Asian vs European Community Comparison

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Asian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianFijianFilipinoFinnishFrenchFrench 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
European
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
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

Asians

Europeans

Excellent
Good
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
8,117
SOCIAL INDEX
78.6/ 100
SOCIAL RATING
87th/ 347
SOCIAL RANK

European Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 538,567,729 people shows a strong negative correlation between the proportion of Europeans within Asian communities in the United States with a correlation coefficient (R) of -0.736. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.022% in Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 22.1 Europeans.
Asian Integration in European Communities

Asian vs European Income

When considering income, the most significant differences between Asian and European communities in the United States are seen in householder income ages 25 - 44 years ($112,666 compared to $98,310, a difference of 14.6%), median household income ($101,681 compared to $88,751, a difference of 14.6%), and median female earnings ($44,586 compared to $39,457, a difference of 13.0%). Conversely, both communities are more comparable in terms of householder income over 65 years ($68,822 compared to $63,779, a difference of 7.9%), wage/income gap (26.9% compared to 29.4%, a difference of 9.1%), and per capita income ($50,057 compared to $45,836, a difference of 9.2%).
Asian vs European Income
Income MetricAsianEuropean
Per Capita Income
Exceptional
$50,057
Exceptional
$45,836
Median Family Income
Exceptional
$119,955
Exceptional
$108,099
Median Household Income
Exceptional
$101,681
Exceptional
$88,751
Median Earnings
Exceptional
$53,690
Excellent
$47,915
Median Male Earnings
Exceptional
$63,827
Exceptional
$57,637
Median Female Earnings
Exceptional
$44,586
Fair
$39,457
Householder Age | Under 25 years
Exceptional
$57,003
Fair
$51,796
Householder Age | 25 - 44 years
Exceptional
$112,666
Excellent
$98,310
Householder Age | 45 - 64 years
Exceptional
$118,426
Exceptional
$106,367
Householder Age | Over 65 years
Exceptional
$68,822
Exceptional
$63,779
Wage/Income Gap
Tragic
26.9%
Tragic
29.4%

Asian vs European Poverty

When considering poverty, the most significant differences between Asian and European communities in the United States are seen in single male poverty (11.2% compared to 13.3%, a difference of 18.3%), female poverty among 25-34 year olds (11.4% compared to 13.2%, a difference of 15.6%), and single female poverty (18.3% compared to 21.1%, a difference of 15.5%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 7.7%, a difference of 0.040%), receiving food stamps (9.7% compared to 9.5%, a difference of 2.0%), and male poverty (10.0% compared to 10.2%, a difference of 2.2%).
Asian vs European Poverty
Poverty MetricAsianEuropean
Poverty
Exceptional
11.0%
Exceptional
11.3%
Families
Exceptional
7.7%
Exceptional
7.7%
Males
Exceptional
10.0%
Exceptional
10.2%
Females
Exceptional
11.9%
Exceptional
12.3%
Females 18 to 24 years
Exceptional
18.2%
Poor
20.4%
Females 25 to 34 years
Exceptional
11.4%
Good
13.2%
Children Under 5 years
Exceptional
14.0%
Exceptional
15.9%
Children Under 16 years
Exceptional
13.5%
Exceptional
14.3%
Boys Under 16 years
Exceptional
13.5%
Exceptional
14.5%
Girls Under 16 years
Exceptional
13.7%
Exceptional
14.6%
Single Males
Exceptional
11.2%
Tragic
13.3%
Single Females
Exceptional
18.3%
Average
21.1%
Single Fathers
Exceptional
14.6%
Poor
16.6%
Single Mothers
Exceptional
26.0%
Average
29.1%
Married Couples
Exceptional
4.7%
Exceptional
4.2%
Seniors Over 65 years
Excellent
10.4%
Exceptional
9.2%
Seniors Over 75 years
Good
12.0%
Exceptional
10.5%
Receiving Food Stamps
Exceptional
9.7%
Exceptional
9.5%

Asian vs European Unemployment

When considering unemployment, the most significant differences between Asian and European communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 9.7%, a difference of 17.1%), unemployment among women with children under 6 years (6.7% compared to 7.5%, a difference of 12.0%), and female unemployment (5.2% compared to 4.7%, a difference of 10.0%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 2.1%), unemployment among ages 30 to 34 years (5.1% compared to 5.2%, a difference of 2.1%), and unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 2.4%).
Asian vs European Unemployment
Unemployment MetricAsianEuropean
Unemployment
Excellent
5.1%
Exceptional
4.6%
Males
Exceptional
5.1%
Exceptional
4.8%
Females
Good
5.2%
Exceptional
4.7%
Youth < 25
Good
11.4%
Exceptional
10.8%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.1%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.7%
Age | 25 to 29 years
Exceptional
6.3%
Excellent
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.1%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.5%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
5.3%
Exceptional
5.1%
Seniors > 65
Excellent
5.1%
Exceptional
4.9%
Seniors > 75
Exceptional
8.3%
Tragic
9.7%
Women w/ Children < 6
Exceptional
6.7%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.7%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.9%

Asian vs European Labor Participation

When considering labor participation, the most significant differences between Asian and European communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 41.1%, a difference of 20.8%), in labor force | age 20-24 (73.7% compared to 77.1%, a difference of 4.6%), and in labor force | age > 16 (66.2% compared to 64.7%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.6%, a difference of 0.30%), in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.69%), and in labor force | age 30-34 (85.1% compared to 84.3%, a difference of 0.92%).
Asian vs European Labor Participation
Labor Participation MetricAsianEuropean
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.2%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.1%
Exceptional
41.1%
In Labor Force | Age 20-24
Tragic
73.7%
Exceptional
77.1%
In Labor Force | Age 25-29
Good
84.8%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.4%
Fair
82.6%

Asian vs European Family Structure

When considering family structure, the most significant differences between Asian and European communities in the United States are seen in divorced or separated (10.6% compared to 12.2%, a difference of 15.0%), births to unmarried women (26.8% compared to 30.2%, a difference of 12.9%), and single father households (2.1% compared to 2.3%, a difference of 8.4%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.6%, a difference of 0.17%), currently married (48.4% compared to 49.3%, a difference of 1.9%), and single mother households (5.6% compared to 5.7%, a difference of 2.2%).
Asian vs European Family Structure
Family Structure MetricAsianEuropean
Family Households
Exceptional
66.5%
Exceptional
65.0%
Family Households with Children
Exceptional
29.1%
Exceptional
27.9%
Married-couple Households
Exceptional
49.5%
Exceptional
49.6%
Average Family Size
Exceptional
3.28
Tragic
3.14
Single Father Households
Exceptional
2.1%
Excellent
2.3%
Single Mother Households
Exceptional
5.6%
Exceptional
5.7%
Currently Married
Exceptional
48.4%
Exceptional
49.3%
Divorced or Separated
Exceptional
10.6%
Poor
12.2%
Births to Unmarried Women
Exceptional
26.8%
Excellent
30.2%

Asian vs European Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and European communities in the United States are seen in no vehicles in household (9.0% compared to 7.1%, a difference of 26.1%), 3 or more vehicles in household (20.8% compared to 22.9%, a difference of 10.1%), and 4 or more vehicles in household (7.0% compared to 7.6%, a difference of 8.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 93.0%, a difference of 2.1%), 2 or more vehicles in household (57.0% compared to 61.4%, a difference of 7.7%), and 4 or more vehicles in household (7.0% compared to 7.6%, a difference of 8.3%).
Asian vs European Vehicle Availability
Vehicle Availability MetricAsianEuropean
No Vehicles Available
Exceptional
9.0%
Exceptional
7.1%
1+ Vehicles Available
Exceptional
91.1%
Exceptional
93.0%
2+ Vehicles Available
Exceptional
57.0%
Exceptional
61.4%
3+ Vehicles Available
Exceptional
20.8%
Exceptional
22.9%
4+ Vehicles Available
Exceptional
7.0%
Exceptional
7.6%

Asian vs European Education Level

When considering education level, the most significant differences between Asian and European communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 62.3%), master's degree (18.4% compared to 15.8%, a difference of 16.7%), and doctorate degree (2.4% compared to 2.1%, a difference of 16.6%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 0.97%), kindergarten (97.6% compared to 98.6%, a difference of 0.98%), and 1st grade (97.6% compared to 98.5%, a difference of 0.99%).
Asian vs European Education Level
Education Level MetricAsianEuropean
No Schooling Completed
Tragic
2.4%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.6%
Kindergarten
Tragic
97.6%
Exceptional
98.6%
1st Grade
Tragic
97.6%
Exceptional
98.5%
2nd Grade
Tragic
97.5%
Exceptional
98.5%
3rd Grade
Tragic
97.4%
Exceptional
98.4%
4th Grade
Tragic
97.1%
Exceptional
98.3%
5th Grade
Tragic
96.9%
Exceptional
98.2%
6th Grade
Tragic
96.6%
Exceptional
98.0%
7th Grade
Tragic
95.5%
Exceptional
97.3%
8th Grade
Tragic
95.2%
Exceptional
97.1%
9th Grade
Tragic
94.5%
Exceptional
96.4%
10th Grade
Fair
93.5%
Exceptional
95.5%
11th Grade
Average
92.5%
Exceptional
94.4%
12th Grade, No Diploma
Good
91.4%
Exceptional
93.1%
High School Diploma
Good
89.4%
Exceptional
91.4%
GED/Equivalency
Exceptional
86.7%
Exceptional
87.9%
College, Under 1 year
Exceptional
69.4%
Exceptional
68.2%
College, 1 year or more
Exceptional
64.2%
Exceptional
61.8%
Associate's Degree
Exceptional
52.1%
Excellent
48.2%
Bachelor's Degree
Exceptional
44.4%
Excellent
39.5%
Master's Degree
Exceptional
18.4%
Excellent
15.8%
Professional Degree
Exceptional
5.5%
Exceptional
4.8%
Doctorate Degree
Exceptional
2.4%
Exceptional
2.1%

Asian vs European Disability

When considering disability, the most significant differences between Asian and European communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 40.1%), hearing disability (2.7% compared to 3.5%, a difference of 28.3%), and disability age 18 to 34 (5.8% compared to 7.4%, a difference of 27.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 46.7%, a difference of 0.48%), cognitive disability (16.7% compared to 17.0%, a difference of 1.2%), and self-care disability (2.3% compared to 2.4%, a difference of 2.1%).
Asian vs European Disability
Disability MetricAsianEuropean
Disability
Exceptional
10.4%
Tragic
12.3%
Males
Exceptional
10.0%
Tragic
12.1%
Females
Exceptional
10.9%
Poor
12.4%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
9.4%
Poor
11.7%
Age | 65 to 74 years
Exceptional
21.4%
Good
23.2%
Age | Over 75 years
Excellent
46.9%
Exceptional
46.7%
Vision
Exceptional
1.9%
Fair
2.2%
Hearing
Exceptional
2.7%
Tragic
3.5%
Cognitive
Exceptional
16.7%
Exceptional
17.0%
Ambulatory
Exceptional
5.4%
Fair
6.2%
Self-Care
Exceptional
2.3%
Exceptional
2.4%