0)#3,926
90.5700394.059.0(+35.0)#9048.0(+46.0)#3,929
91.5777093.059.0(+34.0)#9148.0(+45.0)#3,984
92.5735092.059.0(+33.0)#9248.0(+44.0)#4,047
93.5735692.059.0(+33.0)#9348.0(+44.0)#4,077
94.5738292.059.0(+33.0)#9448.0(+44.0)#4,090
95.5763392.059.0(+33.0)#9548.0(+44.0)#4,102
96.5754891.059.0(+32.0)#9648.0(+43.0)#4,163
97.5744691.059.0(+32.0)#9748.0(+43.0)#4,182
98.5700290.059.0(+31.0)#9848.0(+42.0)#4,270
99.5734990.059.0(+31.0)#9948.0(+42.0)#4,273
100.5762090.059.0(+31.0)#10048.0(+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.