Czech vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 441,360,739 people shows a poor negative correlation between the proportion of Indians (Asian) within Czech communities in the United States with a correlation coefficient (R) of -0.126. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is a decrease of 0.016% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechs corresponds to a decrease of 15.6 Indians (Asian).

When considering income, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($96,525 compared to $119,496, a difference of 23.8%), median household income ($86,164 compared to $105,262, a difference of 22.2%), and per capita income ($44,595 compared to $53,874, a difference of 20.8%). Conversely, both communities are more comparable in terms of wage/income gap (29.2% compared to 26.4%, a difference of 10.3%), householder income under 25 years ($51,421 compared to $58,239, a difference of 13.3%), and householder income over 65 years ($61,244 compared to $70,238, a difference of 14.7%).

When considering poverty, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in seniors poverty over the age of 65 (9.0% compared to 11.1%, a difference of 23.3%), seniors poverty over the age of 75 (10.5% compared to 12.7%, a difference of 20.8%), and single male poverty (13.5% compared to 11.3%, a difference of 20.3%). Conversely, both communities are more comparable in terms of female poverty (11.9% compared to 12.2%, a difference of 2.7%), family poverty (7.4% compared to 7.7%, a difference of 4.0%), and female poverty among 18-24 year olds (20.4% compared to 19.6%, a difference of 4.1%).

When considering unemployment, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in unemployment among seniors over 75 years (9.7% compared to 8.0%, a difference of 21.8%), unemployment among women with children under 6 years (7.6% compared to 6.3%, a difference of 20.6%), and unemployment (4.3% compared to 5.1%, a difference of 18.3%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 1.7%), unemployment among ages 30 to 34 years (5.0% compared to 5.1%, a difference of 2.4%), and unemployment among women with children under 18 years (4.7% compared to 4.9%, a difference of 3.8%).

When considering labor participation, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (43.6% compared to 31.9%, a difference of 37.0%), in labor force | age 20-24 (78.5% compared to 71.9%, a difference of 9.2%), and in labor force | age 25-29 (85.6% compared to 84.7%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 85.4%, a difference of 0.15%), in labor force | age > 16 (65.4% compared to 65.5%, a difference of 0.18%), and in labor force | age 35-44 (85.3% compared to 84.8%, a difference of 0.59%).

When considering family structure, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in single father households (2.3% compared to 1.9%, a difference of 21.5%), births to unmarried women (30.5% compared to 25.3%, a difference of 20.8%), and divorced or separated (11.9% compared to 10.2%, a difference of 17.0%). Conversely, both communities are more comparable in terms of family households with children (27.5% compared to 27.6%, a difference of 0.16%), family households (64.5% compared to 65.1%, a difference of 1.1%), and married-couple households (49.4% compared to 48.7%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in no vehicles in household (6.9% compared to 14.1%, a difference of 104.4%), 3 or more vehicles in household (22.5% compared to 19.1%, a difference of 17.8%), and 2 or more vehicles in household (61.5% compared to 53.1%, a difference of 15.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.3% compared to 86.0%, a difference of 8.4%), 4 or more vehicles in household (7.4% compared to 6.4%, a difference of 14.3%), and 2 or more vehicles in household (61.5% compared to 53.1%, a difference of 15.8%).

When considering education level, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in no schooling completed (1.5% compared to 2.5%, a difference of 65.8%), doctorate degree (1.9% compared to 2.9%, a difference of 54.2%), and professional degree (4.4% compared to 6.5%, a difference of 49.1%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 0.98%), kindergarten (98.6% compared to 97.6%, a difference of 0.98%), and 1st grade (98.5% compared to 97.5%, a difference of 1.0%).

When considering disability, the most significant differences between Czech and Indian (Asian) communities in the United States are seen in disability age under 5 (1.5% compared to 1.0%, a difference of 54.7%), disability age 18 to 34 (7.2% compared to 5.5%, a difference of 30.7%), and hearing disability (3.5% compared to 2.7%, a difference of 30.1%). Conversely, both communities are more comparable in terms of disability age over 75 (45.7% compared to 46.5%, a difference of 1.9%), self-care disability (2.3% compared to 2.3%, a difference of 2.3%), and cognitive disability (16.4% compared to 16.8%, a difference of 2.8%).