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

RELATED REPORTS & OPTIONS

Highest 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 Most Births per 1,000 Women Below Poverty Level in Mississippi

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi Map

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

Zip Code Births / 1,000 Women vs State vs National
1.391771,000.057.0(+943)#153.0(+947)#47
2.39352692.057.0(+635)#253.0(+639)#93
3.38759410.057.0(+353)#353.0(+357)#251
4.39067348.057.0(+291)#453.0(+295)#345
5.39561343.057.0(+286)#553.0(+290)#350
6.38764316.057.0(+259)#653.0(+263)#407
7.38940314.057.0(+257)#753.0(+261)#414
8.38736292.057.0(+235)#853.0(+239)#478
9.38647286.057.0(+229)#953.0(+233)#498
10.39328259.057.0(+202)#1053.0(+206)#611
11.38944231.057.0(+174)#1153.0(+178)#767
12.38625221.057.0(+164)#1253.0(+168)#832
13.38760217.057.0(+160)#1353.0(+164)#852
14.39345201.057.0(+144)#1453.0(+148)#965
15.39771188.057.0(+131)#1553.0(+135)#1,129
16.38948181.057.0(+124)#1653.0(+128)#1,204
17.39176176.057.0(+119)#1753.0(+123)#1,261
18.39662176.057.0(+119)#1853.0(+123)#1,266
19.38920174.057.0(+117)#1953.0(+121)#1,306
20.39054169.057.0(+112)#2053.0(+116)#1,391
21.38673167.057.0(+110)#2153.0(+114)#1,422
22.39638162.057.0(+105)#2253.0(+109)#1,514
23.38761147.057.0(+90.0)#2353.0(+94.0)#1,813
24.39630146.057.0(+89.0)#2453.0(+93.0)#1,841
25.38847143.057.0(+86.0)#2553.0(+90.0)#1,912
26.38967136.057.0(+79.0)#2653.0(+83.0)#2,112
27.39323135.057.0(+78.0)#2753.0(+82.0)#2,162
28.39346132.057.0(+75.0)#2853.0(+79.0)#2,264
29.38753132.057.0(+75.0)#2953.0(+79.0)#2,268
30.39483131.057.0(+74.0)#3053.0(+78.0)#2,287
31.38676131.057.0(+74.0)#3153.0(+78.0)#2,288
32.39322131.057.0(+74.0)#3253.0(+78.0)#2,296
33.38730128.057.0(+71.0)#3353.0(+75.0)#2,406
34.39744125.057.0(+68.0)#3453.0(+72.0)#2,513
35.39452123.057.0(+66.0)#3553.0(+70.0)#2,599
36.39427123.057.0(+66.0)#3653.0(+70.0)#2,622
37.39755121.057.0(+64.0)#3753.0(+68.0)#2,725
38.38868119.057.0(+62.0)#3853.0(+66.0)#2,772
39.39146118.057.0(+61.0)#3953.0(+65.0)#2,821
40.38737118.057.0(+61.0)#4053.0(+65.0)#2,822
41.39461117.057.0(+60.0)#4153.0(+64.0)#2,906
42.39531113.057.0(+56.0)#4253.0(+60.0)#3,071
43.39335111.057.0(+54.0)#4353.0(+58.0)#3,205
44.39735110.057.0(+53.0)#4453.0(+57.0)#3,274
45.38778109.057.0(+52.0)#4553.0(+56.0)#3,335
46.39367108.057.0(+51.0)#4653.0(+55.0)#3,369
47.39044107.057.0(+50.0)#4753.0(+54.0)#3,455
48.39648106.057.0(+49.0)#4853.0(+53.0)#3,508
49.39520106.057.0(+49.0)#4953.0(+53.0)#3,514
50.39451106.057.0(+49.0)#5053.0(+53.0)#3,519
