Crow Female Unemployment

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Crow
Race
Ancestry
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
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Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Female Unemployment
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Crow Female Unemployment
Tragic

12.1%
UNEMPLOYMENT | FEMALES
0.0/ 100
METRIC RATING
347th/ 347
METRIC RANK

Crow Female Unemployment Correlation Chart

The statistical analysis conducted on geographies consisting of 59,046,149 people shows a moderate positive correlation between the proportion of Crow and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.495 and weighted average of 12.1%. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.20% in unemploymnet rate among females.
Crow Female Unemployment
It is essential to understand that the correlation between the percentage of Crow and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Crow influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Crow simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.

Demographics Similar to Crow by Female Unemployment

In terms of female unemployment, the demographic groups most similar to Crow are Yup'ik (10.9%, a difference of 11.5%), Yuman (9.6%, a difference of 26.4%), Pima (9.3%, a difference of 29.9%), Arapaho (8.8%, a difference of 37.9%), and Puerto Rican (8.3%, a difference of 45.3%).
DemographicsRating | RankFemale Unemployment
Menominee
0.0
/100
|
#333
Tragic
7.0%
Immigrants from Armenia
0.0
/100
|
#334
Tragic
7.1%
Dominicans
0.0
/100
|
#335
Tragic
7.2%
Immigrants from Dominican Republic
0.0
/100
|
#336
Tragic
7.2%
Navajo
0.0
/100
|
#337
Tragic
7.3%
Tohono O'odham
0.0
/100
|
#338
Tragic
7.7%
Immigrants from Yemen
0.0
/100
|
#339
Tragic
7.8%
Hopi
0.0
/100
|
#340
Tragic
8.1%
Inupiat
0.0
/100
|
#341
Tragic
8.2%
Puerto Ricans
0.0
/100
|
#342
Tragic
8.3%
Arapaho
0.0
/100
|
#343
Tragic
8.8%
Pima
0.0
/100
|
#344
Tragic
9.3%
Yuman
0.0
/100
|
#345
Tragic
9.6%
Yup'ik
0.0
/100
|
#346
Tragic
10.9%
Crow
0.0
/100
|
#347
Tragic
12.1%

Crow Female Unemployment Correlation Summary

MeasurementCrow DataFemale Unemployment Data
Minimum0.023%2.0%
Maximum93.4%56.9%
Range93.4%54.9%
Mean28.9%12.9%
Median9.4%7.3%
Interquartile 25% (IQ1)3.1%4.8%
Interquartile 75% (IQ3)72.7%14.9%
Interquartile Range (IQR)69.6%10.1%
Standard Deviation (Sample)35.6%14.4%
Standard Deviation (Population)35.0%14.1%

Correlation Details

Crow PercentileSample SizeFemale Unemployment
[
0.0%
-
0.5%
]
0.023%
58,436,9675.4%
[
0.5%
-
1.0%
]
0.58%
259,1274.9%
[
1.0%
-
1.5%
]
1.26%
159,4454.8%
[
1.5%
-
2.0%
]
1.60%
89,2644.8%
[
2.0%
-
2.5%
]
2.06%
4,76310.1%
[
2.0%
-
2.5%
]
2.45%
49,0485.4%
[
2.5%
-
3.0%
]
2.84%
1,5842.1%
[
3.0%
-
3.5%
]
3.26%
10,8306.1%
[
4.0%
-
4.5%
]
4.20%
1,35839.1%
[
4.5%
-
5.0%
]
4.98%
4,8603.3%
[
5.0%
-
5.5%
]
5.10%
1,0197.3%
[
5.5%
-
6.0%
]
5.79%
1,79610.3%
[
6.5%
-
7.0%
]
6.61%
4,2237.9%
[
6.5%
-
7.0%
]
7.00%
72927.0%
[
9.0%
-
9.5%
]
9.45%
2,06415.3%
[
10.0%
-
10.5%
]
10.08%
2,8173.3%
[
11.0%
-
11.5%
]
11.36%
1768.0%
[
13.5%
-
14.0%
]
13.79%
4285.7%
[
15.5%
-
16.0%
]
15.56%
1,1253.3%
[
22.0%
-
22.5%
]
22.35%
7834.8%
[
35.0%
-
35.5%
]
35.12%
5,1992.0%
[
68.0%
-
68.5%
]
68.23%
57614.6%
[
77.0%
-
77.5%
]
77.09%
1,6026.1%
[
79.5%
-
80.0%
]
79.96%
4598.3%
[
85.5%
-
86.0%
]
85.61%
66018.3%
[
86.5%
-
87.0%
]
86.61%
2,18054.7%
[
89.0%
-
89.5%
]
89.03%
62919.4%
[
91.5%
-
92.0%
]
91.65%
1,96556.9%
[
93.0%
-
93.5%
]
93.45%
47314.1%