Indian (Asian) vs Czech Community Comparison
COMPARE
Indian (Asian)
Czech
Social Comparison
Social Comparison
Indians (Asian)
Czechs
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
Czech Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 441,362,750 people shows a significant negative correlation between the proportion of Czechs within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.669. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.006% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 6.4 Czechs.
Indian (Asian) vs Czech Income
When considering income, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $96,525, a difference of 23.8%), median household income ($105,262 compared to $86,164, a difference of 22.2%), and per capita income ($53,874 compared to $44,595, a difference of 20.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 29.2%, a difference of 10.3%), householder income under 25 years ($58,239 compared to $51,421, a difference of 13.3%), and householder income over 65 years ($70,238 compared to $61,244, a difference of 14.7%).
Income Metric | Indian (Asian) | Czech |
Per Capita Income | Exceptional $53,874 | Good $44,595 |
Median Family Income | Exceptional $125,312 | Excellent $105,839 |
Median Household Income | Exceptional $105,262 | Good $86,164 |
Median Earnings | Exceptional $56,253 | Good $47,221 |
Median Male Earnings | Exceptional $66,078 | Excellent $56,546 |
Median Female Earnings | Exceptional $46,481 | Poor $38,992 |
Householder Age | Under 25 years | Exceptional $58,239 | Poor $51,421 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Good $96,525 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Excellent $103,507 |
Householder Age | Over 65 years | Exceptional $70,238 | Average $61,244 |
Wage/Income Gap | Poor 26.4% | Tragic 29.2% |
Indian (Asian) vs Czech Poverty
When considering poverty, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in seniors poverty over the age of 65 (11.1% compared to 9.0%, a difference of 23.3%), seniors poverty over the age of 75 (12.7% compared to 10.5%, a difference of 20.8%), and single male poverty (11.3% compared to 13.5%, a difference of 20.3%). Conversely, both communities are more comparable in terms of female poverty (12.2% compared to 11.9%, a difference of 2.7%), family poverty (7.7% compared to 7.4%, a difference of 4.0%), and female poverty among 18-24 year olds (19.6% compared to 20.4%, a difference of 4.1%).
Poverty Metric | Indian (Asian) | Czech |
Poverty | Exceptional 11.3% | Exceptional 10.8% |
Families | Exceptional 7.7% | Exceptional 7.4% |
Males | Exceptional 10.4% | Exceptional 9.8% |
Females | Exceptional 12.2% | Exceptional 11.9% |
Females 18 to 24 years | Excellent 19.6% | Fair 20.4% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.9% |
Children Under 5 years | Exceptional 13.4% | Exceptional 15.5% |
Children Under 16 years | Exceptional 13.1% | Exceptional 13.8% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 14.1% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 14.2% |
Single Males | Exceptional 11.3% | Tragic 13.5% |
Single Females | Exceptional 17.9% | Average 21.0% |
Single Fathers | Exceptional 14.8% | Tragic 17.0% |
Single Mothers | Exceptional 25.8% | Good 28.9% |
Married Couples | Exceptional 4.8% | Exceptional 4.0% |
Seniors Over 65 years | Fair 11.1% | Exceptional 9.0% |
Seniors Over 75 years | Tragic 12.7% | Exceptional 10.5% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 9.2% |
Indian (Asian) vs Czech Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 9.7%, a difference of 21.8%), unemployment among women with children under 6 years (6.3% compared to 7.6%, a difference of 20.6%), and unemployment (5.1% compared to 4.3%, a difference of 18.3%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 1.7%), unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 2.4%), and unemployment among women with children under 18 years (4.9% compared to 4.7%, a difference of 3.8%).
Unemployment Metric | Indian (Asian) | Czech |
Unemployment | Excellent 5.1% | Exceptional 4.3% |
Males | Good 5.2% | Exceptional 4.5% |
Females | Excellent 5.1% | Exceptional 4.4% |
Youth < 25 | Good 11.5% | Exceptional 10.3% |
Age | 16 to 19 years | Good 17.3% | Exceptional 15.4% |
Age | 20 to 24 years | Good 10.3% | Exceptional 9.3% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.0% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.1% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.0% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.4% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.4% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.0% |
Seniors > 65 | Average 5.2% | Exceptional 4.7% |
Seniors > 75 | Exceptional 8.0% | Tragic 9.7% |
Women w/ Children < 6 | Exceptional 6.3% | Average 7.6% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 8.7% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 4.7% |
Indian (Asian) vs Czech Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 43.6%, a difference of 37.0%), in labor force | age 20-24 (71.9% compared to 78.5%, a difference of 9.2%), and in labor force | age 25-29 (84.7% compared to 85.6%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.5%, a difference of 0.15%), in labor force | age > 16 (65.5% compared to 65.4%, a difference of 0.18%), and in labor force | age 35-44 (84.8% compared to 85.3%, a difference of 0.59%).
Labor Participation Metric | Indian (Asian) | Czech |
In Labor Force | Age > 16 | Excellent 65.5% | Excellent 65.4% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.5% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 43.6% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 78.5% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.6% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 85.3% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.9% |
Indian (Asian) vs Czech Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in single father households (1.9% compared to 2.3%, a difference of 21.5%), births to unmarried women (25.3% compared to 30.5%, a difference of 20.8%), and divorced or separated (10.2% compared to 11.9%, a difference of 17.0%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.5%, a difference of 0.16%), family households (65.1% compared to 64.5%, a difference of 1.1%), and married-couple households (48.7% compared to 49.4%, a difference of 1.5%).
Family Structure Metric | Indian (Asian) | Czech |
Family Households | Exceptional 65.1% | Good 64.5% |
Family Households with Children | Good 27.6% | Good 27.5% |
Married-couple Households | Exceptional 48.7% | Exceptional 49.4% |
Average Family Size | Good 3.24 | Tragic 3.11 |
Single Father Households | Exceptional 1.9% | Good 2.3% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.6% |
Currently Married | Exceptional 48.0% | Exceptional 49.9% |
Divorced or Separated | Exceptional 10.2% | Good 11.9% |
Births to Unmarried Women | Exceptional 25.3% | Excellent 30.5% |
Indian (Asian) vs Czech Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in no vehicles in household (14.1% compared to 6.9%, a difference of 104.4%), 3 or more vehicles in household (19.1% compared to 22.5%, a difference of 17.8%), and 2 or more vehicles in household (53.1% compared to 61.5%, a difference of 15.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 93.3%, a difference of 8.4%), 4 or more vehicles in household (6.4% compared to 7.4%, a difference of 14.3%), and 2 or more vehicles in household (53.1% compared to 61.5%, a difference of 15.8%).
Vehicle Availability Metric | Indian (Asian) | Czech |
No Vehicles Available | Tragic 14.1% | Exceptional 6.9% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 93.3% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 61.5% |
3+ Vehicles Available | Fair 19.1% | Exceptional 22.5% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.4% |
Indian (Asian) vs Czech Education Level
When considering education level, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 65.8%), doctorate degree (2.9% compared to 1.9%, a difference of 54.2%), and professional degree (6.5% compared to 4.4%, a difference of 49.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 0.98%), kindergarten (97.6% compared to 98.6%, a difference of 0.98%), and 1st grade (97.5% compared to 98.5%, a difference of 1.0%).
Education Level Metric | Indian (Asian) | Czech |
No Schooling Completed | Tragic 2.5% | Exceptional 1.5% |
Nursery School | Tragic 97.6% | Exceptional 98.6% |
Kindergarten | Tragic 97.6% | Exceptional 98.6% |
1st Grade | Tragic 97.5% | Exceptional 98.5% |
2nd Grade | Tragic 97.5% | Exceptional 98.5% |
3rd Grade | Tragic 97.4% | Exceptional 98.4% |
4th Grade | Tragic 97.2% | Exceptional 98.3% |
5th Grade | Tragic 96.9% | Exceptional 98.2% |
6th Grade | Tragic 96.6% | Exceptional 98.0% |
7th Grade | Tragic 95.5% | Exceptional 97.4% |
8th Grade | Tragic 95.2% | Exceptional 97.1% |
9th Grade | Tragic 94.5% | Exceptional 96.4% |
10th Grade | Poor 93.4% | Exceptional 95.5% |
11th Grade | Average 92.5% | Exceptional 94.4% |
12th Grade, No Diploma | Good 91.5% | Exceptional 93.2% |
High School Diploma | Good 89.6% | Exceptional 91.6% |
GED/Equivalency | Exceptional 87.1% | Exceptional 88.1% |
College, Under 1 year | Exceptional 70.8% | Exceptional 67.1% |
College, 1 year or more | Exceptional 66.1% | Excellent 60.6% |
Associate's Degree | Exceptional 54.8% | Good 47.2% |
Bachelor's Degree | Exceptional 47.4% | Average 38.0% |
Master's Degree | Exceptional 20.5% | Average 14.7% |
Professional Degree | Exceptional 6.5% | Average 4.4% |
Doctorate Degree | Exceptional 2.9% | Good 1.9% |
Indian (Asian) vs Czech Disability
When considering disability, the most significant differences between Indian (Asian) and Czech communities in the United States are seen in disability age under 5 (1.0% compared to 1.5%, a difference of 54.7%), disability age 18 to 34 (5.5% compared to 7.2%, a difference of 30.7%), and hearing disability (2.7% compared to 3.5%, a difference of 30.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 45.7%, a difference of 1.9%), self-care disability (2.3% compared to 2.3%, a difference of 2.3%), and cognitive disability (16.8% compared to 16.4%, a difference of 2.8%).
Disability Metric | Indian (Asian) | Czech |
Disability | Exceptional 10.3% | Tragic 12.0% |
Males | Exceptional 9.7% | Tragic 11.9% |
Females | Exceptional 10.8% | Good 12.1% |
Age | Under 5 years | Exceptional 1.0% | Tragic 1.5% |
Age | 5 to 17 years | Exceptional 4.6% | Tragic 5.8% |
Age | 18 to 34 years | Exceptional 5.5% | Tragic 7.2% |
Age | 35 to 64 years | Exceptional 8.9% | Average 11.3% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 22.4% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 45.7% |
Vision | Exceptional 1.8% | Excellent 2.1% |
Hearing | Exceptional 2.7% | Tragic 3.5% |
Cognitive | Exceptional 16.8% | Exceptional 16.4% |
Ambulatory | Exceptional 5.4% | Excellent 6.0% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |