Immigrants from Hungary vs French American Indian Community Comparison

The statistical analysis conducted on geographies consisting of 82,591,864 people shows a significant positive correlation between the proportion of French American Indians within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.670. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.141% in French American Indians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 141.0 French American Indians.

When considering income, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in per capita income ($49,303 compared to $40,244, a difference of 22.5%), median household income ($92,094 compared to $76,387, a difference of 20.6%), and householder income ages 45 - 64 years ($108,267 compared to $89,811, a difference of 20.5%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 25.4%, a difference of 6.6%), householder income under 25 years ($52,798 compared to $48,977, a difference of 7.8%), and median female earnings ($41,820 compared to $36,920, a difference of 13.3%).

When considering poverty, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in receiving food stamps (10.3% compared to 13.5%, a difference of 30.3%), child poverty under the age of 5 (16.5% compared to 20.8%, a difference of 26.5%), and child poverty among boys under 16 (15.7% compared to 19.2%, a difference of 22.6%). Conversely, both communities are more comparable in terms of single father poverty (16.1% compared to 17.4%, a difference of 8.5%), seniors poverty over the age of 75 (11.8% compared to 12.9%, a difference of 8.9%), and seniors poverty over the age of 65 (10.4% compared to 11.5%, a difference of 10.4%).

When considering unemployment, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 9.2%, a difference of 29.0%), unemployment among ages 35 to 44 years (4.6% compared to 5.5%, a difference of 19.8%), and unemployment among ages 25 to 29 years (6.4% compared to 7.5%, a difference of 16.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.4% compared to 11.7%, a difference of 2.6%), unemployment among ages 55 to 59 years (4.8% compared to 5.0%, a difference of 4.0%), and unemployment among women with children ages 6 to 17 years (8.9% compared to 9.3%, a difference of 4.3%).

When considering labor participation, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 39.8%, a difference of 10.2%), in labor force | age 20-24 (74.9% compared to 76.8%, a difference of 2.6%), and in labor force | age 45-54 (82.7% compared to 80.8%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.1%, a difference of 0.72%), in labor force | age 25-29 (84.8% compared to 84.2%, a difference of 0.74%), and in labor force | age 30-34 (85.1% compared to 84.1%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in births to unmarried women (29.7% compared to 36.6%, a difference of 23.1%), single father households (2.1% compared to 2.6%, a difference of 22.4%), and single mother households (5.7% compared to 6.9%, a difference of 21.4%). Conversely, both communities are more comparable in terms of family households with children (26.7% compared to 26.6%, a difference of 0.41%), average family size (3.17 compared to 3.20, a difference of 0.86%), and family households (63.6% compared to 62.4%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 6.8%, a difference of 16.9%), 3 or more vehicles in household (18.5% compared to 20.1%, a difference of 9.2%), and no vehicles in household (11.1% compared to 10.4%, a difference of 6.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 89.8%, a difference of 0.85%), 2 or more vehicles in household (54.2% compared to 55.5%, a difference of 2.4%), and no vehicles in household (11.1% compared to 10.4%, a difference of 6.5%).

When considering education level, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in professional degree (5.5% compared to 3.8%, a difference of 45.2%), doctorate degree (2.2% compared to 1.6%, a difference of 42.3%), and master's degree (17.5% compared to 12.7%, a difference of 38.0%). Conversely, both communities are more comparable in terms of 7th grade (96.4% compared to 96.3%, a difference of 0.10%), nursery school (98.1% compared to 98.0%, a difference of 0.12%), and kindergarten (98.1% compared to 98.0%, a difference of 0.12%).

When considering disability, the most significant differences between Immigrants from Hungary and French American Indian communities in the United States are seen in disability age 35 to 64 (10.4% compared to 13.7%, a difference of 31.5%), disability age 18 to 34 (6.5% compared to 8.2%, a difference of 25.6%), and disability age 5 to 17 (5.5% compared to 6.6%, a difference of 20.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.4% compared to 1.3%, a difference of 3.3%), disability age over 75 (46.1% compared to 48.3%, a difference of 4.9%), and cognitive disability (16.7% compared to 17.9%, a difference of 7.3%).