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

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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
Virginia
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Virginia

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800.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Virginia Map

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

Zip Code Births / 1,000 Women vs State vs National
1.22731756.050.0(+706)#153.0(+703)#76
2.22535432.050.0(+382)#253.0(+379)#228
3.24539393.050.0(+343)#353.0(+340)#268
4.22663387.050.0(+337)#453.0(+334)#276
5.23938385.050.0(+335)#553.0(+332)#279
6.23401364.050.0(+314)#653.0(+311)#316
7.24377362.050.0(+312)#753.0(+309)#321
8.20143343.050.0(+293)#853.0(+290)#351
9.24565342.050.0(+292)#953.0(+289)#353
10.22726337.050.0(+287)#1053.0(+284)#361
11.23423310.050.0(+260)#1153.0(+257)#425
12.24067296.050.0(+246)#1253.0(+243)#465
13.23830284.050.0(+234)#1353.0(+231)#511
14.23962277.050.0(+227)#1453.0(+224)#541
15.24132277.050.0(+227)#1553.0(+224)#542
16.24465276.050.0(+226)#1653.0(+223)#544
17.20130268.050.0(+218)#1753.0(+215)#574
18.24237259.050.0(+209)#1853.0(+206)#612
19.24077250.050.0(+200)#1953.0(+197)#645
20.24605246.050.0(+196)#2053.0(+193)#684
21.23027237.050.0(+187)#2153.0(+184)#732
22.23899233.050.0(+183)#2253.0(+180)#752
23.24528228.050.0(+178)#2353.0(+175)#783
24.22959227.050.0(+177)#2453.0(+174)#787
25.23106226.050.0(+176)#2553.0(+173)#797
26.22469217.050.0(+167)#2653.0(+164)#851
27.24347215.050.0(+165)#2753.0(+162)#861
28.24161209.050.0(+159)#2853.0(+156)#894
29.24149207.050.0(+157)#2953.0(+154)#907
30.23180207.050.0(+157)#3053.0(+154)#910
31.23354203.050.0(+153)#3153.0(+150)#955
32.23418197.050.0(+147)#3253.0(+144)#1,019
33.23084189.050.0(+139)#3353.0(+136)#1,109
34.23960188.050.0(+138)#3453.0(+135)#1,118
35.23879187.050.0(+137)#3553.0(+134)#1,137
36.22846186.050.0(+136)#3653.0(+133)#1,147
37.22427185.050.0(+135)#3753.0(+132)#1,159
38.22958185.050.0(+135)#3853.0(+132)#1,160
39.24517179.050.0(+129)#3953.0(+126)#1,223
40.22967175.050.0(+125)#4053.0(+122)#1,278
41.23156162.050.0(+112)#4153.0(+109)#1,523
42.24484154.050.0(+104)#4253.0(+101)#1,668
43.23337153.050.0(+103)#4353.0(+100.0)#1,689
44.22567148.050.0(+98.0)#4453.0(+95.0)#1,787
45.22715148.050.0(+98.0)#4553.0(+95.0)#1,790
46.22624147.050.0(+97.0)#4653.0(+94.0)#1,807
47.23356144.050.0(+94.0)#4753.0(+91.0)#1,893
48.24137143.050.0(+93.0)#4853.0(+90.0)#1,914
49.23917142.050.0(+92.0)#4953.0(+89.0)#1,947
50.24614139.050.0(+89.0)#5053.0(+86.0)#2,015
51.23063138.050.0(+88.0)#5153.0(+85.0)#2,048
52.22738138.050.0(+88.0)#5253.0(+85.0)#2,067
53.22448138.050.0(+88.0)#5353.0(+85.0)#2,071
54.23119138.050.0(+88.0)#5453.0(+85.0)#2,080
55.24251137.050.0(+87.0)#5553.0(+84.0)#2,082
56.24220136.050.0(+86.0)#5653.0(+83.0)#2,133
57.22025133.050.0(+83.0)#5753.0(+80.0)#2,211
58.24258131.050.0(+81.0)#5853.0(+78.0)#2,298
59.22735130.050.0(+80.0)#5953.0(+77.0)#2,318
60.23883130.050.0(+80.0)#6053.0(+77.0)#2,321
61.24070130.050.0(+80.0)#6153.0(+77.0)#2,324
62.24352130.050.0(+80.0)#6253.0(+77.0)#2,326
63.23421128.050.0(+78.0)#6353.0(+75.0)#2,400
64.22935123.050.0(+73.0)#6453.0(+70.0)#2,634
65.22971121.050.0(+71.0)#6553.0(+68.0)#2,710
66.22949120.050.0(+70.0)#6653.0(+67.0)#2,751
67.22742119.050.0(+69.0)#6753.0(+66.0)#2,783
68.22709118.050.0(+68.0)#6853.0(+65.0)#2,841
69.23885116.050.0(+66.0)#6953.0(+63.0)#2,929
70.24609115.050.0(+65.0)#7053.0(+62.0)#2,971
71.23919115.050.0(+65.0)#7153.0(+62.0)#2,984
72.22134114.050.0(+64.0)#7253.0(+61.0)#3,029
73.24219112.050.0(+62.0)#7353.0(+59.0)#3,126
74.23665112.050.0(+62.0)#7453.0(+59.0)#3,132
75.20197112.050.0(+62.0)#7553.0(+59.0)#3,148
76.24580112.050.0(+62.0)#7653.0(+59.0)#3,175
77.24504110.050.0(+60.0)#7753.0(+57.0)#3,254
78.23075110.050.0(+60.0)#7853.0(+57.0)#3,259
79.24243109.050.0(+59.0)#7953.0(+56.0)#3,334
80.23801107.050.0(+57.0)#8053.0(+54.0)#3,434
81.23604107.050.0(+57.0)#8153.0(+54.0)#3,444
82.24171105.050.0(+55.0)#8253.0(+52.0)#3,583
83.22644105.050.0(+55.0)#8353.0(+52.0)#3,600
84.23308105.050.0(+55.0)#8453.0(+52.0)#3,609
85.24566105.050.0(+55.0)#8553.0(+52.0)#3,614
86.24588104.050.0(+54.0)#8653.0(+51.0)#3,646
87.24482104.050.0(+54.0)#8753.0(+51.0)#3,658
88.22443103.050.0(+53.0)#8853.0(+50.0)#3,710
89.23181103.050.0(+53.0)#8953.0(+50.0)#3,724
90.23433103.050.0(+53.0)#9053.0(+50.0)#3,762
91.24290102.050.0(+52.0)#9153.0(+49.0)#3,828
92.23942102.050.0(+52.0)#9253.0(+49.0)#3,845
93.23504101.050.0(+51.0)#9353.0(+48.0)#3,868
94.24483101.050.0(+51.0)#9453.0(+48.0)#3,906
95.24054100.050.0(+50.0)#9553.0(+47.0)#3,941
96.24228100.050.0(+50.0)#9653.0(+47.0)#3,942
97.22713100.050.0(+50.0)#9753.0(+47.0)#3,973
98.2369299.050.0(+49.0)#9853.0(+46.0)#4,025
99.2443199.050.0(+49.0)#9953.0(+46.0)#4,059
100.2204198.050.0(+48.0)#10053.0(+45.0)#4,101

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Virginia?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Virginia are:
#1
756.0
#2
432.0
#3
393.0
#4
387.0
#5
385.0
#6
364.0
#7
362.0
#8
343.0
#9
342.0
#10
337.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Virginia?
22731 has the Most Births per 1,000 Women Below Poverty Level in Virginia with 756.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Virginia?
Number of Births per 1,000 Women Below Poverty Level in Virginia is 50.0.
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.