Japanese vs Chinese Community Comparison

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Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Japanese

Chinese

Fair
Exceptional
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 55,850,103 people shows a moderate positive correlation between the proportion of Chinese within Japanese communities in the United States with a correlation coefficient (R) of 0.480. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is an increase of 0.017% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to an increase of 17.0 Chinese.
Japanese Integration in Chinese Communities

Japanese vs Chinese Income

When considering income, the most significant differences between Japanese and Chinese communities in the United States are seen in householder income over 65 years ($57,919 compared to $77,465, a difference of 33.8%), householder income ages 45 - 64 years ($96,834 compared to $116,156, a difference of 20.0%), and median family income ($97,288 compared to $116,188, a difference of 19.4%). Conversely, both communities are more comparable in terms of median female earnings ($38,528 compared to $41,461, a difference of 7.6%), wage/income gap (23.8% compared to 25.9%, a difference of 8.9%), and median earnings ($44,825 compared to $48,836, a difference of 8.9%).
Japanese vs Chinese Income
Income MetricJapaneseChinese
Per Capita Income
Tragic
$39,870
Exceptional
$46,098
Median Family Income
Tragic
$97,288
Exceptional
$116,188
Median Household Income
Fair
$83,395
Exceptional
$98,496
Median Earnings
Tragic
$44,825
Exceptional
$48,836
Median Male Earnings
Tragic
$51,473
Exceptional
$56,872
Median Female Earnings
Tragic
$38,528
Exceptional
$41,461
Householder Age | Under 25 years
Good
$52,365
Exceptional
$58,162
Householder Age | 25 - 44 years
Poor
$91,624
Exceptional
$104,264
Householder Age | 45 - 64 years
Poor
$96,834
Exceptional
$116,156
Householder Age | Over 65 years
Tragic
$57,919
Exceptional
$77,465
Wage/Income Gap
Exceptional
23.8%
Average
25.9%

Japanese vs Chinese Poverty

When considering poverty, the most significant differences between Japanese and Chinese communities in the United States are seen in married-couple family poverty (5.6% compared to 3.6%, a difference of 52.3%), family poverty (9.9% compared to 6.5%, a difference of 52.0%), and child poverty among boys under 16 (17.7% compared to 11.9%, a difference of 49.5%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.1%), female poverty among 18-24 year olds (18.8% compared to 16.2%, a difference of 16.5%), and single mother poverty (28.9% compared to 24.6%, a difference of 17.4%).
Japanese vs Chinese Poverty
Poverty MetricJapaneseChinese
Poverty
Tragic
13.3%
Exceptional
9.5%
Families
Tragic
9.9%
Exceptional
6.5%
Males
Tragic
12.2%
Exceptional
8.7%
Females
Tragic
14.5%
Exceptional
10.4%
Females 18 to 24 years
Exceptional
18.8%
Exceptional
16.2%
Females 25 to 34 years
Poor
14.1%
Exceptional
11.0%
Children Under 5 years
Poor
18.1%
Exceptional
13.1%
Children Under 16 years
Tragic
17.7%
Exceptional
11.9%
Boys Under 16 years
Tragic
17.7%
Exceptional
11.9%
Girls Under 16 years
Tragic
17.8%
Exceptional
12.3%
Single Males
Poor
13.1%
Exceptional
11.0%
Single Females
Fair
21.3%
Exceptional
16.1%
Single Fathers
Exceptional
15.2%
Exceptional
15.4%
Single Mothers
Good
28.9%
Exceptional
24.6%
Married Couples
Tragic
5.6%
Exceptional
3.6%
Seniors Over 65 years
Tragic
12.2%
Exceptional
8.3%
Seniors Over 75 years
Tragic
13.3%
Exceptional
9.1%
Receiving Food Stamps
Tragic
14.1%
Exceptional
9.8%

Japanese vs Chinese Unemployment

When considering unemployment, the most significant differences between Japanese and Chinese communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 5.9%, a difference of 40.7%), unemployment among ages 60 to 64 years (5.1% compared to 4.0%, a difference of 26.9%), and female unemployment (5.6% compared to 4.5%, a difference of 25.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 9.4%, a difference of 6.9%), unemployment among ages 55 to 59 years (4.8% compared to 4.4%, a difference of 9.2%), and unemployment among youth under 25 years (11.7% compared to 10.7%, a difference of 9.3%).
Japanese vs Chinese Unemployment
Unemployment MetricJapaneseChinese
Unemployment
Tragic
5.6%
Exceptional
4.7%
Males
Tragic
5.8%
Exceptional
4.9%
Females
Tragic
5.6%
Exceptional
4.5%
Youth < 25
Fair
11.7%
Exceptional
10.7%
Age | 16 to 19 years
Average
17.6%
Exceptional
16.0%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.4%
Age | 25 to 29 years
Tragic
6.9%
Exceptional
6.1%
Age | 30 to 34 years
Tragic
5.9%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
5.1%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.0%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.4%
Age | 60 to 64 years
Tragic
5.1%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.4%
Seniors > 65
Exceptional
4.9%
Exceptional
4.2%
Seniors > 75
Exceptional
8.3%
Exceptional
5.9%
Women w/ Children < 6
Good
7.5%
Exceptional
6.8%
Women w/ Children 6 to 17
Exceptional
8.4%
Tragic
9.3%
Women w/ Children < 18
Tragic
5.7%
Exceptional
4.9%

Japanese vs Chinese Labor Participation

When considering labor participation, the most significant differences between Japanese and Chinese communities in the United States are seen in in labor force | age 45-54 (81.6% compared to 84.1%, a difference of 3.1%), in labor force | age 16-19 (37.5% compared to 38.6%, a difference of 2.8%), and in labor force | age 20-24 (75.3% compared to 77.3%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.3%, a difference of 0.020%), in labor force | age 30-34 (84.3% compared to 85.0%, a difference of 0.79%), and in labor force | age > 16 (65.8% compared to 64.7%, a difference of 1.8%).
Japanese vs Chinese Labor Participation
Labor Participation MetricJapaneseChinese
In Labor Force | Age > 16
Exceptional
65.8%
Tragic
64.7%
In Labor Force | Age 20-64
Tragic
79.1%
Exceptional
80.7%
In Labor Force | Age 16-19
Excellent
37.5%
Exceptional
38.6%
In Labor Force | Age 20-24
Good
75.3%
Exceptional
77.3%
In Labor Force | Age 25-29
Poor
84.3%
Poor
84.3%
In Labor Force | Age 30-34
Tragic
84.3%
Excellent
85.0%
In Labor Force | Age 35-44
Tragic
83.6%
Exceptional
85.1%
In Labor Force | Age 45-54
Tragic
81.6%
Exceptional
84.1%

Japanese vs Chinese Family Structure

When considering family structure, the most significant differences between Japanese and Chinese communities in the United States are seen in single mother households (7.4% compared to 5.2%, a difference of 43.4%), single father households (2.8% compared to 2.0%, a difference of 39.6%), and births to unmarried women (35.2% compared to 30.2%, a difference of 16.3%). Conversely, both communities are more comparable in terms of average family size (3.35 compared to 3.34, a difference of 0.25%), family households (65.9% compared to 68.1%, a difference of 3.4%), and divorced or separated (12.0% compared to 11.2%, a difference of 7.0%).
Japanese vs Chinese Family Structure
Family Structure MetricJapaneseChinese
Family Households
Exceptional
65.9%
Exceptional
68.1%
Family Households with Children
Exceptional
29.4%
Tragic
26.0%
Married-couple Households
Tragic
45.2%
Exceptional
50.4%
Average Family Size
Exceptional
3.35
Exceptional
3.34
Single Father Households
Tragic
2.8%
Exceptional
2.0%
Single Mother Households
Tragic
7.4%
Exceptional
5.2%
Currently Married
Tragic
44.5%
Exceptional
49.5%
Divorced or Separated
Good
12.0%
Exceptional
11.2%
Births to Unmarried Women
Tragic
35.2%
Excellent
30.2%

Japanese vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Chinese communities in the United States are seen in 4 or more vehicles in household (7.7% compared to 8.8%, a difference of 15.0%), no vehicles in household (9.4% compared to 8.2%, a difference of 14.7%), and 3 or more vehicles in household (21.8% compared to 23.9%, a difference of 9.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 91.9%, a difference of 1.4%), 2 or more vehicles in household (57.5% compared to 60.1%, a difference of 4.5%), and 3 or more vehicles in household (21.8% compared to 23.9%, a difference of 9.6%).
Japanese vs Chinese Vehicle Availability
Vehicle Availability MetricJapaneseChinese
No Vehicles Available
Exceptional
9.4%
Exceptional
8.2%
1+ Vehicles Available
Exceptional
90.6%
Exceptional
91.9%
2+ Vehicles Available
Exceptional
57.5%
Exceptional
60.1%
3+ Vehicles Available
Exceptional
21.8%
Exceptional
23.9%
4+ Vehicles Available
Exceptional
7.7%
Exceptional
8.8%

Japanese vs Chinese Education Level

When considering education level, the most significant differences between Japanese and Chinese communities in the United States are seen in no schooling completed (3.3% compared to 1.5%, a difference of 127.2%), professional degree (3.5% compared to 4.5%, a difference of 25.8%), and master's degree (12.5% compared to 14.6%, a difference of 16.6%). Conversely, both communities are more comparable in terms of nursery school (96.7% compared to 98.6%, a difference of 1.9%), kindergarten (96.7% compared to 98.5%, a difference of 1.9%), and 1st grade (96.6% compared to 98.5%, a difference of 2.0%).
Japanese vs Chinese Education Level
Education Level MetricJapaneseChinese
No Schooling Completed
Tragic
3.3%
Exceptional
1.5%
Nursery School
Tragic
96.7%
Exceptional
98.6%
Kindergarten
Tragic
96.7%
Exceptional
98.5%
1st Grade
Tragic
96.6%
Exceptional
98.5%
2nd Grade
Tragic
96.5%
Exceptional
98.5%
3rd Grade
Tragic
96.4%
Exceptional
98.4%
4th Grade
Tragic
96.0%
Exceptional
98.3%
5th Grade
Tragic
95.7%
Exceptional
98.1%
6th Grade
Tragic
95.4%
Exceptional
97.9%
7th Grade
Tragic
94.0%
Exceptional
97.1%
8th Grade
Tragic
93.6%
Exceptional
96.9%
9th Grade
Tragic
92.6%
Exceptional
96.3%
10th Grade
Tragic
91.2%
Exceptional
95.5%
11th Grade
Tragic
89.9%
Exceptional
94.6%
12th Grade, No Diploma
Tragic
88.3%
Exceptional
93.6%
High School Diploma
Tragic
85.9%
Exceptional
92.0%
GED/Equivalency
Tragic
82.4%
Exceptional
89.0%
College, Under 1 year
Tragic
61.5%
Exceptional
68.3%
College, 1 year or more
Tragic
55.2%
Exceptional
62.2%
Associate's Degree
Tragic
41.7%
Exceptional
48.5%
Bachelor's Degree
Tragic
33.3%
Good
38.5%
Master's Degree
Tragic
12.5%
Fair
14.6%
Professional Degree
Tragic
3.5%
Average
4.5%
Doctorate Degree
Tragic
1.5%
Fair
1.8%

Japanese vs Chinese Disability

When considering disability, the most significant differences between Japanese and Chinese communities in the United States are seen in disability age 5 to 17 (6.1% compared to 4.7%, a difference of 28.9%), hearing disability (3.0% compared to 3.7%, a difference of 22.4%), and disability age 35 to 64 (12.3% compared to 10.3%, a difference of 19.9%). Conversely, both communities are more comparable in terms of disability (12.2% compared to 12.2%, a difference of 0.13%), female disability (12.6% compared to 12.3%, a difference of 2.2%), and male disability (11.7% compared to 12.1%, a difference of 2.7%).
Japanese vs Chinese Disability
Disability MetricJapaneseChinese
Disability
Tragic
12.2%
Tragic
12.2%
Males
Tragic
11.7%
Tragic
12.1%
Females
Tragic
12.6%
Fair
12.3%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.1%
Exceptional
4.7%
Age | 18 to 34 years
Poor
6.8%
Exceptional
6.3%
Age | 35 to 64 years
Tragic
12.3%
Exceptional
10.3%
Age | 65 to 74 years
Tragic
25.7%
Exceptional
21.7%
Age | Over 75 years
Tragic
50.2%
Tragic
48.7%
Vision
Tragic
2.4%
Exceptional
2.0%
Hearing
Average
3.0%
Tragic
3.7%
Cognitive
Tragic
18.3%
Exceptional
15.9%
Ambulatory
Poor
6.3%
Tragic
6.5%
Self-Care
Tragic
2.7%
Tragic
2.6%