Japanese vs Bangladeshi Community Comparison
COMPARE
Japanese
Bangladeshi
Social Comparison
Social Comparison
Japanese
Bangladeshis
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 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%).
Income Metric | Japanese | Bangladeshi |
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%).
Poverty Metric | Japanese | Bangladeshi |
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%).
Unemployment Metric | Japanese | Bangladeshi |
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%).
Labor Participation Metric | Japanese | Bangladeshi |
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%).
Family Structure Metric | Japanese | Bangladeshi |
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%).
Vehicle Availability Metric | Japanese | Bangladeshi |
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%).
Education Level Metric | Japanese | Bangladeshi |
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%).
Disability Metric | Japanese | Bangladeshi |
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% |