Bangladeshi vs Japanese Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bangladeshis

Japanese

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

Japanese Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 110,918,715 people shows no correlation between the proportion of Japanese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.044. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.004% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 3.8 Japanese.
Bangladeshi Integration in Japanese Communities

Bangladeshi vs Japanese Income

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

Bangladeshi vs Japanese Poverty

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

Bangladeshi vs Japanese Unemployment

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

Bangladeshi vs Japanese Labor Participation

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

Bangladeshi vs Japanese Family Structure

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

Bangladeshi vs Japanese Vehicle Availability

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

Bangladeshi vs Japanese Education Level

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

Bangladeshi vs Japanese Disability

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