German Russian vs Immigrants from Northern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 81,207,283 people shows no correlation between the proportion of Immigrants from Northern Africa within German Russian communities in the United States with a correlation coefficient (R) of -0.018. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is a decrease of 0.008% in Immigrants from Northern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to a decrease of 7.6 Immigrants from Northern Africa.

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

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

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

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

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

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

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

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