Immigrants from Panama vs Immigrants from Congo Community Comparison

The statistical analysis conducted on geographies consisting of 70,133,069 people shows a poor negative correlation between the proportion of Immigrants from Congo within Immigrant from Panama communities in the United States with a correlation coefficient (R) of -0.194. On average, for every 1% (one percent) increase in Immigrants from Panama within a typical geography, there is a decrease of 0.030% in Immigrants from Congo. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Panama corresponds to a decrease of 30.5 Immigrants from Congo.

When considering income, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in householder income ages 25 - 44 years ($89,451 compared to $72,178, a difference of 23.9%), median household income ($80,873 compared to $66,768, a difference of 21.1%), and householder income ages 45 - 64 years ($93,815 compared to $77,850, a difference of 20.5%). Conversely, both communities are more comparable in terms of wage/income gap (23.4% compared to 21.7%, a difference of 8.0%), householder income over 65 years ($56,944 compared to $51,393, a difference of 10.8%), and median female earnings ($39,049 compared to $34,317, a difference of 13.8%).

When considering poverty, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in child poverty under the age of 5 (18.5% compared to 23.9%, a difference of 29.3%), child poverty among girls under 16 (17.9% compared to 22.7%, a difference of 27.2%), and child poverty under the age of 16 (17.7% compared to 22.5%, a difference of 27.0%). Conversely, both communities are more comparable in terms of single father poverty (15.9% compared to 15.4%, a difference of 3.2%), receiving food stamps (13.6% compared to 14.1%, a difference of 3.8%), and seniors poverty over the age of 65 (12.4% compared to 11.7%, a difference of 5.9%).

When considering unemployment, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 6.7%, a difference of 21.7%), unemployment among ages 16 to 19 years (19.3% compared to 16.3%, a difference of 18.5%), and unemployment among ages 20 to 24 years (10.8% compared to 9.2%, a difference of 17.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.1% compared to 9.0%, a difference of 0.45%), unemployment among women with children under 18 years (5.8% compared to 6.0%, a difference of 3.5%), and unemployment among ages 45 to 54 years (4.6% compared to 4.4%, a difference of 4.3%).

When considering labor participation, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in in labor force | age 16-19 (34.0% compared to 41.7%, a difference of 22.7%), in labor force | age 20-24 (73.9% compared to 77.4%, a difference of 4.7%), and in labor force | age > 16 (65.1% compared to 67.1%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 84.2%, a difference of 0.010%), in labor force | age 20-64 (79.1% compared to 79.3%, a difference of 0.21%), and in labor force | age 30-34 (84.3% compared to 84.6%, a difference of 0.33%).

When considering family structure, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in married-couple households (44.6% compared to 39.0%, a difference of 14.2%), single mother households (7.2% compared to 8.1%, a difference of 13.3%), and family households (64.8% compared to 59.2%, a difference of 9.4%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.23, a difference of 1.3%), family households with children (27.7% compared to 27.3%, a difference of 1.5%), and divorced or separated (12.6% compared to 13.5%, a difference of 6.7%).

When considering vehicle availability, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in no vehicles in household (14.6% compared to 10.1%, a difference of 45.7%), 4 or more vehicles in household (5.7% compared to 5.2%, a difference of 7.8%), and 1 or more vehicles in household (85.4% compared to 90.0%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (51.1% compared to 52.1%, a difference of 2.1%), 3 or more vehicles in household (17.7% compared to 17.0%, a difference of 4.4%), and 1 or more vehicles in household (85.4% compared to 90.0%, a difference of 5.4%).

When considering education level, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in master's degree (14.3% compared to 12.6%, a difference of 12.8%), professional degree (4.1% compared to 3.6%, a difference of 12.3%), and bachelor's degree (36.2% compared to 33.6%, a difference of 7.7%). Conversely, both communities are more comparable in terms of kindergarten (97.7% compared to 97.6%, a difference of 0.15%), nursery school (97.8% compared to 97.6%, a difference of 0.16%), and 1st grade (97.7% compared to 97.5%, a difference of 0.16%).

When considering disability, the most significant differences between Immigrants from Panama and Immigrants from Congo communities in the United States are seen in disability age 35 to 64 (11.6% compared to 13.3%, a difference of 15.0%), cognitive disability (17.5% compared to 19.7%, a difference of 12.7%), and self-care disability (2.6% compared to 2.4%, a difference of 10.3%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.9%, a difference of 0.28%), vision disability (2.3% compared to 2.3%, a difference of 0.77%), and disability age over 75 (47.9% compared to 48.7%, a difference of 1.7%).