Bangladeshi vs German Community Comparison
COMPARE
Bangladeshi
German
Social Comparison
Social Comparison
Bangladeshis
Germans
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
6,819
SOCIAL INDEX
65.7/ 100
SOCIAL RATING
140th/ 347
SOCIAL RANK
German Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 141,418,522 people shows a poor negative correlation between the proportion of Germans within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.134. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.085% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 84.6 Germans.
Bangladeshi vs German Income
When considering income, the most significant differences between Bangladeshi and German communities in the United States are seen in wage/income gap (22.2% compared to 29.2%, a difference of 31.6%), per capita income ($35,897 compared to $43,067, a difference of 20.0%), and median male earnings ($46,744 compared to $54,974, a difference of 17.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $37,986, a difference of 5.6%), householder income under 25 years ($47,589 compared to $50,804, a difference of 6.8%), and householder income over 65 years ($54,719 compared to $59,730, a difference of 9.2%).
Income Metric | Bangladeshi | German |
Per Capita Income | Tragic $35,897 | Fair $43,067 |
Median Family Income | Tragic $88,358 | Average $102,254 |
Median Household Income | Tragic $74,112 | Fair $83,358 |
Median Earnings | Tragic $41,263 | Fair $45,935 |
Median Male Earnings | Tragic $46,744 | Good $54,974 |
Median Female Earnings | Tragic $35,960 | Tragic $37,986 |
Householder Age | Under 25 years | Tragic $47,589 | Tragic $50,804 |
Householder Age | 25 - 44 years | Tragic $81,363 | Fair $93,531 |
Householder Age | 45 - 64 years | Tragic $86,402 | Average $100,224 |
Householder Age | Over 65 years | Tragic $54,719 | Fair $59,730 |
Wage/Income Gap | Exceptional 22.2% | Tragic 29.2% |
Bangladeshi vs German Poverty
When considering poverty, the most significant differences between Bangladeshi and German communities in the United States are seen in receiving food stamps (15.0% compared to 9.7%, a difference of 54.4%), married-couple family poverty (6.0% compared to 4.0%, a difference of 48.9%), and family poverty (10.9% compared to 7.7%, a difference of 42.3%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.9%, a difference of 4.4%), single mother poverty (31.7% compared to 30.0%, a difference of 5.8%), and female poverty among 18-24 year olds (22.5% compared to 20.4%, a difference of 9.9%).
Poverty Metric | Bangladeshi | German |
Poverty | Tragic 14.8% | Exceptional 11.1% |
Families | Tragic 10.9% | Exceptional 7.7% |
Males | Tragic 13.6% | Exceptional 10.1% |
Females | Tragic 16.0% | Exceptional 12.2% |
Females 18 to 24 years | Tragic 22.5% | Fair 20.4% |
Females 25 to 34 years | Tragic 15.9% | Average 13.6% |
Children Under 5 years | Tragic 20.6% | Excellent 16.5% |
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 14.9% |
Single Males | Tragic 13.3% | Tragic 13.9% |
Single Females | Tragic 24.2% | Tragic 21.8% |
Single Fathers | Exceptional 15.2% | Tragic 17.7% |
Single Mothers | Tragic 31.7% | Tragic 30.0% |
Married Couples | Tragic 6.0% | Exceptional 4.0% |
Seniors Over 65 years | Fair 11.2% | Exceptional 9.0% |
Seniors Over 75 years | Good 12.0% | Exceptional 10.4% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 9.7% |
Bangladeshi vs German Unemployment
When considering unemployment, the most significant differences between Bangladeshi and German communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.2%, a difference of 25.4%), unemployment (5.4% compared to 4.5%, a difference of 21.0%), and male unemployment (5.7% compared to 4.7%, a difference of 20.8%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.3% compared to 5.3%, a difference of 0.12%), unemployment among ages 60 to 64 years (4.6% compared to 4.5%, a difference of 1.9%), and unemployment among ages 25 to 29 years (6.6% compared to 6.5%, a difference of 2.8%).
Unemployment Metric | Bangladeshi | German |
Unemployment | Poor 5.4% | Exceptional 4.5% |
Males | Tragic 5.7% | Exceptional 4.7% |
Females | Good 5.2% | Exceptional 4.5% |
Youth < 25 | Average 11.6% | Exceptional 10.5% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 15.7% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 9.6% |
Age | 25 to 29 years | Average 6.6% | Excellent 6.5% |
Age | 30 to 34 years | Good 5.3% | Good 5.3% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.3% |
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 4.5% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.1% |
Seniors > 65 | Fair 5.2% | Exceptional 4.9% |
Seniors > 75 | Tragic 9.6% | Tragic 10.3% |
Women w/ Children < 6 | Good 7.5% | Tragic 8.0% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Tragic 9.2% |
Women w/ Children < 18 | Good 5.3% | Exceptional 4.9% |
Bangladeshi vs German Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and German communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 44.2%, a difference of 4.0%), in labor force | age > 16 (65.9% compared to 64.4%, a difference of 2.4%), and in labor force | age 45-54 (81.3% compared to 83.1%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.3%, a difference of 0.22%), in labor force | age 20-64 (79.3% compared to 79.7%, a difference of 0.46%), and in labor force | age 20-24 (78.1% compared to 78.6%, a difference of 0.60%).
Labor Participation Metric | Bangladeshi | German |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 64.4% |
In Labor Force | Age 20-64 | Poor 79.3% | Good 79.7% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 44.2% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 78.6% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Exceptional 85.3% |
In Labor Force | Age 30-34 | Tragic 84.3% | Good 84.8% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 81.3% | Excellent 83.1% |
Bangladeshi vs German Family Structure
When considering family structure, the most significant differences between Bangladeshi and German communities in the United States are seen in single mother households (8.1% compared to 5.8%, a difference of 41.5%), single father households (3.1% compared to 2.4%, a difference of 29.1%), and currently married (43.7% compared to 49.6%, a difference of 13.5%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.4%, a difference of 0.30%), divorced or separated (12.3% compared to 12.5%, a difference of 1.6%), and births to unmarried women (34.4% compared to 32.0%, a difference of 7.6%).
Family Structure Metric | Bangladeshi | German |
Family Households | Average 64.3% | Good 64.4% |
Family Households with Children | Exceptional 30.1% | Tragic 27.1% |
Married-couple Households | Tragic 43.5% | Exceptional 49.2% |
Average Family Size | Exceptional 3.37 | Tragic 3.09 |
Single Father Households | Tragic 3.1% | Fair 2.4% |
Single Mother Households | Tragic 8.1% | Exceptional 5.8% |
Currently Married | Tragic 43.7% | Exceptional 49.6% |
Divorced or Separated | Poor 12.3% | Tragic 12.5% |
Births to Unmarried Women | Tragic 34.4% | Fair 32.0% |
Bangladeshi vs German Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and German communities in the United States are seen in no vehicles in household (8.7% compared to 6.7%, a difference of 29.8%), 2 or more vehicles in household (58.4% compared to 61.6%, a difference of 5.4%), and 3 or more vehicles in household (21.9% compared to 22.7%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.6% compared to 7.5%, a difference of 1.3%), 1 or more vehicles in household (91.4% compared to 93.6%, a difference of 2.5%), and 3 or more vehicles in household (21.9% compared to 22.7%, a difference of 4.0%).
Vehicle Availability Metric | Bangladeshi | German |
No Vehicles Available | Exceptional 8.7% | Exceptional 6.7% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 93.6% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 61.6% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 22.7% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 7.5% |
Bangladeshi vs German Education Level
When considering education level, the most significant differences between Bangladeshi and German communities in the United States are seen in no schooling completed (3.5% compared to 1.4%, a difference of 161.2%), doctorate degree (1.2% compared to 1.8%, a difference of 47.2%), and master's degree (10.5% compared to 14.0%, a difference of 33.8%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.7%, a difference of 2.2%), kindergarten (96.6% compared to 98.7%, a difference of 2.2%), and 1st grade (96.5% compared to 98.7%, a difference of 2.2%).
Education Level Metric | Bangladeshi | German |
No Schooling Completed | Tragic 3.5% | Exceptional 1.4% |
Nursery School | Tragic 96.6% | Exceptional 98.7% |
Kindergarten | Tragic 96.6% | Exceptional 98.7% |
1st Grade | Tragic 96.5% | Exceptional 98.7% |
2nd Grade | Tragic 96.5% | Exceptional 98.7% |
3rd Grade | Tragic 96.3% | Exceptional 98.6% |
4th Grade | Tragic 96.1% | Exceptional 98.5% |
5th Grade | Tragic 95.9% | Exceptional 98.4% |
6th Grade | Tragic 95.7% | Exceptional 98.2% |
7th Grade | Tragic 94.5% | Exceptional 97.7% |
8th Grade | Tragic 94.3% | Exceptional 97.5% |
9th Grade | Tragic 93.4% | Exceptional 96.7% |
10th Grade | Tragic 92.2% | Exceptional 95.8% |
11th Grade | Tragic 90.9% | Exceptional 94.7% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 93.3% |
High School Diploma | Tragic 86.9% | Exceptional 91.7% |
GED/Equivalency | Tragic 83.1% | Exceptional 87.9% |
College, Under 1 year | Tragic 61.4% | Average 65.6% |
College, 1 year or more | Tragic 54.5% | Fair 58.9% |
Associate's Degree | Tragic 40.0% | Fair 45.5% |
Bachelor's Degree | Tragic 30.2% | Poor 36.1% |
Master's Degree | Tragic 10.5% | Poor 14.0% |
Professional Degree | Tragic 3.1% | Poor 4.1% |
Doctorate Degree | Tragic 1.2% | Fair 1.8% |
Bangladeshi vs German Disability
When considering disability, the most significant differences between Bangladeshi and German communities in the United States are seen in disability age under 5 (1.3% compared to 1.7%, a difference of 33.6%), hearing disability (3.2% compared to 3.7%, a difference of 17.9%), and self-care disability (2.8% compared to 2.4%, a difference of 16.2%). Conversely, both communities are more comparable in terms of female disability (13.1% compared to 12.9%, a difference of 1.2%), disability (12.6% compared to 12.8%, a difference of 2.1%), and ambulatory disability (6.3% compared to 6.5%, a difference of 3.1%).
Disability Metric | Bangladeshi | German |
Disability | Tragic 12.6% | Tragic 12.8% |
Males | Tragic 12.0% | Tragic 12.7% |
Females | Tragic 13.1% | Tragic 12.9% |
Age | Under 5 years | Poor 1.3% | Tragic 1.7% |
Age | 5 to 17 years | Tragic 5.8% | Tragic 6.1% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.7% |
Age | 35 to 64 years | Tragic 13.6% | Tragic 12.3% |
Age | 65 to 74 years | Tragic 26.8% | Average 23.3% |
Age | Over 75 years | Tragic 49.4% | Exceptional 46.3% |
Vision | Tragic 2.3% | Poor 2.2% |
Hearing | Tragic 3.2% | Tragic 3.7% |
Cognitive | Tragic 18.6% | Exceptional 16.7% |
Ambulatory | Poor 6.3% | Tragic 6.5% |
Self-Care | Tragic 2.8% | Excellent 2.4% |