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

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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
Mississippi
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1.386012.056.0(-54.0)#148.0(-46.0)#34
2.390593.056.0(-53.0)#248.0(-45.0)#49
3.391603.056.0(-53.0)#348.0(-45.0)#83
4.393584.056.0(-52.0)#448.0(-44.0)#165
5.391835.056.0(-51.0)#548.0(-43.0)#179
6.395405.056.0(-51.0)#648.0(-43.0)#180
7.395776.056.0(-50.0)#748.0(-42.0)#250
8.393306.056.0(-50.0)#848.0(-42.0)#278
9.388566.056.0(-50.0)#948.0(-42.0)#297
10.388737.056.0(-49.0)#1048.0(-41.0)#379
11.393327.056.0(-49.0)#1148.0(-41.0)#385
12.393637.056.0(-49.0)#1248.0(-41.0)#395
13.393278.056.0(-48.0)#1348.0(-40.0)#479
14.388418.056.0(-48.0)#1448.0(-40.0)#487
15.389219.056.0(-47.0)#1548.0(-39.0)#603
16.393389.056.0(-47.0)#1648.0(-39.0)#618
17.386589.056.0(-47.0)#1748.0(-39.0)#635
18.3936010.056.0(-46.0)#1848.0(-38.0)#767
19.3915310.056.0(-46.0)#1948.0(-38.0)#783
20.3945511.056.0(-45.0)#2048.0(-37.0)#873
21.3884911.056.0(-45.0)#2148.0(-37.0)#902
22.3868311.056.0(-45.0)#2248.0(-37.0)#927
23.3887811.056.0(-45.0)#2348.0(-37.0)#946
24.3860312.056.0(-44.0)#2448.0(-36.0)#1,108
25.3865912.056.0(-44.0)#2548.0(-36.0)#1,124
26.3906913.056.0(-43.0)#2648.0(-35.0)#1,261
27.3974713.056.0(-43.0)#2748.0(-35.0)#1,314
28.3875115.056.0(-41.0)#2848.0(-33.0)#1,592
29.3916615.056.0(-41.0)#2948.0(-33.0)#1,713
30.3866316.056.0(-40.0)#3048.0(-32.0)#1,784
31.3945916.056.0(-40.0)#3148.0(-32.0)#1,845
32.3936216.056.0(-40.0)#3248.0(-32.0)#1,853
33.3933716.056.0(-40.0)#3348.0(-32.0)#1,882
34.3909017.056.0(-39.0)#3448.0(-31.0)#1,973
35.3891517.056.0(-39.0)#3548.0(-31.0)#2,034
36.3917018.056.0(-38.0)#3648.0(-30.0)#2,195
37.3920218.056.0(-38.0)#3748.0(-30.0)#2,212
38.3946218.056.0(-38.0)#3848.0(-30.0)#2,296
39.3966719.056.0(-37.0)#3948.0(-29.0)#2,405
40.3885819.056.0(-37.0)#4048.0(-29.0)#2,435
41.3885519.056.0(-37.0)#4148.0(-29.0)#2,446
42.3891619.056.0(-37.0)#4248.0(-29.0)#2,454
43.3966319.056.0(-37.0)#4348.0(-29.0)#2,494
44.3914520.056.0(-36.0)#4448.0(-28.0)#2,685
45.3872521.056.0(-35.0)#4548.0(-27.0)#3,035
46.3947022.056.0(-34.0)#4648.0(-26.0)#3,152
47.3887123.056.0(-33.0)#4748.0(-25.0)#3,511
48.3957424.056.0(-32.0)#4848.0(-24.0)#3,673
49.3885224.056.0(-32.0)#4948.0(-24.0)#3,713
50.3867024.056.0(-32.0)#5048.0(-24.0)#3,839
51.3915725.056.0(-31.0)#5148.0(-23.0)#3,924
52.3873225.056.0(-31.0)#5248.0(-23.0)#3,958
53.3956225.056.0(-31.0)#5348.0(-23.0)#3,959
54.3958125.056.0(-31.0)#5448.0(-23.0)#3,985
