Immigrants from Northern Africa vs African Community Comparison

The statistical analysis conducted on geographies consisting of 302,461,447 people shows a moderate positive correlation between the proportion of Africans within Immigrant from Northern Africa communities in the United States with a correlation coefficient (R) of 0.495. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.351% in Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Northern Africa corresponds to an increase of 351.4 Africans.

When considering income, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in householder income ages 25 - 44 years ($99,232 compared to $78,986, a difference of 25.6%), householder income ages 45 - 64 years ($105,430 compared to $84,925, a difference of 24.1%), and median household income ($90,026 compared to $72,650, a difference of 23.9%). Conversely, both communities are more comparable in terms of wage/income gap (25.2% compared to 22.9%, a difference of 10.0%), householder income under 25 years ($53,185 compared to $46,838, a difference of 13.6%), and median female earnings ($42,084 compared to $36,530, a difference of 15.2%).

When considering poverty, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in child poverty under the age of 5 (16.4% compared to 22.8%, a difference of 39.4%), receiving food stamps (11.0% compared to 15.1%, a difference of 37.6%), and child poverty under the age of 16 (15.8% compared to 21.7%, a difference of 37.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.5% compared to 13.6%, a difference of 9.2%), married-couple family poverty (5.2% compared to 6.0%, a difference of 14.5%), and seniors poverty over the age of 65 (11.0% compared to 12.6%, a difference of 14.6%).

When considering unemployment, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in unemployment among ages 30 to 34 years (5.1% compared to 6.4%, a difference of 24.6%), unemployment among women with children under 6 years (7.4% compared to 9.2%, a difference of 23.4%), and unemployment among ages 35 to 44 years (4.5% compared to 5.6%, a difference of 23.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.5% compared to 5.5%, a difference of 0.23%), unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.49%), and unemployment among ages 60 to 64 years (4.7% compared to 5.0%, a difference of 6.6%).

When considering labor participation, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in in labor force | age 16-19 (35.9% compared to 38.0%, a difference of 5.7%), in labor force | age 45-54 (83.3% compared to 80.5%, a difference of 3.5%), and in labor force | age > 16 (66.6% compared to 64.6%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.6% compared to 75.0%, a difference of 0.45%), in labor force | age 30-34 (85.2% compared to 83.4%, a difference of 2.1%), and in labor force | age 35-44 (84.8% compared to 82.9%, a difference of 2.4%).

When considering family structure, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in births to unmarried women (29.5% compared to 39.7%, a difference of 34.6%), single mother households (6.2% compared to 8.2%, a difference of 32.3%), and divorced or separated (11.5% compared to 13.2%, a difference of 15.2%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.25, a difference of 0.94%), family households (63.5% compared to 62.1%, a difference of 2.2%), and family households with children (27.8% compared to 27.2%, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 5.8%, a difference of 3.4%), no vehicles in household (12.6% compared to 12.3%, a difference of 2.3%), and 3 or more vehicles in household (17.8% compared to 18.2%, a difference of 2.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.4% compared to 87.8%, a difference of 0.38%), 2 or more vehicles in household (52.3% compared to 51.8%, a difference of 0.97%), and 3 or more vehicles in household (17.8% compared to 18.2%, a difference of 2.2%).

When considering education level, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in professional degree (5.1% compared to 3.7%, a difference of 37.9%), doctorate degree (2.1% compared to 1.6%, a difference of 35.1%), and master's degree (17.1% compared to 12.9%, a difference of 32.5%). Conversely, both communities are more comparable in terms of 4th grade (97.4% compared to 97.4%, a difference of 0.0%), 3rd grade (97.6% compared to 97.6%, a difference of 0.010%), and 5th grade (97.2% compared to 97.2%, a difference of 0.010%).

When considering disability, the most significant differences between Immigrants from Northern Africa and African communities in the United States are seen in disability age 35 to 64 (10.3% compared to 13.6%, a difference of 32.1%), vision disability (2.0% compared to 2.5%, a difference of 26.0%), and ambulatory disability (5.7% compared to 7.0%, a difference of 22.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.7% compared to 48.9%, a difference of 4.5%), cognitive disability (17.3% compared to 18.6%, a difference of 7.9%), and hearing disability (2.8% compared to 3.0%, a difference of 10.6%).