Indian (Asian) vs Czech Community Comparison

The statistical analysis conducted on geographies consisting of 441,362,750 people shows a significant negative correlation between the proportion of Czechs within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.669. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.006% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 6.4 Czechs.

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

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

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

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

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

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

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

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