Japanese vs Bangladeshi Community Comparison

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Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
Bangladeshi
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

Bangladeshis

Fair
Fair
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 110,945,283 people shows a substantial positive correlation between the proportion of Bangladeshis within Japanese communities in the United States with a correlation coefficient (R) of 0.546. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is an increase of 0.307% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to an increase of 307.2 Bangladeshis.
Japanese Integration in Bangladeshi Communities

Japanese vs Bangladeshi Income

When considering income, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in householder income ages 25 - 44 years ($91,624 compared to $81,363, a difference of 12.6%), median household income ($83,395 compared to $74,112, a difference of 12.5%), and householder income ages 45 - 64 years ($96,834 compared to $86,402, a difference of 12.1%). Conversely, both communities are more comparable in terms of householder income over 65 years ($57,919 compared to $54,719, a difference of 5.9%), median female earnings ($38,528 compared to $35,960, a difference of 7.1%), and wage/income gap (23.8% compared to 22.2%, a difference of 7.3%).
Japanese vs Bangladeshi Income
Income MetricJapaneseBangladeshi
Per Capita Income
Tragic
$39,870
Tragic
$35,897
Median Family Income
Tragic
$97,288
Tragic
$88,358
Median Household Income
Fair
$83,395
Tragic
$74,112
Median Earnings
Tragic
$44,825
Tragic
$41,263
Median Male Earnings
Tragic
$51,473
Tragic
$46,744
Median Female Earnings
Tragic
$38,528
Tragic
$35,960
Householder Age | Under 25 years
Good
$52,365
Tragic
$47,589
Householder Age | 25 - 44 years
Poor
$91,624
Tragic
$81,363
Householder Age | 45 - 64 years
Poor
$96,834
Tragic
$86,402
Householder Age | Over 65 years
Tragic
$57,919
Tragic
$54,719
Wage/Income Gap
Exceptional
23.8%
Exceptional
22.2%

Japanese vs Bangladeshi Poverty

When considering poverty, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in female poverty among 18-24 year olds (18.8% compared to 22.5%, a difference of 19.4%), child poverty under the age of 5 (18.1% compared to 20.6%, a difference of 14.3%), and single female poverty (21.3% compared to 24.2%, a difference of 13.2%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.2%, a difference of 0.31%), single male poverty (13.1% compared to 13.3%, a difference of 1.9%), and receiving food stamps (14.1% compared to 15.0%, a difference of 6.8%).
Japanese vs Bangladeshi Poverty
Poverty MetricJapaneseBangladeshi
Poverty
Tragic
13.3%
Tragic
14.8%
Families
Tragic
9.9%
Tragic
10.9%
Males
Tragic
12.2%
Tragic
13.6%
Females
Tragic
14.5%
Tragic
16.0%
Females 18 to 24 years
Exceptional
18.8%
Tragic
22.5%
Females 25 to 34 years
Poor
14.1%
Tragic
15.9%
Children Under 5 years
Poor
18.1%
Tragic
20.6%
Children Under 16 years
Tragic
17.7%
Tragic
19.9%
Boys Under 16 years
Tragic
17.7%
Tragic
20.0%
Girls Under 16 years
Tragic
17.8%
Tragic
20.0%
Single Males
Poor
13.1%
Tragic
13.3%
Single Females
Fair
21.3%
Tragic
24.2%
Single Fathers
Exceptional
15.2%
Exceptional
15.2%
Single Mothers
Good
28.9%
Tragic
31.7%
Married Couples
Tragic
5.6%
Tragic
6.0%
Seniors Over 65 years
Tragic
12.2%
Fair
11.2%
Seniors Over 75 years
Tragic
13.3%
Good
12.0%
Receiving Food Stamps
Tragic
14.1%
Tragic
15.0%

Japanese vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 9.6%, a difference of 15.5%), unemployment among women with children ages 6 to 17 years (8.4% compared to 7.4%, a difference of 14.9%), and unemployment among ages 60 to 64 years (5.1% compared to 4.6%, a difference of 11.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.39%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.40%), and unemployment among youth under 25 years (11.7% compared to 11.6%, a difference of 1.1%).
Japanese vs Bangladeshi Unemployment
Unemployment MetricJapaneseBangladeshi
Unemployment
Tragic
5.6%
Poor
5.4%
Males
Tragic
5.8%
Tragic
5.7%
Females
Tragic
5.6%
Good
5.2%
Youth < 25
Fair
11.7%
Average
11.6%
Age | 16 to 19 years
Average
17.6%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
6.9%
Average
6.6%
Age | 30 to 34 years
Tragic
5.9%
Good
5.3%
Age | 35 to 44 years
Tragic
5.1%
Fair
4.8%
Age | 45 to 54 years
Tragic
4.7%
Average
4.5%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.7%
Age | 60 to 64 years
Tragic
5.1%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Exceptional
4.9%
Fair
5.2%
Seniors > 75
Exceptional
8.3%
Tragic
9.6%
Women w/ Children < 6
Good
7.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.4%
Exceptional
7.4%
Women w/ Children < 18
Tragic
5.7%
Good
5.3%

Japanese vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 42.5%, a difference of 13.1%), in labor force | age 20-24 (75.3% compared to 78.1%, a difference of 3.8%), and in labor force | age 25-29 (84.3% compared to 85.1%, a difference of 0.89%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 84.3%, a difference of 0.010%), in labor force | age > 16 (65.8% compared to 65.9%, a difference of 0.20%), and in labor force | age 20-64 (79.1% compared to 79.3%, a difference of 0.31%).
Japanese vs Bangladeshi Labor Participation
Labor Participation MetricJapaneseBangladeshi
In Labor Force | Age > 16
Exceptional
65.8%
Exceptional
65.9%
In Labor Force | Age 20-64
Tragic
79.1%
Poor
79.3%
In Labor Force | Age 16-19
Excellent
37.5%
Exceptional
42.5%
In Labor Force | Age 20-24
Good
75.3%
Exceptional
78.1%
In Labor Force | Age 25-29
Poor
84.3%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
83.6%
Poor
84.1%
In Labor Force | Age 45-54
Tragic
81.6%
Tragic
81.3%

Japanese vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in single father households (2.8% compared to 3.1%, a difference of 11.6%), single mother households (7.4% compared to 8.1%, a difference of 9.9%), and married-couple households (45.2% compared to 43.5%, a difference of 3.9%). Conversely, both communities are more comparable in terms of average family size (3.35 compared to 3.37, a difference of 0.57%), currently married (44.5% compared to 43.7%, a difference of 1.8%), and births to unmarried women (35.2% compared to 34.4%, a difference of 2.2%).
Japanese vs Bangladeshi Family Structure
Family Structure MetricJapaneseBangladeshi
Family Households
Exceptional
65.9%
Average
64.3%
Family Households with Children
Exceptional
29.4%
Exceptional
30.1%
Married-couple Households
Tragic
45.2%
Tragic
43.5%
Average Family Size
Exceptional
3.35
Exceptional
3.37
Single Father Households
Tragic
2.8%
Tragic
3.1%
Single Mother Households
Tragic
7.4%
Tragic
8.1%
Currently Married
Tragic
44.5%
Tragic
43.7%
Divorced or Separated
Good
12.0%
Poor
12.3%
Births to Unmarried Women
Tragic
35.2%
Tragic
34.4%

Japanese vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in no vehicles in household (9.4% compared to 8.7%, a difference of 8.8%), 4 or more vehicles in household (7.7% compared to 7.6%, a difference of 1.9%), and 2 or more vehicles in household (57.5% compared to 58.4%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.8% compared to 21.9%, a difference of 0.40%), 1 or more vehicles in household (90.6% compared to 91.4%, a difference of 0.85%), and 2 or more vehicles in household (57.5% compared to 58.4%, a difference of 1.6%).
Japanese vs Bangladeshi Vehicle Availability
Vehicle Availability MetricJapaneseBangladeshi
No Vehicles Available
Exceptional
9.4%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
90.6%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
57.5%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
21.8%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
7.7%
Exceptional
7.6%

Japanese vs Bangladeshi Education Level

When considering education level, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in doctorate degree (1.5% compared to 1.2%, a difference of 25.4%), master's degree (12.5% compared to 10.5%, a difference of 19.2%), and professional degree (3.5% compared to 3.1%, a difference of 14.8%). Conversely, both communities are more comparable in terms of 3rd grade (96.4% compared to 96.3%, a difference of 0.010%), 2nd grade (96.5% compared to 96.5%, a difference of 0.060%), and 4th grade (96.0% compared to 96.1%, a difference of 0.080%).
Japanese vs Bangladeshi Education Level
Education Level MetricJapaneseBangladeshi
No Schooling Completed
Tragic
3.3%
Tragic
3.5%
Nursery School
Tragic
96.7%
Tragic
96.6%
Kindergarten
Tragic
96.7%
Tragic
96.6%
1st Grade
Tragic
96.6%
Tragic
96.5%
2nd Grade
Tragic
96.5%
Tragic
96.5%
3rd Grade
Tragic
96.4%
Tragic
96.3%
4th Grade
Tragic
96.0%
Tragic
96.1%
5th Grade
Tragic
95.7%
Tragic
95.9%
6th Grade
Tragic
95.4%
Tragic
95.7%
7th Grade
Tragic
94.0%
Tragic
94.5%
8th Grade
Tragic
93.6%
Tragic
94.3%
9th Grade
Tragic
92.6%
Tragic
93.4%
10th Grade
Tragic
91.2%
Tragic
92.2%
11th Grade
Tragic
89.9%
Tragic
90.9%
12th Grade, No Diploma
Tragic
88.3%
Tragic
89.3%
High School Diploma
Tragic
85.9%
Tragic
86.9%
GED/Equivalency
Tragic
82.4%
Tragic
83.1%
College, Under 1 year
Tragic
61.5%
Tragic
61.4%
College, 1 year or more
Tragic
55.2%
Tragic
54.5%
Associate's Degree
Tragic
41.7%
Tragic
40.0%
Bachelor's Degree
Tragic
33.3%
Tragic
30.2%
Master's Degree
Tragic
12.5%
Tragic
10.5%
Professional Degree
Tragic
3.5%
Tragic
3.1%
Doctorate Degree
Tragic
1.5%
Tragic
1.2%

Japanese vs Bangladeshi Disability

When considering disability, the most significant differences between Japanese and Bangladeshi communities in the United States are seen in disability age 35 to 64 (12.3% compared to 13.6%, a difference of 10.3%), disability age under 5 (1.2% compared to 1.3%, a difference of 9.3%), and disability age 18 to 34 (6.8% compared to 7.4%, a difference of 8.0%). Conversely, both communities are more comparable in terms of ambulatory disability (6.3% compared to 6.3%, a difference of 0.25%), vision disability (2.4% compared to 2.3%, a difference of 0.50%), and disability age over 75 (50.2% compared to 49.4%, a difference of 1.6%).
Japanese vs Bangladeshi Disability
Disability MetricJapaneseBangladeshi
Disability
Tragic
12.2%
Tragic
12.6%
Males
Tragic
11.7%
Tragic
12.0%
Females
Tragic
12.6%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.2%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.1%
Tragic
5.8%
Age | 18 to 34 years
Poor
6.8%
Tragic
7.4%
Age | 35 to 64 years
Tragic
12.3%
Tragic
13.6%
Age | 65 to 74 years
Tragic
25.7%
Tragic
26.8%
Age | Over 75 years
Tragic
50.2%
Tragic
49.4%
Vision
Tragic
2.4%
Tragic
2.3%
Hearing
Average
3.0%
Tragic
3.2%
Cognitive
Tragic
18.3%
Tragic
18.6%
Ambulatory
Poor
6.3%
Poor
6.3%
Self-Care
Tragic
2.7%
Tragic
2.8%