Australian vs Crow Community Comparison

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Australian
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
Crow
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Australians

Crow

Excellent
Fair
9,058
SOCIAL INDEX
88.0/ 100
SOCIAL RATING
32nd/ 347
SOCIAL RANK
2,555
SOCIAL INDEX
23.1/ 100
SOCIAL RATING
251st/ 347
SOCIAL RANK

Crow Integration in Australian Communities

The statistical analysis conducted on geographies consisting of 46,519,054 people shows a very strong positive correlation between the proportion of Crow within Australian communities in the United States with a correlation coefficient (R) of 0.892. On average, for every 1% (one percent) increase in Australians within a typical geography, there is an increase of 1.844% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Australians corresponds to an increase of 1,843.6 Crow.
Australian Integration in Crow Communities

Australian vs Crow Income

When considering income, the most significant differences between Australian and Crow communities in the United States are seen in per capita income ($52,074 compared to $31,729, a difference of 64.1%), median family income ($118,440 compared to $76,605, a difference of 54.6%), and householder income ages 45 - 64 years ($113,533 compared to $74,257, a difference of 52.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,739 compared to $47,012, a difference of 14.3%), median female earnings ($43,308 compared to $35,266, a difference of 22.8%), and median earnings ($52,294 compared to $38,707, a difference of 35.1%).
Australian vs Crow Income
Income MetricAustralianCrow
Per Capita Income
Exceptional
$52,074
Tragic
$31,729
Median Family Income
Exceptional
$118,440
Tragic
$76,605
Median Household Income
Exceptional
$96,490
Tragic
$63,681
Median Earnings
Exceptional
$52,294
Tragic
$38,707
Median Male Earnings
Exceptional
$62,857
Tragic
$42,434
Median Female Earnings
Exceptional
$43,308
Tragic
$35,266
Householder Age | Under 25 years
Exceptional
$53,739
Tragic
$47,012
Householder Age | 25 - 44 years
Exceptional
$107,912
Tragic
$71,337
Householder Age | 45 - 64 years
Exceptional
$113,533
Tragic
$74,257
Householder Age | Over 65 years
Exceptional
$66,891
Tragic
$49,234
Wage/Income Gap
Tragic
28.2%
Exceptional
19.1%

Australian vs Crow Poverty

When considering poverty, the most significant differences between Australian and Crow communities in the United States are seen in married-couple family poverty (4.3% compared to 9.6%, a difference of 121.7%), family poverty (7.8% compared to 16.1%, a difference of 106.0%), and child poverty under the age of 5 (15.5% compared to 31.0%, a difference of 100.0%). Conversely, both communities are more comparable in terms of single mother poverty (28.3% compared to 38.6%, a difference of 36.5%), seniors poverty over the age of 75 (11.5% compared to 15.9%, a difference of 38.9%), and receiving food stamps (9.6% compared to 13.4%, a difference of 39.5%).
Australian vs Crow Poverty
Poverty MetricAustralianCrow
Poverty
Exceptional
11.4%
Tragic
20.7%
Families
Exceptional
7.8%
Tragic
16.1%
Males
Exceptional
10.4%
Tragic
19.1%
Females
Exceptional
12.5%
Tragic
22.1%
Females 18 to 24 years
Tragic
20.8%
Tragic
33.2%
Females 25 to 34 years
Exceptional
12.8%
Tragic
22.7%
Children Under 5 years
Exceptional
15.5%
Tragic
31.0%
Children Under 16 years
Exceptional
14.4%
Tragic
26.0%
Boys Under 16 years
Exceptional
14.7%
Tragic
26.3%
Girls Under 16 years
Exceptional
14.8%
Tragic
26.4%
Single Males
Good
12.6%
Tragic
23.3%
Single Females
Excellent
20.3%
Tragic
32.4%
Single Fathers
Exceptional
15.7%
Tragic
30.3%
Single Mothers
Exceptional
28.3%
Tragic
38.6%
Married Couples
Exceptional
4.3%
Tragic
9.6%
Seniors Over 65 years
Exceptional
9.9%
Tragic
15.2%
Seniors Over 75 years
Exceptional
11.5%
Tragic
15.9%
Receiving Food Stamps
Exceptional
9.6%
Tragic
13.4%

Australian vs Crow Unemployment

When considering unemployment, the most significant differences between Australian and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.5% compared to 15.7%, a difference of 252.7%), unemployment among seniors over 65 years (5.1% compared to 16.9%, a difference of 232.6%), and unemployment among ages 65 to 74 years (5.3% compared to 17.4%, a difference of 230.5%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 2.5%), unemployment among women with children ages 6 to 17 years (8.5% compared to 9.2%, a difference of 8.5%), and unemployment among ages 55 to 59 years (4.8% compared to 5.9%, a difference of 21.8%).
Australian vs Crow Unemployment
Unemployment MetricAustralianCrow
Unemployment
Exceptional
4.9%
Tragic
11.1%
Males
Exceptional
5.0%
Tragic
10.6%
Females
Exceptional
4.9%
Tragic
12.1%
Youth < 25
Exceptional
10.9%
Tragic
20.1%
Age | 16 to 19 years
Excellent
17.2%
Tragic
26.2%
Age | 20 to 24 years
Exceptional
9.6%
Tragic
18.7%
Age | 25 to 29 years
Exceptional
6.4%
Tragic
15.4%
Age | 30 to 34 years
Excellent
5.3%
Tragic
10.3%
Age | 35 to 44 years
Exceptional
4.5%
Tragic
15.7%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
13.7%
Age | 55 to 59 years
Average
4.8%
Tragic
5.9%
Age | 60 to 64 years
Good
4.8%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
5.3%
Tragic
17.4%
Seniors > 65
Excellent
5.1%
Tragic
16.9%
Seniors > 75
Average
8.7%
Exceptional
5.9%
Women w/ Children < 6
Exceptional
7.2%
Tragic
14.6%
Women w/ Children 6 to 17
Exceptional
8.5%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.2%
Tragic
8.2%

Australian vs Crow Labor Participation

When considering labor participation, the most significant differences between Australian and Crow communities in the United States are seen in in labor force | age 30-34 (85.0% compared to 75.9%, a difference of 12.0%), in labor force | age 35-44 (84.3% compared to 76.5%, a difference of 10.2%), and in labor force | age 20-64 (79.5% compared to 73.3%, a difference of 8.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.5% compared to 76.9%, a difference of 1.8%), in labor force | age 16-19 (37.8% compared to 38.5%, a difference of 1.9%), and in labor force | age 45-54 (82.5% compared to 78.3%, a difference of 5.4%).
Australian vs Crow Labor Participation
Labor Participation MetricAustralianCrow
In Labor Force | Age > 16
Good
65.3%
Tragic
60.8%
In Labor Force | Age 20-64
Average
79.5%
Tragic
73.3%
In Labor Force | Age 16-19
Exceptional
37.8%
Exceptional
38.5%
In Labor Force | Age 20-24
Excellent
75.5%
Exceptional
76.9%
In Labor Force | Age 25-29
Excellent
84.9%
Tragic
78.6%
In Labor Force | Age 30-34
Exceptional
85.0%
Tragic
75.9%
In Labor Force | Age 35-44
Fair
84.3%
Tragic
76.5%
In Labor Force | Age 45-54
Fair
82.5%
Tragic
78.3%

Australian vs Crow Family Structure

When considering family structure, the most significant differences between Australian and Crow communities in the United States are seen in single father households (2.2% compared to 3.5%, a difference of 61.5%), births to unmarried women (29.5% compared to 40.4%, a difference of 36.6%), and single mother households (5.6% compared to 7.4%, a difference of 33.7%). Conversely, both communities are more comparable in terms of family households with children (26.9% compared to 27.4%, a difference of 1.7%), family households (62.8% compared to 65.3%, a difference of 3.9%), and married-couple households (47.4% compared to 41.4%, a difference of 14.5%).
Australian vs Crow Family Structure
Family Structure MetricAustralianCrow
Family Households
Tragic
62.8%
Exceptional
65.3%
Family Households with Children
Tragic
26.9%
Fair
27.4%
Married-couple Households
Excellent
47.4%
Tragic
41.4%
Average Family Size
Tragic
3.13
Exceptional
3.82
Single Father Households
Exceptional
2.2%
Tragic
3.5%
Single Mother Households
Exceptional
5.6%
Tragic
7.4%
Currently Married
Exceptional
47.6%
Tragic
40.4%
Divorced or Separated
Excellent
11.9%
Tragic
14.1%
Births to Unmarried Women
Exceptional
29.5%
Tragic
40.4%

Australian vs Crow Vehicle Availability

When considering vehicle availability, the most significant differences between Australian and Crow communities in the United States are seen in 4 or more vehicles in household (6.6% compared to 7.8%, a difference of 18.7%), 3 or more vehicles in household (20.1% compared to 22.5%, a difference of 11.8%), and no vehicles in household (10.1% compared to 11.0%, a difference of 9.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 89.3%, a difference of 0.82%), 2 or more vehicles in household (56.7% compared to 55.7%, a difference of 1.7%), and no vehicles in household (10.1% compared to 11.0%, a difference of 9.3%).
Australian vs Crow Vehicle Availability
Vehicle Availability MetricAustralianCrow
No Vehicles Available
Good
10.1%
Poor
11.0%
1+ Vehicles Available
Good
90.0%
Fair
89.3%
2+ Vehicles Available
Exceptional
56.7%
Good
55.7%
3+ Vehicles Available
Excellent
20.1%
Exceptional
22.5%
4+ Vehicles Available
Excellent
6.6%
Exceptional
7.8%

Australian vs Crow Education Level

When considering education level, the most significant differences between Australian and Crow communities in the United States are seen in professional degree (5.9% compared to 3.2%, a difference of 86.4%), master's degree (18.4% compared to 10.6%, a difference of 73.0%), and doctorate degree (2.4% compared to 1.5%, a difference of 62.3%). Conversely, both communities are more comparable in terms of 9th grade (96.0% compared to 96.1%, a difference of 0.010%), 10th grade (95.1% compared to 94.7%, a difference of 0.45%), and nursery school (98.5% compared to 99.7%, a difference of 1.2%).
Australian vs Crow Education Level
Education Level MetricAustralianCrow
No Schooling Completed
Exceptional
1.6%
Exceptional
1.6%
Nursery School
Exceptional
98.5%
Exceptional
99.7%
Kindergarten
Exceptional
98.4%
Exceptional
99.7%
1st Grade
Exceptional
98.4%
Exceptional
99.6%
2nd Grade
Exceptional
98.4%
Exceptional
99.6%
3rd Grade
Exceptional
98.3%
Exceptional
99.6%
4th Grade
Exceptional
98.1%
Exceptional
99.6%
5th Grade
Exceptional
98.0%
Exceptional
99.5%
6th Grade
Exceptional
97.8%
Exceptional
99.4%
7th Grade
Exceptional
97.0%
Exceptional
99.1%
8th Grade
Exceptional
96.7%
Exceptional
99.0%
9th Grade
Exceptional
96.0%
Exceptional
96.1%
10th Grade
Exceptional
95.1%
Exceptional
94.7%
11th Grade
Exceptional
94.1%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
92.9%
Tragic
90.0%
High School Diploma
Exceptional
91.2%
Poor
88.4%
GED/Equivalency
Exceptional
88.1%
Tragic
83.8%
College, Under 1 year
Exceptional
70.4%
Tragic
60.2%
College, 1 year or more
Exceptional
64.6%
Tragic
54.5%
Associate's Degree
Exceptional
51.9%
Tragic
37.6%
Bachelor's Degree
Exceptional
44.0%
Tragic
27.7%
Master's Degree
Exceptional
18.4%
Tragic
10.6%
Professional Degree
Exceptional
5.9%
Tragic
3.2%
Doctorate Degree
Exceptional
2.4%
Tragic
1.5%

Australian vs Crow Disability

When considering disability, the most significant differences between Australian and Crow communities in the United States are seen in disability age 35 to 64 (10.8% compared to 14.6%, a difference of 35.9%), hearing disability (3.2% compared to 4.2%, a difference of 31.6%), and disability age 65 to 74 (22.0% compared to 27.9%, a difference of 26.9%). Conversely, both communities are more comparable in terms of cognitive disability (17.2% compared to 17.3%, a difference of 1.0%), disability age 5 to 17 (5.5% compared to 5.4%, a difference of 2.1%), and female disability (11.7% compared to 12.7%, a difference of 8.0%).
Australian vs Crow Disability
Disability MetricAustralianCrow
Disability
Excellent
11.5%
Tragic
12.9%
Males
Average
11.3%
Tragic
13.1%
Females
Exceptional
11.7%
Tragic
12.7%
Age | Under 5 years
Tragic
1.4%
Average
1.2%
Age | 5 to 17 years
Good
5.5%
Exceptional
5.4%
Age | 18 to 34 years
Poor
6.8%
Tragic
8.3%
Age | 35 to 64 years
Exceptional
10.8%
Tragic
14.6%
Age | 65 to 74 years
Exceptional
22.0%
Tragic
27.9%
Age | Over 75 years
Exceptional
45.7%
Tragic
49.6%
Vision
Exceptional
2.1%
Tragic
2.5%
Hearing
Tragic
3.2%
Tragic
4.2%
Cognitive
Good
17.2%
Fair
17.3%
Ambulatory
Exceptional
5.8%
Tragic
6.9%
Self-Care
Exceptional
2.3%
Poor
2.5%