Swiss vs Bangladeshi Community Comparison
COMPARE
Swiss
Bangladeshi
Social Comparison
Social Comparison
Swiss
Bangladeshis
7,517
SOCIAL INDEX
72.7/ 100
SOCIAL RATING
114th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
Bangladeshi Integration in Swiss Communities
The statistical analysis conducted on geographies consisting of 135,917,516 people shows a slight negative correlation between the proportion of Bangladeshis within Swiss communities in the United States with a correlation coefficient (R) of -0.068. On average, for every 1% (one percent) increase in Swiss within a typical geography, there is a decrease of 0.012% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Swiss corresponds to a decrease of 11.7 Bangladeshis.
Swiss vs Bangladeshi Income
When considering income, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in wage/income gap (30.0% compared to 22.2%, a difference of 35.2%), per capita income ($44,076 compared to $35,897, a difference of 22.8%), and householder income ages 45 - 64 years ($103,071 compared to $86,402, a difference of 19.3%). Conversely, both communities are more comparable in terms of median female earnings ($37,904 compared to $35,960, a difference of 5.4%), householder income under 25 years ($51,493 compared to $47,589, a difference of 8.2%), and median earnings ($46,315 compared to $41,263, a difference of 12.2%).
Income Metric | Swiss | Bangladeshi |
Per Capita Income | Good $44,076 | Tragic $35,897 |
Median Family Income | Good $104,396 | Tragic $88,358 |
Median Household Income | Average $85,681 | Tragic $74,112 |
Median Earnings | Average $46,315 | Tragic $41,263 |
Median Male Earnings | Good $55,731 | Tragic $46,744 |
Median Female Earnings | Tragic $37,904 | Tragic $35,960 |
Householder Age | Under 25 years | Poor $51,493 | Tragic $47,589 |
Householder Age | 25 - 44 years | Good $95,511 | Tragic $81,363 |
Householder Age | 45 - 64 years | Good $103,071 | Tragic $86,402 |
Householder Age | Over 65 years | Good $61,621 | Tragic $54,719 |
Wage/Income Gap | Tragic 30.0% | Exceptional 22.2% |
Swiss vs Bangladeshi Poverty
When considering poverty, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in receiving food stamps (9.7% compared to 15.0%, a difference of 55.1%), family poverty (7.7% compared to 10.9%, a difference of 41.2%), and married-couple family poverty (4.3% compared to 6.0%, a difference of 40.2%). Conversely, both communities are more comparable in terms of single male poverty (13.8% compared to 13.3%, a difference of 3.2%), single mother poverty (29.7% compared to 31.7%, a difference of 6.8%), and female poverty among 18-24 year olds (20.2% compared to 22.5%, a difference of 11.4%).
Poverty Metric | Swiss | Bangladeshi |
Poverty | Exceptional 11.2% | Tragic 14.8% |
Families | Exceptional 7.7% | Tragic 10.9% |
Males | Exceptional 10.2% | Tragic 13.6% |
Females | Exceptional 12.2% | Tragic 16.0% |
Females 18 to 24 years | Average 20.2% | Tragic 22.5% |
Females 25 to 34 years | Good 13.4% | Tragic 15.9% |
Children Under 5 years | Exceptional 16.1% | Tragic 20.6% |
Children Under 16 years | Exceptional 14.5% | Tragic 19.9% |
Boys Under 16 years | Exceptional 14.8% | Tragic 20.0% |
Girls Under 16 years | Exceptional 14.8% | Tragic 20.0% |
Single Males | Tragic 13.8% | Tragic 13.3% |
Single Females | Fair 21.4% | Tragic 24.2% |
Single Fathers | Tragic 17.3% | Exceptional 15.2% |
Single Mothers | Poor 29.7% | Tragic 31.7% |
Married Couples | Exceptional 4.3% | Tragic 6.0% |
Seniors Over 65 years | Exceptional 9.2% | Fair 11.2% |
Seniors Over 75 years | Exceptional 10.7% | Good 12.0% |
Receiving Food Stamps | Exceptional 9.7% | Tragic 15.0% |
Swiss vs Bangladeshi Unemployment
When considering unemployment, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.0% compared to 7.4%, a difference of 22.8%), male unemployment (4.7% compared to 5.7%, a difference of 20.4%), and unemployment (4.5% compared to 5.4%, 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 (9.5% compared to 9.6%, 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 | Swiss | Bangladeshi |
Unemployment | Exceptional 4.5% | Poor 5.4% |
Males | Exceptional 4.7% | Tragic 5.7% |
Females | Exceptional 4.6% | Good 5.2% |
Youth < 25 | Exceptional 10.6% | Average 11.6% |
Age | 16 to 19 years | Exceptional 15.8% | Exceptional 16.9% |
Age | 20 to 24 years | Exceptional 9.7% | Exceptional 10.0% |
Age | 25 to 29 years | Excellent 6.4% | Average 6.6% |
Age | 30 to 34 years | Excellent 5.3% | Good 5.3% |
Age | 35 to 44 years | Exceptional 4.4% | Fair 4.8% |
Age | 45 to 54 years | Exceptional 4.1% | Average 4.5% |
Age | 55 to 59 years | Exceptional 4.5% | Exceptional 4.7% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.6% |
Age | 65 to 74 years | Exceptional 5.1% | Good 5.3% |
Seniors > 65 | Exceptional 4.8% | Fair 5.2% |
Seniors > 75 | Tragic 9.5% | Tragic 9.6% |
Women w/ Children < 6 | Poor 7.9% | Good 7.5% |
Women w/ Children 6 to 17 | Fair 9.0% | Exceptional 7.4% |
Women w/ Children < 18 | Exceptional 4.9% | Good 5.3% |
Swiss vs Bangladeshi Labor Participation
When considering labor participation, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in in labor force | age > 16 (64.4% compared to 65.9%, a difference of 2.4%), in labor force | age 16-19 (43.3% compared to 42.5%, a difference of 1.9%), and in labor force | age 45-54 (82.8% compared to 81.3%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.2% compared to 84.1%, 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 (79.4% compared to 79.3%, a difference of 0.15%).
Labor Participation Metric | Swiss | Bangladeshi |
In Labor Force | Age > 16 | Tragic 64.4% | Exceptional 65.9% |
In Labor Force | Age 20-64 | Fair 79.4% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 43.3% | Exceptional 42.5% |
In Labor Force | Age 20-24 | Exceptional 77.7% | Exceptional 78.1% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 84.3% | Tragic 84.3% |
In Labor Force | Age 35-44 | Poor 84.2% | Poor 84.1% |
In Labor Force | Age 45-54 | Average 82.8% | Tragic 81.3% |
Swiss vs Bangladeshi Family Structure
When considering family structure, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in single mother households (5.6% compared to 8.1%, a difference of 44.6%), single father households (2.3% compared to 3.1%, a difference of 33.9%), and married-couple households (49.9% compared to 43.5%, a difference of 14.7%). Conversely, both communities are more comparable in terms of family households (65.2% compared to 64.3%, a difference of 1.5%), divorced or separated (12.0% compared to 12.3%, a difference of 2.4%), and average family size (3.15 compared to 3.37, a difference of 6.9%).
Family Structure Metric | Swiss | Bangladeshi |
Family Households | Exceptional 65.2% | Average 64.3% |
Family Households with Children | Excellent 27.7% | Exceptional 30.1% |
Married-couple Households | Exceptional 49.9% | Tragic 43.5% |
Average Family Size | Tragic 3.15 | Exceptional 3.37 |
Single Father Households | Good 2.3% | Tragic 3.1% |
Single Mother Households | Exceptional 5.6% | Tragic 8.1% |
Currently Married | Exceptional 49.7% | Tragic 43.7% |
Divorced or Separated | Good 12.0% | Poor 12.3% |
Births to Unmarried Women | Excellent 30.5% | Tragic 34.4% |
Swiss vs Bangladeshi Vehicle Availability
When considering vehicle availability, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in no vehicles in household (7.9% compared to 8.7%, a difference of 10.3%), 3 or more vehicles in household (23.0% compared to 21.9%, a difference of 5.2%), and 2 or more vehicles in household (61.0% compared to 58.4%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.3% compared to 91.4%, a difference of 1.0%), 4 or more vehicles in household (7.8% compared to 7.6%, a difference of 2.7%), and 2 or more vehicles in household (61.0% compared to 58.4%, a difference of 4.3%).
Vehicle Availability Metric | Swiss | Bangladeshi |
No Vehicles Available | Exceptional 7.9% | Exceptional 8.7% |
1+ Vehicles Available | Exceptional 92.3% | Exceptional 91.4% |
2+ Vehicles Available | Exceptional 61.0% | Exceptional 58.4% |
3+ Vehicles Available | Exceptional 23.0% | Exceptional 21.9% |
4+ Vehicles Available | Exceptional 7.8% | Exceptional 7.6% |
Swiss vs Bangladeshi Education Level
When considering education level, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in no schooling completed (1.5% compared to 3.5%, a difference of 131.8%), doctorate degree (2.0% compared to 1.2%, a difference of 62.9%), and professional degree (4.5% compared to 3.1%, a difference of 45.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.6%, a difference of 2.0%), kindergarten (98.5% compared to 96.6%, a difference of 2.0%), and 1st grade (98.5% compared to 96.5%, a difference of 2.1%).
Education Level Metric | Swiss | Bangladeshi |
No Schooling Completed | Exceptional 1.5% | Tragic 3.5% |
Nursery School | Exceptional 98.6% | Tragic 96.6% |
Kindergarten | Exceptional 98.5% | Tragic 96.6% |
1st Grade | Exceptional 98.5% | Tragic 96.5% |
2nd Grade | Exceptional 98.5% | Tragic 96.5% |
3rd Grade | Exceptional 98.4% | Tragic 96.3% |
4th Grade | Exceptional 98.2% | Tragic 96.1% |
5th Grade | Exceptional 98.1% | Tragic 95.9% |
6th Grade | Exceptional 97.9% | Tragic 95.7% |
7th Grade | Exceptional 97.3% | Tragic 94.5% |
8th Grade | Exceptional 97.0% | Tragic 94.3% |
9th Grade | Exceptional 95.7% | Tragic 93.4% |
10th Grade | Exceptional 94.7% | Tragic 92.2% |
11th Grade | Exceptional 93.6% | Tragic 90.9% |
12th Grade, No Diploma | Exceptional 92.3% | Tragic 89.3% |
High School Diploma | Exceptional 90.6% | Tragic 86.9% |
GED/Equivalency | Exceptional 87.0% | Tragic 83.1% |
College, Under 1 year | Average 65.5% | Tragic 61.4% |
College, 1 year or more | Average 59.2% | Tragic 54.5% |
Associate's Degree | Average 46.0% | Tragic 40.0% |
Bachelor's Degree | Fair 37.2% | Tragic 30.2% |
Master's Degree | Average 14.7% | Tragic 10.5% |
Professional Degree | Good 4.5% | Tragic 3.1% |
Doctorate Degree | Excellent 2.0% | Tragic 1.2% |
Swiss vs Bangladeshi Disability
When considering disability, the most significant differences between Swiss and Bangladeshi communities in the United States are seen in disability age under 5 (1.6% compared to 1.3%, a difference of 26.8%), self-care disability (2.4% compared to 2.8%, a difference of 19.0%), and disability age 35 to 64 (11.6% compared to 13.6%, 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 (12.1% compared to 12.0%, a difference of 0.53%).
Disability Metric | Swiss | Bangladeshi |
Disability | Tragic 12.2% | Tragic 12.6% |
Males | Tragic 12.1% | Tragic 12.0% |
Females | Poor 12.4% | Tragic 13.1% |
Age | Under 5 years | Tragic 1.6% | Poor 1.3% |
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 | Poor 11.6% | Tragic 13.6% |
Age | 65 to 74 years | Good 22.9% | Tragic 26.8% |
Age | Over 75 years | Exceptional 46.2% | Tragic 49.4% |
Vision | Average 2.2% | Tragic 2.3% |
Hearing | Tragic 3.5% | Tragic 3.2% |
Cognitive | Exceptional 16.7% | Tragic 18.6% |
Ambulatory | Average 6.1% | Poor 6.3% |
Self-Care | Exceptional 2.4% | Tragic 2.8% |