Japanese vs Immigrants from Bangladesh Community Comparison

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Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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
Immigrants from Bangladesh
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

Immigrants from Bangladesh

Fair
Poor
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK

Immigrants from Bangladesh Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 141,193,040 people shows a poor negative correlation between the proportion of Immigrants from Bangladesh within Japanese communities in the United States with a correlation coefficient (R) of -0.157. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is a decrease of 0.006% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to a decrease of 5.6 Immigrants from Bangladesh.
Japanese Integration in Immigrants from Bangladesh Communities

Japanese vs Immigrants from Bangladesh Income

When considering income, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in wage/income gap (23.8% compared to 20.9%, a difference of 13.6%), householder income ages 45 - 64 years ($96,834 compared to $92,208, a difference of 5.0%), and per capita income ($39,870 compared to $41,709, a difference of 4.6%). Conversely, both communities are more comparable in terms of median male earnings ($51,473 compared to $51,642, a difference of 0.33%), householder income ages 25 - 44 years ($91,624 compared to $90,448, a difference of 1.3%), and median earnings ($44,825 compared to $45,532, a difference of 1.6%).
Japanese vs Immigrants from Bangladesh Income
Income MetricJapaneseImmigrants from Bangladesh
Per Capita Income
Tragic
$39,870
Poor
$41,709
Median Family Income
Tragic
$97,288
Tragic
$94,665
Median Household Income
Fair
$83,395
Tragic
$80,722
Median Earnings
Tragic
$44,825
Fair
$45,532
Median Male Earnings
Tragic
$51,473
Tragic
$51,642
Median Female Earnings
Tragic
$38,528
Good
$39,910
Householder Age | Under 25 years
Good
$52,365
Exceptional
$54,714
Householder Age | 25 - 44 years
Poor
$91,624
Tragic
$90,448
Householder Age | 45 - 64 years
Poor
$96,834
Tragic
$92,208
Householder Age | Over 65 years
Tragic
$57,919
Tragic
$55,394
Wage/Income Gap
Exceptional
23.8%
Exceptional
20.9%

Japanese vs Immigrants from Bangladesh Poverty

When considering poverty, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (5.6% compared to 7.5%, a difference of 34.8%), seniors poverty over the age of 75 (13.3% compared to 15.8%, a difference of 18.4%), and family poverty (9.9% compared to 11.7%, a difference of 18.1%). Conversely, both communities are more comparable in terms of single male poverty (13.1% compared to 13.0%, a difference of 0.50%), single female poverty (21.3% compared to 22.3%, a difference of 4.5%), and female poverty among 25-34 year olds (14.1% compared to 14.8%, a difference of 4.9%).
Japanese vs Immigrants from Bangladesh Poverty
Poverty MetricJapaneseImmigrants from Bangladesh
Poverty
Tragic
13.3%
Tragic
15.3%
Families
Tragic
9.9%
Tragic
11.7%
Males
Tragic
12.2%
Tragic
14.1%
Females
Tragic
14.5%
Tragic
16.4%
Females 18 to 24 years
Exceptional
18.8%
Tragic
21.8%
Females 25 to 34 years
Poor
14.1%
Tragic
14.8%
Children Under 5 years
Poor
18.1%
Tragic
20.1%
Children Under 16 years
Tragic
17.7%
Tragic
19.8%
Boys Under 16 years
Tragic
17.7%
Tragic
19.9%
Girls Under 16 years
Tragic
17.8%
Tragic
19.9%
Single Males
Poor
13.1%
Fair
13.0%
Single Females
Fair
21.3%
Tragic
22.3%
Single Fathers
Exceptional
15.2%
Average
16.3%
Single Mothers
Good
28.9%
Tragic
31.1%
Married Couples
Tragic
5.6%
Tragic
7.5%
Seniors Over 65 years
Tragic
12.2%
Tragic
14.1%
Seniors Over 75 years
Tragic
13.3%
Tragic
15.8%
Receiving Food Stamps
Tragic
14.1%
Tragic
15.9%

Japanese vs Immigrants from Bangladesh Unemployment

When considering unemployment, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in unemployment among ages 20 to 24 years (10.0% compared to 12.6%, a difference of 25.3%), unemployment among ages 55 to 59 years (4.8% compared to 5.9%, a difference of 22.2%), and unemployment among ages 16 to 19 years (17.6% compared to 21.5%, a difference of 21.8%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.4% compared to 8.8%, a difference of 4.5%), unemployment among ages 35 to 44 years (5.1% compared to 5.3%, a difference of 5.3%), and unemployment among ages 25 to 29 years (6.9% compared to 7.5%, a difference of 8.7%).
Japanese vs Immigrants from Bangladesh Unemployment
Unemployment MetricJapaneseImmigrants from Bangladesh
Unemployment
Tragic
5.6%
Tragic
6.5%
Males
Tragic
5.8%
Tragic
6.6%
Females
Tragic
5.6%
Tragic
6.5%
Youth < 25
Fair
11.7%
Tragic
14.2%
Age | 16 to 19 years
Average
17.6%
Tragic
21.5%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
12.6%
Age | 25 to 29 years
Tragic
6.9%
Tragic
7.5%
Age | 30 to 34 years
Tragic
5.9%
Tragic
6.4%
Age | 35 to 44 years
Tragic
5.1%
Tragic
5.3%
Age | 45 to 54 years
Tragic
4.7%
Tragic
5.4%
Age | 55 to 59 years
Average
4.8%
Tragic
5.9%
Age | 60 to 64 years
Tragic
5.1%
Tragic
6.0%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.9%
Seniors > 65
Exceptional
4.9%
Tragic
5.7%
Seniors > 75
Exceptional
8.3%
Tragic
9.1%
Women w/ Children < 6
Good
7.5%
Tragic
8.8%
Women w/ Children 6 to 17
Exceptional
8.4%
Good
8.8%
Women w/ Children < 18
Tragic
5.7%
Tragic
6.4%

Japanese vs Immigrants from Bangladesh Labor Participation

When considering labor participation, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 30.0%, a difference of 24.9%), in labor force | age 20-24 (75.3% compared to 70.6%, a difference of 6.6%), and in labor force | age > 16 (65.8% compared to 64.5%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 82.9%, a difference of 0.78%), in labor force | age 30-34 (84.3% compared to 83.6%, a difference of 0.88%), and in labor force | age 45-54 (81.6% compared to 80.7%, a difference of 1.1%).
Japanese vs Immigrants from Bangladesh Labor Participation
Labor Participation MetricJapaneseImmigrants from Bangladesh
In Labor Force | Age > 16
Exceptional
65.8%
Tragic
64.5%
In Labor Force | Age 20-64
Tragic
79.1%
Tragic
77.9%
In Labor Force | Age 16-19
Excellent
37.5%
Tragic
30.0%
In Labor Force | Age 20-24
Good
75.3%
Tragic
70.6%
In Labor Force | Age 25-29
Poor
84.3%
Tragic
83.0%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
83.6%
In Labor Force | Age 35-44
Tragic
83.6%
Tragic
82.9%
In Labor Force | Age 45-54
Tragic
81.6%
Tragic
80.7%

Japanese vs Immigrants from Bangladesh Family Structure

When considering family structure, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in single father households (2.8% compared to 2.1%, a difference of 32.9%), births to unmarried women (35.2% compared to 30.9%, a difference of 13.8%), and divorced or separated (12.0% compared to 11.0%, a difference of 9.1%). Conversely, both communities are more comparable in terms of average family size (3.35 compared to 3.36, a difference of 0.44%), currently married (44.5% compared to 43.6%, a difference of 1.9%), and family households (65.9% compared to 63.9%, a difference of 3.2%).
Japanese vs Immigrants from Bangladesh Family Structure
Family Structure MetricJapaneseImmigrants from Bangladesh
Family Households
Exceptional
65.9%
Poor
63.9%
Family Households with Children
Exceptional
29.4%
Good
27.6%
Married-couple Households
Tragic
45.2%
Tragic
43.1%
Average Family Size
Exceptional
3.35
Exceptional
3.36
Single Father Households
Tragic
2.8%
Exceptional
2.1%
Single Mother Households
Tragic
7.4%
Tragic
6.9%
Currently Married
Tragic
44.5%
Tragic
43.6%
Divorced or Separated
Good
12.0%
Exceptional
11.0%
Births to Unmarried Women
Tragic
35.2%
Good
30.9%

Japanese vs Immigrants from Bangladesh Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (9.4% compared to 25.8%, a difference of 173.0%), 4 or more vehicles in household (7.7% compared to 3.9%, a difference of 97.3%), and 3 or more vehicles in household (21.8% compared to 12.5%, a difference of 74.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 74.3%, a difference of 22.0%), 2 or more vehicles in household (57.5% compared to 38.8%, a difference of 48.3%), and 3 or more vehicles in household (21.8% compared to 12.5%, a difference of 74.0%).
Japanese vs Immigrants from Bangladesh Vehicle Availability
Vehicle Availability MetricJapaneseImmigrants from Bangladesh
No Vehicles Available
Exceptional
9.4%
Tragic
25.8%
1+ Vehicles Available
Exceptional
90.6%
Tragic
74.3%
2+ Vehicles Available
Exceptional
57.5%
Tragic
38.8%
3+ Vehicles Available
Exceptional
21.8%
Tragic
12.5%
4+ Vehicles Available
Exceptional
7.7%
Tragic
3.9%

Japanese vs Immigrants from Bangladesh Education Level

When considering education level, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in professional degree (3.5% compared to 4.4%, a difference of 25.3%), master's degree (12.5% compared to 15.5%, a difference of 23.8%), and doctorate degree (1.5% compared to 1.8%, a difference of 21.1%). Conversely, both communities are more comparable in terms of 8th grade (93.6% compared to 93.6%, a difference of 0.0%), 6th grade (95.4% compared to 95.4%, a difference of 0.010%), and 7th grade (94.0% compared to 94.0%, a difference of 0.030%).
Japanese vs Immigrants from Bangladesh Education Level
Education Level MetricJapaneseImmigrants from Bangladesh
No Schooling Completed
Tragic
3.3%
Tragic
3.1%
Nursery School
Tragic
96.7%
Tragic
96.9%
Kindergarten
Tragic
96.7%
Tragic
96.8%
1st Grade
Tragic
96.6%
Tragic
96.8%
2nd Grade
Tragic
96.5%
Tragic
96.7%
3rd Grade
Tragic
96.4%
Tragic
96.6%
4th Grade
Tragic
96.0%
Tragic
96.2%
5th Grade
Tragic
95.7%
Tragic
96.0%
6th Grade
Tragic
95.4%
Tragic
95.4%
7th Grade
Tragic
94.0%
Tragic
94.0%
8th Grade
Tragic
93.6%
Tragic
93.6%
9th Grade
Tragic
92.6%
Tragic
92.4%
10th Grade
Tragic
91.2%
Tragic
91.0%
11th Grade
Tragic
89.9%
Tragic
89.5%
12th Grade, No Diploma
Tragic
88.3%
Tragic
88.0%
High School Diploma
Tragic
85.9%
Tragic
85.5%
GED/Equivalency
Tragic
82.4%
Tragic
81.9%
College, Under 1 year
Tragic
61.5%
Tragic
61.3%
College, 1 year or more
Tragic
55.2%
Tragic
56.6%
Associate's Degree
Tragic
41.7%
Fair
45.2%
Bachelor's Degree
Tragic
33.3%
Average
37.8%
Master's Degree
Tragic
12.5%
Good
15.5%
Professional Degree
Tragic
3.5%
Average
4.4%
Doctorate Degree
Tragic
1.5%
Average
1.8%

Japanese vs Immigrants from Bangladesh Disability

When considering disability, the most significant differences between Japanese and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.2% compared to 0.85%, a difference of 38.1%), hearing disability (3.0% compared to 2.4%, a difference of 24.0%), and disability age 18 to 34 (6.8% compared to 5.6%, a difference of 21.0%). Conversely, both communities are more comparable in terms of ambulatory disability (6.3% compared to 6.2%, a difference of 1.1%), self-care disability (2.7% compared to 2.6%, a difference of 1.9%), and cognitive disability (18.3% compared to 17.8%, a difference of 2.3%).
Japanese vs Immigrants from Bangladesh Disability
Disability MetricJapaneseImmigrants from Bangladesh
Disability
Tragic
12.2%
Exceptional
11.0%
Males
Tragic
11.7%
Exceptional
10.3%
Females
Tragic
12.6%
Exceptional
11.8%
Age | Under 5 years
Exceptional
1.2%
Exceptional
0.85%
Age | 5 to 17 years
Tragic
6.1%
Exceptional
5.2%
Age | 18 to 34 years
Poor
6.8%
Exceptional
5.6%
Age | 35 to 64 years
Tragic
12.3%
Excellent
10.9%
Age | 65 to 74 years
Tragic
25.7%
Fair
23.6%
Age | Over 75 years
Tragic
50.2%
Tragic
48.0%
Vision
Tragic
2.4%
Good
2.1%
Hearing
Average
3.0%
Exceptional
2.4%
Cognitive
Tragic
18.3%
Tragic
17.8%
Ambulatory
Poor
6.3%
Fair
6.2%
Self-Care
Tragic
2.7%
Tragic
2.6%