Immigrants from Czechoslovakia vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 191,958,501 people shows a substantial positive correlation between the proportion of Hungarians within Immigrant from Czechoslovakia communities in the United States with a correlation coefficient (R) of 0.508. On average, for every 1% (one percent) increase in Immigrants from Czechoslovakia within a typical geography, there is an increase of 0.879% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Czechoslovakia corresponds to an increase of 879.1 Hungarians.

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

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

When considering unemployment, the most significant differences between Immigrants from Czechoslovakia and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (8.4% compared to 10.1%, a difference of 19.6%), unemployment among women with children under 6 years (7.0% compared to 7.8%, a difference of 11.0%), and unemployment among ages 30 to 34 years (5.3% compared to 5.5%, a difference of 4.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.2% compared to 5.3%, 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 Immigrants from Czechoslovakia and Hungarian communities in the United States are seen in in labor force | age 16-19 (36.6% compared to 39.8%, a difference of 8.9%), in labor force | age 20-24 (75.0% compared to 76.3%, a difference of 1.7%), and in labor force | age > 16 (64.8% compared to 63.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 84.2%, a difference of 0.67%), in labor force | age 45-54 (83.4% compared to 82.7%, a difference of 0.88%), and in labor force | age 25-29 (85.4% compared to 84.6%, a difference of 0.93%).

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

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

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

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