Hungarian vs Chinese Community Comparison
COMPARE
Hungarian
Chinese
Social Comparison
Social Comparison
Hungarians
Chinese
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
Chinese Integration in Hungarian Communities
The statistical analysis conducted on geographies consisting of 63,408,587 people shows a strong positive correlation between the proportion of Chinese within Hungarian communities in the United States with a correlation coefficient (R) of 0.754. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.148% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 148.0 Chinese.
Hungarian vs Chinese Income
When considering income, the most significant differences between Hungarian and Chinese communities in the United States are seen in householder income over 65 years ($61,673 compared to $77,465, a difference of 25.6%), householder income under 25 years ($50,247 compared to $58,162, a difference of 15.8%), and median household income ($86,920 compared to $98,496, a difference of 13.3%). Conversely, both communities are more comparable in terms of median male earnings ($57,309 compared to $56,872, a difference of 0.77%), per capita income ($45,426 compared to $46,098, a difference of 1.5%), and median earnings ($47,795 compared to $48,836, a difference of 2.2%).
Income Metric | Hungarian | Chinese |
Per Capita Income | Excellent $45,426 | Exceptional $46,098 |
Median Family Income | Excellent $105,609 | Exceptional $116,188 |
Median Household Income | Good $86,920 | Exceptional $98,496 |
Median Earnings | Excellent $47,795 | Exceptional $48,836 |
Median Male Earnings | Exceptional $57,309 | Exceptional $56,872 |
Median Female Earnings | Average $39,510 | Exceptional $41,461 |
Householder Age | Under 25 years | Tragic $50,247 | Exceptional $58,162 |
Householder Age | 25 - 44 years | Excellent $97,544 | Exceptional $104,264 |
Householder Age | 45 - 64 years | Excellent $103,913 | Exceptional $116,156 |
Householder Age | Over 65 years | Good $61,673 | Exceptional $77,465 |
Wage/Income Gap | Tragic 29.0% | Average 25.9% |
Hungarian vs Chinese Poverty
When considering poverty, the most significant differences between Hungarian and Chinese communities in the United States are seen in married-couple family poverty (5.3% compared to 3.6%, a difference of 45.7%), child poverty among boys under 16 (16.5% compared to 11.9%, a difference of 38.9%), and child poverty under the age of 5 (17.9% compared to 13.1%, a difference of 37.1%). Conversely, both communities are more comparable in terms of receiving food stamps (11.0% compared to 9.8%, a difference of 12.8%), seniors poverty over the age of 65 (9.7% compared to 8.3%, a difference of 16.3%), and single father poverty (18.5% compared to 15.4%, a difference of 19.8%).
Poverty Metric | Hungarian | Chinese |
Poverty | Good 12.2% | Exceptional 9.5% |
Families | Good 8.8% | Exceptional 6.5% |
Males | Average 11.1% | Exceptional 8.7% |
Females | Good 13.2% | Exceptional 10.4% |
Females 18 to 24 years | Good 19.8% | Exceptional 16.2% |
Females 25 to 34 years | Poor 14.1% | Exceptional 11.0% |
Children Under 5 years | Poor 17.9% | Exceptional 13.1% |
Children Under 16 years | Average 16.2% | Exceptional 11.9% |
Boys Under 16 years | Average 16.5% | Exceptional 11.9% |
Girls Under 16 years | Average 16.6% | Exceptional 12.3% |
Single Males | Tragic 13.8% | Exceptional 11.0% |
Single Females | Fair 21.1% | Exceptional 16.1% |
Single Fathers | Tragic 18.5% | Exceptional 15.4% |
Single Mothers | Poor 29.9% | Exceptional 24.6% |
Married Couples | Fair 5.3% | Exceptional 3.6% |
Seniors Over 65 years | Exceptional 9.7% | Exceptional 8.3% |
Seniors Over 75 years | Exceptional 11.2% | Exceptional 9.1% |
Receiving Food Stamps | Excellent 11.0% | Exceptional 9.8% |
Hungarian vs Chinese Unemployment
When considering unemployment, the most significant differences between Hungarian and Chinese communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 5.9%, a difference of 70.7%), unemployment among seniors over 65 years (5.3% compared to 4.2%, a difference of 25.8%), and unemployment among ages 65 to 74 years (5.5% compared to 4.4%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.3% compared to 9.3%, a difference of 0.63%), male unemployment (5.2% compared to 4.9%, a difference of 5.0%), and unemployment among youth under 25 years (11.4% compared to 10.7%, a difference of 6.4%).
Unemployment Metric | Hungarian | Chinese |
Unemployment | Exceptional 5.0% | Exceptional 4.7% |
Males | Excellent 5.2% | Exceptional 4.9% |
Females | Exceptional 4.9% | Exceptional 4.5% |
Youth < 25 | Excellent 11.4% | Exceptional 10.7% |
Age | 16 to 19 years | Exceptional 17.1% | Exceptional 16.0% |
Age | 20 to 24 years | Good 10.2% | Exceptional 9.4% |
Age | 25 to 29 years | Fair 6.8% | Exceptional 6.1% |
Age | 30 to 34 years | Average 5.5% | Exceptional 5.1% |
Age | 35 to 44 years | Good 4.6% | Exceptional 4.3% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.0% |
Age | 55 to 59 years | Average 4.8% | Exceptional 4.4% |
Age | 60 to 64 years | Average 4.9% | Exceptional 4.0% |
Age | 65 to 74 years | Tragic 5.5% | Exceptional 4.4% |
Seniors > 65 | Tragic 5.3% | Exceptional 4.2% |
Seniors > 75 | Tragic 10.1% | Exceptional 5.9% |
Women w/ Children < 6 | Fair 7.8% | Exceptional 6.8% |
Women w/ Children 6 to 17 | Tragic 9.3% | Tragic 9.3% |
Women w/ Children < 18 | Excellent 5.3% | Exceptional 4.9% |
Hungarian vs Chinese Labor Participation
When considering labor participation, the most significant differences between Hungarian and Chinese communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 38.6%, a difference of 3.2%), in labor force | age 20-64 (79.2% compared to 80.7%, a difference of 1.9%), and in labor force | age 45-54 (82.7% compared to 84.1%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.3%, a difference of 0.34%), in labor force | age 30-34 (84.5% compared to 85.0%, a difference of 0.57%), and in labor force | age 35-44 (84.2% compared to 85.1%, a difference of 1.0%).
Labor Participation Metric | Hungarian | Chinese |
In Labor Force | Age > 16 | Tragic 63.8% | Tragic 64.7% |
In Labor Force | Age 20-64 | Tragic 79.2% | Exceptional 80.7% |
In Labor Force | Age 16-19 | Exceptional 39.8% | Exceptional 38.6% |
In Labor Force | Age 20-24 | Exceptional 76.3% | Exceptional 77.3% |
In Labor Force | Age 25-29 | Average 84.6% | Poor 84.3% |
In Labor Force | Age 30-34 | Fair 84.5% | Excellent 85.0% |
In Labor Force | Age 35-44 | Fair 84.2% | Exceptional 85.1% |
In Labor Force | Age 45-54 | Fair 82.7% | Exceptional 84.1% |
Hungarian vs Chinese Family Structure
When considering family structure, the most significant differences between Hungarian and Chinese communities in the United States are seen in single father households (2.2% compared to 2.0%, a difference of 10.1%), single mother households (5.7% compared to 5.2%, a difference of 9.9%), and divorced or separated (12.0% compared to 11.2%, a difference of 7.0%). Conversely, both communities are more comparable in terms of currently married (48.8% compared to 49.5%, a difference of 1.4%), married-couple households (49.1% compared to 50.4%, a difference of 2.6%), and births to unmarried women (31.2% compared to 30.2%, a difference of 3.3%).
Family Structure Metric | Hungarian | Chinese |
Family Households | Exceptional 64.9% | Exceptional 68.1% |
Family Households with Children | Good 27.6% | Tragic 26.0% |
Married-couple Households | Exceptional 49.1% | Exceptional 50.4% |
Average Family Size | Tragic 3.18 | Exceptional 3.34 |
Single Father Households | Exceptional 2.2% | Exceptional 2.0% |
Single Mother Households | Exceptional 5.7% | Exceptional 5.2% |
Currently Married | Exceptional 48.8% | Exceptional 49.5% |
Divorced or Separated | Good 12.0% | Exceptional 11.2% |
Births to Unmarried Women | Good 31.2% | Excellent 30.2% |
Hungarian vs Chinese Vehicle Availability
When considering vehicle availability, the most significant differences between Hungarian and Chinese communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 8.8%, a difference of 38.3%), no vehicles in household (9.9% compared to 8.2%, a difference of 20.6%), and 3 or more vehicles in household (19.8% compared to 23.9%, a difference of 20.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.9%, a difference of 1.7%), 2 or more vehicles in household (56.5% compared to 60.1%, a difference of 6.4%), and 3 or more vehicles in household (19.8% compared to 23.9%, a difference of 20.4%).
Vehicle Availability Metric | Hungarian | Chinese |
No Vehicles Available | Excellent 9.9% | Exceptional 8.2% |
1+ Vehicles Available | Excellent 90.3% | Exceptional 91.9% |
2+ Vehicles Available | Excellent 56.5% | Exceptional 60.1% |
3+ Vehicles Available | Good 19.8% | Exceptional 23.9% |
4+ Vehicles Available | Good 6.4% | Exceptional 8.8% |
Hungarian vs Chinese Education Level
When considering education level, the most significant differences between Hungarian and Chinese communities in the United States are seen in no schooling completed (1.6% compared to 1.5%, a difference of 8.1%), doctorate degree (1.9% compared to 1.8%, a difference of 7.7%), and master's degree (15.6% compared to 14.6%, a difference of 6.8%). Conversely, both communities are more comparable in terms of 8th grade (97.0% compared to 96.9%, a difference of 0.060%), 9th grade (96.2% compared to 96.3%, a difference of 0.070%), and 5th grade (98.0% compared to 98.1%, a difference of 0.080%).
Education Level Metric | Hungarian | Chinese |
No Schooling Completed | Exceptional 1.6% | Exceptional 1.5% |
Nursery School | Exceptional 98.5% | Exceptional 98.6% |
Kindergarten | Exceptional 98.5% | Exceptional 98.5% |
1st Grade | Exceptional 98.4% | Exceptional 98.5% |
2nd Grade | Exceptional 98.4% | Exceptional 98.5% |
3rd Grade | Exceptional 98.3% | Exceptional 98.4% |
4th Grade | Exceptional 98.2% | Exceptional 98.3% |
5th Grade | Exceptional 98.0% | Exceptional 98.1% |
6th Grade | Exceptional 97.8% | Exceptional 97.9% |
7th Grade | Exceptional 97.2% | Exceptional 97.1% |
8th Grade | Exceptional 97.0% | Exceptional 96.9% |
9th Grade | Exceptional 96.2% | Exceptional 96.3% |
10th Grade | Exceptional 95.3% | Exceptional 95.5% |
11th Grade | Exceptional 94.2% | Exceptional 94.6% |
12th Grade, No Diploma | Exceptional 92.8% | Exceptional 93.6% |
High School Diploma | Exceptional 90.8% | Exceptional 92.0% |
GED/Equivalency | Exceptional 87.4% | Exceptional 89.0% |
College, Under 1 year | Average 65.6% | Exceptional 68.3% |
College, 1 year or more | Average 59.5% | Exceptional 62.2% |
Associate's Degree | Average 46.7% | Exceptional 48.5% |
Bachelor's Degree | Good 38.3% | Good 38.5% |
Master's Degree | Good 15.6% | Fair 14.6% |
Professional Degree | Excellent 4.6% | Average 4.5% |
Doctorate Degree | Good 1.9% | Fair 1.8% |
Hungarian vs Chinese Disability
When considering disability, the most significant differences between Hungarian and Chinese communities in the United States are seen in disability age under 5 (1.5% compared to 1.1%, a difference of 35.7%), disability age 5 to 17 (5.8% compared to 4.7%, a difference of 24.6%), and disability age 18 to 34 (7.1% compared to 6.3%, a difference of 13.0%). Conversely, both communities are more comparable in terms of disability (12.2% compared to 12.2%, a difference of 0.18%), male disability (12.0% compared to 12.1%, a difference of 0.87%), and female disability (12.5% compared to 12.3%, a difference of 1.2%).
Disability Metric | Hungarian | Chinese |
Disability | Tragic 12.2% | Tragic 12.2% |
Males | Tragic 12.0% | Tragic 12.1% |
Females | Tragic 12.5% | Fair 12.3% |
Age | Under 5 years | Tragic 1.5% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 4.7% |
Age | 18 to 34 years | Tragic 7.1% | Exceptional 6.3% |
Age | 35 to 64 years | Fair 11.4% | Exceptional 10.3% |
Age | 65 to 74 years | Exceptional 22.4% | Exceptional 21.7% |
Age | Over 75 years | Exceptional 46.5% | Tragic 48.7% |
Vision | Good 2.1% | Exceptional 2.0% |
Hearing | Tragic 3.4% | Tragic 3.7% |
Cognitive | Exceptional 16.5% | Exceptional 15.9% |
Ambulatory | Tragic 6.3% | Tragic 6.5% |
Self-Care | Average 2.5% | Tragic 2.6% |