Immigrants from Bangladesh vs Kenyan Community Comparison
COMPARE
Immigrants from Bangladesh
Kenyan
Social Comparison
Social Comparison
Immigrants from Bangladesh
Kenyans
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
Kenyan Integration in Immigrants from Bangladesh Communities
The statistical analysis conducted on geographies consisting of 112,551,615 people shows a poor positive correlation between the proportion of Kenyans within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of 0.149. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.003% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to an increase of 3.4 Kenyans.
Immigrants from Bangladesh vs Kenyan Income
When considering income, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in wage/income gap (20.9% compared to 24.5%, a difference of 16.8%), householder income over 65 years ($55,394 compared to $60,514, a difference of 9.2%), and householder income under 25 years ($54,714 compared to $50,815, a difference of 7.7%). Conversely, both communities are more comparable in terms of median female earnings ($39,910 compared to $39,860, a difference of 0.12%), householder income ages 25 - 44 years ($90,448 compared to $91,684, a difference of 1.4%), and median earnings ($45,532 compared to $46,462, a difference of 2.0%).
Income Metric | Immigrants from Bangladesh | Kenyan |
Per Capita Income | Poor $41,709 | Fair $42,808 |
Median Family Income | Tragic $94,665 | Fair $101,417 |
Median Household Income | Tragic $80,722 | Fair $84,085 |
Median Earnings | Fair $45,532 | Average $46,462 |
Median Male Earnings | Tragic $51,642 | Fair $53,647 |
Median Female Earnings | Good $39,910 | Average $39,860 |
Householder Age | Under 25 years | Exceptional $54,714 | Tragic $50,815 |
Householder Age | 25 - 44 years | Tragic $90,448 | Poor $91,684 |
Householder Age | 45 - 64 years | Tragic $92,208 | Fair $98,970 |
Householder Age | Over 65 years | Tragic $55,394 | Fair $60,514 |
Wage/Income Gap | Exceptional 20.9% | Exceptional 24.5% |
Immigrants from Bangladesh vs Kenyan Poverty
When considering poverty, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in married-couple family poverty (7.5% compared to 4.8%, a difference of 56.5%), receiving food stamps (15.9% compared to 11.6%, a difference of 37.5%), and seniors poverty over the age of 75 (15.8% compared to 11.5%, a difference of 37.2%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 12.4%, a difference of 5.4%), single father poverty (16.3% compared to 15.3%, a difference of 6.1%), and single female poverty (22.3% compared to 20.8%, a difference of 7.5%).
Poverty Metric | Immigrants from Bangladesh | Kenyan |
Poverty | Tragic 15.3% | Fair 12.5% |
Families | Tragic 11.7% | Average 8.9% |
Males | Tragic 14.1% | Fair 11.3% |
Females | Tragic 16.4% | Average 13.5% |
Females 18 to 24 years | Tragic 21.8% | Average 20.2% |
Females 25 to 34 years | Tragic 14.8% | Average 13.5% |
Children Under 5 years | Tragic 20.1% | Fair 17.5% |
Children Under 16 years | Tragic 19.8% | Fair 16.5% |
Boys Under 16 years | Tragic 19.9% | Average 16.6% |
Girls Under 16 years | Tragic 19.9% | Fair 16.8% |
Single Males | Fair 13.0% | Exceptional 12.4% |
Single Females | Tragic 22.3% | Good 20.8% |
Single Fathers | Average 16.3% | Exceptional 15.3% |
Single Mothers | Tragic 31.1% | Exceptional 28.4% |
Married Couples | Tragic 7.5% | Exceptional 4.8% |
Seniors Over 65 years | Tragic 14.1% | Exceptional 10.3% |
Seniors Over 75 years | Tragic 15.8% | Exceptional 11.5% |
Receiving Food Stamps | Tragic 15.9% | Good 11.6% |
Immigrants from Bangladesh vs Kenyan Unemployment
When considering unemployment, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in unemployment among ages 16 to 19 years (21.5% compared to 16.1%, a difference of 33.8%), unemployment among ages 55 to 59 years (5.9% compared to 4.4%, a difference of 32.6%), and unemployment among ages 60 to 64 years (6.0% compared to 4.6%, a difference of 30.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.1% compared to 9.1%, a difference of 0.11%), unemployment among women with children ages 6 to 17 years (8.8% compared to 8.8%, a difference of 0.49%), and unemployment among women with children under 6 years (8.8% compared to 7.6%, a difference of 16.5%).
