Kenyan vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 163,482,549 people shows a mild positive correlation between the proportion of Hungarians within Kenyan communities in the United States with a correlation coefficient (R) of 0.313. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.055% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 54.9 Hungarians.

When considering income, the most significant differences between Kenyan and Hungarian communities in the United States are seen in wage/income gap (24.5% compared to 29.0%, a difference of 18.7%), median male earnings ($53,647 compared to $57,309, a difference of 6.8%), and householder income ages 25 - 44 years ($91,684 compared to $97,544, a difference of 6.4%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $39,510, a difference of 0.89%), householder income under 25 years ($50,815 compared to $50,247, a difference of 1.1%), and householder income over 65 years ($60,514 compared to $61,673, a difference of 1.9%).

When considering poverty, the most significant differences between Kenyan and Hungarian communities in the United States are seen in single father poverty (15.3% compared to 18.5%, a difference of 20.5%), single male poverty (12.4% compared to 13.8%, a difference of 11.6%), and married-couple family poverty (4.8% compared to 5.3%, a difference of 11.1%). Conversely, both communities are more comparable in terms of child poverty among boys under 16 (16.6% compared to 16.5%, a difference of 0.72%), family poverty (8.9% compared to 8.8%, a difference of 1.3%), and child poverty among girls under 16 (16.8% compared to 16.6%, a difference of 1.6%).

When considering unemployment, the most significant differences between Kenyan and Hungarian communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 5.5%, a difference of 14.1%), unemployment among seniors over 65 years (4.7% compared to 5.3%, a difference of 11.9%), and unemployment among seniors over 75 years (9.1% compared to 10.1%, a difference of 11.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.3%, a difference of 0.010%), male unemployment (5.2% compared to 5.2%, a difference of 0.59%), and unemployment among youth under 25 years (11.2% compared to 11.4%, a difference of 1.4%).

When considering labor participation, the most significant differences between Kenyan and Hungarian communities in the United States are seen in in labor force | age > 16 (67.6% compared to 63.8%, a difference of 5.9%), in labor force | age 20-64 (80.8% compared to 79.2%, a difference of 2.1%), and in labor force | age 45-54 (83.7% compared to 82.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (40.1% compared to 39.8%, a difference of 0.75%), in labor force | age 25-29 (85.4% compared to 84.6%, a difference of 0.86%), and in labor force | age 20-24 (77.0% compared to 76.3%, a difference of 0.94%).

When considering family structure, the most significant differences between Kenyan and Hungarian communities in the United States are seen in single mother households (7.0% compared to 5.7%, a difference of 22.7%), married-couple households (44.7% compared to 49.1%, a difference of 9.8%), and single father households (2.4% compared to 2.2%, a difference of 9.5%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.18, a difference of 1.2%), divorced or separated (12.2% compared to 12.0%, a difference of 1.9%), and births to unmarried women (31.9% compared to 31.2%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Kenyan and Hungarian communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 6.4%, a difference of 5.1%), 3 or more vehicles in household (19.1% compared to 19.8%, a difference of 3.8%), and no vehicles in household (9.7% compared to 9.9%, a difference of 2.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.3%, a difference of 0.020%), 2 or more vehicles in household (55.5% compared to 56.5%, a difference of 1.8%), and no vehicles in household (9.7% compared to 9.9%, a difference of 2.2%).

When considering education level, the most significant differences between Kenyan and Hungarian communities in the United States are seen in no schooling completed (2.0% compared to 1.6%, a difference of 28.4%), professional degree (4.4% compared to 4.6%, a difference of 5.2%), and doctorate degree (1.9% compared to 1.9%, a difference of 2.5%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.5%, a difference of 0.51%), kindergarten (98.0% compared to 98.5%, a difference of 0.51%), and 1st grade (97.9% compared to 98.4%, a difference of 0.51%).

When considering disability, the most significant differences between Kenyan and Hungarian communities in the United States are seen in disability age under 5 (1.2% compared to 1.5%, a difference of 28.2%), hearing disability (2.8% compared to 3.4%, a difference of 19.1%), and cognitive disability (18.1% compared to 16.5%, a difference of 10.1%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (11.4% compared to 11.4%, a difference of 0.39%), disability age over 75 (47.2% compared to 46.5%, a difference of 1.5%), and disability age 5 to 17 (5.8% compared to 5.8%, a difference of 1.7%).