Zip Codes with the Highest Unemployment Rate Among Females in North Dakota

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Highest Unemployment | Female
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
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Physical Characteristics
North Dakota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Unemployment Rate Among Females in North Dakota

0.0%
50.0%
Zip Codes with the Highest Unemployment Rate Among Females in North Dakota Map

Zip Codes with the Highest Unemployment Rate Among Females in North Dakota

Zip Code Female Unemployment vs State vs National
1.5824441.7%2.5%(+39.2)#14.9%(+36.8)#206
2.5870738.2%2.5%(+35.7)#24.9%(+33.3)#249
3.5862037.5%2.5%(+35.0)#34.9%(+32.6)#263
4.5852828.2%2.5%(+25.7)#44.9%(+23.3)#453
5.5853822.0%2.5%(+19.5)#54.9%(+17.1)#726
6.5810521.5%2.5%(+19.0)#64.9%(+16.6)#756
7.5826220.0%2.5%(+17.5)#74.9%(+15.1)#876
8.5802918.2%2.5%(+15.7)#84.9%(+13.3)#1,046
9.5856816.4%2.5%(+13.9)#94.9%(+11.5)#1,291
10.5878314.4%2.5%(+11.9)#104.9%(+9.50)#1,652
11.5862714.3%2.5%(+11.8)#114.9%(+9.40)#1,677
12.5806413.6%2.5%(+11.1)#124.9%(+8.70)#1,843
13.5801712.5%2.5%(+10.00)#134.9%(+7.60)#2,209
14.5834312.5%2.5%(+10.00)#144.9%(+7.60)#2,214
15.5836712.0%2.5%(+9.50)#154.9%(+7.10)#2,352
16.5849212.0%2.5%(+9.50)#164.9%(+7.10)#2,364
17.5821011.1%2.5%(+8.60)#174.9%(+6.20)#2,748
18.5846411.1%2.5%(+8.60)#184.9%(+6.20)#2,749
19.5874410.0%2.5%(+7.50)#194.9%(+5.10)#3,337
20.586219.8%2.5%(+7.30)#204.9%(+4.90)#3,449
21.587419.8%2.5%(+7.30)#214.9%(+4.90)#3,456
22.587889.7%2.5%(+7.20)#224.9%(+4.80)#3,513
23.582439.6%2.5%(+7.10)#234.9%(+4.70)#3,592
24.587579.2%2.5%(+6.70)#244.9%(+4.30)#3,879
25.585299.2%2.5%(+6.70)#254.9%(+4.30)#3,885
26.583298.4%2.5%(+5.90)#264.9%(+3.50)#4,526
27.582208.1%2.5%(+5.60)#274.9%(+3.20)#4,831
28.580307.5%2.5%(+5.00)#284.9%(+2.60)#5,544
29.586237.2%2.5%(+4.70)#294.9%(+2.30)#5,950
30.584567.1%2.5%(+4.60)#304.9%(+2.20)#6,103
31.583856.7%2.5%(+4.20)#314.9%(+1.80)#6,754
32.580136.3%2.5%(+3.80)#324.9%(+1.40)#7,462
33.587635.9%2.5%(+3.40)#334.9%(+1.00)#8,217
34.580815.8%2.5%(+3.30)#344.9%(+0.900)#8,494
35.585305.7%2.5%(+3.20)#354.9%(+0.800)#8,715
36.587625.7%2.5%(+3.20)#364.9%(+0.800)#8,742
37.580725.6%2.5%(+3.10)#374.9%(+0.700)#8,884
38.585525.5%2.5%(+3.00)#384.9%(+0.600)#9,192
39.585765.4%2.5%(+2.90)#394.9%(+0.500)#9,420
40.586435.3%2.5%(+2.80)#404.9%(+0.400)#9,683
41.585045.1%2.5%(+2.60)#414.9%(+0.200)#9,994
42.583245.1%2.5%(+2.60)#424.9%(+0.200)#10,154
43.586265.1%2.5%(+2.60)#434.9%(+0.200)#10,179
44.586305.1%2.5%(+2.60)#444.9%(+0.200)#10,185
45.583354.9%2.5%(+2.40)#454.9%(=0.000)#10,684
46.587734.9%2.5%(+2.40)#464.9%(=0.000)#10,689
47.584424.8%2.5%(+2.30)#474.9%(-0.100)#10,965
48.580634.7%2.5%(+2.20)#484.9%(-0.200)#11,264
49.581034.6%2.5%(+2.10)#494.9%(-0.300)#11,296
50.582374.6%2.5%(+2.10)#504.9%(-0.300)#11,450
51.584334.6%2.5%(+2.10)#514.9%(-0.300)#11,505
52.585334.6%2.5%(+2.10)#524.9%(-0.300)#11,509
53.580274.3%2.5%(+1.80)#534.9%(-0.600)#12,368
54.582654.3%2.5%(+1.80)#544.9%(-0.600)#12,404
55.587894.3%2.5%(+1.80)#554.9%(-0.600)#12,407
56.583614.3%2.5%(+1.80)#564.9%(-0.600)#12,414
57.587014.1%2.5%(+1.60)#574.9%(-0.800)#12,752
58.586474.0%2.5%(+1.50)#584.9%(-0.900)#13,246
59.583563.9%2.5%(+1.40)#594.9%(-1.00)#13,529
60.586363.8%2.5%(+1.30)#604.9%(-1.10)#13,884
61.586253.8%2.5%(+1.30)#614.9%(-1.10)#13,918
62.583163.7%2.5%(+1.20)#624.9%(-1.20)#14,123
63.580483.7%2.5%(+1.20)#634.9%(-1.20)#14,236
64.580713.6%2.5%(+1.10)#644.9%(-1.30)#14,547
65.587793.6%2.5%(+1.10)#654.9%(-1.30)#14,550
66.588013.5%2.5%(+1.00)#664.9%(-1.40)#14,601
67.587463.5%2.5%(+1.00)#674.9%(-1.40)#14,804
68.584673.5%2.5%(+1.00)#684.9%(-1.40)#14,851
69.587933.4%2.5%(+0.900)#694.9%(-1.50)#15,166
70.582823.3%2.5%(+0.800)#704.9%(-1.60)#15,458
71.586533.3%2.5%(+0.800)#714.9%(-1.60)#15,471
72.587103.3%2.5%(+0.800)#724.9%(-1.60)#15,479
73.587853.2%2.5%(+0.700)#734.9%(-1.70)#15,801
74.582033.0%2.5%(+0.500)#744.9%(-1.90)#16,299
75.580752.9%2.5%(+0.400)#754.9%(-2.00)#16,652
76.582512.9%2.5%(+0.400)#764.9%(-2.00)#16,767
77.583442.9%2.5%(+0.400)#774.9%(-2.00)#16,801
78.585412.9%2.5%(+0.400)#784.9%(-2.00)#16,816
79.585792.8%2.5%(+0.300)#794.9%(-2.10)#17,109
80.587032.7%2.5%(+0.200)#804.9%(-2.20)#17,207
81.580512.7%2.5%(+0.200)#814.9%(-2.20)#17,385
82.587902.7%2.5%(+0.200)#824.9%(-2.20)#17,394
83.582012.6%2.5%(+0.100)#834.9%(-2.30)#17,461
84.585712.6%2.5%(+0.100)#844.9%(-2.30)#17,738
85.586562.6%2.5%(+0.100)#854.9%(-2.30)#17,751
86.583322.6%2.5%(+0.100)#864.9%(-2.30)#17,756
87.580452.5%2.5%(=0.000)#874.9%(-2.40)#18,013
88.583702.5%2.5%(=0.000)#884.9%(-2.40)#18,040
89.584282.5%2.5%(=0.000)#894.9%(-2.40)#18,078
90.587702.4%2.5%(-0.100)#904.9%(-2.50)#18,363
91.581042.3%2.5%(-0.200)#914.9%(-2.60)#18,430
92.585632.3%2.5%(-0.200)#924.9%(-2.60)#18,670
93.580592.3%2.5%(-0.200)#934.9%(-2.60)#18,689
94.581022.2%2.5%(-0.300)#944.9%(-2.70)#18,792
95.585012.2%2.5%(-0.300)#954.9%(-2.70)#18,802
96.586392.2%2.5%(-0.300)#964.9%(-2.70)#19,002
97.582752.2%2.5%(-0.300)#974.9%(-2.70)#19,035
98.582222.2%2.5%(-0.300)#984.9%(-2.70)#19,065
99.585542.1%2.5%(-0.400)#994.9%(-2.80)#19,110
100.583682.1%2.5%(-0.400)#1004.9%(-2.80)#19,264

Common Questions

What are the Top 10 Zip Codes with the Highest Unemployment Rate Among Females in North Dakota?
Top 10 Zip Codes with the Highest Unemployment Rate Among Females in North Dakota are:
#1
41.7%
#2
38.2%
#3
37.5%
#4
28.2%
#5
22.0%
#6
21.5%
#7
20.0%
#8
18.2%
#9
16.4%
#10
14.4%
What zip code has the Highest Unemployment Rate Among Females in North Dakota?
58244 has the Highest Unemployment Rate Among Females in North Dakota with 41.7%.
What is the Unemployment Rate Among Females in the State of North Dakota?
Unemployment Rate Among Females in North Dakota is 2.5%.
What is the Unemployment Rate Among Females in the United States?
Unemployment Rate Among Females in the United States is 4.9%.