Immigrants from Eastern Africa vs Tlingit-Haida Community Comparison

The statistical analysis conducted on geographies consisting of 54,002,321 people shows a significant positive correlation between the proportion of Tlingit-Haida within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.609. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.029% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 28.7 Tlingit-Haida.

When considering income, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in householder income under 25 years ($51,158 compared to $55,914, a difference of 9.3%), wage/income gap (22.8% compared to 24.0%, a difference of 5.0%), and median earnings ($46,969 compared to $45,468, a difference of 3.3%). Conversely, both communities are more comparable in terms of median household income ($84,299 compared to $83,968, a difference of 0.39%), per capita income ($43,838 compared to $43,516, a difference of 0.74%), and householder income ages 45 - 64 years ($98,467 compared to $97,417, a difference of 1.1%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in seniors poverty over the age of 65 (11.0% compared to 8.3%, a difference of 31.8%), seniors poverty over the age of 75 (12.1% compared to 9.7%, a difference of 24.5%), and child poverty among girls under 16 (17.7% compared to 14.7%, a difference of 21.0%). Conversely, both communities are more comparable in terms of receiving food stamps (11.6% compared to 11.6%, a difference of 0.12%), female poverty among 25-34 year olds (13.6% compared to 13.8%, a difference of 1.4%), and single female poverty (21.6% compared to 21.9%, a difference of 1.7%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 20.7%, a difference of 138.1%), unemployment among ages 25 to 29 years (6.0% compared to 8.7%, a difference of 43.9%), and unemployment among ages 16 to 19 years (16.8% compared to 23.5%, a difference of 40.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 0.77%), female unemployment (5.1% compared to 4.9%, a difference of 2.4%), and unemployment among ages 45 to 54 years (4.4% compared to 4.7%, a difference of 6.6%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in in labor force | age > 16 (68.5% compared to 65.5%, a difference of 4.5%), in labor force | age 30-34 (85.9% compared to 82.3%, a difference of 4.4%), and in labor force | age 35-44 (85.4% compared to 82.5%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.9% compared to 83.9%, a difference of 0.010%), in labor force | age 16-19 (40.4% compared to 40.5%, a difference of 0.33%), and in labor force | age 20-24 (77.5% compared to 77.9%, a difference of 0.53%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in single mother households (6.8% compared to 5.7%, a difference of 19.1%), single father households (2.4% compared to 2.7%, a difference of 10.3%), and divorced or separated (12.2% compared to 13.2%, a difference of 7.8%). Conversely, both communities are more comparable in terms of family households (61.1% compared to 61.6%, a difference of 0.76%), average family size (3.22 compared to 3.16, a difference of 1.9%), and births to unmarried women (31.0% compared to 32.2%, a difference of 4.1%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 6.8%, a difference of 19.4%), 3 or more vehicles in household (18.0% compared to 19.9%, a difference of 10.3%), and 2 or more vehicles in household (53.7% compared to 55.8%, a difference of 3.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 90.1%, a difference of 0.080%), no vehicles in household (10.0% compared to 10.1%, a difference of 0.23%), and 2 or more vehicles in household (53.7% compared to 55.8%, a difference of 3.8%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 66.8%), master's degree (16.3% compared to 12.8%, a difference of 27.3%), and doctorate degree (2.1% compared to 1.7%, a difference of 23.8%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.7%, a difference of 1.1%), 1st grade (97.6% compared to 98.7%, a difference of 1.1%), and kindergarten (97.6% compared to 98.7%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Tlingit-Haida communities in the United States are seen in hearing disability (2.8% compared to 4.8%, a difference of 73.7%), vision disability (2.0% compared to 2.9%, a difference of 39.4%), and disability age under 5 (1.2% compared to 1.5%, a difference of 29.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.7% compared to 5.9%, a difference of 3.6%), cognitive disability (18.4% compared to 17.2%, a difference of 6.6%), and self-care disability (2.3% compared to 2.4%, a difference of 7.1%).