Indian (Asian) vs Kenyan Community Comparison
COMPARE
Indian (Asian)
Kenyan
Social Comparison
Social Comparison
Indians (Asian)
Kenyans
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
Kenyan Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 165,864,975 people shows a moderate negative correlation between the proportion of Kenyans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.405. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 2.4 Kenyans.
Indian (Asian) vs Kenyan Income
When considering income, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $91,684, a difference of 30.3%), per capita income ($53,874 compared to $42,808, a difference of 25.9%), and median household income ($105,262 compared to $84,085, a difference of 25.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 24.5%, a difference of 8.2%), householder income under 25 years ($58,239 compared to $50,815, a difference of 14.6%), and householder income over 65 years ($70,238 compared to $60,514, a difference of 16.1%).
Income Metric | Indian (Asian) | Kenyan |
Per Capita Income | Exceptional $53,874 | Fair $42,808 |
Median Family Income | Exceptional $125,312 | Fair $101,417 |
Median Household Income | Exceptional $105,262 | Fair $84,085 |
Median Earnings | Exceptional $56,253 | Average $46,462 |
Median Male Earnings | Exceptional $66,078 | Fair $53,647 |
Median Female Earnings | Exceptional $46,481 | Average $39,860 |
Householder Age | Under 25 years | Exceptional $58,239 | Tragic $50,815 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Poor $91,684 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Fair $98,970 |
Householder Age | Over 65 years | Exceptional $70,238 | Fair $60,514 |
Wage/Income Gap | Poor 26.4% | Exceptional 24.5% |
Indian (Asian) vs Kenyan Poverty
When considering poverty, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 17.5%, a difference of 30.2%), child poverty among girls under 16 (13.3% compared to 16.8%, a difference of 26.2%), and child poverty under the age of 16 (13.1% compared to 16.5%, a difference of 25.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.8%, a difference of 0.80%), female poverty among 18-24 year olds (19.6% compared to 20.2%, a difference of 2.8%), and single father poverty (14.8% compared to 15.3%, a difference of 3.5%).
Poverty Metric | Indian (Asian) | Kenyan |
Poverty | Exceptional 11.3% | Fair 12.5% |
Families | Exceptional 7.7% | Average 8.9% |
Males | Exceptional 10.4% | Fair 11.3% |
Females | Exceptional 12.2% | Average 13.5% |
Females 18 to 24 years | Excellent 19.6% | Average 20.2% |
Females 25 to 34 years | Exceptional 11.2% | Average 13.5% |
Children Under 5 years | Exceptional 13.4% | Fair 17.5% |
Children Under 16 years | Exceptional 13.1% | Fair 16.5% |
Boys Under 16 years | Exceptional 13.3% | Average 16.6% |
Girls Under 16 years | Exceptional 13.3% | Fair 16.8% |
Single Males | Exceptional 11.3% | Exceptional 12.4% |
Single Females | Exceptional 17.9% | Good 20.8% |
Single Fathers | Exceptional 14.8% | Exceptional 15.3% |
Single Mothers | Exceptional 25.8% | Exceptional 28.4% |
Married Couples | Exceptional 4.8% | Exceptional 4.8% |
Seniors Over 65 years | Fair 11.1% | Exceptional 10.3% |
Seniors Over 75 years | Tragic 12.7% | Exceptional 11.5% |
Receiving Food Stamps | Exceptional 9.6% | Good 11.6% |
Indian (Asian) vs Kenyan Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.6%, a difference of 20.4%), unemployment among seniors over 75 years (8.0% compared to 9.1%, a difference of 14.0%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.8%, a difference of 13.7%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.3%, a difference of 0.12%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.12%), and male unemployment (5.2% compared to 5.2%, a difference of 0.29%).
Unemployment Metric | Indian (Asian) | Kenyan |
Unemployment | Excellent 5.1% | Excellent 5.1% |
Males | Good 5.2% | Good 5.2% |
Females | Excellent 5.1% | Exceptional 5.0% |
Youth < 25 | Good 11.5% | Exceptional 11.2% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.1% |
Age | 20 to 24 years | Good 10.3% | Exceptional 9.9% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.3% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.2% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.3% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.4% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.6% |
Age | 65 to 74 years | Average 5.3% | Exceptional 4.8% |
Seniors > 65 | Average 5.2% | Exceptional 4.7% |
Seniors > 75 | Exceptional 8.0% | Tragic 9.1% |
Women w/ Children < 6 | Exceptional 6.3% | Good 7.6% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Excellent 8.8% |
Women w/ Children < 18 | Exceptional 4.9% | Excellent 5.3% |
Indian (Asian) vs Kenyan Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 40.1%, a difference of 26.0%), in labor force | age 20-24 (71.9% compared to 77.0%, a difference of 7.1%), and in labor force | age > 16 (65.5% compared to 67.6%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.070%), in labor force | age 45-54 (83.3% compared to 83.7%, a difference of 0.48%), and in labor force | age 35-44 (84.8% compared to 85.2%, a difference of 0.51%).
Labor Participation Metric | Indian (Asian) | Kenyan |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 67.6% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.8% |
In Labor Force | Age 16-19 | Tragic 31.9% | Exceptional 40.1% |
In Labor Force | Age 20-24 | Tragic 71.9% | Exceptional 77.0% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.4% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.4% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.7% |
Indian (Asian) vs Kenyan Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in single mother households (5.1% compared to 7.0%, a difference of 36.3%), births to unmarried women (25.3% compared to 31.9%, a difference of 26.2%), and single father households (1.9% compared to 2.4%, a difference of 24.8%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.21, a difference of 0.90%), family households with children (27.6% compared to 28.4%, a difference of 2.9%), and family households (65.1% compared to 63.2%, a difference of 3.1%).
Family Structure Metric | Indian (Asian) | Kenyan |
Family Households | Exceptional 65.1% | Tragic 63.2% |
Family Households with Children | Good 27.6% | Exceptional 28.4% |
Married-couple Households | Exceptional 48.7% | Tragic 44.7% |
Average Family Size | Good 3.24 | Fair 3.21 |
Single Father Households | Exceptional 1.9% | Fair 2.4% |
Single Mother Households | Exceptional 5.1% | Tragic 7.0% |
Currently Married | Exceptional 48.0% | Tragic 45.2% |
Divorced or Separated | Exceptional 10.2% | Fair 12.2% |
Births to Unmarried Women | Exceptional 25.3% | Average 31.9% |
Indian (Asian) vs Kenyan Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in no vehicles in household (14.1% compared to 9.7%, a difference of 44.9%), 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 5.7%), and 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.1%, a difference of 0.13%), 2 or more vehicles in household (53.1% compared to 55.5%, a difference of 4.6%), and 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.0%).
Vehicle Availability Metric | Indian (Asian) | Kenyan |
No Vehicles Available | Tragic 14.1% | Excellent 9.7% |
1+ Vehicles Available | Tragic 86.0% | Excellent 90.4% |
2+ Vehicles Available | Tragic 53.1% | Average 55.5% |
3+ Vehicles Available | Fair 19.1% | Fair 19.1% |
4+ Vehicles Available | Good 6.4% | Poor 6.1% |
Indian (Asian) vs Kenyan Education Level
When considering education level, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in doctorate degree (2.9% compared to 1.9%, a difference of 49.3%), professional degree (6.5% compared to 4.4%, a difference of 48.0%), and master's degree (20.5% compared to 15.3%, a difference of 33.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.5%, a difference of 0.040%), high school diploma (89.6% compared to 89.6%, a difference of 0.060%), and nursery school (97.6% compared to 98.0%, a difference of 0.35%).
Education Level Metric | Indian (Asian) | Kenyan |
No Schooling Completed | Tragic 2.5% | Good 2.0% |
Nursery School | Tragic 97.6% | Average 98.0% |
Kindergarten | Tragic 97.6% | Average 98.0% |
1st Grade | Tragic 97.5% | Average 97.9% |
2nd Grade | Tragic 97.5% | Average 97.9% |
3rd Grade | Tragic 97.4% | Average 97.8% |
4th Grade | Tragic 97.2% | Average 97.5% |
5th Grade | Tragic 96.9% | Average 97.4% |
6th Grade | Tragic 96.6% | Good 97.1% |
7th Grade | Tragic 95.5% | Good 96.2% |
8th Grade | Tragic 95.2% | Good 95.9% |
9th Grade | Tragic 94.5% | Good 95.1% |
10th Grade | Poor 93.4% | Good 94.0% |
11th Grade | Average 92.5% | Excellent 92.9% |
12th Grade, No Diploma | Good 91.5% | Good 91.5% |
High School Diploma | Good 89.6% | Excellent 89.6% |
GED/Equivalency | Exceptional 87.1% | Good 86.3% |
College, Under 1 year | Exceptional 70.8% | Excellent 66.5% |
College, 1 year or more | Exceptional 66.1% | Good 60.5% |
Associate's Degree | Exceptional 54.8% | Good 47.1% |
Bachelor's Degree | Exceptional 47.4% | Good 38.7% |
Master's Degree | Exceptional 20.5% | Good 15.3% |
Professional Degree | Exceptional 6.5% | Average 4.4% |
Doctorate Degree | Exceptional 2.9% | Excellent 1.9% |
Indian (Asian) vs Kenyan Disability
When considering disability, the most significant differences between Indian (Asian) and Kenyan communities in the United States are seen in disability age 35 to 64 (8.9% compared to 11.4%, a difference of 28.4%), disability age 5 to 17 (4.6% compared to 5.8%, a difference of 25.9%), and disability age 18 to 34 (5.5% compared to 6.8%, a difference of 22.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.2%, a difference of 1.6%), self-care disability (2.3% compared to 2.3%, a difference of 1.7%), and hearing disability (2.7% compared to 2.8%, a difference of 5.0%).
Disability Metric | Indian (Asian) | Kenyan |
Disability | Exceptional 10.3% | Excellent 11.5% |
Males | Exceptional 9.7% | Good 11.0% |
Females | Exceptional 10.8% | Exceptional 11.9% |
Age | Under 5 years | Exceptional 1.0% | Good 1.2% |
Age | 5 to 17 years | Exceptional 4.6% | Poor 5.8% |
Age | 18 to 34 years | Exceptional 5.5% | Poor 6.8% |
Age | 35 to 64 years | Exceptional 8.9% | Fair 11.4% |
Age | 65 to 74 years | Exceptional 20.5% | Fair 23.7% |
Age | Over 75 years | Exceptional 46.5% | Average 47.2% |
Vision | Exceptional 1.8% | Exceptional 2.1% |
Hearing | Exceptional 2.7% | Excellent 2.8% |
Cognitive | Exceptional 16.8% | Tragic 18.1% |
Ambulatory | Exceptional 5.4% | Exceptional 5.8% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |