Subsaharan African vs Immigrants from Panama Community Comparison

The statistical analysis conducted on geographies consisting of 217,357,050 people shows a slight negative correlation between the proportion of Immigrants from Panama within Subsaharan African communities in the United States with a correlation coefficient (R) of -0.059. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is a decrease of 0.001% in Immigrants from Panama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to a decrease of 0.5 Immigrants from Panama.

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

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

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

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

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

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

When considering education level, the most significant differences between Subsaharan African and Immigrants from Panama communities in the United States are seen in doctorate degree (1.8% compared to 1.6%, a difference of 11.1%), no schooling completed (2.3% compared to 2.3%, a difference of 2.0%), and associate's degree (43.9% compared to 44.7%, 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 Subsaharan African and Immigrants from Panama communities in the United States are seen in disability age under 5 (1.3% compared to 1.2%, a difference of 13.0%), disability age 35 to 64 (12.6% compared to 11.6%, a difference of 9.2%), and disability age 18 to 34 (7.1% compared to 6.5%, a difference of 9.1%). Conversely, both communities are more comparable in terms of ambulatory disability (6.4% compared to 6.5%, a difference of 0.54%), disability age over 75 (48.2% compared to 47.9%, a difference of 0.59%), and vision disability (2.3% compared to 2.3%, a difference of 0.78%).