Japanese vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 212,082,708 people shows a moderate positive correlation between the proportion of Immigrants from Eastern Africa within Japanese communities in the United States with a correlation coefficient (R) of 0.475. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is an increase of 0.047% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to an increase of 47.5 Immigrants from Eastern Africa.

When considering income, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in per capita income ($39,870 compared to $43,838, a difference of 10.0%), householder income over 65 years ($57,919 compared to $61,157, a difference of 5.6%), and median female earnings ($38,528 compared to $40,644, a difference of 5.5%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($91,624 compared to $91,458, a difference of 0.18%), median household income ($83,395 compared to $84,299, a difference of 1.1%), and householder income ages 45 - 64 years ($96,834 compared to $98,467, a difference of 1.7%).

When considering poverty, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in receiving food stamps (14.1% compared to 11.6%, a difference of 21.5%), female poverty among 18-24 year olds (18.8% compared to 21.4%, a difference of 13.9%), and seniors poverty over the age of 65 (12.2% compared to 11.0%, a difference of 10.5%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (18.1% compared to 18.1%, a difference of 0.080%), child poverty among boys under 16 (17.7% compared to 17.7%, a difference of 0.20%), and child poverty under the age of 16 (17.7% compared to 17.6%, a difference of 0.37%).

When considering unemployment, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in unemployment among ages 30 to 34 years (5.9% compared to 5.0%, a difference of 17.0%), unemployment among ages 25 to 29 years (6.9% compared to 6.0%, a difference of 15.1%), and male unemployment (5.8% compared to 5.2%, a difference of 11.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (4.9% compared to 4.9%, a difference of 0.90%), unemployment among ages 65 to 74 years (5.2% compared to 5.0%, a difference of 3.7%), and unemployment among women with children under 6 years (7.5% compared to 7.2%, a difference of 4.3%).

When considering labor participation, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 40.4%, a difference of 7.5%), in labor force | age > 16 (65.8% compared to 68.5%, a difference of 4.0%), and in labor force | age 20-24 (75.3% compared to 77.5%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 85.9%, a difference of 1.9%), in labor force | age 25-29 (84.3% compared to 86.0%, a difference of 1.9%), and in labor force | age 35-44 (83.6% compared to 85.4%, a difference of 2.2%).

When considering family structure, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in single father households (2.8% compared to 2.4%, a difference of 13.6%), births to unmarried women (35.2% compared to 31.0%, a difference of 13.6%), and single mother households (7.4% compared to 6.8%, a difference of 8.2%). Conversely, both communities are more comparable in terms of currently married (44.5% compared to 44.2%, a difference of 0.64%), divorced or separated (12.0% compared to 12.2%, a difference of 2.2%), and average family size (3.35 compared to 3.22, a difference of 4.1%).

When considering vehicle availability, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (7.7% compared to 5.7%, a difference of 34.3%), 3 or more vehicles in household (21.8% compared to 18.0%, a difference of 20.9%), and 2 or more vehicles in household (57.5% compared to 53.7%, a difference of 7.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 90.1%, a difference of 0.53%), no vehicles in household (9.4% compared to 10.0%, a difference of 6.5%), and 2 or more vehicles in household (57.5% compared to 53.7%, a difference of 7.0%).

When considering education level, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in doctorate degree (1.5% compared to 2.1%, a difference of 38.9%), no schooling completed (3.3% compared to 2.4%, a difference of 38.2%), and professional degree (3.5% compared to 4.8%, a difference of 35.5%). Conversely, both communities are more comparable in terms of nursery school (96.7% compared to 97.6%, a difference of 0.98%), kindergarten (96.7% compared to 97.6%, a difference of 0.98%), and 1st grade (96.6% compared to 97.6%, a difference of 0.99%).

When considering disability, the most significant differences between Japanese and Immigrants from Eastern Africa communities in the United States are seen in self-care disability (2.7% compared to 2.3%, a difference of 17.9%), vision disability (2.4% compared to 2.0%, a difference of 15.3%), and ambulatory disability (6.3% compared to 5.6%, a difference of 12.1%). Conversely, both communities are more comparable in terms of cognitive disability (18.3% compared to 18.4%, a difference of 0.60%), disability age under 5 (1.2% compared to 1.2%, a difference of 1.5%), and disability age 18 to 34 (6.8% compared to 6.7%, a difference of 2.1%).