Immigrants from Panama vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 217,292,665 people shows a mild negative correlation between the proportion of Sub-Saharan Africans within Immigrant from Panama communities in the United States with a correlation coefficient (R) of -0.350. On average, for every 1% (one percent) increase in Immigrants from Panama within a typical geography, there is a decrease of 0.156% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Panama corresponds to a decrease of 156.1 Sub-Saharan Africans.

When considering income, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($89,451 compared to $84,235, a difference of 6.2%), householder income under 25 years ($51,278 compared to $48,691, a difference of 5.3%), and per capita income ($41,853 compared to $40,152, a difference of 4.2%). Conversely, both communities are more comparable in terms of householder income over 65 years ($56,944 compared to $56,615, a difference of 0.58%), median female earnings ($39,049 compared to $38,391, a difference of 1.7%), and median family income ($95,647 compared to $93,748, a difference of 2.0%).

When considering poverty, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in female poverty among 18-24 year olds (19.4% compared to 22.0%, a difference of 13.3%), child poverty under the age of 5 (18.5% compared to 20.8%, a difference of 12.4%), and child poverty among girls under 16 (17.9% compared to 20.1%, a difference of 12.4%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.8% compared to 5.7%, a difference of 1.9%), seniors poverty over the age of 65 (12.4% compared to 12.1%, a difference of 2.8%), and receiving food stamps (13.6% compared to 14.1%, a difference of 3.3%).

When considering unemployment, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 9.2%, a difference of 12.1%), unemployment among women with children ages 6 to 17 years (9.1% compared to 10.0%, a difference of 10.2%), and unemployment among women with children under 6 years (7.7% compared to 8.4%, a difference of 9.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 0.84%), unemployment among youth under 25 years (12.4% compared to 12.6%, a difference of 1.8%), and unemployment among ages 20 to 24 years (10.8% compared to 11.1%, a difference of 2.4%).

When considering labor participation, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (34.0% compared to 38.4%, a difference of 13.1%), in labor force | age 20-24 (73.9% compared to 75.7%, a difference of 2.4%), and in labor force | age > 16 (65.1% compared to 66.2%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.0% compared to 84.1%, a difference of 0.070%), in labor force | age 25-29 (84.2% compared to 84.3%, a difference of 0.15%), and in labor force | age 20-64 (79.1% compared to 79.3%, a difference of 0.20%).

When considering family structure, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in single mother households (7.2% compared to 7.8%, a difference of 9.0%), births to unmarried women (34.2% compared to 36.7%, a difference of 7.2%), and married-couple households (44.6% compared to 41.6%, a difference of 7.1%). Conversely, both communities are more comparable in terms of family households with children (27.7% compared to 27.6%, a difference of 0.55%), average family size (3.27 compared to 3.25, a difference of 0.72%), and divorced or separated (12.6% compared to 12.7%, a difference of 1.0%).

When considering vehicle availability, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in no vehicles in household (14.6% compared to 12.2%, a difference of 20.0%), 1 or more vehicles in household (85.4% compared to 87.9%, a difference of 2.9%), and 2 or more vehicles in household (51.1% compared to 51.9%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (17.7% compared to 17.9%, a difference of 0.73%), 4 or more vehicles in household (5.7% compared to 5.7%, a difference of 0.86%), and 2 or more vehicles in household (51.1% compared to 51.9%, a difference of 1.6%).

When considering education level, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in doctorate degree (1.6% compared to 1.8%, a difference of 11.1%), no schooling completed (2.3% compared to 2.3%, a difference of 2.0%), and associate's degree (44.7% compared to 43.9%, a difference of 1.7%). Conversely, both communities are more comparable in terms of 6th grade (96.7% compared to 96.7%, a difference of 0.020%), 10th grade (93.1% compared to 93.1%, a difference of 0.020%), and kindergarten (97.7% compared to 97.7%, a difference of 0.030%).

When considering disability, the most significant differences between Immigrants from Panama and Subsaharan African communities in the United States are seen in disability age under 5 (1.2% compared to 1.3%, a difference of 13.0%), disability age 35 to 64 (11.6% compared to 12.6%, a difference of 9.2%), and disability age 18 to 34 (6.5% compared to 7.1%, a difference of 9.1%). Conversely, both communities are more comparable in terms of ambulatory disability (6.5% compared to 6.4%, a difference of 0.54%), disability age over 75 (47.9% compared to 48.2%, a difference of 0.59%), and vision disability (2.3% compared to 2.3%, a difference of 0.78%).