Tlingit-Haida vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 54,002,321 people shows a near-perfect negative correlation between the proportion of Immigrants from Eastern Africa within Tlingit-Haida communities in the United States with a correlation coefficient (R) of -0.915. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is a decrease of 0.051% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to a decrease of 51.5 Immigrants from Eastern Africa.

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

When considering poverty, the most significant differences between Tlingit-Haida and Immigrants from Eastern Africa communities in the United States are seen in seniors poverty over the age of 65 (8.3% compared to 11.0%, a difference of 31.8%), seniors poverty over the age of 75 (9.7% compared to 12.1%, a difference of 24.5%), and child poverty among girls under 16 (14.7% compared to 17.7%, 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 (13.8% compared to 13.6%, a difference of 1.4%), and single female poverty (21.9% compared to 21.6%, a difference of 1.7%).

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

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

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

When considering vehicle availability, the most significant differences between Tlingit-Haida and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.7%, a difference of 19.4%), 3 or more vehicles in household (19.9% compared to 18.0%, a difference of 10.3%), and 2 or more vehicles in household (55.8% compared to 53.7%, 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 (10.1% compared to 10.0%, a difference of 0.23%), and 2 or more vehicles in household (55.8% compared to 53.7%, a difference of 3.8%).

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

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