Zip Codes with the Highest Unemployment Rate Among Females in Minnesota

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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
Finances
Physical Characteristics
Minnesota
Compare Zip Codes
Comparison Subject

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

0.0%
40.0%
Zip Codes with the Highest Unemployment Rate Among Females in Minnesota Map

Zip Codes with the Highest Unemployment Rate Among Females in Minnesota

Zip Code Female Unemployment vs State vs National
1.5509036.2%3.3%(+32.9)#14.9%(+31.3)#287
2.5666629.2%3.3%(+25.9)#24.9%(+24.3)#419
3.5667027.5%3.3%(+24.2)#34.9%(+22.6)#474
4.5665225.0%3.3%(+21.7)#44.9%(+20.1)#570
5.5577225.0%3.3%(+21.7)#54.9%(+20.1)#576
6.5667121.9%3.3%(+18.6)#64.9%(+17.0)#731
7.5626218.1%3.3%(+14.8)#74.9%(+13.2)#1,057
8.5545417.8%3.3%(+14.5)#84.9%(+12.9)#1,087
9.5572117.5%3.3%(+14.2)#94.9%(+12.6)#1,127
10.5657416.8%3.3%(+13.5)#104.9%(+11.9)#1,231
11.5578016.7%3.3%(+13.4)#114.9%(+11.8)#1,247
12.5631315.4%3.3%(+12.1)#124.9%(+10.5)#1,479
13.5645815.1%3.3%(+11.8)#134.9%(+10.2)#1,534
14.5656614.4%3.3%(+11.1)#144.9%(+9.50)#1,651
15.5646514.2%3.3%(+10.9)#154.9%(+9.30)#1,695
16.5578113.9%3.3%(+10.6)#164.9%(+9.00)#1,766
17.5572513.6%3.3%(+10.3)#174.9%(+8.70)#1,849
18.5501813.4%3.3%(+10.1)#184.9%(+8.50)#1,901
19.5574913.3%3.3%(+10.00)#194.9%(+8.40)#1,935
20.5618112.8%3.3%(+9.50)#204.9%(+7.90)#2,099
21.5666712.8%3.3%(+9.50)#214.9%(+7.90)#2,102
22.5651012.7%3.3%(+9.40)#224.9%(+7.80)#2,126
23.5657512.7%3.3%(+9.40)#234.9%(+7.80)#2,138
24.5605012.3%3.3%(+9.00)#244.9%(+7.40)#2,250
25.5657312.2%3.3%(+8.90)#254.9%(+7.30)#2,274
26.5602912.2%3.3%(+8.90)#264.9%(+7.30)#2,301
27.5561512.0%3.3%(+8.70)#274.9%(+7.10)#2,365
28.5573611.7%3.3%(+8.40)#284.9%(+6.80)#2,472
29.5638411.7%3.3%(+8.40)#294.9%(+6.80)#2,480
30.5638911.5%3.3%(+8.20)#304.9%(+6.60)#2,562
31.5663311.2%3.3%(+7.90)#314.9%(+6.30)#2,686
32.5656811.1%3.3%(+7.80)#324.9%(+6.20)#2,754
33.5539710.7%3.3%(+7.40)#334.9%(+5.80)#2,928
34.5575310.5%3.3%(+7.20)#344.9%(+5.60)#3,028
35.5655010.3%3.3%(+7.00)#354.9%(+5.40)#3,145
36.5571610.2%3.3%(+6.90)#364.9%(+5.30)#3,206
37.5630110.0%3.3%(+6.70)#374.9%(+5.10)#3,280
38.557879.8%3.3%(+6.50)#384.9%(+4.90)#3,458
39.566609.8%3.3%(+6.50)#394.9%(+4.90)#3,465
40.565919.7%3.3%(+6.40)#404.9%(+4.80)#3,519
41.565639.4%3.3%(+6.10)#414.9%(+4.50)#3,711
42.557699.3%3.3%(+6.00)#424.9%(+4.40)#3,787
43.565579.1%3.3%(+5.80)#434.9%(+4.20)#3,935
44.560209.1%3.3%(+5.80)#444.9%(+4.20)#3,971
45.554159.0%3.3%(+5.70)#454.9%(+4.10)#4,014
46.564819.0%3.3%(+5.70)#464.9%(+4.10)#4,026
47.562928.9%3.3%(+5.60)#474.9%(+4.00)#4,124
48.565468.9%3.3%(+5.60)#484.9%(+4.00)#4,126
49.550178.7%3.3%(+5.40)#494.9%(+3.80)#4,294
50.565218.5%3.3%(+5.20)#504.9%(+3.60)#4,458
51.561218.5%3.3%(+5.20)#514.9%(+3.60)#4,461
52.560328.5%3.3%(+5.20)#524.9%(+3.60)#4,465
