Kenyan vs Zimbabwean Community Comparison
COMPARE
Kenyan
Zimbabwean
Social Comparison
Social Comparison
Kenyans
Zimbabweans
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
Zimbabwean Integration in Kenyan Communities
The statistical analysis conducted on geographies consisting of 54,102,474 people shows a substantial positive correlation between the proportion of Zimbabweans within Kenyan communities in the United States with a correlation coefficient (R) of 0.514. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.161% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 160.8 Zimbabweans.
Kenyan vs Zimbabwean Income
When considering income, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in householder income over 65 years ($60,514 compared to $65,854, a difference of 8.8%), median family income ($101,417 compared to $110,011, a difference of 8.5%), and householder income ages 45 - 64 years ($98,970 compared to $106,849, a difference of 8.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $51,259, a difference of 0.88%), median female earnings ($39,860 compared to $40,798, a difference of 2.4%), and median earnings ($46,462 compared to $48,229, a difference of 3.8%).
Income Metric | Kenyan | Zimbabwean |
Per Capita Income | Fair $42,808 | Exceptional $45,804 |
Median Family Income | Fair $101,417 | Exceptional $110,011 |
Median Household Income | Fair $84,085 | Exceptional $90,618 |
Median Earnings | Average $46,462 | Exceptional $48,229 |
Median Male Earnings | Fair $53,647 | Excellent $56,302 |
Median Female Earnings | Average $39,860 | Exceptional $40,798 |
Householder Age | Under 25 years | Tragic $50,815 | Tragic $51,259 |
Householder Age | 25 - 44 years | Poor $91,684 | Exceptional $98,586 |
Householder Age | 45 - 64 years | Fair $98,970 | Exceptional $106,849 |
Householder Age | Over 65 years | Fair $60,514 | Exceptional $65,854 |
Wage/Income Gap | Exceptional 24.5% | Fair 26.3% |
Kenyan vs Zimbabwean Poverty
When considering poverty, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in receiving food stamps (11.6% compared to 9.5%, a difference of 22.0%), married-couple family poverty (4.8% compared to 4.1%, a difference of 17.2%), and child poverty among girls under 16 (16.8% compared to 14.4%, a difference of 17.0%). 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 1.4%), single mother poverty (28.4% compared to 27.9%, a difference of 1.5%), and single father poverty (15.3% compared to 15.6%, a difference of 1.8%).
Poverty Metric | Kenyan | Zimbabwean |
Poverty | Fair 12.5% | Exceptional 11.3% |
Families | Average 8.9% | Exceptional 7.8% |
Males | Fair 11.3% | Exceptional 10.2% |
Females | Average 13.5% | Exceptional 12.3% |
Females 18 to 24 years | Average 20.2% | Fair 20.4% |
Females 25 to 34 years | Average 13.5% | Exceptional 11.7% |
Children Under 5 years | Fair 17.5% | Exceptional 15.2% |
Children Under 16 years | Fair 16.5% | Exceptional 14.2% |
Boys Under 16 years | Average 16.6% | Exceptional 14.3% |
Girls Under 16 years | Fair 16.8% | Exceptional 14.4% |
Single Males | Exceptional 12.4% | Poor 13.1% |
Single Females | Good 20.8% | Exceptional 19.5% |
Single Fathers | Exceptional 15.3% | Exceptional 15.6% |
Single Mothers | Exceptional 28.4% | Exceptional 27.9% |
Married Couples | Exceptional 4.8% | Exceptional 4.1% |
Seniors Over 65 years | Exceptional 10.3% | Exceptional 9.6% |
Seniors Over 75 years | Exceptional 11.5% | Exceptional 11.2% |
Receiving Food Stamps | Good 11.6% | Exceptional 9.5% |
Kenyan vs Zimbabwean Unemployment
When considering unemployment, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 5.9%, a difference of 23.2%), unemployment among seniors over 65 years (4.7% compared to 5.6%, a difference of 17.8%), and unemployment among youth under 25 years (11.2% compared to 10.2%, a difference of 10.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 8.6%, a difference of 1.7%), unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 2.0%), and unemployment among ages 60 to 64 years (4.6% compared to 4.5%, a difference of 2.1%).
Unemployment Metric | Kenyan | Zimbabwean |
Unemployment | Excellent 5.1% | Exceptional 4.8% |
Males | Good 5.2% | Exceptional 4.8% |
Females | Exceptional 5.0% | Exceptional 4.8% |
Youth < 25 | Exceptional 11.2% | Exceptional 10.2% |
Age | 16 to 19 years | Exceptional 16.1% | Exceptional 15.4% |
Age | 20 to 24 years | Exceptional 9.9% | Exceptional 9.2% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.4% |
Age | 30 to 34 years | Exceptional 5.2% | Exceptional 4.8% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.4% | Exceptional 4.2% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.5% |
Age | 65 to 74 years | Exceptional 4.8% | Tragic 5.9% |
Seniors > 65 | Exceptional 4.7% | Tragic 5.6% |
Seniors > 75 | Tragic 9.1% | Average 8.7% |
Women w/ Children < 6 | Good 7.6% | Exceptional 7.3% |
Women w/ Children 6 to 17 | Excellent 8.8% | Exceptional 8.6% |
Women w/ Children < 18 | Excellent 5.3% | Exceptional 5.1% |
Kenyan vs Zimbabwean Labor Participation
When considering labor participation, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 38.7%, a difference of 3.7%), in labor force | age 20-24 (77.0% compared to 75.6%, a difference of 1.8%), and in labor force | age 25-29 (85.4% compared to 84.5%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.8% compared to 81.0%, a difference of 0.17%), in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.25%), and in labor force | age 45-54 (83.7% compared to 84.0%, a difference of 0.37%).
Labor Participation Metric | Kenyan | Zimbabwean |
In Labor Force | Age > 16 | Exceptional 67.6% | Exceptional 67.3% |
In Labor Force | Age 20-64 | Exceptional 80.8% | Exceptional 81.0% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Exceptional 38.7% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Excellent 75.6% |
In Labor Force | Age 25-29 | Exceptional 85.4% | Fair 84.5% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.6% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Exceptional 86.1% |
In Labor Force | Age 45-54 | Exceptional 83.7% | Exceptional 84.0% |
Kenyan vs Zimbabwean Family Structure
When considering family structure, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in single mother households (7.0% compared to 6.1%, a difference of 14.8%), births to unmarried women (31.9% compared to 28.7%, a difference of 11.1%), and single father households (2.4% compared to 2.2%, a difference of 7.6%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.20, a difference of 0.45%), family households (63.2% compared to 64.1%, a difference of 1.4%), and family households with children (28.4% compared to 27.9%, a difference of 1.7%).
Family Structure Metric | Kenyan | Zimbabwean |
Family Households | Tragic 63.2% | Fair 64.1% |
Family Households with Children | Exceptional 28.4% | Exceptional 27.9% |
Married-couple Households | Tragic 44.7% | Excellent 47.4% |
Average Family Size | Fair 3.21 | Poor 3.20 |
Single Father Households | Fair 2.4% | Exceptional 2.2% |
Single Mother Households | Tragic 7.0% | Excellent 6.1% |
Currently Married | Tragic 45.2% | Good 47.0% |
Divorced or Separated | Fair 12.2% | Exceptional 11.6% |
Births to Unmarried Women | Average 31.9% | Exceptional 28.7% |
Kenyan vs Zimbabwean Vehicle Availability
When considering vehicle availability, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in no vehicles in household (9.7% compared to 9.0%, a difference of 7.3%), 3 or more vehicles in household (19.1% compared to 20.3%, a difference of 6.1%), and 4 or more vehicles in household (6.1% compared to 6.4%, a difference of 5.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.0%, a difference of 0.72%), 2 or more vehicles in household (55.5% compared to 57.2%, a difference of 3.1%), and 4 or more vehicles in household (6.1% compared to 6.4%, a difference of 5.8%).
Vehicle Availability Metric | Kenyan | Zimbabwean |
No Vehicles Available | Excellent 9.7% | Exceptional 9.0% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 91.0% |
2+ Vehicles Available | Average 55.5% | Exceptional 57.2% |
3+ Vehicles Available | Fair 19.1% | Excellent 20.3% |
4+ Vehicles Available | Poor 6.1% | Good 6.4% |
Kenyan vs Zimbabwean Education Level
When considering education level, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in no schooling completed (2.0% compared to 1.7%, a difference of 18.4%), professional degree (4.4% compared to 5.2%, a difference of 18.0%), and doctorate degree (1.9% compared to 2.3%, a difference of 16.6%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.3%, a difference of 0.33%), kindergarten (98.0% compared to 98.3%, a difference of 0.33%), and 1st grade (97.9% compared to 98.3%, a difference of 0.34%).
Education Level Metric | Kenyan | Zimbabwean |
No Schooling Completed | Good 2.0% | Exceptional 1.7% |
Nursery School | Average 98.0% | Exceptional 98.3% |
Kindergarten | Average 98.0% | Exceptional 98.3% |
1st Grade | Average 97.9% | Exceptional 98.3% |
2nd Grade | Average 97.9% | Exceptional 98.2% |
3rd Grade | Average 97.8% | Exceptional 98.1% |
4th Grade | Average 97.5% | Exceptional 97.9% |
5th Grade | Average 97.4% | Exceptional 97.8% |
6th Grade | Good 97.1% | Exceptional 97.6% |
7th Grade | Good 96.2% | Exceptional 96.8% |
8th Grade | Good 95.9% | Exceptional 96.5% |
9th Grade | Good 95.1% | Exceptional 95.9% |
10th Grade | Good 94.0% | Exceptional 94.9% |
11th Grade | Excellent 92.9% | Exceptional 93.9% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.7% |
High School Diploma | Excellent 89.6% | Exceptional 91.1% |
GED/Equivalency | Good 86.3% | Exceptional 88.0% |
College, Under 1 year | Excellent 66.5% | Exceptional 69.9% |
College, 1 year or more | Good 60.5% | Exceptional 64.2% |
Associate's Degree | Good 47.1% | Exceptional 51.3% |
Bachelor's Degree | Good 38.7% | Exceptional 43.3% |
Master's Degree | Good 15.3% | Exceptional 17.7% |
Professional Degree | Average 4.4% | Exceptional 5.2% |
Doctorate Degree | Excellent 1.9% | Exceptional 2.3% |
Kenyan vs Zimbabwean Disability
When considering disability, the most significant differences between Kenyan and Zimbabwean communities in the United States are seen in disability age 65 to 74 (23.7% compared to 21.5%, a difference of 10.2%), disability age 35 to 64 (11.4% compared to 10.4%, a difference of 8.8%), and ambulatory disability (5.8% compared to 5.4%, a difference of 7.2%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 0.020%), disability age over 75 (47.2% compared to 48.1%, a difference of 1.7%), and disability age under 5 (1.2% compared to 1.2%, a difference of 2.7%).
Disability Metric | Kenyan | Zimbabwean |
Disability | Excellent 11.5% | Exceptional 10.9% |
Males | Good 11.0% | Exceptional 10.6% |
Females | Exceptional 11.9% | Exceptional 11.3% |
Age | Under 5 years | Good 1.2% | Exceptional 1.2% |
Age | 5 to 17 years | Poor 5.8% | Good 5.5% |
Age | 18 to 34 years | Poor 6.8% | Good 6.5% |
Age | 35 to 64 years | Fair 11.4% | Exceptional 10.4% |
Age | 65 to 74 years | Fair 23.7% | Exceptional 21.5% |
Age | Over 75 years | Average 47.2% | Tragic 48.1% |
Vision | Exceptional 2.1% | Exceptional 2.0% |
Hearing | Excellent 2.8% | Excellent 2.8% |
Cognitive | Tragic 18.1% | Tragic 17.6% |
Ambulatory | Exceptional 5.8% | Exceptional 5.4% |
Self-Care | Exceptional 2.3% | Exceptional 2.2% |