Immigrants from Hungary vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 109,824,360 people shows a strong positive correlation between the proportion of Immigrants from Guyana within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.709. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.111% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 111.3 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in wage/income gap (27.0% compared to 18.4%, a difference of 47.2%), per capita income ($49,303 compared to $40,742, a difference of 21.0%), and median family income ($111,378 compared to $92,513, a difference of 20.4%). Conversely, both communities are more comparable in terms of median female earnings ($41,820 compared to $40,773, a difference of 2.6%), householder income under 25 years ($52,798 compared to $55,726, a difference of 5.6%), and median earnings ($50,227 compared to $45,204, a difference of 11.1%).

When considering poverty, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in receiving food stamps (10.3% compared to 16.9%, a difference of 63.4%), seniors poverty over the age of 65 (10.4% compared to 14.5%, a difference of 38.7%), and seniors poverty over the age of 75 (11.8% compared to 16.2%, a difference of 37.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.3% compared to 19.3%, a difference of 0.19%), single male poverty (12.6% compared to 12.7%, a difference of 0.68%), and single father poverty (16.1% compared to 16.5%, a difference of 2.5%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (17.5% compared to 25.5%, a difference of 45.3%), unemployment among youth under 25 years (11.4% compared to 15.9%, a difference of 39.9%), and unemployment among ages 20 to 24 years (10.0% compared to 13.9%, a difference of 38.5%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.9% compared to 8.9%, a difference of 0.020%), unemployment among ages 65 to 74 years (5.2% compared to 5.7%, a difference of 9.1%), and unemployment among ages 60 to 64 years (4.9% compared to 5.4%, a difference of 11.3%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 27.3%, a difference of 32.6%), in labor force | age 20-24 (74.9% compared to 69.3%, a difference of 8.1%), and in labor force | age 25-29 (84.8% compared to 83.0%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.0%, a difference of 0.90%), in labor force | age 35-44 (84.4% compared to 83.6%, a difference of 0.95%), and in labor force | age 45-54 (82.7% compared to 81.5%, a difference of 1.4%).

When considering family structure, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in single mother households (5.7% compared to 7.6%, a difference of 33.6%), births to unmarried women (29.7% compared to 35.0%, a difference of 17.6%), and married-couple households (47.3% compared to 41.6%, a difference of 13.8%). Conversely, both communities are more comparable in terms of single father households (2.1% compared to 2.1%, a difference of 1.0%), family households with children (26.7% compared to 26.3%, a difference of 1.3%), and divorced or separated (11.9% compared to 11.6%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in no vehicles in household (11.1% compared to 29.5%, a difference of 165.8%), 4 or more vehicles in household (5.8% compared to 3.4%, a difference of 71.8%), and 3 or more vehicles in household (18.5% compared to 11.2%, a difference of 64.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 70.6%, a difference of 26.1%), 2 or more vehicles in household (54.2% compared to 35.0%, a difference of 54.9%), and 3 or more vehicles in household (18.5% compared to 11.2%, a difference of 64.1%).

When considering education level, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in doctorate degree (2.2% compared to 1.3%, a difference of 68.4%), no schooling completed (1.9% compared to 3.1%, a difference of 62.3%), and professional degree (5.5% compared to 3.7%, a difference of 48.9%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 96.9%, a difference of 1.3%), kindergarten (98.1% compared to 96.8%, a difference of 1.3%), and 1st grade (98.1% compared to 96.8%, a difference of 1.3%).

When considering disability, the most significant differences between Immigrants from Hungary and Immigrants from Guyana communities in the United States are seen in hearing disability (3.1% compared to 2.3%, a difference of 35.1%), disability age under 5 (1.4% compared to 1.0%, a difference of 31.1%), and disability age 18 to 34 (6.5% compared to 5.5%, a difference of 18.7%). Conversely, both communities are more comparable in terms of disability (11.5% compared to 11.4%, a difference of 0.79%), disability age over 75 (46.1% compared to 47.1%, a difference of 2.2%), and female disability (11.9% compared to 12.2%, a difference of 2.7%).