Immigrants from Hungary vs Immigrants from Micronesia Community Comparison

The statistical analysis conducted on geographies consisting of 43,397,137 people shows a very strong positive correlation between the proportion of Immigrants from Micronesia within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.896. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.019% in Immigrants from Micronesia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 18.5 Immigrants from Micronesia.

When considering income, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in per capita income ($49,303 compared to $37,464, a difference of 31.6%), householder income ages 25 - 44 years ($102,655 compared to $80,544, a difference of 27.5%), and median male earnings ($59,806 compared to $47,177, a difference of 26.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $50,691, a difference of 4.2%), householder income over 65 years ($64,277 compared to $61,000, a difference of 5.4%), and wage/income gap (27.0% compared to 24.4%, a difference of 10.5%).

When considering poverty, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in receiving food stamps (10.3% compared to 13.5%, a difference of 30.6%), female poverty among 25-34 year olds (13.0% compared to 15.8%, a difference of 22.2%), and child poverty under the age of 5 (16.5% compared to 19.4%, a difference of 17.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.7%, a difference of 2.8%), seniors poverty over the age of 75 (11.8% compared to 11.4%, a difference of 3.6%), and female poverty among 18-24 year olds (19.3% compared to 20.7%, a difference of 7.0%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 9.1%, a difference of 28.0%), unemployment among ages 35 to 44 years (4.6% compared to 5.5%, a difference of 19.6%), and unemployment among ages 60 to 64 years (4.9% compared to 4.2%, a difference of 15.3%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.4% compared to 11.4%, a difference of 0.19%), unemployment among women with children ages 6 to 17 years (8.9% compared to 8.9%, a difference of 0.20%), and unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.57%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 40.2%, a difference of 11.1%), in labor force | age 20-24 (74.9% compared to 77.8%, a difference of 3.9%), and in labor force | age 30-34 (85.1% compared to 82.4%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.7%, a difference of 0.28%), in labor force | age 20-64 (79.5% compared to 78.9%, a difference of 0.69%), and in labor force | age 35-44 (84.4% compared to 83.1%, a difference of 1.6%).

When considering family structure, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in single father households (2.1% compared to 2.6%, a difference of 22.3%), single mother households (5.7% compared to 6.9%, a difference of 21.5%), and births to unmarried women (29.7% compared to 32.9%, a difference of 10.6%). Conversely, both communities are more comparable in terms of family households (63.6% compared to 64.2%, a difference of 0.95%), family households with children (26.7% compared to 27.2%, a difference of 2.1%), and currently married (47.6% compared to 45.6%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 7.6%, a difference of 29.6%), 3 or more vehicles in household (18.5% compared to 20.7%, a difference of 12.4%), and no vehicles in household (11.1% compared to 10.1%, a difference of 10.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 90.1%, a difference of 1.2%), 2 or more vehicles in household (54.2% compared to 55.1%, a difference of 1.6%), and no vehicles in household (11.1% compared to 10.1%, a difference of 10.0%).

When considering education level, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in professional degree (5.5% compared to 3.2%, a difference of 68.6%), doctorate degree (2.2% compared to 1.3%, a difference of 66.7%), and master's degree (17.5% compared to 10.8%, a difference of 63.0%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.0%, a difference of 0.14%), kindergarten (98.1% compared to 98.0%, a difference of 0.14%), and 1st grade (98.1% compared to 97.9%, a difference of 0.15%).

When considering disability, the most significant differences between Immigrants from Hungary and Immigrants from Micronesia communities in the United States are seen in disability age under 5 (1.4% compared to 1.0%, a difference of 36.3%), disability age 35 to 64 (10.4% compared to 12.9%, a difference of 23.8%), and disability age 65 to 74 (21.7% compared to 26.1%, a difference of 20.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.5% compared to 5.9%, a difference of 7.5%), cognitive disability (16.7% compared to 18.1%, a difference of 8.4%), and disability age over 75 (46.1% compared to 50.1%, a difference of 8.7%).