Immigrants from Eastern Africa vs Lithuanian Community Comparison

The statistical analysis conducted on geographies consisting of 303,859,282 people shows a weak negative correlation between the proportion of Lithuanians within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.205. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.006% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 5.9 Lithuanians.

When considering income, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in wage/income gap (22.8% compared to 28.7%, a difference of 25.9%), householder income ages 25 - 44 years ($91,458 compared to $105,223, a difference of 15.0%), and householder income ages 45 - 64 years ($98,467 compared to $112,484, a difference of 14.2%). Conversely, both communities are more comparable in terms of median female earnings ($40,644 compared to $42,108, a difference of 3.6%), householder income under 25 years ($51,158 compared to $53,552, a difference of 4.7%), and householder income over 65 years ($61,157 compared to $65,209, a difference of 6.6%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in family poverty (9.5% compared to 7.2%, a difference of 32.4%), married-couple family poverty (5.2% compared to 4.0%, a difference of 31.8%), and child poverty under the age of 16 (17.6% compared to 13.5%, a difference of 30.1%). Conversely, both communities are more comparable in terms of single male poverty (12.3% compared to 13.0%, a difference of 5.8%), single mother poverty (29.3% compared to 27.4%, a difference of 7.1%), and female poverty among 25-34 year olds (13.6% compared to 12.2%, a difference of 11.3%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 9.9%, a difference of 13.5%), unemployment among ages 25 to 29 years (6.0% compared to 6.5%, a difference of 8.6%), and unemployment among women with children under 6 years (7.2% compared to 7.8%, a difference of 8.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 16.7%, a difference of 0.030%), unemployment among youth under 25 years (11.1% compared to 11.3%, a difference of 1.6%), and unemployment among ages 60 to 64 years (4.6% compared to 4.8%, a difference of 2.8%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in in labor force | age > 16 (68.5% compared to 64.8%, a difference of 5.6%), in labor force | age 20-64 (81.3% compared to 80.2%, a difference of 1.3%), and in labor force | age 20-24 (77.5% compared to 77.0%, a difference of 0.72%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (86.0% compared to 85.8%, a difference of 0.17%), in labor force | age 16-19 (40.4% compared to 40.4%, a difference of 0.19%), and in labor force | age 35-44 (85.4% compared to 85.2%, a difference of 0.25%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in single mother households (6.8% compared to 5.4%, a difference of 25.9%), single father households (2.4% compared to 2.1%, a difference of 14.8%), and married-couple households (42.9% compared to 48.9%, a difference of 13.8%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.10, a difference of 3.6%), family households with children (27.7% compared to 26.6%, a difference of 4.1%), and divorced or separated (12.2% compared to 11.7%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in no vehicles in household (10.0% compared to 8.4%, a difference of 19.0%), 3 or more vehicles in household (18.0% compared to 20.1%, a difference of 11.7%), and 4 or more vehicles in household (5.7% compared to 6.3%, a difference of 10.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 91.7%, a difference of 1.7%), 2 or more vehicles in household (53.7% compared to 58.2%, a difference of 8.4%), and 4 or more vehicles in household (5.7% compared to 6.3%, a difference of 10.4%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in no schooling completed (2.4% compared to 1.4%, a difference of 68.5%), professional degree (4.8% compared to 5.4%, a difference of 11.9%), and master's degree (16.3% compared to 17.7%, a difference of 8.5%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 1.0%), kindergarten (97.6% compared to 98.6%, a difference of 1.0%), and 1st grade (97.6% compared to 98.6%, a difference of 1.0%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Lithuanian communities in the United States are seen in disability age under 5 (1.2% compared to 1.6%, a difference of 30.6%), hearing disability (2.8% compared to 3.4%, a difference of 20.2%), and cognitive disability (18.4% compared to 16.3%, a difference of 13.0%). Conversely, both communities are more comparable in terms of vision disability (2.0% compared to 2.0%, a difference of 0.48%), disability age 5 to 17 (5.7% compared to 5.8%, a difference of 2.0%), and self-care disability (2.3% compared to 2.4%, a difference of 3.4%).