Unemployment Metric | Immigrants from Bangladesh | Kenyan |
Unemployment | Tragic 6.5% | Excellent 5.1% |
Males | Tragic 6.6% | Good 5.2% |
Females | Tragic 6.5% | Exceptional 5.0% |
Youth < 25 | Tragic 14.2% | Exceptional 11.2% |
Age | 16 to 19 years | Tragic 21.5% | Exceptional 16.1% |
Age | 20 to 24 years | Tragic 12.6% | Exceptional 9.9% |
Age | 25 to 29 years | Tragic 7.5% | Exceptional 6.3% |
Age | 30 to 34 years | Tragic 6.4% | Exceptional 5.2% |
Age | 35 to 44 years | Tragic 5.3% | Exceptional 4.4% |
Age | 45 to 54 years | Tragic 5.4% | Exceptional 4.3% |
Age | 55 to 59 years | Tragic 5.9% | Exceptional 4.4% |
Age | 60 to 64 years | Tragic 6.0% | Exceptional 4.6% |
Age | 65 to 74 years | Tragic 5.9% | Exceptional 4.8% |
Seniors > 65 | Tragic 5.7% | Exceptional 4.7% |
Seniors > 75 | Tragic 9.1% | Tragic 9.1% |
Women w/ Children < 6 | Tragic 8.8% | Good 7.6% |
Women w/ Children 6 to 17 | Good 8.8% | Excellent 8.8% |
Women w/ Children < 18 | Tragic 6.4% | Excellent 5.3% |
Immigrants from Bangladesh vs Kenyan Labor Participation
When considering labor participation, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 40.1%, a difference of 33.6%), in labor force | age 20-24 (70.6% compared to 77.0%, a difference of 9.0%), and in labor force | age > 16 (64.5% compared to 67.6%, a difference of 4.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.6% compared to 85.4%, a difference of 2.2%), in labor force | age 35-44 (82.9% compared to 85.2%, a difference of 2.8%), and in labor force | age 25-29 (83.0% compared to 85.4%, a difference of 2.9%).
Labor Participation Metric | Immigrants from Bangladesh | Kenyan |
In Labor Force | Age > 16 | Tragic 64.5% | Exceptional 67.6% |
In Labor Force | Age 20-64 | Tragic 77.9% | Exceptional 80.8% |
In Labor Force | Age 16-19 | Tragic 30.0% | Exceptional 40.1% |
In Labor Force | Age 20-24 | Tragic 70.6% | Exceptional 77.0% |
In Labor Force | Age 25-29 | Tragic 83.0% | Exceptional 85.4% |
In Labor Force | Age 30-34 | Tragic 83.6% | Exceptional 85.4% |
In Labor Force | Age 35-44 | Tragic 82.9% | Exceptional 85.2% |
In Labor Force | Age 45-54 | Tragic 80.7% | Exceptional 83.7% |
Immigrants from Bangladesh vs Kenyan Family Structure
When considering family structure, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 14.9%), divorced or separated (11.0% compared to 12.2%, a difference of 11.2%), and average family size (3.36 compared to 3.21, a difference of 4.6%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 63.2%, a difference of 1.1%), single mother households (6.9% compared to 7.0%, a difference of 1.3%), and family households with children (27.6% compared to 28.4%, a difference of 3.0%).
Family Structure Metric | Immigrants from Bangladesh | Kenyan |
Family Households | Poor 63.9% | Tragic 63.2% |
Family Households with Children | Good 27.6% | Exceptional 28.4% |
Married-couple Households | Tragic 43.1% | Tragic 44.7% |
Average Family Size | Exceptional 3.36 | Fair 3.21 |
Single Father Households | Exceptional 2.1% | Fair 2.4% |
Single Mother Households | Tragic 6.9% | Tragic 7.0% |
Currently Married | Tragic 43.6% | Tragic 45.2% |
Divorced or Separated | Exceptional 11.0% | Fair 12.2% |
Births to Unmarried Women | Good 30.9% | Average 31.9% |
Immigrants from Bangladesh vs Kenyan Vehicle Availability
When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in no vehicles in household (25.8% compared to 9.7%, a difference of 165.4%), 4 or more vehicles in household (3.9% compared to 6.1%, a difference of 56.2%), and 3 or more vehicles in household (12.5% compared to 19.1%, a difference of 52.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 90.4%, a difference of 21.6%), 2 or more vehicles in household (38.8% compared to 55.5%, a difference of 43.2%), and 3 or more vehicles in household (12.5% compared to 19.1%, a difference of 52.5%).
Vehicle Availability Metric | Immigrants from Bangladesh | Kenyan |
No Vehicles Available | Tragic 25.8% | Excellent 9.7% |
1+ Vehicles Available | Tragic 74.3% | Excellent 90.4% |
2+ Vehicles Available | Tragic 38.8% | Average 55.5% |
3+ Vehicles Available | Tragic 12.5% | Fair 19.1% |
4+ Vehicles Available | Tragic 3.9% | Poor 6.1% |
Immigrants from Bangladesh vs Kenyan Education Level
When considering education level, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in no schooling completed (3.1% compared to 2.0%, a difference of 53.8%), college, under 1 year (61.3% compared to 66.5%, a difference of 8.5%), and college, 1 year or more (56.6% compared to 60.5%, a difference of 6.9%). Conversely, both communities are more comparable in terms of professional degree (4.4% compared to 4.4%, a difference of 0.87%), master's degree (15.5% compared to 15.3%, a difference of 0.92%), and nursery school (96.9% compared to 98.0%, a difference of 1.1%).
Education Level Metric | Immigrants from Bangladesh | Kenyan |
No Schooling Completed | Tragic 3.1% | Good 2.0% |
Nursery School | Tragic 96.9% | Average 98.0% |
Kindergarten | Tragic 96.8% | Average 98.0% |
1st Grade | Tragic 96.8% | Average 97.9% |
2nd Grade | Tragic 96.7% | Average 97.9% |
3rd Grade | Tragic 96.6% | Average 97.8% |
4th Grade | Tragic 96.2% | Average 97.5% |
5th Grade | Tragic 96.0% | Average 97.4% |
6th Grade | Tragic 95.4% | Good 97.1% |
7th Grade | Tragic 94.0% | Good 96.2% |
8th Grade | Tragic 93.6% | Good 95.9% |
9th Grade | Tragic 92.4% | Good 95.1% |
10th Grade | Tragic 91.0% | Good 94.0% |
11th Grade | Tragic 89.5% | Excellent 92.9% |
12th Grade, No Diploma | Tragic 88.0% | Good 91.5% |
High School Diploma | Tragic 85.5% | Excellent 89.6% |
GED/Equivalency | Tragic 81.9% | Good 86.3% |
College, Under 1 year | Tragic 61.3% | Excellent 66.5% |
College, 1 year or more | Tragic 56.6% | Good 60.5% |
Associate's Degree | Fair 45.2% | Good 47.1% |
Bachelor's Degree | Average 37.8% | Good 38.7% |
Master's Degree | Good 15.5% | Good 15.3% |
Professional Degree | Average 4.4% | Average 4.4% |
Doctorate Degree | Average 1.8% | Excellent 1.9% |
Immigrants from Bangladesh vs Kenyan Disability
When considering disability, the most significant differences between Immigrants from Bangladesh and Kenyan communities in the United States are seen in disability age under 5 (0.85% compared to 1.2%, a difference of 41.6%), disability age 18 to 34 (5.6% compared to 6.8%, a difference of 20.1%), and hearing disability (2.4% compared to 2.8%, a difference of 17.2%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.6% compared to 23.7%, a difference of 0.52%), female disability (11.8% compared to 11.9%, a difference of 0.93%), and cognitive disability (17.8% compared to 18.1%, a difference of 1.6%).
Disability Metric | Immigrants from Bangladesh | Kenyan |
Disability | Exceptional 11.0% | Excellent 11.5% |
Males | Exceptional 10.3% | Good 11.0% |
Females | Exceptional 11.8% | Exceptional 11.9% |
Age | Under 5 years | Exceptional 0.85% | Good 1.2% |
Age | 5 to 17 years | Exceptional 5.2% | Poor 5.8% |
Age | 18 to 34 years | Exceptional 5.6% | Poor 6.8% |
Age | 35 to 64 years | Excellent 10.9% | Fair 11.4% |
Age | 65 to 74 years | Fair 23.6% | Fair 23.7% |
Age | Over 75 years | Tragic 48.0% | Average 47.2% |
Vision | Good 2.1% | Exceptional 2.1% |
Hearing | Exceptional 2.4% | Excellent 2.8% |
Cognitive | Tragic 17.8% | Tragic 18.1% |
Ambulatory | Fair 6.2% | Exceptional 5.8% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |