Japanese vs Bhutanese Community Comparison
COMPARE
Japanese
Bhutanese
Social Comparison
Social Comparison
Japanese
Bhutanese
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
10,144
SOCIAL INDEX
98.9/ 100
SOCIAL RATING
3rd/ 347
SOCIAL RANK
Bhutanese Integration in Japanese Communities
The statistical analysis conducted on geographies consisting of 238,073,571 people shows a poor negative correlation between the proportion of Bhutanese within Japanese communities in the United States with a correlation coefficient (R) of -0.117. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is a decrease of 0.014% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to a decrease of 14.1 Bhutanese.
Japanese vs Bhutanese Income
When considering income, the most significant differences between Japanese and Bhutanese communities in the United States are seen in per capita income ($39,870 compared to $49,894, a difference of 25.1%), householder income over 65 years ($57,919 compared to $72,288, a difference of 24.8%), and median family income ($97,288 compared to $119,800, a difference of 23.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,365 compared to $57,078, a difference of 9.0%), median female earnings ($38,528 compared to $43,648, a difference of 13.3%), and wage/income gap (23.8% compared to 27.0%, a difference of 13.4%).
Income Metric | Japanese | Bhutanese |
Per Capita Income | Tragic $39,870 | Exceptional $49,894 |
Median Family Income | Tragic $97,288 | Exceptional $119,800 |
Median Household Income | Fair $83,395 | Exceptional $100,151 |
Median Earnings | Tragic $44,825 | Exceptional $52,297 |
Median Male Earnings | Tragic $51,473 | Exceptional $61,759 |
Median Female Earnings | Tragic $38,528 | Exceptional $43,648 |
Householder Age | Under 25 years | Good $52,365 | Exceptional $57,078 |
Householder Age | 25 - 44 years | Poor $91,624 | Exceptional $109,520 |
Householder Age | 45 - 64 years | Poor $96,834 | Exceptional $117,750 |
Householder Age | Over 65 years | Tragic $57,919 | Exceptional $72,288 |
Wage/Income Gap | Exceptional 23.8% | Tragic 27.0% |
Japanese vs Bhutanese Poverty
When considering poverty, the most significant differences between Japanese and Bhutanese communities in the United States are seen in receiving food stamps (14.1% compared to 9.2%, a difference of 52.9%), child poverty under the age of 16 (17.7% compared to 12.5%, a difference of 41.0%), and child poverty among boys under 16 (17.7% compared to 12.6%, a difference of 40.8%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.0%, a difference of 1.8%), female poverty among 18-24 year olds (18.8% compared to 18.2%, a difference of 3.4%), and single mother poverty (28.9% compared to 25.6%, a difference of 12.8%).
Poverty Metric | Japanese | Bhutanese |
Poverty | Tragic 13.3% | Exceptional 10.4% |
Families | Tragic 9.9% | Exceptional 7.0% |
Males | Tragic 12.2% | Exceptional 9.5% |
Females | Tragic 14.5% | Exceptional 11.3% |
Females 18 to 24 years | Exceptional 18.8% | Exceptional 18.2% |
Females 25 to 34 years | Poor 14.1% | Exceptional 11.4% |
Children Under 5 years | Poor 18.1% | Exceptional 13.4% |
Children Under 16 years | Tragic 17.7% | Exceptional 12.5% |
Boys Under 16 years | Tragic 17.7% | Exceptional 12.6% |
Girls Under 16 years | Tragic 17.8% | Exceptional 12.7% |
Single Males | Poor 13.1% | Exceptional 11.1% |
Single Females | Fair 21.3% | Exceptional 17.7% |
Single Fathers | Exceptional 15.2% | Exceptional 15.0% |
Single Mothers | Good 28.9% | Exceptional 25.6% |
Married Couples | Tragic 5.6% | Exceptional 4.1% |
Seniors Over 65 years | Tragic 12.2% | Exceptional 9.3% |
Seniors Over 75 years | Tragic 13.3% | Exceptional 10.6% |
Receiving Food Stamps | Tragic 14.1% | Exceptional 9.2% |
Japanese vs Bhutanese Unemployment
When considering unemployment, the most significant differences between Japanese and Bhutanese communities in the United States are seen in male unemployment (5.8% compared to 4.9%, a difference of 17.0%), unemployment among ages 35 to 44 years (5.1% compared to 4.4%, a difference of 16.0%), and unemployment (5.6% compared to 4.9%, a difference of 15.6%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.41%), unemployment among seniors over 65 years (4.9% compared to 4.8%, a difference of 2.5%), and unemployment among seniors over 75 years (8.3% compared to 8.0%, a difference of 3.3%).
Unemployment Metric | Japanese | Bhutanese |
Unemployment | Tragic 5.6% | Exceptional 4.9% |
Males | Tragic 5.8% | Exceptional 4.9% |
Females | Tragic 5.6% | Exceptional 4.9% |
Youth < 25 | Fair 11.7% | Exceptional 11.2% |
Age | 16 to 19 years | Average 17.6% | Exceptional 16.4% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 10.0% |
Age | 25 to 29 years | Tragic 6.9% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 5.9% | Exceptional 5.2% |
Age | 35 to 44 years | Tragic 5.1% | Exceptional 4.4% |
Age | 45 to 54 years | Tragic 4.7% | Exceptional 4.2% |
Age | 55 to 59 years | Average 4.8% | Exceptional 4.6% |
Age | 60 to 64 years | Tragic 5.1% | Exceptional 4.5% |
Age | 65 to 74 years | Exceptional 5.2% | Exceptional 5.0% |
Seniors > 65 | Exceptional 4.9% | Exceptional 4.8% |
Seniors > 75 | Exceptional 8.3% | Exceptional 8.0% |
Women w/ Children < 6 | Good 7.5% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Exceptional 8.4% | Exceptional 8.1% |
Women w/ Children < 18 | Tragic 5.7% | Exceptional 5.0% |
Japanese vs Bhutanese Labor Participation
When considering labor participation, the most significant differences between Japanese and Bhutanese communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 36.3%, a difference of 3.5%), in labor force | age 45-54 (81.6% compared to 83.5%, a difference of 2.3%), and in labor force | age 20-64 (79.1% compared to 80.2%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.3% compared to 75.4%, a difference of 0.24%), in labor force | age > 16 (65.8% compared to 65.5%, a difference of 0.54%), and in labor force | age 25-29 (84.3% compared to 84.8%, a difference of 0.59%).
Labor Participation Metric | Japanese | Bhutanese |
In Labor Force | Age > 16 | Exceptional 65.8% | Excellent 65.5% |
In Labor Force | Age 20-64 | Tragic 79.1% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Excellent 37.5% | Fair 36.3% |
In Labor Force | Age 20-24 | Good 75.3% | Excellent 75.4% |
In Labor Force | Age 25-29 | Poor 84.3% | Good 84.8% |
In Labor Force | Age 30-34 | Tragic 84.3% | Excellent 85.0% |
In Labor Force | Age 35-44 | Tragic 83.6% | Excellent 84.7% |
In Labor Force | Age 45-54 | Tragic 81.6% | Exceptional 83.5% |
Japanese vs Bhutanese Family Structure
When considering family structure, the most significant differences between Japanese and Bhutanese communities in the United States are seen in single mother households (7.4% compared to 5.3%, a difference of 40.3%), single father households (2.8% compared to 2.1%, a difference of 30.2%), and births to unmarried women (35.2% compared to 27.9%, a difference of 26.1%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 65.9%, a difference of 0.060%), average family size (3.35 compared to 3.25, a difference of 3.0%), and divorced or separated (12.0% compared to 11.2%, a difference of 7.0%).
Family Structure Metric | Japanese | Bhutanese |
Family Households | Exceptional 65.9% | Exceptional 65.9% |
Family Households with Children | Exceptional 29.4% | Fair 27.3% |
Married-couple Households | Tragic 45.2% | Exceptional 49.3% |
Average Family Size | Exceptional 3.35 | Excellent 3.25 |
Single Father Households | Tragic 2.8% | Exceptional 2.1% |
Single Mother Households | Tragic 7.4% | Exceptional 5.3% |
Currently Married | Tragic 44.5% | Exceptional 48.6% |
Divorced or Separated | Good 12.0% | Exceptional 11.2% |
Births to Unmarried Women | Tragic 35.2% | Exceptional 27.9% |
Japanese vs Bhutanese Vehicle Availability
When considering vehicle availability, the most significant differences between Japanese and Bhutanese communities in the United States are seen in no vehicles in household (9.4% compared to 8.7%, a difference of 8.2%), 2 or more vehicles in household (57.5% compared to 59.1%, a difference of 2.8%), and 3 or more vehicles in household (21.8% compared to 22.2%, a difference of 2.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 91.4%, a difference of 0.84%), 4 or more vehicles in household (7.7% compared to 7.8%, a difference of 1.4%), and 3 or more vehicles in household (21.8% compared to 22.2%, a difference of 2.1%).
Vehicle Availability Metric | Japanese | Bhutanese |
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 59.1% |
3+ Vehicles Available | Exceptional 21.8% | Exceptional 22.2% |
4+ Vehicles Available | Exceptional 7.7% | Exceptional 7.8% |
Japanese vs Bhutanese Education Level
When considering education level, the most significant differences between Japanese and Bhutanese communities in the United States are seen in no schooling completed (3.3% compared to 1.8%, a difference of 85.9%), professional degree (3.5% compared to 5.4%, a difference of 53.3%), and doctorate degree (1.5% compared to 2.3%, a difference of 52.8%). Conversely, both communities are more comparable in terms of nursery school (96.7% compared to 98.2%, a difference of 1.6%), kindergarten (96.7% compared to 98.2%, a difference of 1.6%), and 1st grade (96.6% compared to 98.2%, a difference of 1.6%).
Education Level Metric | Japanese | Bhutanese |
No Schooling Completed | Tragic 3.3% | Exceptional 1.8% |
Nursery School | Tragic 96.7% | Exceptional 98.2% |
Kindergarten | Tragic 96.7% | Exceptional 98.2% |
1st Grade | Tragic 96.6% | Exceptional 98.2% |
2nd Grade | Tragic 96.5% | Exceptional 98.1% |
3rd Grade | Tragic 96.4% | Exceptional 98.1% |
4th Grade | Tragic 96.0% | Exceptional 97.9% |
5th Grade | Tragic 95.7% | Exceptional 97.7% |
6th Grade | Tragic 95.4% | Exceptional 97.5% |
7th Grade | Tragic 94.0% | Exceptional 96.6% |
8th Grade | Tragic 93.6% | Exceptional 96.4% |
9th Grade | Tragic 92.6% | Exceptional 95.7% |
10th Grade | Tragic 91.2% | Exceptional 94.9% |
11th Grade | Tragic 89.9% | Exceptional 94.0% |
12th Grade, No Diploma | Tragic 88.3% | Exceptional 93.0% |
High School Diploma | Tragic 85.9% | Exceptional 91.2% |
GED/Equivalency | Tragic 82.4% | Exceptional 88.4% |
College, Under 1 year | Tragic 61.5% | Exceptional 70.3% |
College, 1 year or more | Tragic 55.2% | Exceptional 64.6% |
Associate's Degree | Tragic 41.7% | Exceptional 51.4% |
Bachelor's Degree | Tragic 33.3% | Exceptional 42.7% |
Master's Degree | Tragic 12.5% | Exceptional 17.2% |
Professional Degree | Tragic 3.5% | Exceptional 5.4% |
Doctorate Degree | Tragic 1.5% | Exceptional 2.3% |
Japanese vs Bhutanese Disability
When considering disability, the most significant differences between Japanese and Bhutanese communities in the United States are seen in disability age 35 to 64 (12.3% compared to 9.8%, a difference of 25.5%), disability age 5 to 17 (6.1% compared to 4.9%, a difference of 23.7%), and vision disability (2.4% compared to 2.0%, a difference of 20.4%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.2%, a difference of 0.67%), hearing disability (3.0% compared to 3.2%, a difference of 6.7%), and disability age over 75 (50.2% compared to 47.1%, a difference of 6.7%).
Disability Metric | Japanese | Bhutanese |
Disability | Tragic 12.2% | Exceptional 11.2% |
Males | Tragic 11.7% | Excellent 11.0% |
Females | Tragic 12.6% | Exceptional 11.5% |
Age | Under 5 years | Exceptional 1.2% | Exceptional 1.2% |
Age | 5 to 17 years | Tragic 6.1% | Exceptional 4.9% |
Age | 18 to 34 years | Poor 6.8% | Exceptional 6.2% |
Age | 35 to 64 years | Tragic 12.3% | Exceptional 9.8% |
Age | 65 to 74 years | Tragic 25.7% | Exceptional 21.5% |
Age | Over 75 years | Tragic 50.2% | Good 47.1% |
Vision | Tragic 2.4% | Exceptional 2.0% |
Hearing | Average 3.0% | Tragic 3.2% |
Cognitive | Tragic 18.3% | Exceptional 16.6% |
Ambulatory | Poor 6.3% | Exceptional 5.8% |
Self-Care | Tragic 2.7% | Exceptional 2.4% |