53.557638.4%3.3%(+5.10)#534.9%(+3.50)#4,541
54.566818.3%3.3%(+5.00)#544.9%(+3.40)#4,657
55.559688.3%3.3%(+5.00)#554.9%(+3.40)#4,661
56.565208.2%3.3%(+4.90)#564.9%(+3.30)#4,722
57.564538.2%3.3%(+4.90)#574.9%(+3.30)#4,748
58.557568.0%3.3%(+4.70)#584.9%(+3.10)#4,968
59.559927.8%3.3%(+4.50)#594.9%(+2.90)#5,151
60.563597.7%3.3%(+4.40)#604.9%(+2.80)#5,281
61.553447.5%3.3%(+4.20)#614.9%(+2.60)#5,488
62.565897.5%3.3%(+4.20)#624.9%(+2.60)#5,528
63.557047.5%3.3%(+4.20)#634.9%(+2.60)#5,536
64.563637.4%3.3%(+4.10)#644.9%(+2.50)#5,679
65.557097.3%3.3%(+4.00)#654.9%(+2.40)#5,764
66.554047.2%3.3%(+3.90)#664.9%(+2.30)#5,863
67.551177.1%3.3%(+3.80)#674.9%(+2.20)#5,992
68.553867.1%3.3%(+3.80)#684.9%(+2.20)#6,048
69.565407.1%3.3%(+3.80)#694.9%(+2.20)#6,095
70.558127.0%3.3%(+3.70)#704.9%(+2.10)#6,189
71.557487.0%3.3%(+3.70)#714.9%(+2.10)#6,241
72.562717.0%3.3%(+3.70)#724.9%(+2.10)#6,243
73.553816.9%3.3%(+3.60)#734.9%(+2.00)#6,396
74.560336.9%3.3%(+3.60)#744.9%(+2.00)#6,419
75.557846.9%3.3%(+3.60)#754.9%(+2.00)#6,425
76.553436.8%3.3%(+3.50)#764.9%(+1.90)#6,466
77.553526.8%3.3%(+3.50)#774.9%(+1.90)#6,506
78.563736.8%3.3%(+3.50)#784.9%(+1.90)#6,547
79.566376.8%3.3%(+3.50)#794.9%(+1.90)#6,581
80.557926.7%3.3%(+3.40)#804.9%(+1.80)#6,669
81.565846.7%3.3%(+3.40)#814.9%(+1.80)#6,725
82.557826.7%3.3%(+3.40)#824.9%(+1.80)#6,743
83.550076.6%3.3%(+3.30)#834.9%(+1.70)#6,875
84.557906.6%3.3%(+3.30)#844.9%(+1.70)#6,882
85.550556.5%3.3%(+3.20)#854.9%(+1.60)#7,009
86.561176.5%3.3%(+3.20)#864.9%(+1.60)#7,071
87.551256.4%3.3%(+3.10)#874.9%(+1.50)#7,090
88.554226.4%3.3%(+3.10)#884.9%(+1.50)#7,121
89.562636.4%3.3%(+3.10)#894.9%(+1.50)#7,263
90.557026.4%3.3%(+3.10)#904.9%(+1.50)#7,264
91.554076.3%3.3%(+3.00)#914.9%(+1.40)#7,294
92.553846.3%3.3%(+3.00)#924.9%(+1.40)#7,422
93.561856.3%3.3%(+3.00)#934.9%(+1.40)#7,454
94.550576.2%3.3%(+2.90)#944.9%(+1.30)#7,535
95.554356.2%3.3%(+2.90)#954.9%(+1.30)#7,556
96.553736.2%3.3%(+2.90)#964.9%(+1.30)#7,593
97.564726.1%3.3%(+2.80)#974.9%(+1.20)#7,775
98.561456.1%3.3%(+2.80)#984.9%(+1.20)#7,851
99.550256.0%3.3%(+2.70)#994.9%(+1.10)#7,912
100.557466.0%3.3%(+2.70)#1004.9%(+1.10)#7,940

Common Questions

What are the Top 10 Zip Codes with the Highest Unemployment Rate Among Females in Minnesota?
Top 10 Zip Codes with the Highest Unemployment Rate Among Females in Minnesota are:
#1
36.2%
#2
29.2%
#3
27.5%
#4
25.0%
#5
25.0%
#6
21.9%
#7
18.1%
#8
17.8%
#9
17.5%
#10
16.8%
What zip code has the Highest Unemployment Rate Among Females in Minnesota?
55090 has the Highest Unemployment Rate Among Females in Minnesota with 36.2%.
What is the Unemployment Rate Among Females in the State of Minnesota?
Unemployment Rate Among Females in Minnesota is 3.3%.
What is the Unemployment Rate Among Females in the United States?
Unemployment Rate Among Females in the United States is 4.9%.