Thai vs Japanese Community Comparison

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Thai
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseTlingit-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

Thais

Japanese

Exceptional
Fair
10,191
SOCIAL INDEX
99.4/ 100
SOCIAL RATING
2nd/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Thai Communities

The statistical analysis conducted on geographies consisting of 242,364,173 people shows no correlation between the proportion of Japanese within Thai communities in the United States with a correlation coefficient (R) of -0.040. On average, for every 1% (one percent) increase in Thais within a typical geography, there is a decrease of 0.001% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Thais corresponds to a decrease of 0.7 Japanese.
Thai Integration in Japanese Communities

Thai vs Japanese Income

When considering income, the most significant differences between Thai and Japanese communities in the United States are seen in median male earnings ($72,135 compared to $51,473, a difference of 40.1%), per capita income ($54,307 compared to $39,870, a difference of 36.2%), and median family income ($131,281 compared to $97,288, a difference of 34.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($59,187 compared to $52,365, a difference of 13.0%), median female earnings ($47,577 compared to $38,528, a difference of 23.5%), and householder income over 65 years ($72,099 compared to $57,919, a difference of 24.5%).
Thai vs Japanese Income
Income MetricThaiJapanese
Per Capita Income
Exceptional
$54,307
Tragic
$39,870
Median Family Income
Exceptional
$131,281
Tragic
$97,288
Median Household Income
Exceptional
$110,648
Fair
$83,395
Median Earnings
Exceptional
$59,237
Tragic
$44,825
Median Male Earnings
Exceptional
$72,135
Tragic
$51,473
Median Female Earnings
Exceptional
$47,577
Tragic
$38,528
Householder Age | Under 25 years
Exceptional
$59,187
Good
$52,365
Householder Age | 25 - 44 years
Exceptional
$121,778
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$129,560
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$72,099
Tragic
$57,919
Wage/Income Gap
Tragic
30.5%
Exceptional
23.8%

Thai vs Japanese Poverty

When considering poverty, the most significant differences between Thai and Japanese communities in the United States are seen in receiving food stamps (8.1% compared to 14.1%, a difference of 73.7%), child poverty under the age of 16 (11.6% compared to 17.7%, a difference of 52.7%), and child poverty among boys under 16 (11.7% compared to 17.7%, a difference of 51.9%). Conversely, both communities are more comparable in terms of single father poverty (14.5% compared to 15.2%, a difference of 4.9%), female poverty among 18-24 year olds (17.0% compared to 18.8%, a difference of 10.8%), and single mother poverty (24.5% compared to 28.9%, a difference of 18.0%).
Thai vs Japanese Poverty
Poverty MetricThaiJapanese
Poverty
Exceptional
9.6%
Tragic
13.3%
Families
Exceptional
6.7%
Tragic
9.9%
Males
Exceptional
8.7%
Tragic
12.2%
Females
Exceptional
10.5%
Tragic
14.5%
Females 18 to 24 years
Exceptional
17.0%
Exceptional
18.8%
Females 25 to 34 years
Exceptional
10.2%
Poor
14.1%
Children Under 5 years
Exceptional
12.3%
Poor
18.1%
Children Under 16 years
Exceptional
11.6%
Tragic
17.7%
Boys Under 16 years
Exceptional
11.7%
Tragic
17.7%
Girls Under 16 years
Exceptional
11.8%
Tragic
17.8%
Single Males
Exceptional
10.8%
Poor
13.1%
Single Females
Exceptional
17.3%
Fair
21.3%
Single Fathers
Exceptional
14.5%
Exceptional
15.2%
Single Mothers
Exceptional
24.5%
Good
28.9%
Married Couples
Exceptional
3.9%
Tragic
5.6%
Seniors Over 65 years
Exceptional
9.2%
Tragic
12.2%
Seniors Over 75 years
Exceptional
10.9%
Tragic
13.3%
Receiving Food Stamps
Exceptional
8.1%
Tragic
14.1%

