Kenyan vs Chinese Community Comparison
COMPARE
Kenyan
Chinese
Social Comparison
Social Comparison
Kenyans
Chinese
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
Chinese Integration in Kenyan Communities
The statistical analysis conducted on geographies consisting of 46,006,840 people shows a very strong positive correlation between the proportion of Chinese within Kenyan communities in the United States with a correlation coefficient (R) of 0.899. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.697% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 697.4 Chinese.
Kenyan vs Chinese Income
When considering income, the most significant differences between Kenyan and Chinese communities in the United States are seen in householder income over 65 years ($60,514 compared to $77,465, a difference of 28.0%), householder income ages 45 - 64 years ($98,970 compared to $116,156, a difference of 17.4%), and median household income ($84,085 compared to $98,496, a difference of 17.1%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $41,461, a difference of 4.0%), median earnings ($46,462 compared to $48,836, a difference of 5.1%), and wage/income gap (24.5% compared to 25.9%, a difference of 5.9%).
Income Metric | Kenyan | Chinese |
Per Capita Income | Fair $42,808 | Exceptional $46,098 |
Median Family Income | Fair $101,417 | Exceptional $116,188 |
Median Household Income | Fair $84,085 | Exceptional $98,496 |
Median Earnings | Average $46,462 | Exceptional $48,836 |
Median Male Earnings | Fair $53,647 | Exceptional $56,872 |
Median Female Earnings | Average $39,860 | Exceptional $41,461 |
Householder Age | Under 25 years | Tragic $50,815 | Exceptional $58,162 |
Householder Age | 25 - 44 years | Poor $91,684 | Exceptional $104,264 |
Householder Age | 45 - 64 years | Fair $98,970 | Exceptional $116,156 |
Householder Age | Over 65 years | Fair $60,514 | Exceptional $77,465 |
Wage/Income Gap | Exceptional 24.5% | Average 25.9% |
Kenyan vs Chinese Poverty
When considering poverty, the most significant differences between Kenyan and Chinese communities in the United States are seen in child poverty among boys under 16 (16.6% compared to 11.9%, a difference of 39.9%), child poverty under the age of 16 (16.5% compared to 11.9%, a difference of 38.6%), and family poverty (8.9% compared to 6.5%, a difference of 36.9%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.4%, a difference of 0.56%), single male poverty (12.4% compared to 11.0%, a difference of 12.5%), and single mother poverty (28.4% compared to 24.6%, a difference of 15.2%).
Poverty Metric | Kenyan | Chinese |
Poverty | Fair 12.5% | Exceptional 9.5% |
Families | Average 8.9% | Exceptional 6.5% |
Males | Fair 11.3% | Exceptional 8.7% |
Females | Average 13.5% | Exceptional 10.4% |
Females 18 to 24 years | Average 20.2% | Exceptional 16.2% |
Females 25 to 34 years | Average 13.5% | Exceptional 11.0% |
Children Under 5 years | Fair 17.5% | Exceptional 13.1% |
Children Under 16 years | Fair 16.5% | Exceptional 11.9% |
Boys Under 16 years | Average 16.6% | Exceptional 11.9% |
Girls Under 16 years | Fair 16.8% | Exceptional 12.3% |
Single Males | Exceptional 12.4% | Exceptional 11.0% |
Single Females | Good 20.8% | Exceptional 16.1% |
Single Fathers | Exceptional 15.3% | Exceptional 15.4% |
Single Mothers | Exceptional 28.4% | Exceptional 24.6% |
Married Couples | Exceptional 4.8% | Exceptional 3.6% |
Seniors Over 65 years | Exceptional 10.3% | Exceptional 8.3% |
Seniors Over 75 years | Exceptional 11.5% | Exceptional 9.1% |
Receiving Food Stamps | Good 11.6% | Exceptional 9.8% |
Kenyan vs Chinese Unemployment
When considering unemployment, the most significant differences between Kenyan and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.1% compared to 5.9%, a difference of 53.6%), unemployment among ages 60 to 64 years (4.6% compared to 4.0%, a difference of 14.2%), and female unemployment (5.0% compared to 4.5%, a difference of 12.5%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.1% compared to 16.0%, a difference of 0.040%), unemployment among ages 55 to 59 years (4.4% compared to 4.4%, a difference of 0.62%), and unemployment among ages 30 to 34 years (5.2% compared to 5.1%, a difference of 2.4%).
Unemployment Metric | Kenyan | Chinese |
Unemployment | Excellent 5.1% | Exceptional 4.7% |
Males | Good 5.2% | Exceptional 4.9% |
Females | Exceptional 5.0% | Exceptional 4.5% |
Youth < 25 | Exceptional 11.2% | Exceptional 10.7% |
Age | 16 to 19 years | Exceptional 16.1% | Exceptional 16.0% |
Age | 20 to 24 years | Exceptional 9.9% | Exceptional 9.4% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.1% |
Age | 30 to 34 years | Exceptional 5.2% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
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 4.0% |
Age | 65 to 74 years | Exceptional 4.8% | Exceptional 4.4% |
Seniors > 65 | Exceptional 4.7% | Exceptional 4.2% |
Seniors > 75 | Tragic 9.1% | Exceptional 5.9% |
Women w/ Children < 6 | Good 7.6% | Exceptional 6.8% |
Women w/ Children 6 to 17 | Excellent 8.8% | Tragic 9.3% |
Women w/ Children < 18 | Excellent 5.3% | Exceptional 4.9% |
Kenyan vs Chinese Labor Participation
When considering labor participation, the most significant differences between Kenyan and Chinese communities in the United States are seen in in labor force | age > 16 (67.6% compared to 64.7%, a difference of 4.5%), in labor force | age 16-19 (40.1% compared to 38.6%, a difference of 4.0%), and in labor force | age 25-29 (85.4% compared to 84.3%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.8% compared to 80.7%, a difference of 0.18%), in labor force | age 35-44 (85.2% compared to 85.1%, a difference of 0.19%), and in labor force | age 20-24 (77.0% compared to 77.3%, a difference of 0.34%).
Labor Participation Metric | Kenyan | Chinese |
In Labor Force | Age > 16 | Exceptional 67.6% | Tragic 64.7% |
In Labor Force | Age 20-64 | Exceptional 80.8% | Exceptional 80.7% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Exceptional 38.6% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Exceptional 77.3% |
In Labor Force | Age 25-29 | Exceptional 85.4% | Poor 84.3% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Excellent 85.0% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Exceptional 85.1% |
In Labor Force | Age 45-54 | Exceptional 83.7% | Exceptional 84.1% |
Kenyan vs Chinese Family Structure
When considering family structure, the most significant differences between Kenyan and Chinese communities in the United States are seen in single mother households (7.0% compared to 5.2%, a difference of 34.8%), single father households (2.4% compared to 2.0%, a difference of 20.6%), and married-couple households (44.7% compared to 50.4%, a difference of 12.7%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.34, a difference of 3.9%), births to unmarried women (31.9% compared to 30.2%, a difference of 5.4%), and family households (63.2% compared to 68.1%, a difference of 7.9%).
Family Structure Metric | Kenyan | Chinese |
Family Households | Tragic 63.2% | Exceptional 68.1% |
Family Households with Children | Exceptional 28.4% | Tragic 26.0% |
Married-couple Households | Tragic 44.7% | Exceptional 50.4% |
Average Family Size | Fair 3.21 | Exceptional 3.34 |
Single Father Households | Fair 2.4% | Exceptional 2.0% |
Single Mother Households | Tragic 7.0% | Exceptional 5.2% |
Currently Married | Tragic 45.2% | Exceptional 49.5% |
Divorced or Separated | Fair 12.2% | Exceptional 11.2% |
Births to Unmarried Women | Average 31.9% | Excellent 30.2% |
Kenyan vs Chinese Vehicle Availability
When considering vehicle availability, the most significant differences between Kenyan and Chinese communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 8.8%, a difference of 45.4%), 3 or more vehicles in household (19.1% compared to 23.9%, a difference of 25.0%), and no vehicles in household (9.7% compared to 8.2%, a difference of 18.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.9%, a difference of 1.7%), 2 or more vehicles in household (55.5% compared to 60.1%, a difference of 8.2%), and no vehicles in household (9.7% compared to 8.2%, a difference of 18.0%).
Vehicle Availability Metric | Kenyan | Chinese |
No Vehicles Available | Excellent 9.7% | Exceptional 8.2% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 91.9% |
2+ Vehicles Available | Average 55.5% | Exceptional 60.1% |
3+ Vehicles Available | Fair 19.1% | Exceptional 23.9% |
4+ Vehicles Available | Poor 6.1% | Exceptional 8.8% |
Kenyan vs Chinese Education Level
When considering education level, the most significant differences between Kenyan and Chinese communities in the United States are seen in no schooling completed (2.0% compared to 1.5%, a difference of 38.9%), doctorate degree (1.9% compared to 1.8%, a difference of 10.4%), and master's degree (15.3% compared to 14.6%, a difference of 5.2%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.6%, a difference of 0.59%), kindergarten (98.0% compared to 98.5%, a difference of 0.60%), and 1st grade (97.9% compared to 98.5%, a difference of 0.60%).
Education Level Metric | Kenyan | Chinese |
No Schooling Completed | Good 2.0% | Exceptional 1.5% |
Nursery School | Average 98.0% | Exceptional 98.6% |
Kindergarten | Average 98.0% | Exceptional 98.5% |
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 98.1% |
6th Grade | Good 97.1% | Exceptional 97.9% |
7th Grade | Good 96.2% | Exceptional 97.1% |
8th Grade | Good 95.9% | Exceptional 96.9% |
9th Grade | Good 95.1% | Exceptional 96.3% |
10th Grade | Good 94.0% | Exceptional 95.5% |
11th Grade | Excellent 92.9% | Exceptional 94.6% |
12th Grade, No Diploma | Good 91.5% | Exceptional 93.6% |
High School Diploma | Excellent 89.6% | Exceptional 92.0% |
GED/Equivalency | Good 86.3% | Exceptional 89.0% |
College, Under 1 year | Excellent 66.5% | Exceptional 68.3% |
College, 1 year or more | Good 60.5% | Exceptional 62.2% |
Associate's Degree | Good 47.1% | Exceptional 48.5% |
Bachelor's Degree | Good 38.7% | Good 38.5% |
Master's Degree | Good 15.3% | Fair 14.6% |
Professional Degree | Average 4.4% | Average 4.5% |
Doctorate Degree | Excellent 1.9% | Fair 1.8% |
Kenyan vs Chinese Disability
When considering disability, the most significant differences between Kenyan and Chinese communities in the United States are seen in hearing disability (2.8% compared to 3.7%, a difference of 29.5%), disability age 5 to 17 (5.8% compared to 4.7%, a difference of 22.5%), and cognitive disability (18.1% compared to 15.9%, a difference of 13.8%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.0%, a difference of 1.7%), disability age over 75 (47.2% compared to 48.7%, a difference of 3.1%), and female disability (11.9% compared to 12.3%, a difference of 4.0%).
Disability Metric | Kenyan | Chinese |
Disability | Excellent 11.5% | Tragic 12.2% |
Males | Good 11.0% | Tragic 12.1% |
Females | Exceptional 11.9% | Fair 12.3% |
Age | Under 5 years | Good 1.2% | Exceptional 1.1% |
Age | 5 to 17 years | Poor 5.8% | Exceptional 4.7% |
Age | 18 to 34 years | Poor 6.8% | Exceptional 6.3% |
Age | 35 to 64 years | Fair 11.4% | Exceptional 10.3% |
Age | 65 to 74 years | Fair 23.7% | Exceptional 21.7% |
Age | Over 75 years | Average 47.2% | Tragic 48.7% |
Vision | Exceptional 2.1% | Exceptional 2.0% |
Hearing | Excellent 2.8% | Tragic 3.7% |
Cognitive | Tragic 18.1% | Exceptional 15.9% |
Ambulatory | Exceptional 5.8% | Tragic 6.5% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |