Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi

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Lowest Birth Rate | Below Poverty
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 Fewest Births per 1,000 Women Below Poverty Level in Mississippi

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi

Zip Code Births / 1,000 Women vs State vs National
1.388281.057.0(-56.0)#153.0(-52.0)#6
2.390592.057.0(-55.0)#253.0(-51.0)#14
3.391602.057.0(-55.0)#353.0(-51.0)#31
4.396532.057.0(-55.0)#453.0(-51.0)#34
5.386012.057.0(-55.0)#553.0(-51.0)#36
6.388563.057.0(-54.0)#653.0(-50.0)#79
7.393384.057.0(-53.0)#753.0(-49.0)#110
8.389224.057.0(-53.0)#853.0(-49.0)#112
9.391535.057.0(-52.0)#953.0(-48.0)#174
10.393425.057.0(-52.0)#1053.0(-48.0)#178
11.393325.057.0(-52.0)#1153.0(-48.0)#181
12.393585.057.0(-52.0)#1253.0(-48.0)#193
13.393276.057.0(-51.0)#1353.0(-47.0)#228
14.393606.057.0(-51.0)#1453.0(-47.0)#234
15.386596.057.0(-51.0)#1553.0(-47.0)#251
16.390697.057.0(-50.0)#1653.0(-46.0)#296
17.386337.057.0(-50.0)#1753.0(-46.0)#320
18.386617.057.0(-50.0)#1853.0(-46.0)#330
19.391198.057.0(-49.0)#1953.0(-45.0)#379
20.386838.057.0(-49.0)#2053.0(-45.0)#392
21.391168.057.0(-49.0)#2153.0(-45.0)#405
22.386588.057.0(-49.0)#2253.0(-45.0)#410
23.391839.057.0(-48.0)#2353.0(-44.0)#466
24.393629.057.0(-48.0)#2453.0(-44.0)#507
25.3966711.057.0(-46.0)#2553.0(-42.0)#722
26.3887811.057.0(-46.0)#2653.0(-42.0)#774
27.3887611.057.0(-46.0)#2753.0(-42.0)#801
28.3875112.057.0(-45.0)#2853.0(-41.0)#860
29.3917013.057.0(-44.0)#2953.0(-40.0)#1,007
30.3884914.057.0(-43.0)#3053.0(-39.0)#1,180
31.3906614.057.0(-43.0)#3153.0(-39.0)#1,185
32.3892115.057.0(-42.0)#3253.0(-38.0)#1,356
33.3891515.057.0(-42.0)#3353.0(-38.0)#1,369
34.3915915.057.0(-42.0)#3453.0(-38.0)#1,376
35.3885516.057.0(-41.0)#3553.0(-37.0)#1,536
36.3974716.057.0(-41.0)#3653.0(-37.0)#1,600
37.3872516.057.0(-41.0)#3753.0(-37.0)#1,613
38.3894117.057.0(-40.0)#3853.0(-36.0)#1,738
39.3974617.057.0(-40.0)#3953.0(-36.0)#1,747
40.3908617.057.0(-40.0)#4053.0(-36.0)#1,771
41.3916618.057.0(-39.0)#4153.0(-35.0)#1,980
42.3865019.057.0(-38.0)#4253.0(-34.0)#2,095
43.3964320.057.0(-37.0)#4353.0(-33.0)#2,369
44.3861720.057.0(-37.0)#4453.0(-33.0)#2,391
45.3896521.057.0(-36.0)#4553.0(-32.0)#2,498
46.3877121.057.0(-36.0)#4653.0(-32.0)#2,574
47.3936621.057.0(-36.0)#4753.0(-32.0)#2,620
48.3957722.057.0(-35.0)#4853.0(-31.0)#2,718
49.3921822.057.0(-35.0)#4953.0(-31.0)#2,743
50.3909522.057.0(-35.0)#5053.0(-31.0)#2,750
51.3884122.057.0(-35.0)#5153.0(-31.0)#2,778
52.3876222.057.0(-35.0)#5253.0(-31.0)#2,799
53.3958123.057.0(-34.0)#5353.0(-30.0)#2,975
54.3866423.057.0(-34.0)#5453.0(-30.0)#3,054
55.3933023.057.0(-34.0)#5553.0(-30.0)#3,060
56.3883323.057.0(-34.0)#5653.0(-30.0)#3,074
57.3904624.057.0(-33.0)#5753.0(-29.0)#3,167
58.3943724.057.0(-33.0)#5853.0(-29.0)#3,215
59.3920224.057.0(-33.0)#5953.0(-29.0)#3,249
60.3914524.057.0(-33.0)#6053.0(-29.0)#3,261
61.3936324.057.0(-33.0)#6153.0(-29.0)#3,348
62.3867024.057.0(-33.0)#6253.0(-29.0)#3,358
63.3915725.057.0(-32.0)#6353.0(-28.0)#3,439
64.3866325.057.0(-32.0)#6453.0(-28.0)#3,491
65.3886525.057.0(-32.0)#6553.0(-28.0)#3,545
66.3956226.057.0(-31.0)#6653.0(-27.0)#3,732
67.3903926.057.0(-31.0)#6753.0(-27.0)#3,843
68.3974326.057.0(-31.0)#6853.0(-27.0)#3,849
69.3870127.057.0(-30.0)#6953.0(-26.0)#3,974
70.3873227.057.0(-30.0)#7053.0(-26.0)#3,987
71.3884627.057.0(-30.0)#7153.0(-26.0)#4,117
72.3973627.057.0(-30.0)#7253.0(-26.0)#4,182
73.3915028.057.0(-29.0)#7353.0(-25.0)#4,330
74.3977228.057.0(-29.0)#7453.0(-25.0)#4,377
75.3948128.057.0(-29.0)#7553.0(-25.0)#4,391
76.3947629.057.0(-28.0)#7653.0(-24.0)#4,582
77.3885829.057.0(-28.0)#7753.0(-24.0)#4,585
78.3917529.057.0(-28.0)#7853.0(-24.0)#4,613
79.3891730.057.0(-27.0)#7953.0(-23.0)#4,896
80.3946430.057.0(-27.0)#8053.0(-23.0)#4,904
81.3966330.057.0(-27.0)#8153.0(-23.0)#4,935
82.3909031.057.0(-26.0)#8253.0(-22.0)#5,134
83.3882131.057.0(-26.0)#8353.0(-22.0)#5,137
84.3887331.057.0(-26.0)#8453.0(-22.0)#5,232
85.3933731.057.0(-26.0)#8553.0(-22.0)#5,258
86.3862731.057.0(-26.0)#8653.0(-22.0)#5,264
87.3896332.057.0(-25.0)#8753.0(-21.0)#5,505
88.3957133.057.0(-24.0)#8853.0(-20.0)#5,722
89.3908333.057.0(-24.0)#8953.0(-20.0)#5,765
90.3861933.057.0(-24.0)#9053.0(-20.0)#5,798
91.3891633.057.0(-24.0)#9153.0(-20.0)#5,819
92.3977633.057.0(-24.0)#9253.0(-20.0)#5,875
93.3919434.057.0(-23.0)#9353.0(-19.0)#6,006
94.3886034.057.0(-23.0)#9453.0(-19.0)#6,102
95.3903834.057.0(-23.0)#9553.0(-19.0)#6,107
96.3862234.057.0(-23.0)#9653.0(-19.0)#6,214
97.3892535.057.0(-22.0)#9753.0(-18.0)#6,489
98.3907935.057.0(-22.0)#9853.0(-18.0)#6,494
99.3920636.057.0(-21.0)#9953.0(-17.0)#6,638
100.3935536.057.0(-21.0)#10053.0(-17.0)#6,762

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi are:
#1
1.0
#2
2.0
#3
2.0
#4
2.0
#5
2.0
#6
3.0
#7
4.0
#8
4.0
#9
5.0
#10
5.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Mississippi?
38828 has the Fewest Births per 1,000 Women Below Poverty Level in Mississippi with 1.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Mississippi?
Number of Births per 1,000 Women Below Poverty Level in Mississippi is 57.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.