White/Caucasian vs Czech Community Comparison

The statistical analysis conducted on geographies consisting of 484,412,040 people shows a very strong positive correlation between the proportion of Czechs within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.888. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.009% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 9.0 Czechs.

When considering income, the most significant differences between White/Caucasian and Czech communities in the United States are seen in median family income ($99,800 compared to $105,839, a difference of 6.0%), per capita income ($42,180 compared to $44,595, a difference of 5.7%), and householder income ages 45 - 64 years ($98,091 compared to $103,507, a difference of 5.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,336 compared to $51,421, a difference of 2.2%), wage/income gap (28.5% compared to 29.2%, a difference of 2.3%), and median female earnings ($37,531 compared to $38,992, a difference of 3.9%).

When considering poverty, the most significant differences between White/Caucasian and Czech communities in the United States are seen in receiving food stamps (11.1% compared to 9.2%, a difference of 20.0%), married-couple family poverty (4.8% compared to 4.0%, a difference of 19.9%), and family poverty (8.8% compared to 7.4%, a difference of 18.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 20.4%, a difference of 1.8%), single male poverty (14.5% compared to 13.5%, a difference of 7.0%), and single female poverty (22.7% compared to 21.0%, a difference of 7.9%).

When considering unemployment, the most significant differences between White/Caucasian and Czech communities in the United States are seen in unemployment among ages 30 to 34 years (5.7% compared to 5.0%, a difference of 13.4%), unemployment (4.9% compared to 4.3%, a difference of 12.1%), and unemployment among women with children under 18 years (5.3% compared to 4.7%, a difference of 11.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (10.1% compared to 9.7%, a difference of 3.7%), unemployment among ages 60 to 64 years (4.7% compared to 4.4%, a difference of 5.5%), and unemployment among ages 55 to 59 years (4.7% compared to 4.4%, a difference of 7.8%).

When considering labor participation, the most significant differences between White/Caucasian and Czech communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 43.6%, a difference of 5.7%), in labor force | age > 16 (63.6% compared to 65.4%, a difference of 2.8%), and in labor force | age 20-64 (78.5% compared to 80.5%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 85.6%, a difference of 1.7%), in labor force | age 30-34 (83.9% compared to 85.5%, a difference of 1.9%), and in labor force | age 35-44 (83.6% compared to 85.3%, a difference of 2.0%).

When considering family structure, the most significant differences between White/Caucasian and Czech communities in the United States are seen in births to unmarried women (33.3% compared to 30.5%, a difference of 8.9%), single mother households (6.1% compared to 5.6%, a difference of 8.2%), and divorced or separated (12.6% compared to 11.9%, a difference of 5.8%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.5%, a difference of 0.35%), family households (65.1% compared to 64.5%, a difference of 0.97%), and average family size (3.14 compared to 3.11, a difference of 1.1%).

When considering vehicle availability, the most significant differences between White/Caucasian and Czech communities in the United States are seen in no vehicles in household (7.0% compared to 6.9%, a difference of 2.2%), 2 or more vehicles in household (60.8% compared to 61.5%, a difference of 1.1%), and 3 or more vehicles in household (22.6% compared to 22.5%, a difference of 0.29%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 93.3%, a difference of 0.17%), 4 or more vehicles in household (7.4% compared to 7.4%, a difference of 0.17%), and 3 or more vehicles in household (22.6% compared to 22.5%, a difference of 0.29%).

When considering education level, the most significant differences between White/Caucasian and Czech communities in the United States are seen in no schooling completed (1.6% compared to 1.5%, a difference of 9.2%), bachelor's degree (35.3% compared to 38.0%, a difference of 7.7%), and doctorate degree (1.8% compared to 1.9%, a difference of 7.4%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 98.6%, a difference of 0.14%), kindergarten (98.4% compared to 98.6%, a difference of 0.14%), and 1st grade (98.4% compared to 98.5%, a difference of 0.14%).

When considering disability, the most significant differences between White/Caucasian and Czech communities in the United States are seen in vision disability (2.4% compared to 2.1%, a difference of 13.1%), self-care disability (2.6% compared to 2.3%, a difference of 11.8%), and disability age 35 to 64 (12.6% compared to 11.3%, a difference of 11.8%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.4%, a difference of 3.6%), disability age over 75 (47.3% compared to 45.7%, a difference of 3.7%), and hearing disability (3.7% compared to 3.5%, a difference of 4.6%).