Hungarian vs Immigrants from Northern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 307,533,438 people shows a slight positive correlation between the proportion of Immigrants from Northern Africa within Hungarian communities in the United States with a correlation coefficient (R) of 0.064. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.005% in Immigrants from Northern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 4.7 Immigrants from Northern Africa.

When considering income, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in wage/income gap (29.0% compared to 25.2%, a difference of 15.0%), median female earnings ($39,510 compared to $42,084, a difference of 6.5%), and householder income under 25 years ($50,247 compared to $53,185, a difference of 5.9%). Conversely, both communities are more comparable in terms of median male earnings ($57,309 compared to $58,008, a difference of 1.2%), householder income over 65 years ($61,673 compared to $62,522, a difference of 1.4%), and householder income ages 45 - 64 years ($103,913 compared to $105,430, a difference of 1.5%).

When considering poverty, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in single father poverty (18.5% compared to 15.3%, a difference of 20.2%), single male poverty (13.8% compared to 11.9%, a difference of 15.4%), and seniors poverty over the age of 65 (9.7% compared to 11.0%, a difference of 13.3%). Conversely, both communities are more comparable in terms of poverty (12.2% compared to 12.1%, a difference of 0.030%), family poverty (8.8% compared to 8.8%, a difference of 0.040%), and female poverty (13.2% compared to 13.2%, a difference of 0.15%).

When considering unemployment, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.2%, a difference of 23.5%), unemployment among ages 25 to 29 years (6.8% compared to 6.3%, a difference of 7.9%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.7%, a difference of 7.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.45%), unemployment among ages 65 to 74 years (5.5% compared to 5.5%, a difference of 0.72%), and unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 1.1%).

When considering labor participation, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 35.9%, a difference of 10.9%), in labor force | age > 16 (63.8% compared to 66.6%, a difference of 4.4%), and in labor force | age 20-24 (76.3% compared to 74.6%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 85.2%, a difference of 0.70%), in labor force | age 35-44 (84.2% compared to 84.8%, a difference of 0.73%), and in labor force | age 30-34 (84.5% compared to 85.2%, a difference of 0.77%).

When considering family structure, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in single mother households (5.7% compared to 6.2%, a difference of 9.0%), married-couple households (49.1% compared to 46.0%, a difference of 6.8%), and births to unmarried women (31.2% compared to 29.5%, a difference of 5.9%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.8%, a difference of 0.73%), single father households (2.2% compared to 2.1%, a difference of 1.4%), and average family size (3.18 compared to 3.22, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in no vehicles in household (9.9% compared to 12.6%, a difference of 27.1%), 4 or more vehicles in household (6.4% compared to 5.6%, a difference of 13.3%), and 3 or more vehicles in household (19.8% compared to 17.8%, a difference of 11.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 87.4%, a difference of 3.3%), 2 or more vehicles in household (56.5% compared to 52.3%, a difference of 8.0%), and 3 or more vehicles in household (19.8% compared to 17.8%, a difference of 11.5%).

When considering education level, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in no schooling completed (1.6% compared to 2.2%, a difference of 37.6%), doctorate degree (1.9% compared to 2.1%, a difference of 11.4%), and master's degree (15.6% compared to 17.1%, a difference of 9.8%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.8%, a difference of 0.66%), kindergarten (98.5% compared to 97.8%, a difference of 0.67%), and 1st grade (98.4% compared to 97.8%, a difference of 0.67%).

When considering disability, the most significant differences between Hungarian and Immigrants from Northern Africa communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 33.0%), hearing disability (3.4% compared to 2.8%, a difference of 22.9%), and disability age 18 to 34 (7.1% compared to 6.1%, a difference of 16.5%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (22.4% compared to 22.4%, a difference of 0.37%), disability age over 75 (46.5% compared to 46.7%, a difference of 0.42%), and cognitive disability (16.5% compared to 17.3%, a difference of 4.9%).