English vs Asian Community Comparison

COMPARE

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

English

Asians

Good
Excellent
6,730
SOCIAL INDEX
64.8/ 100
SOCIAL RATING
146th/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK

Asian Integration in English Communities

The statistical analysis conducted on geographies consisting of 548,264,471 people shows a weak negative correlation between the proportion of Asians within English communities in the United States with a correlation coefficient (R) of -0.272. On average, for every 1% (one percent) increase in English within a typical geography, there is a decrease of 0.058% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 English corresponds to a decrease of 57.8 Asians.
English Integration in Asian Communities

English vs Asian Income

When considering income, the most significant differences between English and Asian communities in the United States are seen in median household income ($84,915 compared to $101,681, a difference of 19.8%), householder income ages 25 - 44 years ($94,429 compared to $112,666, a difference of 19.3%), and median female earnings ($38,196 compared to $44,586, a difference of 16.7%). Conversely, both communities are more comparable in terms of wage/income gap (29.5% compared to 26.9%, a difference of 9.4%), householder income over 65 years ($61,487 compared to $68,822, a difference of 11.9%), and householder income under 25 years ($50,805 compared to $57,003, a difference of 12.2%).
English vs Asian Income
Income MetricEnglishAsian
Per Capita Income
Average
$43,982
Exceptional
$50,057
Median Family Income
Good
$103,684
Exceptional
$119,955
Median Household Income
Average
$84,915
Exceptional
$101,681
Median Earnings
Average
$46,334
Exceptional
$53,690
Median Male Earnings
Good
$55,747
Exceptional
$63,827
Median Female Earnings
Tragic
$38,196
Exceptional
$44,586
Householder Age | Under 25 years
Tragic
$50,805
Exceptional
$57,003
Householder Age | 25 - 44 years
Average
$94,429
Exceptional
$112,666
Householder Age | 45 - 64 years
Good
$102,021
Exceptional
$118,426
Householder Age | Over 65 years
Good
$61,487
Exceptional
$68,822
Wage/Income Gap
Tragic
29.5%
Tragic
26.9%

English vs Asian Poverty

When considering poverty, the most significant differences between English and Asian communities in the United States are seen in single male poverty (14.1% compared to 11.2%, a difference of 25.5%), single father poverty (17.8% compared to 14.6%, a difference of 22.3%), and female poverty among 25-34 year olds (13.9% compared to 11.4%, a difference of 21.9%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 9.7%, a difference of 0.78%), family poverty (7.9% compared to 7.7%, a difference of 2.0%), and male poverty (10.3% compared to 10.0%, a difference of 2.7%).
English vs Asian Poverty
Poverty MetricEnglishAsian
Poverty
Exceptional
11.3%
Exceptional
11.0%
Families
Exceptional
7.9%
Exceptional
7.7%
Males
Exceptional
10.3%
Exceptional
10.0%
Females
Exceptional
12.4%
Exceptional
11.9%
Females 18 to 24 years
Poor
20.5%
Exceptional
18.2%
Females 25 to 34 years
Fair
13.9%
Exceptional
11.4%
Children Under 5 years
Good
16.8%
Exceptional
14.0%
Children Under 16 years
Exceptional
14.9%
Exceptional
13.5%
Boys Under 16 years
Exceptional
15.1%
Exceptional
13.5%
Girls Under 16 years
Exceptional
15.3%
Exceptional
13.7%
Single Males
Tragic
14.1%
Exceptional
11.2%
Single Females
Tragic
21.9%
Exceptional
18.3%
Single Fathers
Tragic
17.8%
Exceptional
14.6%
Single Mothers
Tragic
30.2%
Exceptional
26.0%
Married Couples
Exceptional
4.2%
Exceptional
4.7%
Seniors Over 65 years
Exceptional
9.1%
Excellent
10.4%
Seniors Over 75 years
Exceptional
10.4%
Good
12.0%
Receiving Food Stamps
Exceptional
9.8%
Exceptional
9.7%

