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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in South Dakota

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

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

Zip Code Births / 1,000 Women vs State vs National
1.577324.059.0(-55.0)#148.0(-44.0)#157
2.572606.059.0(-53.0)#248.0(-42.0)#302
3.572416.059.0(-53.0)#348.0(-42.0)#304
4.570187.059.0(-52.0)#448.0(-41.0)#393
5.572799.059.0(-50.0)#548.0(-39.0)#660
6.573709.059.0(-50.0)#648.0(-39.0)#667
7.5703110.059.0(-49.0)#748.0(-38.0)#823
8.5753211.059.0(-48.0)#848.0(-37.0)#939
9.5726813.059.0(-46.0)#948.0(-35.0)#1,341
10.5757214.059.0(-45.0)#1048.0(-34.0)#1,497
11.5763816.059.0(-43.0)#1148.0(-32.0)#1,877
12.5707117.059.0(-42.0)#1248.0(-31.0)#2,038
13.5701417.059.0(-42.0)#1348.0(-31.0)#2,071
14.5700618.059.0(-41.0)#1448.0(-30.0)#2,147
15.5744218.059.0(-41.0)#1548.0(-30.0)#2,270
16.5723418.059.0(-41.0)#1648.0(-30.0)#2,291
17.5725918.059.0(-41.0)#1748.0(-30.0)#2,313
18.5757019.059.0(-40.0)#1848.0(-29.0)#2,484
19.5778320.059.0(-39.0)#1948.0(-28.0)#2,609
20.5701620.059.0(-39.0)#2048.0(-28.0)#2,785
21.5752220.059.0(-39.0)#2148.0(-28.0)#2,789
22.5743620.059.0(-39.0)#2248.0(-28.0)#2,791
23.5746520.059.0(-39.0)#2348.0(-28.0)#2,793
24.5722022.059.0(-37.0)#2448.0(-26.0)#3,286
25.5772022.059.0(-37.0)#2548.0(-26.0)#3,295
26.5779323.059.0(-36.0)#2648.0(-25.0)#3,516
27.5706323.059.0(-36.0)#2748.0(-25.0)#3,548
28.5731423.059.0(-36.0)#2848.0(-25.0)#3,559
29.5743423.059.0(-36.0)#2948.0(-25.0)#3,563
30.5726523.059.0(-36.0)#3048.0(-25.0)#3,569
31.5753324.059.0(-35.0)#3148.0(-24.0)#3,811
32.5704824.059.0(-35.0)#3248.0(-24.0)#3,825
33.5736825.059.0(-34.0)#3348.0(-23.0)#4,113
34.5726625.059.0(-34.0)#3448.0(-23.0)#4,129
35.5727026.059.0(-33.0)#3548.0(-22.0)#4,420
36.5771727.059.0(-32.0)#3648.0(-21.0)#4,602
37.5736627.059.0(-32.0)#3748.0(-21.0)#4,663
38.5758029.059.0(-30.0)#3848.0(-19.0)#5,203
39.5774529.059.0(-30.0)#3948.0(-19.0)#5,259
40.5731529.059.0(-30.0)#4048.0(-19.0)#5,284
41.5737529.059.0(-30.0)#4148.0(-19.0)#5,301
42.5743830.059.0(-29.0)#4248.0(-18.0)#5,584
43.5703531.059.0(-28.0)#4348.0(-17.0)#5,865
44.5770332.059.0(-27.0)#4448.0(-16.0)#6,018
45.5762332.059.0(-27.0)#4548.0(-16.0)#6,212
46.5704533.059.0(-26.0)#4648.0(-15.0)#6,521
47.5742833.059.0(-26.0)#4748.0(-15.0)#6,547
48.5726433.059.0(-26.0)#4848.0(-15.0)#6,556
49.5731134.059.0(-25.0)#4948.0(-14.0)#6,817
50.5722335.059.0(-24.0)#5048.0(-13.0)#7,140
51.5738335.059.0(-24.0)#5148.0(-13.0)#7,152
52.5706936.059.0(-23.0)#5248.0(-12.0)#7,312
53.5773036.059.0(-23.0)#5348.0(-12.0)#7,363
54.5730137.059.0(-22.0)#5448.0(-11.0)#7,608
