Immigrants from Eastern Africa vs Chippewa Community Comparison

The statistical analysis conducted on geographies consisting of 171,573,939 people shows a substantial positive correlation between the proportion of Chippewa within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.522. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.039% in Chippewa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 39.1 Chippewa.

When considering income, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in per capita income ($43,838 compared to $36,631, a difference of 19.7%), median household income ($84,299 compared to $70,539, a difference of 19.5%), and median family income ($102,451 compared to $86,852, a difference of 18.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $47,015, a difference of 8.8%), wage/income gap (22.8% compared to 25.0%, a difference of 9.4%), and householder income over 65 years ($61,157 compared to $53,847, a difference of 13.6%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in single male poverty (12.3% compared to 16.4%, a difference of 33.0%), female poverty among 25-34 year olds (13.6% compared to 18.0%, a difference of 32.4%), and child poverty under the age of 5 (18.1% compared to 23.4%, a difference of 29.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.2% compared to 5.4%, a difference of 4.2%), seniors poverty over the age of 75 (12.1% compared to 13.1%, a difference of 8.1%), and seniors poverty over the age of 65 (11.0% compared to 12.1%, a difference of 10.3%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 13.3%, a difference of 85.9%), unemployment among ages 30 to 34 years (5.0% compared to 7.8%, a difference of 54.2%), and unemployment among ages 35 to 44 years (4.6% compared to 6.2%, a difference of 35.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.9%, a difference of 6.3%), unemployment among ages 16 to 19 years (16.8% compared to 18.0%, a difference of 7.2%), and unemployment among seniors over 65 years (4.9% compared to 5.4%, a difference of 10.3%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 43.8%, a difference of 8.5%), in labor force | age > 16 (68.5% compared to 63.1%, a difference of 8.5%), and in labor force | age 20-64 (81.3% compared to 77.3%, a difference of 5.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.5% compared to 77.1%, a difference of 0.58%), in labor force | age 35-44 (85.4% compared to 82.9%, a difference of 3.0%), and in labor force | age 45-54 (83.9% compared to 81.3%, a difference of 3.3%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in births to unmarried women (31.0% compared to 42.6%, a difference of 37.7%), single father households (2.4% compared to 3.1%, a difference of 27.5%), and single mother households (6.8% compared to 8.0%, a difference of 16.6%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.20, a difference of 0.47%), family households (61.1% compared to 62.1%, a difference of 1.5%), and married-couple households (42.9% compared to 42.1%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 7.6%, a difference of 32.1%), 3 or more vehicles in household (18.0% compared to 21.5%, a difference of 19.4%), and 2 or more vehicles in household (53.7% compared to 57.2%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 90.7%, a difference of 0.59%), no vehicles in household (10.0% compared to 9.4%, a difference of 6.3%), and 2 or more vehicles in household (53.7% compared to 57.2%, a difference of 6.4%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 48.0%), master's degree (16.3% compared to 11.4%, a difference of 43.1%), and professional degree (4.8% compared to 3.5%, a difference of 38.7%). Conversely, both communities are more comparable in terms of ged/equivalency (85.7% compared to 85.2%, a difference of 0.64%), 12th grade, no diploma (90.9% compared to 91.5%, a difference of 0.70%), and high school diploma (88.9% compared to 89.7%, a difference of 0.90%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Chippewa communities in the United States are seen in disability age under 5 (1.2% compared to 1.9%, a difference of 57.3%), hearing disability (2.8% compared to 4.0%, a difference of 43.2%), and disability age 18 to 34 (6.7% compared to 9.0%, a difference of 34.4%). Conversely, both communities are more comparable in terms of cognitive disability (18.4% compared to 18.1%, a difference of 1.6%), disability age over 75 (47.2% compared to 48.4%, a difference of 2.7%), and self-care disability (2.3% compared to 2.6%, a difference of 16.3%).