Zip Codes with the Highest Unemployment Rate Among Females in Montana

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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
Montana
Compare Zip Codes
Comparison Subject

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

0.0%
100.0%
Zip Codes with the Highest Unemployment Rate Among Females in Montana Map

Zip Codes with the Highest Unemployment Rate Among Females in Montana

Zip Code Female Unemployment vs State vs National
1. 59915 100.0% 3.3% (+96.7)#1 4.9% (+95.1)#5
2. 59830 57.1% 3.3% (+53.8)#2 4.9% (+52.2)#107
3. 59022 54.7% 3.3% (+51.4)#3 4.9% (+49.8)#119
4. 59743 53.6% 3.3% (+50.3)#4 4.9% (+48.7)#131
5. 59065 50.0% 3.3% (+46.7)#5 4.9% (+45.1)#151
6. 59527 32.3% 3.3% (+29.0)#6 4.9% (+27.4)#344
7. 59411 30.3% 3.3% (+27.0)#7 4.9% (+25.4)#387
8. 59524 27.0% 3.3% (+23.7)#8 4.9% (+22.1)#486
9. 59913 26.8% 3.3% (+23.5)#9 4.9% (+21.9)#491
10. 59026 25.9% 3.3% (+22.6)#10 4.9% (+21.0)#536
11. 59914 23.1% 3.3% (+19.8)#11 4.9% (+18.2)#665
12. 59762 23.1% 3.3% (+19.8)#12 4.9% (+18.2)#666
13. 59526 18.4% 3.3% (+15.1)#13 4.9% (+13.5)#1,011
14. 59066 18.3% 3.3% (+15.0)#14 4.9% (+13.4)#1,035
15. 59528 18.2% 3.3% (+14.9)#15 4.9% (+13.3)#1,044
16. 59450 17.5% 3.3% (+14.2)#16 4.9% (+12.6)#1,137
17. 59520 17.3% 3.3% (+14.0)#17 4.9% (+12.4)#1,166
18. 59823 16.3% 3.3% (+13.0)#18 4.9% (+11.4)#1,300
19. 59231 16.3% 3.3% (+13.0)#19 4.9% (+11.4)#1,308
20. 59812 14.9% 3.3% (+11.6)#20 4.9% (+10.00)#1,562
21. 59089 14.6% 3.3% (+11.3)#21 4.9% (+9.70)#1,611
22. 59031 14.1% 3.3% (+10.8)#22 4.9% (+9.20)#1,727
23. 59644 13.1% 3.3% (+9.80)#23 4.9% (+8.20)#1,984
24. 59015 12.8% 3.3% (+9.50)#24 4.9% (+7.90)#2,106
25. 59417 12.6% 3.3% (+9.30)#25 4.9% (+7.70)#2,152
26. 59448 12.3% 3.3% (+9.00)#26 4.9% (+7.40)#2,255
27. 59324 12.2% 3.3% (+8.90)#27 4.9% (+7.30)#2,300
28. 59859 12.0% 3.3% (+8.70)#28 4.9% (+7.10)#2,345
29. 59088 11.7% 3.3% (+8.40)#29 4.9% (+6.80)#2,473
30. 59831 11.7% 3.3% (+8.40)#30 4.9% (+6.80)#2,478
31. 59225 11.6% 3.3% (+8.30)#31 4.9% (+6.70)#2,515
32. 59016 10.9% 3.3% (+7.60)#32 4.9% (+6.00)#2,832
33. 59858 10.6% 3.3% (+7.30)#33 4.9% (+5.70)#2,981
34. 59854 10.5% 3.3% (+7.20)#34 4.9% (+5.60)#3,034
35. 59070 10.2% 3.3% (+6.90)#35 4.9% (+5.30)#3,196
36. 59829 9.7% 3.3% (+6.40)#36 4.9% (+4.80)#3,503
37. 59255 9.6% 3.3% (+6.30)#37 4.9% (+4.70)#3,565
38. 59868 9.6% 3.3% (+6.30)#38 4.9% (+4.70)#3,575
39. 59804 9.4% 3.3% (+6.10)#39 4.9% (+4.50)#3,693
40. 59222 9.4% 3.3% (+6.10)#40 4.9% (+4.50)#3,724
41. 59043 9.3% 3.3% (+6.00)#41 4.9% (+4.40)#3,782
42. 59917 9.2% 3.3% (+5.90)#42 4.9% (+4.30)#3,851
43. 59068 9.2% 3.3% (+5.90)#43 4.9% (+4.30)#3,861
44. 59826 8.6% 3.3% (+5.30)#44 4.9% (+3.70)#4,373
45. 59920 8.2% 3.3% (+4.90)#45 4.9% (+3.30)#4,740
46. 59727 8.2% 3.3% (+4.90)#46 4.9% (+3.30)#4,754
47. 59931 8.2% 3.3% (+4.90)#47 4.9% (+3.30)#4,755
48. 59521 8.1% 3.3% (+4.80)#48 4.9% (+3.20)#4,823
49. 59925 8.1% 3.3% (+4.80)#49 4.9% (+3.20)#4,835
50. 59865 7.8% 3.3% (+4.50)#50 4.9% (+2.90)#5,161
51. 59845 7.7% 3.3% (+4.40)#51 4.9% (+2.80)#5,305
52. 59201 7.4% 3.3% (+4.10)#52 4.9% (+2.50)#5,622
53. 59821 7.4% 3.3% (+4.10)#53 4.9% (+2.50)#5,642
54. 59014 7.4% 3.3% (+4.10)#54 4.9% (+2.50)#5,656
55. 59457 7.2% 3.3% (+3.90)#55 4.9% (+2.30)#5,916
56. 59538 6.9% 3.3% (+3.60)#56 4.9% (+2.00)#6,376
57. 59349 6.8% 3.3% (+3.50)#57 4.9% (+1.90)#6,568
58. 59864 6.6% 3.3% (+3.30)#58 4.9% (+1.70)#6,838
59. 59330 6.4% 3.3% (+3.10)#59 4.9% (+1.50)#7,182
60. 59436 6.3% 3.3% (+3.00)#60 4.9% (+1.40)#7,420
61. 59050 6.1% 3.3% (+2.80)#61 4.9% (+1.20)#7,828
62. 59802 5.7% 3.3% (+2.40)#62 4.9% (+0.800)#8,594
63. 59072 5.6% 3.3% (+2.30)#63 4.9% (+0.700)#8,903
64. 59434 5.5% 3.3% (+2.20)#64 4.9% (+0.600)#9,211
65. 59416 5.5% 3.3% (+2.20)#65 4.9% (+0.600)#9,212
66. 59870 5.2% 3.3% (+1.90)#66 4.9% (+0.300)#9,801
67. 59452 5.2% 3.3% (+1.90)#67 4.9% (+0.300)#9,925
68. 59063 5.0% 3.3% (+1.70)#68 4.9% (+0.100)#10,402
69. 59101 4.9% 3.3% (+1.60)#69 4.9% (=0.000)#10,482
70. 59711 4.9% 3.3% (+1.60)#70 4.9% (=0.000)#10,603
71. 59701 4.7% 3.3% (+1.40)#71 4.9% (-0.200)#11,039
72. 59801 4.7% 3.3% (+1.40)#72 4.9% (-0.200)#11,049
73. 59047 4.7% 3.3% (+1.40)#73 4.9% (-0.200)#11,127
74. 59912 4.6% 3.3% (+1.30)#74 4.9% (-0.300)#11,392
75. 59079 4.6% 3.3% (+1.30)#75 4.9% (-0.300)#11,469
76. 59323 4.6% 3.3% (+1.30)#76 4.9% (-0.300)#11,481
77. 59602 4.5% 3.3% (+1.20)#77 4.9% (-0.400)#11,591
78. 59029 4.5% 3.3% (+1.20)#78 4.9% (-0.400)#11,794
79. 59030 4.3% 3.3% (+1.000)#79 4.9% (-0.600)#12,381
80. 59748 4.3% 3.3% (+1.000)#80 4.9% (-0.600)#12,411
81. 59525 4.2% 3.3% (+0.900)#81 4.9% (-0.700)#12,696
82. 59729 4.1% 3.3% (+0.800)#82 4.9% (-0.800)#12,933
83. 59633 4.1% 3.3% (+0.800)#83 4.9% (-0.800)#12,982
84. 59444 3.8% 3.3% (+0.500)#84 4.9% (-1.10)#13,920
85. 59427 3.3% 3.3% (=0.000)#85 4.9% (-1.60)#15,388
86. 59003 3.3% 3.3% (=0.000)#86 4.9% (-1.60)#15,463
87. 59715 3.2% 3.3% (-0.100)#87 4.9% (-1.70)#15,538
88. 59935 3.2% 3.3% (-0.100)#88 4.9% (-1.70)#15,749
89. 59405 3.1% 3.3% (-0.200)#89 4.9% (-1.80)#15,901
90. 59230 3.1% 3.3% (-0.200)#90 4.9% (-1.80)#16,077
91. 59027 3.1% 3.3% (-0.200)#91 4.9% (-1.80)#16,181
92. 59860 3.0% 3.3% (-0.300)#92 4.9% (-1.90)#16,331
93. 59759 2.9% 3.3% (-0.400)#93 4.9% (-2.00)#16,718
94. 59011 2.9% 3.3% (-0.400)#94 4.9% (-2.00)#16,733
95. 59501 2.7% 3.3% (-0.600)#95 4.9% (-2.20)#17,262
96. 59632 2.6% 3.3% (-0.700)#96 4.9% (-2.30)#17,688
97. 59834 2.6% 3.3% (-0.700)#97 4.9% (-2.30)#17,694
98. 59820 2.6% 3.3% (-0.700)#98 4.9% (-2.30)#17,696
99. 59634 2.5% 3.3% (-0.800)#99 4.9% (-2.40)#17,952
100. 59730 2.5% 3.3% (-0.800)#100 4.9% (-2.40)#18,001

Common Questions

What are the Top 10 Zip Codes with the Highest Unemployment Rate Among Females in Montana?
Top 10 Zip Codes with the Highest Unemployment Rate Among Females in Montana are:
#1
100.0%
#2
57.1%
#3
54.7%
#4
53.6%
#5
50.0%
#6
32.3%
#7
30.3%
#8
27.0%
#9
26.8%
#10
25.9%
What zip code has the Highest Unemployment Rate Among Females in Montana?
59915 has the Highest Unemployment Rate Among Females in Montana with 100.0%.
What is the Unemployment Rate Among Females in the State of Montana?
Unemployment Rate Among Females in Montana 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%.