Immigrants from Kenya vs Immigrants from Lebanon Community Comparison

The statistical analysis conducted on geographies consisting of 137,799,451 people shows a strong positive correlation between the proportion of Immigrants from Lebanon within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.739. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.099% in Immigrants from Lebanon. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 98.7 Immigrants from Lebanon.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in wage/income gap (24.4% compared to 27.5%, a difference of 12.9%), householder income ages 25 - 44 years ($90,767 compared to $101,124, a difference of 11.4%), and householder income ages 45 - 64 years ($97,964 compared to $108,471, a difference of 10.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $50,729, a difference of 2.2%), median female earnings ($39,535 compared to $41,183, a difference of 4.2%), and median earnings ($46,214 compared to $49,682, a difference of 7.5%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in married-couple family poverty (4.9% compared to 6.6%, a difference of 34.4%), single father poverty (15.0% compared to 17.9%, a difference of 19.4%), and female poverty among 25-34 year olds (13.8% compared to 12.2%, a difference of 13.0%). Conversely, both communities are more comparable in terms of child poverty among boys under 16 (17.1% compared to 17.0%, a difference of 0.18%), poverty (12.8% compared to 12.8%, a difference of 0.20%), and male poverty (11.6% compared to 11.7%, a difference of 0.46%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 5.0%, a difference of 12.2%), unemployment among ages 20 to 24 years (9.7% compared to 10.9%, a difference of 11.7%), and unemployment among ages 45 to 54 years (4.4% compared to 4.8%, a difference of 10.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.2% compared to 16.3%, a difference of 0.74%), unemployment among women with children ages 6 to 17 years (8.8% compared to 8.7%, a difference of 1.3%), and unemployment among ages 65 to 74 years (5.1% compared to 5.0%, a difference of 1.8%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 35.2%, a difference of 15.0%), in labor force | age 20-24 (77.0% compared to 73.1%, a difference of 5.2%), and in labor force | age > 16 (67.6% compared to 64.5%, a difference of 4.7%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 82.3%, a difference of 1.4%), in labor force | age 30-34 (85.5% compared to 83.9%, a difference of 2.0%), and in labor force | age 25-29 (85.4% compared to 83.4%, a difference of 2.4%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in single mother households (7.0% compared to 5.5%, a difference of 26.8%), births to unmarried women (32.1% compared to 25.3%, a difference of 26.6%), and single father households (2.4% compared to 2.0%, a difference of 19.4%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 28.6%, a difference of 1.6%), average family size (3.21 compared to 3.30, a difference of 2.8%), and family households (62.3% compared to 65.5%, a difference of 5.1%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in no vehicles in household (9.6% compared to 8.4%, a difference of 14.3%), 4 or more vehicles in household (6.0% compared to 6.3%, a difference of 6.3%), and 3 or more vehicles in household (18.8% compared to 19.8%, a difference of 5.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.6%, a difference of 1.4%), 2 or more vehicles in household (55.1% compared to 57.2%, a difference of 3.8%), and 3 or more vehicles in household (18.8% compared to 19.8%, a difference of 5.3%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in professional degree (4.4% compared to 5.5%, a difference of 24.7%), doctorate degree (1.9% compared to 2.2%, a difference of 17.5%), and master's degree (15.3% compared to 17.5%, a difference of 14.9%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.9%, a difference of 0.010%), kindergarten (97.9% compared to 97.9%, a difference of 0.020%), and 2nd grade (97.8% compared to 97.8%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Lebanon communities in the United States are seen in disability age 5 to 17 (5.8% compared to 4.8%, a difference of 20.3%), disability age 18 to 34 (6.9% compared to 6.0%, a difference of 14.1%), and disability age 35 to 64 (11.6% compared to 10.3%, a difference of 13.3%). Conversely, both communities are more comparable in terms of disability age over 75 (47.6% compared to 47.6%, a difference of 0.12%), ambulatory disability (5.8% compared to 5.8%, a difference of 0.36%), and vision disability (2.1% compared to 2.1%, a difference of 2.2%).