55.3911425.056.0(-31.0)#5548.0(-23.0)#4,002
56.3906625.056.0(-31.0)#5648.0(-23.0)#4,043
57.3943726.056.0(-30.0)#5748.0(-22.0)#4,256
58.3896526.056.0(-30.0)#5848.0(-22.0)#4,276
59.3909526.056.0(-30.0)#5948.0(-22.0)#4,295
60.3877126.056.0(-30.0)#6048.0(-22.0)#4,361
61.3894127.056.0(-29.0)#6148.0(-21.0)#4,651
62.3974627.056.0(-29.0)#6248.0(-21.0)#4,659
63.3904628.056.0(-28.0)#6348.0(-20.0)#4,793
64.3973928.056.0(-28.0)#6448.0(-20.0)#4,971
65.3946429.056.0(-27.0)#6548.0(-19.0)#5,217
66.3863730.056.0(-26.0)#6648.0(-18.0)#5,395
67.3936530.056.0(-26.0)#6748.0(-18.0)#5,482
68.3886030.056.0(-26.0)#6848.0(-18.0)#5,500
69.3865431.056.0(-25.0)#6948.0(-17.0)#5,607
70.3870131.056.0(-25.0)#7048.0(-17.0)#5,705
71.3861931.056.0(-25.0)#7148.0(-17.0)#5,794
72.3883432.056.0(-24.0)#7248.0(-16.0)#5,981
73.3904532.056.0(-24.0)#7348.0(-16.0)#6,189
74.3921833.056.0(-23.0)#7448.0(-15.0)#6,426
75.3976633.056.0(-23.0)#7548.0(-15.0)#6,474
76.3915435.056.0(-21.0)#7648.0(-13.0)#7,027
77.3955635.056.0(-21.0)#7748.0(-13.0)#7,037
78.3868035.056.0(-21.0)#7848.0(-13.0)#7,051
79.3880136.056.0(-20.0)#7948.0(-12.0)#7,233
80.3970136.056.0(-20.0)#8048.0(-12.0)#7,314
81.3876236.056.0(-20.0)#8148.0(-12.0)#7,406
82.3863136.056.0(-20.0)#8248.0(-12.0)#7,431
83.3880437.056.0(-19.0)#8348.0(-11.0)#7,621
84.3974337.056.0(-19.0)#8448.0(-11.0)#7,762
85.3886239.056.0(-17.0)#8548.0(-9.00)#8,401
86.3862739.056.0(-17.0)#8648.0(-9.00)#8,428
87.3861739.056.0(-17.0)#8748.0(-9.00)#8,449
88.3946540.056.0(-16.0)#8848.0(-8.00)#8,574
89.3908340.056.0(-16.0)#8948.0(-8.00)#8,668
90.3864340.056.0(-16.0)#9048.0(-8.00)#8,768
91.3872040.056.0(-16.0)#9148.0(-8.00)#8,793
92.3865541.056.0(-15.0)#9248.0(-7.00)#8,837
93.3921141.056.0(-15.0)#9348.0(-7.00)#8,932
94.3920641.056.0(-15.0)#9448.0(-7.00)#8,936
95.3964341.056.0(-15.0)#9548.0(-7.00)#9,103
96.3882142.056.0(-14.0)#9648.0(-6.00)#9,316
97.3957642.056.0(-14.0)#9748.0(-6.00)#9,358
98.3965243.056.0(-13.0)#9848.0(-5.00)#9,684
99.3973643.056.0(-13.0)#9948.0(-5.00)#9,812
100.3930144.056.0(-12.0)#10048.0(-4.00)#9,938

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi are:
#1
2.0
#2
3.0
#3
3.0
#4
4.0
#5
5.0
#6
5.0
#7
6.0
#8
6.0
#9
6.0
#10
7.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Mississippi?
38601 has the Lowest Births per 1,000 Women in Labor Force in Mississippi with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Mississippi?
Number Births per 1,000 Women in Labor Force in Mississippi is 56.0.
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.