51.39740106.057.0(+49.0)#5153.0(+53.0)#3,523
52.39769106.057.0(+49.0)#5253.0(+53.0)#3,546
53.38606105.057.0(+48.0)#5353.0(+52.0)#3,573
54.39204104.057.0(+47.0)#5453.0(+51.0)#3,644
55.39336102.057.0(+45.0)#5553.0(+49.0)#3,848
56.39216101.057.0(+44.0)#5653.0(+48.0)#3,889
57.3930599.057.0(+42.0)#5753.0(+46.0)#4,024
58.3947099.057.0(+42.0)#5853.0(+46.0)#4,031
59.3904099.057.0(+42.0)#5953.0(+46.0)#4,052
60.3963398.057.0(+41.0)#6053.0(+45.0)#4,164
61.3920997.057.0(+40.0)#6153.0(+44.0)#4,192
62.3916996.057.0(+39.0)#6253.0(+43.0)#4,336
63.3920395.057.0(+38.0)#6353.0(+42.0)#4,411
64.3905795.057.0(+38.0)#6453.0(+42.0)#4,434
65.3934194.057.0(+37.0)#6553.0(+41.0)#4,513
66.3875694.057.0(+37.0)#6653.0(+41.0)#4,514
67.3877494.057.0(+37.0)#6753.0(+41.0)#4,537
68.3891494.057.0(+37.0)#6853.0(+41.0)#4,549
69.3905693.057.0(+36.0)#6953.0(+40.0)#4,567
70.3863593.057.0(+36.0)#7053.0(+40.0)#4,577
71.3909293.057.0(+36.0)#7153.0(+40.0)#4,601
72.3975093.057.0(+36.0)#7253.0(+40.0)#4,602
73.3860393.057.0(+36.0)#7353.0(+40.0)#4,605
74.3865192.057.0(+35.0)#7453.0(+39.0)#4,673
75.3862192.057.0(+35.0)#7553.0(+39.0)#4,712
76.3918991.057.0(+34.0)#7653.0(+38.0)#4,793
77.3970590.057.0(+33.0)#7753.0(+37.0)#4,884
78.3973090.057.0(+33.0)#7853.0(+37.0)#4,887
79.3911189.057.0(+32.0)#7953.0(+36.0)#4,988
80.3947488.057.0(+31.0)#8053.0(+35.0)#5,099
81.3935087.057.0(+30.0)#8153.0(+34.0)#5,196
82.3942887.057.0(+30.0)#8253.0(+34.0)#5,221
83.3921386.057.0(+29.0)#8353.0(+33.0)#5,320
84.3933986.057.0(+29.0)#8453.0(+33.0)#5,332
85.3944085.057.0(+28.0)#8553.0(+32.0)#5,440
86.3910885.057.0(+28.0)#8653.0(+32.0)#5,523
87.3932583.057.0(+26.0)#8753.0(+30.0)#5,736
88.3943983.057.0(+26.0)#8853.0(+30.0)#5,745
89.3878183.057.0(+26.0)#8953.0(+30.0)#5,819
90.3960182.057.0(+25.0)#9053.0(+29.0)#5,843
91.3882982.057.0(+25.0)#9153.0(+29.0)#5,852
92.3867181.057.0(+24.0)#9253.0(+28.0)#5,983
93.3887081.057.0(+24.0)#9353.0(+28.0)#6,078
94.3895481.057.0(+24.0)#9453.0(+28.0)#6,110
95.3876980.057.0(+23.0)#9553.0(+27.0)#6,243
96.3966580.057.0(+23.0)#9653.0(+27.0)#6,254
97.3930779.057.0(+22.0)#9753.0(+26.0)#6,342
98.3890178.057.0(+21.0)#9853.0(+25.0)#6,491
99.3864677.057.0(+20.0)#9953.0(+24.0)#6,713
100.3865276.057.0(+19.0)#10053.0(+23.0)#6,838

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi are:
#1
1,000.0
#2
692.0
#3
410.0
#4
348.0
#5
343.0
#6
316.0
#7
314.0
#8
292.0
#9
286.0
#10
259.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Mississippi?
39177 has the Most Births per 1,000 Women Below Poverty Level in Mississippi with 1,000.0.
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.