Immigrants from Northern Africa vs German Russian Community Comparison

The statistical analysis conducted on geographies consisting of 81,186,505 people shows a substantial positive correlation between the proportion of German Russians within Immigrant from Northern Africa communities in the United States with a correlation coefficient (R) of 0.588. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.012% in German Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Northern Africa corresponds to an increase of 12.4 German Russians.

When considering income, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in median household income ($90,026 compared to $75,856, a difference of 18.7%), householder income ages 45 - 64 years ($105,430 compared to $89,398, a difference of 17.9%), and householder income under 25 years ($53,185 compared to $45,673, a difference of 16.5%). Conversely, both communities are more comparable in terms of wage/income gap (25.2% compared to 24.6%, a difference of 2.5%), householder income over 65 years ($62,522 compared to $55,356, a difference of 12.9%), and median female earnings ($42,084 compared to $37,105, a difference of 13.4%).

When considering poverty, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in female poverty among 18-24 year olds (19.7% compared to 25.2%, a difference of 27.8%), single female poverty (20.0% compared to 23.9%, a difference of 19.5%), and female poverty among 25-34 year olds (12.6% compared to 14.9%, a difference of 18.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.0% compared to 11.0%, a difference of 0.21%), seniors poverty over the age of 75 (12.5% compared to 12.3%, a difference of 1.5%), and married-couple family poverty (5.2% compared to 5.0%, a difference of 5.2%).

When considering unemployment, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in unemployment among women with children under 6 years (7.4% compared to 8.2%, a difference of 10.6%), unemployment among ages 55 to 59 years (4.8% compared to 4.5%, a difference of 5.7%), and unemployment among ages 60 to 64 years (4.7% compared to 4.9%, a difference of 5.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.17%), unemployment among ages 20 to 24 years (10.2% compared to 10.1%, a difference of 0.89%), and unemployment among ages 16 to 19 years (17.4% compared to 17.2%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in in labor force | age 16-19 (35.9% compared to 42.4%, a difference of 18.1%), in labor force | age 20-24 (74.6% compared to 77.5%, a difference of 3.9%), and in labor force | age > 16 (66.6% compared to 66.1%, a difference of 0.80%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.2%, a difference of 0.090%), in labor force | age 20-64 (80.3% compared to 80.1%, a difference of 0.19%), and in labor force | age 35-44 (84.8% compared to 85.2%, a difference of 0.40%).

When considering family structure, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in births to unmarried women (29.5% compared to 33.1%, a difference of 12.1%), single father households (2.1% compared to 2.4%, a difference of 11.3%), and single mother households (6.2% compared to 6.7%, a difference of 7.8%). Conversely, both communities are more comparable in terms of currently married (46.5% compared to 45.5%, a difference of 2.1%), average family size (3.22 compared to 3.15, a difference of 2.5%), and family households with children (27.8% compared to 26.8%, a difference of 3.7%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 7.0%, a difference of 23.5%), no vehicles in household (12.6% compared to 10.5%, a difference of 19.6%), and 3 or more vehicles in household (17.8% compared to 20.5%, a difference of 15.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.4% compared to 89.6%, a difference of 2.5%), 2 or more vehicles in household (52.3% compared to 55.6%, a difference of 6.2%), and 3 or more vehicles in household (17.8% compared to 20.5%, a difference of 15.2%).

When considering education level, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in professional degree (5.1% compared to 4.0%, a difference of 27.5%), master's degree (17.1% compared to 13.5%, a difference of 26.8%), and doctorate degree (2.1% compared to 1.8%, a difference of 19.5%). Conversely, both communities are more comparable in terms of ged/equivalency (86.3% compared to 86.2%, a difference of 0.20%), nursery school (97.8% compared to 98.2%, a difference of 0.42%), and kindergarten (97.8% compared to 98.2%, a difference of 0.42%).

When considering disability, the most significant differences between Immigrants from Northern Africa and German Russian communities in the United States are seen in disability age under 5 (1.2% compared to 1.6%, a difference of 39.9%), disability age 35 to 64 (10.3% compared to 12.5%, a difference of 21.1%), and disability age 18 to 34 (6.1% compared to 7.4%, a difference of 20.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.7% compared to 47.3%, a difference of 1.1%), self-care disability (2.3% compared to 2.5%, a difference of 4.4%), and cognitive disability (17.3% compared to 18.2%, a difference of 5.5%).