English vs Asian Unemployment

When considering unemployment, the most significant differences between English and Asian communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.3%, a difference of 22.0%), unemployment among women with children under 6 years (8.0% compared to 6.7%, a difference of 19.4%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.0%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.15%), unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 1.3%), and unemployment among women with children under 18 years (5.0% compared to 5.1%, a difference of 1.7%).
English vs Asian Unemployment
Unemployment MetricEnglishAsian
Unemployment
Exceptional
4.6%
Excellent
5.1%
Males
Exceptional
4.8%
Exceptional
5.1%
Females
Exceptional
4.6%
Good
5.2%
Youth < 25
Exceptional
10.8%
Good
11.4%
Age | 16 to 19 years
Exceptional
16.1%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.8%
Good
10.2%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.3%
Age | 30 to 34 years
Average
5.4%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.1%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.5%
Average
4.9%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.3%
Seniors > 65
Exceptional
4.9%
Excellent
5.1%
Seniors > 75
Tragic
10.1%
Exceptional
8.3%
Women w/ Children < 6
Tragic
8.0%
Exceptional
6.7%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
5.1%

English vs Asian Labor Participation

When considering labor participation, the most significant differences between English and Asian communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 34.1%, a difference of 24.4%), in labor force | age 20-24 (77.6% compared to 73.7%, a difference of 5.3%), and in labor force | age > 16 (63.7% compared to 66.2%, a difference of 3.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.8%, a difference of 0.43%), in labor force | age 35-44 (83.8% compared to 84.7%, a difference of 1.0%), and in labor force | age 30-34 (84.0% compared to 85.1%, a difference of 1.2%).
English vs Asian Labor Participation
Labor Participation MetricEnglishAsian
In Labor Force | Age > 16
Tragic
63.7%
Exceptional
66.2%
In Labor Force | Age 20-64
Tragic
78.8%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
42.4%
Tragic
34.1%
In Labor Force | Age 20-24
Exceptional
77.6%
Tragic
73.7%
In Labor Force | Age 25-29
Fair
84.5%
Good
84.8%
In Labor Force | Age 30-34
Tragic
84.0%
Exceptional
85.1%
In Labor Force | Age 35-44
Tragic
83.8%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
82.2%
Exceptional
83.4%

English vs Asian Family Structure

When considering family structure, the most significant differences between English and Asian communities in the United States are seen in divorced or separated (12.6% compared to 10.6%, a difference of 18.6%), births to unmarried women (31.7% compared to 26.8%, a difference of 18.5%), and single father households (2.3% compared to 2.1%, a difference of 9.7%). Conversely, both communities are more comparable in terms of married-couple households (49.6% compared to 49.5%, a difference of 0.33%), family households (65.1% compared to 66.5%, a difference of 2.2%), and currently married (49.7% compared to 48.4%, a difference of 2.7%).
English vs Asian Family Structure
Family Structure MetricEnglishAsian
Family Households
Exceptional
65.1%
Exceptional
66.5%
Family Households with Children
Fair
27.3%
Exceptional
29.1%
Married-couple Households
Exceptional
49.6%
Exceptional
49.5%
Average Family Size
Tragic
3.11
Exceptional
3.28
Single Father Households
Good
2.3%
Exceptional
2.1%
Single Mother Households
Exceptional
5.8%
Exceptional
5.6%
Currently Married
Exceptional
49.7%
Exceptional
48.4%
Divorced or Separated
Tragic
12.6%
Exceptional
10.6%
Births to Unmarried Women
Average
31.7%
Exceptional
26.8%

English vs Asian Vehicle Availability

When considering vehicle availability, the most significant differences between English and Asian communities in the United States are seen in no vehicles in household (6.5% compared to 9.0%, a difference of 37.9%), 3 or more vehicles in household (23.1% compared to 20.8%, a difference of 11.1%), and 4 or more vehicles in household (7.6% compared to 7.0%, a difference of 8.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.8% compared to 91.1%, a difference of 3.0%), 2 or more vehicles in household (61.9% compared to 57.0%, a difference of 8.6%), and 4 or more vehicles in household (7.6% compared to 7.0%, a difference of 8.8%).
English vs Asian Vehicle Availability
Vehicle Availability MetricEnglishAsian
No Vehicles Available
Exceptional
6.5%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
93.8%
Exceptional
91.1%
2+ Vehicles Available
Exceptional
61.9%
Exceptional
57.0%
3+ Vehicles Available
Exceptional
23.1%
Exceptional
20.8%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.0%

