Hungarian vs Bangladeshi Community Comparison
COMPARE
Hungarian
Bangladeshi
Social Comparison
Social Comparison
Hungarians
Bangladeshis
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
Bangladeshi Integration in Hungarian Communities
The statistical analysis conducted on geographies consisting of 136,657,013 people shows a very strong positive correlation between the proportion of Bangladeshis within Hungarian communities in the United States with a correlation coefficient (R) of 0.818. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 1.195% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 1,194.9 Bangladeshis.
Hungarian vs Bangladeshi Income
When considering income, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in wage/income gap (29.0% compared to 22.2%, a difference of 30.9%), per capita income ($45,426 compared to $35,897, a difference of 26.6%), and median male earnings ($57,309 compared to $46,744, a difference of 22.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,247 compared to $47,589, a difference of 5.6%), median female earnings ($39,510 compared to $35,960, a difference of 9.9%), and householder income over 65 years ($61,673 compared to $54,719, a difference of 12.7%).
Income Metric | Hungarian | Bangladeshi |
Per Capita Income | Excellent $45,426 | Tragic $35,897 |
Median Family Income | Excellent $105,609 | Tragic $88,358 |
Median Household Income | Good $86,920 | Tragic $74,112 |
Median Earnings | Excellent $47,795 | Tragic $41,263 |
Median Male Earnings | Exceptional $57,309 | Tragic $46,744 |
Median Female Earnings | Average $39,510 | Tragic $35,960 |
Householder Age | Under 25 years | Tragic $50,247 | Tragic $47,589 |
Householder Age | 25 - 44 years | Excellent $97,544 | Tragic $81,363 |
Householder Age | 45 - 64 years | Excellent $103,913 | Tragic $86,402 |
Householder Age | Over 65 years | Good $61,673 | Tragic $54,719 |
Wage/Income Gap | Tragic 29.0% | Exceptional 22.2% |
Hungarian vs Bangladeshi Poverty
When considering poverty, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in receiving food stamps (11.0% compared to 15.0%, a difference of 36.5%), family poverty (8.8% compared to 10.9%, a difference of 23.9%), and child poverty under the age of 16 (16.2% compared to 19.9%, a difference of 23.2%). Conversely, both communities are more comparable in terms of single male poverty (13.8% compared to 13.3%, a difference of 3.3%), single mother poverty (29.9% compared to 31.7%, a difference of 6.0%), and seniors poverty over the age of 75 (11.2% compared to 12.0%, a difference of 6.9%).
Poverty Metric | Hungarian | Bangladeshi |
Poverty | Good 12.2% | Tragic 14.8% |
Families | Good 8.8% | Tragic 10.9% |
Males | Average 11.1% | Tragic 13.6% |
Females | Good 13.2% | Tragic 16.0% |
Females 18 to 24 years | Good 19.8% | Tragic 22.5% |
Females 25 to 34 years | Poor 14.1% | Tragic 15.9% |
Children Under 5 years | Poor 17.9% | Tragic 20.6% |
Children Under 16 years | Average 16.2% | Tragic 19.9% |
Boys Under 16 years | Average 16.5% | Tragic 20.0% |
Girls Under 16 years | Average 16.6% | Tragic 20.0% |
Single Males | Tragic 13.8% | Tragic 13.3% |
Single Females | Fair 21.1% | Tragic 24.2% |
Single Fathers | Tragic 18.5% | Exceptional 15.2% |
Single Mothers | Poor 29.9% | Tragic 31.7% |
Married Couples | Fair 5.3% | Tragic 6.0% |
Seniors Over 65 years | Exceptional 9.7% | Fair 11.2% |
Seniors Over 75 years | Exceptional 11.2% | Good 12.0% |
Receiving Food Stamps | Excellent 11.0% | Tragic 15.0% |
Hungarian vs Bangladeshi Unemployment
When considering unemployment, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.3% compared to 7.4%, a difference of 26.6%), male unemployment (5.2% compared to 5.7%, a difference of 9.9%), and unemployment (5.0% compared to 5.4%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.71%), unemployment among ages 16 to 19 years (17.1% compared to 16.9%, a difference of 0.90%), and unemployment among youth under 25 years (11.4% compared to 11.6%, a difference of 1.6%).
Unemployment Metric | Hungarian | Bangladeshi |
Unemployment | Exceptional 5.0% | Poor 5.4% |
Males | Excellent 5.2% | Tragic 5.7% |
Females | Exceptional 4.9% | Good 5.2% |
Youth < 25 | Excellent 11.4% | Average 11.6% |
Age | 16 to 19 years | Exceptional 17.1% | Exceptional 16.9% |
Age | 20 to 24 years | Good 10.2% | Exceptional 10.0% |
Age | 25 to 29 years | Fair 6.8% | Average 6.6% |
Age | 30 to 34 years | Average 5.5% | Good 5.3% |
Age | 35 to 44 years | Good 4.6% | Fair 4.8% |
Age | 45 to 54 years | Good 4.5% | Average 4.5% |
Age | 55 to 59 years | Average 4.8% | Exceptional 4.7% |
Age | 60 to 64 years | Average 4.9% | Exceptional 4.6% |
Age | 65 to 74 years | Tragic 5.5% | Good 5.3% |
Seniors > 65 | Tragic 5.3% | Fair 5.2% |
Seniors > 75 | Tragic 10.1% | Tragic 9.6% |
Women w/ Children < 6 | Fair 7.8% | Good 7.5% |
Women w/ Children 6 to 17 | Tragic 9.3% | Exceptional 7.4% |
Women w/ Children < 18 | Excellent 5.3% | Good 5.3% |
Hungarian vs Bangladeshi Labor Participation
When considering labor participation, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 42.5%, a difference of 6.6%), in labor force | age > 16 (63.8% compared to 65.9%, a difference of 3.3%), and in labor force | age 20-24 (76.3% compared to 78.1%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.2% compared to 84.1%, a difference of 0.14%), in labor force | age 20-64 (79.2% compared to 79.3%, a difference of 0.19%), and in labor force | age 30-34 (84.5% compared to 84.3%, a difference of 0.21%).
Labor Participation Metric | Hungarian | Bangladeshi |
In Labor Force | Age > 16 | Tragic 63.8% | Exceptional 65.9% |
In Labor Force | Age 20-64 | Tragic 79.2% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 39.8% | Exceptional 42.5% |
In Labor Force | Age 20-24 | Exceptional 76.3% | Exceptional 78.1% |
In Labor Force | Age 25-29 | Average 84.6% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Fair 84.5% | Tragic 84.3% |
In Labor Force | Age 35-44 | Fair 84.2% | Poor 84.1% |
In Labor Force | Age 45-54 | Fair 82.7% | Tragic 81.3% |
Hungarian vs Bangladeshi Family Structure
When considering family structure, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in single mother households (5.7% compared to 8.1%, a difference of 43.5%), single father households (2.2% compared to 3.1%, a difference of 41.4%), and married-couple households (49.1% compared to 43.5%, a difference of 12.7%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.3%, a difference of 1.0%), divorced or separated (12.0% compared to 12.3%, a difference of 2.6%), and average family size (3.18 compared to 3.37, a difference of 6.0%).
Family Structure Metric | Hungarian | Bangladeshi |
Family Households | Exceptional 64.9% | Average 64.3% |
Family Households with Children | Good 27.6% | Exceptional 30.1% |
Married-couple Households | Exceptional 49.1% | Tragic 43.5% |
Average Family Size | Tragic 3.18 | Exceptional 3.37 |
Single Father Households | Exceptional 2.2% | Tragic 3.1% |
Single Mother Households | Exceptional 5.7% | Tragic 8.1% |
Currently Married | Exceptional 48.8% | Tragic 43.7% |
Divorced or Separated | Good 12.0% | Poor 12.3% |
Births to Unmarried Women | Good 31.2% | Tragic 34.4% |
Hungarian vs Bangladeshi Vehicle Availability
When considering vehicle availability, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.0%), no vehicles in household (9.9% compared to 8.7%, a difference of 14.4%), and 3 or more vehicles in household (19.8% compared to 21.9%, a difference of 10.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.4%, a difference of 1.1%), 2 or more vehicles in household (56.5% compared to 58.4%, a difference of 3.4%), and 3 or more vehicles in household (19.8% compared to 21.9%, a difference of 10.3%).
