Immigrants from Northern Africa vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 49,484,134 people shows a poor positive correlation between the proportion of Crow within Immigrant from Northern Africa communities in the United States with a correlation coefficient (R) of 0.112. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.002% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Northern Africa corresponds to an increase of 2.0 Crow.

When considering income, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in per capita income ($46,531 compared to $31,729, a difference of 46.7%), householder income ages 45 - 64 years ($105,430 compared to $74,257, a difference of 42.0%), and median household income ($90,026 compared to $63,681, a difference of 41.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,185 compared to $47,012, a difference of 13.1%), median female earnings ($42,084 compared to $35,266, a difference of 19.3%), and householder income over 65 years ($62,522 compared to $49,234, a difference of 27.0%).

When considering poverty, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in single father poverty (15.3% compared to 30.3%, a difference of 97.3%), single male poverty (11.9% compared to 23.3%, a difference of 94.8%), and child poverty under the age of 5 (16.4% compared to 31.0%, a difference of 89.5%). Conversely, both communities are more comparable in terms of receiving food stamps (11.0% compared to 13.4%, a difference of 22.1%), seniors poverty over the age of 75 (12.5% compared to 15.9%, a difference of 28.0%), and single mother poverty (28.0% compared to 38.6%, a difference of 38.0%).

When considering unemployment, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.5% compared to 15.7%, a difference of 246.1%), unemployment among seniors over 65 years (5.2% compared to 16.9%, a difference of 223.6%), and unemployment among ages 65 to 74 years (5.5% compared to 17.4%, a difference of 218.5%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 5.0%, a difference of 6.1%), unemployment among women with children ages 6 to 17 years (8.7% compared to 9.2%, a difference of 6.4%), and unemployment among ages 55 to 59 years (4.8% compared to 5.9%, a difference of 23.0%).

When considering labor participation, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in in labor force | age 30-34 (85.2% compared to 75.9%, a difference of 12.2%), in labor force | age 35-44 (84.8% compared to 76.5%, a difference of 11.0%), and in labor force | age > 16 (66.6% compared to 60.8%, a difference of 9.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.6% compared to 76.9%, a difference of 3.0%), in labor force | age 45-54 (83.3% compared to 78.3%, a difference of 6.4%), and in labor force | age 16-19 (35.9% compared to 38.5%, a difference of 7.1%).

When considering family structure, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in single father households (2.1% compared to 3.5%, a difference of 64.1%), births to unmarried women (29.5% compared to 40.4%, a difference of 36.7%), and divorced or separated (11.5% compared to 14.1%, a difference of 22.6%). Conversely, both communities are more comparable in terms of family households with children (27.8% compared to 27.4%, a difference of 1.7%), family households (63.5% compared to 65.3%, a difference of 2.8%), and married-couple households (46.0% compared to 41.4%, a difference of 11.1%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 7.8%, a difference of 37.8%), 3 or more vehicles in household (17.8% compared to 22.5%, a difference of 26.3%), and no vehicles in household (12.6% compared to 11.0%, a difference of 14.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.4% compared to 89.3%, a difference of 2.1%), 2 or more vehicles in household (52.3% compared to 55.7%, a difference of 6.5%), and no vehicles in household (12.6% compared to 11.0%, a difference of 14.2%).

When considering education level, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in master's degree (17.1% compared to 10.6%, a difference of 60.6%), professional degree (5.1% compared to 3.2%, a difference of 60.3%), and bachelor's degree (41.9% compared to 27.7%, a difference of 51.2%). Conversely, both communities are more comparable in terms of 11th grade (92.6% compared to 92.9%, a difference of 0.34%), high school diploma (89.4% compared to 88.4%, a difference of 1.1%), and 10th grade (93.7% compared to 94.7%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Northern Africa and Crow communities in the United States are seen in hearing disability (2.8% compared to 4.2%, a difference of 51.3%), disability age 35 to 64 (10.3% compared to 14.6%, a difference of 42.1%), and disability age 18 to 34 (6.1% compared to 8.3%, a difference of 34.9%). Conversely, both communities are more comparable in terms of cognitive disability (17.3% compared to 17.3%, a difference of 0.32%), disability age 5 to 17 (5.3% compared to 5.4%, a difference of 1.3%), and disability age over 75 (46.7% compared to 49.6%, a difference of 6.1%).