Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota

RELATED REPORTS & OPTIONS

Highest Poverty | Female 25-34
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
North Dakota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota

Zip Code Female Poverty vs State vs National
1.58439100.0%10.7%(+89.3)#114.5%(+85.5)#308
2.58794100.0%10.7%(+89.3)#214.5%(+85.5)#335
3.58238100.0%10.7%(+89.3)#314.5%(+85.5)#418
4.5835790.5%10.7%(+79.8)#414.5%(+76.0)#508
5.5821690.0%10.7%(+79.3)#514.5%(+75.5)#514
6.5832981.0%10.7%(+70.2)#614.5%(+66.5)#599
7.5800771.4%10.7%(+60.7)#714.5%(+56.9)#765
8.5852869.7%10.7%(+59.0)#814.5%(+55.2)#799
9.5838466.7%10.7%(+55.9)#914.5%(+52.2)#890
10.5853365.5%10.7%(+54.8)#1014.5%(+51.0)#921
11.5842963.2%10.7%(+52.4)#1114.5%(+48.7)#991
12.5846162.5%10.7%(+51.8)#1214.5%(+48.0)#1,013
13.5846462.5%10.7%(+51.8)#1314.5%(+48.0)#1,021
14.5885356.7%10.7%(+45.9)#1414.5%(+42.2)#1,257
15.5806155.6%10.7%(+44.8)#1514.5%(+41.1)#1,306
16.5876550.0%10.7%(+39.3)#1614.5%(+35.5)#1,664
17.5876050.0%10.7%(+39.3)#1714.5%(+35.5)#1,676
18.5864350.0%10.7%(+39.3)#1814.5%(+35.5)#1,695
19.5831150.0%10.7%(+39.3)#1914.5%(+35.5)#1,700
20.5853848.8%10.7%(+38.1)#2014.5%(+34.3)#1,761
21.5834148.8%10.7%(+38.0)#2114.5%(+34.3)#1,765
22.5873647.6%10.7%(+36.9)#2214.5%(+33.1)#1,855
23.5858144.4%10.7%(+33.7)#2314.5%(+30.0)#2,178
24.5832442.9%10.7%(+32.1)#2414.5%(+28.4)#2,326
25.5837941.7%10.7%(+30.9)#2514.5%(+27.2)#2,484
26.5803140.0%10.7%(+29.3)#2614.5%(+25.5)#2,707
27.5805439.7%10.7%(+29.0)#2714.5%(+25.2)#2,748
28.5806438.7%10.7%(+28.0)#2814.5%(+24.2)#2,886
29.5826137.7%10.7%(+27.0)#2914.5%(+23.2)#3,044
30.5878836.4%10.7%(+25.6)#3014.5%(+21.9)#3,279
31.5878935.7%10.7%(+25.0)#3114.5%(+21.2)#3,423
32.5837035.5%10.7%(+24.8)#3214.5%(+21.0)#3,456
33.5836734.8%10.7%(+24.1)#3314.5%(+20.3)#3,592
34.5841834.2%10.7%(+23.5)#3414.5%(+19.7)#3,702
35.5842531.2%10.7%(+20.5)#3514.5%(+16.8)#4,378
36.5841331.1%10.7%(+20.4)#3614.5%(+16.7)#4,414
37.5825730.0%10.7%(+19.3)#3714.5%(+15.5)#4,683
38.5852930.0%10.7%(+19.3)#3814.5%(+15.5)#4,693
39.5844230.0%10.7%(+19.3)#3914.5%(+15.5)#4,697
40.5844830.0%10.7%(+19.3)#4014.5%(+15.5)#4,703
41.5877029.5%10.7%(+18.8)#4114.5%(+15.0)#4,863
42.5876328.0%10.7%(+17.2)#4214.5%(+13.5)#5,348
43.5836827.4%10.7%(+16.7)#4314.5%(+12.9)#5,541
44.5857527.3%10.7%(+16.6)#4414.5%(+12.8)#5,594
45.5849527.0%10.7%(+16.3)#4514.5%(+12.5)#5,705
46.5877526.1%10.7%(+15.4)#4614.5%(+11.6)#5,989
47.5864525.0%10.7%(+14.3)#4714.5%(+10.5)#6,440
48.5802723.6%10.7%(+12.9)#4814.5%(+9.12)#6,974
49.5843823.3%10.7%(+12.6)#4914.5%(+8.84)#7,101
50.5833522.6%10.7%(+11.9)#5014.5%(+8.09)#7,417
51.5825822.2%10.7%(+11.5)#5114.5%(+7.73)#7,618
52.5854522.1%10.7%(+11.4)#5214.5%(+7.59)#7,682
53.5862322.1%10.7%(+11.4)#5314.5%(+7.58)#7,685
54.5804821.4%10.7%(+10.7)#5414.5%(+6.93)#7,986
55.5865321.1%10.7%(+10.3)#5514.5%(+6.56)#8,181
56.5865021.1%10.7%(+10.3)#5614.5%(+6.56)#8,191
57.5807120.7%10.7%(+9.97)#5714.5%(+6.20)#8,380
58.5846720.6%10.7%(+9.87)#5814.5%(+6.09)#8,438
59.5857720.2%10.7%(+9.45)#5914.5%(+5.67)#8,647
60.5842420.0%10.7%(+9.28)#6014.5%(+5.51)#8,789
61.5827220.0%10.7%(+9.28)#6114.5%(+5.51)#8,800
62.5863819.6%10.7%(+8.84)#6214.5%(+5.07)#9,016
63.5828219.4%10.7%(+8.63)#6314.5%(+4.86)#9,151
64.5853019.0%10.7%(+8.24)#6414.5%(+4.47)#9,395
65.5820318.6%10.7%(+7.87)#6514.5%(+4.10)#9,606
66.5863018.5%10.7%(+7.80)#6614.5%(+4.02)#9,666
67.5810218.4%10.7%(+7.63)#6714.5%(+3.86)#9,752
68.5810318.0%10.7%(+7.24)#6814.5%(+3.47)#10,019
69.5825417.4%10.7%(+6.67)#6914.5%(+2.90)#10,359
70.5852316.7%10.7%(+5.95)#7014.5%(+2.17)#10,812
71.5821016.7%10.7%(+5.95)#7114.5%(+2.17)#10,869
72.5843316.2%10.7%(+5.49)#7214.5%(+1.72)#11,176
73.5862216.0%10.7%(+5.28)#7314.5%(+1.51)#11,319
74.5836615.3%10.7%(+4.56)#7414.5%(+0.784)#11,797
75.5870115.2%10.7%(+4.46)#7514.5%(+0.685)#11,866
76.5857015.0%10.7%(+4.28)#7614.5%(+0.506)#12,011
77.5807915.0%10.7%(+4.28)#7714.5%(+0.506)#12,012
78.5824314.3%10.7%(+3.56)#7814.5%(-0.208)#12,512
79.5837414.3%10.7%(+3.56)#7914.5%(-0.208)#12,513
80.5849014.3%10.7%(+3.56)#8014.5%(-0.208)#12,527
81.5804314.3%10.7%(+3.56)#8114.5%(-0.208)#12,535
82.5850113.9%10.7%(+3.21)#8214.5%(-0.560)#12,775
83.5805313.6%10.7%(+2.91)#8314.5%(-0.857)#12,976
84.5822213.3%10.7%(+2.61)#8414.5%(-1.16)#13,264
85.5824913.1%10.7%(+2.36)#8514.5%(-1.41)#13,433
86.5827113.0%10.7%(+2.32)#8614.5%(-1.45)#13,479
87.5874112.8%10.7%(+2.10)#8714.5%(-1.67)#13,638
88.5845612.5%10.7%(+1.78)#8814.5%(-1.99)#13,897
89.5856012.5%10.7%(+1.78)#8914.5%(-1.99)#13,911
90.5848212.0%10.7%(+1.28)#9014.5%(-2.49)#14,266
91.5820111.7%10.7%(+0.966)#9114.5%(-2.81)#14,527
92.5860111.4%10.7%(+0.691)#9214.5%(-3.08)#14,746
93.5846611.1%10.7%(+0.390)#9314.5%(-3.38)#15,040
94.5830111.1%10.7%(+0.335)#9414.5%(-3.44)#15,085
95.5827610.7%10.7%(-0.007)#9514.5%(-3.78)#15,388
96.5801510.5%10.7%(-0.195)#9614.5%(-3.97)#15,557
97.5803010.2%10.7%(-0.517)#9714.5%(-4.29)#15,824
98.5831610.1%10.7%(-0.654)#9814.5%(-4.43)#15,921
99.5871610.0%10.7%(-0.722)#9914.5%(-4.49)#16,017
100.5801610.0%10.7%(-0.722)#10014.5%(-4.49)#16,026

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
90.5%
#5
90.0%
#6
81.0%
#7
71.4%
#8
69.7%
#9
66.7%
#10
65.5%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota?
58439 has the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the State of North Dakota?
Poverty Level Among Females Between Ages 25 and 34 in North Dakota is 10.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.