Kenyan vs Indian (Asian) Community Comparison
COMPARE
Kenyan
Indian (Asian)
Social Comparison
Social Comparison
Kenyans
Indians (Asian)
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
Indian (Asian) Integration in Kenyan Communities
The statistical analysis conducted on geographies consisting of 165,880,891 people shows a poor negative correlation between the proportion of Indians (Asian) within Kenyan communities in the United States with a correlation coefficient (R) of -0.188. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is a decrease of 0.139% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to a decrease of 139.1 Indians (Asian).
Kenyan vs Indian (Asian) Income
When considering income, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($91,684 compared to $119,496, a difference of 30.3%), per capita income ($42,808 compared to $53,874, a difference of 25.9%), and median household income ($84,085 compared to $105,262, a difference of 25.2%). Conversely, both communities are more comparable in terms of wage/income gap (24.5% compared to 26.4%, a difference of 8.2%), householder income under 25 years ($50,815 compared to $58,239, a difference of 14.6%), and householder income over 65 years ($60,514 compared to $70,238, a difference of 16.1%).
Income Metric | Kenyan | Indian (Asian) |
Per Capita Income | Fair $42,808 | Exceptional $53,874 |
Median Family Income | Fair $101,417 | Exceptional $125,312 |
Median Household Income | Fair $84,085 | Exceptional $105,262 |
Median Earnings | Average $46,462 | Exceptional $56,253 |
Median Male Earnings | Fair $53,647 | Exceptional $66,078 |
Median Female Earnings | Average $39,860 | Exceptional $46,481 |
Householder Age | Under 25 years | Tragic $50,815 | Exceptional $58,239 |
Householder Age | 25 - 44 years | Poor $91,684 | Exceptional $119,496 |
Householder Age | 45 - 64 years | Fair $98,970 | Exceptional $122,343 |
Householder Age | Over 65 years | Fair $60,514 | Exceptional $70,238 |
Wage/Income Gap | Exceptional 24.5% | Poor 26.4% |
Kenyan vs Indian (Asian) Poverty
When considering poverty, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (17.5% compared to 13.4%, a difference of 30.2%), child poverty among girls under 16 (16.8% compared to 13.3%, a difference of 26.2%), and child poverty under the age of 16 (16.5% compared to 13.1%, 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 (20.2% compared to 19.6%, a difference of 2.8%), and single father poverty (15.3% compared to 14.8%, a difference of 3.5%).
Poverty Metric | Kenyan | Indian (Asian) |
Poverty | Fair 12.5% | Exceptional 11.3% |
Families | Average 8.9% | Exceptional 7.7% |
Males | Fair 11.3% | Exceptional 10.4% |
Females | Average 13.5% | Exceptional 12.2% |
Females 18 to 24 years | Average 20.2% | Excellent 19.6% |
Females 25 to 34 years | Average 13.5% | Exceptional 11.2% |
Children Under 5 years | Fair 17.5% | Exceptional 13.4% |
Children Under 16 years | Fair 16.5% | Exceptional 13.1% |
Boys Under 16 years | Average 16.6% | Exceptional 13.3% |
Girls Under 16 years | Fair 16.8% | Exceptional 13.3% |
Single Males | Exceptional 12.4% | Exceptional 11.3% |
Single Females | Good 20.8% | Exceptional 17.9% |
Single Fathers | Exceptional 15.3% | Exceptional 14.8% |
Single Mothers | Exceptional 28.4% | Exceptional 25.8% |
Married Couples | Exceptional 4.8% | Exceptional 4.8% |
Seniors Over 65 years | Exceptional 10.3% | Fair 11.1% |
Seniors Over 75 years | Exceptional 11.5% | Tragic 12.7% |
Receiving Food Stamps | Good 11.6% | Exceptional 9.6% |
Kenyan vs Indian (Asian) Unemployment
When considering unemployment, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.3%, a difference of 20.4%), unemployment among seniors over 75 years (9.1% compared to 8.0%, a difference of 14.0%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 7.7%, 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 | Kenyan | Indian (Asian) |
Unemployment | Excellent 5.1% | Excellent 5.1% |
Males | Good 5.2% | Good 5.2% |
Females | Exceptional 5.0% | Excellent 5.1% |
Youth < 25 | Exceptional 11.2% | Good 11.5% |
Age | 16 to 19 years | Exceptional 16.1% | Good 17.3% |
Age | 20 to 24 years | Exceptional 9.9% | Good 10.3% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.3% |
Age | 30 to 34 years | Exceptional 5.2% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.3% | Good 4.5% |
Age | 55 to 59 years | Exceptional 4.4% | Tragic 4.9% |
Age | 60 to 64 years | Exceptional 4.6% | Tragic 5.0% |
Age | 65 to 74 years | Exceptional 4.8% | Average 5.3% |
Seniors > 65 | Exceptional 4.7% | Average 5.2% |
Seniors > 75 | Tragic 9.1% | Exceptional 8.0% |
Women w/ Children < 6 | Good 7.6% | Exceptional 6.3% |
Women w/ Children 6 to 17 | Excellent 8.8% | Exceptional 7.7% |
Women w/ Children < 18 | Excellent 5.3% | Exceptional 4.9% |
Kenyan vs Indian (Asian) Labor Participation
When considering labor participation, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 31.9%, a difference of 26.0%), in labor force | age 20-24 (77.0% compared to 71.9%, a difference of 7.1%), and in labor force | age > 16 (67.6% compared to 65.5%, 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 (83.7% compared to 83.3%, a difference of 0.48%), and in labor force | age 35-44 (85.2% compared to 84.8%, a difference of 0.51%).
Labor Participation Metric | Kenyan | Indian (Asian) |
In Labor Force | Age > 16 | Exceptional 67.6% | Excellent 65.5% |
In Labor Force | Age 20-64 | Exceptional 80.8% | Excellent 79.9% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Tragic 31.9% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Tragic 71.9% |
In Labor Force | Age 25-29 | Exceptional 85.4% | Good 84.7% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.4% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Exceptional 83.7% | Exceptional 83.3% |
Kenyan vs Indian (Asian) Family Structure
When considering family structure, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in single mother households (7.0% compared to 5.1%, a difference of 36.3%), births to unmarried women (31.9% compared to 25.3%, a difference of 26.2%), and single father households (2.4% compared to 1.9%, a difference of 24.8%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.24, a difference of 0.90%), family households with children (28.4% compared to 27.6%, a difference of 2.9%), and family households (63.2% compared to 65.1%, a difference of 3.1%).
Family Structure Metric | Kenyan | Indian (Asian) |
Family Households | Tragic 63.2% | Exceptional 65.1% |
Family Households with Children | Exceptional 28.4% | Good 27.6% |
Married-couple Households | Tragic 44.7% | Exceptional 48.7% |
Average Family Size | Fair 3.21 | Good 3.24 |
Single Father Households | Fair 2.4% | Exceptional 1.9% |
Single Mother Households | Tragic 7.0% | Exceptional 5.1% |
Currently Married | Tragic 45.2% | Exceptional 48.0% |
Divorced or Separated | Fair 12.2% | Exceptional 10.2% |
Births to Unmarried Women | Average 31.9% | Exceptional 25.3% |
Kenyan vs Indian (Asian) Vehicle Availability
When considering vehicle availability, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in no vehicles in household (9.7% compared to 14.1%, a difference of 44.9%), 4 or more vehicles in household (6.1% compared to 6.4%, a difference of 5.7%), and 1 or more vehicles in household (90.4% compared to 86.0%, 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 (55.5% compared to 53.1%, a difference of 4.6%), and 1 or more vehicles in household (90.4% compared to 86.0%, a difference of 5.0%).
