Chinese vs White/Caucasian Community Comparison

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Chinese
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
White/Caucasian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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 LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chinese

Whites/Caucasians

Exceptional
Average
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
5,140
SOCIAL INDEX
48.9/ 100
SOCIAL RATING
185th/ 347
SOCIAL RANK

White/Caucasian Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 64,809,883 people shows a slight negative correlation between the proportion of Whites/Caucasians within Chinese communities in the United States with a correlation coefficient (R) of -0.054. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.774% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 774.2 Whites/Caucasians.
Chinese Integration in White/Caucasian Communities

Chinese vs White/Caucasian Income

When considering income, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in householder income over 65 years ($77,465 compared to $58,847, a difference of 31.6%), median household income ($98,496 compared to $82,029, a difference of 20.1%), and householder income ages 45 - 64 years ($116,156 compared to $98,091, a difference of 18.4%). Conversely, both communities are more comparable in terms of median male earnings ($56,872 compared to $53,925, a difference of 5.5%), median earnings ($48,836 compared to $45,197, a difference of 8.1%), and per capita income ($46,098 compared to $42,180, a difference of 9.3%).
Chinese vs White/Caucasian Income
Income MetricChineseWhite/Caucasian
Per Capita Income
Exceptional
$46,098
Poor
$42,180
Median Family Income
Exceptional
$116,188
Poor
$99,800
Median Household Income
Exceptional
$98,496
Poor
$82,029
Median Earnings
Exceptional
$48,836
Poor
$45,197
Median Male Earnings
Exceptional
$56,872
Fair
$53,925
Median Female Earnings
Exceptional
$41,461
Tragic
$37,531
Householder Age | Under 25 years
Exceptional
$58,162
Tragic
$50,336
Householder Age | 25 - 44 years
Exceptional
$104,264
Poor
$91,668
Householder Age | 45 - 64 years
Exceptional
$116,156
Fair
$98,091
Householder Age | Over 65 years
Exceptional
$77,465
Tragic
$58,847
Wage/Income Gap
Average
25.9%
Tragic
28.5%

Chinese vs White/Caucasian Poverty

When considering poverty, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in single female poverty (16.1% compared to 22.7%, a difference of 40.7%), child poverty among boys under 16 (11.9% compared to 16.5%, a difference of 38.8%), and child poverty under the age of 5 (13.1% compared to 18.1%, a difference of 38.6%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 11.1%, a difference of 13.2%), single father poverty (15.4% compared to 18.4%, a difference of 19.2%), and seniors poverty over the age of 65 (8.3% compared to 10.0%, a difference of 20.5%).
Chinese vs White/Caucasian Poverty
Poverty MetricChineseWhite/Caucasian
Poverty
Exceptional
9.5%
Average
12.3%
Families
Exceptional
6.5%
Good
8.8%
Males
Exceptional
8.7%
Average
11.1%
Females
Exceptional
10.4%
Average
13.4%
Females 18 to 24 years
Exceptional
16.2%
Tragic
20.8%
Females 25 to 34 years
Exceptional
11.0%
Tragic
14.7%
Children Under 5 years
Exceptional
13.1%
Poor
18.1%
Children Under 16 years
Exceptional
11.9%
Average
16.2%
Boys Under 16 years
Exceptional
11.9%
Average
16.5%
Girls Under 16 years
Exceptional
12.3%
Average
16.6%
Single Males
Exceptional
11.0%
Tragic
14.5%
Single Females
Exceptional
16.1%
Tragic
22.7%
Single Fathers
Exceptional
15.4%
Tragic
18.4%
Single Mothers
Exceptional
24.6%
Tragic
31.2%
Married Couples
Exceptional
3.6%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
10.0%
Seniors Over 75 years
Exceptional
9.1%
Exceptional
11.4%
Receiving Food Stamps
Exceptional
9.8%
Excellent
11.1%

Chinese vs White/Caucasian Unemployment

When considering unemployment, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 10.1%, a difference of 70.3%), unemployment among women with children under 6 years (6.8% compared to 8.4%, a difference of 23.0%), and unemployment among seniors over 65 years (4.2% compared to 5.1%, a difference of 21.0%). Conversely, both communities are more comparable in terms of male unemployment (4.9% compared to 5.0%, a difference of 2.1%), unemployment among women with children ages 6 to 17 years (9.3% compared to 9.6%, a difference of 4.2%), and unemployment among youth under 25 years (10.7% compared to 11.2%, a difference of 4.5%).
Chinese vs White/Caucasian Unemployment
Unemployment MetricChineseWhite/Caucasian
Unemployment
Exceptional
4.7%
Exceptional
4.9%
Males
Exceptional
4.9%
Exceptional
5.0%
Females
Exceptional
4.5%
Exceptional
4.9%
Youth < 25
Exceptional
10.7%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.0%
Exceptional
16.8%
Age | 20 to 24 years
Exceptional
9.4%
Excellent
10.1%
Age | 25 to 29 years
Exceptional
6.1%
Poor
6.9%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
5.7%
Age | 35 to 44 years
Exceptional
4.3%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.0%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.0%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
4.4%
Average
5.4%
Seniors > 65
Exceptional
4.2%
Excellent
5.1%
Seniors > 75
Exceptional
5.9%
Tragic
10.1%
Women w/ Children < 6
Exceptional
6.8%
Tragic
8.4%
Women w/ Children 6 to 17
Tragic
9.3%
Tragic
9.6%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.3%

Chinese vs White/Caucasian Labor Participation

When considering labor participation, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 41.3%, a difference of 7.0%), in labor force | age 45-54 (84.1% compared to 81.9%, a difference of 2.8%), and in labor force | age 20-64 (80.7% compared to 78.5%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.2%, a difference of 0.19%), in labor force | age 20-24 (77.3% compared to 76.9%, a difference of 0.44%), and in labor force | age 30-34 (85.0% compared to 83.9%, a difference of 1.3%).
Chinese vs White/Caucasian Labor Participation
Labor Participation MetricChineseWhite/Caucasian
In Labor Force | Age > 16
Tragic
64.7%
Tragic
63.6%
In Labor Force | Age 20-64
Exceptional
80.7%
Tragic
78.5%
In Labor Force | Age 16-19
Exceptional
38.6%
Exceptional
41.3%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
76.9%
In Labor Force | Age 25-29
Poor
84.3%
Tragic
84.2%
In Labor Force | Age 30-34
Excellent
85.0%
Tragic
83.9%
In Labor Force | Age 35-44
Exceptional
85.1%
Tragic
83.6%
In Labor Force | Age 45-54
Exceptional
84.1%
Tragic
81.9%

Chinese vs White/Caucasian Family Structure

When considering family structure, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in single father households (2.0% compared to 2.4%, a difference of 21.2%), single mother households (5.2% compared to 6.1%, a difference of 18.3%), and divorced or separated (11.2% compared to 12.6%, a difference of 12.8%). Conversely, both communities are more comparable in terms of currently married (49.5% compared to 48.6%, a difference of 1.8%), married-couple households (50.4% compared to 48.6%, a difference of 3.6%), and family households (68.1% compared to 65.1%, a difference of 4.7%).
Chinese vs White/Caucasian Family Structure
Family Structure MetricChineseWhite/Caucasian
Family Households
Exceptional
68.1%
Exceptional
65.1%
Family Households with Children
Tragic
26.0%
Average
27.4%
Married-couple Households
Exceptional
50.4%
Exceptional
48.6%
Average Family Size
Exceptional
3.34
Tragic
3.14
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.2%
Good
6.1%
Currently Married
Exceptional
49.5%
Exceptional
48.6%
Divorced or Separated
Exceptional
11.2%
Tragic
12.6%
Births to Unmarried Women
Excellent
30.2%
Poor
33.3%

