Peruvian vs Czechoslovakian Community Comparison

The statistical analysis conducted on geographies consisting of 274,278,238 people shows a substantial positive correlation between the proportion of Czechoslovakians within Peruvian communities in the United States with a correlation coefficient (R) of 0.554. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.049% in Czechoslovakians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 49.0 Czechoslovakians.

When considering income, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in wage/income gap (25.6% compared to 28.2%, a difference of 10.1%), householder income under 25 years ($56,052 compared to $51,224, a difference of 9.4%), and median household income ($90,261 compared to $84,965, a difference of 6.2%). Conversely, both communities are more comparable in terms of median male earnings ($55,659 compared to $55,382, a difference of 0.50%), per capita income ($44,479 compared to $43,806, a difference of 1.5%), and median earnings ($47,628 compared to $46,658, a difference of 2.1%).

When considering poverty, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in seniors poverty over the age of 65 (11.7% compared to 9.5%, a difference of 23.6%), seniors poverty over the age of 75 (13.4% compared to 10.9%, a difference of 22.6%), and married-couple family poverty (5.3% compared to 4.4%, a difference of 21.7%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (15.4% compared to 15.5%, a difference of 0.73%), child poverty under the age of 16 (15.3% compared to 15.1%, a difference of 1.3%), and child poverty among boys under 16 (15.5% compared to 15.3%, a difference of 1.3%).

When considering unemployment, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in female unemployment (5.4% compared to 4.8%, a difference of 13.5%), unemployment (5.3% compared to 4.8%, a difference of 11.4%), and unemployment among women with children under 18 years (5.6% compared to 5.1%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.5% compared to 5.4%, a difference of 0.97%), unemployment among women with children ages 6 to 17 years (9.2% compared to 9.1%, a difference of 1.1%), and unemployment among ages 25 to 29 years (6.6% compared to 6.7%, a difference of 1.8%).

When considering labor participation, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 41.9%, a difference of 21.1%), in labor force | age 20-24 (74.5% compared to 77.5%, a difference of 4.0%), and in labor force | age > 16 (66.3% compared to 64.3%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 84.8%, a difference of 0.020%), in labor force | age 25-29 (84.7% compared to 85.0%, a difference of 0.35%), and in labor force | age 35-44 (84.9% compared to 84.6%, a difference of 0.40%).

When considering family structure, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in single mother households (6.5% compared to 5.9%, a difference of 11.0%), family households with children (29.0% compared to 27.0%, a difference of 7.2%), and average family size (3.30 compared to 3.13, a difference of 5.5%). Conversely, both communities are more comparable in terms of births to unmarried women (31.5% compared to 32.0%, a difference of 1.7%), married-couple households (47.6% compared to 48.5%, a difference of 1.9%), and single father households (2.4% compared to 2.3%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in no vehicles in household (11.2% compared to 7.8%, a difference of 43.6%), 3 or more vehicles in household (19.6% compared to 21.7%, a difference of 10.7%), and 4 or more vehicles in household (6.5% compared to 7.1%, a difference of 10.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 92.3%, a difference of 3.9%), 2 or more vehicles in household (55.0% compared to 59.8%, a difference of 8.8%), and 4 or more vehicles in household (6.5% compared to 7.1%, a difference of 10.2%).

When considering education level, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 47.3%), professional degree (4.5% compared to 4.2%, a difference of 7.1%), and master's degree (15.3% compared to 14.5%, a difference of 5.4%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.23%), associate's degree (46.4% compared to 46.0%, a difference of 0.80%), and nursery school (97.6% compared to 98.5%, a difference of 0.84%).

When considering disability, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in hearing disability (2.7% compared to 3.6%, a difference of 30.1%), disability age 18 to 34 (6.0% compared to 7.4%, a difference of 24.6%), and disability age under 5 (1.3% compared to 1.5%, a difference of 20.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.46%), disability age over 75 (46.8% compared to 46.6%, a difference of 0.58%), and self-care disability (2.4% compared to 2.5%, a difference of 2.7%).