55.5700537.059.0(-22.0)#5548.0(-11.0)#7,660
56.5774737.059.0(-22.0)#5648.0(-11.0)#7,709
57.5771938.059.0(-21.0)#5748.0(-10.00)#7,962
58.5701338.059.0(-21.0)#5848.0(-10.00)#8,033
59.5723538.059.0(-21.0)#5948.0(-10.00)#8,118
60.5732839.059.0(-20.0)#6148.0(-9.00)#8,437
61.5727339.059.0(-20.0)#6248.0(-9.00)#8,438
62.5726240.059.0(-19.0)#6348.0(-8.00)#8,694
63.5743041.059.0(-18.0)#6448.0(-7.00)#9,093
64.5752341.059.0(-18.0)#6548.0(-7.00)#9,114
65.5703942.059.0(-17.0)#6648.0(-6.00)#9,388
66.5707742.059.0(-17.0)#6748.0(-6.00)#9,454
67.5724942.059.0(-17.0)#6848.0(-6.00)#9,469
68.5720143.059.0(-16.0)#6948.0(-5.00)#9,598
69.5775443.059.0(-16.0)#7048.0(-5.00)#9,730
70.5736243.059.0(-16.0)#7148.0(-5.00)#9,768
71.5702643.059.0(-16.0)#7248.0(-5.00)#9,777
72.5731243.059.0(-16.0)#7348.0(-5.00)#9,800
73.5764844.059.0(-15.0)#7448.0(-4.00)#10,108
74.5705345.059.0(-14.0)#7548.0(-3.00)#10,398
75.5722545.059.0(-14.0)#7648.0(-3.00)#10,405
76.5724845.059.0(-14.0)#7748.0(-3.00)#10,428
77.5771645.059.0(-14.0)#7848.0(-3.00)#10,456
78.5757946.059.0(-13.0)#7948.0(-2.00)#10,729
79.5731946.059.0(-13.0)#8048.0(-2.00)#10,741
80.5770247.059.0(-12.0)#8148.0(-1.000)#10,815
81.5711047.059.0(-12.0)#8248.0(-1.000)#10,872
82.5778547.059.0(-12.0)#8348.0(-1.000)#10,931
83.5701547.059.0(-12.0)#8448.0(-1.000)#11,046
84.5733450.059.0(-9.00)#8548.0(+2.00)#11,936
85.5702251.059.0(-8.00)#8648.0(+3.00)#12,147
86.5731351.059.0(-8.00)#8748.0(+3.00)#12,218
87.5727651.059.0(-8.00)#8848.0(+3.00)#12,225
88.5727452.059.0(-7.00)#8948.0(+4.00)#12,475
89.5721453.059.0(-6.00)#9048.0(+5.00)#12,800
90.5710554.059.0(-5.00)#9148.0(+6.00)#12,903
91.5746955.059.0(-4.00)#9248.0(+7.00)#13,319
92.5707255.059.0(-4.00)#9348.0(+7.00)#13,373
93.5705256.059.0(-3.00)#9448.0(+8.00)#13,635
94.5704957.059.0(-2.00)#9548.0(+9.00)#13,796
95.5779059.059.0(=0.000)#9648.0(+11.0)#14,342
96.5734859.059.0(=0.000)#9748.0(+11.0)#14,344
97.5723160.059.0(+1.000)#9848.0(+12.0)#14,541
98.5770162.059.0(+3.00)#9948.0(+14.0)#14,793
99.5710462.059.0(+3.00)#10048.0(+14.0)#14,848
100.5732562.059.0(+3.00)#10148.0(+14.0)#14,966

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Dakota?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Dakota are:
#1
4.0
#2
6.0
#3
6.0
#4
7.0
#5
9.0
#6
9.0
#7
10.0
#8
11.0
#9
13.0
#10
14.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in South Dakota?
57732 has the Lowest Births per 1,000 Women in Labor Force in South Dakota with 4.0.
What is the Number Births per 1,000 Women in Labor Force in the State of South Dakota?
Number Births per 1,000 Women in Labor Force in South Dakota is 59.0.
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.