Immigrants from Yemen vs Immigrants from Bangladesh Community Comparison

The statistical analysis conducted on geographies consisting of 66,511,166 people shows a substantial positive correlation between the proportion of Immigrants from Bangladesh within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.534. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.471% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 470.7 Immigrants from Bangladesh.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in householder income under 25 years ($43,591 compared to $54,714, a difference of 25.5%), householder income ages 25 - 44 years ($73,043 compared to $90,448, a difference of 23.8%), and median household income ($65,194 compared to $80,722, a difference of 23.8%). Conversely, both communities are more comparable in terms of wage/income gap (21.1% compared to 20.9%, a difference of 0.51%), median female earnings ($34,693 compared to $39,910, a difference of 15.0%), and median earnings ($39,540 compared to $45,532, a difference of 15.1%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (12.8% compared to 7.5%, a difference of 71.0%), family poverty (17.5% compared to 11.7%, a difference of 49.5%), and child poverty among girls under 16 (29.5% compared to 19.9%, a difference of 48.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (16.5% compared to 15.8%, a difference of 4.4%), seniors poverty over the age of 65 (15.9% compared to 14.1%, a difference of 12.9%), and single mother poverty (38.5% compared to 31.1%, a difference of 23.7%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in unemployment among seniors over 75 years (16.5% compared to 9.1%, a difference of 81.7%), unemployment among women with children under 6 years (13.5% compared to 8.8%, a difference of 52.7%), and unemployment among women with children ages 6 to 17 years (12.7% compared to 8.8%, a difference of 43.9%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (8.0% compared to 7.5%, a difference of 5.9%), unemployment among ages 16 to 19 years (20.0% compared to 21.5%, a difference of 7.2%), and unemployment among youth under 25 years (15.6% compared to 14.2%, a difference of 9.7%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 35-44 (76.3% compared to 82.9%, a difference of 8.7%), in labor force | age 45-54 (74.4% compared to 80.7%, a difference of 8.5%), and in labor force | age > 16 (59.6% compared to 64.5%, a difference of 8.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (68.9% compared to 70.6%, a difference of 2.5%), in labor force | age 16-19 (31.5% compared to 30.0%, a difference of 4.9%), and in labor force | age 25-29 (78.2% compared to 83.0%, a difference of 6.1%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in single mother households (7.4% compared to 6.9%, a difference of 7.6%), average family size (3.60 compared to 3.36, a difference of 6.9%), and family households with children (29.4% compared to 27.6%, a difference of 6.8%). Conversely, both communities are more comparable in terms of family households (63.0% compared to 63.9%, a difference of 1.4%), births to unmarried women (31.7% compared to 30.9%, a difference of 2.5%), and married-couple households (42.0% compared to 43.1%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (19.5% compared to 25.8%, a difference of 32.2%), 4 or more vehicles in household (4.5% compared to 3.9%, a difference of 14.3%), and 3 or more vehicles in household (14.2% compared to 12.5%, a difference of 13.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 74.3%, a difference of 8.4%), 2 or more vehicles in household (42.8% compared to 38.8%, a difference of 10.5%), and 3 or more vehicles in household (14.2% compared to 12.5%, a difference of 13.8%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in master's degree (11.6% compared to 15.5%, a difference of 33.9%), no schooling completed (4.1% compared to 3.1%, a difference of 31.2%), and professional degree (3.4% compared to 4.4%, a difference of 30.5%). Conversely, both communities are more comparable in terms of kindergarten (95.9% compared to 96.8%, a difference of 1.0%), 2nd grade (95.7% compared to 96.7%, a difference of 1.0%), and 1st grade (95.8% compared to 96.8%, a difference of 1.0%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Bangladesh communities in the United States are seen in disability age 35 to 64 (14.0% compared to 10.9%, a difference of 29.1%), disability age 18 to 34 (7.0% compared to 5.6%, a difference of 23.4%), and vision disability (2.6% compared to 2.1%, a difference of 22.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.3% compared to 5.2%, a difference of 2.9%), cognitive disability (18.8% compared to 17.8%, a difference of 5.4%), and disability age under 5 (0.91% compared to 0.85%, a difference of 6.4%).