Soviet Union vs Immigrants from Northern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 42,430,736 people shows a weak positive correlation between the proportion of Immigrants from Northern Africa within Soviet Union communities in the United States with a correlation coefficient (R) of 0.204. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is an increase of 0.272% in Immigrants from Northern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to an increase of 272.3 Immigrants from Northern Africa.

When considering income, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in per capita income ($54,202 compared to $46,531, a difference of 16.5%), median female earnings ($46,556 compared to $42,084, a difference of 10.6%), and median family income ($119,262 compared to $108,161, a difference of 10.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($62,848 compared to $62,522, a difference of 0.52%), householder income under 25 years ($55,340 compared to $53,185, a difference of 4.1%), and wage/income gap (24.2% compared to 25.2%, a difference of 4.2%).

When considering poverty, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in seniors poverty over the age of 75 (14.5% compared to 12.5%, a difference of 16.1%), seniors poverty over the age of 65 (12.6% compared to 11.0%, a difference of 14.2%), and child poverty under the age of 5 (14.7% compared to 16.4%, a difference of 11.4%). Conversely, both communities are more comparable in terms of male poverty (11.1% compared to 11.1%, a difference of 0.070%), receiving food stamps (11.1% compared to 11.0%, a difference of 0.81%), and female poverty among 18-24 year olds (19.5% compared to 19.7%, a difference of 0.98%).

When considering unemployment, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in unemployment among seniors over 75 years (6.6% compared to 8.2%, a difference of 22.9%), unemployment among women with children ages 6 to 17 years (7.1% compared to 8.7%, a difference of 22.6%), and unemployment among ages 60 to 64 years (5.4% compared to 4.7%, a difference of 15.8%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 1.2%), unemployment among ages 65 to 74 years (5.4% compared to 5.5%, a difference of 1.5%), and unemployment among ages 30 to 34 years (5.0% compared to 5.1%, a difference of 2.0%).

When considering labor participation, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 35.9%, a difference of 14.4%), in labor force | age 20-24 (72.3% compared to 74.6%, a difference of 3.3%), and in labor force | age > 16 (65.0% compared to 66.6%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.3%, a difference of 0.070%), in labor force | age 25-29 (85.3% compared to 85.2%, a difference of 0.090%), and in labor force | age 35-44 (85.1% compared to 84.8%, a difference of 0.29%).

When considering family structure, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in single mother households (5.1% compared to 6.2%, a difference of 20.8%), single father households (1.8% compared to 2.1%, a difference of 19.3%), and births to unmarried women (26.3% compared to 29.5%, a difference of 12.2%). Conversely, both communities are more comparable in terms of currently married (46.2% compared to 46.5%, a difference of 0.59%), married-couple households (44.6% compared to 46.0%, a difference of 3.0%), and divorced or separated (11.1% compared to 11.5%, a difference of 3.0%).

When considering vehicle availability, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in no vehicles in household (17.4% compared to 12.6%, a difference of 38.3%), 4 or more vehicles in household (4.4% compared to 5.6%, a difference of 27.6%), and 3 or more vehicles in household (14.2% compared to 17.8%, a difference of 25.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (82.7% compared to 87.4%, a difference of 5.8%), 2 or more vehicles in household (45.7% compared to 52.3%, a difference of 14.4%), and 3 or more vehicles in household (14.2% compared to 17.8%, a difference of 25.4%).

When considering education level, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in professional degree (6.6% compared to 5.1%, a difference of 29.7%), master's degree (20.5% compared to 17.1%, a difference of 20.2%), and doctorate degree (2.5% compared to 2.1%, a difference of 17.1%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 97.8%, a difference of 0.22%), kindergarten (98.0% compared to 97.8%, a difference of 0.22%), and 1st grade (98.0% compared to 97.8%, a difference of 0.22%).

When considering disability, the most significant differences between Soviet Union and Immigrants from Northern Africa communities in the United States are seen in disability age under 5 (0.95% compared to 1.2%, a difference of 23.1%), disability age 35 to 64 (9.2% compared to 10.3%, a difference of 11.2%), and disability age 5 to 17 (5.0% compared to 5.3%, a difference of 7.2%). Conversely, both communities are more comparable in terms of ambulatory disability (5.8% compared to 5.7%, a difference of 0.82%), disability (10.9% compared to 10.9%, a difference of 0.90%), and vision disability (2.0% compared to 2.0%, a difference of 1.2%).