Immigrants from Bangladesh vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 136,180,491 people shows no correlation between the proportion of Immigrants from Kenya within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.037. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.001% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 0.5 Immigrants from Kenya.

When considering income, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in wage/income gap (20.9% compared to 24.4%, a difference of 16.4%), householder income under 25 years ($54,714 compared to $49,633, a difference of 10.2%), and householder income over 65 years ($55,394 compared to $59,710, a difference of 7.8%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($90,448 compared to $90,767, a difference of 0.35%), median female earnings ($39,910 compared to $39,535, a difference of 0.95%), and median earnings ($45,532 compared to $46,214, a difference of 1.5%).

When considering poverty, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in married-couple family poverty (7.5% compared to 4.9%, a difference of 53.3%), receiving food stamps (15.9% compared to 11.8%, a difference of 34.8%), and seniors poverty over the age of 65 (14.1% compared to 10.5%, a difference of 33.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.8% compared to 21.0%, a difference of 3.7%), single female poverty (22.3% compared to 21.4%, a difference of 4.0%), and single male poverty (13.0% compared to 12.5%, a difference of 4.5%).

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in unemployment among ages 16 to 19 years (21.5% compared to 16.2%, a difference of 32.5%), unemployment among ages 55 to 59 years (5.9% compared to 4.5%, a difference of 31.8%), and unemployment among ages 60 to 64 years (6.0% compared to 4.6%, a difference of 30.4%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 8.8%, a difference of 0.54%), unemployment among seniors over 75 years (9.1% compared to 8.8%, a difference of 2.7%), and unemployment among ages 65 to 74 years (5.9% compared to 5.1%, a difference of 15.1%).

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 40.5%, a difference of 34.8%), 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 4.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.6% compared to 85.5%, a difference of 2.3%), in labor force | age 35-44 (82.9% compared to 85.1%, a difference of 2.6%), and in labor force | age 25-29 (83.0% compared to 85.4%, a difference of 3.0%).

When considering family structure, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 15.7%), divorced or separated (11.0% compared to 12.2%, a difference of 11.5%), and average family size (3.36 compared to 3.21, a difference of 4.9%). Conversely, both communities are more comparable in terms of single mother households (6.9% compared to 7.0%, a difference of 1.5%), family households with children (27.6% compared to 28.1%, a difference of 2.1%), and married-couple households (43.1% compared to 44.1%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in no vehicles in household (25.8% compared to 9.6%, a difference of 167.1%), 4 or more vehicles in household (3.9% compared to 6.0%, a difference of 52.9%), and 3 or more vehicles in household (12.5% compared to 18.8%, a difference of 50.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 90.4%, a difference of 21.7%), 2 or more vehicles in household (38.8% compared to 55.1%, a difference of 42.2%), and 3 or more vehicles in household (12.5% compared to 18.8%, a difference of 50.0%).

When considering education level, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in no schooling completed (3.1% compared to 2.1%, a difference of 47.6%), 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 nursery school (96.9% compared to 97.9%, a difference of 1.1%), kindergarten (96.8% compared to 97.9%, a difference of 1.1%), and 1st grade (96.8% compared to 97.8%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Bangladesh and Immigrants from Kenya communities in the United States are seen in disability age under 5 (0.85% compared to 1.2%, a difference of 45.6%), disability age 18 to 34 (5.6% compared to 6.9%, a difference of 22.4%), and hearing disability (2.4% compared to 2.9%, a difference of 18.2%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.6% compared to 23.8%, a difference of 0.83%), disability age over 75 (48.0% compared to 47.6%, a difference of 1.0%), and female disability (11.8% compared to 12.0%, a difference of 2.2%).