Zip Codes with the Lowest Median Female Earnings in North Dakota

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Lowest Earnings | 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
Finances
Physical Characteristics
North Dakota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Median Female Earnings in North Dakota

$30,000
$0
Zip Codes with the Lowest Median Female Earnings in North Dakota Map

Zip Codes with the Lowest Median Female Earnings in North Dakota

Zip Code Earnings vs State vs National
1.58260$2,499$35,363(-32.9k)#1$35,367(-32.9k)#48
2.58769$2,499$35,363(-32.9k)#2$35,367(-32.9k)#57
3.58830$2,499$35,363(-32.9k)#3$35,367(-32.9k)#60
4.58712$2,499$35,363(-32.9k)#4$35,367(-32.9k)#73
5.58641$2,499$35,363(-32.9k)#5$35,367(-32.9k)#74
6.58405$5,215$35,363(-30.1k)#6$35,367(-30.2k)#282
7.58707$5,597$35,363(-29.8k)#7$35,367(-29.8k)#300
8.58202$5,636$35,363(-29.7k)#8$35,367(-29.7k)#304
9.58105$5,918$35,363(-29.4k)#9$35,367(-29.4k)#314
10.58262$6,000$35,363(-29.4k)#10$35,367(-29.4k)#316
11.58277$6,823$35,363(-28.5k)#11$35,367(-28.5k)#345
12.58620$8,250$35,363(-27.1k)#12$35,367(-27.1k)#377
13.58779$8,750$35,363(-26.6k)#13$35,367(-26.6k)#391
14.58385$9,107$35,363(-26.3k)#14$35,367(-26.3k)#402
15.58007$9,844$35,363(-25.5k)#15$35,367(-25.5k)#424
16.58076$12,266$35,363(-23.1k)#16$35,367(-23.1k)#565
17.58415$13,409$35,363(-22.0k)#17$35,367(-22.0k)#636
18.58466$15,000$35,363(-20.4k)#18$35,367(-20.4k)#832
19.58634$15,737$35,363(-19.6k)#19$35,367(-19.6k)#916
20.58524$16,250$35,363(-19.1k)#20$35,367(-19.1k)#1,018
21.58571$16,384$35,363(-19.0k)#21$35,367(-19.0k)#1,035
22.58562$17,500$35,363(-17.9k)#22$35,367(-17.9k)#1,304
23.58429$18,571$35,363(-16.8k)#23$35,367(-16.8k)#1,510
24.58269$18,875$35,363(-16.5k)#24$35,367(-16.5k)#1,616
25.58787$18,875$35,363(-16.5k)#25$35,367(-16.5k)#1,617
26.58653$19,000$35,363(-16.4k)#26$35,367(-16.4k)#1,646
27.58523$19,458$35,363(-15.9k)#27$35,367(-15.9k)#1,778
28.58561$19,688$35,363(-15.7k)#28$35,367(-15.7k)#1,851
29.58581$19,750$35,363(-15.6k)#29$35,367(-15.6k)#1,877
30.58048$20,000$35,363(-15.4k)#30$35,367(-15.4k)#1,960
31.58649$21,042$35,363(-14.3k)#31$35,367(-14.3k)#2,310
32.58244$21,250$35,363(-14.1k)#32$35,367(-14.1k)#2,409
33.58544$21,371$35,363(-14.0k)#33$35,367(-14.0k)#2,456
34.58765$21,786$35,363(-13.6k)#34$35,367(-13.6k)#2,691
35.58573$22,159$35,363(-13.2k)#35$35,367(-13.2k)#2,913
36.58216$22,589$35,363(-12.8k)#36$35,367(-12.8k)#3,157
37.58735$22,679$35,363(-12.7k)#37$35,367(-12.7k)#3,215
38.58528$22,778$35,363(-12.6k)#38$35,367(-12.6k)#3,270
39.58424$22,917$35,363(-12.4k)#39$35,367(-12.4k)#3,361
40.58760$22,917$35,363(-12.4k)#40$35,367(-12.4k)#3,363
41.58271$23,000$35,363(-12.4k)#41$35,367(-12.4k)#3,396
42.58445$23,021$35,363(-12.3k)#42$35,367(-12.3k)#3,411
43.58761$23,125$35,363(-12.2k)#43$35,367(-12.2k)#3,491
44.58483$23,125$35,363(-12.2k)#44$35,367(-12.2k)#3,498
45.58463$23,250$35,363(-12.1k)#45$35,367(-12.1k)#3,586
46.58345$23,333$35,363(-12.0k)#46$35,367(-12.0k)#3,649
47.58038$23,472$35,363(-11.9k)#47$35,367(-11.9k)#3,745
48.58222$23,571$35,363(-11.8k)#48$35,367(-11.8k)#3,821
49.58736$23,750$35,363(-11.6k)#49$35,367(-11.6k)#3,977
50.58638$24,018$35,363(-11.3k)#50$35,367(-11.3k)#4,198
51.58238$24,063$35,363(-11.3k)#51$35,367(-11.3k)#4,241
52.58313$24,063$35,363(-11.3k)#52$35,367(-11.3k)#4,243
53.58033$24,125$35,363(-11.2k)#53$35,367(-11.2k)#4,301
54.58478$24,211$35,363(-11.2k)#54$35,367(-11.2k)#4,395
55.58630$24,241$35,363(-11.1k)#55$35,367(-11.1k)#4,424
56.58532$24,286$35,363(-11.1k)#56$35,367(-11.1k)#4,464
57.58622$24,297$35,363(-11.1k)#57$35,367(-11.1k)#4,471
58.58631$24,306$35,363(-11.1k)#58$35,367(-11.1k)#4,483
59.58474$24,464$35,363(-10.9k)#59$35,367(-10.9k)#4,640
60.58230$24,688$35,363(-10.7k)#60$35,367(-10.7k)#4,876
61.58341$24,818$35,363(-10.5k)#61$35,367(-10.5k)#5,010
62.58845$25,000$35,363(-10.4k)#62$35,367(-10.4k)#5,193
63.58418$25,000$35,363(-10.4k)#63$35,367(-10.4k)#5,196
64.58632$25,000$35,363(-10.4k)#64$35,367(-10.4k)#5,201
65.58205$25,000$35,363(-10.4k)#65$35,367(-10.4k)#5,203
66.58705$25,875$35,363(-9.49k)#66$35,367(-9.49k)#5,898
67.58102$25,879$35,363(-9.48k)#67$35,367(-9.49k)#5,904
68.58318$25,990$35,363(-9.37k)#68$35,367(-9.38k)#5,992
69.58063$26,250$35,363(-9.11k)#69$35,367(-9.12k)#6,281
70.58443$26,250$35,363(-9.11k)#70$35,367(-9.12k)#6,301
71.58386$26,250$35,363(-9.11k)#71$35,367(-9.12k)#6,303
72.58348$26,528$35,363(-8.84k)#72$35,367(-8.84k)#6,567
73.58458$26,771$35,363(-8.59k)#73$35,367(-8.60k)#6,815
74.58344$26,964$35,363(-8.40k)#74$35,367(-8.40k)#7,014
75.58750$26,964$35,363(-8.40k)#75$35,367(-8.40k)#7,015
76.58416$27,292$35,363(-8.07k)#76$35,367(-8.07k)#7,409
77.58529$27,321$35,363(-8.04k)#77$35,367(-8.05k)#7,445
78.58643$27,500$35,363(-7.86k)#78$35,367(-7.87k)#7,673
79.58203$27,509$35,363(-7.85k)#79$35,367(-7.86k)#7,676
80.58540$27,973$35,363(-7.39k)#80$35,367(-7.39k)#8,210
81.58368$27,981$35,363(-7.38k)#81$35,367(-7.39k)#8,215
82.58428$28,036$35,363(-7.33k)#82$35,367(-7.33k)#8,297
83.58433$28,106$35,363(-7.26k)#83$35,367(-7.26k)#8,391
84.58013$28,125$35,363(-7.24k)#84$35,367(-7.24k)#8,423
85.58075$28,222$35,363(-7.14k)#85$35,367(-7.14k)#8,517
86.58730$28,333$35,363(-7.03k)#86$35,367(-7.03k)#8,670
87.58057$28,500$35,363(-6.86k)#87$35,367(-6.87k)#8,916
88.58849$28,561$35,363(-6.80k)#88$35,367(-6.81k)#9,001
89.58646$28,571$35,363(-6.79k)#89$35,367(-6.80k)#9,015
90.58257$28,750$35,363(-6.61k)#90$35,367(-6.62k)#9,251
91.58740$28,750$35,363(-6.61k)#91$35,367(-6.62k)#9,271
92.58231$28,750$35,363(-6.61k)#92$35,367(-6.62k)#9,289
93.58380$28,750$35,363(-6.61k)#93$35,367(-6.62k)#9,292
94.58311$28,750$35,363(-6.61k)#94$35,367(-6.62k)#9,320
95.58495$28,828$35,363(-6.54k)#95$35,367(-6.54k)#9,399
96.58748$28,828$35,363(-6.54k)#96$35,367(-6.54k)#9,401
97.58460$29,000$35,363(-6.36k)#97$35,367(-6.37k)#9,645
98.58640$29,028$35,363(-6.33k)#98$35,367(-6.34k)#9,681
99.58064$29,063$35,363(-6.30k)#99$35,367(-6.30k)#9,730
100.58645$29,063$35,363(-6.30k)#100$35,367(-6.30k)#9,731

Common Questions

What are the Top 10 Zip Codes with the Lowest Median Female Earnings in North Dakota?
Top 10 Zip Codes with the Lowest Median Female Earnings in North Dakota are:
#1
$2,499
#2
$2,499
#3
$2,499
#4
$2,499
#5
$2,499
#6
$5,215
#7
$5,597
#8
$5,636
#9
$5,918
#10
$6,000
What zip code has the Lowest Median Female Earnings in North Dakota?
58260 has the Lowest Median Female Earnings in North Dakota with $2,499.
What is the Median Female Earnings in the State of North Dakota?
Median Female Earnings in North Dakota is $35,363.
What is the Median Female Earnings in the United States?
Median Female Earnings in the United States is $35,367.