Kenyan vs Czech Community Comparison
COMPARE
Kenyan
Czech
Social Comparison
Social Comparison
Kenyans
Czechs
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
Czech Integration in Kenyan Communities
The statistical analysis conducted on geographies consisting of 161,630,947 people shows a poor positive correlation between the proportion of Czechs within Kenyan communities in the United States with a correlation coefficient (R) of 0.100. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.013% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 13.1 Czechs.
Kenyan vs Czech Income
When considering income, the most significant differences between Kenyan and Czech communities in the United States are seen in wage/income gap (24.5% compared to 29.2%, a difference of 19.3%), median male earnings ($53,647 compared to $56,546, a difference of 5.4%), and householder income ages 25 - 44 years ($91,684 compared to $96,525, a difference of 5.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $51,421, a difference of 1.2%), householder income over 65 years ($60,514 compared to $61,244, a difference of 1.2%), and median earnings ($46,462 compared to $47,221, a difference of 1.6%).
Income Metric | Kenyan | Czech |
Per Capita Income | Fair $42,808 | Good $44,595 |
Median Family Income | Fair $101,417 | Excellent $105,839 |
Median Household Income | Fair $84,085 | Good $86,164 |
Median Earnings | Average $46,462 | Good $47,221 |
Median Male Earnings | Fair $53,647 | Excellent $56,546 |
Median Female Earnings | Average $39,860 | Poor $38,992 |
Householder Age | Under 25 years | Tragic $50,815 | Poor $51,421 |
Householder Age | 25 - 44 years | Poor $91,684 | Good $96,525 |
Householder Age | 45 - 64 years | Fair $98,970 | Excellent $103,507 |
Householder Age | Over 65 years | Fair $60,514 | Average $61,244 |
Wage/Income Gap | Exceptional 24.5% | Tragic 29.2% |
Kenyan vs Czech Poverty
When considering poverty, the most significant differences between Kenyan and Czech communities in the United States are seen in receiving food stamps (11.6% compared to 9.2%, a difference of 25.5%), family poverty (8.9% compared to 7.4%, a difference of 20.2%), and child poverty under the age of 16 (16.5% compared to 13.8%, a difference of 19.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.2% compared to 20.4%, a difference of 1.3%), single female poverty (20.8% compared to 21.0%, a difference of 1.4%), and single mother poverty (28.4% compared to 28.9%, a difference of 1.9%).
Poverty Metric | Kenyan | Czech |
Poverty | Fair 12.5% | Exceptional 10.8% |
Families | Average 8.9% | Exceptional 7.4% |
Males | Fair 11.3% | Exceptional 9.8% |
Females | Average 13.5% | Exceptional 11.9% |
Females 18 to 24 years | Average 20.2% | Fair 20.4% |
Females 25 to 34 years | Average 13.5% | Exceptional 12.9% |
Children Under 5 years | Fair 17.5% | Exceptional 15.5% |
Children Under 16 years | Fair 16.5% | Exceptional 13.8% |
Boys Under 16 years | Average 16.6% | Exceptional 14.1% |
Girls Under 16 years | Fair 16.8% | Exceptional 14.2% |
Single Males | Exceptional 12.4% | Tragic 13.5% |
Single Females | Good 20.8% | Average 21.0% |
Single Fathers | Exceptional 15.3% | Tragic 17.0% |
Single Mothers | Exceptional 28.4% | Good 28.9% |
Married Couples | Exceptional 4.8% | Exceptional 4.0% |
Seniors Over 65 years | Exceptional 10.3% | Exceptional 9.0% |
Seniors Over 75 years | Exceptional 11.5% | Exceptional 10.5% |
Receiving Food Stamps | Good 11.6% | Exceptional 9.2% |
Kenyan vs Czech Unemployment
When considering unemployment, the most significant differences between Kenyan and Czech communities in the United States are seen in unemployment (5.1% compared to 4.3%, a difference of 17.3%), female unemployment (5.0% compared to 4.4%, a difference of 15.0%), and male unemployment (5.2% compared to 4.5%, a difference of 14.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.6% compared to 7.6%, a difference of 0.19%), unemployment among seniors over 65 years (4.7% compared to 4.7%, a difference of 0.42%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 8.7%, a difference of 1.2%).
Unemployment Metric | Kenyan | Czech |
Unemployment | Excellent 5.1% | Exceptional 4.3% |
Males | Good 5.2% | Exceptional 4.5% |
Females | Exceptional 5.0% | Exceptional 4.4% |
Youth < 25 | Exceptional 11.2% | Exceptional 10.3% |
Age | 16 to 19 years | Exceptional 16.1% | Exceptional 15.4% |
Age | 20 to 24 years | Exceptional 9.9% | Exceptional 9.3% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.2% | Exceptional 5.0% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.1% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.0% |
Age | 55 to 59 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.4% |
Age | 65 to 74 years | Exceptional 4.8% | Exceptional 5.0% |
Seniors > 65 | Exceptional 4.7% | Exceptional 4.7% |
Seniors > 75 | Tragic 9.1% | Tragic 9.7% |
Women w/ Children < 6 | Good 7.6% | Average 7.6% |
Women w/ Children 6 to 17 | Excellent 8.8% | Exceptional 8.7% |
Women w/ Children < 18 | Excellent 5.3% | Exceptional 4.7% |
Kenyan vs Czech Labor Participation
When considering labor participation, the most significant differences between Kenyan and Czech communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 43.6%, a difference of 8.7%), in labor force | age > 16 (67.6% compared to 65.4%, a difference of 3.4%), and in labor force | age 20-24 (77.0% compared to 78.5%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.5%, a difference of 0.080%), in labor force | age 35-44 (85.2% compared to 85.3%, a difference of 0.080%), and in labor force | age 45-54 (83.7% compared to 83.9%, a difference of 0.25%).
Labor Participation Metric | Kenyan | Czech |
In Labor Force | Age > 16 | Exceptional 67.6% | Excellent 65.4% |
In Labor Force | Age 20-64 | Exceptional 80.8% | Exceptional 80.5% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Exceptional 43.6% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Exceptional 78.5% |
In Labor Force | Age 25-29 | Exceptional 85.4% | Exceptional 85.6% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Exceptional 85.3% |
In Labor Force | Age 45-54 | Exceptional 83.7% | Exceptional 83.9% |
Kenyan vs Czech Family Structure
When considering family structure, the most significant differences between Kenyan and Czech communities in the United States are seen in single mother households (7.0% compared to 5.6%, a difference of 23.3%), married-couple households (44.7% compared to 49.4%, a difference of 10.6%), and currently married (45.2% compared to 49.9%, a difference of 10.4%). Conversely, both communities are more comparable in terms of family households (63.2% compared to 64.5%, a difference of 2.1%), divorced or separated (12.2% compared to 11.9%, a difference of 2.1%), and single father households (2.4% compared to 2.3%, a difference of 2.7%).
Family Structure Metric | Kenyan | Czech |
Family Households | Tragic 63.2% | Good 64.5% |
Family Households with Children | Exceptional 28.4% | Good 27.5% |
Married-couple Households | Tragic 44.7% | Exceptional 49.4% |
Average Family Size | Fair 3.21 | Tragic 3.11 |
Single Father Households | Fair 2.4% | Good 2.3% |
Single Mother Households | Tragic 7.0% | Exceptional 5.6% |
Currently Married | Tragic 45.2% | Exceptional 49.9% |
Divorced or Separated | Fair 12.2% | Good 11.9% |
Births to Unmarried Women | Average 31.9% | Excellent 30.5% |
Kenyan vs Czech Vehicle Availability
When considering vehicle availability, the most significant differences between Kenyan and Czech communities in the United States are seen in no vehicles in household (9.7% compared to 6.9%, a difference of 41.0%), 4 or more vehicles in household (6.1% compared to 7.4%, a difference of 20.7%), and 3 or more vehicles in household (19.1% compared to 22.5%, a difference of 17.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 93.3%, a difference of 3.2%), 2 or more vehicles in household (55.5% compared to 61.5%, a difference of 10.7%), and 3 or more vehicles in household (19.1% compared to 22.5%, a difference of 17.9%).
Vehicle Availability Metric | Kenyan | Czech |
No Vehicles Available | Excellent 9.7% | Exceptional 6.9% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 93.3% |
2+ Vehicles Available | Average 55.5% | Exceptional 61.5% |
3+ Vehicles Available | Fair 19.1% | Exceptional 22.5% |
4+ Vehicles Available | Poor 6.1% | Exceptional 7.4% |
Kenyan vs Czech Education Level
When considering education level, the most significant differences between Kenyan and Czech communities in the United States are seen in no schooling completed (2.0% compared to 1.5%, a difference of 37.1%), master's degree (15.3% compared to 14.7%, a difference of 4.1%), and doctorate degree (1.9% compared to 1.9%, a difference of 3.3%). Conversely, both communities are more comparable in terms of associate's degree (47.1% compared to 47.2%, a difference of 0.14%), college, 1 year or more (60.5% compared to 60.6%, a difference of 0.24%), and nursery school (98.0% compared to 98.6%, a difference of 0.62%).
Education Level Metric | Kenyan | Czech |
No Schooling Completed | Good 2.0% | Exceptional 1.5% |
Nursery School | Average 98.0% | Exceptional 98.6% |
Kindergarten | Average 98.0% | Exceptional 98.6% |
1st Grade | Average 97.9% | Exceptional 98.5% |
2nd Grade | Average 97.9% | Exceptional 98.5% |
3rd Grade | Average 97.8% | Exceptional 98.4% |
4th Grade | Average 97.5% | Exceptional 98.3% |
5th Grade | Average 97.4% | Exceptional 98.2% |
6th Grade | Good 97.1% | Exceptional 98.0% |
7th Grade | Good 96.2% | Exceptional 97.4% |
8th Grade | Good 95.9% | Exceptional 97.1% |
9th Grade | Good 95.1% | Exceptional 96.4% |
10th Grade | Good 94.0% | Exceptional 95.5% |
11th Grade | Excellent 92.9% | Exceptional 94.4% |
12th Grade, No Diploma | Good 91.5% | Exceptional 93.2% |
High School Diploma | Excellent 89.6% | Exceptional 91.6% |
GED/Equivalency | Good 86.3% | Exceptional 88.1% |
College, Under 1 year | Excellent 66.5% | Exceptional 67.1% |
College, 1 year or more | Good 60.5% | Excellent 60.6% |
Associate's Degree | Good 47.1% | Good 47.2% |
Bachelor's Degree | Good 38.7% | Average 38.0% |
Master's Degree | Good 15.3% | Average 14.7% |
Professional Degree | Average 4.4% | Average 4.4% |
Doctorate Degree | Excellent 1.9% | Good 1.9% |
Kenyan vs Czech Disability
When considering disability, the most significant differences between Kenyan and Czech communities in the United States are seen in disability age under 5 (1.2% compared to 1.5%, a difference of 28.3%), hearing disability (2.8% compared to 3.5%, a difference of 23.9%), and cognitive disability (18.1% compared to 16.4%, a difference of 10.6%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.41%), self-care disability (2.3% compared to 2.3%, a difference of 0.62%), and disability age 35 to 64 (11.4% compared to 11.3%, a difference of 0.71%).
Disability Metric | Kenyan | Czech |
Disability | Excellent 11.5% | Tragic 12.0% |
Males | Good 11.0% | Tragic 11.9% |
Females | Exceptional 11.9% | Good 12.1% |
Age | Under 5 years | Good 1.2% | Tragic 1.5% |
Age | 5 to 17 years | Poor 5.8% | Tragic 5.8% |
Age | 18 to 34 years | Poor 6.8% | Tragic 7.2% |
Age | 35 to 64 years | Fair 11.4% | Average 11.3% |
Age | 65 to 74 years | Fair 23.7% | Exceptional 22.4% |
Age | Over 75 years | Average 47.2% | Exceptional 45.7% |
Vision | Exceptional 2.1% | Excellent 2.1% |
Hearing | Excellent 2.8% | Tragic 3.5% |
Cognitive | Tragic 18.1% | Exceptional 16.4% |
Ambulatory | Exceptional 5.8% | Excellent 6.0% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |