Indian (Asian) vs Japanese Community Comparison

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Indian (Asian)
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
Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indians (Asian)

Japanese

Good
Fair
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 245,164,741 people shows a poor positive correlation between the proportion of Japanese within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.164. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.002% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 2.4 Japanese.
Indian (Asian) Integration in Japanese Communities

Indian (Asian) vs Japanese Income

When considering income, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in per capita income ($53,874 compared to $39,870, a difference of 35.1%), householder income ages 25 - 44 years ($119,496 compared to $91,624, a difference of 30.4%), and median family income ($125,312 compared to $97,288, a difference of 28.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 23.8%, a difference of 11.2%), householder income under 25 years ($58,239 compared to $52,365, a difference of 11.2%), and median female earnings ($46,481 compared to $38,528, a difference of 20.6%).
Indian (Asian) vs Japanese Income
Income MetricIndian (Asian)Japanese
Per Capita Income
Exceptional
$53,874
Tragic
$39,870
Median Family Income
Exceptional
$125,312
Tragic
$97,288
Median Household Income
Exceptional
$105,262
Fair
$83,395
Median Earnings
Exceptional
$56,253
Tragic
$44,825
Median Male Earnings
Exceptional
$66,078
Tragic
$51,473
Median Female Earnings
Exceptional
$46,481
Tragic
$38,528
Householder Age | Under 25 years
Exceptional
$58,239
Good
$52,365
Householder Age | 25 - 44 years
Exceptional
$119,496
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$122,343
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$70,238
Tragic
$57,919
Wage/Income Gap
Poor
26.4%
Exceptional
23.8%

Indian (Asian) vs Japanese Poverty

When considering poverty, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in receiving food stamps (9.6% compared to 14.1%, a difference of 46.3%), child poverty under the age of 16 (13.1% compared to 17.7%, a difference of 34.4%), and child poverty under the age of 5 (13.4% compared to 18.1%, a difference of 34.2%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 15.2%, a difference of 3.0%), female poverty among 18-24 year olds (19.6% compared to 18.8%, a difference of 4.2%), and seniors poverty over the age of 75 (12.7% compared to 13.3%, a difference of 4.7%).
Indian (Asian) vs Japanese Poverty
Poverty MetricIndian (Asian)Japanese
Poverty
Exceptional
11.3%
Tragic
13.3%
Families
Exceptional
7.7%
Tragic
9.9%
Males
Exceptional
10.4%
Tragic
12.2%
Females
Exceptional
12.2%
Tragic
14.5%
Females 18 to 24 years
Excellent
19.6%
Exceptional
18.8%
Females 25 to 34 years
Exceptional
11.2%
Poor
14.1%
Children Under 5 years
Exceptional
13.4%
Poor
18.1%
Children Under 16 years
Exceptional
13.1%
Tragic
17.7%
Boys Under 16 years
Exceptional
13.3%
Tragic
17.7%
Girls Under 16 years
Exceptional
13.3%
Tragic
17.8%
Single Males
Exceptional
11.3%
Poor
13.1%
Single Females
Exceptional
17.9%
Fair
21.3%
Single Fathers
Exceptional
14.8%
Exceptional
15.2%
Single Mothers
Exceptional
25.8%
Good
28.9%
Married Couples
Exceptional
4.8%
Tragic
5.6%
Seniors Over 65 years
Fair
11.1%
Tragic
12.2%
Seniors Over 75 years
Tragic
12.7%
Tragic
13.3%
Receiving Food Stamps
Exceptional
9.6%
Tragic
14.1%

Indian (Asian) vs Japanese Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 18.7%), unemployment among women with children under 18 years (4.9% compared to 5.7%, a difference of 15.5%), and unemployment among ages 30 to 34 years (5.1% compared to 5.9%, a difference of 14.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.1%, a difference of 1.1%), unemployment among youth under 25 years (11.5% compared to 11.7%, a difference of 1.5%), and unemployment among ages 16 to 19 years (17.3% compared to 17.6%, a difference of 1.8%).
Indian (Asian) vs Japanese Unemployment
Unemployment MetricIndian (Asian)Japanese
Unemployment
Excellent
5.1%
Tragic
5.6%
Males
Good
5.2%
Tragic
5.8%
Females
Excellent
5.1%
Tragic
5.6%
Youth < 25
Good
11.5%
Fair
11.7%
Age | 16 to 19 years
Good
17.3%
Average
17.6%
Age | 20 to 24 years
Good
10.3%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.3%
Tragic
6.9%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
5.9%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.1%
Age | 45 to 54 years
Good
4.5%
Tragic
4.7%
Age | 55 to 59 years
Tragic
4.9%
Average
4.8%
Age | 60 to 64 years
Tragic
5.0%
Tragic
5.1%
Age | 65 to 74 years
Average
5.3%
Exceptional
5.2%
Seniors > 65
Average
5.2%
Exceptional
4.9%
Seniors > 75
Exceptional
8.0%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.3%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.9%
Tragic
5.7%

Indian (Asian) vs Japanese Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 37.5%, a difference of 17.8%), in labor force | age 20-24 (71.9% compared to 75.3%, a difference of 4.7%), and in labor force | age 45-54 (83.3% compared to 81.6%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.8%, a difference of 0.45%), in labor force | age 25-29 (84.7% compared to 84.3%, a difference of 0.47%), and in labor force | age 20-64 (79.9% compared to 79.1%, a difference of 1.0%).
Indian (Asian) vs Japanese Labor Participation
Labor Participation MetricIndian (Asian)Japanese
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
65.8%
In Labor Force | Age 20-64
Excellent
79.9%
Tragic
79.1%
In Labor Force | Age 16-19
Tragic
31.9%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
71.9%
Good
75.3%
In Labor Force | Age 25-29
Good
84.7%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.4%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.8%
Tragic
83.6%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
81.6%

Indian (Asian) vs Japanese Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in single mother households (5.1% compared to 7.4%, a difference of 45.0%), single father households (1.9% compared to 2.8%, a difference of 44.4%), and births to unmarried women (25.3% compared to 35.2%, a difference of 39.2%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.9%, a difference of 1.2%), average family size (3.24 compared to 3.35, a difference of 3.3%), and family households with children (27.6% compared to 29.4%, a difference of 6.7%).
Indian (Asian) vs Japanese Family Structure
Family Structure MetricIndian (Asian)Japanese
Family Households
Exceptional
65.1%
Exceptional
65.9%
Family Households with Children
Good
27.6%
Exceptional
29.4%
Married-couple Households
Exceptional
48.7%
Tragic
45.2%
Average Family Size
Good
3.24
Exceptional
3.35
Single Father Households
Exceptional
1.9%
Tragic
2.8%
Single Mother Households
Exceptional
5.1%
Tragic
7.4%
Currently Married
Exceptional
48.0%
Tragic
44.5%
Divorced or Separated
Exceptional
10.2%
Good
12.0%
Births to Unmarried Women
Exceptional
25.3%
Tragic
35.2%

Indian (Asian) vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in no vehicles in household (14.1% compared to 9.4%, a difference of 49.1%), 4 or more vehicles in household (6.4% compared to 7.7%, a difference of 19.6%), and 3 or more vehicles in household (19.1% compared to 21.8%, a difference of 13.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 90.6%, a difference of 5.3%), 2 or more vehicles in household (53.1% compared to 57.5%, a difference of 8.3%), and 3 or more vehicles in household (19.1% compared to 21.8%, a difference of 13.9%).
Indian (Asian) vs Japanese Vehicle Availability
Vehicle Availability MetricIndian (Asian)Japanese
No Vehicles Available
Tragic
14.1%
Exceptional
9.4%
1+ Vehicles Available
Tragic
86.0%
Exceptional
90.6%
2+ Vehicles Available
Tragic
53.1%
Exceptional
57.5%
3+ Vehicles Available
Fair
19.1%
Exceptional
21.8%
4+ Vehicles Available
Good
6.4%
Exceptional
7.7%

Indian (Asian) vs Japanese Education Level

When considering education level, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in doctorate degree (2.9% compared to 1.5%, a difference of 91.6%), professional degree (6.5% compared to 3.5%, a difference of 83.8%), and master's degree (20.5% compared to 12.5%, a difference of 63.7%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 96.6%, a difference of 0.95%), kindergarten (97.6% compared to 96.7%, a difference of 0.98%), and 2nd grade (97.5% compared to 96.5%, a difference of 0.98%).
Indian (Asian) vs Japanese Education Level
Education Level MetricIndian (Asian)Japanese
No Schooling Completed
Tragic
2.5%
Tragic
3.3%
Nursery School
Tragic
97.6%
Tragic
96.7%
Kindergarten
Tragic
97.6%
Tragic
96.7%
1st Grade
Tragic
97.5%
Tragic
96.6%
2nd Grade
Tragic
97.5%
Tragic
96.5%
3rd Grade
Tragic
97.4%
Tragic
96.4%
4th Grade
Tragic
97.2%
Tragic
96.0%
5th Grade
Tragic
96.9%
Tragic
95.7%
6th Grade
Tragic
96.6%
Tragic
95.4%
7th Grade
Tragic
95.5%
Tragic
94.0%
8th Grade
Tragic
95.2%
Tragic
93.6%
9th Grade
Tragic
94.5%
Tragic
92.6%
10th Grade
Poor
93.4%
Tragic
91.2%
11th Grade
Average
92.5%
Tragic
89.9%
12th Grade, No Diploma
Good
91.5%
Tragic
88.3%
High School Diploma
Good
89.6%
Tragic
85.9%
GED/Equivalency
Exceptional
87.1%
Tragic
82.4%
College, Under 1 year
Exceptional
70.8%
Tragic
61.5%
College, 1 year or more
Exceptional
66.1%
Tragic
55.2%
Associate's Degree
Exceptional
54.8%
Tragic
41.7%
Bachelor's Degree
Exceptional
47.4%
Tragic
33.3%
Master's Degree
Exceptional
20.5%
Tragic
12.5%
Professional Degree
Exceptional
6.5%
Tragic
3.5%
Doctorate Degree
Exceptional
2.9%
Tragic
1.5%

Indian (Asian) vs Japanese Disability

When considering disability, the most significant differences between Indian (Asian) and Japanese communities in the United States are seen in disability age 35 to 64 (8.9% compared to 12.3%, a difference of 39.5%), disability age 5 to 17 (4.6% compared to 6.1%, a difference of 32.5%), and vision disability (1.8% compared to 2.4%, a difference of 27.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 50.2%, a difference of 8.0%), cognitive disability (16.8% compared to 18.3%, a difference of 8.4%), and hearing disability (2.7% compared to 3.0%, a difference of 11.1%).
Indian (Asian) vs Japanese Disability
Disability MetricIndian (Asian)Japanese
Disability
Exceptional
10.3%
Tragic
12.2%
Males
Exceptional
9.7%
Tragic
11.7%
Females
Exceptional
10.8%
Tragic
12.6%
Age | Under 5 years
Exceptional
1.0%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
4.6%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
5.5%
Poor
6.8%
Age | 35 to 64 years
Exceptional
8.9%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
20.5%
Tragic
25.7%
Age | Over 75 years
Exceptional
46.5%
Tragic
50.2%
Vision
Exceptional
1.8%
Tragic
2.4%
Hearing
Exceptional
2.7%
Average
3.0%
Cognitive
Exceptional
16.8%
Tragic
18.3%
Ambulatory
Exceptional
5.4%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.7%