Immigrants from Northern Africa vs South African Community Comparison

The statistical analysis conducted on geographies consisting of 153,862,426 people shows a substantial positive correlation between the proportion of South Africans within Immigrant from Northern Africa communities in the United States with a correlation coefficient (R) of 0.516. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.067% in South 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 67.5 South Africans.

When considering income, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in wage/income gap (25.2% compared to 28.0%, a difference of 11.0%), per capita income ($46,531 compared to $50,044, a difference of 7.5%), and median male earnings ($58,008 compared to $61,460, a difference of 5.9%). Conversely, both communities are more comparable in terms of median female earnings ($42,084 compared to $41,825, a difference of 0.62%), median earnings ($49,648 compared to $50,752, a difference of 2.2%), and householder income under 25 years ($53,185 compared to $51,383, a difference of 3.5%).

When considering poverty, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in married-couple family poverty (5.2% compared to 4.6%, a difference of 14.1%), receiving food stamps (11.0% compared to 10.0%, a difference of 10.3%), and female poverty among 18-24 year olds (19.7% compared to 21.1%, a difference of 7.2%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (16.4% compared to 16.2%, a difference of 0.70%), single mother poverty (28.0% compared to 28.5%, a difference of 1.9%), and single female poverty (20.0% compared to 20.4%, a difference of 2.2%).

When considering unemployment, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 7.5%, a difference of 8.5%), unemployment among ages 25 to 29 years (6.3% compared to 6.6%, a difference of 5.3%), and unemployment among ages 65 to 74 years (5.5% compared to 5.2%, a difference of 4.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.7% compared to 8.7%, a difference of 0.030%), female unemployment (5.2% compared to 5.2%, a difference of 0.080%), and unemployment among ages 20 to 24 years (10.2% compared to 10.1%, a difference of 0.40%).

When considering labor participation, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in in labor force | age 16-19 (35.9% compared to 36.7%, a difference of 2.2%), in labor force | age > 16 (66.6% compared to 65.3%, a difference of 2.0%), and in labor force | age 45-54 (83.3% compared to 82.6%, a difference of 0.89%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.0%, a difference of 0.22%), in labor force | age 25-29 (85.2% compared to 85.0%, a difference of 0.30%), and in labor force | age 20-24 (74.6% compared to 75.0%, a difference of 0.56%).

When considering family structure, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in single mother households (6.2% compared to 5.8%, a difference of 6.0%), births to unmarried women (29.5% compared to 30.5%, a difference of 3.4%), and divorced or separated (11.5% compared to 11.8%, a difference of 3.1%). Conversely, both communities are more comparable in terms of family households (63.5% compared to 63.4%, a difference of 0.12%), single father households (2.1% compared to 2.1%, a difference of 0.15%), and family households with children (27.8% compared to 27.4%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in no vehicles in household (12.6% compared to 10.2%, a difference of 23.0%), 4 or more vehicles in household (5.6% compared to 6.2%, a difference of 9.9%), and 3 or more vehicles in household (17.8% compared to 19.3%, a difference of 8.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.4% compared to 90.0%, a difference of 2.9%), 2 or more vehicles in household (52.3% compared to 56.2%, a difference of 7.4%), and 3 or more vehicles in household (17.8% compared to 19.3%, a difference of 8.6%).

When considering education level, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in no schooling completed (2.2% compared to 1.8%, a difference of 24.7%), professional degree (5.1% compared to 5.7%, a difference of 12.6%), and doctorate degree (2.1% compared to 2.3%, a difference of 10.4%). Conversely, both communities are more comparable in terms of nursery school (97.8% compared to 98.3%, a difference of 0.47%), kindergarten (97.8% compared to 98.3%, a difference of 0.48%), and 1st grade (97.8% compared to 98.2%, a difference of 0.48%).

When considering disability, the most significant differences between Immigrants from Northern Africa and South African communities in the United States are seen in hearing disability (2.8% compared to 3.1%, a difference of 11.6%), vision disability (2.0% compared to 2.1%, a difference of 6.0%), and disability age 18 to 34 (6.1% compared to 6.5%, a difference of 5.9%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 1.1%), disability age 65 to 74 (22.4% compared to 21.9%, a difference of 1.9%), and cognitive disability (17.3% compared to 16.9%, a difference of 2.2%).