Shoshone vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 59,501,342 people shows a substantial positive correlation between the proportion of Immigrants from Eastern Africa within Shoshone communities in the United States with a correlation coefficient (R) of 0.530. On average, for every 1% (one percent) increase in Shoshone within a typical geography, there is an increase of 0.305% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Shoshone corresponds to an increase of 304.6 Immigrants from Eastern Africa.

When considering income, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in per capita income ($37,072 compared to $43,838, a difference of 18.2%), householder income ages 45 - 64 years ($83,588 compared to $98,467, a difference of 17.8%), and median female earnings ($34,677 compared to $40,644, a difference of 17.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($48,720 compared to $51,158, a difference of 5.0%), wage/income gap (25.4% compared to 22.8%, a difference of 11.4%), and householder income ages 25 - 44 years ($82,062 compared to $91,458, a difference of 11.5%).

When considering poverty, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in single father poverty (22.9% compared to 14.7%, a difference of 55.8%), single male poverty (16.7% compared to 12.3%, a difference of 35.5%), and female poverty among 25-34 year olds (16.2% compared to 13.6%, a difference of 19.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (22.5% compared to 21.4%, a difference of 5.1%), child poverty among girls under 16 (18.9% compared to 17.7%, a difference of 6.4%), and receiving food stamps (12.4% compared to 11.6%, a difference of 6.6%).

When considering unemployment, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children under 6 years (13.2% compared to 7.2%, a difference of 83.8%), unemployment among ages 55 to 59 years (7.4% compared to 4.5%, a difference of 65.5%), and unemployment among ages 30 to 34 years (7.9% compared to 5.0%, a difference of 57.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.6% compared to 8.7%, a difference of 1.0%), unemployment among women with children ages 6 to 17 years (10.0% compared to 8.9%, a difference of 12.4%), and unemployment among ages 16 to 19 years (19.3% compared to 16.8%, a difference of 15.2%).

When considering labor participation, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age > 16 (63.2% compared to 68.5%, a difference of 8.3%), in labor force | age 20-64 (76.8% compared to 81.3%, a difference of 5.9%), and in labor force | age 45-54 (79.3% compared to 83.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.1% compared to 77.5%, a difference of 1.9%), in labor force | age 16-19 (39.3% compared to 40.4%, a difference of 2.7%), and in labor force | age 35-44 (82.2% compared to 85.4%, a difference of 3.9%).

When considering family structure, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in divorced or separated (14.0% compared to 12.2%, a difference of 14.8%), births to unmarried women (35.3% compared to 31.0%, a difference of 14.0%), and single father households (2.6% compared to 2.4%, a difference of 8.2%). Conversely, both communities are more comparable in terms of currently married (44.0% compared to 44.2%, a difference of 0.48%), single mother households (6.8% compared to 6.8%, a difference of 0.65%), and married-couple households (43.9% compared to 42.9%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 5.7%, a difference of 54.4%), 3 or more vehicles in household (24.9% compared to 18.0%, a difference of 38.2%), and 2 or more vehicles in household (57.9% compared to 53.7%, a difference of 7.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.5% compared to 90.1%, a difference of 0.70%), no vehicles in household (10.8% compared to 10.0%, a difference of 7.7%), and 2 or more vehicles in household (57.9% compared to 53.7%, a difference of 7.7%).

When considering education level, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in doctorate degree (1.4% compared to 2.1%, a difference of 52.5%), master's degree (11.1% compared to 16.3%, a difference of 47.3%), and professional degree (3.3% compared to 4.8%, a difference of 45.3%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.3%, a difference of 0.27%), 12th grade, no diploma (90.5% compared to 90.9%, a difference of 0.48%), and nursery school (98.3% compared to 97.6%, a difference of 0.72%).

When considering disability, the most significant differences between Shoshone and Immigrants from Eastern Africa communities in the United States are seen in hearing disability (4.0% compared to 2.8%, a difference of 44.4%), disability age under 5 (1.6% compared to 1.2%, a difference of 35.6%), and vision disability (2.7% compared to 2.0%, a difference of 31.5%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.6% compared to 5.7%, a difference of 1.2%), disability age over 75 (49.9% compared to 47.2%, a difference of 5.7%), and cognitive disability (17.3% compared to 18.4%, a difference of 6.3%).