Hungarian vs Zimbabwean Community Comparison

The statistical analysis conducted on geographies consisting of 68,472,082 people shows a substantial positive correlation between the proportion of Zimbabweans within Hungarian communities in the United States with a correlation coefficient (R) of 0.596. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.073% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 72.5 Zimbabweans.

When considering income, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in wage/income gap (29.0% compared to 26.3%, a difference of 10.3%), householder income over 65 years ($61,673 compared to $65,854, a difference of 6.8%), and median household income ($86,920 compared to $90,618, a difference of 4.3%). Conversely, both communities are more comparable in terms of per capita income ($45,426 compared to $45,804, a difference of 0.83%), median earnings ($47,795 compared to $48,229, a difference of 0.91%), and householder income ages 25 - 44 years ($97,544 compared to $98,586, a difference of 1.1%).

When considering poverty, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in married-couple family poverty (5.3% compared to 4.1%, a difference of 30.3%), female poverty among 25-34 year olds (14.1% compared to 11.7%, a difference of 20.9%), and single father poverty (18.5% compared to 15.6%, a difference of 18.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.2% compared to 11.2%, a difference of 0.46%), seniors poverty over the age of 65 (9.7% compared to 9.6%, a difference of 0.92%), and female poverty among 18-24 year olds (19.8% compared to 20.4%, a difference of 3.1%).

When considering unemployment, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.7%, a difference of 15.6%), unemployment among ages 55 to 59 years (4.8% compared to 4.2%, a difference of 14.2%), and unemployment among ages 30 to 34 years (5.5% compared to 4.8%, a difference of 13.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.1%, a difference of 2.1%), female unemployment (4.9% compared to 4.8%, a difference of 3.1%), and unemployment (5.0% compared to 4.8%, a difference of 4.6%).

When considering labor participation, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in in labor force | age > 16 (63.8% compared to 67.3%, a difference of 5.4%), in labor force | age 16-19 (39.8% compared to 38.7%, a difference of 2.9%), and in labor force | age 20-64 (79.2% compared to 81.0%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.5%, a difference of 0.15%), in labor force | age 20-24 (76.3% compared to 75.6%, a difference of 0.89%), and in labor force | age 30-34 (84.5% compared to 85.6%, a difference of 1.3%).

When considering family structure, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in births to unmarried women (31.2% compared to 28.7%, a difference of 8.9%), single mother households (5.7% compared to 6.1%, a difference of 6.9%), and currently married (48.8% compared to 47.0%, a difference of 3.9%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.20, a difference of 0.72%), family households with children (27.6% compared to 27.9%, a difference of 1.1%), and family households (64.9% compared to 64.1%, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in no vehicles in household (9.9% compared to 9.0%, a difference of 9.7%), 3 or more vehicles in household (19.8% compared to 20.3%, a difference of 2.2%), and 2 or more vehicles in household (56.5% compared to 57.2%, a difference of 1.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.4%, a difference of 0.65%), 1 or more vehicles in household (90.3% compared to 91.0%, a difference of 0.74%), and 2 or more vehicles in household (56.5% compared to 57.2%, a difference of 1.3%).

When considering education level, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in doctorate degree (1.9% compared to 2.3%, a difference of 19.5%), master's degree (15.6% compared to 17.7%, a difference of 13.9%), and bachelor's degree (38.3% compared to 43.3%, a difference of 13.1%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.8% compared to 92.7%, a difference of 0.13%), kindergarten (98.5% compared to 98.3%, a difference of 0.17%), and 1st grade (98.4% compared to 98.3%, a difference of 0.17%).

When considering disability, the most significant differences between Hungarian and Zimbabwean communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 31.6%), hearing disability (3.4% compared to 2.8%, a difference of 19.1%), and ambulatory disability (6.3% compared to 5.4%, a difference of 16.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.1%, a difference of 3.2%), disability age 65 to 74 (22.4% compared to 21.5%, a difference of 4.1%), and disability age 5 to 17 (5.8% compared to 5.5%, a difference of 5.4%).