Kenyan vs Mongolian Community Comparison
COMPARE
Kenyan
Mongolian
Social Comparison
Social Comparison
Kenyans
Mongolians
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
Mongolian Integration in Kenyan Communities
The statistical analysis conducted on geographies consisting of 89,999,642 people shows a substantial positive correlation between the proportion of Mongolians within Kenyan communities in the United States with a correlation coefficient (R) of 0.592. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.094% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 93.7 Mongolians.
Kenyan vs Mongolian Income
When considering income, the most significant differences between Kenyan and Mongolian communities in the United States are seen in per capita income ($42,808 compared to $49,173, a difference of 14.9%), householder income ages 25 - 44 years ($91,684 compared to $104,578, a difference of 14.1%), and median family income ($101,417 compared to $114,553, a difference of 13.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $52,540, a difference of 3.4%), median female earnings ($39,860 compared to $42,542, a difference of 6.7%), and householder income over 65 years ($60,514 compared to $65,326, a difference of 8.0%).
Income Metric | Kenyan | Mongolian |
Per Capita Income | Fair $42,808 | Exceptional $49,173 |
Median Family Income | Fair $101,417 | Exceptional $114,553 |
Median Household Income | Fair $84,085 | Exceptional $93,971 |
Median Earnings | Average $46,462 | Exceptional $51,038 |
Median Male Earnings | Fair $53,647 | Exceptional $60,350 |
Median Female Earnings | Average $39,860 | Exceptional $42,542 |
Householder Age | Under 25 years | Tragic $50,815 | Good $52,540 |
Householder Age | 25 - 44 years | Poor $91,684 | Exceptional $104,578 |
Householder Age | 45 - 64 years | Fair $98,970 | Exceptional $111,602 |
Householder Age | Over 65 years | Fair $60,514 | Exceptional $65,326 |
Wage/Income Gap | Exceptional 24.5% | Poor 26.6% |
Kenyan vs Mongolian Poverty
When considering poverty, the most significant differences between Kenyan and Mongolian communities in the United States are seen in receiving food stamps (11.6% compared to 10.5%, a difference of 10.7%), child poverty under the age of 16 (16.5% compared to 15.2%, a difference of 9.0%), and child poverty among girls under 16 (16.8% compared to 15.4%, a difference of 8.9%). Conversely, both communities are more comparable in terms of male poverty (11.3% compared to 11.3%, a difference of 0.060%), single father poverty (15.3% compared to 15.3%, a difference of 0.42%), and poverty (12.5% compared to 12.4%, a difference of 0.48%).
Poverty Metric | Kenyan | Mongolian |
Poverty | Fair 12.5% | Average 12.4% |
Families | Average 8.9% | Excellent 8.6% |
Males | Fair 11.3% | Fair 11.3% |
Females | Average 13.5% | Average 13.4% |
Females 18 to 24 years | Average 20.2% | Tragic 21.6% |
Females 25 to 34 years | Average 13.5% | Exceptional 12.8% |
Children Under 5 years | Fair 17.5% | Exceptional 16.1% |
Children Under 16 years | Fair 16.5% | Excellent 15.2% |
Boys Under 16 years | Average 16.6% | Exceptional 15.4% |
Girls Under 16 years | Fair 16.8% | Excellent 15.4% |
Single Males | Exceptional 12.4% | Exceptional 12.2% |
Single Females | Good 20.8% | Exceptional 20.2% |
Single Fathers | Exceptional 15.3% | Exceptional 15.3% |
Single Mothers | Exceptional 28.4% | Exceptional 27.7% |
Married Couples | Exceptional 4.8% | Good 5.0% |
Seniors Over 65 years | Exceptional 10.3% | Average 10.9% |
Seniors Over 75 years | Exceptional 11.5% | Average 12.2% |
Receiving Food Stamps | Good 11.6% | Exceptional 10.5% |
Kenyan vs Mongolian Unemployment
When considering unemployment, the most significant differences between Kenyan and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.5%, a difference of 17.1%), unemployment among ages 65 to 74 years (4.8% compared to 5.3%, a difference of 10.8%), and unemployment among seniors over 65 years (4.7% compared to 5.1%, a difference of 8.7%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.2% compared to 5.2%, a difference of 0.090%), unemployment among ages 20 to 24 years (9.9% compared to 9.9%, a difference of 0.40%), and unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.77%).
Unemployment Metric | Kenyan | Mongolian |
Unemployment | Excellent 5.1% | Exceptional 5.0% |
Males | Good 5.2% | Excellent 5.1% |
Females | Exceptional 5.0% | Exceptional 5.0% |
Youth < 25 | Exceptional 11.2% | Exceptional 11.1% |
Age | 16 to 19 years | Exceptional 16.1% | Exceptional 16.9% |
Age | 20 to 24 years | Exceptional 9.9% | Exceptional 9.9% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.2% | Exceptional 5.2% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.3% |
Age | 55 to 59 years | Exceptional 4.4% | Exceptional 4.6% |
Age | 60 to 64 years | Exceptional 4.6% | Excellent 4.8% |
Age | 65 to 74 years | Exceptional 4.8% | Good 5.3% |
Seniors > 65 | Exceptional 4.7% | Average 5.1% |
Seniors > 75 | Tragic 9.1% | Excellent 8.6% |
Women w/ Children < 6 | Good 7.6% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Excellent 8.8% | Exceptional 8.4% |
Women w/ Children < 18 | Excellent 5.3% | Exceptional 5.0% |
Kenyan vs Mongolian Labor Participation
When considering labor participation, the most significant differences between Kenyan and Mongolian communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 35.3%, a difference of 13.8%), in labor force | age 20-24 (77.0% compared to 73.3%, a difference of 5.0%), and in labor force | age > 16 (67.6% compared to 66.1%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.15%), in labor force | age 25-29 (85.4% compared to 85.1%, a difference of 0.33%), and in labor force | age 35-44 (85.2% compared to 84.8%, a difference of 0.48%).
Labor Participation Metric | Kenyan | Mongolian |
In Labor Force | Age > 16 | Exceptional 67.6% | Exceptional 66.1% |
In Labor Force | Age 20-64 | Exceptional 80.8% | Exceptional 79.9% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Tragic 35.3% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Tragic 73.3% |
In Labor Force | Age 25-29 | Exceptional 85.4% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.3% |
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 Mongolian Family Structure
When considering family structure, the most significant differences between Kenyan and Mongolian communities in the United States are seen in single mother households (7.0% compared to 5.8%, a difference of 20.2%), single father households (2.4% compared to 2.1%, a difference of 15.9%), and births to unmarried women (31.9% compared to 27.9%, a difference of 14.2%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.20, a difference of 0.50%), family households (63.2% compared to 62.8%, a difference of 0.60%), and currently married (45.2% compared to 46.4%, a difference of 2.8%).
Family Structure Metric | Kenyan | Mongolian |
Family Households | Tragic 63.2% | Tragic 62.8% |
Family Households with Children | Exceptional 28.4% | Good 27.6% |
Married-couple Households | Tragic 44.7% | Average 46.3% |
Average Family Size | Fair 3.21 | Poor 3.20 |
Single Father Households | Fair 2.4% | Exceptional 2.1% |
Single Mother Households | Tragic 7.0% | Exceptional 5.8% |
Currently Married | Tragic 45.2% | Fair 46.4% |
Divorced or Separated | Fair 12.2% | Exceptional 11.1% |
Births to Unmarried Women | Average 31.9% | Exceptional 27.9% |
Kenyan vs Mongolian Vehicle Availability
When considering vehicle availability, the most significant differences between Kenyan and Mongolian communities in the United States are seen in no vehicles in household (9.7% compared to 13.1%, a difference of 35.3%), 3 or more vehicles in household (19.1% compared to 18.1%, a difference of 5.4%), and 2 or more vehicles in household (55.5% compared to 52.8%, a difference of 5.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.0%, a difference of 3.9%), 4 or more vehicles in household (6.1% compared to 5.8%, a difference of 4.9%), and 2 or more vehicles in household (55.5% compared to 52.8%, a difference of 5.1%).