Thai vs Japanese Unemployment

When considering unemployment, the most significant differences between Thai and Japanese communities in the United States are seen in unemployment among ages 35 to 44 years (3.9% compared to 5.1%, a difference of 28.2%), male unemployment (4.6% compared to 5.8%, a difference of 26.0%), and unemployment among ages 30 to 34 years (4.7% compared to 5.9%, a difference of 24.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.0% compared to 4.9%, a difference of 0.13%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.20%), and unemployment among seniors over 75 years (8.3% compared to 8.3%, a difference of 0.34%).
Thai vs Japanese Unemployment
Unemployment MetricThaiJapanese
Unemployment
Exceptional
4.7%
Tragic
5.6%
Males
Exceptional
4.6%
Tragic
5.8%
Females
Exceptional
4.9%
Tragic
5.6%
Youth < 25
Exceptional
11.0%
Fair
11.7%
Age | 16 to 19 years
Exceptional
15.7%
Average
17.6%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
5.9%
Tragic
6.9%
Age | 30 to 34 years
Exceptional
4.7%
Tragic
5.9%
Age | 35 to 44 years
Exceptional
3.9%
Tragic
5.1%
Age | 45 to 54 years
Exceptional
4.0%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.5%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.7%
Tragic
5.1%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.9%
Seniors > 75
Exceptional
8.3%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.3%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.8%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.8%
Tragic
5.7%

Thai vs Japanese Labor Participation

When considering labor participation, the most significant differences between Thai and Japanese communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 37.5%, a difference of 8.6%), in labor force | age 45-54 (84.3% compared to 81.6%, a difference of 3.3%), and in labor force | age 20-64 (80.9% compared to 79.1%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 84.3%, a difference of 1.0%), in labor force | age 25-29 (85.5% compared to 84.3%, a difference of 1.3%), and in labor force | age 20-24 (74.0% compared to 75.3%, a difference of 1.7%).
Thai vs Japanese Labor Participation
Labor Participation MetricThaiJapanese
In Labor Force | Age > 16
Exceptional
67.2%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
80.9%
Tragic
79.1%
In Labor Force | Age 16-19
Tragic
34.6%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
74.0%
Good
75.3%
In Labor Force | Age 25-29
Exceptional
85.5%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.2%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
83.6%
In Labor Force | Age 45-54
Exceptional
84.3%
Tragic
81.6%

Thai vs Japanese Family Structure

When considering family structure, the most significant differences between Thai and Japanese communities in the United States are seen in births to unmarried women (24.0% compared to 35.2%, a difference of 46.3%), single father households (1.9% compared to 2.8%, a difference of 43.1%), and single mother households (5.2% compared to 7.4%, a difference of 41.7%). Conversely, both communities are more comparable in terms of family households (67.2% compared to 65.9%, a difference of 1.9%), average family size (3.22 compared to 3.35, a difference of 4.0%), and family households with children (30.6% compared to 29.4%, a difference of 4.1%).
Thai vs Japanese Family Structure
Family Structure MetricThaiJapanese
Family Households
Exceptional
67.2%
Exceptional
65.9%
Family Households with Children
Exceptional
30.6%
Exceptional
29.4%
Married-couple Households
Exceptional
51.9%
Tragic
45.2%
Average Family Size
Fair
3.22
Exceptional
3.35
Single Father Households
Exceptional
1.9%
Tragic
2.8%
Single Mother Households
Exceptional
5.2%
Tragic
7.4%
Currently Married
Exceptional
50.9%
Tragic
44.5%
Divorced or Separated
Exceptional
10.2%
Good
12.0%
Births to Unmarried Women
Exceptional
24.0%
Tragic
35.2%

Thai vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Thai and Japanese communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 7.7%, a difference of 23.3%), no vehicles in household (8.2% compared to 9.4%, a difference of 15.2%), and 3 or more vehicles in household (19.8% compared to 21.8%, a difference of 9.8%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.9% compared to 57.5%, a difference of 0.76%), 1 or more vehicles in household (91.9% compared to 90.6%, a difference of 1.4%), and 3 or more vehicles in household (19.8% compared to 21.8%, a difference of 9.8%).
Thai vs Japanese Vehicle Availability
Vehicle Availability MetricThaiJapanese
No Vehicles Available
Exceptional
8.2%
Exceptional
9.4%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
90.6%
2+ Vehicles Available
Exceptional
57.9%
Exceptional
57.5%
3+ Vehicles Available
Good
19.8%
Exceptional
21.8%
4+ Vehicles Available
Fair
6.2%
Exceptional
7.7%

Thai vs Japanese Education Level

When considering education level, the most significant differences between Thai and Japanese communities in the United States are seen in no schooling completed (1.8% compared to 3.3%, a difference of 82.6%), doctorate degree (2.8% compared to 1.5%, a difference of 82.1%), and master's degree (21.7% compared to 12.5%, a difference of 73.8%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 96.7%, a difference of 1.6%), kindergarten (98.2% compared to 96.7%, a difference of 1.6%), and 1st grade (98.1% compared to 96.6%, a difference of 1.6%).
Thai vs Japanese Education Level
Education Level MetricThaiJapanese
No Schooling Completed
Exceptional
1.8%
Tragic
3.3%
Nursery School
Exceptional
98.2%
Tragic
96.7%
Kindergarten
Exceptional
98.2%
Tragic
96.7%
1st Grade
Exceptional
98.1%
Tragic
96.6%
2nd Grade
Exceptional
98.1%
Tragic
96.5%
3rd Grade
Exceptional
98.0%
Tragic
96.4%
4th Grade
Exceptional
97.8%
Tragic
96.0%
5th Grade
Exceptional
97.7%
Tragic
95.7%
6th Grade
Exceptional
97.4%
Tragic
95.4%
7th Grade
Exceptional
96.7%
Tragic
94.0%
8th Grade
Exceptional
96.4%
Tragic
93.6%
9th Grade
Exceptional
95.8%
Tragic
92.6%
10th Grade
Exceptional
95.0%
Tragic
91.2%
11th Grade
Exceptional
94.1%
Tragic
89.9%
12th Grade, No Diploma
Exceptional
93.2%
Tragic
88.3%
High School Diploma
Exceptional
91.5%
Tragic
85.9%
GED/Equivalency
Exceptional
89.1%
Tragic
82.4%
College, Under 1 year
Exceptional
73.4%
Tragic
61.5%
College, 1 year or more
Exceptional
68.6%
Tragic
55.2%
Associate's Degree
Exceptional
57.4%
Tragic
41.7%
Bachelor's Degree
Exceptional
50.1%
Tragic
33.3%
Master's Degree
Exceptional
21.7%
Tragic
12.5%
Professional Degree
Exceptional
6.1%
Tragic
3.5%
Doctorate Degree
Exceptional
2.8%
Tragic
1.5%

Thai vs Japanese Disability

When considering disability, the most significant differences between Thai and Japanese communities in the United States are seen in disability age 35 to 64 (8.6% compared to 12.3%, a difference of 44.0%), vision disability (1.7% compared to 2.4%, a difference of 35.6%), and disability age 5 to 17 (4.7% compared to 6.1%, a difference of 30.1%). Conversely, both communities are more comparable in terms of disability age over 75 (45.4% compared to 50.2%, a difference of 10.6%), disability age under 5 (1.1% compared to 1.2%, a difference of 11.1%), and cognitive disability (16.1% compared to 18.3%, a difference of 13.3%).
Thai vs Japanese Disability
Disability MetricThaiJapanese
Disability
Exceptional
9.7%
Tragic
12.2%
Males
Exceptional
9.2%
Tragic
11.7%
Females
Exceptional
10.2%
Tragic
12.6%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
5.6%
Poor
6.8%
Age | 35 to 64 years
Exceptional
8.6%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
20.1%
Tragic
25.7%
Age | Over 75 years
Exceptional
45.4%
Tragic
50.2%
Vision
Exceptional
1.7%
Tragic
2.4%
Hearing
Exceptional
2.5%
Average
3.0%
Cognitive
Exceptional
16.1%
Tragic
18.3%
Ambulatory
Exceptional
4.9%
Poor
6.3%
Self-Care
Exceptional
2.1%
Tragic
2.7%