Immigrants from Hungary vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 191,539,286 people shows a moderate positive correlation between the proportion of Sub-Saharan Africans within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.433. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.191% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 191.4 Sub-Saharan Africans.

When considering income, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in per capita income ($49,303 compared to $40,152, a difference of 22.8%), householder income ages 25 - 44 years ($102,655 compared to $84,235, a difference of 21.9%), and householder income ages 45 - 64 years ($108,267 compared to $90,691, a difference of 19.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $48,691, a difference of 8.4%), median female earnings ($41,820 compared to $38,391, a difference of 8.9%), and householder income over 65 years ($64,277 compared to $56,615, a difference of 13.5%).

When considering poverty, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in receiving food stamps (10.3% compared to 14.1%, a difference of 36.2%), family poverty (8.4% compared to 10.9%, a difference of 29.8%), and child poverty under the age of 16 (15.5% compared to 19.9%, a difference of 28.7%). Conversely, both communities are more comparable in terms of single father poverty (16.1% compared to 16.9%, a difference of 5.4%), single male poverty (12.6% compared to 13.7%, a difference of 8.4%), and single mother poverty (28.9% compared to 31.4%, a difference of 8.7%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 9.2%, a difference of 19.2%), unemployment among women with children under 6 years (7.1% compared to 8.4%, a difference of 18.2%), and unemployment among ages 35 to 44 years (4.6% compared to 5.3%, a difference of 14.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.41%), unemployment among ages 55 to 59 years (4.8% compared to 5.0%, a difference of 2.7%), and unemployment among seniors over 65 years (5.0% compared to 5.2%, a difference of 4.6%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 38.4%, a difference of 6.3%), in labor force | age > 16 (64.5% compared to 66.2%, a difference of 2.6%), and in labor force | age 20-24 (74.9% compared to 75.7%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.5% compared to 79.3%, a difference of 0.22%), in labor force | age 35-44 (84.4% compared to 84.1%, a difference of 0.43%), and in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.59%).

When considering family structure, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in single mother households (5.7% compared to 7.8%, a difference of 37.9%), births to unmarried women (29.7% compared to 36.7%, a difference of 23.3%), and single father households (2.1% compared to 2.4%, a difference of 16.4%). Conversely, both communities are more comparable in terms of family households (63.6% compared to 62.1%, a difference of 2.5%), average family size (3.17 compared to 3.25, a difference of 2.6%), and family households with children (26.7% compared to 27.6%, a difference of 3.3%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in no vehicles in household (11.1% compared to 12.2%, a difference of 10.0%), 2 or more vehicles in household (54.2% compared to 51.9%, a difference of 4.5%), and 3 or more vehicles in household (18.5% compared to 17.9%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 87.9%, a difference of 1.3%), 4 or more vehicles in household (5.8% compared to 5.7%, a difference of 2.3%), and 3 or more vehicles in household (18.5% compared to 17.9%, a difference of 3.3%).

When considering education level, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in professional degree (5.5% compared to 4.1%, a difference of 33.1%), doctorate degree (2.2% compared to 1.8%, a difference of 27.2%), and master's degree (17.5% compared to 14.2%, a difference of 23.2%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.7%, a difference of 0.42%), kindergarten (98.1% compared to 97.7%, a difference of 0.42%), and 1st grade (98.1% compared to 97.7%, a difference of 0.42%).

When considering disability, the most significant differences between Immigrants from Hungary and Subsaharan African communities in the United States are seen in disability age 35 to 64 (10.4% compared to 12.6%, a difference of 21.2%), disability age 65 to 74 (21.7% compared to 25.1%, a difference of 15.5%), and disability age 5 to 17 (5.5% compared to 6.2%, a difference of 12.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.1% compared to 48.2%, a difference of 4.6%), disability age under 5 (1.4% compared to 1.3%, a difference of 4.8%), and male disability (11.1% compared to 11.8%, a difference of 5.6%).