Nonimmigrants vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 355,180,406 people shows a slight positive correlation between the proportion of Immigrants from Eastern Africa within Nonimmigrant communities in the United States with a correlation coefficient (R) of 0.091. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is an increase of 0.001% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to an increase of 1.4 Immigrants from Eastern Africa.

When considering income, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in wage/income gap (27.2% compared to 22.8%, a difference of 19.1%), median female earnings ($37,024 compared to $40,644, a difference of 9.8%), and per capita income ($40,669 compared to $43,838, a difference of 7.8%). Conversely, both communities are more comparable in terms of median male earnings ($52,170 compared to $53,713, a difference of 3.0%), householder income ages 25 - 44 years ($88,301 compared to $91,458, a difference of 3.6%), and householder income under 25 years ($49,348 compared to $51,158, a difference of 3.7%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in single father poverty (18.8% compared to 14.7%, a difference of 28.1%), single male poverty (14.6% compared to 12.3%, a difference of 18.4%), and female poverty among 25-34 year olds (15.6% compared to 13.6%, a difference of 14.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.5% compared to 21.4%, a difference of 0.41%), seniors poverty over the age of 65 (10.9% compared to 11.0%, a difference of 1.1%), and seniors poverty over the age of 75 (12.2% compared to 12.1%, a difference of 1.2%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 7.2%, a difference of 23.4%), unemployment among ages 30 to 34 years (6.1% compared to 5.0%, a difference of 20.3%), and unemployment among ages 25 to 29 years (7.1% compared to 6.0%, a difference of 18.1%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.4%, a difference of 1.5%), unemployment (5.3% compared to 5.1%, a difference of 3.3%), and unemployment among women with children under 18 years (5.7% compared to 5.4%, a difference of 3.9%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age > 16 (63.5% compared to 68.5%, a difference of 7.8%), in labor force | age 20-64 (78.1% compared to 81.3%, a difference of 4.2%), and in labor force | age 45-54 (81.2% compared to 83.9%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (40.1% compared to 40.4%, a difference of 0.67%), in labor force | age 20-24 (76.2% compared to 77.5%, a difference of 1.7%), and in labor force | age 35-44 (83.2% compared to 85.4%, a difference of 2.6%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in births to unmarried women (35.5% compared to 31.0%, a difference of 14.8%), married-couple households (46.9% compared to 42.9%, a difference of 9.2%), and currently married (46.9% compared to 44.2%, a difference of 6.1%). Conversely, both communities are more comparable in terms of family households with children (27.5% compared to 27.7%, a difference of 0.52%), single father households (2.4% compared to 2.4%, a difference of 0.89%), and average family size (3.19 compared to 3.22, a difference of 0.90%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in no vehicles in household (7.9% compared to 10.0%, a difference of 27.1%), 4 or more vehicles in household (7.2% compared to 5.7%, a difference of 26.1%), and 3 or more vehicles in household (21.8% compared to 18.0%, a difference of 20.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 90.1%, a difference of 2.3%), 2 or more vehicles in household (58.8% compared to 53.7%, a difference of 9.3%), and 3 or more vehicles in household (21.8% compared to 18.0%, a difference of 20.8%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in no schooling completed (1.8% compared to 2.4%, a difference of 34.8%), doctorate degree (1.7% compared to 2.1%, a difference of 25.4%), and professional degree (3.9% compared to 4.8%, a difference of 23.3%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.0% compared to 90.9%, a difference of 0.16%), high school diploma (89.2% compared to 88.9%, a difference of 0.25%), and 11th grade (92.7% compared to 92.3%, a difference of 0.45%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from Eastern Africa communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 34.4%), hearing disability (3.6% compared to 2.8%, a difference of 28.4%), and ambulatory disability (6.9% compared to 5.6%, a difference of 22.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 47.2%, a difference of 1.9%), cognitive disability (17.4% compared to 18.4%, a difference of 5.6%), and disability age 65 to 74 (25.0% compared to 23.4%, a difference of 6.8%).