Immigrants from Eastern Africa vs Tongan Community Comparison

The statistical analysis conducted on geographies consisting of 92,118,175 people shows a poor negative correlation between the proportion of Tongans within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.102. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.004% in Tongans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 3.7 Tongans.

When considering income, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in wage/income gap (22.8% compared to 27.5%, a difference of 20.3%), householder income over 65 years ($61,157 compared to $68,235, a difference of 11.6%), and householder income under 25 years ($51,158 compared to $56,972, a difference of 11.4%). Conversely, both communities are more comparable in terms of median male earnings ($53,713 compared to $53,218, a difference of 0.93%), median earnings ($46,969 compared to $45,665, a difference of 2.9%), and median family income ($102,451 compared to $105,967, a difference of 3.4%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in child poverty among boys under 16 (17.7% compared to 13.4%, a difference of 32.5%), child poverty under the age of 16 (17.6% compared to 13.4%, a difference of 31.3%), and child poverty among girls under 16 (17.7% compared to 13.6%, a difference of 30.8%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.2% compared to 4.7%, a difference of 10.1%), single mother poverty (29.3% compared to 26.5%, a difference of 10.5%), and single female poverty (21.6% compared to 18.8%, a difference of 14.8%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 6.7%, a difference of 32.1%), unemployment among seniors over 75 years (8.7% compared to 10.4%, a difference of 19.2%), and unemployment among women with children under 18 years (5.4% compared to 4.7%, a difference of 16.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.020%), unemployment among youth under 25 years (11.1% compared to 10.9%, a difference of 1.3%), and unemployment among ages 20 to 24 years (9.5% compared to 9.4%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in in labor force | age 30-34 (85.9% compared to 83.5%, a difference of 2.9%), in labor force | age 35-44 (85.4% compared to 83.6%, a difference of 2.2%), and in labor force | age 16-19 (40.4% compared to 41.2%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.5% compared to 77.9%, a difference of 0.51%), in labor force | age 45-54 (83.9% compared to 83.1%, a difference of 0.95%), and in labor force | age 20-64 (81.3% compared to 80.3%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in married-couple households (42.9% compared to 51.6%, a difference of 20.1%), single mother households (6.8% compared to 5.8%, a difference of 17.1%), and family households (61.1% compared to 69.6%, a difference of 13.9%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.5%, a difference of 3.9%), average family size (3.22 compared to 3.49, a difference of 8.6%), and births to unmarried women (31.0% compared to 28.4%, a difference of 9.1%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 10.0%, a difference of 75.2%), 3 or more vehicles in household (18.0% compared to 26.5%, a difference of 47.3%), and no vehicles in household (10.0% compared to 7.2%, a difference of 40.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 92.9%, a difference of 3.0%), 2 or more vehicles in household (53.7% compared to 63.5%, a difference of 18.2%), and no vehicles in household (10.0% compared to 7.2%, a difference of 40.0%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in master's degree (16.3% compared to 12.5%, a difference of 30.9%), professional degree (4.8% compared to 3.7%, a difference of 29.4%), and doctorate degree (2.1% compared to 1.7%, a difference of 22.4%). Conversely, both communities are more comparable in terms of 9th grade (94.5% compared to 94.4%, a difference of 0.060%), 11th grade (92.3% compared to 92.2%, a difference of 0.060%), and 10th grade (93.4% compared to 93.3%, a difference of 0.11%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Tongan communities in the United States are seen in disability age 5 to 17 (5.7% compared to 5.0%, a difference of 12.4%), disability age under 5 (1.2% compared to 1.3%, a difference of 11.1%), and disability age 35 to 64 (11.3% compared to 10.5%, a difference of 7.9%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.4% compared to 23.8%, a difference of 1.5%), self-care disability (2.3% compared to 2.2%, a difference of 2.3%), and disability age over 75 (47.2% compared to 48.3%, a difference of 2.5%).