Hungarian vs Immigrants from Czechoslovakia Community Comparison

The statistical analysis conducted on geographies consisting of 191,958,146 people shows no correlation between the proportion of Immigrants from Czechoslovakia within Hungarian communities in the United States with a correlation coefficient (R) of -0.007. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.000% in Immigrants from Czechoslovakia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 0.2 Immigrants from Czechoslovakia.

When considering income, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in per capita income ($45,426 compared to $51,770, a difference of 14.0%), median female earnings ($39,510 compared to $43,571, a difference of 10.3%), and median family income ($105,609 compared to $116,165, a difference of 10.0%). Conversely, both communities are more comparable in terms of wage/income gap (29.0% compared to 27.3%, a difference of 6.4%), householder income over 65 years ($61,673 compared to $66,376, a difference of 7.6%), and householder income ages 45 - 64 years ($103,913 compared to $111,914, a difference of 7.7%).

When considering poverty, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in child poverty under the age of 5 (17.9% compared to 14.8%, a difference of 21.2%), child poverty among girls under 16 (16.6% compared to 14.2%, a difference of 17.0%), and female poverty among 25-34 year olds (14.1% compared to 12.1%, a difference of 16.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (9.7% compared to 10.0%, a difference of 3.3%), female poverty among 18-24 year olds (19.8% compared to 19.1%, a difference of 3.7%), and seniors poverty over the age of 75 (11.2% compared to 11.7%, a difference of 4.6%).

When considering unemployment, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.4%, a difference of 19.6%), unemployment among women with children under 6 years (7.8% compared to 7.0%, a difference of 11.0%), and unemployment among ages 30 to 34 years (5.5% compared to 5.3%, a difference of 4.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.2%, a difference of 0.14%), unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.26%), and unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.70%).

When considering labor participation, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 36.6%, a difference of 8.9%), in labor force | age 20-24 (76.3% compared to 75.0%, a difference of 1.7%), and in labor force | age > 16 (63.8% compared to 64.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.2% compared to 84.8%, a difference of 0.67%), in labor force | age 45-54 (82.7% compared to 83.4%, a difference of 0.88%), and in labor force | age 25-29 (84.6% compared to 85.4%, a difference of 0.93%).

When considering family structure, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in births to unmarried women (31.2% compared to 28.4%, a difference of 10.0%), single father households (2.2% compared to 2.0%, a difference of 6.8%), and single mother households (5.7% compared to 5.3%, a difference of 6.6%). Conversely, both communities are more comparable in terms of currently married (48.8% compared to 48.4%, a difference of 0.97%), average family size (3.18 compared to 3.14, a difference of 1.1%), and family households (64.9% compared to 63.4%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in no vehicles in household (9.9% compared to 11.8%, a difference of 18.9%), 4 or more vehicles in household (6.4% compared to 5.8%, a difference of 10.7%), and 3 or more vehicles in household (19.8% compared to 18.5%, a difference of 7.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 88.3%, a difference of 2.3%), 2 or more vehicles in household (56.5% compared to 54.1%, a difference of 4.4%), and 3 or more vehicles in household (19.8% compared to 18.5%, a difference of 7.3%).

When considering education level, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in professional degree (4.6% compared to 5.8%, a difference of 25.5%), doctorate degree (1.9% compared to 2.4%, a difference of 24.3%), and master's degree (15.6% compared to 18.5%, a difference of 19.2%). Conversely, both communities are more comparable in terms of high school diploma (90.8% compared to 90.9%, a difference of 0.030%), 12th grade, no diploma (92.8% compared to 92.7%, a difference of 0.20%), and nursery school (98.5% compared to 98.2%, a difference of 0.25%).

When considering disability, the most significant differences between Hungarian and Immigrants from Czechoslovakia communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 29.5%), disability age 35 to 64 (11.4% compared to 10.0%, a difference of 14.5%), and disability age 18 to 34 (7.1% compared to 6.3%, a difference of 13.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.2%, a difference of 1.6%), disability age over 75 (46.5% compared to 45.1%, a difference of 3.2%), and self-care disability (2.5% compared to 2.4%, a difference of 4.9%).