Chinese vs White/Caucasian Vehicle Availability

When considering vehicle availability, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 7.4%, a difference of 20.2%), no vehicles in household (8.2% compared to 7.0%, a difference of 16.9%), and 3 or more vehicles in household (23.9% compared to 22.6%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (60.1% compared to 60.8%, a difference of 1.2%), 1 or more vehicles in household (91.9% compared to 93.1%, a difference of 1.3%), and 3 or more vehicles in household (23.9% compared to 22.6%, a difference of 5.7%).
Chinese vs White/Caucasian Vehicle Availability
Vehicle Availability MetricChineseWhite/Caucasian
No Vehicles Available
Exceptional
8.2%
Exceptional
7.0%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
93.1%
2+ Vehicles Available
Exceptional
60.1%
Exceptional
60.8%
3+ Vehicles Available
Exceptional
23.9%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
8.8%
Exceptional
7.4%

Chinese vs White/Caucasian Education Level

When considering education level, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in no schooling completed (1.5% compared to 1.6%, a difference of 10.7%), associate's degree (48.5% compared to 44.2%, a difference of 9.9%), and professional degree (4.5% compared to 4.1%, a difference of 9.5%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.5%, a difference of 0.11%), 1st grade (98.5% compared to 98.4%, a difference of 0.11%), and kindergarten (98.5% compared to 98.4%, a difference of 0.12%).
Chinese vs White/Caucasian Education Level
Education Level MetricChineseWhite/Caucasian
No Schooling Completed
Exceptional
1.5%
Exceptional
1.6%
Nursery School
Exceptional
98.6%
Exceptional
98.5%
Kindergarten
Exceptional
98.5%
Exceptional
98.4%
1st Grade
Exceptional
98.5%
Exceptional
98.4%
2nd Grade
Exceptional
98.5%
Exceptional
98.4%
3rd Grade
Exceptional
98.4%
Exceptional
98.3%
4th Grade
Exceptional
98.3%
Exceptional
98.1%
5th Grade
Exceptional
98.1%
Exceptional
97.9%
6th Grade
Exceptional
97.9%
Exceptional
97.7%
7th Grade
Exceptional
97.1%
Exceptional
97.0%
8th Grade
Exceptional
96.9%
Exceptional
96.7%
9th Grade
Exceptional
96.3%
Exceptional
95.8%
10th Grade
Exceptional
95.5%
Exceptional
94.7%
11th Grade
Exceptional
94.6%
Exceptional
93.3%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
91.8%
High School Diploma
Exceptional
92.0%
Exceptional
90.1%
GED/Equivalency
Exceptional
89.0%
Good
86.2%
College, Under 1 year
Exceptional
68.3%
Poor
64.0%
College, 1 year or more
Exceptional
62.2%
Tragic
57.6%
Associate's Degree
Exceptional
48.5%
Tragic
44.2%
Bachelor's Degree
Good
38.5%
Tragic
35.3%
Master's Degree
Fair
14.6%
Tragic
13.8%
Professional Degree
Average
4.5%
Poor
4.1%
Doctorate Degree
Fair
1.8%
Fair
1.8%

Chinese vs White/Caucasian Disability

When considering disability, the most significant differences between Chinese and White/Caucasian communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 45.6%), disability age 5 to 17 (4.7% compared to 6.2%, a difference of 32.0%), and disability age 35 to 64 (10.3% compared to 12.6%, a difference of 22.6%). Conversely, both communities are more comparable in terms of hearing disability (3.7% compared to 3.7%, a difference of 0.13%), self-care disability (2.6% compared to 2.6%, a difference of 0.50%), and disability age over 75 (48.7% compared to 47.3%, a difference of 2.9%).
Chinese vs White/Caucasian Disability
Disability MetricChineseWhite/Caucasian
Disability
Tragic
12.2%
Tragic
13.0%
Males
Tragic
12.1%
Tragic
12.8%
Females
Fair
12.3%
Tragic
13.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
6.2%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
7.6%
Age | 35 to 64 years
Exceptional
10.3%
Tragic
12.6%
Age | 65 to 74 years
Exceptional
21.7%
Tragic
24.2%
Age | Over 75 years
Tragic
48.7%
Average
47.3%
Vision
Exceptional
2.0%
Tragic
2.4%
Hearing
Tragic
3.7%
Tragic
3.7%
Cognitive
Exceptional
15.9%
Exceptional
17.0%
Ambulatory
Tragic
6.5%
Tragic
6.7%
Self-Care
Tragic
2.6%
Tragic
2.6%