Colombian vs Czech Community Comparison

The statistical analysis conducted on geographies consisting of 379,935,846 people shows a mild positive correlation between the proportion of Czechs within Colombian communities in the United States with a correlation coefficient (R) of 0.335. On average, for every 1% (one percent) increase in Colombians within a typical geography, there is an increase of 0.034% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Colombians corresponds to an increase of 34.0 Czechs.

When considering income, the most significant differences between Colombian and Czech communities in the United States are seen in wage/income gap (24.7% compared to 29.2%, a difference of 18.0%), median family income ($100,750 compared to $105,839, a difference of 5.1%), and median male earnings ($53,832 compared to $56,546, a difference of 5.0%). Conversely, both communities are more comparable in terms of median household income ($85,716 compared to $86,164, a difference of 0.52%), median female earnings ($39,439 compared to $38,992, a difference of 1.1%), and median earnings ($46,349 compared to $47,221, a difference of 1.9%).

When considering poverty, the most significant differences between Colombian and Czech communities in the United States are seen in seniors poverty over the age of 65 (12.5% compared to 9.0%, a difference of 39.0%), married-couple family poverty (5.6% compared to 4.0%, a difference of 38.4%), and receiving food stamps (12.6% compared to 9.2%, a difference of 37.0%). Conversely, both communities are more comparable in terms of single mother poverty (28.3% compared to 28.9%, a difference of 2.0%), female poverty among 25-34 year olds (13.2% compared to 12.9%, a difference of 2.2%), and single father poverty (16.1% compared to 17.0%, a difference of 5.5%).

When considering unemployment, the most significant differences between Colombian and Czech communities in the United States are seen in female unemployment (5.3% compared to 4.4%, a difference of 21.6%), unemployment (5.2% compared to 4.3%, a difference of 20.2%), and unemployment among ages 16 to 19 years (18.3% compared to 15.4%, a difference of 18.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.6%, a difference of 1.3%), unemployment among ages 25 to 29 years (6.6% compared to 6.2%, a difference of 7.0%), and unemployment among ages 30 to 34 years (5.4% compared to 5.0%, a difference of 7.5%).

When considering labor participation, the most significant differences between Colombian and Czech communities in the United States are seen in in labor force | age 16-19 (33.8% compared to 43.6%, a difference of 29.0%), in labor force | age 20-24 (73.5% compared to 78.5%, a difference of 6.9%), and in labor force | age 25-29 (84.7% compared to 85.6%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.0% compared to 85.3%, a difference of 0.40%), in labor force | age 20-64 (80.1% compared to 80.5%, a difference of 0.48%), and in labor force | age 45-54 (83.4% compared to 83.9%, a difference of 0.62%).

When considering family structure, the most significant differences between Colombian and Czech communities in the United States are seen in single mother households (6.6% compared to 5.6%, a difference of 16.4%), currently married (46.3% compared to 49.9%, a difference of 7.7%), and births to unmarried women (32.2% compared to 30.5%, a difference of 5.6%). Conversely, both communities are more comparable in terms of single father households (2.3% compared to 2.3%, a difference of 1.1%), family households with children (28.3% compared to 27.5%, a difference of 2.7%), and family households (66.3% compared to 64.5%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Colombian and Czech communities in the United States are seen in no vehicles in household (10.0% compared to 6.9%, a difference of 45.9%), 4 or more vehicles in household (5.5% compared to 7.4%, a difference of 32.7%), and 3 or more vehicles in household (17.8% compared to 22.5%, a difference of 26.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.0% compared to 93.3%, a difference of 5.9%), 2 or more vehicles in household (52.9% compared to 61.5%, a difference of 16.3%), and 3 or more vehicles in household (17.8% compared to 22.5%, a difference of 26.6%).

When considering education level, the most significant differences between Colombian and Czech communities in the United States are seen in no schooling completed (2.3% compared to 1.5%, a difference of 56.2%), doctorate degree (1.7% compared to 1.9%, a difference of 9.3%), and professional degree (4.6% compared to 4.4%, a difference of 5.3%). Conversely, both communities are more comparable in terms of associate's degree (46.8% compared to 47.2%, a difference of 0.83%), nursery school (97.7% compared to 98.6%, a difference of 0.91%), and kindergarten (97.7% compared to 98.6%, a difference of 0.93%).

When considering disability, the most significant differences between Colombian and Czech communities in the United States are seen in hearing disability (2.7% compared to 3.5%, a difference of 28.5%), disability age under 5 (1.2% compared to 1.5%, a difference of 26.9%), and disability age 18 to 34 (5.9% compared to 7.2%, a difference of 23.8%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (22.2% compared to 22.4%, a difference of 0.93%), vision disability (2.1% compared to 2.1%, a difference of 1.1%), and cognitive disability (16.6% compared to 16.4%, a difference of 1.3%).