Immigrants from Hungary vs Immigrants from Moldova Community Comparison

The statistical analysis conducted on geographies consisting of 88,575,306 people shows a strong positive correlation between the proportion of Immigrants from Moldova within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.707. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.193% in Immigrants from Moldova. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 193.4 Immigrants from Moldova.

When considering income, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in householder income under 25 years ($52,798 compared to $56,168, a difference of 6.4%), per capita income ($49,303 compared to $47,489, a difference of 3.8%), and wage/income gap (27.0% compared to 26.2%, a difference of 3.2%). Conversely, both communities are more comparable in terms of median earnings ($50,227 compared to $50,274, a difference of 0.090%), median male earnings ($59,806 compared to $59,417, a difference of 0.65%), and median household income ($92,094 compared to $91,446, a difference of 0.71%).

When considering poverty, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in child poverty under the age of 5 (16.5% compared to 14.5%, a difference of 13.6%), child poverty among girls under 16 (15.8% compared to 13.9%, a difference of 13.5%), and single male poverty (12.6% compared to 11.2%, a difference of 13.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.4%, a difference of 0.41%), seniors poverty over the age of 75 (11.8% compared to 11.9%, a difference of 0.93%), and married-couple family poverty (4.9% compared to 4.7%, a difference of 4.6%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in unemployment among women with children under 18 years (5.5% compared to 5.0%, a difference of 9.3%), unemployment among ages 45 to 54 years (4.5% compared to 4.1%, a difference of 9.2%), and unemployment among seniors over 75 years (7.7% compared to 8.3%, a difference of 8.3%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.4% compared to 6.5%, a difference of 0.70%), unemployment among ages 65 to 74 years (5.2% compared to 5.1%, a difference of 0.91%), and unemployment among seniors over 65 years (5.0% compared to 4.9%, a difference of 0.97%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 37.7%, a difference of 4.2%), in labor force | age > 16 (64.5% compared to 66.1%, a difference of 2.5%), and in labor force | age 20-24 (74.9% compared to 76.6%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.3%, a difference of 0.16%), in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.36%), and in labor force | age 35-44 (84.4% compared to 85.0%, a difference of 0.74%).

When considering family structure, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in births to unmarried women (29.7% compared to 27.3%, a difference of 9.0%), family households with children (26.7% compared to 27.6%, a difference of 3.6%), and currently married (47.6% compared to 48.5%, a difference of 1.8%). Conversely, both communities are more comparable in terms of single mother households (5.7% compared to 5.6%, a difference of 0.24%), average family size (3.17 compared to 3.18, a difference of 0.26%), and divorced or separated (11.9% compared to 12.1%, a difference of 0.88%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in no vehicles in household (11.1% compared to 9.8%, a difference of 13.2%), 2 or more vehicles in household (54.2% compared to 56.1%, a difference of 3.5%), and 3 or more vehicles in household (18.5% compared to 19.1%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 90.2%, a difference of 1.4%), 4 or more vehicles in household (5.8% compared to 6.0%, a difference of 2.1%), and 3 or more vehicles in household (18.5% compared to 19.1%, a difference of 3.3%).

When considering education level, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in doctorate degree (2.2% compared to 2.0%, a difference of 15.0%), professional degree (5.5% compared to 4.9%, a difference of 12.0%), and master's degree (17.5% compared to 16.6%, a difference of 5.6%). Conversely, both communities are more comparable in terms of 6th grade (97.3% compared to 97.3%, a difference of 0.010%), 5th grade (97.6% compared to 97.5%, a difference of 0.030%), and 4th grade (97.7% compared to 97.7%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from Hungary and Immigrants from Moldova communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 19.7%), self-care disability (2.4% compared to 2.6%, a difference of 6.5%), and disability age 5 to 17 (5.5% compared to 5.2%, a difference of 4.7%). Conversely, both communities are more comparable in terms of ambulatory disability (6.0% compared to 6.0%, a difference of 0.14%), cognitive disability (16.7% compared to 16.7%, a difference of 0.18%), and disability (11.5% compared to 11.6%, a difference of 0.43%).