Bangladeshi vs Swiss Community Comparison
COMPARE
Bangladeshi
Swiss
Social Comparison
Social Comparison
Bangladeshis
Swiss
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
7,517
SOCIAL INDEX
72.7/ 100
SOCIAL RATING
114th/ 347
SOCIAL RANK
Swiss Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 135,915,510 people shows no correlation between the proportion of Swiss within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.018. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.001% in Swiss. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 0.8 Swiss.
Bangladeshi vs Swiss Income
When considering income, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in wage/income gap (22.2% compared to 30.0%, a difference of 35.2%), per capita income ($35,897 compared to $44,076, a difference of 22.8%), and householder income ages 45 - 64 years ($86,402 compared to $103,071, a difference of 19.3%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $37,904, a difference of 5.4%), householder income under 25 years ($47,589 compared to $51,493, a difference of 8.2%), and median earnings ($41,263 compared to $46,315, a difference of 12.2%).
Income Metric | Bangladeshi | Swiss |
Per Capita Income | Tragic $35,897 | Good $44,076 |
Median Family Income | Tragic $88,358 | Good $104,396 |
Median Household Income | Tragic $74,112 | Average $85,681 |
Median Earnings | Tragic $41,263 | Average $46,315 |
Median Male Earnings | Tragic $46,744 | Good $55,731 |
Median Female Earnings | Tragic $35,960 | Tragic $37,904 |
Householder Age | Under 25 years | Tragic $47,589 | Poor $51,493 |
Householder Age | 25 - 44 years | Tragic $81,363 | Good $95,511 |
Householder Age | 45 - 64 years | Tragic $86,402 | Good $103,071 |
Householder Age | Over 65 years | Tragic $54,719 | Good $61,621 |
Wage/Income Gap | Exceptional 22.2% | Tragic 30.0% |
Bangladeshi vs Swiss Poverty
When considering poverty, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in receiving food stamps (15.0% compared to 9.7%, a difference of 55.1%), family poverty (10.9% compared to 7.7%, a difference of 41.2%), and married-couple family poverty (6.0% compared to 4.3%, a difference of 40.2%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.8%, a difference of 3.2%), single mother poverty (31.7% compared to 29.7%, a difference of 6.8%), and female poverty among 18-24 year olds (22.5% compared to 20.2%, a difference of 11.4%).
Poverty Metric | Bangladeshi | Swiss |
Poverty | Tragic 14.8% | Exceptional 11.2% |
Families | Tragic 10.9% | Exceptional 7.7% |
Males | Tragic 13.6% | Exceptional 10.2% |
Females | Tragic 16.0% | Exceptional 12.2% |
Females 18 to 24 years | Tragic 22.5% | Average 20.2% |
Females 25 to 34 years | Tragic 15.9% | Good 13.4% |
Children Under 5 years | Tragic 20.6% | Exceptional 16.1% |
Children Under 16 years | Tragic 19.9% | Exceptional 14.5% |
Boys Under 16 years | Tragic 20.0% | Exceptional 14.8% |
Girls Under 16 years | Tragic 20.0% | Exceptional 14.8% |
Single Males | Tragic 13.3% | Tragic 13.8% |
Single Females | Tragic 24.2% | Fair 21.4% |
Single Fathers | Exceptional 15.2% | Tragic 17.3% |
Single Mothers | Tragic 31.7% | Poor 29.7% |
Married Couples | Tragic 6.0% | Exceptional 4.3% |
Seniors Over 65 years | Fair 11.2% | Exceptional 9.2% |
Seniors Over 75 years | Good 12.0% | Exceptional 10.7% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 9.7% |
Bangladeshi vs Swiss Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.0%, a difference of 22.8%), male unemployment (5.7% compared to 4.7%, a difference of 20.4%), and unemployment (5.4% compared to 4.5%, a difference of 19.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.25%), unemployment among seniors over 75 years (9.6% compared to 9.5%, a difference of 0.78%), and unemployment among ages 30 to 34 years (5.3% compared to 5.3%, a difference of 1.1%).
Unemployment Metric | Bangladeshi | Swiss |
Unemployment | Poor 5.4% | Exceptional 4.5% |
Males | Tragic 5.7% | Exceptional 4.7% |
Females | Good 5.2% | Exceptional 4.6% |
Youth < 25 | Average 11.6% | Exceptional 10.6% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 15.8% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 9.7% |
Age | 25 to 29 years | Average 6.6% | Excellent 6.4% |
Age | 30 to 34 years | Good 5.3% | Excellent 5.3% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.4% |
Age | 45 to 54 years | Average 4.5% | Exceptional 4.1% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.5% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.6% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.1% |
Seniors > 65 | Fair 5.2% | Exceptional 4.8% |
Seniors > 75 | Tragic 9.6% | Tragic 9.5% |
Women w/ Children < 6 | Good 7.5% | Poor 7.9% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Fair 9.0% |
Women w/ Children < 18 | Good 5.3% | Exceptional 4.9% |
Bangladeshi vs Swiss Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in in labor force | age > 16 (65.9% compared to 64.4%, a difference of 2.4%), in labor force | age 16-19 (42.5% compared to 43.3%, a difference of 1.9%), and in labor force | age 45-54 (81.3% compared to 82.8%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.1% compared to 84.2%, a difference of 0.050%), in labor force | age 30-34 (84.3% compared to 84.3%, a difference of 0.090%), and in labor force | age 20-64 (79.3% compared to 79.4%, a difference of 0.15%).
Labor Participation Metric | Bangladeshi | Swiss |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 64.4% |
In Labor Force | Age 20-64 | Poor 79.3% | Fair 79.4% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 43.3% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 77.7% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Good 84.7% |
In Labor Force | Age 30-34 | Tragic 84.3% | Tragic 84.3% |
In Labor Force | Age 35-44 | Poor 84.1% | Poor 84.2% |
In Labor Force | Age 45-54 | Tragic 81.3% | Average 82.8% |
Bangladeshi vs Swiss Family Structure
When considering family structure, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in single mother households (8.1% compared to 5.6%, a difference of 44.6%), single father households (3.1% compared to 2.3%, a difference of 33.9%), and married-couple households (43.5% compared to 49.9%, a difference of 14.7%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 65.2%, a difference of 1.5%), divorced or separated (12.3% compared to 12.0%, a difference of 2.4%), and average family size (3.37 compared to 3.15, a difference of 6.9%).
Family Structure Metric | Bangladeshi | Swiss |
Family Households | Average 64.3% | Exceptional 65.2% |
Family Households with Children | Exceptional 30.1% | Excellent 27.7% |
Married-couple Households | Tragic 43.5% | Exceptional 49.9% |
Average Family Size | Exceptional 3.37 | Tragic 3.15 |
Single Father Households | Tragic 3.1% | Good 2.3% |
Single Mother Households | Tragic 8.1% | Exceptional 5.6% |
Currently Married | Tragic 43.7% | Exceptional 49.7% |
Divorced or Separated | Poor 12.3% | Good 12.0% |
Births to Unmarried Women | Tragic 34.4% | Excellent 30.5% |
Bangladeshi vs Swiss Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in no vehicles in household (8.7% compared to 7.9%, a difference of 10.3%), 3 or more vehicles in household (21.9% compared to 23.0%, a difference of 5.2%), and 2 or more vehicles in household (58.4% compared to 61.0%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 92.3%, a difference of 1.0%), 4 or more vehicles in household (7.6% compared to 7.8%, a difference of 2.7%), and 2 or more vehicles in household (58.4% compared to 61.0%, a difference of 4.3%).
Vehicle Availability Metric | Bangladeshi | Swiss |
No Vehicles Available | Exceptional 8.7% | Exceptional 7.9% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 92.3% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 61.0% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 23.0% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 7.8% |
Bangladeshi vs Swiss Education Level
When considering education level, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in no schooling completed (3.5% compared to 1.5%, a difference of 131.8%), doctorate degree (1.2% compared to 2.0%, a difference of 62.9%), and professional degree (3.1% compared to 4.5%, a difference of 45.0%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.6%, a difference of 2.0%), kindergarten (96.6% compared to 98.5%, a difference of 2.0%), and 1st grade (96.5% compared to 98.5%, a difference of 2.1%).
Education Level Metric | Bangladeshi | Swiss |
No Schooling Completed | Tragic 3.5% | Exceptional 1.5% |
Nursery School | Tragic 96.6% | Exceptional 98.6% |
Kindergarten | Tragic 96.6% | Exceptional 98.5% |
1st Grade | Tragic 96.5% | Exceptional 98.5% |
2nd Grade | Tragic 96.5% | Exceptional 98.5% |
3rd Grade | Tragic 96.3% | Exceptional 98.4% |
4th Grade | Tragic 96.1% | Exceptional 98.2% |
5th Grade | Tragic 95.9% | Exceptional 98.1% |
6th Grade | Tragic 95.7% | Exceptional 97.9% |
7th Grade | Tragic 94.5% | Exceptional 97.3% |
8th Grade | Tragic 94.3% | Exceptional 97.0% |
9th Grade | Tragic 93.4% | Exceptional 95.7% |
10th Grade | Tragic 92.2% | Exceptional 94.7% |
11th Grade | Tragic 90.9% | Exceptional 93.6% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 92.3% |
High School Diploma | Tragic 86.9% | Exceptional 90.6% |
GED/Equivalency | Tragic 83.1% | Exceptional 87.0% |
College, Under 1 year | Tragic 61.4% | Average 65.5% |
College, 1 year or more | Tragic 54.5% | Average 59.2% |
Associate's Degree | Tragic 40.0% | Average 46.0% |
Bachelor's Degree | Tragic 30.2% | Fair 37.2% |
Master's Degree | Tragic 10.5% | Average 14.7% |
Professional Degree | Tragic 3.1% | Good 4.5% |
Doctorate Degree | Tragic 1.2% | Excellent 2.0% |
Bangladeshi vs Swiss Disability
When considering disability, the most significant differences between Bangladeshi and Swiss communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 26.8%), self-care disability (2.8% compared to 2.4%, a difference of 19.0%), and disability age 35 to 64 (13.6% compared to 11.6%, a difference of 17.4%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.090%), disability age 18 to 34 (7.4% compared to 7.4%, a difference of 0.25%), and male disability (12.0% compared to 12.1%, a difference of 0.53%).
Disability Metric | Bangladeshi | Swiss |
Disability | Tragic 12.6% | Tragic 12.2% |
Males | Tragic 12.0% | Tragic 12.1% |
Females | Tragic 13.1% | Poor 12.4% |
Age | Under 5 years | Poor 1.3% | Tragic 1.6% |
Age | 5 to 17 years | Tragic 5.8% | Tragic 5.8% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.4% |
Age | 35 to 64 years | Tragic 13.6% | Poor 11.6% |
Age | 65 to 74 years | Tragic 26.8% | Good 22.9% |
Age | Over 75 years | Tragic 49.4% | Exceptional 46.2% |
Vision | Tragic 2.3% | Average 2.2% |
Hearing | Tragic 3.2% | Tragic 3.5% |
Cognitive | Tragic 18.6% | Exceptional 16.7% |
Ambulatory | Poor 6.3% | Average 6.1% |
Self-Care | Tragic 2.8% | Exceptional 2.4% |