Immigrants from Northern Africa vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 320,403,263 people shows a mild negative correlation between the proportion of Asians within Immigrant from Northern Africa communities in the United States with a correlation coefficient (R) of -0.310. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is a decrease of 0.470% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Northern Africa corresponds to a decrease of 470.1 Asians.

When considering income, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in householder income ages 25 - 44 years ($99,232 compared to $112,666, a difference of 13.5%), median household income ($90,026 compared to $101,681, a difference of 13.0%), and householder income ages 45 - 64 years ($105,430 compared to $118,426, a difference of 12.3%). Conversely, both communities are more comparable in terms of median female earnings ($42,084 compared to $44,586, a difference of 5.9%), wage/income gap (25.2% compared to 26.9%, a difference of 6.7%), and householder income under 25 years ($53,185 compared to $57,003, a difference of 7.2%).

When considering poverty, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in child poverty among boys under 16 (16.0% compared to 13.5%, a difference of 18.4%), child poverty under the age of 16 (15.8% compared to 13.5%, a difference of 17.6%), and child poverty among girls under 16 (16.0% compared to 13.7%, a difference of 17.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.5% compared to 12.0%, a difference of 3.7%), single father poverty (15.3% compared to 14.6%, a difference of 5.4%), and seniors poverty over the age of 65 (11.0% compared to 10.4%, a difference of 5.6%).

When considering unemployment, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in unemployment among women with children under 6 years (7.4% compared to 6.7%, a difference of 11.2%), unemployment among women with children ages 6 to 17 years (8.7% compared to 8.0%, a difference of 9.1%), and unemployment among women with children under 18 years (5.4% compared to 5.1%, a difference of 6.8%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.28%), unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.46%), and female unemployment (5.2% compared to 5.2%, a difference of 0.70%).

When considering labor participation, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in in labor force | age 16-19 (35.9% compared to 34.1%, a difference of 5.5%), in labor force | age 20-24 (74.6% compared to 73.7%, a difference of 1.3%), and in labor force | age > 16 (66.6% compared to 66.2%, a difference of 0.59%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.1%, a difference of 0.11%), in labor force | age 45-54 (83.3% compared to 83.4%, a difference of 0.15%), and in labor force | age 20-64 (80.3% compared to 80.2%, a difference of 0.16%).

When considering family structure, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in single mother households (6.2% compared to 5.6%, a difference of 10.5%), births to unmarried women (29.5% compared to 26.8%, a difference of 10.2%), and divorced or separated (11.5% compared to 10.6%, a difference of 8.0%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.28, a difference of 1.7%), single father households (2.1% compared to 2.1%, a difference of 2.0%), and currently married (46.5% compared to 48.4%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in no vehicles in household (12.6% compared to 9.0%, a difference of 40.5%), 4 or more vehicles in household (5.6% compared to 7.0%, a difference of 24.1%), and 3 or more vehicles in household (17.8% compared to 20.8%, a difference of 16.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.4% compared to 91.1%, a difference of 4.2%), 2 or more vehicles in household (52.3% compared to 57.0%, a difference of 8.9%), and 3 or more vehicles in household (17.8% compared to 20.8%, a difference of 16.7%).

When considering education level, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in doctorate degree (2.1% compared to 2.4%, a difference of 14.7%), no schooling completed (2.2% compared to 2.4%, a difference of 9.5%), and professional degree (5.1% compared to 5.5%, a difference of 8.9%). Conversely, both communities are more comparable in terms of 11th grade (92.6% compared to 92.5%, a difference of 0.070%), high school diploma (89.4% compared to 89.4%, a difference of 0.070%), and 12th grade, no diploma (91.4% compared to 91.4%, a difference of 0.080%).

When considering disability, the most significant differences between Immigrants from Northern Africa and Asian communities in the United States are seen in disability age 5 to 17 (5.3% compared to 4.8%, a difference of 10.9%), disability age 35 to 64 (10.3% compared to 9.4%, a difference of 9.6%), and disability age under 5 (1.2% compared to 1.1%, a difference of 7.3%). Conversely, both communities are more comparable in terms of disability age over 75 (46.7% compared to 46.9%, a difference of 0.45%), hearing disability (2.8% compared to 2.7%, a difference of 0.60%), and self-care disability (2.3% compared to 2.3%, a difference of 0.98%).