Burmese vs Hungarian Community Comparison
COMPARE
Burmese
Hungarian
Social Comparison
Social Comparison
Burmese
Hungarians
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
Hungarian Integration in Burmese Communities
The statistical analysis conducted on geographies consisting of 425,148,424 people shows a slight positive correlation between the proportion of Hungarians within Burmese communities in the United States with a correlation coefficient (R) of 0.093. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.002% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 2.4 Hungarians.
Burmese vs Hungarian Income
When considering income, the most significant differences between Burmese and Hungarian communities in the United States are seen in median household income ($103,145 compared to $86,920, a difference of 18.7%), householder income ages 45 - 64 years ($121,444 compared to $103,913, a difference of 16.9%), and median family income ($123,369 compared to $105,609, a difference of 16.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 29.0%, a difference of 3.6%), householder income under 25 years ($54,800 compared to $50,247, a difference of 9.1%), and median female earnings ($44,911 compared to $39,510, a difference of 13.7%).
Income Metric | Burmese | Hungarian |
Per Capita Income | Exceptional $52,005 | Excellent $45,426 |
Median Family Income | Exceptional $123,369 | Excellent $105,609 |
Median Household Income | Exceptional $103,145 | Good $86,920 |
Median Earnings | Exceptional $54,559 | Excellent $47,795 |
Median Male Earnings | Exceptional $65,236 | Exceptional $57,309 |
Median Female Earnings | Exceptional $44,911 | Average $39,510 |
Householder Age | Under 25 years | Exceptional $54,800 | Tragic $50,247 |
Householder Age | 25 - 44 years | Exceptional $113,701 | Excellent $97,544 |
Householder Age | 45 - 64 years | Exceptional $121,444 | Excellent $103,913 |
Householder Age | Over 65 years | Exceptional $71,139 | Good $61,673 |
Wage/Income Gap | Tragic 28.0% | Tragic 29.0% |
Burmese vs Hungarian Poverty
When considering poverty, the most significant differences between Burmese and Hungarian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 17.9%, a difference of 35.3%), receiving food stamps (8.6% compared to 11.0%, a difference of 27.4%), and child poverty among girls under 16 (13.0% compared to 16.6%, a difference of 27.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.1% compared to 9.7%, a difference of 3.9%), seniors poverty over the age of 75 (11.7% compared to 11.2%, a difference of 4.2%), and female poverty among 18-24 year olds (18.9% compared to 19.8%, a difference of 4.8%).
Poverty Metric | Burmese | Hungarian |
Poverty | Exceptional 10.7% | Good 12.2% |
Families | Exceptional 7.3% | Good 8.8% |
Males | Exceptional 9.7% | Average 11.1% |
Females | Exceptional 11.6% | Good 13.2% |
Females 18 to 24 years | Exceptional 18.9% | Good 19.8% |
Females 25 to 34 years | Exceptional 11.2% | Poor 14.1% |
Children Under 5 years | Exceptional 13.2% | Poor 17.9% |
Children Under 16 years | Exceptional 12.8% | Average 16.2% |
Boys Under 16 years | Exceptional 13.0% | Average 16.5% |
Girls Under 16 years | Exceptional 13.0% | Average 16.6% |
Single Males | Exceptional 11.7% | Tragic 13.8% |
Single Females | Exceptional 18.3% | Fair 21.1% |
Single Fathers | Exceptional 15.5% | Tragic 18.5% |
Single Mothers | Exceptional 26.2% | Poor 29.9% |
Married Couples | Exceptional 4.3% | Fair 5.3% |
Seniors Over 65 years | Exceptional 10.1% | Exceptional 9.7% |
Seniors Over 75 years | Excellent 11.7% | Exceptional 11.2% |
Receiving Food Stamps | Exceptional 8.6% | Excellent 11.0% |
Burmese vs Hungarian Unemployment
When considering unemployment, the most significant differences between Burmese and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 10.1%, a difference of 23.4%), unemployment among women with children under 6 years (6.5% compared to 7.8%, a difference of 20.5%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.3%, a difference of 17.0%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.4%, a difference of 0.41%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.44%), and unemployment among ages 16 to 19 years (17.0% compared to 17.1%, a difference of 0.67%).
Unemployment Metric | Burmese | Hungarian |
Unemployment | Exceptional 4.9% | Exceptional 5.0% |
Males | Exceptional 4.9% | Excellent 5.2% |
Females | Exceptional 5.0% | Exceptional 4.9% |
Youth < 25 | Excellent 11.3% | Excellent 11.4% |
Age | 16 to 19 years | Exceptional 17.0% | Exceptional 17.1% |
Age | 20 to 24 years | Excellent 10.2% | Good 10.2% |
Age | 25 to 29 years | Exceptional 6.2% | Fair 6.8% |
Age | 30 to 34 years | Exceptional 5.1% | Average 5.5% |
Age | 35 to 44 years | Exceptional 4.3% | Good 4.6% |
Age | 45 to 54 years | Exceptional 4.2% | Good 4.5% |
Age | 55 to 59 years | Exceptional 4.5% | Average 4.8% |
Age | 60 to 64 years | Excellent 4.8% | Average 4.9% |
Age | 65 to 74 years | Exceptional 5.2% | Tragic 5.5% |
Seniors > 65 | Exceptional 5.0% | Tragic 5.3% |
Seniors > 75 | Exceptional 8.2% | Tragic 10.1% |
Women w/ Children < 6 | Exceptional 6.5% | Fair 7.8% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Tragic 9.3% |
Women w/ Children < 18 | Exceptional 4.9% | Excellent 5.3% |
Burmese vs Hungarian Labor Participation
When considering labor participation, the most significant differences between Burmese and Hungarian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 39.8%, a difference of 15.5%), in labor force | age > 16 (66.2% compared to 63.8%, a difference of 3.7%), and in labor force | age 20-24 (73.6% compared to 76.3%, a difference of 3.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.2%, a difference of 0.55%), in labor force | age 25-29 (85.1% compared to 84.6%, a difference of 0.60%), and in labor force | age 30-34 (85.3% compared to 84.5%, a difference of 0.87%).
Labor Participation Metric | Burmese | Hungarian |
In Labor Force | Age > 16 | Exceptional 66.2% | Tragic 63.8% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Tragic 79.2% |
In Labor Force | Age 16-19 | Tragic 34.5% | Exceptional 39.8% |
In Labor Force | Age 20-24 | Tragic 73.6% | Exceptional 76.3% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Average 84.6% |
In Labor Force | Age 30-34 | Exceptional 85.3% | Fair 84.5% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Fair 84.2% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Fair 82.7% |
Burmese vs Hungarian Family Structure
When considering family structure, the most significant differences between Burmese and Hungarian communities in the United States are seen in births to unmarried women (26.4% compared to 31.2%, a difference of 18.5%), divorced or separated (10.7% compared to 12.0%, a difference of 11.7%), and single mother households (5.3% compared to 5.7%, a difference of 7.3%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.8%, a difference of 0.24%), average family size (3.22 compared to 3.18, a difference of 1.2%), and family households (65.7% compared to 64.9%, a difference of 1.3%).
Family Structure Metric | Burmese | Hungarian |
Family Households | Exceptional 65.7% | Exceptional 64.9% |
Family Households with Children | Exceptional 28.5% | Good 27.6% |
Married-couple Households | Exceptional 49.8% | Exceptional 49.1% |
Average Family Size | Fair 3.22 | Tragic 3.18 |
Single Father Households | Exceptional 2.0% | Exceptional 2.2% |
Single Mother Households | Exceptional 5.3% | Exceptional 5.7% |
Currently Married | Exceptional 48.9% | Exceptional 48.8% |
Divorced or Separated | Exceptional 10.7% | Good 12.0% |
Births to Unmarried Women | Exceptional 26.4% | Good 31.2% |
Burmese vs Hungarian Vehicle Availability
When considering vehicle availability, the most significant differences between Burmese and Hungarian communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 6.4%, a difference of 6.7%), 3 or more vehicles in household (20.6% compared to 19.8%, a difference of 4.2%), and no vehicles in household (9.7% compared to 9.9%, a difference of 2.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.3%, a difference of 0.090%), 2 or more vehicles in household (57.8% compared to 56.5%, a difference of 2.3%), and no vehicles in household (9.7% compared to 9.9%, a difference of 2.5%).
Vehicle Availability Metric | Burmese | Hungarian |
No Vehicles Available | Excellent 9.7% | Excellent 9.9% |
1+ Vehicles Available | Excellent 90.4% | Excellent 90.3% |
2+ Vehicles Available | Exceptional 57.8% | Excellent 56.5% |
3+ Vehicles Available | Exceptional 20.6% | Good 19.8% |
4+ Vehicles Available | Exceptional 6.8% | Good 6.4% |
Burmese vs Hungarian Education Level
When considering education level, the most significant differences between Burmese and Hungarian communities in the United States are seen in doctorate degree (2.6% compared to 1.9%, a difference of 38.6%), professional degree (6.1% compared to 4.6%, a difference of 32.5%), and master's degree (19.7% compared to 15.6%, a difference of 26.6%). Conversely, both communities are more comparable in terms of high school diploma (90.8% compared to 90.8%, a difference of 0.010%), 12th grade, no diploma (92.6% compared to 92.8%, a difference of 0.24%), and nursery school (98.1% compared to 98.5%, a difference of 0.39%).
Education Level Metric | Burmese | Hungarian |
No Schooling Completed | Excellent 1.9% | Exceptional 1.6% |
Nursery School | Excellent 98.1% | Exceptional 98.5% |
Kindergarten | Excellent 98.1% | Exceptional 98.5% |
1st Grade | Excellent 98.0% | Exceptional 98.4% |
2nd Grade | Excellent 98.0% | Exceptional 98.4% |
3rd Grade | Good 97.9% | Exceptional 98.3% |
4th Grade | Excellent 97.7% | Exceptional 98.2% |
5th Grade | Excellent 97.5% | Exceptional 98.0% |
6th Grade | Excellent 97.3% | Exceptional 97.8% |
7th Grade | Excellent 96.3% | Exceptional 97.2% |
8th Grade | Exceptional 96.1% | Exceptional 97.0% |
9th Grade | Exceptional 95.4% | Exceptional 96.2% |
10th Grade | Exceptional 94.5% | Exceptional 95.3% |
11th Grade | Exceptional 93.6% | Exceptional 94.2% |
12th Grade, No Diploma | Exceptional 92.6% | Exceptional 92.8% |
High School Diploma | Exceptional 90.8% | Exceptional 90.8% |
GED/Equivalency | Exceptional 88.3% | Exceptional 87.4% |
College, Under 1 year | Exceptional 71.9% | Average 65.6% |
College, 1 year or more | Exceptional 66.7% | Average 59.5% |
Associate's Degree | Exceptional 54.6% | Average 46.7% |
Bachelor's Degree | Exceptional 46.9% | Good 38.3% |
Master's Degree | Exceptional 19.7% | Good 15.6% |
Professional Degree | Exceptional 6.1% | Excellent 4.6% |
Doctorate Degree | Exceptional 2.6% | Good 1.9% |
Burmese vs Hungarian Disability
When considering disability, the most significant differences between Burmese and Hungarian communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 37.9%), disability age 35 to 64 (9.2% compared to 11.4%, a difference of 23.9%), and disability age 5 to 17 (4.8% compared to 5.8%, a difference of 22.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.5%, a difference of 1.2%), disability age over 75 (45.9% compared to 46.5%, a difference of 1.4%), and disability age 65 to 74 (20.6% compared to 22.4%, a difference of 8.8%).
Disability Metric | Burmese | Hungarian |
Disability | Exceptional 10.4% | Tragic 12.2% |
Males | Exceptional 10.0% | Tragic 12.0% |
Females | Exceptional 10.7% | Tragic 12.5% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.5% |
Age | 5 to 17 years | Exceptional 4.8% | Tragic 5.8% |
Age | 18 to 34 years | Exceptional 6.0% | Tragic 7.1% |
Age | 35 to 64 years | Exceptional 9.2% | Fair 11.4% |
Age | 65 to 74 years | Exceptional 20.6% | Exceptional 22.4% |
Age | Over 75 years | Exceptional 45.9% | Exceptional 46.5% |
Vision | Exceptional 1.8% | Good 2.1% |
Hearing | Exceptional 2.8% | Tragic 3.4% |
Cognitive | Exceptional 16.7% | Exceptional 16.5% |
Ambulatory | Exceptional 5.3% | Tragic 6.3% |
Self-Care | Exceptional 2.3% | Average 2.5% |