Bangladeshi vs Kenyan Community Comparison
COMPARE
Bangladeshi
Kenyan
Social Comparison
Social Comparison
Bangladeshis
Kenyans
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
Kenyan Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 85,818,709 people shows a mild positive correlation between the proportion of Kenyans within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.354. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.012% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 11.6 Kenyans.
Bangladeshi vs Kenyan Income
When considering income, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in per capita income ($35,897 compared to $42,808, a difference of 19.3%), median family income ($88,358 compared to $101,417, a difference of 14.8%), and median male earnings ($46,744 compared to $53,647, a difference of 14.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $50,815, a difference of 6.8%), wage/income gap (22.2% compared to 24.5%, a difference of 10.3%), and householder income over 65 years ($54,719 compared to $60,514, a difference of 10.6%).
Income Metric | Bangladeshi | Kenyan |
Per Capita Income | Tragic $35,897 | Fair $42,808 |
Median Family Income | Tragic $88,358 | Fair $101,417 |
Median Household Income | Tragic $74,112 | Fair $84,085 |
Median Earnings | Tragic $41,263 | Average $46,462 |
Median Male Earnings | Tragic $46,744 | Fair $53,647 |
Median Female Earnings | Tragic $35,960 | Average $39,860 |
Householder Age | Under 25 years | Tragic $47,589 | Tragic $50,815 |
Householder Age | 25 - 44 years | Tragic $81,363 | Poor $91,684 |
Householder Age | 45 - 64 years | Tragic $86,402 | Fair $98,970 |
Householder Age | Over 65 years | Tragic $54,719 | Fair $60,514 |
Wage/Income Gap | Exceptional 22.2% | Exceptional 24.5% |
Bangladeshi vs Kenyan Poverty
When considering poverty, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in receiving food stamps (15.0% compared to 11.6%, a difference of 30.0%), married-couple family poverty (6.0% compared to 4.8%, a difference of 25.6%), and family poverty (10.9% compared to 8.9%, a difference of 22.3%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.3%, a difference of 0.84%), seniors poverty over the age of 75 (12.0% compared to 11.5%, a difference of 4.0%), and single male poverty (13.3% compared to 12.4%, a difference of 8.0%).
Poverty Metric | Bangladeshi | Kenyan |
Poverty | Tragic 14.8% | Fair 12.5% |
Families | Tragic 10.9% | Average 8.9% |
Males | Tragic 13.6% | Fair 11.3% |
Females | Tragic 16.0% | Average 13.5% |
Females 18 to 24 years | Tragic 22.5% | Average 20.2% |
Females 25 to 34 years | Tragic 15.9% | Average 13.5% |
Children Under 5 years | Tragic 20.6% | Fair 17.5% |
Children Under 16 years | Tragic 19.9% | Fair 16.5% |
Boys Under 16 years | Tragic 20.0% | Average 16.6% |
Girls Under 16 years | Tragic 20.0% | Fair 16.8% |
Single Males | Tragic 13.3% | Exceptional 12.4% |
Single Females | Tragic 24.2% | Good 20.8% |
Single Fathers | Exceptional 15.2% | Exceptional 15.3% |
Single Mothers | Tragic 31.7% | Exceptional 28.4% |
Married Couples | Tragic 6.0% | Exceptional 4.8% |
Seniors Over 65 years | Fair 11.2% | Exceptional 10.3% |
Seniors Over 75 years | Good 12.0% | Exceptional 11.5% |
Receiving Food Stamps | Tragic 15.0% | Good 11.6% |
Bangladeshi vs Kenyan Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.8%, a difference of 19.5%), unemployment among ages 65 to 74 years (5.3% compared to 4.8%, a difference of 10.7%), and unemployment among seniors over 65 years (5.2% compared to 4.7%, a difference of 9.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.16%), unemployment among ages 20 to 24 years (10.0% compared to 9.9%, a difference of 0.84%), and unemployment among women with children under 6 years (7.5% compared to 7.6%, a difference of 0.97%).
Unemployment Metric | Bangladeshi | Kenyan |
Unemployment | Poor 5.4% | Excellent 5.1% |
Males | Tragic 5.7% | Good 5.2% |
Females | Good 5.2% | Exceptional 5.0% |
Youth < 25 | Average 11.6% | Exceptional 11.2% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 16.1% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 9.9% |
Age | 25 to 29 years | Average 6.6% | Exceptional 6.3% |
Age | 30 to 34 years | Good 5.3% | Exceptional 5.2% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.4% |
Age | 45 to 54 years | Average 4.5% | Exceptional 4.3% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.4% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.6% |
Age | 65 to 74 years | Good 5.3% | Exceptional 4.8% |
Seniors > 65 | Fair 5.2% | Exceptional 4.7% |
Seniors > 75 | Tragic 9.6% | Tragic 9.1% |
Women w/ Children < 6 | Good 7.5% | Good 7.6% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Excellent 8.8% |
Women w/ Children < 18 | Good 5.3% | Excellent 5.3% |
Bangladeshi vs Kenyan Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.1%, a difference of 5.8%), in labor force | age 45-54 (81.3% compared to 83.7%, a difference of 2.9%), and in labor force | age > 16 (65.9% compared to 67.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.4%, a difference of 0.34%), in labor force | age 30-34 (84.3% compared to 85.4%, a difference of 1.3%), and in labor force | age 35-44 (84.1% compared to 85.2%, a difference of 1.3%).
Labor Participation Metric | Bangladeshi | Kenyan |
In Labor Force | Age > 16 | Exceptional 65.9% | Exceptional 67.6% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 80.8% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 40.1% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 77.0% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Exceptional 85.4% |
In Labor Force | Age 30-34 | Tragic 84.3% | Exceptional 85.4% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 83.7% |
Bangladeshi vs Kenyan Family Structure
When considering family structure, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 29.1%), single mother households (8.1% compared to 7.0%, a difference of 16.9%), and births to unmarried women (34.4% compared to 31.9%, a difference of 7.9%). Conversely, both communities are more comparable in terms of divorced or separated (12.3% compared to 12.2%, a difference of 0.74%), family households (64.3% compared to 63.2%, a difference of 1.7%), and married-couple households (43.5% compared to 44.7%, a difference of 2.6%).
Family Structure Metric | Bangladeshi | Kenyan |
Family Households | Average 64.3% | Tragic 63.2% |
Family Households with Children | Exceptional 30.1% | Exceptional 28.4% |
Married-couple Households | Tragic 43.5% | Tragic 44.7% |
Average Family Size | Exceptional 3.37 | Fair 3.21 |
Single Father Households | Tragic 3.1% | Fair 2.4% |
Single Mother Households | Tragic 8.1% | Tragic 7.0% |
Currently Married | Tragic 43.7% | Tragic 45.2% |
Divorced or Separated | Poor 12.3% | Fair 12.2% |
Births to Unmarried Women | Tragic 34.4% | Average 31.9% |
Bangladeshi vs Kenyan Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.1%, a difference of 24.0%), 3 or more vehicles in household (21.9% compared to 19.1%, a difference of 14.5%), and no vehicles in household (8.7% compared to 9.7%, a difference of 12.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), 2 or more vehicles in household (58.4% compared to 55.5%, a difference of 5.2%), and no vehicles in household (8.7% compared to 9.7%, a difference of 12.0%).
Vehicle Availability Metric | Bangladeshi | Kenyan |
No Vehicles Available | Exceptional 8.7% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 91.4% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 58.4% | Average 55.5% |
3+ Vehicles Available | Exceptional 21.9% | Fair 19.1% |
4+ Vehicles Available | Exceptional 7.6% | Poor 6.1% |
Bangladeshi vs Kenyan Education Level
When considering education level, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in no schooling completed (3.5% compared to 2.0%, a difference of 73.1%), doctorate degree (1.2% compared to 1.9%, a difference of 60.9%), and master's degree (10.5% compared to 15.3%, a difference of 46.3%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.0%, a difference of 1.4%), kindergarten (96.6% compared to 98.0%, a difference of 1.4%), and 1st grade (96.5% compared to 97.9%, a difference of 1.4%).
Education Level Metric | Bangladeshi | Kenyan |
No Schooling Completed | Tragic 3.5% | Good 2.0% |
Nursery School | Tragic 96.6% | Average 98.0% |
Kindergarten | Tragic 96.6% | Average 98.0% |
1st Grade | Tragic 96.5% | Average 97.9% |
2nd Grade | Tragic 96.5% | Average 97.9% |
3rd Grade | Tragic 96.3% | Average 97.8% |
4th Grade | Tragic 96.1% | Average 97.5% |
5th Grade | Tragic 95.9% | Average 97.4% |
6th Grade | Tragic 95.7% | Good 97.1% |
7th Grade | Tragic 94.5% | Good 96.2% |
8th Grade | Tragic 94.3% | Good 95.9% |
9th Grade | Tragic 93.4% | Good 95.1% |
10th Grade | Tragic 92.2% | Good 94.0% |
11th Grade | Tragic 90.9% | Excellent 92.9% |
12th Grade, No Diploma | Tragic 89.3% | Good 91.5% |
High School Diploma | Tragic 86.9% | Excellent 89.6% |
GED/Equivalency | Tragic 83.1% | Good 86.3% |
College, Under 1 year | Tragic 61.4% | Excellent 66.5% |
College, 1 year or more | Tragic 54.5% | Good 60.5% |
Associate's Degree | Tragic 40.0% | Good 47.1% |
Bachelor's Degree | Tragic 30.2% | Good 38.7% |
Master's Degree | Tragic 10.5% | Good 15.3% |
Professional Degree | Tragic 3.1% | Average 4.4% |
Doctorate Degree | Tragic 1.2% | Excellent 1.9% |
Bangladeshi vs Kenyan Disability
When considering disability, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in self-care disability (2.8% compared to 2.3%, a difference of 22.5%), disability age 35 to 64 (13.6% compared to 11.4%, a difference of 19.9%), and disability age 65 to 74 (26.8% compared to 23.7%, a difference of 13.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.96%), cognitive disability (18.6% compared to 18.1%, a difference of 2.6%), and disability age over 75 (49.4% compared to 47.2%, a difference of 4.6%).
Disability Metric | Bangladeshi | Kenyan |
Disability | Tragic 12.6% | Excellent 11.5% |
Males | Tragic 12.0% | Good 11.0% |
Females | Tragic 13.1% | Exceptional 11.9% |
Age | Under 5 years | Poor 1.3% | Good 1.2% |
Age | 5 to 17 years | Tragic 5.8% | Poor 5.8% |
Age | 18 to 34 years | Tragic 7.4% | Poor 6.8% |
Age | 35 to 64 years | Tragic 13.6% | Fair 11.4% |
Age | 65 to 74 years | Tragic 26.8% | Fair 23.7% |
Age | Over 75 years | Tragic 49.4% | Average 47.2% |
Vision | Tragic 2.3% | Exceptional 2.1% |
Hearing | Tragic 3.2% | Excellent 2.8% |
Cognitive | Tragic 18.6% | Tragic 18.1% |
Ambulatory | Poor 6.3% | Exceptional 5.8% |
Self-Care | Tragic 2.8% | Exceptional 2.3% |