Vehicle Availability Metric | Hungarian | Bangladeshi |
No Vehicles Available | Excellent 9.9% | Exceptional 8.7% |
1+ Vehicles Available | Excellent 90.3% | Exceptional 91.4% |
2+ Vehicles Available | Excellent 56.5% | Exceptional 58.4% |
3+ Vehicles Available | Good 19.8% | Exceptional 21.9% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.6% |
Hungarian vs Bangladeshi Education Level
When considering education level, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in no schooling completed (1.6% compared to 3.5%, a difference of 122.4%), doctorate degree (1.9% compared to 1.2%, a difference of 57.0%), and professional degree (4.6% compared to 3.1%, a difference of 50.1%). Conversely, both communities are more comparable in terms of kindergarten (98.5% compared to 96.6%, a difference of 1.9%), nursery school (98.5% compared to 96.6%, a difference of 2.0%), and 1st grade (98.4% compared to 96.5%, a difference of 2.0%).
Education Level Metric | Hungarian | Bangladeshi |
No Schooling Completed | Exceptional 1.6% | Tragic 3.5% |
Nursery School | Exceptional 98.5% | Tragic 96.6% |
Kindergarten | Exceptional 98.5% | Tragic 96.6% |
1st Grade | Exceptional 98.4% | Tragic 96.5% |
2nd Grade | Exceptional 98.4% | Tragic 96.5% |
3rd Grade | Exceptional 98.3% | Tragic 96.3% |
4th Grade | Exceptional 98.2% | Tragic 96.1% |
5th Grade | Exceptional 98.0% | Tragic 95.9% |
6th Grade | Exceptional 97.8% | Tragic 95.7% |
7th Grade | Exceptional 97.2% | Tragic 94.5% |
8th Grade | Exceptional 97.0% | Tragic 94.3% |
9th Grade | Exceptional 96.2% | Tragic 93.4% |
10th Grade | Exceptional 95.3% | Tragic 92.2% |
11th Grade | Exceptional 94.2% | Tragic 90.9% |
12th Grade, No Diploma | Exceptional 92.8% | Tragic 89.3% |
High School Diploma | Exceptional 90.8% | Tragic 86.9% |
GED/Equivalency | Exceptional 87.4% | Tragic 83.1% |
College, Under 1 year | Average 65.6% | Tragic 61.4% |
College, 1 year or more | Average 59.5% | Tragic 54.5% |
Associate's Degree | Average 46.7% | Tragic 40.0% |
Bachelor's Degree | Good 38.3% | Tragic 30.2% |
Master's Degree | Good 15.6% | Tragic 10.5% |
Professional Degree | Excellent 4.6% | Tragic 3.1% |
Doctorate Degree | Good 1.9% | Tragic 1.2% |
Hungarian vs Bangladeshi Disability
When considering disability, the most significant differences between Hungarian and Bangladeshi communities in the United States are seen in disability age under 5 (1.5% compared to 1.3%, a difference of 20.2%), disability age 65 to 74 (22.4% compared to 26.8%, a difference of 19.6%), and disability age 35 to 64 (11.4% compared to 13.6%, a difference of 19.4%). Conversely, both communities are more comparable in terms of ambulatory disability (6.3% compared to 6.3%, a difference of 0.58%), male disability (12.0% compared to 12.0%, a difference of 0.59%), and disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.73%).
Disability Metric | Hungarian | Bangladeshi |
Disability | Tragic 12.2% | Tragic 12.6% |
Males | Tragic 12.0% | Tragic 12.0% |
Females | Tragic 12.5% | Tragic 13.1% |
Age | Under 5 years | Tragic 1.5% | Poor 1.3% |
Age | 5 to 17 years | Tragic 5.8% | Tragic 5.8% |
Age | 18 to 34 years | Tragic 7.1% | Tragic 7.4% |
Age | 35 to 64 years | Fair 11.4% | Tragic 13.6% |
Age | 65 to 74 years | Exceptional 22.4% | Tragic 26.8% |
Age | Over 75 years | Exceptional 46.5% | Tragic 49.4% |
Vision | Good 2.1% | Tragic 2.3% |
Hearing | Tragic 3.4% | Tragic 3.2% |
Cognitive | Exceptional 16.5% | Tragic 18.6% |
Ambulatory | Tragic 6.3% | Poor 6.3% |
Self-Care | Average 2.5% | Tragic 2.8% |