Vehicle Availability Metric | Kenyan | Mongolian |
No Vehicles Available | Excellent 9.7% | Tragic 13.1% |
1+ Vehicles Available | Excellent 90.4% | Tragic 87.0% |
2+ Vehicles Available | Average 55.5% | Tragic 52.8% |
3+ Vehicles Available | Fair 19.1% | Tragic 18.1% |
4+ Vehicles Available | Poor 6.1% | Tragic 5.8% |
Kenyan vs Mongolian Education Level
When considering education level, the most significant differences between Kenyan and Mongolian communities in the United States are seen in doctorate degree (1.9% compared to 2.8%, a difference of 41.6%), professional degree (4.4% compared to 6.1%, a difference of 39.2%), and master's degree (15.3% compared to 19.4%, a difference of 26.5%). Conversely, both communities are more comparable in terms of 9th grade (95.1% compared to 95.0%, a difference of 0.060%), 10th grade (94.0% compared to 94.0%, a difference of 0.060%), and nursery school (98.0% compared to 97.9%, a difference of 0.070%).
Education Level Metric | Kenyan | Mongolian |
No Schooling Completed | Good 2.0% | Average 2.1% |
Nursery School | Average 98.0% | Fair 97.9% |
Kindergarten | Average 98.0% | Fair 97.9% |
1st Grade | Average 97.9% | Fair 97.9% |
2nd Grade | Average 97.9% | Fair 97.8% |
3rd Grade | Average 97.8% | Fair 97.7% |
4th Grade | Average 97.5% | Fair 97.5% |
5th Grade | Average 97.4% | Fair 97.3% |
6th Grade | Good 97.1% | Average 97.0% |
7th Grade | Good 96.2% | Average 96.0% |
8th Grade | Good 95.9% | Average 95.8% |
9th Grade | Good 95.1% | Good 95.0% |
10th Grade | Good 94.0% | Good 94.0% |
11th Grade | Excellent 92.9% | Excellent 93.0% |
12th Grade, No Diploma | Good 91.5% | Excellent 91.8% |
High School Diploma | Excellent 89.6% | Exceptional 89.9% |
GED/Equivalency | Good 86.3% | Exceptional 87.0% |
College, Under 1 year | Excellent 66.5% | Exceptional 69.9% |
College, 1 year or more | Good 60.5% | Exceptional 64.8% |
Associate's Degree | Good 47.1% | Exceptional 53.0% |
Bachelor's Degree | Good 38.7% | Exceptional 45.4% |
Master's Degree | Good 15.3% | Exceptional 19.4% |
Professional Degree | Average 4.4% | Exceptional 6.1% |
Doctorate Degree | Excellent 1.9% | Exceptional 2.8% |
Kenyan vs Mongolian Disability
When considering disability, the most significant differences between Kenyan and Mongolian communities in the United States are seen in disability age 35 to 64 (11.4% compared to 10.1%, a difference of 12.3%), disability age 5 to 17 (5.8% compared to 5.3%, a difference of 9.2%), and disability age 65 to 74 (23.7% compared to 21.8%, a difference of 9.1%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.81%), disability age over 75 (47.2% compared to 46.3%, a difference of 1.9%), and cognitive disability (18.1% compared to 17.7%, a difference of 2.2%).
Disability Metric | Kenyan | Mongolian |
Disability | Excellent 11.5% | Exceptional 10.8% |
Males | Good 11.0% | Exceptional 10.3% |
Females | Exceptional 11.9% | Exceptional 11.2% |
Age | Under 5 years | Good 1.2% | Exceptional 1.1% |
Age | 5 to 17 years | Poor 5.8% | Exceptional 5.3% |
Age | 18 to 34 years | Poor 6.8% | Exceptional 6.2% |
Age | 35 to 64 years | Fair 11.4% | Exceptional 10.1% |
Age | 65 to 74 years | Fair 23.7% | Exceptional 21.8% |
Age | Over 75 years | Average 47.2% | Exceptional 46.3% |
Vision | Exceptional 2.1% | Exceptional 1.9% |
Hearing | Excellent 2.8% | Exceptional 2.7% |
Cognitive | Tragic 18.1% | Tragic 17.7% |
Ambulatory | Exceptional 5.8% | Exceptional 5.5% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |