Bangladeshi vs Northern European Community Comparison
COMPARE
Bangladeshi
Northern European
Social Comparison
Social Comparison
Bangladeshis
Northern Europeans
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
8,451
SOCIAL INDEX
82.0/ 100
SOCIAL RATING
71st/ 347
SOCIAL RANK
Northern European Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 130,923,835 people shows a poor negative correlation between the proportion of Northern Europeans within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.172. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.003% in Northern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 2.8 Northern Europeans.
Bangladeshi vs Northern European Income
When considering income, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in per capita income ($35,897 compared to $47,698, a difference of 32.9%), wage/income gap (22.2% compared to 28.3%, a difference of 27.6%), and median male earnings ($46,744 compared to $58,588, a difference of 25.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $51,678, a difference of 8.6%), median female earnings ($35,960 compared to $40,491, a difference of 12.6%), and householder income over 65 years ($54,719 compared to $64,658, a difference of 18.2%).
Income Metric | Bangladeshi | Northern European |
Per Capita Income | Tragic $35,897 | Exceptional $47,698 |
Median Family Income | Tragic $88,358 | Exceptional $110,635 |
Median Household Income | Tragic $74,112 | Exceptional $90,446 |
Median Earnings | Tragic $41,263 | Exceptional $48,887 |
Median Male Earnings | Tragic $46,744 | Exceptional $58,588 |
Median Female Earnings | Tragic $35,960 | Excellent $40,491 |
Householder Age | Under 25 years | Tragic $47,589 | Fair $51,678 |
Householder Age | 25 - 44 years | Tragic $81,363 | Exceptional $100,457 |
Householder Age | 45 - 64 years | Tragic $86,402 | Exceptional $107,870 |
Householder Age | Over 65 years | Tragic $54,719 | Exceptional $64,658 |
Wage/Income Gap | Exceptional 22.2% | Tragic 28.3% |
Bangladeshi vs Northern European Poverty
When considering poverty, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in receiving food stamps (15.0% compared to 9.8%, a difference of 52.9%), married-couple family poverty (6.0% compared to 4.3%, a difference of 41.0%), and family poverty (10.9% compared to 7.8%, a difference of 39.4%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.0%, a difference of 2.3%), single father poverty (15.2% compared to 16.3%, a difference of 7.1%), and female poverty among 18-24 year olds (22.5% compared to 20.6%, a difference of 9.0%).
Poverty Metric | Bangladeshi | Northern European |
Poverty | Tragic 14.8% | Exceptional 11.4% |
Families | Tragic 10.9% | Exceptional 7.8% |
Males | Tragic 13.6% | Exceptional 10.4% |
Females | Tragic 16.0% | Exceptional 12.4% |
Females 18 to 24 years | Tragic 22.5% | Poor 20.6% |
Females 25 to 34 years | Tragic 15.9% | Good 13.2% |
Children Under 5 years | Tragic 20.6% | Exceptional 16.0% |
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% | Poor 13.0% |
Single Females | Tragic 24.2% | Good 20.8% |
Single Fathers | Exceptional 15.2% | Average 16.3% |
Single Mothers | Tragic 31.7% | Excellent 28.6% |
Married Couples | Tragic 6.0% | Exceptional 4.3% |
Seniors Over 65 years | Fair 11.2% | Exceptional 9.4% |
Seniors Over 75 years | Good 12.0% | Exceptional 10.7% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 9.8% |
Bangladeshi vs Northern European Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.8%, a difference of 19.1%), male unemployment (5.7% compared to 4.9%, a difference of 15.4%), and unemployment (5.4% compared to 4.8%, a difference of 13.1%). 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 0.040%), unemployment among ages 20 to 24 years (10.0% compared to 10.1%, a difference of 0.86%), and unemployment among ages 30 to 34 years (5.3% compared to 5.3%, a difference of 1.4%).
Unemployment Metric | Bangladeshi | Northern European |
Unemployment | Poor 5.4% | Exceptional 4.8% |
Males | Tragic 5.7% | Exceptional 4.9% |
Females | Good 5.2% | Exceptional 4.8% |
Youth < 25 | Average 11.6% | Exceptional 11.2% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 16.6% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 10.1% |
Age | 25 to 29 years | Average 6.6% | Good 6.5% |
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 4.2% |
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 5.2% |
Seniors > 65 | Fair 5.2% | Exceptional 4.9% |
Seniors > 75 | Tragic 9.6% | Tragic 9.1% |
Women w/ Children < 6 | Good 7.5% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Excellent 8.8% |
Women w/ Children < 18 | Good 5.3% | Exceptional 5.0% |
Bangladeshi vs Northern European Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.2%, a difference of 5.6%), in labor force | age > 16 (65.9% compared to 64.7%, a difference of 1.9%), and in labor force | age 20-24 (78.1% compared to 76.8%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.3% compared to 79.5%, a difference of 0.20%), in labor force | age 25-29 (85.1% compared to 84.9%, a difference of 0.23%), and in labor force | age 35-44 (84.1% compared to 84.3%, a difference of 0.26%).
Labor Participation Metric | Bangladeshi | Northern European |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 64.7% |
In Labor Force | Age 20-64 | Poor 79.3% | Fair 79.5% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 40.2% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 76.8% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Excellent 84.9% |
In Labor Force | Age 30-34 | Tragic 84.3% | Good 84.8% |
In Labor Force | Age 35-44 | Poor 84.1% | Average 84.3% |
In Labor Force | Age 45-54 | Tragic 81.3% | Average 82.7% |
Bangladeshi vs Northern European Family Structure
When considering family structure, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in single mother households (8.1% compared to 5.8%, a difference of 41.4%), single father households (3.1% compared to 2.2%, a difference of 36.8%), and births to unmarried women (34.4% compared to 30.6%, a difference of 12.6%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.1%, a difference of 0.24%), divorced or separated (12.3% compared to 12.2%, a difference of 0.33%), and average family size (3.37 compared to 3.13, a difference of 7.7%).
Family Structure Metric | Bangladeshi | Northern European |
Family Households | Average 64.3% | Fair 64.1% |
Family Households with Children | Exceptional 30.1% | Poor 27.2% |
Married-couple Households | Tragic 43.5% | Exceptional 48.4% |
Average Family Size | Exceptional 3.37 | Tragic 3.13 |
Single Father Households | Tragic 3.1% | Excellent 2.2% |
Single Mother Households | Tragic 8.1% | Exceptional 5.8% |
Currently Married | Tragic 43.7% | Exceptional 48.7% |
Divorced or Separated | Poor 12.3% | Poor 12.2% |
Births to Unmarried Women | Tragic 34.4% | Excellent 30.6% |
Bangladeshi vs Northern European Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in no vehicles in household (8.7% compared to 7.9%, a difference of 9.3%), 4 or more vehicles in household (7.6% compared to 7.3%, a difference of 3.6%), and 2 or more vehicles in household (58.4% compared to 59.9%, a difference of 2.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.9% compared to 22.0%, a difference of 0.63%), 1 or more vehicles in household (91.4% compared to 92.2%, a difference of 0.89%), and 2 or more vehicles in household (58.4% compared to 59.9%, a difference of 2.4%).
Vehicle Availability Metric | Bangladeshi | Northern European |
No Vehicles Available | Exceptional 8.7% | Exceptional 7.9% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 92.2% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 59.9% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 22.0% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 7.3% |
Bangladeshi vs Northern European Education Level
When considering education level, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in no schooling completed (3.5% compared to 1.6%, a difference of 124.3%), doctorate degree (1.2% compared to 2.2%, a difference of 84.3%), and professional degree (3.1% compared to 5.2%, a difference of 68.6%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.5%, 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 2.0%).
Education Level Metric | Bangladeshi | Northern European |
No Schooling Completed | Tragic 3.5% | Exceptional 1.6% |
Nursery School | Tragic 96.6% | Exceptional 98.5% |
Kindergarten | Tragic 96.6% | Exceptional 98.5% |
1st Grade | Tragic 96.5% | Exceptional 98.5% |
2nd Grade | Tragic 96.5% | Exceptional 98.4% |
3rd Grade | Tragic 96.3% | Exceptional 98.3% |
4th Grade | Tragic 96.1% | Exceptional 98.2% |
5th Grade | Tragic 95.9% | Exceptional 98.0% |
6th Grade | Tragic 95.7% | Exceptional 97.8% |
7th Grade | Tragic 94.5% | Exceptional 97.1% |
8th Grade | Tragic 94.3% | Exceptional 96.9% |
9th Grade | Tragic 93.4% | Exceptional 96.2% |
10th Grade | Tragic 92.2% | Exceptional 95.3% |
11th Grade | Tragic 90.9% | Exceptional 94.2% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 92.9% |
High School Diploma | Tragic 86.9% | Exceptional 91.3% |
GED/Equivalency | Tragic 83.1% | Exceptional 87.9% |
College, Under 1 year | Tragic 61.4% | Exceptional 69.0% |
College, 1 year or more | Tragic 54.5% | Exceptional 62.9% |
Associate's Degree | Tragic 40.0% | Exceptional 49.5% |
Bachelor's Degree | Tragic 30.2% | Exceptional 41.0% |
Master's Degree | Tragic 10.5% | Exceptional 16.7% |
Professional Degree | Tragic 3.1% | Exceptional 5.2% |
Doctorate Degree | Tragic 1.2% | Exceptional 2.2% |
Bangladeshi vs Northern European Disability
When considering disability, the most significant differences between Bangladeshi and Northern European communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 20.5%), disability age 35 to 64 (13.6% compared to 11.4%, a difference of 19.4%), and disability age 65 to 74 (26.8% compared to 22.6%, a difference of 18.6%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (7.4% compared to 7.3%, a difference of 0.83%), male disability (12.0% compared to 11.9%, a difference of 0.96%), and disability age 5 to 17 (5.8% compared to 5.7%, a difference of 1.5%).
Disability Metric | Bangladeshi | Northern European |
Disability | Tragic 12.6% | Tragic 12.1% |
Males | Tragic 12.0% | Tragic 11.9% |
Females | Tragic 13.1% | Fair 12.3% |
Age | Under 5 years | Poor 1.3% | Tragic 1.6% |
Age | 5 to 17 years | Tragic 5.8% | Poor 5.7% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.3% |
Age | 35 to 64 years | Tragic 13.6% | Fair 11.4% |
Age | 65 to 74 years | Tragic 26.8% | Excellent 22.6% |
Age | Over 75 years | Tragic 49.4% | Exceptional 46.3% |
Vision | Tragic 2.3% | Average 2.2% |
Hearing | Tragic 3.2% | Tragic 3.4% |
Cognitive | Tragic 18.6% | Exceptional 16.8% |
Ambulatory | Poor 6.3% | Good 6.0% |
Self-Care | Tragic 2.8% | Exceptional 2.4% |