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.
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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% |