Immigrants from Lebanon vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 115,008,391 people shows a strong negative correlation between the proportion of Immigrants from Guyana within Immigrant from Lebanon communities in the United States with a correlation coefficient (R) of -0.752. On average, for every 1% (one percent) increase in Immigrants from Lebanon within a typical geography, there is a decrease of 0.109% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Lebanon corresponds to a decrease of 109.0 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in wage/income gap (27.5% compared to 18.4%, a difference of 50.1%), householder income ages 45 - 64 years ($108,471 compared to $90,186, a difference of 20.3%), and median family income ($110,159 compared to $92,513, a difference of 19.1%). Conversely, both communities are more comparable in terms of median female earnings ($41,183 compared to $40,773, a difference of 1.0%), householder income under 25 years ($50,729 compared to $55,726, a difference of 9.9%), and median earnings ($49,682 compared to $45,204, a difference of 9.9%).

When considering poverty, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in receiving food stamps (11.3% compared to 16.9%, a difference of 49.8%), seniors poverty over the age of 65 (11.1% compared to 14.5%, a difference of 30.8%), and seniors poverty over the age of 75 (12.7% compared to 16.2%, a difference of 28.1%). Conversely, both communities are more comparable in terms of single male poverty (12.6% compared to 12.7%, a difference of 0.89%), married-couple family poverty (6.6% compared to 6.7%, a difference of 1.4%), and female poverty among 18-24 year olds (19.8% compared to 19.3%, a difference of 2.5%).

When considering unemployment, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (16.3% compared to 25.5%, a difference of 56.1%), unemployment among ages 25 to 29 years (6.3% compared to 8.5%, a difference of 35.1%), and unemployment among youth under 25 years (11.8% compared to 15.9%, a difference of 34.5%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.7% compared to 8.9%, a difference of 2.7%), unemployment among women with children under 6 years (7.9% compared to 8.2%, a difference of 4.3%), and unemployment among seniors over 75 years (8.2% compared to 8.8%, a difference of 7.4%).

When considering labor participation, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (35.2% compared to 27.3%, a difference of 29.2%), in labor force | age 20-24 (73.1% compared to 69.3%, a difference of 5.6%), and in labor force | age 35-44 (82.7% compared to 83.6%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.9% compared to 83.8%, a difference of 0.090%), in labor force | age 25-29 (83.4% compared to 83.0%, a difference of 0.55%), and in labor force | age > 16 (64.5% compared to 64.0%, a difference of 0.85%).

When considering family structure, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in births to unmarried women (25.3% compared to 35.0%, a difference of 38.0%), single mother households (5.5% compared to 7.6%, a difference of 37.5%), and married-couple households (48.9% compared to 41.6%, a difference of 17.6%). Conversely, both communities are more comparable in terms of family households (65.5% compared to 65.5%, a difference of 0.010%), average family size (3.30 compared to 3.40, a difference of 3.3%), and divorced or separated (11.1% compared to 11.6%, a difference of 4.6%).

When considering vehicle availability, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in no vehicles in household (8.4% compared to 29.5%, a difference of 249.8%), 4 or more vehicles in household (6.3% compared to 3.4%, a difference of 86.5%), and 3 or more vehicles in household (19.8% compared to 11.2%, a difference of 75.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.6% compared to 70.6%, a difference of 29.9%), 2 or more vehicles in household (57.2% compared to 35.0%, a difference of 63.5%), and 3 or more vehicles in household (19.8% compared to 11.2%, a difference of 75.9%).

When considering education level, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in doctorate degree (2.2% compared to 1.3%, a difference of 68.3%), professional degree (5.5% compared to 3.7%, a difference of 49.0%), and no schooling completed (2.3% compared to 3.1%, a difference of 35.4%). Conversely, both communities are more comparable in terms of 4th grade (97.3% compared to 96.3%, a difference of 0.97%), nursery school (97.9% compared to 96.9%, a difference of 1.0%), and kindergarten (97.9% compared to 96.8%, a difference of 1.0%).

When considering disability, the most significant differences between Immigrants from Lebanon and Immigrants from Guyana communities in the United States are seen in hearing disability (2.9% compared to 2.3%, a difference of 26.4%), ambulatory disability (5.8% compared to 6.7%, a difference of 16.0%), and disability age under 5 (1.2% compared to 1.0%, a difference of 10.7%). Conversely, both communities are more comparable in terms of male disability (10.5% compared to 10.6%, a difference of 0.61%), disability age over 75 (47.6% compared to 47.1%, a difference of 1.1%), and cognitive disability (16.8% compared to 17.3%, a difference of 3.2%).