Immigrants from Guyana vs Immigrants from Lebanon Community Comparison

The statistical analysis conducted on geographies consisting of 114,998,331 people shows a poor negative correlation between the proportion of Immigrants from Lebanon within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of -0.115. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is a decrease of 0.005% in Immigrants from Lebanon. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to a decrease of 4.8 Immigrants from Lebanon.

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

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

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

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

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

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

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

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