Immigrants from Panama vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 210,262,861 people shows a poor negative correlation between the proportion of Immigrants from China within Immigrant from Panama communities in the United States with a correlation coefficient (R) of -0.155. On average, for every 1% (one percent) increase in Immigrants from Panama within a typical geography, there is a decrease of 0.128% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Panama corresponds to a decrease of 127.6 Immigrants from China.

When considering income, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($89,451 compared to $119,756, a difference of 33.9%), median family income ($95,647 compared to $125,540, a difference of 31.2%), and median household income ($80,873 compared to $105,335, a difference of 30.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,278 compared to $57,931, a difference of 13.0%), wage/income gap (23.4% compared to 26.7%, a difference of 14.0%), and median female earnings ($39,049 compared to $46,972, a difference of 20.3%).

When considering poverty, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in receiving food stamps (13.6% compared to 9.6%, a difference of 42.6%), child poverty under the age of 5 (18.5% compared to 13.6%, a difference of 35.7%), and child poverty under the age of 16 (17.7% compared to 13.3%, a difference of 33.6%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.4% compared to 20.2%, a difference of 3.8%), seniors poverty over the age of 75 (13.9% compared to 13.2%, a difference of 5.3%), and single father poverty (15.9% compared to 14.9%, a difference of 6.3%).

When considering unemployment, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.2%, a difference of 24.0%), unemployment among women with children ages 6 to 17 years (9.1% compared to 7.7%, a difference of 18.1%), and unemployment among women with children under 18 years (5.8% compared to 4.9%, a difference of 17.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 2.2%), unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 2.4%), and unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 2.6%).

When considering labor participation, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (34.0% compared to 31.1%, a difference of 9.1%), in labor force | age 20-24 (73.9% compared to 71.1%, a difference of 4.0%), and in labor force | age 30-34 (84.3% compared to 85.4%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.1% compared to 65.4%, a difference of 0.48%), in labor force | age 25-29 (84.2% compared to 84.6%, a difference of 0.50%), and in labor force | age 20-64 (79.1% compared to 79.7%, a difference of 0.69%).

When considering family structure, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in single mother households (7.2% compared to 5.1%, a difference of 41.5%), births to unmarried women (34.2% compared to 24.7%, a difference of 38.6%), and single father households (2.4% compared to 1.8%, a difference of 27.4%). Conversely, both communities are more comparable in terms of family households (64.8% compared to 64.7%, a difference of 0.19%), family households with children (27.7% compared to 27.4%, a difference of 0.96%), and average family size (3.27 compared to 3.23, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 6.0%, a difference of 6.6%), no vehicles in household (14.6% compared to 15.2%, a difference of 3.5%), and 3 or more vehicles in household (17.7% compared to 18.2%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (85.4% compared to 84.9%, a difference of 0.56%), 2 or more vehicles in household (51.1% compared to 51.5%, a difference of 0.83%), and 3 or more vehicles in household (17.7% compared to 18.2%, a difference of 2.7%).

When considering education level, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in doctorate degree (1.6% compared to 3.1%, a difference of 94.3%), professional degree (4.1% compared to 6.7%, a difference of 64.4%), and master's degree (14.3% compared to 21.2%, a difference of 48.5%). Conversely, both communities are more comparable in terms of 9th grade (94.3% compared to 94.3%, a difference of 0.070%), 10th grade (93.1% compared to 93.2%, a difference of 0.070%), and 8th grade (95.2% compared to 95.0%, a difference of 0.22%).

When considering disability, the most significant differences between Immigrants from Panama and Immigrants from China communities in the United States are seen in disability age 35 to 64 (11.6% compared to 8.7%, a difference of 33.1%), disability age 5 to 17 (5.8% compared to 4.5%, a difference of 27.4%), and vision disability (2.3% compared to 1.8%, a difference of 27.0%). Conversely, both communities are more comparable in terms of cognitive disability (17.5% compared to 16.9%, a difference of 3.4%), disability age over 75 (47.9% compared to 46.3%, a difference of 3.5%), and hearing disability (2.9% compared to 2.6%, a difference of 10.9%).