Crow vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 53,264,263 people shows a near-perfect negative correlation between the proportion of Immigrants from Eastern Africa within Crow communities in the United States with a correlation coefficient (R) of -0.943. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.291% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 290.9 Immigrants from Eastern Africa.

When considering income, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in per capita income ($31,729 compared to $43,838, a difference of 38.2%), median family income ($76,605 compared to $102,451, a difference of 33.7%), and householder income ages 45 - 64 years ($74,257 compared to $98,467, a difference of 32.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $51,158, a difference of 8.8%), median female earnings ($35,266 compared to $40,644, a difference of 15.2%), and wage/income gap (19.1% compared to 22.8%, a difference of 19.8%).

When considering poverty, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in single father poverty (30.3% compared to 14.7%, a difference of 105.9%), single male poverty (23.3% compared to 12.3%, a difference of 89.1%), and married-couple family poverty (9.6% compared to 5.2%, a difference of 83.2%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 11.6%, a difference of 15.7%), single mother poverty (38.6% compared to 29.3%, a difference of 31.7%), and seniors poverty over the age of 75 (15.9% compared to 12.1%, a difference of 32.0%).

When considering unemployment, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in unemployment among ages 65 to 74 years (17.4% compared to 5.0%, a difference of 245.8%), unemployment among seniors over 65 years (16.9% compared to 4.9%, a difference of 243.9%), and unemployment among ages 35 to 44 years (15.7% compared to 4.6%, a difference of 241.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 8.9%, a difference of 4.3%), unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 6.9%), and unemployment among ages 55 to 59 years (5.9% compared to 4.5%, a difference of 31.9%).

When considering labor participation, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.9%, a difference of 13.2%), in labor force | age > 16 (60.8% compared to 68.5%, a difference of 12.7%), and in labor force | age 35-44 (76.5% compared to 85.4%, a difference of 11.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 77.5%, a difference of 0.81%), in labor force | age 16-19 (38.5% compared to 40.4%, a difference of 4.8%), and in labor force | age 45-54 (78.3% compared to 83.9%, a difference of 7.1%).

When considering family structure, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in single father households (3.5% compared to 2.4%, a difference of 45.0%), births to unmarried women (40.4% compared to 31.0%, a difference of 30.4%), and average family size (3.82 compared to 3.22, a difference of 18.9%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.7%, a difference of 1.1%), married-couple households (41.4% compared to 42.9%, a difference of 3.8%), and family households (65.3% compared to 61.1%, a difference of 6.8%).

When considering vehicle availability, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 5.7%, a difference of 35.8%), 3 or more vehicles in household (22.5% compared to 18.0%, a difference of 24.7%), and no vehicles in household (11.0% compared to 10.0%, a difference of 10.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.1%, a difference of 0.94%), 2 or more vehicles in household (55.7% compared to 53.7%, a difference of 3.7%), and no vehicles in household (11.0% compared to 10.0%, a difference of 10.0%).

When considering education level, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in master's degree (10.6% compared to 16.3%, a difference of 53.7%), professional degree (3.2% compared to 4.8%, a difference of 52.3%), and no schooling completed (1.6% compared to 2.4%, a difference of 47.7%). Conversely, both communities are more comparable in terms of high school diploma (88.4% compared to 88.9%, a difference of 0.58%), 11th grade (92.9% compared to 92.3%, a difference of 0.69%), and 12th grade, no diploma (90.0% compared to 90.9%, a difference of 0.99%).

When considering disability, the most significant differences between Crow and Immigrants from Eastern Africa communities in the United States are seen in hearing disability (4.2% compared to 2.8%, a difference of 49.4%), disability age 35 to 64 (14.6% compared to 11.3%, a difference of 28.9%), and disability age 18 to 34 (8.3% compared to 6.7%, a difference of 23.9%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.2%, a difference of 3.6%), disability age 5 to 17 (5.4% compared to 5.7%, a difference of 5.0%), and disability age over 75 (49.6% compared to 47.2%, a difference of 5.2%).