Bangladeshi vs Hungarian Community Comparison
COMPARE
Bangladeshi
Hungarian
Social Comparison
Social Comparison
Bangladeshis
Hungarians
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
Hungarian Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 136,656,855 people shows no correlation between the proportion of Hungarians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.028. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.001% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 0.6 Hungarians.
Bangladeshi vs Hungarian Income
When considering income, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in wage/income gap (22.2% compared to 29.0%, a difference of 30.9%), per capita income ($35,897 compared to $45,426, a difference of 26.6%), and median male earnings ($46,744 compared to $57,309, a difference of 22.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $50,247, a difference of 5.6%), median female earnings ($35,960 compared to $39,510, a difference of 9.9%), and householder income over 65 years ($54,719 compared to $61,673, a difference of 12.7%).
Income Metric | Bangladeshi | Hungarian |
Per Capita Income | Tragic $35,897 | Excellent $45,426 |
Median Family Income | Tragic $88,358 | Excellent $105,609 |
Median Household Income | Tragic $74,112 | Good $86,920 |
Median Earnings | Tragic $41,263 | Excellent $47,795 |
Median Male Earnings | Tragic $46,744 | Exceptional $57,309 |
Median Female Earnings | Tragic $35,960 | Average $39,510 |
Householder Age | Under 25 years | Tragic $47,589 | Tragic $50,247 |
Householder Age | 25 - 44 years | Tragic $81,363 | Excellent $97,544 |
Householder Age | 45 - 64 years | Tragic $86,402 | Excellent $103,913 |
Householder Age | Over 65 years | Tragic $54,719 | Good $61,673 |
Wage/Income Gap | Exceptional 22.2% | Tragic 29.0% |
Bangladeshi vs Hungarian Poverty
When considering poverty, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in receiving food stamps (15.0% compared to 11.0%, a difference of 36.5%), family poverty (10.9% compared to 8.8%, a difference of 23.9%), and child poverty under the age of 16 (19.9% compared to 16.2%, a difference of 23.2%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.8%, a difference of 3.3%), single mother poverty (31.7% compared to 29.9%, a difference of 6.0%), and seniors poverty over the age of 75 (12.0% compared to 11.2%, a difference of 6.9%).
Poverty Metric | Bangladeshi | Hungarian |
Poverty | Tragic 14.8% | Good 12.2% |
Families | Tragic 10.9% | Good 8.8% |
Males | Tragic 13.6% | Average 11.1% |
Females | Tragic 16.0% | Good 13.2% |
Females 18 to 24 years | Tragic 22.5% | Good 19.8% |
Females 25 to 34 years | Tragic 15.9% | Poor 14.1% |
Children Under 5 years | Tragic 20.6% | Poor 17.9% |
Children Under 16 years | Tragic 19.9% | Average 16.2% |
Boys Under 16 years | Tragic 20.0% | Average 16.5% |
Girls Under 16 years | Tragic 20.0% | Average 16.6% |
Single Males | Tragic 13.3% | Tragic 13.8% |
Single Females | Tragic 24.2% | Fair 21.1% |
Single Fathers | Exceptional 15.2% | Tragic 18.5% |
Single Mothers | Tragic 31.7% | Poor 29.9% |
Married Couples | Tragic 6.0% | Fair 5.3% |
Seniors Over 65 years | Fair 11.2% | Exceptional 9.7% |
Seniors Over 75 years | Good 12.0% | Exceptional 11.2% |
Receiving Food Stamps | Tragic 15.0% | Excellent 11.0% |
Bangladeshi vs Hungarian Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.3%, a difference of 26.6%), male unemployment (5.7% compared to 5.2%, a difference of 9.9%), and unemployment (5.4% compared to 5.0%, 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 (16.9% compared to 17.1%, a difference of 0.90%), and unemployment among youth under 25 years (11.6% compared to 11.4%, a difference of 1.6%).
Unemployment Metric | Bangladeshi | Hungarian |
Unemployment | Poor 5.4% | Exceptional 5.0% |
Males | Tragic 5.7% | Excellent 5.2% |
Females | Good 5.2% | Exceptional 4.9% |
Youth < 25 | Average 11.6% | Excellent 11.4% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 17.1% |
Age | 20 to 24 years | Exceptional 10.0% | Good 10.2% |
Age | 25 to 29 years | Average 6.6% | Fair 6.8% |
Age | 30 to 34 years | Good 5.3% | Average 5.5% |
Age | 35 to 44 years | Fair 4.8% | Good 4.6% |
Age | 45 to 54 years | Average 4.5% | Good 4.5% |
Age | 55 to 59 years | Exceptional 4.7% | Average 4.8% |
Age | 60 to 64 years | Exceptional 4.6% | Average 4.9% |
Age | 65 to 74 years | Good 5.3% | Tragic 5.5% |
Seniors > 65 | Fair 5.2% | Tragic 5.3% |
Seniors > 75 | Tragic 9.6% | Tragic 10.1% |
Women w/ Children < 6 | Good 7.5% | Fair 7.8% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Tragic 9.3% |
Women w/ Children < 18 | Good 5.3% | Excellent 5.3% |
Bangladeshi vs Hungarian Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 39.8%, a difference of 6.6%), in labor force | age > 16 (65.9% compared to 63.8%, a difference of 3.3%), and in labor force | age 20-24 (78.1% compared to 76.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.1% compared to 84.2%, a difference of 0.14%), in labor force | age 20-64 (79.3% compared to 79.2%, a difference of 0.19%), and in labor force | age 30-34 (84.3% compared to 84.5%, a difference of 0.21%).
Labor Participation Metric | Bangladeshi | Hungarian |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 63.8% |
In Labor Force | Age 20-64 | Poor 79.3% | Tragic 79.2% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 39.8% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 76.3% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Average 84.6% |
In Labor Force | Age 30-34 | Tragic 84.3% | Fair 84.5% |
In Labor Force | Age 35-44 | Poor 84.1% | Fair 84.2% |
In Labor Force | Age 45-54 | Tragic 81.3% | Fair 82.7% |
Bangladeshi vs Hungarian Family Structure
When considering family structure, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in single mother households (8.1% compared to 5.7%, a difference of 43.5%), single father households (3.1% compared to 2.2%, a difference of 41.4%), and married-couple households (43.5% compared to 49.1%, a difference of 12.7%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.9%, a difference of 1.0%), divorced or separated (12.3% compared to 12.0%, a difference of 2.6%), and average family size (3.37 compared to 3.18, a difference of 6.0%).
Family Structure Metric | Bangladeshi | Hungarian |
Family Households | Average 64.3% | Exceptional 64.9% |
Family Households with Children | Exceptional 30.1% | Good 27.6% |
Married-couple Households | Tragic 43.5% | Exceptional 49.1% |
Average Family Size | Exceptional 3.37 | Tragic 3.18 |
Single Father Households | Tragic 3.1% | Exceptional 2.2% |
Single Mother Households | Tragic 8.1% | Exceptional 5.7% |
Currently Married | Tragic 43.7% | Exceptional 48.8% |
Divorced or Separated | Poor 12.3% | Good 12.0% |
Births to Unmarried Women | Tragic 34.4% | Good 31.2% |
Bangladeshi vs Hungarian Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 18.0%), no vehicles in household (8.7% compared to 9.9%, a difference of 14.4%), and 3 or more vehicles in household (21.9% compared to 19.8%, a difference of 10.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.3%, a difference of 1.1%), 2 or more vehicles in household (58.4% compared to 56.5%, a difference of 3.4%), and 3 or more vehicles in household (21.9% compared to 19.8%, a difference of 10.3%).
Vehicle Availability Metric | Bangladeshi | Hungarian |
No Vehicles Available | Exceptional 8.7% | Excellent 9.9% |
1+ Vehicles Available | Exceptional 91.4% | Excellent 90.3% |
2+ Vehicles Available | Exceptional 58.4% | Excellent 56.5% |
3+ Vehicles Available | Exceptional 21.9% | Good 19.8% |
4+ Vehicles Available | Exceptional 7.6% | Good 6.4% |
Bangladeshi vs Hungarian Education Level
When considering education level, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in no schooling completed (3.5% compared to 1.6%, a difference of 122.4%), doctorate degree (1.2% compared to 1.9%, a difference of 57.0%), and professional degree (3.1% compared to 4.6%, a difference of 50.1%). Conversely, both communities are more comparable in terms of kindergarten (96.6% compared to 98.5%, a difference of 1.9%), nursery school (96.6% compared to 98.5%, a difference of 2.0%), and 1st grade (96.5% compared to 98.4%, a difference of 2.0%).
Education Level Metric | Bangladeshi | Hungarian |
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 98.4% |
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 97.2% |
8th Grade | Tragic 94.3% | Exceptional 97.0% |
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 92.8% |
High School Diploma | Tragic 86.9% | Exceptional 90.8% |
GED/Equivalency | Tragic 83.1% | Exceptional 87.4% |
College, Under 1 year | Tragic 61.4% | Average 65.6% |
College, 1 year or more | Tragic 54.5% | Average 59.5% |
Associate's Degree | Tragic 40.0% | Average 46.7% |
Bachelor's Degree | Tragic 30.2% | Good 38.3% |
Master's Degree | Tragic 10.5% | Good 15.6% |
Professional Degree | Tragic 3.1% | Excellent 4.6% |
Doctorate Degree | Tragic 1.2% | Good 1.9% |
Bangladeshi vs Hungarian Disability
When considering disability, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in disability age under 5 (1.3% compared to 1.5%, a difference of 20.2%), disability age 65 to 74 (26.8% compared to 22.4%, a difference of 19.6%), and disability age 35 to 64 (13.6% compared to 11.4%, 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 | Bangladeshi | Hungarian |
Disability | Tragic 12.6% | Tragic 12.2% |
Males | Tragic 12.0% | Tragic 12.0% |
Females | Tragic 13.1% | Tragic 12.5% |
Age | Under 5 years | Poor 1.3% | Tragic 1.5% |
Age | 5 to 17 years | Tragic 5.8% | Tragic 5.8% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.1% |
Age | 35 to 64 years | Tragic 13.6% | Fair 11.4% |
Age | 65 to 74 years | Tragic 26.8% | Exceptional 22.4% |
Age | Over 75 years | Tragic 49.4% | Exceptional 46.5% |
Vision | Tragic 2.3% | Good 2.1% |
Hearing | Tragic 3.2% | Tragic 3.4% |
Cognitive | Tragic 18.6% | Exceptional 16.5% |
Ambulatory | Poor 6.3% | Tragic 6.3% |
Self-Care | Tragic 2.8% | Average 2.5% |