Immigrants from Eastern Africa vs Taiwanese Community Comparison

The statistical analysis conducted on geographies consisting of 30,664,447 people shows a poor positive correlation between the proportion of Taiwanese within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.170. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.001% in Taiwanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 1.2 Taiwanese.

When considering income, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in householder income ages 25 - 44 years ($91,458 compared to $101,492, a difference of 11.0%), wage/income gap (22.8% compared to 25.1%, a difference of 10.2%), and median household income ($84,299 compared to $89,900, a difference of 6.6%). Conversely, both communities are more comparable in terms of median female earnings ($40,644 compared to $40,576, a difference of 0.17%), median earnings ($46,969 compared to $47,902, a difference of 2.0%), and householder income under 25 years ($51,158 compared to $49,804, a difference of 2.7%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in child poverty under the age of 5 (18.1% compared to 14.5%, a difference of 24.7%), child poverty under the age of 16 (17.6% compared to 14.5%, a difference of 21.3%), and child poverty among girls under 16 (17.7% compared to 14.6%, a difference of 21.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.4% compared to 21.2%, a difference of 0.88%), seniors poverty over the age of 65 (11.0% compared to 11.2%, a difference of 1.4%), and single father poverty (14.7% compared to 14.3%, a difference of 2.7%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 6.5%, a difference of 37.2%), unemployment among seniors over 75 years (8.7% compared to 6.6%, a difference of 32.7%), and unemployment among ages 65 to 74 years (5.0% compared to 6.3%, a difference of 25.3%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.5%, a difference of 0.57%), unemployment among ages 20 to 24 years (9.5% compared to 9.4%, a difference of 1.1%), and unemployment among ages 25 to 29 years (6.0% compared to 6.1%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 33.8%, a difference of 19.3%), in labor force | age 20-24 (77.5% compared to 74.7%, a difference of 3.7%), and in labor force | age > 16 (68.5% compared to 66.2%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.4% compared to 85.1%, a difference of 0.36%), in labor force | age 45-54 (83.9% compared to 83.4%, a difference of 0.59%), and in labor force | age 25-29 (86.0% compared to 85.4%, a difference of 0.60%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in single mother households (6.8% compared to 5.8%, a difference of 18.8%), single father households (2.4% compared to 2.2%, a difference of 10.3%), and married-couple households (42.9% compared to 45.9%, a difference of 7.0%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.23, a difference of 0.46%), family households with children (27.7% compared to 26.7%, a difference of 3.4%), and family households (61.1% compared to 63.3%, a difference of 3.6%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 7.0%, a difference of 22.5%), no vehicles in household (10.0% compared to 11.7%, a difference of 16.1%), and 3 or more vehicles in household (18.0% compared to 20.0%, a difference of 11.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.7% compared to 53.9%, a difference of 0.23%), 1 or more vehicles in household (90.1% compared to 88.4%, a difference of 1.9%), and 3 or more vehicles in household (18.0% compared to 20.0%, a difference of 11.1%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in professional degree (4.8% compared to 5.0%, a difference of 3.5%), no schooling completed (2.4% compared to 2.5%, a difference of 2.9%), and doctorate degree (2.1% compared to 2.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.070%), kindergarten (97.6% compared to 97.5%, a difference of 0.070%), and 2nd grade (97.5% compared to 97.4%, a difference of 0.070%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Taiwanese communities in the United States are seen in disability age 35 to 64 (11.3% compared to 9.8%, a difference of 15.2%), disability age 5 to 17 (5.7% compared to 4.9%, a difference of 15.2%), and disability age 18 to 34 (6.7% compared to 6.0%, a difference of 11.7%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 0.070%), ambulatory disability (5.6% compared to 5.6%, a difference of 0.15%), and disability age over 75 (47.2% compared to 48.2%, a difference of 2.1%).