Immigrants from Zimbabwe vs Immigrants from Panama Community Comparison

The statistical analysis conducted on geographies consisting of 87,198,551 people shows a significant positive correlation between the proportion of Immigrants from Panama within Immigrant from Zimbabwe communities in the United States with a correlation coefficient (R) of 0.649. On average, for every 1% (one percent) increase in Immigrants from Zimbabwe within a typical geography, there is an increase of 0.253% in Immigrants from Panama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Zimbabwe corresponds to an increase of 253.5 Immigrants from Panama.

When considering income, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in median family income ($108,830 compared to $95,647, a difference of 13.8%), per capita income ($47,394 compared to $41,853, a difference of 13.2%), and householder income ages 45 - 64 years ($104,992 compared to $93,815, a difference of 11.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,914 compared to $51,278, a difference of 1.2%), median female earnings ($41,527 compared to $39,049, a difference of 6.4%), and median earnings ($48,913 compared to $45,198, a difference of 8.2%).

When considering poverty, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in receiving food stamps (9.9% compared to 13.6%, a difference of 37.0%), married-couple family poverty (4.3% compared to 5.8%, a difference of 32.9%), and family poverty (8.2% compared to 10.0%, a difference of 22.4%). Conversely, both communities are more comparable in terms of single male poverty (12.6% compared to 12.6%, a difference of 0.43%), single father poverty (16.1% compared to 15.9%, a difference of 1.6%), and female poverty among 18-24 year olds (19.8% compared to 19.4%, a difference of 2.0%).

When considering unemployment, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in unemployment among ages 16 to 19 years (16.3% compared to 19.3%, a difference of 17.9%), unemployment among ages 35 to 44 years (4.3% compared to 5.0%, a difference of 15.1%), and unemployment among youth under 25 years (10.8% compared to 12.4%, a difference of 14.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.0% compared to 5.1%, a difference of 2.1%), unemployment among ages 65 to 74 years (5.1% compared to 5.3%, a difference of 3.8%), and unemployment among ages 60 to 64 years (4.6% compared to 4.8%, a difference of 6.1%).

When considering labor participation, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 34.0%, a difference of 11.7%), in labor force | age > 16 (66.8% compared to 65.1%, a difference of 2.7%), and in labor force | age 20-24 (75.9% compared to 73.9%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 84.3%, a difference of 1.0%), in labor force | age 25-29 (85.2% compared to 84.2%, a difference of 1.2%), and in labor force | age 45-54 (83.4% compared to 82.2%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in single mother households (6.2% compared to 7.2%, a difference of 16.2%), births to unmarried women (30.3% compared to 34.2%, a difference of 12.7%), and divorced or separated (11.9% compared to 12.6%, a difference of 6.0%). Conversely, both communities are more comparable in terms of family households with children (27.8% compared to 27.7%, a difference of 0.45%), family households (63.5% compared to 64.8%, a difference of 2.1%), and average family size (3.19 compared to 3.27, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in no vehicles in household (9.9% compared to 14.6%, a difference of 48.6%), 2 or more vehicles in household (55.6% compared to 51.1%, a difference of 8.8%), and 3 or more vehicles in household (19.1% compared to 17.7%, a difference of 7.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 85.4%, a difference of 5.6%), 4 or more vehicles in household (6.0% compared to 5.7%, a difference of 6.9%), and 3 or more vehicles in household (19.1% compared to 17.7%, a difference of 7.8%).

When considering education level, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in doctorate degree (2.2% compared to 1.6%, a difference of 37.5%), professional degree (5.3% compared to 4.1%, a difference of 28.8%), and master's degree (17.4% compared to 14.3%, a difference of 22.3%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.8%, a difference of 0.43%), kindergarten (98.2% compared to 97.7%, a difference of 0.44%), and 1st grade (98.1% compared to 97.7%, a difference of 0.44%).

When considering disability, the most significant differences between Immigrants from Zimbabwe and Immigrants from Panama communities in the United States are seen in self-care disability (2.3% compared to 2.6%, a difference of 15.3%), ambulatory disability (5.6% compared to 6.5%, a difference of 14.7%), and vision disability (2.1% compared to 2.3%, a difference of 11.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.5% compared to 17.5%, a difference of 0.24%), hearing disability (3.0% compared to 2.9%, a difference of 1.5%), and disability age over 75 (47.2% compared to 47.9%, a difference of 1.5%).