Czech vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 334,093,648 people shows a moderate positive correlation between the proportion of Peruvians within Czech communities in the United States with a correlation coefficient (R) of 0.496. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 0.107% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechs corresponds to an increase of 107.2 Peruvians.

When considering income, the most significant differences between Czech and Peruvian communities in the United States are seen in wage/income gap (29.2% compared to 25.6%, a difference of 14.0%), householder income under 25 years ($51,421 compared to $56,052, a difference of 9.0%), and median household income ($86,164 compared to $90,261, a difference of 4.8%). Conversely, both communities are more comparable in terms of per capita income ($44,595 compared to $44,479, a difference of 0.26%), median family income ($105,839 compared to $105,444, a difference of 0.37%), and median earnings ($47,221 compared to $47,628, a difference of 0.86%).

When considering poverty, the most significant differences between Czech and Peruvian communities in the United States are seen in married-couple family poverty (4.0% compared to 5.3%, a difference of 31.7%), seniors poverty over the age of 65 (9.0% compared to 11.7%, a difference of 30.0%), and receiving food stamps (9.2% compared to 11.7%, a difference of 27.5%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.9% compared to 12.7%, a difference of 1.9%), child poverty under the age of 5 (15.5% compared to 16.0%, a difference of 3.0%), and single mother poverty (28.9% compared to 27.5%, a difference of 5.1%).

When considering unemployment, the most significant differences between Czech and Peruvian communities in the United States are seen in female unemployment (4.4% compared to 5.4%, a difference of 23.9%), unemployment (4.3% compared to 5.3%, a difference of 22.7%), and unemployment among women with children under 18 years (4.7% compared to 5.6%, a difference of 19.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.6% compared to 7.5%, a difference of 0.94%), unemployment among women with children ages 6 to 17 years (8.7% compared to 9.2%, a difference of 5.9%), and unemployment among ages 25 to 29 years (6.2% compared to 6.6%, a difference of 6.7%).

When considering labor participation, the most significant differences between Czech and Peruvian communities in the United States are seen in in labor force | age 16-19 (43.6% compared to 34.6%, a difference of 26.2%), in labor force | age 20-24 (78.5% compared to 74.5%, a difference of 5.3%), and in labor force | age > 16 (65.4% compared to 66.3%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.5% compared to 80.3%, a difference of 0.25%), in labor force | age 35-44 (85.3% compared to 84.9%, a difference of 0.44%), and in labor force | age 45-54 (83.9% compared to 83.6%, a difference of 0.45%).

When considering family structure, the most significant differences between Czech and Peruvian communities in the United States are seen in single mother households (5.6% compared to 6.5%, a difference of 15.7%), currently married (49.9% compared to 46.6%, a difference of 6.9%), and average family size (3.11 compared to 3.30, a difference of 6.1%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.24%), single father households (2.3% compared to 2.4%, a difference of 2.8%), and births to unmarried women (30.5% compared to 31.5%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Czech and Peruvian communities in the United States are seen in no vehicles in household (6.9% compared to 11.2%, a difference of 63.4%), 3 or more vehicles in household (22.5% compared to 19.6%, a difference of 14.7%), and 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 13.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.3% compared to 88.8%, a difference of 5.0%), 2 or more vehicles in household (61.5% compared to 55.0%, a difference of 11.8%), and 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 13.9%).

When considering education level, the most significant differences between Czech and Peruvian communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 60.1%), doctorate degree (1.9% compared to 1.8%, a difference of 5.1%), and college, under 1 year (67.1% compared to 64.1%, a difference of 4.6%). Conversely, both communities are more comparable in terms of bachelor's degree (38.0% compared to 38.3%, a difference of 0.91%), nursery school (98.6% compared to 97.6%, a difference of 0.97%), and kindergarten (98.6% compared to 97.6%, a difference of 0.99%).

When considering disability, the most significant differences between Czech and Peruvian communities in the United States are seen in hearing disability (3.5% compared to 2.7%, a difference of 28.9%), disability age under 5 (1.5% compared to 1.3%, a difference of 23.6%), and disability age 18 to 34 (7.2% compared to 6.0%, a difference of 21.4%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (22.4% compared to 22.2%, a difference of 0.82%), vision disability (2.1% compared to 2.1%, a difference of 1.4%), and cognitive disability (16.4% compared to 16.7%, a difference of 1.7%).