Immigrants from Northern Africa vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 114,680,949 people shows a moderate positive correlation between the proportion of Bangladeshis within Immigrant from Northern Africa communities in the United States with a correlation coefficient (R) of 0.409. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.373% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Northern Africa corresponds to an increase of 373.4 Bangladeshis.

When considering income, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in per capita income ($46,531 compared to $35,897, a difference of 29.6%), median male earnings ($58,008 compared to $46,744, a difference of 24.1%), and median family income ($108,161 compared to $88,358, a difference of 22.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,185 compared to $47,589, a difference of 11.8%), wage/income gap (25.2% compared to 22.2%, a difference of 13.8%), and householder income over 65 years ($62,522 compared to $54,719, a difference of 14.3%).

When considering poverty, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in receiving food stamps (11.0% compared to 15.0%, a difference of 36.8%), female poverty among 25-34 year olds (12.6% compared to 15.9%, a difference of 26.3%), and child poverty under the age of 5 (16.4% compared to 20.6%, a difference of 26.1%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.2%, a difference of 1.1%), seniors poverty over the age of 65 (11.0% compared to 11.2%, a difference of 1.9%), and seniors poverty over the age of 75 (12.5% compared to 12.0%, a difference of 4.0%).

When considering unemployment, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.7% compared to 7.4%, a difference of 18.1%), unemployment among seniors over 75 years (8.2% compared to 9.6%, a difference of 17.6%), and male unemployment (5.2% compared to 5.7%, a difference of 8.6%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.5% compared to 11.6%, a difference of 0.31%), female unemployment (5.2% compared to 5.2%, a difference of 0.37%), and unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.51%).

When considering labor participation, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (35.9% compared to 42.5%, a difference of 18.2%), in labor force | age 20-24 (74.6% compared to 78.1%, a difference of 4.7%), and in labor force | age 45-54 (83.3% compared to 81.3%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 85.1%, a difference of 0.18%), in labor force | age 35-44 (84.8% compared to 84.1%, a difference of 0.87%), and in labor force | age 30-34 (85.2% compared to 84.3%, a difference of 0.98%).

When considering family structure, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 43.4%), single mother households (6.2% compared to 8.1%, a difference of 31.7%), and births to unmarried women (29.5% compared to 34.4%, a difference of 16.6%). Conversely, both communities are more comparable in terms of family households (63.5% compared to 64.3%, a difference of 1.1%), average family size (3.22 compared to 3.37, a difference of 4.5%), and married-couple households (46.0% compared to 43.5%, a difference of 5.6%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in no vehicles in household (12.6% compared to 8.7%, a difference of 45.5%), 4 or more vehicles in household (5.6% compared to 7.6%, a difference of 33.7%), and 3 or more vehicles in household (17.8% compared to 21.9%, a difference of 23.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.4% compared to 91.4%, a difference of 4.5%), 2 or more vehicles in household (52.3% compared to 58.4%, a difference of 11.7%), and 3 or more vehicles in household (17.8% compared to 21.9%, a difference of 23.0%).

When considering education level, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in doctorate degree (2.1% compared to 1.2%, a difference of 74.9%), professional degree (5.1% compared to 3.1%, a difference of 63.8%), and master's degree (17.1% compared to 10.5%, a difference of 62.9%). Conversely, both communities are more comparable in terms of 6th grade (96.9% compared to 95.7%, a difference of 1.3%), kindergarten (97.8% compared to 96.6%, a difference of 1.3%), and 1st grade (97.8% compared to 96.5%, a difference of 1.3%).

When considering disability, the most significant differences between Immigrants from Northern Africa and Bangladeshi communities in the United States are seen in disability age 35 to 64 (10.3% compared to 13.6%, a difference of 32.5%), disability age 18 to 34 (6.1% compared to 7.4%, a difference of 20.1%), and disability age 65 to 74 (22.4% compared to 26.8%, a difference of 20.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.7% compared to 49.4%, a difference of 5.8%), cognitive disability (17.3% compared to 18.6%, a difference of 7.7%), and disability age 5 to 17 (5.3% compared to 5.8%, a difference of 9.0%).