Vehicle Availability Metric | Kenyan | Indian (Asian) |
No Vehicles Available | Excellent 9.7% | Tragic 14.1% |
1+ Vehicles Available | Excellent 90.4% | Tragic 86.0% |
2+ Vehicles Available | Average 55.5% | Tragic 53.1% |
3+ Vehicles Available | Fair 19.1% | Fair 19.1% |
4+ Vehicles Available | Poor 6.1% | Good 6.4% |
Kenyan vs Indian (Asian) Education Level
When considering education level, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in doctorate degree (1.9% compared to 2.9%, a difference of 49.3%), professional degree (4.4% compared to 6.5%, a difference of 48.0%), and master's degree (15.3% compared to 20.5%, 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 (98.0% compared to 97.6%, a difference of 0.35%).
Education Level Metric | Kenyan | Indian (Asian) |
No Schooling Completed | Good 2.0% | Tragic 2.5% |
Nursery School | Average 98.0% | Tragic 97.6% |
Kindergarten | Average 98.0% | Tragic 97.6% |
1st Grade | Average 97.9% | Tragic 97.5% |
2nd Grade | Average 97.9% | Tragic 97.5% |
3rd Grade | Average 97.8% | Tragic 97.4% |
4th Grade | Average 97.5% | Tragic 97.2% |
5th Grade | Average 97.4% | Tragic 96.9% |
6th Grade | Good 97.1% | Tragic 96.6% |
7th Grade | Good 96.2% | Tragic 95.5% |
8th Grade | Good 95.9% | Tragic 95.2% |
9th Grade | Good 95.1% | Tragic 94.5% |
10th Grade | Good 94.0% | Poor 93.4% |
11th Grade | Excellent 92.9% | Average 92.5% |
12th Grade, No Diploma | Good 91.5% | Good 91.5% |
High School Diploma | Excellent 89.6% | Good 89.6% |
GED/Equivalency | Good 86.3% | Exceptional 87.1% |
College, Under 1 year | Excellent 66.5% | Exceptional 70.8% |
College, 1 year or more | Good 60.5% | Exceptional 66.1% |
Associate's Degree | Good 47.1% | Exceptional 54.8% |
Bachelor's Degree | Good 38.7% | Exceptional 47.4% |
Master's Degree | Good 15.3% | Exceptional 20.5% |
Professional Degree | Average 4.4% | Exceptional 6.5% |
Doctorate Degree | Excellent 1.9% | Exceptional 2.9% |
Kenyan vs Indian (Asian) Disability
When considering disability, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in disability age 35 to 64 (11.4% compared to 8.9%, a difference of 28.4%), disability age 5 to 17 (5.8% compared to 4.6%, a difference of 25.9%), and disability age 18 to 34 (6.8% compared to 5.5%, a difference of 22.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.5%, a difference of 1.6%), self-care disability (2.3% compared to 2.3%, a difference of 1.7%), and hearing disability (2.8% compared to 2.7%, a difference of 5.0%).
Disability Metric | Kenyan | Indian (Asian) |
Disability | Excellent 11.5% | Exceptional 10.3% |
Males | Good 11.0% | Exceptional 9.7% |
Females | Exceptional 11.9% | Exceptional 10.8% |
Age | Under 5 years | Good 1.2% | Exceptional 1.0% |
Age | 5 to 17 years | Poor 5.8% | Exceptional 4.6% |
Age | 18 to 34 years | Poor 6.8% | Exceptional 5.5% |
Age | 35 to 64 years | Fair 11.4% | Exceptional 8.9% |
Age | 65 to 74 years | Fair 23.7% | Exceptional 20.5% |
Age | Over 75 years | Average 47.2% | Exceptional 46.5% |
Vision | Exceptional 2.1% | Exceptional 1.8% |
Hearing | Excellent 2.8% | Exceptional 2.7% |
Cognitive | Tragic 18.1% | Exceptional 16.8% |
Ambulatory | Exceptional 5.8% | Exceptional 5.4% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |