Immigrants from Asia vs Crow Community Comparison

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Immigrants from Asia
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/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
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Asia

Crow

Excellent
Fair
8,277
SOCIAL INDEX
80.2/ 100
SOCIAL RATING
80th/ 347
SOCIAL RANK
2,555
SOCIAL INDEX
23.1/ 100
SOCIAL RATING
251st/ 347
SOCIAL RANK

Crow Integration in Immigrants from Asia Communities

The statistical analysis conducted on geographies consisting of 58,727,805 people shows no correlation between the proportion of Crow within Immigrant from Asia communities in the United States with a correlation coefficient (R) of 0.022. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is an increase of 0.000% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to an increase of 0.1 Crow.
Immigrants from Asia Integration in Crow Communities

Immigrants from Asia vs Crow Income

When considering income, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in householder income ages 45 - 64 years ($116,566 compared to $74,257, a difference of 57.0%), median household income ($99,933 compared to $63,681, a difference of 56.9%), and per capita income ($49,741 compared to $31,729, a difference of 56.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,379 compared to $47,012, a difference of 19.9%), median female earnings ($44,198 compared to $35,266, a difference of 25.3%), and householder income over 65 years ($67,594 compared to $49,234, a difference of 37.3%).
Immigrants from Asia vs Crow Income
Income MetricImmigrants from AsiaCrow
Per Capita Income
Exceptional
$49,741
Tragic
$31,729
Median Family Income
Exceptional
$118,291
Tragic
$76,605
Median Household Income
Exceptional
$99,933
Tragic
$63,681
Median Earnings
Exceptional
$53,310
Tragic
$38,707
Median Male Earnings
Exceptional
$63,240
Tragic
$42,434
Median Female Earnings
Exceptional
$44,198
Tragic
$35,266
Householder Age | Under 25 years
Exceptional
$56,379
Tragic
$47,012
Householder Age | 25 - 44 years
Exceptional
$110,787
Tragic
$71,337
Householder Age | 45 - 64 years
Exceptional
$116,566
Tragic
$74,257
Householder Age | Over 65 years
Exceptional
$67,594
Tragic
$49,234
Wage/Income Gap
Tragic
27.0%
Exceptional
19.1%

Immigrants from Asia vs Crow Poverty

When considering poverty, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in child poverty under the age of 5 (14.4% compared to 31.0%, a difference of 115.4%), single father poverty (14.7% compared to 30.3%, a difference of 105.5%), and single male poverty (11.4% compared to 23.3%, a difference of 104.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 15.9%, a difference of 30.6%), receiving food stamps (9.9% compared to 13.4%, a difference of 35.6%), and seniors poverty over the age of 65 (10.6% compared to 15.2%, a difference of 43.8%).
Immigrants from Asia vs Crow Poverty
Poverty MetricImmigrants from AsiaCrow
Poverty
Exceptional
11.2%
Tragic
20.7%
Families
Exceptional
7.9%
Tragic
16.1%
Males
Exceptional
10.2%
Tragic
19.1%
Females
Exceptional
12.2%
Tragic
22.1%
Females 18 to 24 years
Exceptional
18.6%
Tragic
33.2%
Females 25 to 34 years
Exceptional
11.6%
Tragic
22.7%
Children Under 5 years
Exceptional
14.4%
Tragic
31.0%
Children Under 16 years
Exceptional
13.8%
Tragic
26.0%
Boys Under 16 years
Exceptional
13.9%
Tragic
26.3%
Girls Under 16 years
Exceptional
14.1%
Tragic
26.4%
Single Males
Exceptional
11.4%
Tragic
23.3%
Single Females
Exceptional
18.6%
Tragic
32.4%
Single Fathers
Exceptional
14.7%
Tragic
30.3%
Single Mothers
Exceptional
26.3%
Tragic
38.6%
Married Couples
Exceptional
4.8%
Tragic
9.6%
Seniors Over 65 years
Excellent
10.6%
Tragic
15.2%
Seniors Over 75 years
Average
12.2%
Tragic
15.9%
Receiving Food Stamps
Exceptional
9.9%
Tragic
13.4%

Immigrants from Asia vs Crow Unemployment

When considering unemployment, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 15.7%, a difference of 254.3%), unemployment among seniors over 65 years (5.1% compared to 16.9%, a difference of 230.5%), and unemployment among ages 65 to 74 years (5.3% compared to 17.4%, a difference of 227.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 5.0%, a difference of 1.0%), unemployment among women with children ages 6 to 17 years (8.1% compared to 9.2%, a difference of 14.4%), and unemployment among ages 55 to 59 years (4.8% compared to 5.9%, a difference of 23.5%).
Immigrants from Asia vs Crow Unemployment
Unemployment MetricImmigrants from AsiaCrow
Unemployment
Excellent
5.1%
Tragic
11.1%
Males
Excellent
5.1%
Tragic
10.6%
Females
Good
5.2%
Tragic
12.1%
Youth < 25
Good
11.5%
Tragic
20.1%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
26.2%
Age | 20 to 24 years
Good
10.3%
Tragic
18.7%
Age | 25 to 29 years
Exceptional
6.3%
Tragic
15.4%
Age | 30 to 34 years
Exceptional
5.2%
Tragic
10.3%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
15.7%
Age | 45 to 54 years
Excellent
4.4%
Tragic
13.7%
Age | 55 to 59 years
Good
4.8%
Tragic
5.9%
Age | 60 to 64 years
Fair
4.9%
Tragic
5.0%
Age | 65 to 74 years
Good
5.3%
Tragic
17.4%
Seniors > 65
Good
5.1%
Tragic
16.9%
Seniors > 75
Exceptional
8.3%
Exceptional
5.9%
Women w/ Children < 6
Exceptional
6.8%
Tragic
14.6%
Women w/ Children 6 to 17
Exceptional
8.1%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.1%
Tragic
8.2%

Immigrants from Asia vs Crow Labor Participation

When considering labor participation, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 38.5%, a difference of 12.8%), in labor force | age 30-34 (85.0% compared to 75.9%, a difference of 12.0%), and in labor force | age 35-44 (84.5% compared to 76.5%, a difference of 10.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.6% compared to 76.9%, a difference of 4.5%), in labor force | age 45-54 (83.3% compared to 78.3%, a difference of 6.4%), and in labor force | age 25-29 (84.8% compared to 78.6%, a difference of 7.8%).
Immigrants from Asia vs Crow Labor Participation
Labor Participation MetricImmigrants from AsiaCrow
In Labor Force | Age > 16
Exceptional
66.1%
Tragic
60.8%
In Labor Force | Age 20-64
Exceptional
80.1%
Tragic
73.3%
In Labor Force | Age 16-19
Tragic
34.1%
Exceptional
38.5%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
76.9%
In Labor Force | Age 25-29
Good
84.8%
Tragic
78.6%
In Labor Force | Age 30-34
Excellent
85.0%
Tragic
75.9%
In Labor Force | Age 35-44
Good
84.5%
Tragic
76.5%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
78.3%

Immigrants from Asia vs Crow Family Structure

When considering family structure, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in single father households (2.1% compared to 3.5%, a difference of 68.5%), births to unmarried women (26.8% compared to 40.4%, a difference of 50.7%), and single mother households (5.6% compared to 7.4%, a difference of 32.9%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 65.3%, a difference of 1.2%), family households with children (28.8% compared to 27.4%, a difference of 5.4%), and average family size (3.27 compared to 3.82, a difference of 17.0%).
Immigrants from Asia vs Crow Family Structure
Family Structure MetricImmigrants from AsiaCrow
Family Households
Exceptional
66.1%
Exceptional
65.3%
Family Households with Children
Exceptional
28.8%
Fair
27.4%
Married-couple Households
Exceptional
49.1%
Tragic
41.4%
Average Family Size
Exceptional
3.27
Exceptional
3.82
Single Father Households
Exceptional
2.1%
Tragic
3.5%
Single Mother Households
Exceptional
5.6%
Tragic
7.4%
Currently Married
Exceptional
48.3%
Tragic
40.4%
Divorced or Separated
Exceptional
10.7%
Tragic
14.1%
Births to Unmarried Women
Exceptional
26.8%
Tragic
40.4%

Immigrants from Asia vs Crow Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 7.8%, a difference of 14.8%), 3 or more vehicles in household (20.2% compared to 22.5%, a difference of 11.0%), and no vehicles in household (10.9% compared to 11.0%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.3%, a difference of 0.030%), 2 or more vehicles in household (56.3% compared to 55.7%, a difference of 1.1%), and no vehicles in household (10.9% compared to 11.0%, a difference of 1.6%).
Immigrants from Asia vs Crow Vehicle Availability
Vehicle Availability MetricImmigrants from AsiaCrow
No Vehicles Available
Fair
10.9%
Poor
11.0%
1+ Vehicles Available
Fair
89.3%
Fair
89.3%
2+ Vehicles Available
Excellent
56.3%
Good
55.7%
3+ Vehicles Available
Excellent
20.2%
Exceptional
22.5%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.8%

Immigrants from Asia vs Crow Education Level

When considering education level, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in professional degree (5.5% compared to 3.2%, a difference of 74.3%), master's degree (18.4% compared to 10.6%, a difference of 73.2%), and doctorate degree (2.4% compared to 1.5%, a difference of 64.2%). Conversely, both communities are more comparable in terms of 11th grade (92.4% compared to 92.9%, a difference of 0.54%), high school diploma (89.3% compared to 88.4%, a difference of 0.95%), and 10th grade (93.4% compared to 94.7%, a difference of 1.4%).
Immigrants from Asia vs Crow Education Level
Education Level MetricImmigrants from AsiaCrow
No Schooling Completed
Tragic
2.4%
Exceptional
1.6%
Nursery School
Tragic
97.6%
Exceptional
99.7%
Kindergarten
Tragic
97.6%
Exceptional
99.7%
1st Grade
Tragic
97.5%
Exceptional
99.6%
2nd Grade
Tragic
97.5%
Exceptional
99.6%
3rd Grade
Tragic
97.4%
Exceptional
99.6%
4th Grade
Tragic
97.1%
Exceptional
99.6%
5th Grade
Tragic
96.9%
Exceptional
99.5%
6th Grade
Tragic
96.6%
Exceptional
99.4%
7th Grade
Tragic
95.5%
Exceptional
99.1%
8th Grade
Tragic
95.2%
Exceptional
99.0%
9th Grade
Tragic
94.4%
Exceptional
96.1%
10th Grade
Poor
93.4%
Exceptional
94.7%
11th Grade
Fair
92.4%
Excellent
92.9%
12th Grade, No Diploma
Good
91.3%
Tragic
90.0%
High School Diploma
Average
89.3%
Poor
88.4%
GED/Equivalency
Excellent
86.6%
Tragic
83.8%
College, Under 1 year
Exceptional
69.2%
Tragic
60.2%
College, 1 year or more
Exceptional
64.0%
Tragic
54.5%
Associate's Degree
Exceptional
52.0%
Tragic
37.6%
Bachelor's Degree
Exceptional
44.3%
Tragic
27.7%
Master's Degree
Exceptional
18.4%
Tragic
10.6%
Professional Degree
Exceptional
5.5%
Tragic
3.2%
Doctorate Degree
Exceptional
2.4%
Tragic
1.5%

Immigrants from Asia vs Crow Disability

When considering disability, the most significant differences between Immigrants from Asia and Crow communities in the United States are seen in disability age 35 to 64 (9.5% compared to 14.6%, a difference of 54.2%), hearing disability (2.7% compared to 4.2%, a difference of 51.7%), and disability age 18 to 34 (5.9% compared to 8.3%, a difference of 41.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 17.3%, a difference of 3.2%), disability age over 75 (47.0% compared to 49.6%, a difference of 5.5%), and self-care disability (2.4% compared to 2.5%, a difference of 6.4%).
Immigrants from Asia vs Crow Disability
Disability MetricImmigrants from AsiaCrow
Disability
Exceptional
10.5%
Tragic
12.9%
Males
Exceptional
10.0%
Tragic
13.1%
Females
Exceptional
11.0%
Tragic
12.7%
Age | Under 5 years
Exceptional
1.1%
Average
1.2%
Age | 5 to 17 years
Exceptional
4.8%
Exceptional
5.4%
Age | 18 to 34 years
Exceptional
5.9%
Tragic
8.3%
Age | 35 to 64 years
Exceptional
9.5%
Tragic
14.6%
Age | 65 to 74 years
Exceptional
21.5%
Tragic
27.9%
Age | Over 75 years
Good
47.0%
Tragic
49.6%
Vision
Exceptional
1.9%
Tragic
2.5%
Hearing
Exceptional
2.7%
Tragic
4.2%
Cognitive
Exceptional
16.8%
Fair
17.3%
Ambulatory
Exceptional
5.5%
Tragic
6.9%
Self-Care
Exceptional
2.4%
Poor
2.5%