Chinese vs Czech Community Comparison
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Chinese
Czech
Social Comparison
Social Comparison
Chinese
Czechs
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
Czech Integration in Chinese Communities
The statistical analysis conducted on geographies consisting of 63,553,693 people shows a significant positive correlation between the proportion of Czechs within Chinese communities in the United States with a correlation coefficient (R) of 0.695. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.198% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 198.0 Czechs.
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Chinese vs Czech Income
When considering income, the most significant differences between Chinese and Czech communities in the United States are seen in householder income over 65 years ($77,465 compared to $61,244, a difference of 26.5%), median household income ($98,496 compared to $86,164, a difference of 14.3%), and householder income under 25 years ($58,162 compared to $51,421, a difference of 13.1%). Conversely, both communities are more comparable in terms of median male earnings ($56,872 compared to $56,546, a difference of 0.58%), per capita income ($46,098 compared to $44,595, a difference of 3.4%), and median earnings ($48,836 compared to $47,221, a difference of 3.4%).
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Income Metric | Chinese | Czech |
Per Capita Income | Exceptional $46,098 | Good $44,595 |
Median Family Income | Exceptional $116,188 | Excellent $105,839 |
Median Household Income | Exceptional $98,496 | Good $86,164 |
Median Earnings | Exceptional $48,836 | Good $47,221 |
Median Male Earnings | Exceptional $56,872 | Excellent $56,546 |
Median Female Earnings | Exceptional $41,461 | Poor $38,992 |
Householder Age | Under 25 years | Exceptional $58,162 | Poor $51,421 |
Householder Age | 25 - 44 years | Exceptional $104,264 | Good $96,525 |
Householder Age | 45 - 64 years | Exceptional $116,156 | Excellent $103,507 |
Householder Age | Over 65 years | Exceptional $77,465 | Average $61,244 |
Wage/Income Gap | Average 25.9% | Tragic 29.2% |
Chinese vs Czech Poverty
When considering poverty, the most significant differences between Chinese and Czech communities in the United States are seen in single female poverty (16.1% compared to 21.0%, a difference of 30.4%), female poverty among 18-24 year olds (16.2% compared to 20.4%, a difference of 26.3%), and single male poverty (11.0% compared to 13.5%, a difference of 23.3%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 9.2%, a difference of 6.0%), seniors poverty over the age of 65 (8.3% compared to 9.0%, a difference of 7.9%), and single father poverty (15.4% compared to 17.0%, a difference of 10.2%).
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Poverty Metric | Chinese | Czech |
Poverty | Exceptional 9.5% | Exceptional 10.8% |
Families | Exceptional 6.5% | Exceptional 7.4% |
Males | Exceptional 8.7% | Exceptional 9.8% |
Females | Exceptional 10.4% | Exceptional 11.9% |
Females 18 to 24 years | Exceptional 16.2% | Fair 20.4% |
Females 25 to 34 years | Exceptional 11.0% | Exceptional 12.9% |
Children Under 5 years | Exceptional 13.1% | Exceptional 15.5% |
Children Under 16 years | Exceptional 11.9% | Exceptional 13.8% |
Boys Under 16 years | Exceptional 11.9% | Exceptional 14.1% |
Girls Under 16 years | Exceptional 12.3% | Exceptional 14.2% |
Single Males | Exceptional 11.0% | Tragic 13.5% |
Single Females | Exceptional 16.1% | Average 21.0% |
Single Fathers | Exceptional 15.4% | Tragic 17.0% |
Single Mothers | Exceptional 24.6% | Good 28.9% |
Married Couples | Exceptional 3.6% | Exceptional 4.0% |
Seniors Over 65 years | Exceptional 8.3% | Exceptional 9.0% |
Seniors Over 75 years | Exceptional 9.1% | Exceptional 10.5% |
Receiving Food Stamps | Exceptional 9.8% | Exceptional 9.2% |
Chinese vs Czech Unemployment
When considering unemployment, the most significant differences between Chinese and Czech communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 9.7%, a difference of 64.2%), unemployment among seniors over 65 years (4.2% compared to 4.7%, a difference of 12.0%), and unemployment among women with children under 6 years (6.8% compared to 7.6%, a difference of 11.7%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.0% compared to 4.0%, a difference of 0.16%), unemployment among ages 20 to 24 years (9.4% compared to 9.3%, a difference of 0.44%), and unemployment among ages 55 to 59 years (4.4% compared to 4.4%, a difference of 0.84%).
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Unemployment Metric | Chinese | Czech |
Unemployment | Exceptional 4.7% | Exceptional 4.3% |
Males | Exceptional 4.9% | Exceptional 4.5% |
Females | Exceptional 4.5% | Exceptional 4.4% |
Youth < 25 | Exceptional 10.7% | Exceptional 10.3% |
Age | 16 to 19 years | Exceptional 16.0% | Exceptional 15.4% |
Age | 20 to 24 years | Exceptional 9.4% | Exceptional 9.3% |
Age | 25 to 29 years | Exceptional 6.1% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.0% |
Age | 35 to 44 years | Exceptional 4.3% | Exceptional 4.1% |
Age | 45 to 54 years | Exceptional 4.0% | Exceptional 4.0% |
Age | 55 to 59 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 60 to 64 years | Exceptional 4.0% | Exceptional 4.4% |
Age | 65 to 74 years | Exceptional 4.4% | Exceptional 5.0% |
Seniors > 65 | Exceptional 4.2% | Exceptional 4.7% |
Seniors > 75 | Exceptional 5.9% | Tragic 9.7% |
Women w/ Children < 6 | Exceptional 6.8% | Average 7.6% |
Women w/ Children 6 to 17 | Tragic 9.3% | Exceptional 8.7% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 4.7% |
Chinese vs Czech Labor Participation
When considering labor participation, the most significant differences between Chinese and Czech communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 43.6%, a difference of 13.1%), in labor force | age 20-24 (77.3% compared to 78.5%, a difference of 1.6%), and in labor force | age 25-29 (84.3% compared to 85.6%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.7% compared to 80.5%, a difference of 0.19%), in labor force | age 45-54 (84.1% compared to 83.9%, a difference of 0.25%), and in labor force | age 35-44 (85.1% compared to 85.3%, a difference of 0.27%).
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Labor Participation Metric | Chinese | Czech |
In Labor Force | Age > 16 | Tragic 64.7% | Excellent 65.4% |
In Labor Force | Age 20-64 | Exceptional 80.7% | Exceptional 80.5% |
In Labor Force | Age 16-19 | Exceptional 38.6% | Exceptional 43.6% |
In Labor Force | Age 20-24 | Exceptional 77.3% | Exceptional 78.5% |
In Labor Force | Age 25-29 | Poor 84.3% | Exceptional 85.6% |
In Labor Force | Age 30-34 | Excellent 85.0% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 85.1% | Exceptional 85.3% |
In Labor Force | Age 45-54 | Exceptional 84.1% | Exceptional 83.9% |
Chinese vs Czech Family Structure
When considering family structure, the most significant differences between Chinese and Czech communities in the United States are seen in single father households (2.0% compared to 2.3%, a difference of 17.4%), single mother households (5.2% compared to 5.6%, a difference of 9.4%), and average family size (3.34 compared to 3.11, a difference of 7.4%). Conversely, both communities are more comparable in terms of currently married (49.5% compared to 49.9%, a difference of 0.72%), births to unmarried women (30.2% compared to 30.5%, a difference of 0.95%), and married-couple households (50.4% compared to 49.4%, a difference of 1.9%).
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Family Structure Metric | Chinese | Czech |
Family Households | Exceptional 68.1% | Good 64.5% |
Family Households with Children | Tragic 26.0% | Good 27.5% |
Married-couple Households | Exceptional 50.4% | Exceptional 49.4% |
Average Family Size | Exceptional 3.34 | Tragic 3.11 |
Single Father Households | Exceptional 2.0% | Good 2.3% |
Single Mother Households | Exceptional 5.2% | Exceptional 5.6% |
Currently Married | Exceptional 49.5% | Exceptional 49.9% |
Divorced or Separated | Exceptional 11.2% | Good 11.9% |
Births to Unmarried Women | Excellent 30.2% | Excellent 30.5% |
Chinese vs Czech Vehicle Availability
When considering vehicle availability, the most significant differences between Chinese and Czech communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 7.4%, a difference of 20.4%), no vehicles in household (8.2% compared to 6.9%, a difference of 19.5%), and 3 or more vehicles in household (23.9% compared to 22.5%, a difference of 6.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 93.3%, a difference of 1.5%), 2 or more vehicles in household (60.1% compared to 61.5%, a difference of 2.3%), and 3 or more vehicles in household (23.9% compared to 22.5%, a difference of 6.0%).
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Vehicle Availability Metric | Chinese | Czech |
No Vehicles Available | Exceptional 8.2% | Exceptional 6.9% |
1+ Vehicles Available | Exceptional 91.9% | Exceptional 93.3% |
2+ Vehicles Available | Exceptional 60.1% | Exceptional 61.5% |
3+ Vehicles Available | Exceptional 23.9% | Exceptional 22.5% |
4+ Vehicles Available | Exceptional 8.8% | Exceptional 7.4% |
Chinese vs Czech Education Level
When considering education level, the most significant differences between Chinese and Czech communities in the United States are seen in doctorate degree (1.8% compared to 1.9%, a difference of 6.9%), associate's degree (48.5% compared to 47.2%, a difference of 2.9%), and college, 1 year or more (62.2% compared to 60.6%, a difference of 2.6%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.030%), kindergarten (98.5% compared to 98.6%, a difference of 0.030%), and 1st grade (98.5% compared to 98.5%, a difference of 0.030%).
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Education Level Metric | Chinese | Czech |
No Schooling Completed | Exceptional 1.5% | Exceptional 1.5% |
Nursery School | Exceptional 98.6% | Exceptional 98.6% |
Kindergarten | Exceptional 98.5% | Exceptional 98.6% |
1st Grade | Exceptional 98.5% | Exceptional 98.5% |
2nd Grade | Exceptional 98.5% | Exceptional 98.5% |
3rd Grade | Exceptional 98.4% | Exceptional 98.4% |
4th Grade | Exceptional 98.3% | Exceptional 98.3% |
5th Grade | Exceptional 98.1% | Exceptional 98.2% |
6th Grade | Exceptional 97.9% | Exceptional 98.0% |
7th Grade | Exceptional 97.1% | Exceptional 97.4% |
8th Grade | Exceptional 96.9% | Exceptional 97.1% |
9th Grade | Exceptional 96.3% | Exceptional 96.4% |
10th Grade | Exceptional 95.5% | Exceptional 95.5% |
11th Grade | Exceptional 94.6% | Exceptional 94.4% |
12th Grade, No Diploma | Exceptional 93.6% | Exceptional 93.2% |
High School Diploma | Exceptional 92.0% | Exceptional 91.6% |
GED/Equivalency | Exceptional 89.0% | Exceptional 88.1% |
College, Under 1 year | Exceptional 68.3% | Exceptional 67.1% |
College, 1 year or more | Exceptional 62.2% | Excellent 60.6% |
Associate's Degree | Exceptional 48.5% | Good 47.2% |
Bachelor's Degree | Good 38.5% | Average 38.0% |
Master's Degree | Fair 14.6% | Average 14.7% |
Professional Degree | Average 4.5% | Average 4.4% |
Doctorate Degree | Fair 1.8% | Good 1.9% |
Chinese vs Czech Disability
When considering disability, the most significant differences between Chinese and Czech communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 35.9%), disability age 5 to 17 (4.7% compared to 5.8%, a difference of 23.0%), and disability age 18 to 34 (6.3% compared to 7.2%, a difference of 14.7%). Conversely, both communities are more comparable in terms of male disability (12.1% compared to 11.9%, a difference of 1.3%), disability (12.2% compared to 12.0%, a difference of 1.5%), and female disability (12.3% compared to 12.1%, a difference of 1.7%).
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Disability Metric | Chinese | Czech |
Disability | Tragic 12.2% | Tragic 12.0% |
Males | Tragic 12.1% | Tragic 11.9% |
Females | Fair 12.3% | Good 12.1% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.5% |
Age | 5 to 17 years | Exceptional 4.7% | Tragic 5.8% |
Age | 18 to 34 years | Exceptional 6.3% | Tragic 7.2% |
Age | 35 to 64 years | Exceptional 10.3% | Average 11.3% |
Age | 65 to 74 years | Exceptional 21.7% | Exceptional 22.4% |
Age | Over 75 years | Tragic 48.7% | Exceptional 45.7% |
Vision | Exceptional 2.0% | Excellent 2.1% |
Hearing | Tragic 3.7% | Tragic 3.5% |
Cognitive | Exceptional 15.9% | Exceptional 16.4% |
Ambulatory | Tragic 6.5% | Excellent 6.0% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |