Immigrants from Sierra Leone vs Tlingit-Haida Community Comparison

The statistical analysis conducted on geographies consisting of 28,232,216 people shows a moderate positive correlation between the proportion of Tlingit-Haida within Immigrant from Sierra Leone communities in the United States with a correlation coefficient (R) of 0.465. On average, for every 1% (one percent) increase in Immigrants from Sierra Leone within a typical geography, there is an increase of 0.219% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Sierra Leone corresponds to an increase of 219.0 Tlingit-Haida.

When considering income, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in wage/income gap (21.4% compared to 24.0%, a difference of 11.8%), median female earnings ($42,214 compared to $39,513, a difference of 6.8%), and householder income ages 45 - 64 years ($103,227 compared to $97,417, a difference of 6.0%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($93,115 compared to $92,987, a difference of 0.14%), per capita income ($42,752 compared to $43,516, a difference of 1.8%), and median male earnings ($53,905 compared to $52,409, a difference of 2.9%).

When considering poverty, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in seniors poverty over the age of 65 (10.7% compared to 8.3%, a difference of 28.3%), seniors poverty over the age of 75 (11.9% compared to 9.7%, a difference of 22.5%), and married-couple family poverty (5.3% compared to 4.4%, a difference of 20.7%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (13.3% compared to 13.8%, a difference of 4.1%), male poverty (11.4% compared to 10.9%, a difference of 4.7%), and single father poverty (16.3% compared to 15.3%, a difference of 6.2%).

When considering unemployment, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (8.5% compared to 20.7%, a difference of 142.9%), unemployment among ages 60 to 64 years (5.0% compared to 6.4%, a difference of 27.6%), and unemployment among women with children ages 6 to 17 years (9.0% compared to 7.1%, a difference of 26.8%). Conversely, both communities are more comparable in terms of male unemployment (6.0% compared to 6.0%, a difference of 0.25%), unemployment among ages 30 to 34 years (6.1% compared to 6.0%, a difference of 1.5%), and unemployment among ages 45 to 54 years (4.6% compared to 4.7%, a difference of 3.7%).

When considering labor participation, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in in labor force | age 16-19 (37.3% compared to 40.5%, a difference of 8.5%), in labor force | age > 16 (68.5% compared to 65.5%, a difference of 4.6%), and in labor force | age 30-34 (86.0% compared to 82.3%, a difference of 4.5%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (84.4% compared to 83.9%, a difference of 0.60%), in labor force | age 25-29 (85.7% compared to 84.4%, a difference of 1.5%), and in labor force | age 20-24 (75.8% compared to 77.9%, a difference of 2.8%).

When considering family structure, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in single mother households (7.7% compared to 5.7%, a difference of 33.4%), family households with children (29.3% compared to 26.0%, a difference of 12.6%), and divorced or separated (12.1% compared to 13.2%, a difference of 9.4%). Conversely, both communities are more comparable in terms of married-couple households (43.3% compared to 45.1%, a difference of 4.2%), family households (64.3% compared to 61.6%, a difference of 4.4%), and average family size (3.32 compared to 3.16, a difference of 5.3%).

When considering vehicle availability, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in no vehicles in household (11.3% compared to 10.1%, a difference of 12.8%), 4 or more vehicles in household (6.1% compared to 6.8%, a difference of 12.0%), and 3 or more vehicles in household (18.7% compared to 19.9%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.7% compared to 90.1%, a difference of 1.6%), 2 or more vehicles in household (53.2% compared to 55.8%, a difference of 4.8%), and 3 or more vehicles in household (18.7% compared to 19.9%, a difference of 6.1%).

When considering education level, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 69.9%), master's degree (16.3% compared to 12.8%, a difference of 26.9%), and doctorate degree (2.0% compared to 1.7%, a difference of 16.7%). Conversely, both communities are more comparable in terms of college, 1 year or more (59.5% compared to 59.4%, a difference of 0.20%), nursery school (97.6% compared to 98.7%, a difference of 1.2%), and 1st grade (97.5% compared to 98.7%, a difference of 1.2%).

When considering disability, the most significant differences between Immigrants from Sierra Leone and Tlingit-Haida communities in the United States are seen in hearing disability (2.6% compared to 4.8%, a difference of 89.9%), vision disability (2.1% compared to 2.9%, a difference of 35.1%), and male disability (10.5% compared to 13.8%, a difference of 31.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.9%, a difference of 1.7%), self-care disability (2.4% compared to 2.4%, a difference of 1.7%), and cognitive disability (17.6% compared to 17.2%, a difference of 2.2%).