English vs Asian Education Level

When considering education level, the most significant differences between English and Asian communities in the United States are seen in no schooling completed (1.4% compared to 2.4%, a difference of 73.1%), doctorate degree (1.9% compared to 2.4%, a difference of 26.8%), and professional degree (4.4% compared to 5.5%, a difference of 25.0%). Conversely, both communities are more comparable in terms of ged/equivalency (87.6% compared to 86.7%, a difference of 1.0%), nursery school (98.7% compared to 97.6%, a difference of 1.1%), and kindergarten (98.7% compared to 97.6%, a difference of 1.1%).
English vs Asian Education Level
Education Level MetricEnglishAsian
No Schooling Completed
Exceptional
1.4%
Tragic
2.4%
Nursery School
Exceptional
98.7%
Tragic
97.6%
Kindergarten
Exceptional
98.7%
Tragic
97.6%
1st Grade
Exceptional
98.6%
Tragic
97.6%
2nd Grade
Exceptional
98.6%
Tragic
97.5%
3rd Grade
Exceptional
98.6%
Tragic
97.4%
4th Grade
Exceptional
98.4%
Tragic
97.1%
5th Grade
Exceptional
98.3%
Tragic
96.9%
6th Grade
Exceptional
98.1%
Tragic
96.6%
7th Grade
Exceptional
97.6%
Tragic
95.5%
8th Grade
Exceptional
97.3%
Tragic
95.2%
9th Grade
Exceptional
96.6%
Tragic
94.5%
10th Grade
Exceptional
95.6%
Fair
93.5%
11th Grade
Exceptional
94.4%
Average
92.5%
12th Grade, No Diploma
Exceptional
93.0%
Good
91.4%
High School Diploma
Exceptional
91.4%
Good
89.4%
GED/Equivalency
Exceptional
87.6%
Exceptional
86.7%
College, Under 1 year
Excellent
66.6%
Exceptional
69.4%
College, 1 year or more
Good
60.0%
Exceptional
64.2%
Associate's Degree
Average
46.4%
Exceptional
52.1%
Bachelor's Degree
Fair
37.4%
Exceptional
44.4%
Master's Degree
Average
14.8%
Exceptional
18.4%
Professional Degree
Average
4.4%
Exceptional
5.5%
Doctorate Degree
Good
1.9%
Exceptional
2.4%

English vs Asian Disability

When considering disability, the most significant differences between English and Asian communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 53.9%), hearing disability (3.8% compared to 2.7%, a difference of 37.9%), and disability age 18 to 34 (7.8% compared to 5.8%, a difference of 33.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.7%, a difference of 0.060%), disability age over 75 (46.8% compared to 46.9%, a difference of 0.36%), and self-care disability (2.5% compared to 2.3%, a difference of 6.2%).
English vs Asian Disability
Disability MetricEnglishAsian
Disability
Tragic
13.0%
Exceptional
10.4%
Males
Tragic
12.8%
Exceptional
10.0%
Females
Tragic
13.1%
Exceptional
10.9%
Age | Under 5 years
Tragic
1.7%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.2%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.8%
Exceptional
5.8%
Age | 35 to 64 years
Tragic
12.4%
Exceptional
9.4%
Age | 65 to 74 years
Fair
23.6%
Exceptional
21.4%
Age | Over 75 years
Excellent
46.8%
Excellent
46.9%
Vision
Tragic
2.3%
Exceptional
1.9%
Hearing
Tragic
3.8%
Exceptional
2.7%
Cognitive
Exceptional
16.8%
Exceptional
16.7%
Ambulatory
Tragic
6.6%
Exceptional
5.4%
Self-Care
Average
2.5%
Exceptional
2.3%